Package: lacm 0.1.2

lacm: Latent Autoregressive Count Models

Perform pairwise likelihood inference in latent autoregressive count models. See Pedeli and Varin (2020) for details.

Authors:Xanthi Pedeli [aut], Cristiano Varin [aut, cre]

lacm_0.1.2.tar.gz
lacm_0.1.2.zip(r-4.7)lacm_0.1.2.zip(r-4.6)lacm_0.1.2.zip(r-4.5)
lacm_0.1.2.tgz(r-4.6-x86_64)lacm_0.1.2.tgz(r-4.6-arm64)lacm_0.1.2.tgz(r-4.5-x86_64)lacm_0.1.2.tgz(r-4.5-arm64)
lacm_0.1.2.tar.gz(r-4.7-arm64)lacm_0.1.2.tar.gz(r-4.7-x86_64)lacm_0.1.2.tar.gz(r-4.6-arm64)lacm_0.1.2.tar.gz(r-4.6-x86_64)
lacm_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
lacm/json (API)

# Install 'lacm' in R:
install.packages('lacm', repos = c('https://crisvarin.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • polio - Polio Time Series

On CRAN:

Conda:

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

1.00 score 7 scripts 555 downloads 2 exports 2 dependencies

Last updated from:d39bf82dbf. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK95
source / vignettesOK108
linux-release-arm64OK114
linux-release-x86_64OK104
macos-release-arm64OK91
macos-release-x86_64OK287
macos-oldrel-arm64OK106
macos-oldrel-x86_64OK247
windows-develOK109
windows-releaseOK69
windows-oldrelOK118
wasm-releaseOK107

Exports:CLIClacm

Dependencies:numDerivstatmod