Package: EMfit
Type: Package
Title: An Infrastructure for Latent Variable Model Fitting using EM
        Algorithms
Version: 0.2.1
Date: 2022-09-02
Author: Martin Elff
Maintainer: Martin Elff <martin@elff.eu>
Description: The package contains the boilerplate code for estimating
        latent variable models by maximum marginal likelihood using EM
        algorithms. The code is generic and thus not optimised for
        particular models. The package supports fitting latent class or
        finite mixture models using simple EM algorithms and (to some
        degree) latent trait or continous mixture models using Monte
        Carlo EM algorithms. Only importance sampling is supported for
        MCEM. However, it implements automatic sample size adjustment
        using the approach of Caffo Jank and Jones.
License: GPL
Suggests: roxygen2
Repository: https://melff.r-universe.dev
Date/Publication: 2026-02-08 20:50:13 UTC
RemoteUrl: https://github.com/melff/EMfit
RemoteRef: HEAD
RemoteSha: b40d46038707c1fe736de6c1ddfc045595c4ab71
RemoteSubdir: pkg
NeedsCompilation: no
Packaged: 2026-06-08 07:49:43 UTC; root