Package: psp 1.0.6

psp: Parameter Space Partitioning MCMC for Global Model Evaluation

Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.

Authors:Lenard Dome [aut, cre], Andy Wills [aut]

psp_1.0.6.tar.gz
psp_1.0.6.zip(r-4.7-x86_64)psp_1.0.6.zip(r-4.7-arm64)psp_1.0.6.zip(r-4.6-x86_64)psp_1.0.6.zip(r-4.6-arm64)psp_1.0.6.zip(r-4.5-x86_64)
psp_1.0.6.tgz(r-4.6-x86_64)psp_1.0.6.tgz(r-4.6-arm64)psp_1.0.6.tgz(r-4.5-x86_64)psp_1.0.6.tgz(r-4.5-arm64)
psp_1.0.6.tar.gz(r-4.7-arm64)psp_1.0.6.tar.gz(r-4.7-x86_64)psp_1.0.6.tar.gz(r-4.6-arm64)psp_1.0.6.tar.gz(r-4.6-x86_64)
psp_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
psp/json (API)

# Install 'psp' in R:
install.packages('psp', repos = c('https://lenarddome.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lenarddome/psp/issues

Pkgdown/docs site:https://lenarddome.com

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cognitive-sciencecomputational-modellingglobal-analysismodel-evaluationparameter-space-analysispsychologycpp

4.26 score 10 stars 12 scripts 369 downloads 3 exports 3 dependencies

Last updated from:e37d0af6f8. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK128
source / vignettesOK214
linux-release-arm64OK102
linux-release-x86_64OK119
macos-release-arm64OK104
macos-release-x86_64OK302
macos-oldrel-arm64OK135
macos-oldrel-x86_64OK436
windows-devel-arm64OK204
windows-devel-x86_64OK158
windows-release-arm64OK190
windows-release-x86_64OK113
windows-oldrel-x86_64OK93
wasm-releaseOK87

Exports:psp_controlpsp_globalpspGlobal

Dependencies:data.tableRcppRcppArmadillo