Title: | The Length-Biased Power Garima Distribution |
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Description: | The Length-Biased Power Garima distribution for computes the probability density, the cumulative density distribution and the quantile function of the distribution, and generates sample values with random variables based on Kittipong and Sirinapa(2021)<DOI: 10.14456/sjst-psu.2021.89>. |
Authors: | Kittipong Klinjan [cre, aut], Onrampa Thepdaeng [aut], Tadaporn Sombunpen [aut], Atchanut Rattanalertnusorn [aut], Sirinapa Aryuyuen [aut] |
Maintainer: | Kittipong Klinjan <[email protected]> |
License: | GPL-3 |
Version: | 0.1.2 |
Built: | 2025-01-12 06:21:47 UTC |
Source: | https://github.com/cran/LBPG |
The LBPG package computes the probability density, the cumulative density distribution and the quantile function of the length-biased power Garima (LBPG) distribution, and generates sample values with random variables that has the LBPG distribution.
dLBPG(x, lambda, beta)
dLBPG(x, lambda, beta)
x |
vector of positive quantile. |
lambda |
positive parameter(Transformed parameter). |
beta |
positive parameter(Shape parameter). |
dLBPG gives the probability density function.
Kittipong Klinjan and Sirinapa Aryuyuen(2021), The length-biased power Garima distribution and its application to model lifetime data,Songklanakarin Lournal of Science asd Techno;ogy (SJST),Volume 43 No.3(May - Jun. 2021),pp667-676, <DOI: 10.14456/sjst-psu.2021.89>
dLBPG(5.7,1.5,2.5)
dLBPG(5.7,1.5,2.5)
The LBPG package computes the probability density, the cumulative density distribution and the quantile function of the length-biased power Garima (LBPG) distribution, and generates sample values with random variables that has the LBPG distribution.
pLBPG(x, lambda, beta)
pLBPG(x, lambda, beta)
x |
vector of positive quantile. |
lambda |
positive parameters(Transformed parameter). |
beta |
positive parameters(Shape parameter). |
pLBPG gives the cumulative density function.
Kittipong Klinjan and Sirinapa Aryuyuen(2021), The length-biased power Garima distribution and its application to model lifetime data,Songklanakarin Lournal of Science asd Techno;ogy (SJST),Volume 43 No.3(May - Jun. 2021),pp667-676, <DOI: 10.14456/sjst-psu.2021.89>
pLBPG(0.5,1.5,2.5)
pLBPG(0.5,1.5,2.5)
The LBPG package computes the probability density, the cumulative density distribution and the quantile function of the length-biased power Garima (LBPG) distribution, and generates sample values with random variables that has the LBPG distribution.
qLBPG(p, alpha, beta)
qLBPG(p, alpha, beta)
p |
vector pf probabilities. |
alpha |
positive parameters(Transformed parameter). |
beta |
positive parameters(Shape parameter). |
qLBPG gives the quantile function.
Kittipong Klinjan and Sirinapa Aryuyuen(2021), The length-biased power Garima distribution and its application to model lifetime data,Songklanakarin Lournal of Science asd Techno;ogy (SJST),Volume 43 No.3(May - Jun. 2021),pp667-676, <DOI: 10.14456/sjst-psu.2021.89>
qLBPG(0.5,1.5,2.5)
qLBPG(0.5,1.5,2.5)
The LBPG package computes the probability density, the cumulative density distribution and the quantile function of the length-biased power Garima (LBPG) distribution, and generates sample values with random variables that has the LBPG distribution.
rLBPG(n, alpha, beta)
rLBPG(n, alpha, beta)
n |
number of observations.If length(n)>1,the length is taken no be the number required. |
alpha |
positive parameters(Transformed parameter). |
beta |
positive parameters(Shape parameter). |
rLBPG generates sample values of random variables.
Kittipong Klinjan and Sirinapa Aryuyuen(2021), The length-biased power Garima distribution and its application to model lifetime data,Songklanakarin Lournal of Science asd Techno;ogy (SJST),Volume 43 No.3(May - Jun. 2021),pp667-676, <DOI: 10.14456/sjst-psu.2021.89>
rLBPG(5,1.5,1)
rLBPG(5,1.5,1)