use ingroup instead of addtogroup

gtsam/inference/BayesNet.h

@@ -27,7 +27,7 @@ namespace gtsam {
 
 /**
  * A BayesNet is a tree of conditionals, stored in elimination order.
- * @addtogroup inference
+ * @ingroup inference
  */
 template <class CONDITIONAL>
 class BayesNet : public FactorGraph<CONDITIONAL> {

gtsam/inference/DotWriter.h

@@ -30,7 +30,7 @@ namespace gtsam {
 
 /**
  * @brief DotWriter is a helper class for writing graphviz .dot files.
- * @addtogroup inference
+ * @ingroup inference
  */
 struct GTSAM_EXPORT DotWriter {
   double figureWidthInches;   ///< The figure width on paper in inches

gtsam/linear/GaussianBayesNet.h

@@ -30,7 +30,7 @@ namespace gtsam {
 
   /** 
    * GaussianBayesNet is a Bayes net made from linear-Gaussian conditionals.
-   * @addtogroup linear
+   * @ingroup linear
    */
   class GTSAM_EXPORT GaussianBayesNet: public BayesNet<GaussianConditional>
   {

gtsam/linear/GaussianConditional.h

@@ -35,7 +35,7 @@ namespace gtsam {
   * A GaussianConditional functions as the node in a Bayes network.
   * It has a set of parents y,z, etc. and implements a probability density on x.
   * The negative log-probability is given by \f$ \frac{1}{2} |Rx - (d - Sy - Tz - ...)|^2 \f$
-  * @addtogroup linear
+  * @ingroup linear
   */
   class GTSAM_EXPORT GaussianConditional :
     public JacobianFactor,

gtsam/linear/GaussianDensity.h

@@ -27,7 +27,7 @@ namespace gtsam {
   * A GaussianDensity is a GaussianConditional without parents.
   * The negative log-probability is given by \f$ |Rx - d|^2 \f$
   * with \f$ \Lambda = \Sigma^{-1} = R^T R \f$ and \f$ \mu = R^{-1} d \f$
-  * @addtogroup linear
+  * @ingroup linear
   */
   class GTSAM_EXPORT GaussianDensity : public GaussianConditional {
 

gtsam/linear/VectorValues.h

@@ -69,7 +69,7 @@ namespace gtsam {
    * which is a view on the underlying data structure.
    *
    * This class is additionally used in gradient descent and dog leg to store the gradient.
-   * @addtogroup linear
+   * @ingroup linear
    */
   class GTSAM_EXPORT VectorValues {
    protected:

gtsam/symbolic/SymbolicBayesNet.h

@@ -27,7 +27,7 @@ namespace gtsam {
 
   /** 
    * A SymbolicBayesNet is a Bayes Net of purely symbolic conditionals.
-   * @addtogroup symbolic
+   * @ingroup symbolic
    */
   class SymbolicBayesNet : public BayesNet<SymbolicConditional> {
    public: