visit_sum: Create Visit Sum Covariate

Description Usage Arguments Value

View source: R/histories.R

Description

This internal function assists in the implementation of a visit process by creating a covariate, ts_visit, that counts the number of visits in the past max_visits time points. If this number is greater than 0, then the individual has not missed more than the maximum number of visits.

Usage

1
visit_sum(pool, histvars, time_name, t, id_name, max_visits)

Arguments

pool

Data table containing all information prior to time t (t noninclusive).

histvars

Vector of character strings specifying the names of the variables for which lagged cumulative averages are to be created.

time_name

Character string specifying the name of the time variable in pool.

t

Integer specifying the current time index.

id_name

Character string specifying the name of the ID variable in pool.

max_visits

A vector of one or more values denoting the maximum number of times a binary covariate representing a visit process may be missed before the individual is censored from the data (in the observed data) or a visit is forced (in the simulated data). Multiple values exist in the vector when the modeling of more than covariate is attached to a visit process.

Value

No value is returned. The data table pool is modified in place.


gfoRmula documentation built on July 13, 2021, 9:07 a.m.