Creates ID variables for each row returned by tpmatrix(). This function is
most conveniently used along with tpmatrix() to construct a
tparams_transprobs() object.
tpmatrix_id(object, n_samples)An object of class expanded_hesim_data returned by
expand.hesim_data(). This dataset must be expanded by treatment
strategies, patients, and optionally time intervals.
The number of parameters samples used for the probabilistic sensitivity analysis (PSA).
Returns a tpmatrix_id object that inherits from data.table with
the same columns in object repeated n_samples times. That is, to facilitate
creation of a tparams_transprobs() object, there is one row for each
parameter sample, treatment strategy, patient, and optionally time interval.
strategies <- data.frame(strategy_id = c(1, 2))
patients <- data.frame(patient_id = seq(1, 3), age = c(65, 50, 75),
gender = c("Female", "Female", "Male"))
hesim_dat <- hesim_data(strategies = strategies,
patients = patients)
input_data <- expand(hesim_dat, by = c("strategies", "patients"))
tpmatrix_id(input_data, n_samples = 2)
#> sample strategy_id patient_id
#> <int> <num> <int>
#> 1: 1 1 1
#> 2: 1 1 2
#> 3: 1 1 3
#> 4: 1 2 1
#> 5: 1 2 2
#> 6: 1 2 3
#> 7: 2 1 1
#> 8: 2 1 2
#> 9: 2 1 3
#> 10: 2 2 1
#> 11: 2 2 2
#> 12: 2 2 3