pf_logarithmic: Logarithmic probability function
In prdm0/MarshallOlkinPSG: A competitive family to the Beta and Kumarashuamy generators: Properties, Regressions and Applications
Description
Usage
Arguments
Value
Examples
View source: R/power_series_distributions.R
Description
Logarithmic probability function
Usage
1
pf_logarithmic(n, theta)
Arguments
n
Function support, with n = 1, 2, \cdots.
theta
A probability value, i.e, 0 < θ < 1.
Value
Calculated probability (vector)
Examples
1
2
3
4
5
sapply(
X = 1L:1000L,
FUN = function(i)
pf_logarithmic(n = i, theta = 0.5)
) %>% sum
prdm0/MarshallOlkinPSG documentation built on Dec. 22, 2021, 9:51 a.m.
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Description Usage Arguments Value Examples
View source: R/power_series_distributions.R
Description
Logarithmic probability function
Usage
1 | pf_logarithmic(n, theta)
|
Arguments
n |
Function support, with n = 1, 2, \cdots. |
theta |
A probability value, i.e, 0 < θ < 1. |
Value
Calculated probability (vector)
Examples
1 2 3 4 5 | sapply(
X = 1L:1000L,
FUN = function(i)
pf_logarithmic(n = i, theta = 0.5)
) %>% sum
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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