PAVranking: This R function quantifies and assesses the consequences of parcel-allocation variability for model ranking of structural equation models. Available in the semTools package at https://www.rdocumentation.org/packages/semTools/versions/0.4-12/topics/PAVranking

poolMAlloc: This R function employs an iterative algorithm to choose the number of random item-to-parcel allocations needed to meet user-defined stability criteria for a fitted structural equation model. Available in the semTools package at https://www.rdocumentation.org/packages/semTools/versions/0.4-12/topics/poolMAlloc

npmmApproximation: This R function outputs implied fixed effects, random effect (co)variances, and residual variance components for a given nonparametric multilevel regression mixture model. Available at https://my.vanderbilt.edu/jasonrights/software/npmmapproximation/

regMixR2: This R function computes and outputs R-squared measures and analytic decompositions of variance for single-level and multilevel regression mixture models. Available at https://my.vanderbilt.edu/jasonrights/software/regMixR2

r2MLM (Author): R function that computes and outputs R-squared measures and analytic decompositions of variance for multilevel models. Available at https://my.vanderbilt.edu/jasonrights/software/r2MLM

r2MLMcomp (Author): R function that computes R-squared differences between pairs of multilevel models under comparison. Available at https://my.vanderbilt.edu/jasonrights/software/r2MLMcomp

modelavgIRT (Author): R function that reads in item response theory model person scores and their associated standard errors from each of a set of candidate models and outputs model-averaged person scores and standard errors. Available at https://my.vanderbilt.edu/jasonrights/software/modelavgIRT