update readme

README.Rmd

@@ -21,8 +21,7 @@ library(parameters)
 
 [![DOI](https://joss.theoj.org/papers/10.21105/joss.02445/status.svg)](https://doi.org/10.21105/joss.02445)
 [![downloads](https://cranlogs.r-pkg.org/badges/parameters)](https://cran.r-project.org/package=parameters)
-[![total](https://cranlogs.r-pkg.org/badges/grand-total/parameters)](https://cranlogs.r-pkg.org/) 
-[![status](https://tinyverse.netlify.com/badge/parameters)](https://CRAN.R-project.org/package=parameters)
+[![total](https://cranlogs.r-pkg.org/badges/grand-total/parameters)](https://cranlogs.r-pkg.org/)
 
 ***Describe and understand your model's parameters!***
 
@@ -50,7 +49,7 @@ Development | GitHub | `remotes::install_github("easystats/parameters")`
 
 [![Documentation](https://img.shields.io/badge/documentation-parameters-orange.svg?colorB=E91E63)](https://easystats.github.io/parameters/)
 [![Blog](https://img.shields.io/badge/blog-easystats-orange.svg?colorB=FF9800)](https://easystats.github.io/blog/posts/)
-[![Features](https://img.shields.io/badge/features-parameters-orange.svg?colorB=2196F3)](https://easystats.github.io/parameters/reference/index.html) 
+[![Features](https://img.shields.io/badge/features-parameters-orange.svg?colorB=2196F3)](https://easystats.github.io/parameters/reference/index.html)
 
 Click on the buttons above to access the package [documentation](https://easystats.github.io/parameters/) and the [easystats blog](https://easystats.github.io/blog/posts/), and check-out these vignettes:
 
@@ -70,14 +69,14 @@ In case you want to file an issue or contribute in another way to the package, p
 
 
 # Features
- 
+
 ## Model's parameters description
 
 ```{r echo=FALSE, fig.align='center', dpi=96}
 knitr::include_graphics("man/figures/figure1.png")
 ```
 
-The [`model_parameters()`](https://easystats.github.io/parameters/articles/model_parameters.html) function (that can be accessed via the `parameters()` shortcut) allows you to extract the parameters and their characteristics from various models in a consistent way. It can be considered as a lightweight alternative to [`broom::tidy()`](https://github.com/tidymodels/broom), with some notable differences: 
+The [`model_parameters()`](https://easystats.github.io/parameters/articles/model_parameters.html) function (that can be accessed via the `parameters()` shortcut) allows you to extract the parameters and their characteristics from various models in a consistent way. It can be considered as a lightweight alternative to [`broom::tidy()`](https://github.com/tidymodels/broom), with some notable differences:
 
 - The column names of the returned data frame are *specific* to their content. For instance, the column containing the statistic is named following the statistic name, i.e., *t*, *z*, etc., instead of a generic name such as *statistic* (however, you can get standardized (generic) column names using [`standardize_names()`](https://easystats.github.io/insight/reference/standardize_names.html)).
 - It is able to compute or extract indices not available by default, such as *p-values*, *CIs*, etc.
@@ -148,5 +147,5 @@ citation("parameters")
 ```
 
 ## Code of Conduct
-  
+
 Please note that the parameters project is released with a [Contributor Code of Conduct](https://www.contributor-covenant.org/version/2/1/code_of_conduct/). By contributing to this project, you agree to abide by its terms.

README.md

@@ -4,7 +4,6 @@
 [![DOI](https://joss.theoj.org/papers/10.21105/joss.02445/status.svg)](https://doi.org/10.21105/joss.02445)
 [![downloads](https://cranlogs.r-pkg.org/badges/parameters)](https://cran.r-project.org/package=parameters)
 [![total](https://cranlogs.r-pkg.org/badges/grand-total/parameters)](https://cranlogs.r-pkg.org/)
-[![status](https://tinyverse.netlify.com/badge/parameters)](https://CRAN.R-project.org/package=parameters)
 
 ***Describe and understand your model’s parameters!***
 
@@ -196,15 +195,15 @@ model <- psych::fa(attitude, nfactors = 3)
 model_parameters(model)
 #> # Rotated loadings from Factor Analysis (oblimin-rotation)
 #> 
-#> Variable   |  MR1  |  MR2  |  MR3  | Complexity | Uniqueness
+#> Variable   |   MR1 |   MR2 |   MR3 | Complexity | Uniqueness
 #> ------------------------------------------------------------
-#> rating     | 0.90  | -0.07 | -0.05 |    1.02    |    0.23   
-#> complaints | 0.97  | -0.06 | 0.04  |    1.01    |    0.10   
-#> privileges | 0.44  | 0.25  | -0.05 |    1.64    |    0.65   
-#> learning   | 0.47  | 0.54  | -0.28 |    2.51    |    0.24   
-#> raises     | 0.55  | 0.43  | 0.25  |    2.35    |    0.23   
-#> critical   | 0.16  | 0.17  | 0.48  |    1.46    |    0.67   
-#> advance    | -0.11 | 0.91  | 0.07  |    1.04    |    0.22   
+#> rating     |  0.90 | -0.07 | -0.05 |       1.02 |       0.23
+#> complaints |  0.97 | -0.06 |  0.04 |       1.01 |       0.10
+#> privileges |  0.44 |  0.25 | -0.05 |       1.64 |       0.65
+#> learning   |  0.47 |  0.54 | -0.28 |       2.51 |       0.24
+#> raises     |  0.55 |  0.43 |  0.25 |       2.35 |       0.23
+#> critical   |  0.16 |  0.17 |  0.48 |       1.46 |       0.67
+#> advance    | -0.11 |  0.91 |  0.07 |       1.04 |       0.22
 #> 
 #> The 3 latent factors (oblimin rotation) accounted for 66.60% of the total variance of the original data (MR1 = 38.19%, MR2 = 22.69%, MR3 = 5.72%).
 ```