s_date_FPR: Make false positive rate (FPR) design matrix for dates with R...

In zhenkewu/baker: "Nested Partially Latent Class Models"

Make false positive rate (FPR) design matrix for dates with R format.

Description

s_date_FPR creates design matrices for FPR regressions;

Usage

s_date_FPR(Rdate, Y, basis = "ps", dof = 10, ...)

Arguments

Rdate	a vector of dates of R format
Y	Binary case/control status; 1 for case; 0 for controls
basis	"ps" for penalized-splines based on B-spline basis functions
dof	Degree-of-freedom for the bases.For "ps" basis, the number of columns is dof if intercept=TRUE; dof-1 if FALSE.
...	Other arguments as in splines::bs()

Value

Design matrix for FPR regression, with cases' rows on top of controls'.

See Also

nplcm()

Examples

data(data_nplcm_reg_nest)
s_date_FPR(data_nplcm_reg_nest$X$DATE,data_nplcm_reg_nest$Y,basis='ps',dof=7)

zhenkewu/baker documentation built on May 6, 2024, 11:19 p.m.