Package: plfm 2.2.6

plfm: Probabilistic Latent Feature Analysis

Functions for estimating probabilistic latent feature models with a disjunctive, conjunctive or additive mapping rule on (aggregated) binary three-way data.

Authors:Michel Meulders [aut, cre], Philippe De Bruecker [ctb]

plfm_2.2.6.tar.gz
plfm_2.2.6.zip(r-4.7-x86_64)plfm_2.2.6.zip(r-4.7-arm64)plfm_2.2.6.zip(r-4.6-x86_64)plfm_2.2.6.zip(r-4.6-arm64)plfm_2.2.6.zip(r-4.5-x86_64)
plfm_2.2.6.tgz(r-4.6-x86_64)plfm_2.2.6.tgz(r-4.6-arm64)plfm_2.2.6.tgz(r-4.5-x86_64)plfm_2.2.6.tgz(r-4.5-arm64)
plfm_2.2.6.tar.gz(r-4.7-arm64)plfm_2.2.6.tar.gz(r-4.7-x86_64)plfm_2.2.6.tar.gz(r-4.6-arm64)plfm_2.2.6.tar.gz(r-4.6-x86_64)
plfm_2.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
plfm/json (API)

# Install 'plfm' in R:
install.packages('plfm', repos = c('https://michelmeulders.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • anger - Situational determinants of anger-related behavior
  • anger2 - Situational determinants of anger-related behavior
  • car - Ratings of associations between car models and car attributes
  • car2 - Judgements on associations between car models and car attributes
  • hostility - Self-reported hostile behavior in frustrating situations

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.40 score 25 scripts 322 downloads 7 exports 2 dependencies

Last updated from:9b0e9a8928. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK92
linux-devel-x86_64OK113
source / vignettesOK184
linux-release-arm64OK81
linux-release-x86_64OK93
macos-release-arm64OK103
macos-release-x86_64OK375
macos-oldrel-arm64OK111
macos-oldrel-x86_64OK395
windows-devel-arm64OK342
windows-devel-x86_64OK130
windows-release-arm64OK401
windows-release-x86_64OK90
windows-oldrel-x86_64OK95
wasm-releaseOK82

Exports:bayesplfmgendatgendatLCplfmLCplfmplfmstepLCplfmstepplfm

Dependencies:abindsfsmisc

Readme and manuals

Help Manual

Help pageTopics
Probabilistic Latent Feature Analysisplfm-package
Situational determinants of anger-related behavioranger
Situational determinants of anger-related behavioranger2
Bayesian analysis of probabilistic latent feature models for two-way two-mode frequency databayesplfm
Ratings of associations between car models and car attributescar
Judgements on associations between car models and car attributescar2
Data generationgendat
Data generationgendatLCplfm
self-reported hostile behavior in frustrating situationshostility
Latent class probabilistic feature analysis of three-way three-mode binary dataLCplfm
Probabilistic latent feature analysis of two-way two-mode frequency dataplfm
plot parameters in 'LCplfm' objectplot.LCplfm
plot parameters in 'plfm' objectplot.plfm
Plot fit of 'stepLCplfm' objectsplot.stepLCplfm
Plot fit of 'stepplfm' objectsplot.stepplfm
Printing 'bayesplfm' objectsprint.bayesplfm
Printing LCplfm objectsprint.LCplfm
Printing plfm objectsprint.plfm
Printing 'stepLCplfm' objectsprint.stepLCplfm
Printing 'stepplfm' objectsprint.stepplfm
Printing summaries of Bayesian probabilistic latent feature analysisprint.summary.bayesplfm
Printing summaries of probabilistic latent feature analysis objectsprint.summary.plfm
Printing summaries of 'stepLCplfm' objectsprint.summary.stepLCplfm
Printing summaries of 'stepplfm' objectsprint.summary.stepplfm
Latent class probabilistic latent feature analysis of three-way three-mode binary datastepLCplfm
Probabilistic latent feature analysis of two-way two-mode frequency datastepplfm
Summarizing Bayesian probabilistic latent feature analysissummary.bayesplfm
Summarizing probabilistic latent feature analysissummary.plfm
Summary method for 'stepLCplfm' objectssummary.stepLCplfm
Summary method for 'stepplfm' objectssummary.stepplfm