diff --git a/man/AgnosticWrapper.Rd b/man/AgnosticWrapper.Rd
index c549961..a55ef7c 100644
--- a/man/AgnosticWrapper.Rd
+++ b/man/AgnosticWrapper.Rd
@@ -18,7 +18,7 @@ are available (all are wrapped by other packages):
 }
 }
 \section{Super class}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{AgnosticWrapper}
+\code{innsight::InterpretingMethod} -> \code{AgnosticWrapper}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
@@ -84,16 +84,16 @@ specified.\cr}
 The individual instances to be explained by the method.
 These must have the same format as the input data of the passed model
 and has to be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}. If no value is specified, all instances in the
+\code{\link[torch]{torch_tensor}}. If no value is specified, all instances in the
 dataset \code{data} will be explained.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
-\item{\code{data_ref}}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link{torch_tensor}})\cr
+\item{\code{data_ref}}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link[torch]{torch_tensor}})\cr
 The dataset to which the method is to be applied. These must
 have the same format as the input data of the passed model and has to
 be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}.\cr
+\code{\link[torch]{torch_tensor}}.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
diff --git a/man/ConnectionWeights.Rd b/man/ConnectionWeights.Rd
index 834c6c4..508184f 100644
--- a/man/ConnectionWeights.Rd
+++ b/man/ConnectionWeights.Rd
@@ -156,7 +156,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super class}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{ConnectionWeights}
+\code{innsight::InterpretingMethod} -> \code{ConnectionWeights}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
@@ -215,7 +215,7 @@ An instance of the \code{Converter} class that includes the
 torch-converted model and some other model-specific attributes. See
 \code{\link{Converter}} for details.\cr}
 
-\item{\code{data}}{(\code{\link{array}}, \code{\link{data.frame}}, \code{\link{torch_tensor}} or \code{list})\cr
+\item{\code{data}}{(\code{\link{array}}, \code{\link{data.frame}}, \code{\link[torch]{torch_tensor}} or \code{list})\cr
 The data to which the method is to be applied. These must
 have the same format as the input data of the passed model to the
 converter object. This means either
diff --git a/man/DeepLift.Rd b/man/DeepLift.Rd
index b096dbf..1ec9213 100644
--- a/man/DeepLift.Rd
+++ b/man/DeepLift.Rd
@@ -157,7 +157,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super class}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{DeepLift}
+\code{innsight::InterpretingMethod} -> \code{DeepLift}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/DeepSHAP.Rd b/man/DeepSHAP.Rd
index c3273b1..331fc5f 100644
--- a/man/DeepSHAP.Rd
+++ b/man/DeepSHAP.Rd
@@ -152,7 +152,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super class}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{DeepSHAP}
+\code{innsight::InterpretingMethod} -> \code{DeepSHAP}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/ExpectedGradient.Rd b/man/ExpectedGradient.Rd
index ec06011..f15c729 100644
--- a/man/ExpectedGradient.Rd
+++ b/man/ExpectedGradient.Rd
@@ -155,7 +155,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super classes}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{\link[innsight:GradientBased]{innsight::GradientBased}} -> \code{ExpectedGradient}
+\code{innsight::InterpretingMethod} -> \code{innsight::GradientBased} -> \code{ExpectedGradient}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/Gradient.Rd b/man/Gradient.Rd
index 5e8fbab..41f7320 100644
--- a/man/Gradient.Rd
+++ b/man/Gradient.Rd
@@ -154,7 +154,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super classes}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{\link[innsight:GradientBased]{innsight::GradientBased}} -> \code{Gradient}
+\code{innsight::InterpretingMethod} -> \code{innsight::GradientBased} -> \code{Gradient}
 }
 \section{Methods}{
 \subsection{Public methods}{
diff --git a/man/GradientBased.Rd b/man/GradientBased.Rd
index 995e640..2204462 100644
--- a/man/GradientBased.Rd
+++ b/man/GradientBased.Rd
@@ -16,7 +16,7 @@ gradients w.r.t. to the input for given data. Implemented are:
 }
 }
 \section{Super class}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{GradientBased}
+\code{innsight::InterpretingMethod} -> \code{GradientBased}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/IntegratedGradient.Rd b/man/IntegratedGradient.Rd
index 0c7f2c8..662e957 100644
--- a/man/IntegratedGradient.Rd
+++ b/man/IntegratedGradient.Rd
@@ -159,7 +159,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super classes}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{\link[innsight:GradientBased]{innsight::GradientBased}} -> \code{IntegratedGradient}
+\code{innsight::InterpretingMethod} -> \code{innsight::GradientBased} -> \code{IntegratedGradient}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/LIME.Rd b/man/LIME.Rd
index f331d71..02e64c9 100644
--- a/man/LIME.Rd
+++ b/man/LIME.Rd
@@ -131,7 +131,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super classes}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{\link[innsight:AgnosticWrapper]{innsight::AgnosticWrapper}} -> \code{LIME}
+\code{innsight::InterpretingMethod} -> \code{innsight::AgnosticWrapper} -> \code{LIME}
 }
 \section{Methods}{
 \subsection{Public methods}{
@@ -192,16 +192,16 @@ specified.\cr}
 The individual instances to be explained by the method.
