From 7c62da1269e8910a210ba1917d4dc62d186d5606 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 6 Oct 2016 09:40:35 +0200 Subject: Static documentation rebuilt by pkgdown::build_site() --- docs/transform_odeparms.html | 281 ------------------------------------------- 1 file changed, 281 deletions(-) delete mode 100644 docs/transform_odeparms.html (limited to 'docs/transform_odeparms.html') diff --git a/docs/transform_odeparms.html b/docs/transform_odeparms.html deleted file mode 100644 index 6f48b1fa..00000000 --- a/docs/transform_odeparms.html +++ /dev/null @@ -1,281 +0,0 @@ - - - - -transform_odeparms. mkin 0.9.44.9000 - - - - - - - - - - - - - - - - - - -
-
- -
- -

- Functions to transform and backtransform kinetic parameters for fitting -

- -
-
-

Usage

-
transform_odeparms(parms, mkinmod,
-                   transform_rates = TRUE, transform_fractions = TRUE)
-backtransform_odeparms(transparms, mkinmod,
-                       transform_rates = TRUE, transform_fractions = TRUE)
- -

Arguments

-
-
parms
-
- Parameters of kinetic models as used in the differential equations. -
-
transparms
-
- Transformed parameters of kinetic models as used in the fitting procedure. -
-
mkinmod
-
- The kinetic model of class mkinmod, containing the names of - the model variables that are needed for grouping the formation fractions - before ilr transformation, the parameter names and - the information if the pathway to sink is included in the model. -
-
transform_rates
-
- Boolean specifying if kinetic rate constants should be transformed in the - model specification used in the fitting for better compliance with the - assumption of normal distribution of the estimator. If TRUE, also - alpha and beta parameters of the FOMC model are log-transformed, as well - as k1 and k2 rate constants for the DFOP and HS models and the break point tb - of the HS model. -
-
transform_fractions
-
- Boolean specifying if formation fractions constants should be transformed in the - model specification used in the fitting for better compliance with the - assumption of normal distribution of the estimator. The default (TRUE) is - to do transformations. The g parameter of the DFOP and HS models are also - transformed, as they can also be seen as compositional data. The - transformation used for these transformations is the ilr - transformation. -
-
- -
-

Description

- -

The transformations are intended to map parameters that should only take - on restricted values to the full scale of real numbers. For kinetic rate - constants and other paramters that can only take on positive values, a - simple log transformation is used. For compositional parameters, such as - the formations fractions that should always sum up to 1 and can not be - negative, the ilr transformation is used.

- -

The transformation of sets of formation fractions is fragile, as it supposes - the same ordering of the components in forward and backward transformation. - This is no problem for the internal use in mkinfit.

- -
- -
-

Value

- -

- A vector of transformed or backtransformed parameters with the same names - as the original parameters. -

- -
- -

Examples

-
SFO_SFO <- mkinmod( - parent = list(type = "SFO", to = "m1", sink = TRUE), - m1 = list(type = "SFO"))
-Successfully compiled differential equation model from auto-generated C code. -
# Fit the model to the FOCUS example dataset D using defaults -fit <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) -summary(fit, data=FALSE) # See transformed and backtransformed parameters
-
mkin version: 0.9.44.9000 -R version: 3.3.1 -Date of fit: Sat Sep 10 05:53:13 2016 -Date of summary: Sat Sep 10 05:53:13 2016 - -Equations: -d_parent = - k_parent_sink * parent - k_parent_m1 * parent -d_m1 = + k_parent_m1 * parent - k_m1_sink * m1 - -Model predictions using solution type deSolve - -Fitted with method Port using 153 model solutions performed in 0.634 s - -Weighting: none - -Starting values for parameters to be optimised: - 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_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 - -Optimised, transformed parameters with symmetric confidence intervals: - Estimate Std. Error Lower Upper -parent_0 99.600 1.61400 96.330 102.900 -log_k_parent_sink -3.038 0.07826 -3.197 -2.879 -log_k_parent_m1 -2.980 0.04124 -3.064 -2.897 -log_k_m1_sink -5.248 0.13610 -5.523 -4.972 - -Parameter correlation: - parent_0 log_k_parent_sink log_k_parent_m1 log_k_m1_sink -parent_0 1.00000 0.6075 -0.06625 -0.1701 -log_k_parent_sink 0.60752 1.0000 -0.08740 -0.6253 -log_k_parent_m1 -0.06625 -0.0874 1.00000 0.4716 -log_k_m1_sink -0.17006 -0.6253 0.47163 1.0000 - -Residual standard error: 3.211 on 36 degrees of freedom - -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(>t) Lower Upper -parent_0 99.600000 61.720 2.024e-38 96.330000 1.029e+02 -k_parent_sink 0.047920 12.780 3.050e-15 0.040890 5.616e-02 -k_parent_m1 0.050780 24.250 3.407e-24 0.046700 5.521e-02 -k_m1_sink 0.005261 7.349 5.758e-09 0.003992 6.933e-03 - -Chi2 error levels in percent: - err.min n.optim df -All data 6.398 4 15 -parent 6.827 3 6 -m1 4.490 1 9 - -Resulting formation fractions: - ff -parent_sink 0.4855 -parent_m1 0.5145 -m1_sink 1.0000 - -Estimated disappearance times: - DT50 DT90 -parent 7.023 23.33 -m1 131.761 437.70 -
-
-## Not run: ------------------------------------ -# fit.2 <- mkinfit(SFO_SFO, FOCUS_2006_D, transform_rates = FALSE) -# summary(fit.2, data=FALSE) -## --------------------------------------------- - -initials <- fit$start$value -names(initials) <- rownames(fit$start) -transformed <- fit$start_transformed$value -names(transformed) <- rownames(fit$start_transformed) -transform_odeparms(initials, SFO_SFO)
-
parent_0 log_k_parent_sink log_k_parent_m1 log_k_m1_sink - 100.750000 -2.302585 -2.301586 -2.300587 -
-
backtransform_odeparms(transformed, SFO_SFO)
-
parent_0 k_parent_sink k_parent_m1 k_m1_sink - 100.7500 0.1000 0.1001 0.1002 -
-
-## Not run: ------------------------------------ -# # The case of formation fractions -# SFO_SFO.ff <- mkinmod( -# parent = list(type = "SFO", to = "m1", sink = TRUE), -# m1 = list(type = "SFO"), -# use_of_ff = "max") -# -# fit.ff <- mkinfit(SFO_SFO.ff, FOCUS_2006_D) -# summary(fit.ff, data = FALSE) -# initials <- c("f_parent_to_m1" = 0.5) -# transformed <- transform_odeparms(initials, SFO_SFO.ff) -# backtransform_odeparms(transformed, SFO_SFO.ff) -# -# # And without sink -# SFO_SFO.ff.2 <- mkinmod( -# parent = list(type = "SFO", to = "m1", sink = FALSE), -# m1 = list(type = "SFO"), -# use_of_ff = "max") -# -# -# fit.ff.2 <- mkinfit(SFO_SFO.ff.2, FOCUS_2006_D) -# summary(fit.ff.2, data = FALSE) -## ---------------------------------------------
-
- -
- - -
- - \ No newline at end of file -- cgit v1.2.1