fix bugs

inst/include/interface/rcpp/rcpp_objects/rcpp_tmb_distribution.hpp

@@ -51,13 +51,7 @@ DistributionsInterfaceBase objects */
    * @param input_type String that sets whether the distribution type is: priors, random_effects, or data.
    * @param ids Vector of unique ids for each linked parameter/s, derived value/s, or observed data vector
    */
-  void set_distribution_links(std::string input_type, Rcpp::IntegerVector ids){
-    this->input_type_m = input_type;
-    this->key_m.resize(ids.size());
-    for(size_t i; i<ids.size(); i++){
-      this->key_m[i] = ids[i];
-    }
-  }
+  virtual void set_distribution_links(std::string input_type, Rcpp::IntegerVector ids);
 
 
   /**
@@ -106,10 +100,24 @@ class DnormDistributionsInterface : public DistributionsInterfaceBase {
    * @param observed_data_id Unique id for the Observed Age Comp Data
    * object
    */
-  void set_observed_data(int observed_data_id) {
+  virtual void set_observed_data(int observed_data_id) {
     this->interface_observed_data_id_m = observed_data_id;
   }
 
+  /**
+   * @brief set_distribution_links sets pointers for data observations, random effects, or priors
+   * 
+   * @param input_type String that sets whether the distribution type is: priors, random_effects, or data.
+   * @param ids Vector of unique ids for each linked parameter/s, derived value/s, or observed data vector
+   */
+  virtual void set_distribution_links(std::string input_type, Rcpp::IntegerVector ids){
+    this->input_type_m = input_type;
+    this->key_m.resize(ids.size());
+    for(size_t i; i<ids.size(); i++){
+      this->key_m[i] = ids[i];
+    }
+  }
+
   /**
    * @brief Evaluate normal probability density function, default returns the
    * log of the pdf
@@ -214,10 +222,24 @@ class DlnormDistributionsInterface : public DistributionsInterfaceBase {
    * @param observed_data_id Unique id for the Observed Age Comp Data
    * object
    */
-  void set_observed_data(int observed_data_id) {
+  virtual void set_observed_data(int observed_data_id) {
     this->interface_observed_data_id_m = observed_data_id;
   }
 
+  /**
+   * @brief set_distribution_links sets pointers for data observations, random effects, or priors
+   * 
+   * @param input_type String that sets whether the distribution type is: priors, random_effects, or data.
+   * @param ids Vector of unique ids for each linked parameter/s, derived value/s, or observed data vector
+   */
+  virtual void set_distribution_links(std::string input_type, Rcpp::IntegerVector ids){
+    this->input_type_m = input_type;
+    this->key_m.resize(ids.size());
+    for(size_t i; i<ids.size(); i++){
+      this->key_m[i] = ids[i];
+    }
+  }   
+
   /**
    * @brief Evaluate lognormal probability density function, default returns the
    * log of the pdf
@@ -319,10 +341,24 @@ class DmultinomDistributionsInterface : public DistributionsInterfaceBase {
    * @param observed_data_id Unique id for the Observed Age Comp Data
    * object
    */
-  void set_observed_data(int observed_data_id) {
+  virtual void set_observed_data(int observed_data_id) {
     this->interface_observed_data_id_m = observed_data_id;
   }
 
+  /**
+   * @brief set_distribution_links sets pointers for data observations, random effects, or priors
+   * 
+   * @param input_type String that sets whether the distribution type is: priors, random_effects, or data.
+   * @param ids Vector of unique ids for each linked parameter/s, derived value/s, or observed data vector
+   */
+  virtual void set_distribution_links(std::string input_type, Rcpp::IntegerVector ids){
+    this->input_type_m = input_type;
+    this->key_m.resize(ids.size());
+    for(size_t i; i<ids.size(); i++){
+      this->key_m[i] = ids[i];
+    }
+  }
+
   /**
    * @brief Evaluate multinom probability density function, default returns the
    * log of the pdf