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ScaleSpikeSlab  

Scalable Spike-and-Slab
View on CRAN: Click here


Download and install ScaleSpikeSlab package within the R console
Install from CRAN:
install.packages("ScaleSpikeSlab")

Install from Github:
library("remotes")
install_github("cran/ScaleSpikeSlab")

Install by package version:
library("remotes")
install_version("ScaleSpikeSlab", "1.0")



Attach the package and use:
library("ScaleSpikeSlab")
Maintained by
Niloy Biswas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-18
Latest Update: 2022-05-18
Description:
A scalable Gibbs sampling implementation for high dimensional Bayesian regression with the continuous spike-and-slab prior. Niloy Biswas, Lester Mackey and Xiao-Li Meng, "Scalable Spike-and-Slab" (2022) .
How to cite:
Niloy Biswas (2022). ScaleSpikeSlab: Scalable Spike-and-Slab. R package version 1.0, https://cran.r-project.org/web/packages/ScaleSpikeSlab. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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Other R packages that ScaleSpikeSlab depends, imports, suggests or enhances
Complete documentation for ScaleSpikeSlab
Functions, R codes and Examples using the ScaleSpikeSlab R package
Some associated functions: riboflavin . spike_slab_linear . spike_slab_logistic . spike_slab_params . spike_slab_probit . synthetic_data . 
Some associated R codes: RcppExports.R . ScaleSpikeSlab-package.R . helper_functions.R . mcmc_functions.R . riboflavin_dataset.R .  Full ScaleSpikeSlab package functions and examples
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