📄 Render README.Rmd

README.md

@@ -52,9 +52,9 @@ conda install -c conda-forge r-mikropml
 
 ### Dependencies
 
--   Imports: caret, dplyr, e1071, glmnet, kernlab, MLmetrics,
+  - Imports: caret, dplyr, e1071, glmnet, kernlab, MLmetrics,
     randomForest, rlang, rpart, stats, utils, xgboost
--   Suggests: doFuture, foreach, future, future.apply, ggplot2, knitr,
+  - Suggests: doFuture, foreach, future, future.apply, ggplot2, knitr,
     progress, progressr, purrr, rmarkdown, testthat, tidyr
 
 ## Usage
@@ -100,27 +100,29 @@ license](https://creativecommons.org/licenses/by/4.0/).
 
 ## Citation
 
+``` 
 
-    To cite mikRopML in publications, use:
+To cite mikRopML in publications, use:
 
-      Topçuoğlu et al., (2021). mikropml: User-Friendly R Package for
-      Supervised Machine Learning Pipelines. Journal of Open Source
-      Software, 6(61), 3073, https://doi.org/10.21105/joss.03073
+  Topçuoğlu et al., (2021). mikropml: User-Friendly R Package for
+  Supervised Machine Learning Pipelines. Journal of Open Source
+  Software, 6(61), 3073, https://doi.org/10.21105/joss.03073
 
-    A BibTeX entry for LaTeX users is
+A BibTeX entry for LaTeX users is
 
-      @Article{,
-        title = {{mikropml}: User-Friendly R Package for Supervised Machine Learning Pipelines},
-        author = {Begüm D. Topçuoğlu and Zena Lapp and Kelly L. Sovacool and Evan Snitkin and Jenna Wiens and Patrick D. Schloss},
-        journal = {Journal of Open Source Software},
-        year = {2021},
-        month = {May},
-        volume = {6},
-        number = {61},
-        pages = {3073},
-        doi = {10.21105/joss.03073},
-        url = {https://joss.theoj.org/papers/10.21105/joss.03073},
-      }
+  @Article{,
+    title = {{mikropml}: User-Friendly R Package for Supervised Machine Learning Pipelines},
+    author = {Begüm D. Topçuoğlu and Zena Lapp and Kelly L. Sovacool and Evan Snitkin and Jenna Wiens and Patrick D. Schloss},
+    journal = {Journal of Open Source Software},
+    year = {2021},
+    month = {May},
+    volume = {6},
+    number = {61},
+    pages = {3073},
+    doi = {10.21105/joss.03073},
+    url = {https://joss.theoj.org/papers/10.21105/joss.03073},
+  }
+```
 
 ## Why the name?
 
@@ -129,4 +131,4 @@ This package was originally implemented as a machine learning pipeline
 for microbiome-based classification problems (see [Topçuoğlu *et al.*
 2020](https://doi.org/10.1128/mBio.00434-20)). We realized that these
 methods are applicable in many other fields too, but stuck with the name
-because we like it!
+because we like it\!