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author | Johannes Ranke <jranke@uni-bremen.de> | 2020-04-14 17:22:00 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2020-04-14 17:22:00 +0200 |
commit | 26085403289e29259e500282e8e88a5ab00c07a0 (patch) | |
tree | e86d5195c725ee0c08a45e4393ff9c1dfad64314 /man/nlme.mmkin.Rd | |
parent | d4a49b4837de347d34b2c198de7342c34b0fab63 (diff) |
Add a nlme method for mmkin row objects
Diffstat (limited to 'man/nlme.mmkin.Rd')
-rw-r--r-- | man/nlme.mmkin.Rd | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/man/nlme.mmkin.Rd b/man/nlme.mmkin.Rd new file mode 100644 index 00000000..5f937488 --- /dev/null +++ b/man/nlme.mmkin.Rd @@ -0,0 +1,72 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/nlme.mmkin.R +\name{nlme.mmkin} +\alias{nlme.mmkin} +\title{Create an nlme model for an mmkin row object} +\usage{ +\method{nlme}{mmkin}( + model, + data = sys.frame(sys.parent()), + fixed, + random = fixed, + groups, + start, + correlation = NULL, + weights = NULL, + subset, + method = c("ML", "REML"), + na.action = na.fail, + naPattern, + control = list(), + verbose = FALSE +) +} +\arguments{ +\item{model}{An \code{\link{mmkin}} row object.} + +\item{data}{Ignored, data are taken from the mmkin model} + +\item{fixed}{Ignored, all degradation parameters fitted in the +mmkin model are used as fixed parameters} + +\item{random}{If not specified, all fixed effects are complemented +with uncorrelated random effects} + +\item{groups}{See the documentation of nlme} + +\item{start}{If not specified, mean values of the fitted degradation +parameters taken from the mmkin object are used} + +\item{correlation}{See the documentation of nlme} + +\item{weights}{passed to nlme} + +\item{subset}{passed to nlme} + +\item{method}{passed to nlme} + +\item{na.action}{passed to nlme} + +\item{naPattern}{passed to nlme} + +\item{control}{passed to nlme} + +\item{verbose}{passed to nlme} +} +\value{ +Upon success, a fitted nlme.mmkin object, which is + an nlme object with additional elements +} +\description{ +Create an nlme model for an mmkin row object +} +\examples{ +ds <- lapply(experimental_data_for_UBA_2019[6:10], + function(x) subset(x$data[c("name", "time", "value")], name == "parent")) +f <- mmkin("SFO", ds, quiet = TRUE, cores = 1) +library(nlme) +f_nlme <- nlme(f) +nlme(f, random = parent_0 ~ 1) +f_nlme <- nlme(f, start = c(parent_0 = 100, log_k_parent_sink = 0.1)) +update(f_nlme, random = parent_0 ~ 1) +} |