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author | Johannes Ranke <jranke@uni-bremen.de> | 2022-08-11 11:27:13 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-08-11 11:27:13 +0200 |
commit | 118b3753740ff4e7dc777baac7e769950005697b (patch) | |
tree | 6c78b817dde4764f27420e0223d79a6c8eeb152b /R | |
parent | 7c89f6125e9961cf9adfb937ae77879c20c0756d (diff) |
Start a multistart method
Diffstat (limited to 'R')
-rw-r--r-- | R/multistart.R | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/R/multistart.R b/R/multistart.R new file mode 100644 index 00000000..db482cc4 --- /dev/null +++ b/R/multistart.R @@ -0,0 +1,24 @@ +#' Perform a hierarchical model fit with multiple starting values +#' +#' The purpose of this method is to check if a certain algorithm for fitting +#' nonlinear hierarchical models (also known as nonlinear mixed-effects models) +#' will reliably yield results that are sufficiently similar to each other, if +#' started with a certain range of reasonable starting parameters. It is +#' inspired by the article on practical identifiabiliy in the frame of nonlinear +#' mixed-effects models by Duchesne et al (2021). +#' +#' @references Duchesne R, Guillemin A, Gandrillon O, Crauste F. Practical +#' identifiability in the frame of nonlinear mixed effects models: the example +#' of the in vitro erythropoiesis. BMC Bioinformatics. 2021 Oct 4;22(1):478. +#' doi: 10.1186/s12859-021-04373-4. +#' @export +multistart <- function(object, n = 50, ...) +{ + UseMethod("multistart", object) +} + +#' @rdname multistart +#' @export +multistart.saem.mmkin <- function(object, n = 50, ...) { + +} |