Niels Dunnewind

Incorrect bs_base_colors() error messages

1

I think these error messages should be swapped. ```r bslib:::bs_base_colors(bslib::bs_theme(), bg = "white") ``` ``` Error in bslib:::bs_base_colors(bslib::bs_theme(), bg = "white") : Cannot specify fg without bg. ``` ```r bslib:::bs_base_colors(bslib::bs_theme(),...

Bug Report: `add_glance_*()` functions break if log-likelihood is not a numeric value

1

Some `glance()` methods return the log-likelihood as a `logLik` object instead of a numeric value. This breaks the `add_glance_table()` and `add_glance_source_note()` methods. ``` r quine.nb1 ! Can't combine `null.deviance` and...

`arg_match()` error message only mentions the first element of `arg`

2

If `arg` in `arg_match()` is a character vector with more than one element (and is not a permuted version of `values`) the error message only mentions the first element. This...

This `@seealso` refers to itself since #1343.

Baseline risk meta-regression

4

Hi @dmphillippo. As discussed some time ago, this is an initial implementation of baseline risk meta-regression. It's not ready to be merged yet, but I first wanted to ask if...

Just trying to make the Stan code more readable by eliminating some duplicated code.

Common class interactions without specified treatment classes

1

Hi @dmphillippo. According to Dias 2018[^1] (page 239-240), in a meta-regression model with a common interaction "there is a single interaction term b that applies to relative effects of all...

When trying to subset `.env` outside of a data mask context, the error message suggests you incorrectly used `.data`. ``` r library(rlang) .env$x #> Error: #> ! Can't subset `.data`...

These errors will never be raised: `rlang::arg_match()` will always return a single string (or raise an error), and dplyr 1.0.0 is already the minimal version in the `DESCRIPTION`.

Weight column not removed by `uncount()` when using `.data` pronoun

1

I expected the `weights` column to be removed when using the `.data` pronoun in `uncount()`. ``` r df # A tibble: 3 × 1 #> x #> #> 1 a...