use parameters to tidy up meta-analysis results

[IndrajeetPatil]

library(metafor)
#> Loading required package: Matrix
#> Loading 'metafor' package (version 2.1-0). For an overview 
#> and introduction to the package please type: help(metafor).
library(ggstatsplot)
#> Registered S3 method overwritten by 'broom.mixed':
#>   method      from 
#>   tidy.gamlss broom
#> Registered S3 methods overwritten by 'car':
#>   method                          from
#>   influence.merMod                lme4
#>   cooks.distance.influence.merMod lme4
#>   dfbeta.influence.merMod         lme4
#>   dfbetas.influence.merMod        lme4

### calculate log risk ratios and corresponding sampling variances
dat <- escalc(measure="RR", ai=tpos, bi=tneg, ci=cpos, di=cneg, data=dat.bcg)

### random-effects model, using log risk ratios and variances as input
### note: method="REML" is the default, so one could leave this out
x <- rma(yi, vi, data=dat, method="REML")

# setup
ggstatsplot:::parameters_tidy(x) %>%
  dplyr::filter(., !grepl(x = term, pattern = "Study", ignore.case = TRUE))

#> # A tibble: 1 x 8
#>   term        estimate std.error conf.low conf.high statistic   p.value weight
#>   <chr>          <dbl>     <dbl>    <dbl>     <dbl>     <dbl>     <dbl>  <dbl>
#> 1 (Intercept)   -0.715     0.180    -1.07    -0.362     -3.97 0.0000705     NA

[IndrajeetPatil]

Use broomExtra::tidy_parameters instead. But this has to wait until broom devel makes it to CRAN, which might not happen any time soon.

[IndrajeetPatil]

Also, for metaplus
easystats/parameters#266