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Extracts the number of predictors from a GPPM.
nPreds(gpModel)
Number of predictors as numeric.
object of class GPPM.
Other functions to extract from a GPPM: SE(), coef.GPPM(), confint.GPPM(), covFun(), fitted.GPPM(), getData(), getIntern(), logLik.GPPM(), maxNObs(), meanFun(), nObs(), nPars(), nPers(), parEsts(), pars(), preds(), vcov.GPPM()
SE()
coef.GPPM()
confint.GPPM()
covFun()
fitted.GPPM()
getData()
getIntern()
logLik.GPPM()
maxNObs()
meanFun()
nObs()
nPars()
nPers()
parEsts()
pars()
preds()
vcov.GPPM()
# \donttest{ data("demoLGCM") lgcm <- gppm( "muI+muS*t", "varI+covIS*(t+t#)+varS*t*t#+(t==t#)*sigma", demoLGCM, "ID", "y" ) numberPreds <- nPreds(lgcm) # }
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