CRAN/E | sBIC

sBIC

Computing the Singular BIC for Multiple Models

Installation

About

Computes the sBIC for various singular model collections including: binomial mixtures, factor analysis models, Gaussian mixtures, latent forests, latent class analyses, and reduced rank regressions.

github.com/Lucaweihs/sBIC
Bug report File report

Key Metrics

Version 0.2.0
Published 2016-10-01 2758 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks sBIC results

Downloads

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Maintainer

Maintainer

Luca Weihs

lucaw@uw.edu

Authors

Luca Weihs

aut / cre

Martyn Plummer

ctb

Material

README
Reference manual
Package source

Vignettes

Binomial Mixtures
Factor Analysis
Gaussian Mixtures
Latent Class Analysis
Reduced Rank Regression
Introduction to sBIC

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

poLCA
R.oo ≥ 1.20.0
R.methodsS3
mclust
igraph ≥1.0.1
Rcpp ≥ 0.12.3
combinat
flexmix
hash

Suggests

testthat
mvtnorm
knitr
MASS

LinkingTo

Rcpp