MAIVE (version 0.2.4)

compute_AR_CI_optimized: Joint Anderson-Rubin CI computation

Description

Computes AR confidence intervals using a 2D grid search over (b0, b1) with chi^2_2 critical value. For the slope (Egger) coefficient under weak instruments, use method = "slope_only" instead.

Usage

compute_AR_CI_optimized(
  model,
  adjust_fun,
  bs,
  sebs,
  invNs,
  g,
  type_choice,
  weights = NULL,
  method = "joint"
)

Arguments

model

Fitted lm object from second-stage regression

adjust_fun

PET_adjust or PEESE_adjust function

bs

Effect estimates

sebs

Standard errors

invNs

Inverse sample sizes (instrument)

g

Cluster variable

type_choice

CR variance type ("CR0", "CR1", "CR2")

weights

Optional weights for weighted AR

method

"joint" for 2D grid, "slope_only" for subset AR (robust under weak IV)