TY - JOUR

T1 - Piecewise Random-Effects Modeling Software Programs

AU - Kohli, Nidhi

AU - Peralta, Yadira

AU - Bose, Maitreyee

PY - 2019/1/2

Y1 - 2019/1/2

N2 - In this software review, we provide a brief overview of four different functions to fit a piecewise random-effects model with unknown changepoints (knots). Specifically, the four functions are: FitPMM from the R routine developed by (Zopluoglu, Harring, & Kohli, 2014), PROC NLMIXED from SAS, BayesPGM from the BayesianPGMM package in R developed by (Lock, Kohli, and Bose, 2018), and stancode_randomchangecorr function developed by (Brilleman, Howe, Wolfe, & Tilling, 2017) implemented to interface with Stan from R using the rstan package. We illustrate the estimation of the piecewise random-effects model using each of these functions by using a sample dataset. We provide appropriate commented code for the four functions, and briefly discuss the strengths and weaknesses of each function.

AB - In this software review, we provide a brief overview of four different functions to fit a piecewise random-effects model with unknown changepoints (knots). Specifically, the four functions are: FitPMM from the R routine developed by (Zopluoglu, Harring, & Kohli, 2014), PROC NLMIXED from SAS, BayesPGM from the BayesianPGMM package in R developed by (Lock, Kohli, and Bose, 2018), and stancode_randomchangecorr function developed by (Brilleman, Howe, Wolfe, & Tilling, 2017) implemented to interface with Stan from R using the rstan package. We illustrate the estimation of the piecewise random-effects model using each of these functions by using a sample dataset. We provide appropriate commented code for the four functions, and briefly discuss the strengths and weaknesses of each function.

KW - piecewise function

KW - random changepoint

KW - software

UR - http://www.scopus.com/inward/record.url?scp=85060554422&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85060554422&partnerID=8YFLogxK

U2 - 10.1080/10705511.2018.1516507

DO - 10.1080/10705511.2018.1516507

M3 - Review article

AN - SCOPUS:85060554422

SN - 1070-5511

VL - 26

SP - 156

EP - 164

JO - Structural Equation Modeling

JF - Structural Equation Modeling

IS - 1

ER -