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PeerJ Computer Science
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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invgamma: the inverse gamma distribution in R

Authors: David Kahle; James Stamey;

invgamma: the inverse gamma distribution in R

Abstract

invgamma is a popular low dependency R package that implements the probability density function (PDF), cumulative distribution function (CDF), quantile function (QF) and random number generator (RNG) functions for the inverse gamma, inverse chi-squared, and inverse exponential distributions, which are missing from base R. The functions follow the standard R syntax and are efficient, leveraging the corresponding functions for the gamma distribution currently in R through straightforward mathematical relationships between the distributions. It is distributed through the Comprehensive R Archive Network (CRAN, https://cran.r-project.org) and GitHub (https://github.com/dkahle/invgamma), where it is version controlled.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold