The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

SujathaDist logo

SujathaDist

R-CMD-check [License: GPL-3]

Overview

SujathaDist is an R package that provides computational tools for the Sujatha distribution, a one-parameter lifetime distribution introduced by Shanker (2016). The package offers functions for evaluating distributional quantities, generating random samples, estimating model parameters, assessing goodness-of-fit, and performing statistical analyses for lifetime and reliability data.

Features

The package currently provides:


Installation

Development version

install.packages("remotes")

remotes::install_github("hosenur72/SujathaDist")

Quick Start

library(SujathaDist)

theta <- 2

## Density
dsujatha(1, theta)

## Distribution
psujatha(1, theta)

## Quantile
qsujatha(0.5, theta)

## Random generation
set.seed(123)
x <- rsujatha(100, theta)

## Parameter estimation
fit <- fitsujatha(x)

summary(fit)

## Goodness of fit
gofsujatha(fit)

Package Structure

Function Description
dsujatha Density
psujatha Distribution
qsujatha Quantile
rsujatha Random generation
fitsujatha Maximum likelihood estimation
gofsujatha Goodness-of-fit

References

Shanker, R. (2016).

Sujatha Distribution and its Applications.

Statistics in Transition New Series, 17(3), 391–410.

https://doi.org/10.21307/stattrans-2016-029


Citation

citation("SujathaDist")

Prodhani, H. R. (2026):Statistical Methods for the Sujatha Distribution, R package version 1.0.0, https://github.com/hosenur72/SujathaDist”


Author

Hosenur Rahman Prodhani Assistant Professor

Department of Statistics

B.N. College (Autonomous),Dhubri, Assam, India

Email: hosenur72@gmail.com - ORCID: https://orcid.org/0009-0001-3919-4952


License

GPL-3

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.