These are statistical software programs for analysis of intensive longitudinal data, or other types of data with many within-subject (or cluster) measurements.  MixRegLS allows modeling of the mean, between-subject (BS) variance, and within-subject (WS) variance.  Random effects are included in the mean (location) and WS variance (scale) submodels.  The MixWild program extends MixRegLS in several important ways.  MixWild allows for multiple random location effects (e.g., intercepts and slopes), in addition to a random scale effect.  These random subject effects (multiple location and one scale) can then be used as predictors in a Stage 2 model of a subject or multilevel outcome that could be continuous (multiple regression), discrete (binary/ordinal or nominal logistic regression), or a count (Poisson regression).  Also, MixWild includes a graphical user interface (GUI) to facilitate program use.

MixWild program

MIXWILD Program User guide and MixWild_Example DataSet

  • Dzubur, E., Ponnada, A., Nordgren, R., Yang, C.-H., Intille, S., Dunton, G., & Hedeker, D. (2020).  MixWILD: A program for examining the effects of variance and slope of time-varying variables in intensive longitudinal data. Behavior Research Methods, 52(4):1403-1427.  pdf file

MixWild Presentation File 1,  MixWild Presentation File 2

YouTube lecture – an introduction to the mixed-effects location scale model and a MixWild example (lecture slides; dataset for example)


MixRegLS program – this zip file contains the MIXREGLS program, manual, and several examples

Slides on running MixRegLS — exercise dataset and def file: zip file

MixRegLS_R – this zip file contains the files for running MIXREGLS in R