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Extract the Log-Likelihood of a Fitted Mortality Law

Source: R/MortalityLaw_S3.R
logLik.MortalityLaw.Rd

Returns the maximised log-likelihood of a "MortalityLaw" fit. It is only defined when the objective was a likelihood, that is when the model was fitted with opt.method = "poissonL" or "binomialL"; for the loss-function objectives the value is NaN. For a multiple fit the log-likelihoods are returned as a named vector.

Usage

# S3 method for class 'MortalityLaw'
logLik(object, ...)

Arguments

object

An object of class "MortalityLaw".

...

Further arguments passed to or from other methods.

Value

An object of class "logLik" for a single fit, or a named numeric vector of log-likelihoods for a multiple fit.

See also

MortalityLaw; AIC.MortalityLaw.

Examples

x  <- 45:75
M1 <- MortalityLaw(x = x, Dx = ahmd$Dx[as.character(x), "1950"],
                   Ex = ahmd$Ex[as.character(x), "1950"],
                   law = "makeham", opt.method = "poissonL")
logLik(M1)
#> 'log Lik.' -578479.4 (df=3)