| bilinfn | Class representing function $f(x,u) = Ax+Bu$  | 
  | BM | Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities  | 
  | BMcond | Conditional Bayesian Filter  | 
  | chmat | Symmetric matrix stored in square root decomposition using upper cholesky  | 
  | constfn | Class representing function $f(x) = a$, here rv is empty  | 
  | diffbifn | Class representing a differentiable function of two variables $f(x,u)$  | 
  | DS | Abstract class for discrete-time sources of data  | 
  | eEF | General conjugate exponential family posterior density  | 
  | eEmp | Weighted empirical density  | 
  | egamma | Gamma posterior density  | 
  | EKF< sq_T > | Extended Kalman Filter  | 
  | EKF_unQ | Extended Kalman filter with unknown Q  | 
  | enorm< sq_T > | Gaussian density with positive definite (decomposed) covariance matrix  | 
  | epdf | Probability density function with numerical statistics, e.g. posterior density  | 
  | euni | Uniform distributed density on a rectangular support  | 
  | fnc | Class representing function $f(x)$ of variable $x$ represented by rv  | 
  | fsqmat | Fake sqmat. This class maps sqmat operations to operations on full matrix  | 
  | itpp::Gamma_RNG | Gamma distribution  | 
  | IMpmsm | State evolution model for a PMSM drive and its derivative with respect to $x$  | 
  | Kalman< sq_T > | Kalman filter with covariance matrices in square root form  | 
  | KalmanCh | Kalman filter in square root form  | 
  | KalmanFull | Basic Kalman filter with full matrices (education purpose only)! Will be deleted soon!  | 
  | KFcondQR | Kalman Filter with conditional diagonal matrices R and Q  | 
  | KFcondR | Kalman Filter with conditional diagonal matrices R and Q  | 
  | ldmat | Matrix stored in LD form, (typically known as UD)  | 
  | linfn | Class representing function $f(x) = Ax+B$  | 
  | mEF | Exponential family model  | 
  | MemDS | Class representing off-line data stored in memory  | 
  | mgamma | Gamma random walk  | 
  | mlnorm< sq_T > | Normal distributed linear function with linear function of mean value;  | 
  | mpdf | Conditional probability density, e.g. modeling some dependencies  | 
  | MPF< BM_T > | Marginalized Particle filter  | 
  | OMpmsm | Observation model for PMSM drive and its derivative with respect to $x$  | 
  | PF | Trivial particle filter with proposal density equal to parameter evolution model  | 
  | RV | Class representing variables, most often random variables  | 
  | sqmat | Virtual class for representation of double symmetric matrices in square-root form  |