#include <libEF.h>


| Public Member Functions | |
| mgamma (const RV &rv, const RV &rvc) | |
| Constructor. | |
| void | set_parameters (double k) | 
| Set value of k. | |
| vec | samplecond (vec &cond, double &lik) | 
| Generate one sample of the posterior. | |
| mat | samplecond (vec &cond, vec &lik, int n) | 
| Generate matrix of samples of the posterior. | |
| void | condition (const vec &val) | 
| Update epso that it represents this mpdf conditioned onrvc= cond. | |
| virtual double | evalcond (const vec &dt, const vec &cond) | 
| Shortcut for conditioning and evaluation of the internal epdf. In some cases, this operation can be implemented efficiently. | |
| RV | _rvc () | 
| access function | |
| epdf & | _epdf () | 
| access function | |
| Protected Attributes | |
| RV | rv | 
| modeled random variable | |
| RV | rvc | 
| random variable in condition | |
| epdf * | ep | 
| pointer to internal epdf | |
Mean value,  , of this density is given by
, of this density is given by rvc . Standard deviation of the random walk is proportional to one $k$-th the mean. This is achieved by setting  and
 and  .
.
The standard deviation of the walk is then:  .
. 
 1.5.3
 1.5.3