confint.SDALGCP: Confidence Intervals for SDALGCP Model Parameters

In olatunjijohnson/SDALGCP: Spatially Discrete Approximation to Log-Gaussian Cox Processes for Aggregated Disease Count Data

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

## 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 [e-mail]

Emanuele Giorgi [e-mail]

Peter J. Diggle [e-mail]

See Also

confint.lm, confint.default, SDALGCPMCML

olatunjijohnson/SDALGCP documentation built on March 20, 2021, 4:24 a.m.