Extract model parameters from mkinfit models

This function always returns degradation model parameters as well as error -model parameters, in order to avoid working with a fitted model without -considering the error structure that was assumed for the fit.

This function returns degradation model parameters as well as error +model parameters per default, in order to avoid working with a fitted model +without considering the error structure that was assumed for the fit.

parms(object, ...)
-
-# S3 method for mkinfit
-parms(object, transformed = FALSE, ...)
-
-# S3 method for mmkin
-parms(object, transformed = FALSE, ...)

parms(object, ...)
+
+# S3 method for mkinfit
+parms(object, transformed = FALSE, errparms = TRUE, ...)
+
+# S3 method for mmkin
+parms(object, transformed = FALSE, errparms = TRUE, ...)
+
+# S3 method for multistart
+parms(object, exclude_failed = TRUE, ...)

Arguments

object: A fitted model object. Methods are implemented for -mkinfit() objects and for mmkin() objects.; A fitted model object.
...: Not used
transformed: Should the parameters be returned -as used internally during the optimisation?; Should the parameters be returned as used internally +during the optimisation?
errparms: Should the error model parameters be returned +in addition to the degradation parameters?
exclude_failed: For multistart objects, should rows for failed fits +be removed from the returned parameter matrix?

Value

For mkinfit objects, a numeric vector of fitted model parameters. -For mmkin row objects, a matrix with the parameters with a -row for each dataset. If the mmkin object has more than one row, a list of -such matrices is returned.

+ + +

Depending on the object, a numeric vector of fitted model parameters, +a matrix (e.g. for mmkin row objects), or a list of matrices (e.g. for +mmkin objects with more than one row).

Examples

# mkinfit objects
-fit <- mkinfit("SFO", FOCUS_2006_C, quiet = TRUE)
-parms(fit)
+    # mkinfit objects
+fit <- mkinfit("SFO", FOCUS_2006_C, quiet = TRUE)
+parms(fit)
 #>   parent_0   k_parent      sigma 
 #> 82.4921598  0.3060633  4.6730124 
-parms(fit, transformed = TRUE)
+parms(fit, transformed = TRUE)
 #>     parent_0 log_k_parent        sigma 
 #>    82.492160    -1.183963     4.673012 
-
-# mmkin objects
-ds <- lapply(experimental_data_for_UBA_2019[6:10],
- function(x) subset(x$data[c("name", "time", "value")]))
-names(ds) <- paste("Dataset", 6:10)
-# \dontrun{
-fits <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE, cores = 1)
-parms(fits["SFO", ])
+
+# mmkin objects
+ds <- lapply(experimental_data_for_UBA_2019[6:10],
+ function(x) subset(x$data[c("name", "time", "value")]))
+names(ds) <- paste("Dataset", 6:10)
+# \dontrun{
+fits <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE, cores = 1)
+parms(fits["SFO", ])
 #>            Dataset 6    Dataset 7  Dataset 8  Dataset 9  Dataset 10
 #> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450
 #> k_parent  0.05794659  0.009647805  0.2102974  0.1232258  0.00720421
 #> sigma     5.15274487  7.040168584  3.6769645  6.4669234  6.50457673
-parms(fits[, 2])
+parms(fits[, 2])
 #> $SFO
 #>             Dataset 7
 #> parent_0 82.666781678
@@ -157,13 +185,13 @@ such matrices is returned.
 #> 
 #> $DFOP
 #>             Dataset 7
-#> parent_0 91.058971599
+#> parent_0 91.058971589
 #> k1        0.044946770
 #> k2        0.002868336
-#> g         0.526942414
+#> g         0.526942415
 #> sigma     2.221302196
 #> 
-parms(fits)
+parms(fits)
 #> $SFO
 #>            Dataset 6    Dataset 7  Dataset 8  Dataset 9  Dataset 10
 #> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450
@@ -179,13 +207,13 @@ such matrices is returned.
 #> 
 #> $DFOP
 #>            Dataset 6    Dataset 7   Dataset 8   Dataset 9   Dataset 10
-#> parent_0 96.55213663 91.058971599 90.34509493 98.14858821 94.311323732
+#> parent_0 96.55213663 91.058971589 90.34509493 98.14858820 94.311323734
 #> k1        0.21954588  0.044946770  0.41232288  0.31697588  0.080663857
 #> k2        0.02957934  0.002868336  0.07581766  0.03260384  0.003425417
-#> g         0.44845068  0.526942414  0.66091967  0.65322767  0.342652880
+#> g         0.44845068  0.526942415  0.66091967  0.65322767  0.342652880
 #> sigma     1.35690468  2.221302196  1.34169076  2.87159846  1.942067831
 #> 
-parms(fits, transformed = TRUE)
+parms(fits, transformed = TRUE)
 #> $SFO
 #>              Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10
 #> parent_0     88.522754 82.666782 86.854731 91.777931  82.148094
@@ -207,7 +235,7 @@ such matrices is returned.
 #> g_qlogis -0.2069326  0.1078741  0.6673953  0.6332573 -0.6514943
 #> sigma     1.3569047  2.2213022  1.3416908  2.8715985  1.9420678
 #> 
-# }
+# }


@@ -222,7 +250,7 @@ such matrices is returned.


 
 
-  
Site built with pkgdown 2.0.3.
+  
Site built with pkgdown 2.0.6.

Extract model parameters from mkinfit models

Extract model parameters

Arguments

Value

See also

Examples