composite_plt: Composite coefficients after power-law transformation
In distributionsrd: Distribution Fitting and Evaluation

Coefficients of a power-law transformed composite distribution

1	composite_plt(dist, coeff, a = 1, b = 1, inv = FALSE)

`dist`	character vector denoting the distribution of the first-, second- (and third) component respectively. If only two components are provided, the distribution reduces to the two-component distribution.
`coeff`	named numeric vector holding the coefficients of the first-, second- (and third) component, predeced by coeff1., coeff2. (and coeff3.), respectively. Coefficients for the last component do not have to be provided for the two-component distribution and will be disregarded.
`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.

Returns a named list containing

coefficients: Named vector of coefficients

## Comparing probabilites of power-law transformed transformed variables dist <- c("invpareto", "lnorm", "pareto") coeff <- c(coeff2.meanlog = -0.5, coeff2.sdlog = 0.5, coeff3.k = 1.5, coeff1.k = 1.5)

pcomposite(3,dist=dist,coeff=coeff) newcoeff = composite_plt(dist=dist,coeff=coeff,a=5,b=7)$coefficients pcomposite(5*3^7,dist=dist,coeff=newcoeff)

pcomposite(5*0.9^3,dist=dist,coeff=coeff) newcoeff = composite_plt(dist=dist,coeff=coeff,a=5,b=3,inv=TRUE)$coefficients pcomposite(0.9,dist=dist,coeff=newcoeff)

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