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
LazyData: true
Depends: R (>= 3.5.0)
Imports: survival, msm
RoxygenNote: 7.1.1
Suggests: boot, pgdraw, mvtnorm
NeedsCompilation: no
Packaged: 2020-12-16 21:35:11 UTC; MAITYA02
Author: Arnab Kumar Maity [aut, cre]
Maintainer: Arnab Kumar Maity <Arnab.Maity@pfizer.com>
Repository: CRAN
Date/Publication: 2020-12-18 10:10:02 UTC
Built: R 4.1.0; ; 2021-05-26 21:36:39 UTC; unix
