Update readme

README.Rmd

@@ -24,9 +24,10 @@ knitr::opts_chunk$set(
 **ubair** is an R package for Statistical Investigation of the Impact of External Conditions on Air Quality: it uses the statistical software R to analyze and visualize the impact of external factors, such as traffic restrictions, hazards, and political measures, on air quality. It aims to provide experts with a transparent comparison of modeling approaches and to support data-driven evaluations for policy advisory purposes.
 
 ## Installation
-Install via cran or if you have access to 
-[https://gitlab.opencode.de/uba-ki-lab/ubair](https://gitlab.opencode.de/uba-ki-lab/ubair)
-you can use one of the following options:
+#### Recommended option install from [cran](https://cran.r-project.org/web/packages/ubair/index.html)
+run `install.packages("ubair")`
+
+or using this gitlab repository you can use one of the following options:
 
 #### Using an archive file
 Recommended if you do not have git installed.
@@ -41,7 +42,7 @@ Recommended if you do not have git installed.
   - 'Install'
 - alternatively, type in console:
 ```{r install_package_local}
-remotes::install_local("<path-to-zip>/ubair-main.zip")
+install.packages("<path-to-zip>/ubair-main.zip", repos = NULL, type = "source")
 ```
 
 #### Using remote package

README.md

@@ -12,9 +12,11 @@ and to support data-driven evaluations for policy advisory purposes.
 
 ## Installation
 
-Install via cran or if you have access to
-<https://gitlab.opencode.de/uba-ki-lab/ubair> you can use one of the
-following options:
+#### Recommended option install from [cran](https://cran.r-project.org/web/packages/ubair/index.html)
+
+run `install.packages("ubair")`
+
+or using this gitlab repository you can use one of the following options:
 
 #### Using an archive file
 
@@ -31,7 +33,7 @@ Recommended if you do not have git installed.
 - alternatively, type in console:
 
 ``` r
-remotes::install_local("<path-to-zip>/ubair-main.zip")
+install.packages("<path-to-zip>/ubair-main.zip", repos = NULL, type = "source")
 ```
 
 #### Using remote package
@@ -96,7 +98,7 @@ res <- run_counterfactual(split_data,
 )
 ```
 
-    #> [LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000597 seconds.
+    #> [LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.001098 seconds.
     #> You can set `force_row_wise=true` to remove the overhead.
     #> And if memory is not enough, you can set `force_col_wise=true`.
     #> [LightGBM] [Info] Total Bins 1557