Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

ARX	Linear Autoregressive model with Gaussian noise
AssertXercesIsAlive	Class initializing Xerces library
Attribute	Abstract class declaring general properties of a frame for data binding
bilinfn	Class representing function
BindingFrame	Abstract class declaring general properties of a frame for data binding
BM	Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities
BMcond	Conditional Bayesian Filter
BMEF	Estimator for Exponential family
chmat	Symmetric matrix stored in square root decomposition using upper cholesky
compositepdf	Abstract composition of pdfs, a base for specific classes this abstract class is common to epdf and mpdf
CompoundUserInfo< T >	The main userinfo template class. You should derive this class whenever you need a new userinfo of a class which is compound from smaller elements (all having its own userinfo class prepared)
CompoundUserInfo< T >::BindedElement< U >	Templated class binding inner element with its XML tag and automating data transfers in both directions
constfn	Class representing function , here rv is empty
datalink_e2e
datalink_m2e	Data link between
datalink_m2m
diffbifn	Class representing a differentiable function of two variables
dirfilelog	Logging into dirfile with buffer in memory
DS	Abstract class for discrete-time sources of data
eDirich	Dirichlet posterior density
eEF	General conjugate exponential family posterior density
eEmp	Weighted empirical density
egamma	Gamma posterior density
egiw	Gauss-inverse-Wishart density stored in LD form
EKF< sq_T >	Extended Kalman Filter
EKF_unQ	Extended Kalman filter with unknown Q
EKFCh	Extended Kalman Filter in Square root
EKFCh_cond	Extended Kalman filter with unknown Q
EKFfixed	Extended Kalman Filter with full matrices in fixed point arithmetic
EKFful_unQR	Extended Kalman filter with unknown Q and R
EKFfull	Extended Kalman Filter in full matrices
emix	Mixture of epdfs
enorm< sq_T >	Gaussian density with positive definite (decomposed) covariance matrix
epdf	Probability density function with numerical statistics, e.g. posterior density
eprod	Product of independent epdfs. For dependent pdfs, use mprod
euni	Uniform distributed density on a rectangular support
fnc	Class representing function of variable represented by rv
fsqmat	Fake sqmat. This class maps sqmat operations to operations on full matrix
itpp::Gamma_RNG	Gamma distribution
IMk1	Model stredni hodnoty vyvoje stavu pro k1
IMpmsm	State evolution model for a PMSM drive and its derivative with respect to
IMpmsmStat	State evolution model for a PMSM drive and its derivative with respect to , equation for is omitted.$
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, (commonly known as UD)
linfn	Class representing function
logger	Class for storing results (and semi-results) of an experiment
mEF	Exponential family model
MemDS	Class representing off-line data stored in memory
memlog	Logging into matrices in data format in memory
mepdf	Unconditional mpdf, allows using epdf in the role of mpdf
merger	Function for general combination of pdfs
mgamma	Gamma random walk
mgamma_fix	Gamma random walk around a fixed point
MixEF	Mixture of Exponential Family Densities
mlnorm< sq_T >	Normal distributed linear function with linear function of mean value;
mlstudent
mmix	Mixture of mpdfs with constant weights, all mpdfs are of equal type
mpdf	Conditional probability density, e.g. modeling some dependencies
MPF< BM_T >	Marginalized Particle filter
mprod	Chain rule decomposition of epdf
mratio	Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: where
multiBM	Estimator for Multinomial density
OMk1	Model stredni hodnoty pozorovani pro k1
OMpmsm	Observation model for PMSM drive and its derivative with respect to
PF	Trivial particle filter with proposal density equal to parameter evolution model
RootElement	This class serves to load and/or save DOMElements into/from files stored on a hard-disk
RV	Class representing variables, most often random variables
sqmat	Virtual class for representation of double symmetric matrices in square-root form
str	Structure of RV (used internally), i.e. expanded RVs
TypedUserInfo< T >	TypeUserInfo is still an abstract class, but contrary to the UserInfo class it is already templated. It serves as a bridge to non-abstract classes CompoundUserInfo<T> or ValuedUserInfo<T>
UserInfo	UserInfo is an abstract is for internal purposes only. Use CompoundUserInfo<T> or ValuedUserInfo<T> instead. The raison d'etre of this class is to allow pointers to its templated descendants
ValuedUserInfo< T >	The main userinfo template class. It should be derived whenever you need a new userinfo of a class which does not contain any subelements. It is the case of basic classes(or types) like int, string, double, etc