DPQ
Density, Probability, Quantile ('DPQ') Computations
Computations for approximations and alternatives for the 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions for probability distributions in R. Primary focus is on (central and non-central) beta, gamma and related distributions such as the chi-squared, F, and t. – For several distribution functions, provide functions implementing formulas from Johnson, Kotz, and Kemp (1992) <doi:10.1002/bimj.4710360207> and Johnson, Kotz, and Balakrishnan (1995) for discrete or continuous distributions respectively. This is for the use of researchers in these numerical approximation implementations, notably for my own use in order to improve standard R pbeta(), qgamma(), ..., etc: {'"dpq"'-functions}.
- Version0.5-9
- R version≥ 4.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release08/23/2024
Documentation
Team
Martin Maechler
MaintainerShow author detailsMarius Hofert
Wolfgang Viechtbauer
Ross Ihaka
Show author detailsRolesContributorMorten Welinder
Show author detailsRolesContributorR-core
Show author detailsRolesContributorR Foundation
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 571 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 6,253 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jan 22, 2025 with 74 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports1 package
- Suggests8 packages
- Reverse Imports1 package
- Reverse Enhances1 package