LAM (0.2-9)

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Some Latent Variable Models.

Contains some procedures for latent variable modelling with a particular focus on multilevel data. The 'LAM' package contains mean and covariance structure modelling for multivariate normally distributed data (mlnormal()), a general Metropolis-Hastings algorithm (amh()) and penalized maximum likelihood estimation (pmle()).

Maintainer: Alexander Robitzsch
Author(s): Alexander Robitzsch [aut,cre]

License: GPL (>= 2)

Uses: CDM, coda, Rcpp, sirt, TAM, lme4, MASS, lavaan, STARTS
Reverse suggests: STARTS

Released 1 day ago.

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