llikF: log likelihood and derivatives for F distribution

In rxode2: Facilities for Simulating from ODE-Based Models

log likelihood and derivatives for F distribution

Description

log likelihood and derivatives for F distribution

Usage

llikF(x, df1, df2, full = FALSE)

Arguments

x	variable that is distributed by f distribution
df1, df2	degrees of freedom. Inf is allowed.
full	Add the data frame showing x, mean, sd as well as the fx and derivatives

Details

In an rxode2() model, you can use llikF() but you have to use the x and rate arguments. You can also get the derivative of df1 and df2 with llikFDdf1() and llikFDdf2().

Value

data frame with fx for the log pdf value of with dDf1 and dDf2 that has the derivatives with respect to the df1/df2 parameters at the observation time-point

Author(s)

Matthew L. Fidler

Examples

x <- seq(0.001, 5, length.out = 100)

llikF(x^2, 1, 5)

model <- function(){
  model({
    fx <- llikF(time, df1, df2)
    dMean <- llikFDdf1(time, df1, df2)
    dSd <- llikFDdf2(time, df1, df2)
  })
}

et <- et(x)
et$df1 <- 1
et$df2 <- 5

rxSolve(model, et)

rxode2 documentation built on Oct. 30, 2024, 9:06 a.m.