From 91c5db736a4d3f2290a0cc5698fb4e35ae7bda59 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 18 May 2022 21:26:17 +0200 Subject: Remove outdated comment in FOCUS L vignette, update docs This also adds the first benchmark results obtained on my laptop system --- docs/reference/nlme.mmkin.html | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) (limited to 'docs/reference/nlme.mmkin.html') diff --git a/docs/reference/nlme.mmkin.html b/docs/reference/nlme.mmkin.html index 1f071ffa..c8bd28e9 100644 --- a/docs/reference/nlme.mmkin.html +++ b/docs/reference/nlme.mmkin.html @@ -97,7 +97,7 @@ have been obtained by fitting the same model to a list of datasets.

data = "auto", fixed = lapply(as.list(names(mean_degparms(model))), function(el) eval(parse(text = paste(el, 1, sep = "~")))), - random = pdDiag(fixed), + random = pdDiag(fixed), groups, start = mean_degparms(model, random = TRUE, test_log_parms = TRUE), correlation = NULL, @@ -196,7 +196,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as anova(f_nlme_sfo, f_nlme_dfop) #> Model df AIC BIC logLik Test L.Ratio p-value #> f_nlme_sfo 1 5 625.0539 637.5529 -307.5269 -#> f_nlme_dfop 2 9 495.1270 517.6253 -238.5635 1 vs 2 137.9269 <.0001 +#> f_nlme_dfop 2 9 495.1270 517.6253 -238.5635 1 vs 2 137.9268 <.0001 print(f_nlme_dfop) #> Kinetic nonlinear mixed-effects model fit by maximum likelihood #> @@ -227,7 +227,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as endpoints(f_nlme_dfop) #> $distimes #> DT50 DT90 DT50back DT50_k1 DT50_k2 -#> parent 10.79857 100.7937 30.34193 4.193938 43.85443 +#> parent 10.79857 100.7937 30.34192 4.193936 43.85441 #> ds_2 <- lapply(experimental_data_for_UBA_2019[6:10], @@ -278,12 +278,12 @@ methods that will automatically work on 'nlme.mmkin' objects, such as endpoints(f_nlme_dfop_sfo) #> $ff #> parent_A1 parent_sink -#> 0.2768574 0.7231426 +#> 0.2768575 0.7231425 #> #> $distimes #> DT50 DT90 DT50back DT50_k1 DT50_k2 #> parent 11.07091 104.6320 31.49737 4.462383 46.20825 -#> A1 162.30519 539.1662 NA NA NA +#> A1 162.30524 539.1663 NA NA NA #> if (length(findFunction("varConstProp")) > 0) { # tc error model for nlme available @@ -311,7 +311,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as #> Fixed effects: #> list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) #> parent_0 log_k1 log_k2 g_qlogis -#> 94.04774 -1.82340 -4.16716 0.05686 +#> 94.04775 -1.82340 -4.16715 0.05685 #> #> Random effects: #> Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1) @@ -325,7 +325,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as #> Formula: ~fitted(.) #> Parameter estimates: #> const prop -#> 2.23223147 0.01262395 +#> 2.23223513 0.01262371 f_2_obs <- update(f_2, error_model = "obs") f_nlme_sfo_sfo_obs <- nlme(f_2_obs["SFO-SFO", ]) @@ -358,7 +358,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as #> Formula: ~1 | name #> Parameter estimates: #> parent A1 -#> 1.0000000 0.2049995 +#> 1.0000000 0.2049985 f_nlme_dfop_sfo_obs <- nlme(f_2_obs["DFOP-SFO", ], control = list(pnlsMaxIter = 120, tolerance = 5e-4)) @@ -370,7 +370,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as anova(f_nlme_dfop_sfo, f_nlme_dfop_sfo_obs) #> Model df AIC BIC logLik Test L.Ratio #> f_nlme_dfop_sfo 1 13 843.8547 884.6201 -408.9274 -#> f_nlme_dfop_sfo_obs 2 14 817.5338 861.4350 -394.7669 1 vs 2 28.32091 +#> f_nlme_dfop_sfo_obs 2 14 817.5338 861.4350 -394.7669 1 vs 2 28.32092 #> p-value #> f_nlme_dfop_sfo #> f_nlme_dfop_sfo_obs <.0001 @@ -390,7 +390,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
-

Site built with pkgdown 2.0.2.

+

Site built with pkgdown 2.0.3.

-- cgit v1.2.1