Package: LATERmodel 0.2.0.9000

Maria del Mar Quiroga

LATERmodel: Linear Approach to Threshold with Ergodic Rate for Reaction Times

Implements the Linear Approach to Threshold with Ergodic Rate (LATER) model, which predicts distributions of reaction times and summarises them with as little as two free parameters. Allows for easy visualisation and comparison of datasets, along with fitting of datasets using the LATER model.

Authors:Maria del Mar Quiroga [aut, cre], Damien Mannion [aut], Edoardo Tescari [aut], Andrew Anderson [aut], The University of Melbourne [cph, fnd]

LATERmodel_0.2.0.9000.tar.gz
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LATERmodel.pdf |LATERmodel.html✨
LATERmodel/json (API)
NEWS

# Install 'LATERmodel' in R:

install.packages('LATERmodel', repos = c('https://unimelbmdap.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/unimelbmdap/latermodel/issues

Datasets:

carpenter_williams_1995 - Digitised data corresponding to Figure 2 of Carpenter and Williams
reddi_asrress_carpenter_2003 - Digitised data corresponding to Figure 2 of Reddi, Asrress, and Carpenter, 2003.

On CRAN:

4.20 score 1 stars 3 scripts 90 downloads 11 exports 32 dependencies

Last updated 7 months agofrom:9f44eec553. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 04 2024
R-4.5-win	OK	Nov 04 2024
R-4.5-linux	OK	Nov 04 2024
R-4.4-win	OK	Nov 04 2024
R-4.4-mac	OK	Nov 04 2024
R-4.3-win	OK	Nov 04 2024
R-4.3-mac	OK	Nov 04 2024

Exports:compare_fits fit_data individual_later_fit ks_compare ks_heatmap model_cdf model_pdf prepare_data promptness_ecdf reciprobit_plot simulate_dataset

Dependencies:cli colorspace dplyr fansi farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv moments munsell nlme pillar pkgconfig R6 RColorBrewer rlang scales tibble tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Digitised data corresponding to Figure 2 of Carpenter and Williams (1995)	carpenter_williams_1995
Compares the goodness-of-fit of a set of fit outcomes.	compare_fits
Fit a LATER model to a single dataset or a pair of datasets.	fit_data
Fit individual LATER model to each dataset in a dataframe of datasets	individual_later_fit
Apply two-sample KS test to all pairs of datasets contained within a dataframe	ks_compare
Create a heatmap to visualise if there is not enough evidence to reject the null hypothesis that two datasets come from the same underlying distribution	ks_heatmap
Evalulate the cumulative distribution function under the model.	model_cdf
Evalulate the probability density function under the model.	model_pdf
Prepares data for reciprobit plot	prepare_data
Compute the empirical cumulative distribution function for promptness	promptness_ecdf
Plot reaction times and LATER model fit in reciprobit axes	reciprobit_plot
Digitised data corresponding to Figure 2 of Reddi, Asrress, and Carpenter, 2003.	reddi_asrress_carpenter_2003
Simulate a dataset given model parameters.	simulate_dataset