as.data.frame.par.fit   Convert a fit of the PAR model to a single row
                        data.frame
estimate.par            Estimates the parameters of a partially
                        autoregressive fit using lagged variances
fit.par                 Fit a partially autoregressive model
kalman.gain.par         Kalman gain matrix of the partially
                        autoregressive model
likelihood_ratio.par    Computes log likelihood ratio for partial
                        autoregressive model
loglik.par              Negative log likelihood of a partially
                        autoregressive fit
partialAR-package       Partial autoregression
pvmr.par                Proportion of variance attributable to mean
                        reversion
rpar                    Random partially autoregressive sequence
sample.likelihood_ratio.par
                        Generates random samples of the likelihood
                        ratio for the partially autoregressive model
statehistory.par        Estimates hidden states of a partially
                        autoregressive model
test.par                Likelihood ratio test for partially
                        autoregressive model
which.hypothesis.partest
                        Returns the preferred hypothesis when testing
                        for partial autoregression
