Zhiqiangcao/gmusim: Growth Modelling using a Shape Invariant Model with Random Effects

Functions for fitting growth curves using SIM (Shape Invariant Model) with random effects (Beath, 2007) involved in time independent covariates and computing some public health statistics, such as age at peak velocity (apv), peak velocity (pv) and height (or weight) at peak velocity (ypv). This package is based on R package sitar and SIM model, and the basis of this model is that a population has a common characteristic curve or function, which by shifting and scaling can be made to have the form of any individual curve.

Getting started

Package details

AuthorZhiqiang Cao, Man-Yu Wong
MaintainerZhiqiang Cao <[email protected]>
LicenseGPL (>= 2)
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Zhiqiangcao/gmusim")
Zhiqiangcao/gmusim documentation built on June 5, 2018, 1:17 p.m.