Other packages > Find by keyword >

DISTRIB  

Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach
View on CRAN: Click here


Download and install DISTRIB package within the R console
Install from CRAN:
install.packages("DISTRIB")

Install from Github:
library("remotes")
install_github("cran/DISTRIB")

Install by package version:
library("remotes")
install_version("DISTRIB", "1.0")



Attach the package and use:
library("DISTRIB")
Maintained by
Abbas Parchami
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-26
Latest Update: 2016-12-26
Description:
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.
How to cite:
Abbas Parchami (2016). DISTRIB: Four Essential Functions for Statistical Distributions Analysis: A New Functional Approach. R package version 1.0, https://cran.r-project.org/web/packages/DISTRIB. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0 (2016-12-26 10:34), (2026-07-09 08:01)
Other packages that cited DISTRIB R package
View DISTRIB citation profile
Other R packages that DISTRIB depends, imports, suggests or enhances
Complete documentation for DISTRIB
Functions, R codes and Examples using the DISTRIB R package
Some associated functions: DISTRIB-package . cdf . pdf . q . rd . 
Some associated R codes: cdf.R . pdf.R . q.R . rd.R .  Full DISTRIB package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA