reg: Stata-style Regression Modelling Function
In leeper/reggie: Stata-like Regression Functionality

Description Usage Arguments Details Value See Also

This is a slim wrapper around various regression modelling functions that simplifies the process of estimating regression equations with various robust variance-covariance estimation procedures. This negates the need for the two-step exercise of summary(lm(...)) to view results. It also supports survey design objects through the same interface. Reversing the typical formula-data argument order to data-argument order makes the function easily usable within a data analysis “pipeline”.

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reg(data, formula, ..., vcov_type = if (is.null(vcov_cluster)) "const" else
  "HC0", vcov_cluster = NULL, boot_iterations = 1000L, digits = 2L,
  signif.stars = FALSE)

`data`	A data frame, or “survey design” object from the survey package.
`formula`	A model formula.
`...`	Additional arguments passed to `glm` or `svyglm`.
`vcov_type`	A character string specifying a variance-covariance estimation procedure. See `vcovHC`.
`vcov_cluster`	If non-`NULL`, a formula specifying a clustering variable to be used for clustered standard errors.
`boot_iterations`	If `vcov_type = "boot"`, an integer specifying the number of bootstrap iterations.
`digits`	An integer specifying the preferred number of digits to use when printing the output (passed to `print.reg`).
`signif.stars`	A logical specifying whether to print significance stars. Passed to `print.reg`.