From e5d1df9a9b1f0951d7dfbaf24eee4294470b73e2 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 17 Nov 2022 14:54:20 +0100 Subject: Complete update of online docs for v1.2.0 --- docs/reference/mean_degparms.html | 41 +++++++++++++++++++++++++++------------ 1 file changed, 29 insertions(+), 12 deletions(-) (limited to 'docs/reference/mean_degparms.html') diff --git a/docs/reference/mean_degparms.html b/docs/reference/mean_degparms.html index bea9f2d8..dedb8660 100644 --- a/docs/reference/mean_degparms.html +++ b/docs/reference/mean_degparms.html @@ -17,7 +17,7 @@ mkin - 1.1.0 + 1.2.0 @@ -44,11 +44,14 @@ Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models
  • - Example evaluation of FOCUS Example Dataset Z + Short demo of the multistart method
  • Performance benefit by using compiled model definitions in mkin
    • +
  • + Example evaluation of FOCUS Example Dataset Z +
  • Calculation of time weighted average concentrations with mkin
    • @@ -56,7 +59,10 @@ Example evaluation of NAFTA SOP Attachment examples
  • - Some benchmark timings + Benchmark timings for mkin +
    • +
  • + Benchmark timings for saem.mmkin
  • @@ -87,36 +93,47 @@
    - 
    mean_degparms(
-  object,
-  random = FALSE,
-  test_log_parms = FALSE,
-  conf.level = 0.6,
-  default_log_parms = NA
-)
    + 
    mean_degparms(
+  object,
+  random = FALSE,
+  test_log_parms = FALSE,
+  conf.level = 0.6,
+  default_log_parms = NA
+)

    Arguments

    object

    An mmkin row object containing several fits of the same model to different datasets

    + +
    random

    Should a list with fixed and random effects be returned?

    + +
    test_log_parms

    If TRUE, log parameters are only considered in the mean calculations if their untransformed counterparts (most likely rate constants) pass the t-test for significant difference from zero.

    + +
    conf.level

    Possibility to adjust the required confidence level for parameter that are tested if requested by 'test_log_parms'.

    + +
    default_log_parms

    If set to a numeric value, this is used as a default value for the tested log parameters that failed the t-test.

    +

    Value

    -

    If random is FALSE (default), a named vector containing mean values + + +

    If random is FALSE (default), a named vector containing mean values of the fitted degradation model parameters. If random is TRUE, a list with fixed and random effects, in the format required by the start argument of nlme for the case of a single grouping variable ds.

    @@ -134,7 +151,7 @@ nlme for the case of a single grouping variable ds.

    -

    Site built with pkgdown 2.0.3.

    +

    Site built with pkgdown 2.0.6.

    -- cgit v1.2.1