Package: flankr 1.2.0.9999

flankr: Implementing Computational Models of Attentional Selectivity

A set of methods to simulate from and fit computational models of attentional selectivity. The package implements the dual-stage two-phase (DSTP) model of Hübner et al. (2010) <doi:10.1037/a0019471>, and the shrinking spotlight (SSP) model of White et al. (2011) <doi:10.1016/j.cogpsych.2011.08.001>.

Authors:Jim Grange [aut, cre]

flankr_1.2.0.9999.tar.gz
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flankr_1.2.0.9999.tgz(r-4.6-x86_64)flankr_1.2.0.9999.tgz(r-4.6-arm64)flankr_1.2.0.9999.tgz(r-4.5-x86_64)flankr_1.2.0.9999.tgz(r-4.5-arm64)
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flankr_1.2.0.9999.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flankr/json (API)

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

Bug tracker:https://github.com/jimgrange/flankr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • exampleData - Example response time data set for multiple subjects.

On CRAN:

Conda:

cpp

4.18 score 10 stars 6 scripts 138 downloads 26 exports 1 dependencies

Last updated from:d64813d687. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK117
linux-devel-x86_64OK124
source / vignettesOK155
linux-release-arm64OK115
linux-release-x86_64OK117
macos-release-arm64OK84
macos-release-x86_64OK163
macos-oldrel-arm64OK90
macos-oldrel-x86_64OK208
windows-develOK127
windows-releaseOK99
windows-oldrelOK106
wasm-releaseOK107

Exports:cafcdffit_dstpfit_dstp_fixedfit_multiple_dstpfit_multiple_dstp_fixedfit_multiple_sspfit_multiple_ssp_fixedfit_sspfit_ssp_fixedfitDSTPfitDSTP_fixedfitMultipleDSTPfitMultipleDSTP_fixedfitMultipleSSPfitMultipleSSP_fixedfitSSPfitSSP_fixedplot_fit_dstpplot_fit_sspplotFitDSTPplotFitSSPsimulate_dstpsimulate_sspsimulateDSTPsimulateSSP

Dependencies:Rcpp