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extract.lm_robust

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


estimatr

Fast Estimators for Design-Based Inference

v0.30.2
MIT + file LICENSE
Authors
Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Luke Sonnet [aut], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb]
Initial release

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