| 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 
[aut, cre],
Daniel Adler [aut],
Thomas Kneib [aut],
Stefan Lang [aut],
Achim Zeileis
[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 |
verbose |
should output be printed to the R console during runtime of BayesX. |
... |
further arguments to be passed to |
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)