selection

this is the sdm1

dm_state_formula(
  recip_matrix = NULL,
  donor_matrix = NULL,
  allocation_score = NULL,
  HLA = NULL,
  graft_number = 1,
  parameter_state_a = 1,
  parameter_state_b = 1,
  parameter_state_c = 1,
  quality = TRUE,
  age = TRUE,
  bloodgroup = TRUE,
  accept_prob = NULL,
  yearly_scale = rep(1, 100)
)

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_state_a	an integer hyperparameter to tune
parameter_state_b	an integer hyperparameter to tune
parameter_state_c	an integer hyperparameter to tune
quality	a boolean value, TRUE/FALSE, quality indicator
age	a boolean value, TRUE/FALSE, age indicator
bloodgroup	a boolean value, TRUE/FALSE, blood group indicator
accept_prob	a numerical value between 0 and 1, acceptence probability
yearly_scale	a vector, yearly scale

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_state_formula(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,TRUE,TRUE,TRUE,accept_prob = NULL, yearly_scale=rep(1, 100));
#> Warning: no non-missing arguments to min; returning Inf