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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 |
| Reference manual: | 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) |
| Package source: | YEAB_1.0.6.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): YEAB_1.0.6.tgz, r-oldrel (arm64): not available, r-release (x86_64): YEAB_1.0.6.tgz, r-oldrel (x86_64): not available |
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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.