SBSA: Simplified Bayesian Sensitivity Analysis

Simplified Bayesian Sensitivity Analysis

Install the latest version of this package by entering the following in R:
install.packages("SBSA")
AuthorDavor Cubranic and Paul Gustafson
Date of publication2014-01-31 21:47:18
MaintainerDavor Cubranic <cubranic@stat.ubc.ca>
LicenseGPL (>= 3)
Version0.2.3
http://sbsa.r-forge.r-project.org/

View on CRAN

Files

inst
inst/doc
inst/doc/SBSA-introduction.Rnw
inst/doc/SBSA-introduction.R
inst/doc/SBSA-introduction.pdf
src
src/Makevars
src/bsa_binary_mcmc_result.cpp
src/bsa_mcmc_result.h
src/bsalite.h
src/bsalite_binary-main.cpp
src/bsa_mcmc_result.cpp
src/bsalite-main.cpp
src/mcmc_binary_sampler.cpp
src/log_functor.cpp
src/log_binary_functor.cpp
src/bsa_continuous_model.cpp
src/log_binary_functor.h
src/bsa_binary_model.cpp
src/bsa_binary_mcmc_result.h
src/mcmc_binary_sampler.h
src/mcmc_sampler.cpp
src/bsa_continuous_model.h
src/mcmc_sampler.h
src/Makevars.win
src/log_functor.h
src/bsa_binary_model.h
NAMESPACE
R
R/fitSBSA.R
vignettes
vignettes/SBSA-introduction.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/fitSBSA.Rd man/SBSA-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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