get.contrasts.ci.cosinor: Get contrasts and confidence interval for MESOR, Amplitude,...

In maytesuarezfarinas/cosinoRmixedeffects: Tools for estimating and predicting the cosinor model with mixed effects

Get contrasts and confidence interval for MESOR, Amplitude, Acrophase

Description

The function takes in a fitted merMod object as input and returns the statistics (e.g. standard error) of pair-wise contrasts of MESOR, amplitude and acrophase. The output are bootstrapped estimates, 95 for MESOR, Amplitude and acrophase.

Usage

get.contrasts.ci.cosinor(
  fit,
  contrast.frm,
  nsim = 500,
  parallel = "multicore",
  ncpus = 8,
  conftype = "norm",
  conflevel = 0.95,
  ...
)

Arguments

fit	the object from lmer()
contrast.frm	a string formula specifying the names of the predictors over which emmeans are desired.
nsim	the number of simulations, positive integer; the bootstrap B (or R) for bootMer function.Default is 500.
parallel	the type of parallel operation to be used (if any) for bootMer function. The default is "multicore".
ncpus	integer: number of processes to be used in parallel operation: typically one would choose this to be the number of available CPUs.Default is 8.
conftype	a character string representing the type of interval required.The value must be one of "norm", "basic","perc".
conflevel	The confidence level required, default is 0.95.
...	additional argument(s) for methods.

Examples

library(lme4)
library(emmeans)
data("db.model")
f<-fit.cosinor.mixed(y="hrv", x="gender", random="1|participant_id", data=db.model)
summary(f)
get.contrasts.ci.cosinor(f,contrast.frm="~gender")

maytesuarezfarinas/cosinoRmixedeffects documentation built on Oct. 30, 2024, 9:31 p.m.