MoTBFs (version 1.4.1)

UpperBoundLogLikelihood: Upper bound of the loglikelihood

Description

Computes an upper bound of the expected loglikelihood of a dataset given a randomly generated MoTBF density.

Usage

UpperBoundLogLikelihood(f, data, min, max)

Arguments

f

A function to evaluate of class "character", "motbf" or others.

data

A "numeric" array which contains the values to evaluate.

min

A "numeric" value giving the lower limit of the domain.

max

A "numeric" value giving the upper limit of the domain.

Value

A "numeric" value which is the log-likelihood of the evaluated ramdom function.

See Also

getNonNormalisedRandomMoTBF

Examples

# NOT RUN {
data <- rnorm(20)
f <- getNonNormalisedRandomMoTBF(degree = 8, POTENTIAL_TYPE = "MOP")
UpperBoundLogLikelihood(f, data, min = -2.5, max = 3.2)

data <- rexp(20)
f <- getNonNormalisedRandomMoTBF(degree = 8, POTENTIAL_TYPE = "MTE")
UpperBoundLogLikelihood(f, data, min = 0, max = 5)

# }