biv.rec.reformat {BivRec} | R Documentation |
This function simulates recurrent event data based on a linear combination of two covariates.
biv.rec.reformat(identifier, xij, yij, c_indicatorY, c_indicatorX, episode, covariates, method, ai, condgx, data)
identifier |
Vector of subject's unique identifier (i). Passed from biv.rec.fit() |
xij |
Vector with the lengths of time spent in event of type X for individual i in episode j. Passed from biv.rec.fit() |
yij |
vector with the lengths of time spent in event of type Y for individual i in episode j. Passed from biv.rec.fit() |
c_indicatorY |
Vector with values of 0 for the last episode for subject i or 1 otherwise. A subject with only one episode will have one 0. Passed from biv.rec.fit() |
c_indicatorX |
Optional vector with values of 0 if the last episode for subject i occurred for event of type X or 1 otherwise. A subject with only one episode could have either one 1 (if he was censored at event Y) or one 0 (if he was censored at event X). Passed from biv.rec.fit() |
episode |
Vector indicating the observation or episode (j) for a subject (i). Passed from biv.rec.fit() |
covariates |
A Matrix of Covariates. Passed from biv.rec.fit() |
method |
A string for method to be used. Passed from biv.rec.fit() |
ai |
Passed from biv.rec.fit() |
condgx |
Passed from biv.rec.fit() |
data |
Passed from biv.rec.fit() |
a biv.rec object ready for fitting.