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-rw-r--r--vignettes/FOCUS_D.html146
1 files changed, 76 insertions, 70 deletions
diff --git a/vignettes/FOCUS_D.html b/vignettes/FOCUS_D.html
index d27b4767..0c45a550 100644
--- a/vignettes/FOCUS_D.html
+++ b/vignettes/FOCUS_D.html
@@ -358,7 +358,7 @@ pre code {
<h1 class="title toc-ignore">Example evaluation of FOCUS Example Dataset
D</h1>
<h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 31 January 2019 (rebuilt 2023-05-18)</h4>
+<h4 class="date">Last change 31 January 2019 (rebuilt 2025-02-16)</h4>
</div>
@@ -425,12 +425,12 @@ equations represented in R code can be found in the character vector
(gcc) is installed and functional, the differential equation model will
be compiled from auto-generated C code.</p>
<pre class="r"><code>SFO_SFO &lt;- mkinmod(parent = mkinsub(&quot;SFO&quot;, &quot;m1&quot;), m1 = mkinsub(&quot;SFO&quot;))</code></pre>
-<pre><code>## Temporary DLL for differentials generated and loaded</code></pre>
+<pre><code>## Successfully compiled differential equation model from auto-generated C code.</code></pre>
<pre class="r"><code>print(SFO_SFO$diffs)</code></pre>
-<pre><code>## parent
-## &quot;d_parent = - k_parent * parent&quot;
-## m1
-## &quot;d_m1 = + f_parent_to_m1 * k_parent * parent - k_m1 * m1&quot;</code></pre>
+<pre><code>## parent
+## &quot;d_parent = - k_parent_sink * parent - k_parent_m1 * parent&quot;
+## m1
+## &quot;d_m1 = + k_parent_m1 * parent - k_m1_sink * m1&quot;</code></pre>
<p>We do the fitting without progress report
(<code>quiet = TRUE</code>).</p>
<pre class="r"><code>fit &lt;- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE)</code></pre>
@@ -441,95 +441,101 @@ variables is obtained using the <code>plot_sep</code> method for
<code>mkinfit</code> objects, which shows separate graphs for all
compounds and their residuals.</p>
<pre class="r"><code>plot_sep(fit, lpos = c(&quot;topright&quot;, &quot;bottomright&quot;))</code></pre>
-<p><img 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+<pre><code>## Warning: In subset.data.frame(fit$fixed, type = &quot;state&quot;) :
+## extra argument &#39;type&#39; will be disregarded
+## Warning: In subset.data.frame(fit$fixed, type = &quot;state&quot;) :
+## extra argument &#39;type&#39; will be disregarded</code></pre>
+<p><img 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width="768" /></p>
<p>Confidence intervals for the parameter estimates are obtained using
the <code>mkinparplot</code> function.</p>
<pre class="r"><code>mkinparplot(fit)</code></pre>
-<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABgAAAAMACAMAAADVCFz+AAAC/VBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWnp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////JahlgAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO3deZwU9Z3/8fdwDPeNB+AJUQE1AVRQAolrdFFRVzEkmpgs8QCDoIggrEFDjGv8SYzRRGIIuooa4iZeBInHz+gaE+9FXaP5GYIKIWxAjggoINOPX3VX9UzPTB9TUF3f7vq8nv90dVX1zPc7PdRr6KuUAgCYJNcDAAC4EXkA1qwAAJTBmqiP11EH4NkaAQDKoObZiA/YUQfgHnXuDwCIXGfdE/EBO/oAnBfxVwQAeM4jAABgEwEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMIQPmsmD6wY+/Rt213PQ4AyIsA7Ik3L774DwU3LuigjMP/EuOIAKDFCMCe+I10V6Ft99VIn5sxaV+p/8Y4xwQALUQA9kSRAGzordaLvcttY6XL4hwTALQQAdgTRQJwrTQjs7BpX7VZG9+QAFSLLS9E+uV2PLcr7E3MBWDnlroW7LV1feFNHzUsFwnA4Wqzxl/6tjS/xcMDYMYkPRPll7tei8LexFAAvKP18g0XdFPrvqfcWx+BTd8/qU9t7yHjHw+uH61zUlvnHFjzZPrK7yce0qnX8Okrg22jdFrqpdGt1fEzF2ZWTfOf5NW7eb7Ze9LIYPFVaWw0MwCQJGfrl1F+uem6KexNbAVg2YHBMfuz6/x1y3oEK3SC/2pNLwBbP+9d9QLw8YRgU+tr/J29ADzazl9V+0CqeACWSpcHi5900EHRzABAkpQKwKoh/Rs5tfhDPASgGC8A+0mf+vqkIa2kIZ+kV73jHc/7Xzz3ilPaSJdkdvICMEEDLpm3JpU6Q2o7ZsbUUd4h/qLMtlEa0lODr1h4tfdluns7/HX5bdK1y5fvyPPN5kk/yi4fppqt0UwBQIKUCsCDauLvRXcnAMV4AVCrG9JLy7pLd6YXvL/xp2Wa+lo39cvsdLT6aEbmUf5HpKPeTC882U9aml5Ip2By+j8KW4bK/7EVfg5gthru2uOlVdFMAUCClArAA/rnFTl6EoA9kA7ANf7i76QDPvYuh6pz8D7d86QP0pdHS8dlVmz/lHqu9rc9VaNh6UsvAMf4Tx4sla4IvmSBAEyRlmWXT5XeimYKABKkdADOyr26FwHYA97Rulv2LVneMflB7+KV598IVkySMq/V9ALwaGbFw9Lc7C0/p5r0cwajgv8JpFKrpCnBlywQgPOlp7LLZ0kvRTMFAAlCAEqLMgBnZ5fvk67M2bRzWe+GAPiv3pwpPZ3dPE16LJUJwP/6K9aXDMBk/yYZY6XXo5kCgAQhAKVFGYD6g/7z0rmZhY+fumXK2CNq08+vBAFo5z/K8+XGT77cm0oHoHNw89IBuNL/L0bGP0kro5kCgAQhAKVFGYCbs8trpFO8i+3XdfNf6HncsPoA+E8Gp05uHIA7UukA9A5uXjoA86SfZJcHSZujmQKABPmcjhtfzEj1y73aTmcU3f1QzQk7AlsBmJVdfkX6YipVl36l5xn/vuTNj9OP8gQB2M/fY7z02PIG6XcGhwnAIw3frK6T+kYzAwBJ0r/pyzz31FfCjsBWAL6YXV4sXZpKLZGODF6g2SwA3ooXm3yBMAFYKZ0QLL4pjYlkAgAS5QxdcX8xMzQ892pXLSy6+2maF3YEtgLQI/tQzDjp56nU5VL2IyAmNA3AL6TvZW9505QZ6ScGwgQgNVDtg5cc3STdEs0MACQJzwGUFun7AL7jL74g7eW1YKL0ir9iXb+mAdjSR3sH/zt4uUbnpC9DBeBq6cbMwo5D1eb9aGYAIEkIQGmRBqD1D9JLj/eSfuxdzg+O46kXhnjbVqSX6gOQulPaL/Pqzdf6Zj4aqEAAbi/w3dZ3UeeXvcu6qdLEaCYAIFEIQGlRBmB/adCFU45pJR2e/gCfVT2kE364aO7pNTpMGvfoR7kB2DVCanfmNd8a6+19VWZN8wA8I31m0cL8L/HxAtJx6t23jpQOXhfNBAAkCgEoLcoAzP9m8GT5CP8ULQ8Fp+3tfveL6YvVuQFIbRoT7Fw7039rQPMAbMy8ijTfp4F65rXxbz6Qz4EAkEfpABx+Q45OBGAPZB6vefLsPrX7jFmU/VTVVRcP69Jt2Nz1qdSNfdoesq5RAFKpR796UIe9R01ZGVxtHoDUf322S+1Bawp8w+UTB7TvNeJmPgkUQD6lArC0yas8azYV3Z0AFFPkAXsAiF2pAOyYNyvX7F8U/3IEoBgCAKCSnK1fRfnlpusHYW9CAADAiYVHrIzyyy0d1PTNqyURAAAwigDsuSafG5d2XVm+EQBEiQDsuZsvbObXZflGABAlQwHY8PTThV6wCQAGGQoAACAXAQAAowgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhVDQE45eWwfrjoHovuuNn1CNy4dYHrEbjxf2z+mi/8oesRuHHLb0IfCEs7peIDcJ8AAGVxX8QH7KgDsPqEo8LaV206WtRK7V0PwYUOqnE9BCfaqq3rIThh9te8TegjYQucsjriA3bUAdgNN2m66yE4MULPux6CCyt1kOshOHGDZrkeghPD9IrrIbjw/3SI6yG0CAFwhgCYQgBMIQAtRgBMIQC2EICKRgCcIQCmEABTCECLEQBTCIAtBKCiEQBnCIApBMAUAtBiBMAUAmALAahoBMAZAmAKATCFALQYATCFANhCACoaAXCGAJhCAEwhAC1GAEwhALYQgIpGAJwhAKYQAFMIQIsRAFMIgC0EoKIRAGcIgCkEwBQC0GIEwBQCYAsBqGgEwBkCYAoBMIUAtBgBMIUA2EIAKhoBcIYAmEIATCEALfbMPve7HoITMwescz0EFz46YoLrITjxf/d50PUQnJh2yAbXQ3Bhy+ALXQ+hRSogAAAAFwgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAAOyhNe/ucj2E3eI8ACumD+zYe/Rt212PIx5PfOOwrj2O/ddnG9YYmv+rtXqy/oqNee964IyDOhx57h8a1piY97MTRnQ94OQ5HzSsSfq0d3bX2pyrzadbqT8A1wFY0EEZh//F8UDisHGcAl9bH6wyNP9tg9QQABvzXvV5f5Y1k7J/HlqY94Zzg9/yXndkVyV+2kuUG4Dm063YH4DjANxXI31uxqR9pf4b3Y4kBjtP9A4FJ8y6bLT3izCmLrPK0vwnqyEANua9boDU96IrxniT/Y6/xsS8T5fanDr9gsHeb/tSf03ip71lcG4Amk+3cn8AbgOwobdaL/Yut42VLnM6kjgskGoz/yKe8H4RfpResDT/pWoIgJF5e7ObtMO7fK6zWr2WXmFi3j+RBvzRu9z1A2mvTek1iZ/2b9N/09UHoPl0K/gH4DYA10ozMgub9lWbtSV2rnpHSL/0lx6rUc9PUqbm//d91Lo+ADbm/ZR0kv8fvdulq9OXJuY9VHrGXzpbWpa+TPa0bz2tb+bRnfqJNZ9uBf8A3AbgcLVZ4y99W5rvdCjl9yfp09nlY6QXU6bmf5r6nV8fABvzHie94i99OOSIL6cvTcy7nToFz3jcIX03fZnsaR8fPONRf2BvPt0K/gE4DcB70shg8VVprMuhxOBh6ZLs8kTpIVPzn6+ax2dkA2Bj3ts6alDjNSbmXddW3YPFxdK0VOKnvWC25+CGADSfbiX/AJwGYKl0ebD4SQcd5HIoMVjUvv1N2eWvSb+3NP+3O+rSVH0AbMz7OWlS4zU25j1YesNfmuz/uWth2ic3BKD5dCv5B+A0APOC50LTDlPNVpdjidWO/VSz3tD8dwzTwG0NAbAxb/8BkJcX3rjw9WCNjXn/VBq+Ib2wrLV6pV/zYmHaOQFoPt1K/gE4DcDs+mdFM4+krXI5llhdL52dMjT/WWr7cqohADbmPUf62e8Ozzw8fOxbmTU25p2aJvW6bP4Np0s9nk9ftzDtnAA0n24l/wCcBmBK8CqBtFOlt1yOJU4/rlG79MsCrcz/6Va6LpUTABvz9o6Dk9sGTxC2vyu9xsa8U6mFwawHrc5ctTDtnAA0n24l/wCcBuB86ans8lnSSy7HEp8V3u9Aq/9MLxmZ/8YDdGz6Ra/1AbAx74mZv/1/vXr9b707vOOKlJV5p5YdmH3D+1czb3i3MO2cADSfbiX/AJwGYLL0WHZ5rPR6sX2TYsucdlLPX2WWjcz/XHV6J31ZHwAb877AOwJe5L8g8jLppJSVeS9urfZzXtr8/tJR0qfTBbAw7ZwANJ9uJf8AnAbgSunB7PI/SSsdDiUuD+zvHRbO/Jt/xcb875EWZBbqA2Bj3lOl/bf4ix/um3nk18S8369Vh+AQ53XvSykb084JQPPpVvIPwPWrgH6SXR4kbXY5llhs/pJ3+B9W/99BE/Pf3DX7yufcVwElf96pf5MuyC6Pz7zvw8S8vXv5e8Hi9v5qtdLGtBu/CqjJdCv5B+A0AI9Is4LFuk7q63Iosdh4pNTzrrr66ybmv1qNTTAy7/RHP83LLl8l3Wlk3if6b3LP+Ib0sI1p5wSg+XQr+QfgNAArpROCxTelMS6HEoePRnuT/FvOChPzzxMAE/NOPeu/DzbjosyDACbmfbT0bnZ5lrTIxrRzAtB8upX8A3D7WUAD1T74dNSbpFucDiUGM6Wv7Gy0xsL8N8/OGi6dM3t2+vVPFuad2t5dx2aXh0rp58EtzPuszF/9Pu+w+HTKxLRzApBnuhX8A3AbgKulGzMLOw5Vm/edDqX8tvbQgG2NV5maf8NzAEbmfYF0v790vzQ0fWlh3guk0cGHwb3SVt3Sp8AyMO3cADSfbgX/ANwGYH0XdX7Zu6ybKk10OpIY3JnzmHDA1PxzAmBj3u+1V/dMAR7sqVaZ98RamPf2IdLXMyeDfOZg6fb0goFp5wag+XQr+Afg+Ixg3kGx49S7bx0pHbzO7UjK75vSkcc3+HN6naX55wTAyLznSzpq8iXDlf04eBPzfquj1PPMWROP86Y9zl+V/GnnBiDPdCv3B+D6nMDz2vhPDQ6sqPdHl8WYxk+GLs+sNDT/3AAYmfcNwUdBdJ6ffemXhXm/OjL4FW93VfZzzxI/7UYByDPdiv0BuA5AavnEAe17jbi5oj4hrzwOyRcAQ/NvFAAj835j6mGdOw+aurJhjYV51917et/aroMnv9OwKunTbhyAPNOt1B+A8wAAANwgAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEZFHYC1404EAJTBuLWlj8GhRB2A+wQAKIv7Ij5gRx2Ae/SFJ0KapC+GvQkAmPMF3RPxATv6AJwX9iY3aXrEgwCA5DmPAACATYkMwA8IAACUlMgAPH/gkogHAQDJk8gAAABKIwAAYBQBAACjCAAAGEUAAMCoZAZgW8RjAIAESmQAftPmPyIeBAAkTyIDwDuBAaA0AgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMSGQDOBwAApSUyAJwPAABKS2QAAAClEQAAMIoAAIBRBAAAjCIAAGBUMgPA+QAAoKREBoDzAQBAaYkMAO8EBoDSCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAIxKZAA4HwAAlJbIAHA+AAAoLZEBAACURgAAwCgCAABGEQAAMIoAAIBRyQwA5wMAgJISGQDOBwAApSUyALwTGABKIwAAYBQBAACjCAAAGEUAAMAoAgAARhkKwNvS3AjGAwAJkcgA5D8fgJMAvHnxxX+I/ZsCQEskMgD5zwfgJAC/ke6K/ZsCQEskMgD5EQAAyEUAyosAAFXhT5f+1fUQ9tSfLl0T9iYEoJmdW+pasNfW9YU3fdSwTACAqnClfuh6CHtqpm4JexOLAfhgiHRlvj28o/XyDRd0U+u+p9xbH4FN3z+pT23vIeMfD64frXNSW+ccWPNk+srvJx7Sqdfw6SuDbaN0Wuql0a3V8TMXZlZNk+/daGYAoFyu0PfL8WXfeKKR98vxPbKm66awNzEYgA3DpBl59/ACsOzA4Jj92XX+umU9ghU6YXtmhReArZ/3rnoB+HhCsKn1Nf7OXgAebeevqn0gRQCAqlGeALxYo0Y6bynDN8kiAIG85wMIArDxaBV6n5gXgP2kT3190pBW0pBP0qve8Y7n/S+ee8UpbaRLMjt5AZigAZfMW5NKnSG1HTNj6ijvfr0os22UhvTU4CsWXu19me7eDn9dfpt07fLlO0LPAECsyhOAh7XXiTlq9bcyfJMsAuDLfz4APwCbh0vTCt3OO5K3uiG9tKy7dGd6wfsbf9qu9MJr3dQvs9PR6qMZmUf5H5GOejO98GQ/aWl6IZ2Cyen/KGwZKv8Hy3MAQFUoVwDOyL26LwEIK9p3Av/jWOmyQrdLB+Aaf/F30gEfe5dD1dl/5Mf7SemD9KX3H4jjMiu2f0o9V/vbnqrRsPSlF4Bj/CcPlkpXBF+SAACVjwBEo6ID8OFI6ZsFb+cdrbttDJZPlR70Ll55/o1gxSRpbfrSC8CjmRUP57yq6HOqST9nMCr4n0AqtUqaEnxJAgBUPgIQjUoOwIzR6cdoCt7OO1qfnV2+r/ErhXYu690QAP/FtjOlp7Obp0mPpTIB+F9/xXoCAFQTAhCNSg5AW9XUqtULhW73m5yD/vPSuZmFj5+6ZcrYI2rTz+AHAWjnP8rz5cZP79+bSgegc3BzAgBUlSv03Q3Ru0+n5F7dW2+X4ZtkTSYAGQUDoJoF10tDPylwO+9ofXN2eY10inex/bpu/gs9jxtWHwD/yeDUyY0DcEcqHYDewc0JAFBVTlUCXBx21rYCULMgtWOwCr7jzztaz8ouvyJ9MZWqS7/S84x/X/Lmx+lHeYIA7OfvMV56bHmD9DuDCQBQpf5FHXpEr7Pa5l5tpW5l+CZZ7f2DThi2ApD+8TwjdSnwoR+/yRz0fYulS1OpJdKRq/wVzQLgrXixyRcgAECV4jmAaFRAAIqfD2CCND7/7byjdY/NwfI46eep1OVS9iMgJjQNwC+k72VvedOUGeknBggAUKUIQDQqIADFzwewrmf2hZxNpd8H8B1/8QVpL68FE6VX/BXr+jUNwJY+2jv438HLNTonfUkAgCpFAKJRAQHIr/7D4H4m9c/7YRHpALT+QXrp8V7Sj73L+cFxPPXCEG/bivRSfQBSd0r7vZ5eeK1v5qOBCgTg9miGD6CMCEA0Kj8AdSOlb+Xbwzta7y8NunDKMa2kw9Mf4LOqh3TCDxfNPb1Gh0njHv0oNwC7RkjtzrzmW2O9va/KrGkegGekzyxauLn59wJQSQhANCo/AKnX26j2j3n28AIw/5vB66lGZB7vST3Uwb/a/e4X0xercwOQ2jQm2Ll2pv/WgOYB2Jh5FSmfBgpUuHIFoGP/HK0JQFjlOCHMTOn4PHtkHq958uw+tfuMWbQrWLfq4mFdug2buz6VurFP20PWNQpAKvXoVw/qsPeoKSuDq80DkPqvz3apPSj0eXoAxKs8Afjv1o1fqN8j74PPESEAe4YH7AGrynRCmLUrGtlY+ha7jwAEdrOyBACwarZudT2EPTVLPwp7k0QGIP/5AFpwOwIAGPXetwuf5rtK7MYUEhmA/O8ELo0AALDEbACafJRb2