fix link in readme

README.Rmd

@@ -117,4 +117,4 @@ xst = x$transpose()
 xst
 ```
 
-Further documentation can be found in the [mlr3book](https://mlr3book.mlr-org.com/05-pipelines.html).
+Further documentation can be found in the [mlr3book](https://mlr3book.mlr-org.com/pipelines.html).

README.md

@@ -1,7 +1,7 @@
 
 # paradox
 
-Package website: [release](https://paradox.mlr-org.com/) |
+Package website: [release](https://paradox.mlr-org.com/) \|
 [dev](https://paradox.mlr-org.com/dev/)
 
 Universal Parameter Space Description and Tools.
@@ -25,13 +25,11 @@ remotes::install_github("mlr-org/paradox")
 
 Create a simple ParamSet using all supported Parameter Types:
 
-  - integer numbers (`"int"`)
-  - real-valued numbers (`"dbl"`)
-  - truth values `TRUE` or `FALSE` (`"lgl"`)
-  - categorical values from a set of possible strings (`"fct"`)
-  - further types are only possible by using transformations.
-
-<!-- end list -->
+- integer numbers (`"int"`)
+- real-valued numbers (`"dbl"`)
+- truth values `TRUE` or `FALSE` (`"lgl"`)
+- categorical values from a set of possible strings (`"fct"`)
+- further types are only possible by using transformations.
 
 ``` r
 ps = ParamSet$new(
@@ -136,17 +134,12 @@ ps$assert(list(z = -1, x = 1))
 
 Transformations are functions with a fixed signature.
 
-  - `x` A named list of parameter values
-  - `param_set` the `ParamSet` used to create the design
+- `x` A named list of parameter values
+- `param_set` the `ParamSet` used to create the design
 
 Transformations can be used to change the distributions of sampled
-parameters. For example, to sample values between
-![2^-3](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;2%5E-3
-"2^-3") and
-![2^3](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;2%5E3
-"2^3") in a
-![log\_2](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;log_2
-"log_2")-uniform distribution, one can sample uniformly between -3 and 3
+parameters. For example, to sample values between $2^-3$ and $2^3$ in a
+$log_2$-uniform distribution, one can sample uniformly between -3 and 3
 and exponentiate the random value inside the transformation.
 
 ``` r
@@ -181,4 +174,4 @@ xst
 ```
 
 Further documentation can be found in the
-[mlr3book](https://mlr3book.mlr-org.com/05-pipelines.html).
+[mlr3book](https://mlr3book.mlr-org.com/pipelines.html).