lamle

Maximum Likelihood Estimation of Latent Variable Models

CRAN Package

Approximate marginal maximum likelihood estimation of multidimensional latent variable models via adaptive quadrature or Laplace approximations to the integrals in the likelihood function, as presented for confirmatory factor analysis models in Jin, S., Noh, M., and Lee, Y. (2018) doi:10.1080/10705511.2017.1403287, for item response theory models in Andersson, B., and Xin, T. (2021) doi:10.3102/1076998620945199, and for generalized linear latent variable models in Andersson, B., Jin, S., and Zhang, M. (2023) doi:10.1016/j.csda.2023.107710. Models implemented include the generalized partial credit model, the graded response model, and generalized linear latent variable models for Poisson, negative-binomial and normal distributions. Supports a combination of binary, ordinal, count and continuous observed variables and multiple group models.


Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports4 packages
  • Linking To2 packages