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autorelevate

autorelevate package implements the autorelevated family of probability distributions. The autorelevated family is obtained by applying the autorelevation transformation of Krakowski (1973) and Dileepkumar and Sankaran (2022) to a baseline lifetime distribution. Ten baseline distributions, namely Weibull, Lomax, Burr XII, Gompertz, Log-Logistic, Chen, Exponentiated Exponential, Power Lindley, Log-normal, and Gamma constitute the members of the family. The Weibull member (“Autorelevated Weibull”) is studied in detail by Dileep Kumar, Shabeer, and Sankaran (2025), whose results this package implements and generalizes.

Installation

# install.packages("devtools")
devtools::install_github("vksharma-bhu/autorelevate")

Example

library(autorelevate)

# Simulate from an Autorelevated Weibull distribution
set.seed(1)
x <- rautorelevate(200, dist = "weibull", p1 = 0.5, p2 = 1.5)

# Fit by maximum likelihood
fit <- fit_autorelevate(x, dist = "weibull", method = "mle")
summary(fit)
plot(fit)

# Compare all ten baseline distributions by information criteria
compare_families(x)

# A real dataset is bundled with the package
data(bladder_cancer)
ttt_plot(bladder_cancer)
compare_families(bladder_cancer)

Citation

See citation("autorelevate") to cite the package itself. The underlying methodological references (Krakowski, 1973; Dileepkumar & Sankaran, 2022; Dileep Kumar, Shabeer, & Sankaran, 2025; Sharma, Pal, Bhardwaj, & Tyagi, 2026, submitted) are listed in ?autorelevate-package and throughout the function documentation.

License

MIT

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.