From b6e278759127dab5bb78bc3016926a66e8a9758f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 14 May 2020 17:10:59 +0200 Subject: Test markdown link, article update due to .rmd extension --- docs/reference/nlme.html | 25 ++++++++++++++----------- 1 file changed, 14 insertions(+), 11 deletions(-) (limited to 'docs/reference/nlme.html') diff --git a/docs/reference/nlme.html b/docs/reference/nlme.html index 8ef7e7c9..b2d415dc 100644 --- a/docs/reference/nlme.html +++ b/docs/reference/nlme.html @@ -43,7 +43,7 @@ +datasets. They are used internally by the nlme.mmkin() method." /> @@ -112,6 +112,9 @@ datasets." />
  • Example evaluation of NAFTA SOP Attachment examples
  • +
  • + Some benchmark timings +
  • @@ -147,7 +150,7 @@ datasets." />

    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.

    +datasets. They are used internally by the 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
    plot(augPred(m_nlme, level = 0:1), layout = c(3, 1))
    # augPred does not seem to work on fits with more than one state # variable -- cgit v1.2.1