tweeDEseq (version 1.18.0)

Methods for objects of class 'mlePT': Methods for objects of class 'mlePT'

Description

print, extract loglikelihood or compute confidence interval for an object of class 'mlePT'.

Usage

"print"(x, digits = 3, ...)
"logLik"(object, ...)
"confint"(object, parm, level = 0.95, ...)

Arguments

x

object of class 'mlePT'.

object

object of class 'mlePT'.

digits

integer scalar giving the number of digits to be rounded the solution.

parm

a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.

level

the confidence level required (default is 0.95).

...

additional arguments.

Value

'logLik' returns the loglikelihood of the selected model.'confint' returns a matrix (or vector) with columns giving lower and upper confidence limits for each parameter.

See Also

mlePoissonTweedie

Examples

# Load and aggregate the 'seizure' database
data(seizure)
aggCounts <- aggregate(x = cbind(seizure$count, seizure$trx), by =
list(seizure$id), FUN = sum)

# Estimate the parameters
mleSeizure <- mlePoissonTweedie(x = aggCounts[,2], a.ini = 0, D.ini =
10)

# Print
mleSeizure

# Extract loglikelihood
logLik(mleSeizure)

# Compute confidence inerval
confint(mleSeizure)