The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Title: Facilitating the Use of 'Stan' Within Packages
Version: 0.0.4
Description: Infrastructure and functions that can be used for integrating 'Stan' (Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>) code into stand alone R packages which in turn use the 'CmdStan' engine which is often accessed through 'CmdStanR'. Details given in Stan Development Team (2025) https://mc-stan.org/cmdstanr/. Using 'CmdStanR' and pre-written 'Stan' code can make package installation easy. Using 'staninside' offers a way to cache user-compiled 'Stan' models in user-specified directories reducing the need to recompile the same model multiple times.
License: MIT + file LICENSE
URL: https://github.com/medewitt/staninside, https://medewitt.github.io/staninside/
BugReports: https://github.com/medewitt/staninside/issues
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (≥ 3.1)
Suggests: knitr, covr, spelling, testthat (≥ 3.0.0), rmarkdown
Imports: cli, fs, rappdirs
Language: en-US
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-28 14:54:18 UTC; michael
Author: Michael DeWitt ORCID iD [aut, cre]
Maintainer: Michael DeWitt <me.dewitt.jr@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-30 08:30:02 UTC

staninside: Facilitating the Use of 'Stan' Within Packages

Description

Infrastructure and functions that can be used for integrating 'Stan' (Carpenter et al. (2017) doi:10.18637/jss.v076.i01) code into stand alone R packages which in turn use the 'CmdStan' engine which is often accessed through 'CmdStanR'. Details given in Stan Development Team (2025) https://mc-stan.org/cmdstanr/. Using 'CmdStanR' and pre-written 'Stan' code can make package installation easy. Using 'staninside' offers a way to cache user-compiled 'Stan' models in user-specified directories reducing the need to recompile the same model multiple times.

Author(s)

Maintainer: Michael DeWitt me.dewitt.jr@gmail.com (ORCID)

See Also

Useful links:


Clear Stan Cache

Description

This function clears anything that may exist in the Stan Cache. Most Commonly if you are using the CmdStan backend, you'll have items in your cache.

Usage

clear_stan_cache(pkgname)

Arguments

pkgname

a string, the name of the package

Value

invisible null

Warning

This will removed cached models and requires that rappdirs is installed


Copy Stan Models

Description

This function extracts the Stan Code from a Package and then copies it to your user cache locally.

Usage

copy_models(pkgname = "staninside", local_location = NULL)

Arguments

pkgname

a string, the name of the package

local_location

a file path representing the desired location of the local copy. If "default" is provided, the function will use the user cache directory for the package.

Value

file path of newly created files

Examples

local_location <- tempdir()
copy_models(pkgname = "staninside", local_location = local_location)

Find Stan Code

Description

This function looks for Stan code within a given R package a returns a list with the Stan code location within the package and the text of the code,

Usage

find_stan_code(pkgname = "staninside")

Arguments

pkgname

a string, the name of the package in which to look for the Stan code.

Value

a list with the Stan code location within the package and the text of the code,

Examples

find_stan_code(pkgname = "staninside")

Create Package Infrastructure for Stan Package

Description

Create directory and helper files for a Stan package using CmdStanR

Usage

setup_stan_package(loc = NULL, use_all = TRUE)

Arguments

loc

a file.path indicating package root.

use_all

a logical indicating if each section of Stan code should have it's own directory with a default of TRUE

Value

invisible null

Examples


# Create Temporary Directory
temp_dir <- tempdir()

# Now setup the structur
setup_stan_package(loc = temp_dir)

# Examine output

list.files(temp_dir, recursive = TRUE)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.