Update README.md

Author: SchmidtPaul

README.md

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 # MMFAIR - Mixed Models for Agriculture in R 
 [📈🌱 MMFAIR - Mixed Models for Agriculture in R](https://schmidtpaul.github.io/MMFAIR/) can on one hand be seen as the bigger brother [📊🌱 DSFAIR - Data Science for Agriculture in R](https://schmidtpaul.github.io/DSFAIR/), because it deals with more sophisticated analyses. On the other hand, however, it also deals with the limitations of (generalized) linear mixed model analyses in R:
 
-To this day, R has no single go-to package for such analyses. Instead, packages like `nlme`, `lme4`, `glmmTMB` or `sommer` provide the tools to fit some but not all such models. Therefore, our aim is to provide a cookbook with (generalized) linear mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and compare the possibilities or rather limitations of the R-packages to each other, but also to SAS’ `PROC MIXED`.
+To this day, R has no single go-to package for such analyses. Instead, packages like `nlme`, `lme4`, `glmmTMB` or `sommer` provide the tools to fit some but not all such models. Therefore, our aim is to 
+ * provide a cookbook with (generalized) linear mixed model analyses of typical examples in life sciences (focus on agriculture/biology) and 
+ * compare the possibilities or rather limitations of the R-packages to each other, but also to SAS’ `PROC MIXED`.
 
 Where possible, we try to use example data/analyses that have been published in peer-reviewed journals.