confint.GPPM: Confidence Intervals

In gppm: Gaussian Process Panel Modeling

Confidence Intervals

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 \

See Also

Other functions to extract from a GPPM: SE(), coef.GPPM(), covFun(), fitted.GPPM(), getData(), getIntern(), logLik.GPPM(), maxNObs(), meanFun(), 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)

gppm documentation built on Aug. 25, 2025, 9:50 a.m.