llikChisq: log likelihood and derivatives for chi-squared distribution

In nlmixr2/rxode2: Facilities for Simulating from ODE-Based Models

log likelihood and derivatives for chi-squared distribution

Description

log likelihood and derivatives for chi-squared distribution

Usage

llikChisq(x, df, full = FALSE)

Arguments

x	variable that is distributed by chi-squared distribution
df	degrees of freedom (non-negative, but can be non-integer).
full	Add the data frame showing x, mean, sd as well as the fx and derivatives

Details

In an rxode2() model, you can use llikChisq() but you have to use the x and df arguments. You can also get the derivative of df with llikChisqDdf().

Value

data frame with fx for the log pdf value of with dDf that has the derivatives with respect to the df parameter the observation time-point

Author(s)

Matthew L. Fidler

Examples

llikChisq(1, df = 1:3, full=TRUE)

llikChisq(1, df = 6:9)

et <- et(1:3)
et$x <- 1

model <- function() {
  model({
   fx <- llikChisq(x, time)
   dDf <- llikChisqDdf(x, time)
  })
}

rxSolve(model, et)

nlmixr2/rxode2 documentation built on Jan. 11, 2025, 8:48 a.m.