make_analyses: Estimation Function
In gerasy1987/usefulr: Various Useful Custom Functions

Estimation Function

make_analyses(
  dv,
  treat,
  covs = NULL,
  heterogenous = NULL,
  FE = NULL,
  IPW = NULL,
  IV_list = NULL,
  cluster = NULL,
  robust = is.null(cluster),
  data,
  subset = NULL,
  estimator,
  estimator_name,
  treat_only = FALSE,
  status = NULL,
  round_digits = 3,
  return_df = FALSE,
  ...
)

`dv`	Dependent variable specified as character.
`treat`	Treatment vector of variables specified as character vector.
`covs`	Character vector of covariates specified as character vector.
`heterogenous`	Character vector of covariates to interact with treatments specified as character vector.
`FE`	Character vector of fixed effects covariates specified as character vector.
`IPW`	Inverse probability weights specified as character vector.
`IV_list`	Character string. Should be a character string which presents valid IV formula as specified in `lfe::felm`.
`cluster`	Covariate for clustered robust standard errors as defined by `multiwayvcov::cluster.vcov` function. Currently only one clustering variable option supported specified as character vector.
`robust`	Logical. Whether to report heteroskedastic robust standard errors. Implemented only for linear models for now.
`data`	Data frame which contains all the relevant variables.
`subset`	character string specifing logical expression for subsetting.
`estimator`	Function that takes all arguments above, `fit_formula` and `frame_df` as arguments and returns a tibble with the following columns: "term" (required), "estimate" (required), "std.error" (optional), "p.value" (required).
`estimator_name`	Character string giving name of the estimator used
`treat_only`	TRUE/FALSE specifying whether only estimates directly related to `treat` should be reported (including heterogeneity variables). Defaults to `FALSE`.
`status`	Logical vector of length 3, specifying whether the model was pre-(R)egistered, run in (S)cript and reported in (P)aper respectively.
`round_digits`	Integer. How many decimal points to round to in the output.
`return_df`	If `TRUE` dataframe used for estimation will be returned.
`...`	Other parameters used in estimate function

List of three objects. estimates is estimates from the model and corresponding standard errors. stat is vector of adjusted R squared and number of observations. model_spec is logical vector of characteristics of the model.

gerasy1987/usefulr documentation built on Aug. 31, 2021, 4:25 p.m.