README.md
In Zhiqiangcao/gmusim: Growth Modelling using a Shape Invariant Model with Random Effects
gmusim
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.
Zhiqiangcao/gmusim documentation built on May 10, 2019, 1:58 a.m.
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gmusim
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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