Rdocumentation
powered by
Learn R Programming
IIVpredictor (version 0.1.0)
Modeling Within Individual Variability as Predictor
Description
Time parceling method and Bayesian variability modeling methods for modeling within individual variability indicators as predictors.For more details, see
.
Copy Link
Link to current version
Version
Version
0.1.0
Install
install.packages('IIVpredictor')
Monthly Downloads
219
Version
0.1.0
License
GPL-2
Maintainer
Xiao Liu
Last Published
May 18th, 2021
Functions in IIVpredictor (0.1.0)
Search all functions
IVAR.TPB
Time parceling (with bootstrap) method for modeling intraindividual variance as a predictor
ISD.BV
Bayesian variability modeling method for modeling intraindividual standard deviation as a predictor
IVAR.BV
Bayesian variability modeling method for modeling intraindividual variance as a predictor