extract.lm_robust: Extract model data for 'texreg' package

In graemeblair/DDestimate: Fast Estimators for Design-Based Inference

Extract model data for texreg package

Description

Prepares a "lm_robust" or "iv_robust" object for the texreg package. This is largely a clone of the extract.lm method.

Usage

extract.robust_default(
  model,
  include.ci = TRUE,
  include.rsquared = TRUE,
  include.adjrs = TRUE,
  include.nobs = TRUE,
  include.fstatistic = FALSE,
  include.rmse = TRUE,
  include.nclusts = TRUE,
  ...
)

extract.lm_robust(
  model,
  include.ci = TRUE,
  include.rsquared = TRUE,
  include.adjrs = TRUE,
  include.nobs = TRUE,
  include.fstatistic = FALSE,
  include.rmse = TRUE,
  include.nclusts = TRUE,
  ...
)

extract.iv_robust(
  model,
  include.ci = TRUE,
  include.rsquared = TRUE,
  include.adjrs = TRUE,
  include.nobs = TRUE,
  include.fstatistic = FALSE,
  include.rmse = TRUE,
  include.nclusts = TRUE,
  ...
)

Arguments

model	an object of class lm_robust or "iv_robust"
include.ci	logical. Defaults to TRUE
include.rsquared	logical. Defaults to TRUE
include.adjrs	logical. Defaults to TRUE
include.nobs	logical. Defaults to TRUE
include.fstatistic	logical. Defaults to TRUE
include.rmse	logical. Defaults to TRUE
include.nclusts	logical. Defaults to TRUE if clusters in model
...	unused

graemeblair/DDestimate documentation built on Feb. 10, 2025, 1:39 p.m.