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distributions3:Probability Distributions as S3 Objects
Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
Maintained by Alex Hayes. Last updated 6 months ago.
102 stars 11.35 score 118 scripts 7 dependentsfbartos
BayesTools:Tools for Bayesian Analyses
Provides tools for conducting Bayesian analyses and Bayesian model averaging (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Maintained by František Bartoš. Last updated 2 months ago.
7 stars 6.06 score 17 scripts 3 dependentstkonopka
Rcssplot:Styling of Graphics using Cascading Style Sheets
Provides a means to style plots through cascading style sheets. This separates the aesthetics from the data crunching in plots and charts.
Maintained by Tomasz Konopka. Last updated 5 months ago.
10 stars 5.35 score 15 scriptscran
DISTRIB:Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach
A different way for calculating pdf/pmf, cdf, quantile and random data such that the user is able to consider the name of related distribution as an argument and so easily can changed by a changing argument by user. It must be mentioned that the core and computation base of package 'DISTRIB' is package 'stats'. Although similar functions are introduced previously in package 'stats', but the package 'DISTRIB' has some special applications in some special computational programs.
Maintained by Abbas Parchami. Last updated 8 years ago.
2.95 score 3 dependents