Version: 3.0-6
Date: 2025-03-10
Title: Distribution of the 'BayesX' C++ Sources
Description: 'BayesX' performs Bayesian inference in structured additive regression (STAR) models. The R package BayesXsrc provides the 'BayesX' command line tool for easy installation. A convenient R interface is provided in package R2BayesX.
Depends: R (≥ 2.8.0)
Suggests: R2BayesX
SystemRequirements: GNU make, C++14
License: GPL-2 | GPL-3
URL: https://www.uni-goettingen.de/de/bayesx/550513.html
NeedsCompilation: yes
Packaged: 2025-03-10 08:13:28 UTC; nik
Author: Nikolaus Umlauf ORCID iD [aut, cre], Daniel Adler [aut], Thomas Kneib [aut], Stefan Lang [aut], Achim Zeileis ORCID iD [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>
Repository: CRAN
Date/Publication: 2025-03-10 10:10:18 UTC

Run BayesX

Description

Run BayesX program files from R.

Usage

run.bayesx(prg = NULL, verbose = TRUE, ...)

Arguments

prg

a file path to a BayesX program file. If set to NULL, BayesX will start in batch mode.

verbose

should output be printed to the R console during runtime of BayesX.

...

further arguments to be passed to system.

Details

Function uses system to run BayesX within an R session.

Value

If a prg file is provided, the function returns a list containg information if BayesX was succesfully launched and how long the process was running.

Author(s)

Daniel Adler, Thomas Kneib, Stefan Lang, Nikolaus Umlauf, Achim Zeileis.

Examples

## Not run: 
## create a temporary directory for this example
dir <- tempdir()
prg <- file.path(dir, "demo.prg")

## generate some data
set.seed(111)
n <- 200

## regressor
dat <- data.frame(x = runif(n, -3, 3))

## response
dat$y <- with(dat, 1.5 + sin(x) + rnorm(n, sd = 0.6))

## write data to dir
write.table(dat, file.path(dir, "data.raw"),
  quote = FALSE, row.names = FALSE)

## create the .prg file
writeLines("
bayesreg b
dataset d 
d.infile using data.raw
b.outfile = mcmc
b.regress y = x(psplinerw2,nrknots=20,degree=3), family=gaussian predict using d
b.getsample", prg)

## run the .prg file from R
run.bayesx(prg)

## End(Not run)