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authorJohannes Ranke <jranke@uni-bremen.de>2021-06-11 11:14:45 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2021-06-11 11:14:45 +0200
commit0c9b2f0e3c8ce65cb790c9e048476784cbbea070 (patch)
tree578f716c9daaff9502a95178e2d6ba63da438fbe /R/mean_degparms.R
parentc6eb6b2bb598002523c3d34d71b0e4a99671ccd6 (diff)
Finished 'summary.nlmixr.mmkin', checks, docs
Diffstat (limited to 'R/mean_degparms.R')
-rw-r--r--R/mean_degparms.R3
1 files changed, 2 insertions, 1 deletions
diff --git a/R/mean_degparms.R b/R/mean_degparms.R
index ec7f4342..ec20c068 100644
--- a/R/mean_degparms.R
+++ b/R/mean_degparms.R
@@ -4,6 +4,7 @@
#' 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.
+#' @param object An mmkin row object containing several fits of the same model to different datasets
#' @param random Should a list with fixed and random effects be returned?
#' @param test_log_parms If TRUE, log parameters are only considered in
#' the mean calculations if their untransformed counterparts (most likely
@@ -51,7 +52,7 @@ mean_degparms <- function(object, random = FALSE, test_log_parms = FALSE, conf.l
# For nlmixr we can specify starting values for standard deviations eta, and
# we ignore uncertain parameters if test_log_parms is FALSE
- eta <- apply(degparm_mat_trans_OK, 1, sd, na.rm = TRUE)
+ eta <- apply(degparm_mat_trans_OK, 1, stats::sd, na.rm = TRUE)
return(list(fixed = fixed, random = list(ds = random), eta = eta))
} else {

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