This function is a helper function for fit_LOCF_landmark.
fit_LOCF_longitudinal(
data_long,
x_L,
covariates,
covariates_time,
cv_name = NA,
individual_id
)Data frame in long format i.e. there may be more than one row per individual
Numeric specifying the landmark time(s)
Vector of character strings specifying the column names in data_long
which correspond to the covariates
Vector of character strings specifying the column names in data_long
which contain the times at which covariates were recorded. This should either be length 1 or
the same length as covariates. In the latter case the order of elements must correspond to the
order of elements in covariates.
Character string specifying the column name in data_long that indicates cross-validation fold
Character string specifying the column name in data_long which contains the individual identifiers
List containing data_longitudinal, model_longitudinal, and call.
data_longitudinal has one row for each individual in data_long and
contains the LOCF value of covariates at the landmark time x_L.
model_longitudinal indicates that the LOCF approach is used.
call contains the call of the function.
This function extracts the LOCF value for each of the covariates in data_long up to (and including) time x_L.