Class List

Here are the classes, structs, unions and interfaces with brief descriptions:
ARXLinear Autoregressive model with Gaussian noise
AttributeUser Info base class
bilinfnClass representing function $f(x,u) = Ax+Bu$
BMBayesian Model of the world, i.e. all uncertainty is modeled by probabilities
BMcondConditional Bayesian Filter
CarUIUser info for strings
chmatSymmetric matrix stored in square root decomposition using upper cholesky
constfnClass representing function $f(x) = a$, here rv is empty
diffbifnClass representing a differentiable function of two variables $f(x,u)$
dirfilelogLogging into dirfile with buffer in memory
DoubleAttributeClass encapsulating all the necessary stuff to work with the double attribute
DSAbstract class for discrete-time sources of data
eEFGeneral conjugate exponential family posterior density
eEmpWeighted empirical density
egammaGamma posterior density
egiwGauss-inverse-Wishart density stored in LD form
EKF< sq_T >Extended Kalman Filter
EKF_unQExtended Kalman filter with unknown Q
EKFChExtended Kalman Filter in Square root
EKFfixedExtended Kalman Filter in full matrices
EKFful_unQRExtended Kalman filter with unknown Q and R
EKFfullExtended Kalman Filter in full matrices
emixMixture of epdfs
EngineUIUser info for strings
enorm< sq_T >Gaussian density with positive definite (decomposed) covariance matrix
epdfProbability density function with numerical statistics, e.g. posterior density
eprodChain rule decomposition of epdf
euniUniform distributed density on a rectangular support
fncClass representing function $f(x)$ of variable $x$ represented by rv
fsqmatFake sqmat. This class maps sqmat operations to operations on full matrix
itpp::Gamma_RNGGamma distribution
GlobalXercesConnectorXerces interface class
IMpmsmState evolution model for a PMSM drive and its derivative with respect to $x$
IntAttributeClass encapsulating all the necessary stuff to work with an int attribute
Kalman< sq_T >Kalman filter with covariance matrices in square root form
KalmanChKalman filter in square root form
KalmanFullBasic Kalman filter with full matrices (education purpose only)! Will be deleted soon!
KFcondQRKalman Filter with conditional diagonal matrices R and Q
KFcondRKalman Filter with conditional diagonal matrices R and Q
ldmatMatrix stored in LD form, (typically known as UD)
linfnClass representing function $f(x) = Ax+B$
loggerClass for storing results (and semi-results) of an experiment
mEFExponential family model
MemDSClass representing off-line data stored in memory
memlogLogging into matrices in data format in memory
mepdfUnconditional mpdf, allows using epdf in the role of mpdf
mgammaGamma random walk
mgamma_fixGamma random walk around a fixed point
mlnorm< sq_T >Normal distributed linear function with linear function of mean value;
mmixMixture of mpdfs with constant weights
mpdfConditional probability density, e.g. modeling some dependencies
MPF< BM_T >Marginalized Particle filter
OMpmsmObservation model for PMSM drive and its derivative with respect to $x$
PFTrivial particle filter with proposal density equal to parameter evolution model
RVClass representing variables, most often random variables
sqmatVirtual class for representation of double symmetric matrices in square-root form
StringAttributeClass encapsulating all the necessary stuff to work with a string attribute
UserInfo< T >The main user info template class
UserInfoCoreUserInfoCore class is for internal purposes only. Use UserInfo<T> instead

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