In kyoustat/T4mle: What the Package Does Using Title Case

knitr::opts_chunk$set(
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T4mle

The goal of T4mle is to ...

Installation

You can install the released version of T4mle from CRAN with:

install.packages("T4mle")

Available Distributions for Estimation

We use following notations; $B(a,b)$ a beta function.

| type | distribution | domain | parameter | |----------| ------------ | --------------- | ----------- | |continuous| Beta |$[0,1]$ | $\alpha, \beta$ | |continuous| Beta-Prime |$[0,\infty)$ | $\alpha, \beta$ | |continuous| Dagum |$(0,\infty)$ | $p, a, b$ | |continuous| Exponential |$[0,\infty)$ | $\lambda$ | |continuous| Folded-Normal|$[0,\infty)$ | $\mu, \sigma$| |continuous| Gamma |$(0,\infty)$ | $\alpha, \beta$| |continuous| Generalized Gamma|$(0,\infty)$| $a, d, p$| |continuous| Gompertz |$[0,\infty)$ | $\eta, b$| |continuous| Gumbel |$\mathbb{R}$ | $\mu, \beta$| |continuous| Half-Normal |$[0,\infty)$ | $\sigma$| |continuous| Inverse-Gamma|$(0,\infty)$ | $\alpha, \beta$| |continuous| Kumaraswamy |$(0,1)$ | $a, b$ | |continuous| Lévy |$[\mu,\infty)$ | $\mu, c$| |continuous| Log-Cauchy |$(0,\infty)$ | $\mu, \sigma$| |continuous| Log-Laplace |$(0,\infty)$ | $\mu, b$| |continuous| Log-Logistic |$[0,\infty)$ | $\alpha, \beta$ | |continuous| Log-Normal |$(0,\infty)$ | $\mu, \sigma$| |continuous| Logit-Normal |$(0,1)$ | $\mu, \sigma$ | |continuous| Lomax |$[0,\infty)$ | $\alpha, \lambda$| |continuous| Nakagami |$(0,\infty)$ | $m, \Omega$ | |continuous| Rayleigh |$[0,\infty)$ | $\sigma$ | |continuous| Shifted Gompertz|$[0,\infty)$ | $b, \eta$ | |continuous| Weibull |$[0,\infty)$ | $\lambda, k$ | |discrete | Bernoulli |${0,1}$ | $p$ |discrete | Yule-Simon |${1,2,\ldots}$ | $\rho$ |