Fix link to index.html in vignettes

vignettes/basic_data_cleaning.Rmd

@@ -39,7 +39,7 @@ We want to highlight that additional data cleaning and filtering steps (e.g., sp
 
 ## Getting ready
 
-If `kuenm` has not been installed yet, please do so. See the [Main guide](../index.html) for installation instructions.
+If `kuenm` has not been installed yet, please do so. See the [Main guide](index.html) for installation instructions.
 
 Load `kuenm` and any other required packages, and define a working directory (if needed). In general, setting a working directory in R is considered good practice, as it provides better control over where files are read from or saved to. If users are not working within an R project, we recommend setting a working directory, since at least one file will be saved at later stages of this guide.
 

vignettes/model_calibration.Rmd

@@ -39,7 +39,7 @@ Model calibration is one of the most computationally intensive processes automat
 
 ## Getting ready
 
-At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](../index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
+At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
 
 Note: functions from other packages (i.e., not from base R or `kuenm2`) used in this guide will be displayed as `package::function()`. 
 

vignettes/model_exploration.Rmd

@@ -39,7 +39,7 @@ After the best performing models have been selected, users need to fit this mode
 
 # Getting ready
 
-At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](../index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
+At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
 
 Note: functions from other packages (i.e., not from base R or `kuenm2`) used in this guide will be displayed as `package::function()`. 
 

vignettes/model_predictions.Rmd

@@ -42,7 +42,7 @@ Once selected models have been fit and explored, projections to single or multip
 
 # Getting ready
 
-At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](../index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
+At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
 
 Note: functions from other packages (i.e., not from base R or `kuenm2`) used in this guide will be displayed as `package::function()`. 
 

vignettes/model_projections.Rmd

@@ -45,7 +45,7 @@ Once selected models have been fit and explored, projections to single or multip
 
 # Getting ready
 
-At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](../index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
+At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
 
 Note: functions from other packages (i.e., not from base R or `kuenm2`) used in this guide will be displayed as `package::function()`. 
 

vignettes/prepare_data.Rmd

@@ -51,7 +51,7 @@ Before starting the ENM process, data must be formatted in a specific structure
 
 # Getting ready
 
-If `kuenm2`  has not been installed yet, please do so. See the [Main guide](../index.html) for installation instructions. See also the [basic data cleaning guide](basic_data_cleaning.html) for some data cleaning steps.
+If `kuenm2`  has not been installed yet, please do so. See the [Main guide](index.html) for installation instructions. See also the [basic data cleaning guide](basic_data_cleaning.html) for some data cleaning steps.
 
 Use the following lines of code to load `kuenm2`  and any other required packages, and define a working directory (if needed). In general, setting a working directory in R is considered good practice, as it provides better control over where files are read from or saved to. If users are not working within an R project, we recommend setting a working directory, since at least one file will be saved at later stages of this guide.
 

vignettes/projections_chelsa.Rmd

@@ -52,7 +52,7 @@ Organizing information this way can be a little tedious, but here we will show h
 
 # Getting ready
 
-At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](../index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
+At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
 
 Note: functions from other packages (i.e., not from base R or `kuenm2`) used in this guide will be displayed as `package::function()`. 
 
@@ -451,7 +451,7 @@ fs::dir_tree(out_dir)
 
 After organizing variables, the next step is to create the `prepared_projection` object.
 
-But before this, let's import a `fitted_model` object provided as example data in `kuenm2`. This object was created in a process that used current variables from CHELSA. For more information check the vignettes about [data preparation](prepare_data.html), [model calibration](model_calibration) and [model exploration](model_exploration.html). 
+But before this, let's import a `fitted_model` object provided as example data in `kuenm2`. This object was created in a process that used current variables from CHELSA. For more information check the vignettes about [data preparation](prepare_data.html), [model calibration](model_calibration.html) and [model exploration](model_exploration.html). 
 
 ```{r create fitted models with CHELSA, eval=FALSE, include=FALSE}
 d_chelsa <- prepare_data(algorithm = "maxnet", occ = occ_data, x = "x", y = "y",

vignettes/variability_and_uncertainty.Rmd

@@ -50,7 +50,7 @@ knitr::opts_chunk$set(
 
 # Getting ready
 
-At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](../index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
+At this point it is assumed that `kuenm2` is installed (if not, see the [Main guide](index.html)). Load `kuenm2` and any other required packages, and define a working directory (if needed). 
 
 Note: functions from other packages (i.e., not from base R or `kuenm2`) used in this guide will be displayed as `package::function()`.