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

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

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

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

r2MLM (Author): R function that computes and outputs R-squared measures and analytic decompositions of variance for multilevel models. Available at

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

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