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To save computation time it should be possible to have multiple event columns (e.g. AEs, PD) in the input data and get under-over reporting probabilities for each of them.
the user needs to provide a vector with the column names in addition to the input data frame
it should work for the following inputs:
aerep <-simaerep(
tbl_visit,
r =**r / tbl_r # needs to work for in database and in memory**,
inframe = TRUE,
visit_med75 = **FALSE/TRUE**,
mult_corr = **FALSE/TRUE**
)
running simaerep for multiple event columns should be faster than running simaerep multiple times for one column
The text was updated successfully, but these errors were encountered:
To save computation time it should be possible to have multiple event columns (e.g. AEs, PD) in the input data and get under-over reporting probabilities for each of them.
the user needs to provide a vector with the column names in addition to the input data frame
it should work for the following inputs:
running simaerep for multiple event columns should be faster than running simaerep multiple times for one column
The text was updated successfully, but these errors were encountered: