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

On CRAN:

7 exports 0.63 score 18 dependencies 2 scripts 194 downloads

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

Exports:afthsbayesreg.fastmvg_bhatbayesreg.fastmvg2_ruebayesreg.sample_betalmhslogithsprobiths

Dependencies:cliexpmfansigenericsgluelatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigrlangsurvivaltibbleutf8vctrs