confint.SDALGCP: Confidence Intervals for SDALGCP Model Parameters

Description Usage Arguments Value Author(s) See Also

View source: R/dm_functions.R

Description

Computes confidence intervals for one or more parameters in a fitted SDALGCP model from the object of class "SDALGCP", based on asymptotic normality.

Usage

1
2
## S3 method for class 'SDALGCP'
confint(object, parm, level = 0.95, dp = 3, ...)

Arguments

object

an object of class "SDALGCP" obtained as result of a call to SDALGCPMCML.

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.

dp

the number of decimal places for the result

...

additional argument(s) for methods.

Value

A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1-level)/2 and 1 - (1-level)/2 in

Author(s)

Olatunji O. Johnson o.johnson@lancaster.ac.uk

Emanuele Giorgi e.giorgi@lancaster.ac.uk

Peter J. Diggle p.diggle@lancaster.ac.uk

See Also

confint.lm, confint.default, SDALGCPMCML


SDALGCP documentation built on March 17, 2021, 1:07 a.m.