nUEAIAlZgNw84XN/JoAALDEbADy2fD007xgE4AZBAAAjCIAAGAUAQAAoxIZgPznAwAA5EpkAPKfDwAAkCuRAQAAlEYAAMAoAgAARhEAADCKAACAUckMQDnPugMACZHIAOzu+QAAwJJEBoB3AgNAaQQAAIwiAABgFAEAAKMIAAAYRQAAwCgCAABGJTIAnA8AAEpLZAA4HwAAlJbIAAAASiMAAGAUAQAAowgAABhFAADAqGQGgPMBAEBJiQwA5wMAgNISGQDeCQwApREAADCKAACAUQQAAIwiAABgFAEAAKMIAAAYlcgAcD4AACgtkQHgfAAAUFoiAwAAKI0AAIBRBAAAjCIAAGAUAQAAo5IZAM4HAAAlJTIAnA8AAEpLZAB4JzAAlEYAAMAoAgAARhEAADCKAACAUQQAAIwiAABgVCIDwPkAAKC0RAaA8wEAQGmJDAAAoDQCAABGEQAAMIoAAIBRBAAAjEpmADgfAACUlMgAcD4AACgtkQHgncAAUBoBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUYkMAOcDAIDSEhkAzgcAAKUlMgAAgNIIAAAYRQAAwCgCAABGEQAAMCqZAeB8AABQUiIDwPkAAKC0RAaAdwIDQGkEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAAVWPNu7si/GqJDADnAwBQcd6W5u7p19jZXWujGEsgkQHgfAAAKk4UAVgiAgAAVSeCAGwZTAAAoPrseQB+O1oEIHLvPltqj38s+aTcgwCQbHsYgFtP6ysRgOiNrHmvxB6zdW+5BwEg2VocgHXb8609XiIA5XCE3iixx2TdVu5BAEi2+gB8MES6Mu8uo3Raav5+Us9R6T85l52+T7tDx/9PsG3BbM/BBKC0kOcDCALwwaE9Ghm0qX4PAgBgD2UDsGGYNCP/Ll4ApgV/6F9eN8VfaJP7osaTCUBJYc8HEATgBTXx3/V7EAAAeygIwMajVfCdSqPUTTVfvPX7x3nHny+oy+QF1+wr9fu4YQcCUFrYdwLXB2DYhhxHEgAA0fEDsHm4NK3QLqOkDk94l7vO8ApwyJ+9pXV7S8sbdiAApe12AIbnrh1CAABEJxOAfxwrXVZwFy8AN2YWnvMC8Exm6dvS4oYdCEBpBABAxUkH4MOR0jcL7zIqe3xfJx3qr/q5dFfDDgSgNAIAoOJ4AZiRfifX5MK7jFIPf2GLNM5feogAhEQAAFQcLwBtVVOrVi8U3GWUevsLXgCCAx8BCHuTsAHoq2NP9AxX1xNzdNGI+uX9dG3YQQBALi8AqllwvTS04AcLEICmYghA56av/8xjUthBAECut9PH/9SOwdIPC+1CAJqK4XwAg/WzJzw/0sAncgzQ7fXLZ/AQEIA94wVginfxjNTlrwV2IQBNxXA+AJ4DAFB22XcCT5DGF9iFADQV32cBEQAA5ZMNwLqe0qP5dyEATREAAElQ/2FwP5P65//AMgLQFAEAkAT1AagbKX0r7y4EoKk4A9BnVo69CQCA6DScD+D1Nqr9Y75dCEBT8QXgf5q+9PP/1e9BAADsoZwTwsyUjs+3CwFoKr7zAaTuv6GRXzXsQQAAJE8iAxD2fABH6n9K7DFZ88MOAgAqXCIDEPadwDee9lGJPR7/7FthBwEAFY4AAIBRBAAA4ndy808cuy72QRAAAIjfzRc28+vYB0EAAMAoAgAARhEAADAqkQEIez4AALAokQEIez4AALAokQEAAJRGAADAKAIAAEYRAAAwigAAgFHJDEDI8wEAgEWJDEDY8wEAgEWJDADvBAaA0ggAABhFAADAKAIAAEYRAAAwigAAgFEEAACMSmQAOB8AAJSWyABwPgAAKC2RAQAAlEYAAMAoAgAARhEAADCKAACAUckMAOcDAICSEhkAzgcAAKUlMgC8ExgASiMAAGAUAQAAowgAABhFAADAKAIAAEYRAAAwKpEB4HwAAFBaIgPA+QAAoLREBgAAUBoBAACjCAAAGEUAAMAoAgAARiUzAJwPAABKSmQAOB8AAJSWyADwTmAAKI0AAIBRBAAAjCIAAGAUAQAAowgAABhVDQH40oaQrtMFf7HjT++4HkGc/uh6AHEyNdl3TP0erwh7UCuTL1VBAAAAZVHpAXj7wB5htZNq7GCyiWVqtsYm2yH0Ya08Dnw74gN21AHYDaaeA/hf7e16CDH6Zz3megjxuVtfdz2E+OxSK9dDiNFXdJ/rIZQLAYgXAUgsApBYBKCcCEBiEYCkIgAJQQDiRQASiwAkFgEoJwKQWAQgqQhAQhCAeBGAxCIAiUUAyokAJBYBSCoCkBAEIF4EILEIQGIRgHIiAIlFAJKKACQEAYgXAUgsApBYBKCcCEBiEYCkIgAJQQDiRQASiwAkFgEoJwKQWAQgqQhAQhCAeBGAxCIAiUUAyokAJBYBSCoCkBAEIF4EILEIQGIRgHIiAIlFAJKKACQEAYgXAUgsApBYBKCcHq6Z73oI8fl475GuhxCjybVRn8Gugv2u1bWuhxCjAYe6HkGMrmn1B9dDKJcKCEDq764HEKd/fOR6BDHatd71COJk6vd4y1bXI4hTcu/aSggAAMABAgAARhEAADCKAACAUQQAAIwiAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAKC0Ne/ucj2E6MUXgBXTB3bsPfq27S3aVGTnqhBqsk9847CuPY7912djG13UQjo2S5EAABtFSURBVM0249VaPRnHyMog1GR3PXDGQR2OPPcPsY0uYqEm++yEEV0POHnOB7GNLmrFjzo7u2tti3euGrEFYEEHZRz+lxZsKrJzVQgz2Y3jFPja+nhHGZVQd23GtkGq1gCEmuyqz/traiZV59+OYSa74dzg17jXHfEOMjIljjpLlBuAaj9EZcUVgPtqpM/NmLSv1H9jyU1Fdq4KYSa780Tv+HDCrMtGe79MY+riH+ueC3XX+iarWgMQarLrBkh9L7pijLfhO7GPNAKhJnu61ObU6RcM9n6dl8Y+0iiUOOpsGZwbgGo/RNWLKQAbeqv1Yu9y21jpslKbiuxcFUJNdoFUm/kH84T3y/SjmEcahVCz9S1VtQYg3GS9pUk7vMvnOqvVazGPNAKhJvsTacAfvctdP5D22hT3UCNQ4qjz2/RfaGtbuHMViSkA10ozMgub9lWbtSU2Fdm5KoSa7BHSL/1tj9Wo5ycxDjMioWab8fd91LpKAxBqsk9JJ/n/p7tdujrOYUYj1GSHSs/4286WlsU4yqgUO+rcelrfzOM9a1uyc3WJKQCHq80af+nb0vwSm4rsXBXCTPZP0qezG4+RXoxrjNEJdddmnKZ+51dpAEJNdpz0ir/mwyFHfDm2MUYm1GTbqVPwPMcd0ndjG2N0ih11jg+e3ljbkp2rSzwBeE8aGSy+Ko0tvqnIzlUh1GQfli7Jbp0oPRTTGKMTarYZ81Xz+IzqDECoyW7rqEGxji5ioSZb11bdgzWLpWlxjTE6RY86C2Z7Dm4IQLUfonLEE4Cl0uXB4icddFDxTUV2rgqhJruoffubslu/Jv0+pjFGJ9Rs097uqEtTVRqAUJN9TpoU6+giFu6eHSy94a+ZXJV/E5c+6pzcEIBqP0TliCcA83Ke3zxMNVuLbiqyc1UINdkcO/ZTTfW9EDTsbHcM08Bt1RqAUJP1Hwp5eeGNC1+PdZBRCXfP/lQaviF9fVlr9arCF8aUPurkBKDaD1E54gnA7PpnOjOPp60quqnIzlUh1GRzXC+dXf7RRS3sbGep7cupag1AqMnOkX72u8Mzjx0f+1asw4xGyHt2mtTrsvk3nC71eD7GUUal9FEnJwDVfojKEU8ApuS8MOBU6a2im4rsXBVCTbbBj2vUrgpfKxhytk+30nWpqg1AqMl6R8TJbYNnD9vfFes4IxH293hhMNdBq+MbY3RKH3VyAlDth6gc8QTgfOmp7PJZ0ktFNxXZuSqEmmzWCu/3qNV/xjK+aIWb7cYDdGz6pa5VGoBQk52Y+dv/16vX/9a7bzuuiHWgUQj5e7zswOw72r9afQ9ktuSokxOAaj9E5YgnAJOlx7LLY6XXi24qsnNVCDVZ35Y57aSev4ppgJEKN9tz1emd9NUqDUCoyV7gHQsv8l8aeZl0UnyjjEi4e3Zxa7Wf89Lm95eOkj5dhQUofdTJCUC1H6JyxBOAK6UHs8v/JK0suqnIzlUh1GQzHtjfO1ac+bd4hhexULO9R1qQuVqlAQg12anS/lv8FR/uW4UPFIea7Pu16hAcB73afSmmIUao9FEnJwDVfojKEdurgH6SXR4kbS66qcjOVSHUZD2bv+Qd/oc9lapOYWa7uWv2NdNVGoBQd+2/SRdk14yvwrd4hJqsd4d+L1ixvb9arYxpjNEpfdRp/Cqgqj5E5YgnAI9Is4LFuk7qW3xTkZ2rQqjJplIbj5R63lWVHwOXFma2q9XYhHiHuudC3bULpHnZrVdJd8YzxOiEmuyJOe9i/4b0cExjjE7po05OAKr9EJUjngCslE4IFt+UxhTfVGTnqhBqsqmPRnsL1fnoT0aY2VZ9AELdtc/mvCP2opzHDKpFqMkeLb2b3TpLWhTTGKNT+qiTE4BqP0TliOmzgAaqffDmkJukW0psKrJzVQg12ZnSV3bGOryIhZjt5tlZw6VzZs+uvlc9hblrt3fXsdmNQ6V34hpjZMJM9qycv/q9I+XTcY0xOiWPOjkBqPpDVIOYAnC1dGNmYcehavN+iU1Fdq4KYSa7tYcGbIt7gJEKdddmVelzAOEme4F0v7/tfmlojKOMSJjJLpBGBx8G90pbdavC82SVPOrkBqDaD1ENYgrA+i7q/LJ3WTdVmphZs+Ghhx76KP+m5muqS5jJ3pnzQHF1CnXXZlVrAEJN9r326p4pwIM91aoK3x0bZrLbh0hfz5wM8pmDpdsdjXhPFJmtLzcA1X6IahDXGcG8A13HqXffOlI6eF1mxfOSVufflGdNdQkx2W9KRx7f4M/uBr3bQt21gWoNQLjJzve2HTX5kuHKfnp8lQkz2bc6Sj3PnDXxOG+Xcc5GvCeKzDYjNwBVf4iqF9s5gee18Z/4Gxi8bzrnp9t0U7411aXlkx3T+GnR5Y4GvEdC3bW+qg1AuMneEHwUROf51fkqrzCTfXVk8Dvc7qoq/XC0IrNNaxSAqj9EZcUWgNTyiQPa9xpxc/aXI/en22RT3jXVpcWTPSQBAQh312ZUbwDCTfaNqYd17jxo6sqYxxiZMJOtu/f0vrVdB0+uvme7s4rMNtU0AFV/iArEFwAAQEUhAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEZFHYB/zJwIACiDOf+I+IAddQAWCwBQFosjPmBHHYB7NOKnIY3XiWFvAgDV7USND3uTEbon4gN29AE4L+xNbtL0iAcBABVuum4Ke5PzCAAAJAAB8BEAAOYQAB8BAGAOAfARAADmEADfQs2NeBAAUOHmamHYmyQyADuWbI14EABQ4bYu2RH2JokMAACgNAIAAEYRAAAwigAAgFEEAACMSmQA/jr17YgHAQAV7u2pfw17k0QG4BbNjHgQAFDhZuqWsDdJZAB4JzAAc3gnsI8AADCHAPgIAABzCICPAAAwhwD4CAAAcwiAjwAAMIcA+AgAAHMIgI/zAQAwh/MB+DgfAABzOB8AAKClCAAAGEUAAMAoAgAARhEAADAqkQHgfAAAzOF8AD7OBwDAHM4H4OOdwADM4Z3APgIAwBwC4CMAAMwhAD4CAMAcAuAjAADMIQA+AgDAHALgIwAAzCEAPs4HAMAczgfg43wAAMzhfAAAgJYiAABgFAEAAKMIAAAYRQAAwKhEBoDzAQAwh/MB+DgfAABzOB+Aj3cCAzCHdwL7CAAAcwiAjwAAMIcA+AgAAHMIgM9WANa8u8v1EAC4RwB8hQKw62fDOu/94h6PqLLs7K61rscAwD0C4CsUgLnyPL3HI2qRNy+++A/hN+2GJSIAAAhAVoHzAexsp46X3xPT0fI30l3hN4W3ZTABAJDifABZBc4H8LY0cc/H00IxBeC3o0UAAKQ4H0AJy6UbIvpSpcURgFtP65t+UIsAxGHjhMfi/pafXHZH3N8SxhCABju31LXgq2xdX3jTRw3L0QZg3fZ8a4+XCEBcluisuL/lX3Ro3N8SxtgJwA+Do2W+J4G9Q/LyDRd0U+u+p9xbH4FN3z+pT23vIeMfD64frXNSW+ccWPNk+srvJx7Sqdfw6SuDbaN0Wuql0a3V8TMXZlZNC77Zu82/V6NNn9xzxn61PYdeubL5fjlfef5+Us9R93rXlp2+T7tDx/9PsG3BbM/BBCAWD+lfwt5k3S/vz7VkS8jbv6NPhf2WQCgEIM0LwLIDg+2fXeevW9YjWKET/D+/vQBs/bx31QvAxxOCTa2v8Xf2DtOPtvNX1T6QanEAVn4muNLuB4WG7X3l7C0ur5viL7RZkrPDyQQgFrsRgNPUWNh3pxAAlJudAKxb/gvp0uXL8/0Z5gXA+yP7U1+fNKSVNOST9Kp3vON5/4vnXnFKG+mSzE5eACZowCXz1qRSZ0htx8yYOsr7R31RZtsoDempwVcsvNr7Mt29Hf66/Dbp2uXL8zwnk7Nps7d355Nmff1Q7+vcVmDYo9RNNV+89fvHeft8QV0mL7hmX6nfxw07EIB47EYARuqE8Q2O0YSQtycAKLdEBqDA+QAKPwfgBUCtMtuWdZfuTC94f+NPy7zD9rVu6pfZ6Wj10YzMo/yPSEe9mV54sp+0NL2QTsHk9H8UtgyV/xNtyXMA/+bV5i/eZd13W6nXpvw7e1+5wxPe5S4vOjrkz97Sur2l5Q07EIB47FYAnsu59h8EAOXF+QB8Bc4HUDwA1/iLv5MOSP99PVSdgydez5M+SF8eLR2XWbH9U+q52t/2VI2GpS+9w/Qx/pMHS6Urgi9ZKgDvt1f3jf6qGdLs/Dt7X/nGzMJz3hifySx9W1rcsAMBiAcBQKXjfAC+Au8ELhqAbsGhOHWq9KB38crzbwQrJgVHWC8Aj2ZWPKyGN5p9TjXp5wxGBf8TSKVWSVOCL1kqADc0fJ21HbR3/p1HZY/v65R9TcjPG31pAhAPAoBKxzuBfbsTgLOzy/dJV+Zs2rmsd0MA1mRWzcx5JnmalH55uHeY/l9/xfqWB+BM6bXsui9If8m78yj18Be2SOP8pYcIgAMEAJWOAPh2JwD1B/3npXMzCx8/dcuUsUfU1r/Q/mi18x/l+XLj13akX545Sp2Dm4cIwDHSP7LrLpR+l3fnUertL3gBCH4QBMCFh3TiipCG6T9zrt2os0Pe/ikCgDAIgG93AnBzdnmNdIp3sf26bv4LPY8bVh8A/8ng9CE3V/rdmvWH6TABGKhO9eu+Lf06784EoELcKgc6lR4XkEUAfLsTgFnZ5VekL6ZSdelXep7x70ve/Dj9KE8QgP38PcZLjy1vkH5n8G4FwPsfwIfZdZMKfUwpAagQd6hT/5Daq2/Otb3UJeTt988+/Ae0BAHw7U4AvphdXixdmvmQ5SNX+SuaBcBb0fSkArsVAK8xr2fXnSj9Ke/OBKBC8BwAKh0B8O1OAHpsDpbHST9PpS6Xsh8BMaFpAH4hfa/+W02ZkX5iYLcCcL10XfZWndUz/wcREYAKQQBQ6QiAr8D5AIq/D+A7/uIL0l5eCyZKr/gr1vVrGoAtfbR38L+Dl2t0TvpytwKwsl19dq6ULs+/MwGoEAQAlY7zAfgKnA+geABaZz6O5/Fe0o+9y/nBcTz1whBv24r0Un0AUndK+2UevHmtb+ajgQoE4PYCw6vfNFM66j3vsu57rdRrY/6dCUCFIACodJwPoKiiAdhfGnThlGNaSYenf4irekgn/HDR3NNrdJg07tGPcgOwa4TU7sxrvjXW2/uqzJrmAXhG+syihZubf6+cTZv6SF3HzrlwsNeYnxYYNAGoEAQACUQA0rwAzP9m8Mq7Ef7h9KEO/tXud7+YvlidG4DUpjHBzrUz/UfumwdgY+ZVpHk+DTR304ojgq/T/tZCgyYAFWK3AtClR4NOBAAVhwCkZR6UefLsPrX7jFm0K1i36uJhXboNm7s+lbqxT9tD1jUKQCr16FcP6rD3qCkrg6vNA5D6r892qT1oTd5v17Dpk7tP71fbfcis9woOmgBUiN0IwEVNXtU/L+TtCQDKzVIACivygD2QsRsBqNvQSIHPey2MAKDcCEAaAUApv9GX4/6Wq3RE3N8SxiQyAAXOB1AYAUApn/zkz7F/z5+/EPu3RBXjfAC+AucDKIwAAKh2nA/AV+CdwL4mH+WWdl3ZApDvm0WzMwA0wjuBfUUDcPOFzfy6bAHI982i2RkAGiEAvqIByGfD00/nf8EmAFQJAuALHQAAqHYEwEcAAJhDAHwEAIA5BMBHAACYQwB8Bc4HAADJxfkAfAXOBwAAycX5AAAALUUAAMAoAgAARhEAADCKAACAUYkMQOjzAQBAteN8AL7Q5wMAgGrH+QB8vBMYgDm8E9hHAACYQwB8BACAOQTARwAAmEMAfAQAgDkEwEcAAJhDAHwEAIA5BMDH+QAAmMP5AHycDwCAOZwPAADQUgQAAIwiAABgFAEAAKMIAAAYlcgAcD4AAOZwPgAf5wMAYA7nA/DxTmAA5vBOYB8BAGAOAfARAADmEAAfAQBgDgHwEQAA5hAAHwEAYA4B8BEAAOYQAB/nAwBgDucD8HE+AADmcD4AAEBLEQAAMIoAAIBRBAAAjCIAAGBUIgPA+QAAmMP5AHycDwCAOZwPwMc7gQGYwzuBfQQAgDkEwEcAAJhDAHwEAIA5BMBHAACYQwB8BACAOQkNwIHjQzpUnfYzrFdX1yNwqV+XvVwPwaW9uvRzPQSXuvZyPQKXOunQsMfKAys+AI8IAFAWj0R8wI46AHVL7w/rPB11uWHddL7rITh0pg52PQSXDtaZrofg0Pnq5noILh2l80IfLJfWRXzAjjoAu8H4cwD9tcL1EBxaqlNdD8GlU7XU9RAcWqH+rofg0m48BxA9AuAaATCMABhGAHwEwPUQHCIArofgEAFwPQQC4B4BMIwAGEYAfATA9RAcIgCuh+AQAXA9BALgHgEwjAAYRgB8BMD1EBwiAK6H4BABcD0EAuAeATCMABhGAHwEwPUQHCIArofgEAFwPQQC4B4BMIwAGEYAfATA9RAcIgCuh+AQAXA9BALgHgEwjAAYRgB8BMD1EBwiAK6H4BABcD0EAuAeATCMABhGAHwEwPUQHCIArofgEAFwPQQC4B4BMIwAGEYAfATA9RAcIgCuh+AQAXA9hIoIwI80y/UQXDpMq1wPwaEn9C+uh+DSv+gJ10NwaJUOcz0El2bpR66HUBEB+GDu+66H4NLj812PwKUd1/+36yG49N/X73A9BJfmP+56BC69P/cD10OoiAAAAFwgAABgFAEAAKMIAAAYRQAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEYRAAAwigAAgFEEAACMIgAAYBQBAACjCAAAGEUAAMAoAgAARhEAADCKAACAUQQAAOKx5t1drofQmIMArJg+sGPv0bdtD7cpMYrM8YlvHNa1x7H/+mzsY4pPqXv41Vo9Ged4YlZk+rseOOOgDkee+4fYxxSfIrN/dsKIrgecPOeD2McUr53dtTbfencHvvgDsKCDMg7/S5hNiVF4jhvHKfC19S5GFodS9/C2QUpyAIpMf9Xn/U01kyrsT8ToFJ79hnOD3/xed7gYWHyWKG8AHB74Yg/AfTXS52ZM2lfqv7HlmxKj8Bx3nuj96z9h1mWjvV+EMXVuRlduJe/hyUpyAIpMf90Aqe9FV4zx9viOk7GVX5HZny61OXX6BYO9fwFLnYwtJlsG5w2AywNf3AHY0FutF3uX28ZKl7V4U2IUmeMCqTbz2/+E94vwIwdjK7+S9/BSJTkAxabvrZq0w7t8rrNaveZgbOVXZPY/kQb80bvc9QNpr00uBheP36b/uGseAKcHvrgDcK00I7OwaV+1WdvSTYlRZI5HSL/0lx6rUc9P4h5ZHErdw3/fR60THIAi039KOsn/X9/t0tWxjywORWY/VHrGXzpbWhb3wGJy62l9Mw/zNP+9d3rgizsAh6vNGn/p29L8lm5KjMJz/JP06ezyMdKL8Y4rHqXu4dPU7/wEB6DI9MdJr/hLHw454ssxjyseRWbfTp2CJz7ukL4b87jicnzwNEfzI7zTA1/MAXhPGhksviqNbeGmxCgyx4elS7LLE6WHYh1XPErdw/NV8/iM5AagyPS3ddQgByOKU5HZ17VV92BxsTQt3nHFZsFsz8F5AuD2wBdzAJZKlweLn3TQQS3clBhF5rioffubsstfk34f67jiUeIefrujLk0lOABFpv+cNMnBiOJU7M4fLL3hL01O7P/9fSfnCYDbA1/MAZiX8/zmYarZ2rJNidGyOe7YTzVJfCFo8dnvGKaB25IcgCLT9x/5eHnhjQtfdzCwWBS7838qDd+QXljWWr0S+wLAtHwBcHvgizkAs+uf6cw8KLaqZZsSo2VzvF46O64Rxan47Gep7cupJAegyPTnSD/73eGZh4iPfcvB0GJQ9M6fJvW6bP4Np0s9no99ZHHKFwC3B76YAzAl51n+U6W3WrYpMVo0xx/XqF0iXwlYdPZPt9J1qUQHoMj0vQPg5LbBk4Tt73IwtvIr/qu/MJj8oNVxjyte+QLg9sAXcwDOl57KLp8lvdSyTYnRgjmu8H4HWv1njGOKT7HZbzxAx6Zf+prgABSZ/sTM3/6/Xr3+t96933GFg8GVXdFf/WUHZt8E/9UkPvbZIF8A3B74Yg7AZOmx7PJY6fWWbUqMknPcMqed1PNXsQ4qNsVmf646vZO+THAAikz/Au/Qd5H/SsjLpJPiHlkcit35i1ur/ZyXNr+/dJT06UQXIF8A3B74Yg7AldKD2eV/kla2bFNilJrjA/t7R4Iz/xbrmOJTZPb3SAsyCwkOQJHpT5X23+IvfrhvMp//KjL792vVITjsefn7Urzjile+ALg98MX/KqCfZJcHSZtbtikxis9x85e8w/+wp5reKDEKz35z1+zrnxMcgCJ3/r9JF2SXxyfzTSBFZu/d598LFrf3V6uVsY4rXgVeBeTwwBdzAB6RZgWLdZ3Ut4WbEqPoHDceKfW8K6EfA5dWePar1dgEF8MrtyJ3/gJpXnb5KunOOIcVkyKzPzHnje/fkB6OdVzxyhcAtwe+mAOwUjohWHxTGtPCTYlRbI4fjfbWJPXRn4zCszcRgCJ3/rM5b4C9KOcRgQQpMvujpXezy7OkRbGOK175AuD2wBf3ZwENVPvgnR43Sbe0dFNiFJnjTOkrOx0MKUYFZ795dtZw6ZzZs5P5KqjCd/727jo2uzxUeifeccWj8OzPyvmr3ztCPh3vuGKVLwBuD3xxB+Bq6cbMwo5D1eb9lm5KjMJz3NpDA7Y5GVN8WnAPJ/g5gGLTv0C631+6Xxoa98BiUXj2C6TRwYfBvdJW3ZJ8PsC8AXB64Is7AOu7qPPL3mXdVGliZs2Ghx566KP8m5Kn8PTvzHkYOKmK3PlZSQ5Akem/117dMwV4sKdaJfPNsIVnv32I9PXMySCfOVi63eEYyy43AJVx4Iv9jGDega7j1LtvHSkdvC6z4nlJq/NvSqCC0/+mdOTxDf7sdphlUuTODyQ5AMWmP99bOmryJcOV/Wz45Ck8+7c6Sj3PnDXxOG/FOKdjLLfcAFTGgS/+cwLPa+M/0TcweM9zzjGg6aYkKjT9MY2fBl3udJBlU+TO9yU6AMWmf0PwURCd5yf2dWCFZ//qyODXvt1VifwQyHr5A+DywBd/AFLLJw5o32vEzdl7OvcY0GRTIhWY/iEmAlDszs9IdgCKTf+NqYd17jxo6kpHI4tD4dnX3Xt639qugycn8unvHAUC4PDA5yAAAIBKQAAAwCgCAABGEQAAMIoAAIBRBAAAjCIAAGAUAQAAowgAABhFAADAKAIAAEYRAAAw6v8D9326WQ+aolwAAAAASUVORK5CYII=" width="768" /></p>
+<pre><code>## Warning: In subset.data.frame(fit$fixed, type = &quot;state&quot;) :
+## extra argument &#39;type&#39; will be disregarded</code></pre>
+<p><img 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6QnItc/lH5qa/8ufe3R9gDY2H1U2uhevbHltd+a2b1B67xnPF6Q/hP82dd6z3gkd32qmTrn4vC4NNG73CGNCfja16WXIteJ0tWm9pcq9OKoSABs7F6Sr3qDj/f0ndrtXa6SlgZ/dlGuY35HAKLn2jrn4jBd+ph3OWuSZgd87bMFBYMj169IFyztH5Kvvye0B8DG7jPSYouP90bprHtV5b67a2H2VR0BiJ5r65yLw3jvudA2mxXKMDM8Z4BCaYb255RrwpKOANjY7X4AZOqiexfdaerx/nGpaUHbRU2e6rKNzPYFIHqu2XOuO7ntz4qGP5J2o5nhv5QesrQ/RTunJnQEwMbuVuk3v5ob/vDwoTmWHu9LpbrlpSNOSHumWZntC0D0XLPnXHc+5X2WQJubpTlWdv8+pA33G9p/sFDfT/AFwMZu5xys2uk9QVgwztLjfZG3un6ZmdvtC0D0XKvnXLceldZEru+SttlYPdB5DBS+a2h/9ss6NMsfABu7E8Pv+39nWdo7zg3PH2jnftccj3zB+1/SrNxuXwCi59o853qgSloRuR4j3Wlh84zWDVLDvy3tP6115xL8AbCxu9k5Ac+7nxC5XDppZveqPBW0bqvYNH2Y9ESakdm+AETPtXjO9ch10u2R629IWQYmP/OWcyw89Z6l/f2kooROAbCxO1N6a4Z7+cbk8Ed+TezeVK1J3hHndO99I7fbF4DouQbPuZ4ZL22PXNdLFYEfXPG+c/yXrzG1v+JY5DOf/Z8FZOC+/0tqjlxfEf66DxO7nbv8Z++yZJAKs2zM7vxZQB+Ya+6c66kvSineZfo61QZ+b/YpqWFcuq39y9TZw1bue5E0PnL9qnSbkd1Pul/kHvam9LqN2b4ARM+1ds71WJZ0n3d5t7Qw6HMfq3RGvmdtf4wA2LjvLe7XwYadD38QwMTukdKByHWK9KyN2b4ARM81ds7FYYIKvO+OOli6Juhrb5D+utfc/orciCZpf27uu1bue8luHYpc75POGdl9V/i9/vZj8aCN2b4AxJhr65yLwx3SveGLnC8odVPAx2bs0eolhvd3PAdgZHez1N+96i/ts7K7SKr0vhncxp1aW2Jjtj8A0XNtvZ3HIe0zKpvq/JieKSUGfextvo8JW9zvC4CN3Y8XaHe4ALc3qHCald0lW6Rvhl8M8rn50j1GZvsDED3X1tt5nIdifuanH5gozZ8Z9K3flU5d2+FP1vb7AmBkd6mkz1e91KTIt4M3sXtOvtTwVEriz53ZR63M9gcgxlxTb+dxGZ/qPjU4IfhfH72w85Oho63t9wfAyO4R3reCKCtNN7R7x0TvIb7h1QwrszsFIMZcS2/n8RmduLqg7vpbDXyHvJWxAmBof6cAGNl9NnNzWVl9Zpatx3v68ydqq481Vp2zM7tzAGLMNfR2DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAODSmDIQAPARmNLbz/+WkAAAH4FQSy8PQD+VDQIAXHRl6tfrA3AlHwYDgIvvyiAG4JbMIdxZALAYgGt0A3cWACwGYLCSuLMAQAAAAAQAAEAAAIAAEAAAIAAEAAAIAAEAAALQ9wKwSEO5swBgMQA58zK4swBgMQAAAAIAACAAAAACAAAgAABAAAIUAF4PAACMBoDXAwAAowHgK4EBgAAAAAgAAIAAAAAIAAAQAAIAAASAAAAAAeiTAeD1AADAaAB4PQAAMBoAAAABAAAQAAAAAQAAEAAAIAABCgCvBwAARgPA6wEAgNEA8JXAAEAAAAAEAABAAAAABAAACAABAAACQAAAgAD0yQDwegAAYDQAvB4AABgNAACAAAAACAAAgAAAAAgAABCAAAWA1wMAAKMB4PUAAMBoAPhKYAAgAAAAAgAAIAAAAAIAAASAAAAAASAAAEAA+mQAeD0AADAaAF4PAACMBgAAQAAAAAQAAEAAAAAEAAAIQIACEPv1AIaod3926ACNjPnrvf3PDYAA9KIAxH49gMtykN595MjbBAAAAbhUAYj9lcCX5SD9pDSOAAAgAATgw/QfN48AACAAFgPQFQIAgABcogDsnZHeg/8rI63r//TY/x8A3+9BABBA3ys/wl/CRXb1gAsEoPsAHN4iXdfFu+ujFzSvVV7tz55vj8D63538dvXwLVe86P18pPYnZLQeD41t+8mFxJXr6pqSsrz/Nky7ErZV5in/658I/9JSuQ7E/nMe3F++dnhT8xz3Z591nwP44O/Rgz830OfcpPn8JVxkSdpKALoNwIJyaVRCFwGoOe6d2X+Y6f5azR7vF/Rf9u4+tqrygOP4k4r5ATMTaAe90Baok/CyDZyVtittDThbYAUEC6ETBmI1MBmglVclZLTZUrWBBBvSRgdVQam8VF62+MKLohim070pzr05p3v7Yy8umVu2ZOfcc27bW86597Yro6fn+/nnnnPu28nNzfO9b+c+G0tjARj9sbVqBaC13j1rUlt7AJo3OJsqn04WgIJfx669rUsA4m4jhf0GCECveHvi0DibAhaAqwhAsgCMHyG/6QKsAAyQ5j9SVVck1RXbm96xxuJBh4YdPzNSOhcLQL3WnBuXZ8xJaee87GvSrbH6XTcAdQ3ae3zhMutmGq0LLM55SNqWkzPB486yjkjfe3NZ9lYpUhYXgPjbSGG/AQLQK9IU7zkCEMAAeM8H4AykM49J1cY3ACoaHn3d3ygttRes1/jVJfbCphrVugFoUvYOe2mddMdKeyG3Vsp3Bm9pgf1GoaBFzgPr/x3ACql8vL0wTRoTF4Aut5F8vwEC0Cse1ZvDO7yvWwlAAAPgPR9AdCB9/Rnp6yZBANwPc34mvdZqnbZoRmnskdJBJwA6G91QOl8Ndzrn3RNRuTt4H3W+PMiXjicOwCrpZmfptRlr4gMQfxvJ9xsgAL0UgK91WssnAIEMgDd7IP3VZOkJkyAANePd5VsVfSpsnvq2u6FKutoNQHN0w087/TpnqyKFzuCd72yokDKTBmBZ3IaOAMTfRvL9BggAASAAyQKQPcv+fCVRALbHlrfE/+Jmz6KMjgDkRTfNlvbHzq6W7nYG74edDaOSBmBTkYoGHyjxCkD8bSTfb4AAEAACkCwAOxWpVNGBBAFoH/SnSj+MLrTe8/nMMT+utL8RcgOwwfmE5jfxXxedig7eM0yqATCHI9a1auY98JOSLgHochvJ9xsgAASAACQLgCLTfiS1FPsH4LbYcp50xjopPVzj/FTzbHl7AJwvg83Y+AC8FB28M1IPgJl6xvm555KPSuMCkHFRAJLsNxDAACy5ou85qtmd1j5RyxVBskvjCECiAESmmQl7pef9AzA0trxZumBMlv1Lz5Mfla1stT/lcQMwwLlEmnR3TodR3Q6AMQXrsifbEZhVnDgASfYbCJx/Cb3vSQJgEswHYI+nL0hzFvsG4EJs+RvS340pk35Q4Wy4KADWhtNdbqC7AYhGYEut8/YhQQCS7DcQOAN1X1rfU6vJndbS1ZQWJGv1AAEwyeYDqJfSfAOwe6a7fET6pTFXSrG/gKjvGoA/Sn+OXfOqzOysbgbg28Njh23nSlWJA5Bkv4EAfgTEdwC9je8A3OE44V9BFDbEfsjpEQD9yVk8ID1rtWCwtNnZUFjbNQAFTVrivju4IeK89+pOAM5LtzhL70kTUwiA/34DBIAAEICUAmB+IQ36ql8AJkVfl79yu/Rb63S6O46bA3XWeQPjAmCWSgNW2Aublkf/GsgnAKu8d/ITaUz0H0XXb5UeTyEA/vsNEAACQABSC0DWZOlVnwD8TrprSObRIunL9h/4VOyWNj5/YtjLEX1TOtK8o3MASm6SNjza9uoY69JvGe8AvCA9eGLhTI87y1si1fz1rba/zZDGFqcSAN/9BggAASAAqQXArBipyp97B2D6E+7X6TdFP+8xn5virDbefNo+ubNzAMz6ee6FK2dn+QRgfI3vv4H+IyP21f3Y100qAfDdb4AA9FIAVg3s8BIB6JcBsA/ivd47AKtM7vamyjfmnYgdoltxqHxOTfmwUcbc27RzdWFcAIxp/suNU5akZ3bMB9A1AObfH86pvDHPczcL7j2/dsp1Z98/7awmD4DffgMEoJcCEI8A9J8AJOf/gT2AEATg1OpBnd11baAeUwJAAAACEFIEwLGwh5PoEgDg/2TuF5/hQehl39EWAmD85gMgAEDfse8gj0Ev27MiiwCkaOzF/6Nx+JIFwOvOeLoCuMxCG4Dbhlzk8UsWAK8747kHgABcngB4mbt/fx5PCQAEIIQBAAACQAAAgAAEMQDe8wEAAPp9ALznAwAA9PsA9PRIYAAgAAQAAAgAAQAAAkAAAIAAEAAAIAAEAAAIAAEAAAJwWQPQ0/kAAIAABDwAPZ0PAAAIQMADAAAgAAAAAgAAIAAAAAIAAASgHwWA+QAAIKQBYD4AAAhpADgSGAAIAACAAAAACAAAgAAAAAEgAABAAAgAABCAQAaA+QAAIKQBYD4AAAhpAAAABAAAQAAAAAQAAEAAAIAA9KMAMB8AAIQ0AMwHAAAhDQBHAgMAAQAAEAAAAAEAABAAACAABAAACAABAAACEMgAMB8AAIQ0AMwHAAAhDQAAgAAAAAgAAIAAAAAIAAAQgH4UAOYDAICQBoD5AAAgpAHgSGAAIAAAAAIAACAAAAACAAAEgAAAAAEgAABAAAIZAOYDAICQBoD5AAAgpAEAABAAAAABAAAQAAAAAQAAAtCPAsB8AAAQ0gAwHwAAhDQAHAkMAAQAAEAAAAAEAABAAACAABAAACAABAAACEAgA8B8AAAQ0gAwHwAAhDQAAAACAAAgAAAAAgAAIAAAQAD6UQCYDwAAQhoA5gMAgJAGgCOBAYAAAAAIAACAAAAACAAAEAACAAAEgAAAAAEIZACYDwAAQhoA5gMAgJAGAABAAAAABAAAQAAAAAQAAAhAPwoA8wEAQEgDwHwAABDSAHAkMAAQgEDL21fCMxQAAfjfA/BpBewfIvY06mqeoQAIQEADsPLQod/39LplIgAACEBgA/AZ6doeXrVgLwEAQADCGIA/zBIBAEAAQheA+3ctlwgAAALQ3at4zweQagD2FGSlcKnRo/zP2tGNABSWem29XiIAwCWVO+efAd77tmcrCIA37/kA2gNwsE76ks/L9Zy5363RpOVnTrVHYP0H55sqM+rSXnHXR+hJM/r7L0Zy7ZX3Bq++7/Zjn/qse166dplvzZqkLzw4JLqp2h3H93ndm33h6QOkhvRT1tqil9/YsDbtP+550yZavkIAgEtnuIYGeO8fUy4B6I5YAOaWS9nGJwCLXnTH7A8LnW2LdrsbtLE0FoDRH1ur1qPfWu+eNamtfUxv3uBsqnw6hQDEzr8yK9NZGFnW6QJjCQAQrADcUDW4s6oDBKCPBWD8CPkdJ2YFwHpFPv+Rqroiqa7Y3vSONZ4POjTs+JmR0rlYAOq15ty4PGNOSjvnZV+Tbo3c77pjel2D9h5fuMy6mUbrAotzHpK25eRM8A5AjSIX7v/grHX1xzRnwbS266TaVgIABDYA2xXvOQLQtwIw85hUbXwDoKLh0df9jdJSe8F6jV8dPRx3U41q3QA0KXuHvbROumOlvZBbK+U7Y7q0wH6jUNAi54FN8B2AdeEpT1mnJVZHtPq/7N19kNR1HcDx3yD6SSZLheBODgJHJxQKHFE4OcDABDWQpNPxgcJIm1CJ5EbysSbBHBgZmXEcBrIRxDB8AEWtCcYniHEcNTNrnPKBymwqmx6mp2lqpt397T2ye7cnt3C7+3r9c9/93d7ddzj2+767/f32+15m1LggYqQAQMUG4Icx/6h2dTFKAPpVAF58KOKqpJsA5P+Y84uI57M/jG+KmdNb/6Xi4TQAsSd3YPoFsebK9H3X1sfs/Jq+I33yYFLEEz0HYFlu8Frmy+7KjW6OWCIAUMEBGNfh1n0C0L8C8Pb4iM1JNwFoGZMffzbi85k3N5z+8/yBS/LLcSYAG3IHftbhrKJbor4xXdMnpQfmRNT1HIB0fW+MWJoeeqvTvQUABEAAevshhfcDyARgRPbiqvndBeDW1vGNnc8UuveiIe0BmJg7dF7EltZ3XxFxdbqm35EeGF5KANalg8kR29PROAEAARCAAwpA4f0AMgFYG/XNMWVrNwFoW/RPj/hJbvDgtR+vG/XT5raz8ofF8vSvPL/u/GzP07k1fWbSiwAMaQvAEQIAAiAAfRGAolcCR33TqxGbphYPwGWt44kRz2beTN/Wkp7ouWd2WwBWtK3PHT3XcU0XAOjvtsW8o/ra6i5PAr98VLl8TAB6HYD6puSkjRE7iweg7UeCGyJeT5KG7JmeT70768sPZv/Kkw/AwPQeAyKuHtluuABAJdkele12AehlALJr8q6IuRcXDcDrreMlEX/PvSLzy/kLrvcLQObAM8XWdAGA/m5vrBzU186MfR1ujY7nB5XLiviIAPQyALmzdlZFDCgagHXntP908FaSHB7R+hIQq7oG4A8Rf277inUjGgQAKonnAGoyAI1rWk/kLBCA+GM63BrxWKYFgyJuSA80rugagMnrY0H+t4PT6uN+vwGAAAhAfw9A8mbEkZcWC8DY27KjH30h4p3M2xn5dTzZujLzvg90CkDyuYiBi7KD6y+P9JtRMACLBQAEQAD6SQAaxkfsLRKA30V86ei6HVMiPpV9AZ856yK+tvPJY3fXxzcjtm+4s2MApp0VsfyeR/eOytz7laRwAHZFrH7ywnMEAARAAA5KAHraD2DRcdH8RuEAzNicf4b9rHTtHTchvXn32c9k31zZMQDJdfPyd24+r6FIAMa0dPNqoAIA1RaAD57WbqcAHIoA9LAfQO4i3lMLB2Bxcvyt65tfmvfktPyxOY/Mntsy+9jhSbJs/dprGjsFIEk2/OXMCQsG153QdU1vC0Dy39/ObT5zogBALQTgni6nat4lAAc/AO9XN3+wBwSgR38a9sWOhi0RAAEAaiMAB48ACADwvt0YX6/g2f9z7BsCIADA+/SPhgqe/PQT+uKz1GwARu//0hrbyhaAQl/Mww84xGpoP4DOLjt6P/eVLQCFvpj/e4AA9H0ACu8H0OnqCgEAAA8BSURBVLPzt2yZ6L8EIAAVHIDCVwIDIAAACACAAAgAgAAIAIAACACAAAgAgAD08wAU3g8AgKoPQOH9AACo+gAAIAAACAAAAgCAAAAIQBUFoJT9AAAEwH4AAAJQLQFwJTCAAAAgAAAIAAACACAAAgAgAAIAIAAVGQD7AQDUaADsBwBQowEAQAAAEAAABAAAAQAQgCoKgP0AAGo0APYDAKjRALgSGEAAABAAAAQAAAEAEAABABAAAQAQgIoMgP0AAGo0APYDAKjRAAAgAAAIAAACAIAAAAhAFQXAfgAANRoA+wEA1GgAXAkMIAAACAAAAgCAAAAIgAAACIAAAAhARQbAfgAANRoA+wEA1GgAABAAAAQAAAEAQAAABKCKAmA/AIAaDYD9AABqNACuBAYQAAAEAAABAEAAAARAAAAEQAAABKAiA2A/AIAaDYD9AABqNAAACAAAAgCAAAAgAAACUEUBsB8AQI0GwH4AADUaAFcCAwgAAAIAgAAAIAAAAiAAAAIgAAACUJEBsB8AQI0GwH4AADUaAAAEAAABAEAAABAAAAGoogDYDwCgRgNgPwCAGg2AK4EBBAAAAQBAAAAQAAABEACAcpj43WkCIABAhflQHPiry997d3y49HsPjGFlm0lNBMB+AED/CcCsEICDGAD7AQD9JgCTNwrAwQwAQH8JwO/PjV4F4LATZwmAAAAVH4Cb7ro8oncBKOPvIgJwgB5+bNUBfoazmx/woIKqC0Dj9EJHT404oAB89E4B6EezGRmrD/AzHB63eVBBxQXg4ZURZxS8y+C4K5kxMGLN4Kczty7a/dLypQP+l39f08kZn+4hAFvun90y5PHvfzK9dUH6HED2s37r3LHxidVHn1DqTATgkATgnQGdPHKHAEB1BeD82REjkmIBuCL/g/7hDXXp4LiOf8cf3W0AJu/Lf/DYb3QJwIbl6Tuav1fiTAQgq4z7ARQOQP7b1KZJAKCqAjBmWBS9vGhwtET96zf9Zk/msf+dmDu/6dFTIlY8WGIAGrZH/ODHC0fcElE/q1MAVq6JjU9cuDDzu8XdE0ubiQBklXE/gMIBGBtLDmu3L2YIAFRTAM55POKKpGgAYkL2mb1pT2UKcM17mVHjgoiRJQZgUcTsMdlBU8SoTgGImJ99XmHypsgt0yXMRACyynglcLEATO1wa7MAQFUF4MWHIq5KugnAstzgtcyavSs3ujliSYkBWBxxdjp6fuZXOgdgR0Pu+KSIJ0qbiQAIANC3AXh7fMTmpLsApOt7Y8TS9NBbESeWHoCFnQ60B2BSemBORF1pMxEAAQD6NAAjsldyze8uAOvSweSI7eloXOkBuH5KTBm0dVqhAOTPJhneFoCeZiIAAgD0aQDWRn1zTNnaTQCGtAXgiF4HINlWn1nVW+bd/Nq0LgGYmXQNQE8zEYCyB2D90P1NiVc73Hoo7hla3OAY6kEFFRSAqG96NWLT1DIFIDn92fQ8wgXvTu8UgCH7BaCnmQhAmQNwURy4+z2ooIICUN+UnLQxYme5ApD5wK+OGJ+NwLlTuw9ATzMRgDIH4D+x4Jj91ccZHW5tin3HFLcj3vWgggoKQHb13RUx9+KyBSD3wTeuiHiu+wD0NBMByCrjfgCeA4BaC0BuOVkVMaAsAbh9aOuKcHzEJd0HoKeZCEBWGfcDEACoyQA0ronYUI4AvBDxmXT0y4iTSwhANzMRgDITAKjJACRvRhx5aRkC8O+IUcOzg+tuibivhAB0MxMBEACgDAFoGB+xtwwBmLggouWvrzz6t5kRo6eWEoDiMxGAQxSAqx9ot1sAoOoCkCw6Lprf6PsAJP8a0nqC4OgXk1ICUHwmAnBIArC2y4meiwUAqi0AyXkRp5YhAMnkZS8snXDKnl89k97sOQBFZyIAhyQAC7/dye7/t3fnMXKWdQDHB0r7AwSWEhLcdqFctttroQv0oAfSCtJylUDV0FKgIi3hLFgLCpZiPSBaimIpCLGEowolaDAcEqLBqBgoh4iEGo0aE48AxgOImhhntjMt2OYt77ID+zzz+fw1nedtk1/fd97v7Bz73i0AQP/negB9EYAyBAAQgOYFoInXA2jrWvQO/4UrY4zDDhCAJgWgid8Ertx31Dv9F1511AECkGIAgNZ1wNa/2+v+d++vC4AAAO+ZeXtu5Y53768LgAAACIAAAAiAAAAIgAAAtHAAmng9AAAB6M8BaOL1AAAEoD8HAAABAEAAABAAAAQAQAAyCkATrwcAIAD9OQBNvB4AgAD05wD4JjCAAAAgAAAIAAACACAAAgAgAAIAIABJBsD1AABaNACuBwDQogEAQAAAEAAABAAAAQAQgIwC4HoAAC0aANcDAGjRAPgmMIAAACAAAAgAAAIAIAACACAAAgAgAEkGwPUAAFo0AK4HANCiAQBAAAAQAAAEAAABABCAjALgegAALRoA1wMAaNEA+CYwgAAAIAAACAAAAgAgAAIAIAACACAASQbA9QAAWjQArgcA0KIBAEAAABAAAAQAAAEAEICMAuB6AAAtGgDXAwBo0QD4JjCAAAAgAAAIAAACACAAAgAgAP0sAI/tWNIlsWSn3K1Znf2I42bckv2Mn1yZ/YgbZpyd/25cuGOiHuv3AVgcADTF4n4egI4JA8oaFOcMzF17fCL3EfeJWbmPeHp0ZX+k3h6zcx/xmVgxIFUTOvJ7XasV3gOYHNNyH/HI+GbuI34lzsj+SP16HJv7iFfETd5NEAABEAABEAAEQAAEQAAEAAEQAAEQAAFAAARAAARAABAAARAAARAABEAABEAABAABEAABEAABQAAEQAAEQAAQAAEQAAEQAARAAARAAAQAARAAARAAAUAABEAABEAAEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEAABEICsLYvB2c/YfUNH7iP+JOblPmJnrMj+SH0ofpP7iEfHOc66/ch9ey3Pfsa/ZP+oqpy416TsZ/zIHdmP+NrVE3MfsePRdc66AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA77HD757mPwHI3s7vG9G196wvH/W2lgo2zmbGqrWroy3nEb/1u2seXrP+9Z/lO+LIR3d8vuvi087qzPxIrVSunRMH5jriwNhivFN1U0w5dNP/7zGnvI2lgo2zmbHmw5FaAMqM2PmdxoPqmaGZjnjP8/UJF8zP+0itzF0YaQWgzIg/EoBm+0x7xGf3PX1cxC6d210q2DibGWsm3p5aAMqMuPbWiPbLB58/q/qomt2R5YiT1kRseOiqPS+sTnppzkdqpXJqpBWAUiMujBn7NPzSyboJTt47Rl9Uex6xf8T521sq2DibGWv+XDs1tmW7G6dEzJnQ80JQ9aG2LMsRH4q4blWtdYMjnrg33yO1UpkQaQWg1IjTlsbnnKOb6uqIfXtufGpcDGnbzlLBxtnMWLnyxrN7fuJsy3Y3Ph/xsU1rF7THyqkZjjizPRau3XQKeSDi05keqTWPbIjRSQWg1IhfixjlHN1Ux8SQwzfduipi+naWCjbOZsbKYfWXHNty3Y2vRdzUWKyeHn+Y4YjjI/aqr50VMT/TI7XmxlhxfVIBKDXiGxGPO0c3UzWxh9RvXhuxf/FSwcbZzFipTBlVdUJaASg14gsRP22s7hoxJsMR50ccW79nXsRfMz1Sq6ZH+4/3TSkA5UbcPSKxD6qlZkLEwPrNqYfGB4uXCjbOZsa6A9IKQKkRH+zu3q2x+kzErzIc8cSNGxsfb7orYkC2R+oeXfHPSlIBKDfi8dWH4cR1U75w0eFO1c0x/E3vAl4T7cMKlwo2zmbGNAPQmxFrRu4U7UOzHvHAk2LvYbnuxpHHxYi5aQWg3IiL4tCxZ9Rej20fdJ+TdTOM2vx+YM+L3ycWLhVsnM2MaQagNyPW/DyS+ZRFL0bc+I1fXzckll6Q7W4cHDccUUkrAOVGfHrLtwA2rHO2boL3R3y0cfu0iKMLlwo2zmbGNAPQmxGr/tAeS6/Id8TVtRPHA+dluxvXTY77K4kFoNSIHV0RC5YtX3Xe/BURK55yuu5710ds/p7MoogvFi4VbJzNjGkGoDcjVnauPsomv5LxiD0BmLzolEx3Y+cTsX5qagEoNeK5Ebss7/lz5/o3fXKBvnNqxOafkPeP+HjhUsHG2cyYZgB6MeLEJ5dGrPxXziPeO+zmxV+NuOXmPGd8Lpa8WEktAKVGnDp06Kr6Hf+eHHMmOl/3uSMjzmzcrj5WDi5cKtg4mxnTDED5Eb/9x+qz49tezXnETe6M+H2WM+4QMaWSXAB6uxsrsyLecL7uc8MjvtS4vTBiZuFSwcbZzJhmAMqOOPNv1dP/cZdWMh6xYW53jF6b4YwzH258ij61TwH1ajdWXorYwfm6zy2OGFy/2bEkzi5eKtg4mxnTDEDJETufjlj5gY58j9R7xu+3efW4iLsznPHceKvr8n0w9ngy4gfO133u4IjL6zfPi5hdvFSwcTYzphmAciOuqv44PfvVnI/Ux2LJ5uv5rI94McMZEw1Aqd14xMZfbF59LrFfep2KEdFd/82ru0WM3c5SwcbZzJhkAMqNeHzE39dmfaT+NmKPxpPJk2L0sAxnnDmq4XsRd40a9UqGu7H6KLynvjbtwrjB50Cb4KyIy3pujLwkhizfzlLBxtnMmGYAyow4bE1cPDfvI/WyiJfqa7tH/CPnIzWx9wBKjfhoxPfra9OrT1qcrZtg6Ekx44jaE6WDInbtuefkMWPGrNr20tb35DdjmgEoM+L8iOGZH6mPdEX72J7fcz2g+gPAn3I+UlMLQJkRZ54RMbC21DFlRqxpq9AE1dNB10HHXnlIxAmTeu4YHxHnbntpG/fkN2OSASgz4p0RTx+2xcs57sXHq0uXDHr2+s/Hll8MneeRmloASo145pCIFa8/O2hEdZP/Olc3x/Ahm95FGlH/WvaW/bHV0rbuyW/GJANQYsTZb333cL8s9+LYpfXxVo+dmvWRmlwASo34wrj6bnz4QWfqZtlv14u7F3xoXuOdsjftj/9f2uY9+c2YZADe/ogXphqAUnvx5av2Gdc94rbvTsr8SE0vAKVGfGrZrSvmLFj/n6EVAAAAAAAAAAAAAAAAAAAAAACAd9P/AP8xei/une5PAAAAAElFTkSuQmCC" width="768" /></p>
<p>A comprehensive report of the results is obtained using the
<code>summary</code> method for <code>mkinfit</code> objects.</p>
<pre class="r"><code>summary(fit)</code></pre>
-<pre><code>## mkin version used for fitting: 1.2.4
-## R version used for fitting: 4.3.0
-## Date of fit: Thu May 18 11:39:03 2023
-## Date of summary: Thu May 18 11:39:03 2023
+<pre><code>## Warning: In subset.data.frame(fit$fixed, type = &quot;state&quot;) :
+## extra argument &#39;type&#39; will be disregarded</code></pre>
+<pre><code>## mkin version used for fitting: 0.9.49.8
+## R version used for fitting: 4.4.2
+## Date of fit: Sun Feb 16 14:25:34 2025
+## Date of summary: Sun Feb 16 14:25:35 2025
##
## Equations:
-## d_parent/dt = - k_parent * parent
-## d_m1/dt = + f_parent_to_m1 * k_parent * parent - k_m1 * m1
+## d_parent/dt = - k_parent_sink * parent - k_parent_m1 * parent
+## d_m1/dt = + k_parent_m1 * parent - k_m1_sink * m1
##
-## Model predictions using solution type analytical
+## Model predictions using solution type deSolve
##
-## Fitted using 401 model solutions performed in 0.053 s
+## Fitted using 389 model solutions performed in 0.398 s
##
## Error model: Constant variance
##
## Error model algorithm: OLS
##
## Starting values for parameters to be optimised:
-## value type
-## parent_0 100.7500 state
-## k_parent 0.1000 deparm
-## k_m1 0.1001 deparm
-## f_parent_to_m1 0.5000 deparm
+## value type
+## parent_0 100.7500 state
+## k_parent_sink 0.1000 deparm