 These must have the same format as the input data of the passed model
 and has to be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}. If no value is specified, all instances in the
+\code{\link[torch]{torch_tensor}}. If no value is specified, all instances in the
 dataset \code{data} will be explained.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
-\item{\code{data_ref}}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link{torch_tensor}})\cr
+\item{\code{data_ref}}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link[torch]{torch_tensor}})\cr
 The dataset to which the method is to be applied. These must
 have the same format as the input data of the passed model and has to
 be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}.\cr
+\code{\link[torch]{torch_tensor}}.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
diff --git a/man/LRP.Rd b/man/LRP.Rd
index f7f9093..0dd6f45 100644
--- a/man/LRP.Rd
+++ b/man/LRP.Rd
@@ -170,7 +170,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super class}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{LRP}
+\code{innsight::InterpretingMethod} -> \code{LRP}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/SHAP.Rd b/man/SHAP.Rd
index 67dbb3d..8428e1c 100644
--- a/man/SHAP.Rd
+++ b/man/SHAP.Rd
@@ -126,7 +126,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super classes}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{\link[innsight:AgnosticWrapper]{innsight::AgnosticWrapper}} -> \code{SHAP}
+\code{innsight::InterpretingMethod} -> \code{innsight::AgnosticWrapper} -> \code{SHAP}
 }
 \section{Methods}{
 \subsection{Public methods}{
@@ -186,16 +186,16 @@ specified.\cr}
 The individual instances to be explained by the method.
 These must have the same format as the input data of the passed model
 and has to be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}. If no value is specified, all instances in the
+\code{\link[torch]{torch_tensor}}. If no value is specified, all instances in the
 dataset \code{data} will be explained.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
-\item{\code{data_ref}}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link{torch_tensor}})\cr
+\item{\code{data_ref}}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link[torch]{torch_tensor}})\cr
 The dataset to which the method is to be applied. These must
 have the same format as the input data of the passed model and has to
 be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}.\cr
+\code{\link[torch]{torch_tensor}}.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
diff --git a/man/SmoothGrad.Rd b/man/SmoothGrad.Rd
index 8ca6d48..62b33f9 100644
--- a/man/SmoothGrad.Rd
+++ b/man/SmoothGrad.Rd
@@ -150,7 +150,7 @@ Other methods:
 }
 \concept{methods}
 \section{Super classes}{
-\code{\link[innsight:InterpretingMethod]{innsight::InterpretingMethod}} -> \code{\link[innsight:GradientBased]{innsight::GradientBased}} -> \code{SmoothGrad}
+\code{innsight::InterpretingMethod} -> \code{innsight::GradientBased} -> \code{SmoothGrad}
 }
 \section{Public fields}{
 \if{html}{\out{<div class="r6-fields">}}
diff --git a/man/innsight_sugar.Rd b/man/innsight_sugar.Rd
index 8d3bff1..1d8c784 100644
--- a/man/innsight_sugar.Rd
+++ b/man/innsight_sugar.Rd
@@ -88,11 +88,11 @@ upper point) for each of the input layers.
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 
-\item{data_ref}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link{torch_tensor}})\cr
+\item{data_ref}{(\code{\link{array}}, \code{\link{data.frame}} or \code{\link[torch]{torch_tensor}})\cr
 The dataset to which the method is to be applied. These must
 have the same format as the input data of the passed model and has to
 be either \code{\link{matrix}}, an \code{\link{array}}, a \code{\link{data.frame}} or a
-\code{\link{torch_tensor}}.\cr
+\code{\link[torch]{torch_tensor}}.\cr
 \strong{Note:} For the model-agnostic methods, only models with a single
 input and output layer is allowed!\cr}
 }