Package: horseshoenlm
Title: Nonlinear Regression using Horseshoe Prior
Version: 0.0.6
Authors@R: 
    c(person("Arnab Kumar", "Maity", email = "Arnab.Maity@pfizer.com", role = c("aut", "cre")))
Description: 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).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: survival, msm
RoxygenNote: 7.1.1
Suggests: boot, pgdraw, mvtnorm
Repository: https://maitya02.r-universe.dev
Date/Publication: 2020-12-16 21:33:12 UTC
RemoteUrl: https://github.com/maitya02/horseshoenlm
RemoteRef: HEAD
RemoteSha: e7c9d40bbfa6270aa8a231a64d102ef4c97571df
NeedsCompilation: no
Packaged: 2026-06-16 10:07:54 UTC; root
Author: Arnab Kumar Maity [aut, cre]
Maintainer: Arnab Kumar Maity <Arnab.Maity@pfizer.com>