Package: horseshoenlm 0.0.6

horseshoenlm: Nonlinear Regression using Horseshoe Prior

Provides the posterior estimates of the regression coefficients when horseshoe prior is specified. The regression models considered here are logistic model for binary response and log normal accelerated failure time model for right censored survival response. The linear model analysis is also available for completeness. All models provide deviance information criterion and widely applicable information criterion. See <doi:10.1111/rssc.12377> Maity et. al. (2019) <doi:10.1111/biom.13132> Maity et. al. (2020).

Authors:Arnab Kumar Maity [aut, cre]

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horseshoenlm.pdf |horseshoenlm.html✨
horseshoenlm/json (API)

# Install 'horseshoenlm' in R:
install.packages('horseshoenlm', repos = c('https://maitya02.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/maitya02/horseshoenlm/issues

On CRAN:

2.70 score 2 scripts 164 downloads 7 exports 18 dependencies

Last updated 4 years agofrom:e7c9d40bbf. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winWARNINGNov 14 2024
R-4.5-linuxWARNINGNov 14 2024
R-4.4-winWARNINGNov 14 2024
R-4.4-macWARNINGNov 14 2024
R-4.3-winWARNINGNov 14 2024
R-4.3-macWARNINGNov 14 2024

Exports:afthsbayesreg.fastmvg_bhatbayesreg.fastmvg2_ruebayesreg.sample_betalmhslogithsprobiths

Dependencies:cliexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigrlangsurvivaltibbleutf8vctrs