confint.GPPM: Confidence Intervals

In karchjd/gppm: Gaussian Process Panel Modeling

Description

Computes confidence intervals for one or more parameters in a fitted GPPM.

Usage

## S3 method for class 'GPPM'
confint(object, parm, level = 0.95, ...)

Arguments

object	object of class GPPM. Must be fitted, that is, a result from fit.GPPM.
parm	vector of strings. The parameters for which confidence intervals are desired. If missing, confidence intervals for all parameters are returned.
level	scalar from 0 to 1. The confidence level required.
...	additional arguments (currently not used).

Value

A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labeled as (1-level)/2 and 1 - (1-level)/2 in % (by default 2.5% and 97.5%).

See Also

Other functions to extract from a GPPM: SE, coef.GPPM, covf, datas, fitted.GPPM, getIntern, logLik.GPPM, maxnObs, meanf, nObs, nPars, nPers, nPreds, parEsts, pars, preds, vcov.GPPM

Examples

data("demoLGCM")
lgcm <- gppm('muI+muS*t','varI+covIS*(t+t#)+varS*t*t#+(t==t#)*sigma',
        demoLGCM,'ID','y')
lgcmFit <- fit(lgcm)
confInts <- confint(lgcmFit)

karchjd/gppm documentation built on May 27, 2019, 11:49 p.m.