Convert {parameters} package output to {tidyverse} conventions — tidy_model

Convert {parameters} package output to {tidyverse} conventions

Usage

tidy_model_parameters(model, ...)

Arguments

model: Statistical Model.
...: Arguments passed to or from other methods. Non-documented arguments are digits, p_digits, ci_digits and footer_digits to set the number of digits for the output. If s_value = TRUE, the p-value will be replaced by the S-value in the output (cf. Rafi and Greenland 2020). pd adds an additional column with the probability of direction (see bayestestR::p_direction() for details). groups can be used to group coefficients. It will be passed to the print-method, or can directly be used in print(), see documentation in print.parameters_model(). Furthermore, see 'Examples' in model_parameters.default(). For developers, whose interest mainly is to get a "tidy" data frame of model summaries, it is recommended to set pretty_names = FALSE to speed up computation of the summary table.

Citation

Patil, I., (2021). statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details. Journal of Open Source Software, 6(61), 3236, https://doi.org/10.21105/joss.03236

Examples

model <- lm(mpg ~ wt + cyl, data = mtcars)
tidy_model_parameters(model)
#> # A tibble: 3 × 10
#>   term       estimate std.error conf.level conf.low conf.high statistic df.error
#>   <chr>         <dbl>     <dbl>      <dbl>    <dbl>     <dbl>     <dbl>    <int>
#> 1 (Intercep…    39.7      1.71        0.95    36.2     43.2       23.1        29
#> 2 wt            -3.19     0.757       0.95    -4.74    -1.64      -4.22       29
#> 3 cyl           -1.51     0.415       0.95    -2.36    -0.660     -3.64       29
#> # ℹ 2 more variables: p.value <dbl>, conf.method <chr>