California Community Colleges Chancellor's Office (2017).  Percentage Point Gap Method. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>.
California Community Colleges Chancellor's Office (2014).  Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.
Imports: dplyr (>= 0.8.5), rlang, tidyselect, purrr, tidyr
Suggests: knitr, rmarkdown, ggplot2, forcats, scales

Suggests: knitr, rmarkdown, markdown, prettydoc, ggplot2, forcats,

Imports: dplyr (>= 0.8.5), rlang, tidyselect, purrr, tidyr, parallel,

fst, DBI, duckdb (>= 0.5.0), glue, stringr, data.table (>=

California Community Colleges Chancellor's Office (2014).  Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Network-Operations/Accountability/Files/GUIDELINES-FOR-MEASURING-DISPROPORTIONATE-IMPACT-IN-EQUITY-PLANS.ashx>.
Imports: magrittr, dplyr, rlang, tidyselect, purrr

Imports: dplyr, rlang, tidyselect, purrr, tidyr

Description: First - Generates (potentially high-dimensional) high-frequency and low-frequency series for simulation studies in temporal disaggregation; Second - a toolkit utilizing temporal disaggregation and benchmarking techniques with a low-dimensional matrix of indicator series previously proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third - novel techniques proposed by Mosley, Gibberd and Eckley (2021) <arXiv:2108.05783> for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Imports: Rdpack, zoo, lars, Matrix, withr

Title: Discrete associated kernel estimators.
Author: W. E. Wansouwe, C. C. Kokonendji and D.T. Kolyang.
Maintainer: W. E. Wansouwe <ericwansouwe@gmail.com>
Description: Probability mass function estimation is performed through three standard discrete associated kernels: Binomial,  Poisson and Negative binomial kernels.  The cross validation method for bandwidth selection is also implemented.