+## k_parent_m1 0.1001 deparm
+## k_m1_sink 0.1002 deparm
##
## Starting values for the transformed parameters actually optimised:
-## value lower upper
-## parent_0 100.750000 -Inf Inf
-## log_k_parent -2.302585 -Inf Inf
-## log_k_m1 -2.301586 -Inf Inf
-## f_parent_qlogis 0.000000 -Inf Inf
+## value lower upper
+## parent_0 100.750000 -Inf Inf
+## log_k_parent_sink -2.302585 -Inf Inf
+## log_k_parent_m1 -2.301586 -Inf Inf
+## log_k_m1_sink -2.300587 -Inf Inf
##
## Fixed parameter values:
## value type
## m1_0 0 state
##
-##
-## Warning(s):
-## Observations with value of zero were removed from the data
-##
-## Results:
-##
-## AIC BIC logLik
-## 204.4486 212.6365 -97.22429
-##
## Optimised, transformed parameters with symmetric confidence intervals:
-## Estimate Std. Error Lower Upper
-## parent_0 99.60000 1.57000 96.4000 102.8000
-## log_k_parent -2.31600 0.04087 -2.3990 -2.2330
-## log_k_m1 -5.24700 0.13320 -5.5180 -4.9770
-## f_parent_qlogis 0.05792 0.08926 -0.1237 0.2395
-## sigma 3.12600 0.35850 2.3960 3.8550
+## Estimate Std. Error Lower Upper
+## parent_0 99.600 1.57000 96.400 102.800
+## log_k_parent_sink -3.038 0.07626 -3.193 -2.883
+## log_k_parent_m1 -2.980 0.04033 -3.062 -2.898
+## log_k_m1_sink -5.248 0.13320 -5.518 -4.977
+## sigma 3.126 0.35850 2.396 3.855
##
## Parameter correlation:
-## parent_0 log_k_parent log_k_m1 f_parent_qlogis sigma
-## parent_0 1.000e+00 5.174e-01 -1.688e-01 -5.471e-01 -1.172e-06
-## log_k_parent 5.174e-01 1.000e+00 -3.263e-01 -5.426e-01 -8.483e-07
-## log_k_m1 -1.688e-01 -3.263e-01 1.000e+00 7.478e-01 8.205e-07
-## f_parent_qlogis -5.471e-01 -5.426e-01 7.478e-01 1.000e+00 1.305e-06
-## sigma -1.172e-06 -8.483e-07 8.205e-07 1.305e-06 1.000e+00
+## parent_0 log_k_parent_sink log_k_parent_m1 log_k_m1_sink
+## parent_0 1.000e+00 6.067e-01 -6.372e-02 -1.688e-01
+## log_k_parent_sink 6.067e-01 1.000e+00 -8.550e-02 -6.252e-01
+## log_k_parent_m1 -6.372e-02 -8.550e-02 1.000e+00 4.731e-01
+## log_k_m1_sink -1.688e-01 -6.252e-01 4.731e-01 1.000e+00
+## sigma 5.940e-10 5.021e-10 2.938e-08 2.342e-10
+## sigma
+## parent_0 5.940e-10
+## log_k_parent_sink 5.021e-10
+## log_k_parent_m1 2.938e-08
+## log_k_m1_sink 2.342e-10
+## sigma 1.000e+00
##
## Backtransformed parameters:
## Confidence intervals for internally transformed parameters are asymmetric.
## t-test (unrealistically) based on the assumption of normal distribution
## for estimators of untransformed parameters.
-## Estimate t value Pr(&gt;t) Lower Upper
-## parent_0 99.600000 63.430 2.298e-36 96.400000 1.028e+02
-## k_parent 0.098700 24.470 4.955e-23 0.090820 1.073e-01
-## k_m1 0.005261 7.510 6.165e-09 0.004012 6.898e-03
-## f_parent_to_m1 0.514500 23.070 3.104e-22 0.469100 5.596e-01
-## sigma 3.126000 8.718 2.235e-10 2.396000 3.855e+00
+## Estimate t value Pr(&gt;t) Lower Upper
+## parent_0 99.600000 63.430 2.298e-36 96.400000 1.028e+02
+## k_parent_sink 0.047920 13.110 6.126e-15 0.041030 5.596e-02
+## k_parent_m1 0.050780 24.800 3.269e-23 0.046780 5.512e-02
+## k_m1_sink 0.005261 7.510 6.165e-09 0.004012 6.898e-03
+## sigma 3.126000 8.718 2.235e-10 2.396000 3.855e+00
##
## FOCUS Chi2 error levels in percent:
## err.min n.optim df
## All data 6.398 4 15
-## parent 6.459 2 7
-## m1 4.690 2 8
+## parent 6.827 3 6
+## m1 4.490 1 9
##
## Resulting formation fractions:
## ff
-## parent_m1 0.5145
## parent_sink 0.4855
+## parent_m1 0.5145
+## m1_sink 1.0000
##
## Estimated disappearance times:
## DT50 DT90
@@ -542,12 +548,12 @@ the <code>mkinparplot</code> function.</p>
## 0 parent 102.04 99.59848 2.442e+00
## 1 parent 93.50 90.23787 3.262e+00
## 1 parent 92.50 90.23787 2.262e+00
-## 3 parent 63.23 74.07319 -1.084e+01
-## 3 parent 68.99 74.07319 -5.083e+00
+## 3 parent 63.23 74.07320 -1.084e+01
+## 3 parent 68.99 74.07320 -5.083e+00
## 7 parent 52.32 49.91207 2.408e+00
## 7 parent 55.13 49.91207 5.218e+00
-## 14 parent 27.27 25.01258 2.257e+00
-## 14 parent 26.64 25.01258 1.627e+00
+## 14 parent 27.27 25.01257 2.257e+00
+## 14 parent 26.64 25.01257 1.627e+00
## 21 parent 11.50 12.53462 -1.035e+00
## 21 parent 11.64 12.53462 -8.946e-01
## 35 parent 2.85 3.14787 -2.979e-01
@@ -562,18 +568,18 @@ the <code>mkinparplot</code> function.</p>
## 3 m1 12.96 13.02400 -6.400e-02
## 7 m1 22.97 25.04476 -2.075e+00
## 7 m1 24.47 25.04476 -5.748e-01
-## 14 m1 41.69 36.69003 5.000e+00
-## 14 m1 33.21 36.69003 -3.480e+00
+## 14 m1 41.69 36.69002 5.000e+00
+## 14 m1 33.21 36.69002 -3.480e+00
## 21 m1 44.37 41.65310 2.717e+00
## 21 m1 46.44 41.65310 4.787e+00
-## 35 m1 41.22 43.31313 -2.093e+00
-## 35 m1 37.95 43.31313 -5.363e+00
-## 50 m1 41.19 41.21832 -2.832e-02
-## 50 m1 40.01 41.21832 -1.208e+00
-## 75 m1 40.09 36.44704 3.643e+00
-## 75 m1 33.85 36.44704 -2.597e+00
-## 100 m1 31.04 31.98162 -9.416e-01
-## 100 m1 33.13 31.98162 1.148e+00
+## 35 m1 41.22 43.31312 -2.093e+00
+## 35 m1 37.95 43.31312 -5.363e+00
+## 50 m1 41.19 41.21831 -2.831e-02
+## 50 m1 40.01 41.21831 -1.208e+00
+## 75 m1 40.09 36.44703 3.643e+00
+## 75 m1 33.85 36.44703 -2.597e+00
+## 100 m1 31.04 31.98163 -9.416e-01
+## 100 m1 33.13 31.98163 1.148e+00
## 120 m1 25.15 28.78984 -3.640e+00
## 120 m1 33.31 28.78984 4.520e+00</code></pre>

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