forestsearch (version 0.1.0)

evaluate_subgroup_consistency: Evaluate Single Subgroup for Consistency (Fixed-Sample)

Description

Evaluates a single subgroup for consistency across random splits using a fixed number of splits.

Usage

evaluate_subgroup_consistency(
  m,
  index.Z,
  names.Z,
  df,
  found.hrs,
  n.splits,
  hr.consistency,
  pconsistency.threshold,
  pconsistency.digits = 2,
  maxk,
  confs_labels,
  details = FALSE
)

Value

Named numeric vector with consistency results, or NULL if criteria not met.

Arguments

m

Integer. Index of the subgroup to evaluate.

index.Z

Data.table or matrix. Factor indicators for all subgroups.

names.Z

Character vector. Names of factor columns.

df

Data.frame. Original data with Y, Event, Treat, id columns.

found.hrs

Data.table. Subgroup hazard ratio results.

n.splits

Integer. Number of random splits for consistency evaluation.

hr.consistency

Numeric. Minimum HR threshold for consistency.

pconsistency.threshold

Numeric. Minimum proportion of splits meeting consistency.

pconsistency.digits

Integer. Rounding digits for consistency proportion.

maxk

Integer. Maximum number of factors in a subgroup.

confs_labels

Character vector. Labels for confounders.

details

Logical. Print details during execution.