llikNorm: Log likelihood for normal distribution

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

Log likelihood for normal distribution

Description

Log likelihood for normal distribution

Usage

llikNorm(x, mean = 0, sd = 1, full = FALSE)

Arguments

x	Observation
mean	Mean for the likelihood
sd	Standard deviation for the likelihood
full	Add the data frame showing x, mean, sd as well as the fx and derivatives

Details

In an rxode2() model, you can use llikNorm() but you have to use all arguments. You can also get the derivatives with llikNormDmean() and llikNormDsd()

Value

data frame with fx for the pdf value of with dMean and dSd that has the derivatives with respect to the parameters at the observation time-point

Author(s)

Matthew L. Fidler

Examples

llikNorm(0)

llikNorm(seq(-2,2,length.out=10), full=TRUE)

# With rxode2 you can use:
 
et <- et(-3, 3, length.out=10)
et$mu <- 0
et$sigma <- 1

model <- function(){
  model({
    fx <- llikNorm(time, mu, sigma)
    dMean <- llikNormDmean(time, mu, sigma)
    dSd <- llikNormDsd(time, mu, sigma)
  })
 }

ret <- rxSolve(model, et)
ret

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