Choose_pk               Choose the autoregressive order of MixAR
                        components
MixAR-class             Class '"MixAR"' - mixture autoregressive models
MixARGaussian-class     mixAR models with Gaussian noise components
MixARgen-class          Class '"MixARgen"'
MixComp-class           Class '"MixComp"' - manipulation of MixAR time
                        series
MixVAR-class            Class '"MixVAR"' - mixture vector
                        autoregressive models
MixVARGaussian-class    MixVAR models with multivariate Gaussian noise
                        components
PortfolioData1          Closing prices of four stocks
bayes_mixAR             Bayesian sampling of mixture autoregressive
                        models
cond_loglik             Log-likelihood of MixAR models
dist_norm               Functions for the standard normal distribution
em_est_dist             Optimise scale parameters in MixARgen models
em_est_sigma            Update the scale parameters of MixAR models
em_rinit                Gaussian EM-step with random initialisation
est_templ               Create estimation templates from MixAR model
                        objects
exampleModels           MixAR models for examples and testing
fit_mixAR-methods       Fit mixture autoregressive models
fit_mixARreg-methods    Fit time series regression models with mixture
                        autoregressive residuals
fit_mixVAR-methods      Fit mixture vector autoregressive models
fnoise                  Generator functions for noise distributions
get_edist-methods       Methods for function 'get_edist' in package
                        'mixAR'
inner                   Generalised inner product and methods for class
                        '"MixComp"'
isStable                Check if a MixAR model is stable
label_switch            A posteriori relabelling of a Markov chain
lik_params              Vector of parameters of a MixAR model
make_fcond_lik-methods
                        Create a function for computation of
                        conditional likelihood
marg_loglik             Calculate marginal loglikelihood at high
                        density points of a MAR model.
mixAR-methods           Create MixAR objects
mixAR-package           Mixture Autoregressive Models
mixAR_BIC               BIC based model selection for MixAR models
mixAR_cond_probs        The E-step of the EM algorithm for MixAR models
mixAR_diag              Diagnostic checks for mixture autoregressive
                        models
mixAR_sim               Simulate from MixAR models
mixAR_switch            Relabel the components of a MixAR model
mixARemFixedPoint       EM estimation for mixture autoregressive models
mixARnoise_sim          Simulate white noise series from a list of
                        functions and vector of regimes
mixFilter               Filter time series with MixAR filters
mixMstep                Internal functions for estimation of MixAR
                        models with Gaussian components
mixSARfit               Fit mixture autoregressive models with seasonal
                        AR parameters
mixVAR_sim              Simulate from multivariate MixAR models
mixVARfit               Fit mixture vector autoregressive models
mix_ek                  Function and methods to compute component
                        residuals for MixAR models
mix_hatk                Compute component predictions for MixAR models
mix_moment              Conditional moments of MixAR models
mix_ncomp-methods       Number of rows or columns of a MixComp object
mix_pdf-methods         Conditional pdf's and cdf's of MixAR models
mix_qf-methods          Conditional quantile functions of MixAR models
mix_se-methods          Compute standard errors of estimates of MixAR
                        models
mixgenMstep             M-step for models from class MixARgen
multiStep_dist-methods
                        Multi-step predictions for MixAR models
noise_dist              Internal mixAR functions
noise_dist-methods      Methods for function 'noise_dist' in package
                        'mixAR'
noise_params-methods    Methods for function 'noise_params' in package
                        'mixAR'
noise_rand-methods      Methods for function 'noise_rand' in package
                        'mixAR'
parameters              Set or extract the parameters of MixAR objects
percent_of              Infix operator to apply functions to
                        matrix-like objects
permn_cols              All permutations of the columns of a matrix
predict_coef            Exact predictive parameters for multi-step
                        MixAR prediction
rag_modify              Small utilities for ragged objects
raggedCoef-class        Class '"raggedCoef"' - ragged list objects
raggedCoefS-class       Class '"raggedCoefS"' - ragged list
raggedCoefV-class       Class '"raggedCoefV"' - ragged list
raghat1                 Filter a time series with options to shift and
                        scale
randomArCoefficients    Random initial values for MixAR estimation
row_lengths-methods     Methods for function 'row_lengths' in package
                        'mixAR'
sampZpi                 Sampling functions for Bayesian analysis of
                        mixture autoregressive models
show_diff               Show differences between two models
simuExperiment          Perform simulation experiments
stdnormmoment           Compute moments and absolute moments of
                        standardised-t and normal distributions
tomarparambyComp        Translations of my old MixAR Mathematica
                        functions
