selection

this is the sdm2

dm_national_top(
  recip_matrix = NULL,
  donor_matrix = NULL,
  allocation_score = NULL,
  HLA = NULL,
  graft_number = 1,
  parameter_a = 1,
  parameter_b = 1,
  bloodgroup = 1.5,
  age = 1.5,
  parameter_state = 20,
  top_matches = 15
)

Arguments

recip_matrix	a data.frame with recipient features, this is the input recipient matrix
donor_matrix	a data.frame with donor features, this is the input donor matrix
allocation_score	a vector, this is the score for each pair
HLA	a matrix, this is the calculated HLA mismatching counts matrix
graft_number	a numerical value, this is the graft number
parameter_a	an integer hyperparameter to tune
parameter_b	an integer hyperparameter to tune
bloodgroup	a boolean value, TRUE/FALSE, blood group indicator
age	a boolean value, TRUE/FALSE, age indicator
parameter_state	an integer, state parameter
top_matches	an integer, top match parameter

Value

a data.frame with matched recipient

Examples

data("newdata", package = "simKAP")
HLA_matrix <- hla_match(raw_recip_matrix_subset, raw_donor_matrix[1,])

selected <- dm_national_top(raw_recip_matrix_subset,raw_donor_matrix[1,],
allocation_score=allocation_national(raw_recip_matrix_subset,raw_donor_matrix[1,],HLA_matrix),
HLA_matrix,1,1,1,1.5,1.5,20,15);