calculate_gray: Compute Gray's K-sample test

In cifmodeling: Visualization and Polytomous Modeling of Survival and Competing Risks

Compute Gray's K-sample test

Description

Implements the predictable-weight estimating equations and covariance from Gray (1988). The pooled weight is ⁠(1 - F_1(t-))^rho * F_1(t-)^gamma⁠; gamma = 0 recovers the family used by cmprsk::cuminc().

Usage

calculate_gray(
  t,
  epsilon,
  exposure,
  code.exposure.ref = NULL,
  prefix = "a",
  weights = rep.int(1, length(t)),
  strata = rep.int(1L, length(t)),
  data,
  rho = 0,
  gamma = 0,
  prob.bound = 1e-10
)

Details

weights are frequency weights. strata defines independent analysis strata; stratum-specific scores and covariance matrices are summed.

cifmodeling documentation built on Nov. 11, 2026, 9:06 a.m.