tpr.test {tpr}R Documentation

Significance and Goodness-of-fit Test of TPR

Description

Two kinds of tests are provided for inference on the coefficients in a fully functional TRP model: integral test and bootstrap test.

Usage

sig.test.int.ff(fit, chypo = 0, idx, weight = TRUE, ncut = 2)
sig.test.boots.ff(fit, chypo = 0, idx, nsim = 1000, plot = FALSE)
gof.test.int.ff(fit, cfitList = NULL, idx, weight = TRUE, ncut = 2)
gof.test.boots.ff(fit, cfitList = NULL, idx, nsim = 1000, plot = FALSE)
gof.test.boots.pf(fit1, fit2, nsim, p = NULL, q = 1)

Arguments

fit a fitted object from tpr
chypo hypothesized value of coefficients
idx the index of the coefficients to be tested
weight whether or not use inverse variation weight
ncut the number of cuts of the interval of interest in integral test
cfitList a list of fitted object from cst.fit.ff
nsim the number of bootstrap samples in bootstrap test
plot whether or not plot
fit1 fit of H0 model (reduced)
fit2 fit of H1 model (full)
p
q

{ the index of the time-independent estimation in fit1 }

Value

Test statistics and their p-values.

Author(s)

Jun Yan jyan@stat.uiowa.edu

References

Fine, Yan, and Kosorok (2004). Temporal Process Regression. Biometrika.

See Also

tpr


[Package tpr version 0.2-4 Index]