From 630e657f1794ea441afc9ff10663309fec5e847e Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 1 Nov 2022 14:16:21 +0100 Subject: Update online docs --- docs/dev/reference/saem.html | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) (limited to 'docs/dev/reference/saem.html') diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html index c8a7504f..8ea0ef6e 100644 --- a/docs/dev/reference/saem.html +++ b/docs/dev/reference/saem.html @@ -19,7 +19,7 @@ Expectation Maximisation algorithm (SAEM)."> mkin - 1.1.2 + 1.2.0 @@ -100,6 +100,7 @@ Expectation Maximisation algorithm (SAEM).

saem( object, transformations = c("mkin", "saemix"), + error_model = "auto", degparms_start = numeric(), test_log_parms = TRUE, conf.level = 0.6, @@ -124,6 +125,7 @@ Expectation Maximisation algorithm (SAEM).

object, solution_type = "auto", transformations = c("mkin", "saemix"), + error_model = "auto", degparms_start = numeric(), covariance.model = "auto", no_random_effect = NULL, @@ -160,6 +162,10 @@ SFO, FOMC, DFOP and HS without fixing parent_0, and SFO or DFOP wit one SFO metabolite.

+
error_model
+

Possibility to override the error model used in the mmkin object

+ +
degparms_start

Parameter values given as a named numeric vector will be used to override the starting values obtained from the 'mmkin' object.

@@ -409,10 +415,10 @@ using mmkin.

summary(f_saem_dfop_sfo, data = TRUE) #> saemix version used for fitting: 3.2 -#> mkin version used for pre-fitting: 1.1.2 -#> R version used for fitting: 4.2.1 -#> Date of fit: Wed Oct 26 09:20:37 2022 -#> Date of summary: Wed Oct 26 09:20:37 2022 +#> mkin version used for pre-fitting: 1.2.0 +#> R version used for fitting: 4.2.2 +#> Date of fit: Tue Nov 1 14:12:07 2022 +#> Date of summary: Tue Nov 1 14:12:07 2022 #> #> Equations: #> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 * @@ -427,7 +433,7 @@ using mmkin.

#> #> Model predictions using solution type analytical #> -#> Fitted in 8.902 s +#> Fitted in 8.45 s #> Using 300, 100 iterations and 10 chains #> #> Variance model: Constant variance -- cgit v1.2.3