From b6e278759127dab5bb78bc3016926a66e8a9758f Mon Sep 17 00:00:00 2001
From: Johannes Ranke These functions facilitate setting up a nonlinear mixed effects model for
an mmkin row object. An mmkin row object is essentially a list of mkinfit
objects that have been obtained by fitting the same model to a list of
-datasets.nlme.mmkin()
method.
nlme_function(object) @@ -222,28 +225,28 @@ nlme for the case of a single grouping variable ds? #> Model: value ~ nlme_f(name, time, parent_0, log_k_parent_sink) #> Data: grouped_data #> AIC BIC logLik -#> 252.7798 262.1358 -121.3899 +#> 298.2781 307.7372 -144.1391 #> #> Random effects: #> Formula: list(parent_0 ~ 1, log_k_parent_sink ~ 1) #> Level: ds #> Structure: Diagonal -#> parent_0 log_k_parent_sink Residual -#> StdDev: 0.0006768135 0.6800777 2.489397 +#> parent_0 log_k_parent_sink Residual +#> StdDev: 0.9374733 0.7098105 3.83543 #> #> Fixed effects: parent_0 + log_k_parent_sink ~ 1 -#> Value Std.Error DF t-value p-value -#> parent_0 101.74884 0.6456014 44 157.60321 0 -#> log_k_parent_sink -3.05575 0.4015811 44 -7.60929 0 +#> Value Std.Error DF t-value p-value +#> parent_0 101.76838 1.1445444 45 88.91606 0 +#> log_k_parent_sink -3.05444 0.4195622 45 -7.28008 0 #> Correlation: #> prnt_0 -#> log_k_parent_sink 0.026 +#> log_k_parent_sink 0.034 #> #> Standardized Within-Group Residuals: #> Min Q1 Med Q3 Max -#> -2.1317488 -0.6878121 0.0828385 0.8592270 2.9529864 +#> -2.6169360 -0.2185329 0.0574070 0.5720937 3.0459868 #> -#> Number of Observations: 48 +#> Number of Observations: 49 #> Number of Groups: 3# augPred does not seem to work on fits with more than one state # variable -- cgit v1.2.1