est_samp {txshift} | R Documentation |
Estimate Probability of Censoring by Two-Phase Sampling
Description
Estimate Probability of Censoring by Two-Phase Sampling
Usage
est_samp(V, C_samp, fit_type = c("sl", "glm"), sl_learners = NULL)
Arguments
V |
A numeric vector, matrix , data.frame or
similar object giving the observed values of the covariates known to
potentially inform the sampling mechanism.
|
C_samp |
A numeric vector of observed values of the indicator
for inclusion in the second-phase sample.
|
fit_type |
A character indicating whether to perform the fit
using GLMs or a Super Learner ensemble model. If use of Super Learner is
desired, then the argument sl_learners must be provided.
|
sl_learners |
An sl3 Lrnr_sl object, a Super Learner
ensemble or learner instantiated externally using sl3.
|
Details
Compute estimates of the sampling probability for inclusion in the
the second-phase via the two-phase sampling mechanism. These estimates are
used for the creation of inverse probability weights.
Value
A numeric
vector of the estimated sampling mechanism.
[Package
txshift version 0.3.8
Index]