invpareto_plt: Inverse Pareto coefficients after power-law transformation
In distributionsrd: Distribution Fitting and Evaluation

Description Usage Arguments Details Value

Coefficients of a power-law transformed Inverse Pareto distribution

1	invpareto_plt(xmax = 5, k = 1.5, a = 1, b = 1, inv = FALSE)

`xmax, k`	Scale and shape of the Inverse Pareto distribution, defaults to 5 and 1.5 respectively.
`a, b`	constant and power of power-law transformation, defaults to 1 and 1 respectively.
`inv`	logical indicating whether coefficients of the outcome variable of the power-law transformation should be returned (FALSE) or whether coefficients of the input variable being power-law transformed should be returned (TRUE). Defaults to FALSE.

If the random variable x is Inverse Pareto-distributed with scale xmin and shape k, then the power-law transformed variable

y = ax^b

is Inverse Pareto distributed with scale ( \frac{xmin}{a})^{\frac{1}{b}} and shape b*k.

Returns a named list containing

coefficients: Named vector of coefficients

## Comparing probabilites of power-law transformed transformed variables pinvpareto(3,k=2,xmax=5) coeff = invpareto_plt(xmax=5,k=2,a=5,b=7)$coefficients pinvpareto(5*3^7,k=coeff[["k"]],xmax=coeff[["xmax"]])

pinvpareto(5*0.9^7,k=2,xmax=5) coeff = invpareto_plt(xmax=5,k=2,a=5,b=7, inv=TRUE)$coefficients pinvpareto(0.9,k=coeff[["k"]],xmax=coeff[["xmax"]])

distributionsrd documentation built on July 1, 2020, 10:21 p.m.