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YEAB: Analyze Data from Analysis of Behavior Experiments

Analyze data from behavioral experiments conducted using 'MED-PC' software developed by Med Associates Inc. Includes functions to fit exponential and hyperbolic models for delay discounting tasks, exponential mixtures for inter-response times, and Gaussian plus ramp models for peak procedure data, among others. For more details, refer to Alcala et al. (2023) <doi:10.31234/osf.io/8aq2j>.

Version:1.0.6
Depends:R (≥ 3.5.0)
Imports:cluster,doParallel,data.table,dplyr,FNN,foreach,ggplot2,boot, grid,gridExtra,infotheo,ks,magrittr,minpack.lm,Polychrome,scales,sfsmisc,MASS,KernSmooth,zoo,usethis, stats, utils
Suggests:knitr,rmarkdown
Published:2025-01-31
DOI:10.32614/CRAN.package.YEAB
Author:Emmanuel Alcala [aut, cre], Rodrigo Sosa [aut], Victor Reyes [aut]
Maintainer:Emmanuel Alcala <jealcalat at gmail.com>
License:GPL (≥ 3)
NeedsCompilation:no
Citation:YEAB citation info
Materials:README,NEWS
CRAN checks:YEAB results

Documentation:

Reference manual:YEAB.html ,YEAB.pdf
Vignettes:KL_div() (source,R code)
balci2019() (source,R code)
berm() (source,R code)
breakpoint() (source,R code)
curv_indexes (source,R code)
delay_discounting_fit() (source,R code)
entropy_kde2d() (source,R code)
event_extractor() (source,R code)
f_table() (source,R code)
fleshler_hoffman() (source,R code)
fwhm() (source,R code)
gaussian_fit() (source,R code)
gell_like() (source,R code)
get_bins() (source,R code)
mut_info() (source,R code)
read_med() (source,R code)
sample_from_density() (source,R code)
ind_trails_opt() (source,R code)
unit_normalization() (source,R code)
read_med() vignette (source,R code)

Downloads:

Package source: YEAB_1.0.6.tar.gz
Windows binaries: r-devel:YEAB_1.0.6.zip, r-release:YEAB_1.0.6.zip, r-oldrel:YEAB_1.0.6.zip
macOS binaries: r-release (arm64):YEAB_1.0.6.tgz, r-oldrel (arm64):YEAB_1.0.6.tgz, r-release (x86_64):YEAB_1.0.6.tgz, r-oldrel (x86_64):YEAB_1.0.6.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=YEABto link to this page.


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