qrLogLik: Log Likelihood for Fitting Cdfquantile Distributions

In cdfquantreg: Quantile Regression for Random Variables on the Unit Interval

Log Likelihood for Fitting Cdfquantile Distributions

Description

Function to give the (negative) log likelihood for fitting cdfquantile distributions.

Usage

qrLogLik(y, mu, sigma, fd, sd, total = TRUE)

Arguments

y	the vector to be evaluated.
mu	mean of the distribution.
sigma	sigma of the distribution.
fd	A string that specifies the parent distribution.
sd	A string that specifies the sub-family distribution.
total	whether the sum of logliklihood is calculated

Value

The negative log likelihood for fitting the data with a cdfquantile distribution.

Examples

y <- rbeta(20, 0.5, 0.5)
qrLogLik(y, mu = 0.5, sigma = 1, 't2','t2')

cdfquantreg documentation built on Sept. 3, 2023, 9:06 a.m.