Type: | Package |
Title: | The Length-Biased Power Garima Distribution |
Version: | 0.1.2 |
Language: | en-US |
Maintainer: | Kittipong Klinjan <kittipong_k@rmutt.ac.th> |
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>. |
License: | GPL-3 |
Encoding: | UTF-8 |
Imports: | gsl,stats |
RoxygenNote: | 7.1.2 |
Suggests: | testthat (≥ 3.0.0) |
Config/testthat/edition: | 3 |
NeedsCompilation: | no |
Packaged: | 2022-03-18 11:22:05 UTC; Onon |
Author: | Kittipong Klinjan [cre, aut], Onrampa Thepdaeng [aut], Tadaporn Sombunpen [aut], Atchanut Rattanalertnusorn [aut], Sirinapa Aryuyuen [aut] |
Repository: | CRAN |
Date/Publication: | 2022-03-21 08:30:25 UTC |
The probability density function of the length-biased power Garima distribution.
Description
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.
Usage
dLBPG(x, lambda, beta)
Arguments
x |
vector of positive quantile. |
lambda |
positive parameter(Transformed parameter). |
beta |
positive parameter(Shape parameter). |
Value
dLBPG gives the probability density function.
References
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>
Examples
dLBPG(5.7,1.5,2.5)
The cumulative density function of the length-biased power Garima distribution.
Description
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.
Usage
pLBPG(x, lambda, beta)
Arguments
x |
vector of positive quantile. |
lambda |
positive parameters(Transformed parameter). |
beta |
positive parameters(Shape parameter). |
Value
pLBPG gives the cumulative density function.
References
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>
Examples
pLBPG(0.5,1.5,2.5)
The quantile function of the length-biased power Garima distribution.
Description
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.
Usage
qLBPG(p, alpha, beta)
Arguments
p |
vector pf probabilities. |
alpha |
positive parameters(Transformed parameter). |
beta |
positive parameters(Shape parameter). |
Value
qLBPG gives the quantile function.
References
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>
Examples
qLBPG(0.5,1.5,2.5)
Random number generating of the length-biased power Garima distribution
Description
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.
Usage
rLBPG(n, alpha, beta)
Arguments
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). |
Value
rLBPG generates sample values of random variables.
References
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>
Examples
rLBPG(5,1.5,1)