Man pages for PhilippVWC/myBayes
Functions for time series analysis based on Bayesian methods

alpha_muSDrelParametrize shape parameter alpha for beta distribution
axLabels3dDraw axis labels for 3d persp plots
betaBinBeta binomial distribution
betaDistThe Beta distribution
beta_muSDrelParametrize shape parameter beta for beta distribution
blurrVectorblurrVector statistically disperses a deterministic vector
CeBePaParameter creation for Beta distribution.
collapseRemove equal and adjacent components of a vector
coordinatesGenerate coordinates
definitenessDefiniteness of a 2D real-valued matrix
Dgsm_iter_cppTime series creation with discretized output
discreteMap_iterTime Series generation from a matrix
discretize_cppdiscretize a real value
discretizeMapDiscretize a continuous function by a specified level
gensymMapGeneral symmetric map
get_iGet index position on discrete grid
getMatdiscretize the continuous general symmetric map
gsm_cppgeneral symmetric map
gsm_iter_cppTime series creation
HeavisideHeaviside step function
iteratedMapTime series creation by given map.
iteratedMap_ioNoiseTime series with input and measurement noise
LikGaussian likelihood for given time series data
Lik_Dgsm_cppGaussian likelihood for given data
Lik_genSymMapGaussian Likelihood for general symmetric map
Lik_gsm_cppGaussian likelihood for given time series data
max2dFind the maxima of a 2D matrix.
MHSimulated annealing in one dimension
mu_alphaBetaTransform shape parameters of Beta distribution
myGridmyGrid draws grids
myOpt_NOptimize in multiple dimensions
nuSample size for parametrized beta distribution
ravrgRunning average
rectrectangle function
sig_alphaBetaTransform shape parameters of Beta distribution
valToVecTranslate a scalar value to a probability vector
vecToValProjection of a vector onto a given axis
PhilippVWC/myBayes documentation built on Oct. 2, 2020, 8:25 a.m.