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The Package provides number of functions for replication of studies
All the tests are outdated and should be expanded and re-written
Currently treat_only
, stars
and round_digits
are arguments for usefulr::analyses()
which does not make sense, since the function is mainly for estimation. Consider moving this functionality and all output formatting to usefulr::table_fun()
This most likely will mean that the following chunk should be moved to usefulr::table_fun()
out <-
dplyr::mutate(estout,
printout =
ifelse(is.nan(estimate), "-- [--]",
paste0(fround(estimate, digits = round_digits),
ifelse(stars, add_stars(p.value), ""),
" [", fround(std.error, digits = round_digits), "]")),
estimate =
round(estimate, digits = 3), std.error = round(std.error,
digits = round_digits),
p.value = round(p.value, digits = round_digits))
out <- dplyr::select(.data = out,
term, estimate, std.error,
printout, p.value)
Not sure is the function naming is very systematic. In particular I don't like
table_fun()
clusterboot_mfx()
vcov_cluster()
ocme_mod()
Currently robust = TRUE
in combination with cluster = NULL
is only supported for model = "lm"
in usefulr::analyses()
. Given how much Stata-people like , robust
, should probably extend this to other models.
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