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'))

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

On CRAN:

Conda:

2.70 score 2 scripts 171 downloads 7 exports 18 dependencies

Last updated 4 years agofrom:e7c9d40bbf. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 14 2025
R-4.5-winWARNINGMar 14 2025
R-4.5-macWARNINGMar 14 2025
R-4.5-linuxWARNINGMar 14 2025
R-4.4-winWARNINGMar 14 2025
R-4.4-macWARNINGMar 14 2025
R-4.4-linuxWARNINGMar 14 2025
R-4.3-winWARNINGMar 14 2025
R-4.3-macWARNINGMar 14 2025

Exports:afthsbayesreg.fastmvg_bhatbayesreg.fastmvg2_ruebayesreg.sample_betalmhslogithsprobiths

Dependencies:cliexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigrlangsurvivaltibbleutf8vctrs