testStat: Significance test of an additive term

In tvcure: Additive Cure Survival Model with Time-Varying Covariates

Significance test of an additive term

Description

Significance test of an additive term relying on the methodology in Wood (Biometrika 2013). It is extracted from a hidden function in the 'mgcv' package. The additive term is estimated using the product of a matrix <X> and a vector <p>.

Usage

testStat(p, X, V, rank = NULL, type = 0, res.df = -1)

Arguments

p	Vector of spline parameters used to estimate f(x)
X	(Centered) B-spline basis evaluated on a fine regular grid on the support of variable <x>
V	Posterior variance-covariance matrix of parameter <p>
rank	Effective dimension of <p>
type	0 value by default
res.df	-1 indicates that the scale is fixed (cf. ordinal response)

Value

Returns a list with following elements:

• stat : Value of the test statistics

• pval : P-value of the test for the null hypothesis Ho: p=0

• rank : Effective dimension of <p>

tvcure documentation built on April 12, 2025, 1:58 a.m.