Runs several time the function donor_recipient_pairs() as bootstrap.

Generic function that runs the matchability between all combinations of donors and candidates. Runs an arbitrary number of times (iteration.number) to provide statistics.

Usage

several(
  iteration.number = 10,
  df.donors = donors,
  df.candidates = candidates,
  df.abs = cabs,
  algorithm = lima,
  n = 0,
  seed.number = 123,
  check.validity = TRUE,
  ...
)

Arguments

iteration.number: Number of times the matchability runs.
df.donors: A data frame containing demographics and medical information for a pool of donors. For uk algorithm must have their respective columns.
df.candidates: A data frame containing demographics and medical information for a group of waitlisted transplant candidates. For uk algorithm must have respective columns.
df.abs: A data frame with candidates' antibodies.
algorithm: The name of the function to use. Valid options are: lima, et, pts, uk (without quotation)
n: A positive integer to slice the first candidates.
seed.number: Seed for new random number. seed.number can be NA in which case no seed is applied.
check.validity: Logical to decide whether to validate input.
...: all the parameters used on the function algorithm

Value

Overall statistics obtained from all runs.

Examples

# \donttest{
several(iteration.number = 10,
df.donors = donors,
df.candidates = candidates,
df.abs = cabs,
algorithm = lima,
n = 0,
seed.number = 123,
check.validity = TRUE)
#> # A tibble: 10 × 15
#>    it    data     age_avg mmHLA_avg mmHLA0_n mmHLA1_n mmHLA2_n mmHLA3_n mmHLA4_n
#>    <chr> <list>     <dbl>     <dbl>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>
#>  1 1     <tibble>    48.4      3.39        1        7       16       56       37
#>  2 2     <tibble>    48.1      3.34        0        6       26       51       32
#>  3 3     <tibble>    48.2      3.41        0        5       18       63       31
#>  4 4     <tibble>    48.2      3.4         0        3       19       61       35
#>  5 5     <tibble>    48.3      3.38        1        5       21       56       32
#>  6 6     <tibble>    48.8      3.27        1        5       26       57       29
#>  7 7     <tibble>    49.1      3.3         0        6       25       58       29
#>  8 8     <tibble>    48.4      3.34        0        4       22       65       28
#>  9 9     <tibble>    48.6      3.33        0        7       21       58       30
#> 10 10    <tibble>    48.3      3.36        0        6       20       58       36
#> # ℹ 6 more variables: mmHLA5_n <dbl>, mmHLA6_n <dbl>, dialysis_avg <dbl>,
#> #   cPRA_avg <dbl>, HI_n <dbl>, SP_n <dbl>
# }