NH-MSAR-package |
(Non) Homogeneous Markov switching autoregressive model |
Cond.prob.MSAR |
Conditional probabilities for (non) homogeneous MSAR models |
cor.MSAR |
Empirical correlation functions comparison . |
cross.cor.MSAR |
empirical cross-correlation for multivariate MSAR time series |
emisprob.MSAR.VM |
Emission probabilities for von Mises MSAR |
ENu_graph |
Plots empirical expected number of upcrossings of level u with respect to P(Y<u) |
Estep.MSAR |
Estep of the EM algorithm for fitting (non) homogeneous Markov switching auto-regressive models. |
Estep.MSAR.VM |
Estep of the EM algorithm for fitting von Mises (non) homogeneous Markov switching auto-regressive models. |
fit.MSAR |
Fit (non) homogeneous Markov switching autoregressive models |
fit.MSAR.VM |
Fit von Mises (non) homogeneous Markov switching autoregressive models |
forecast.prob.MSAR |
Forecast probabilities for (non) homogeneous MSAR models |
forwards_backwards |
Forward Backward for homogeneous MSAR models |
init.theta.MSAR |
Initialisation function for MSAR model fitting |
init.theta.MSAR.VM |
Initialisation function for von Mises MSAR model fitting |
log_dens_Von_Mises |
von Mises log likelihood. |
MeanDurOver |
Mean Duration of sojourn over a treshold |
MeanDurUnder |
Mean Duration of sojourn under a treshold |
meteo.data |
Meteorological at Brest (France) for January month from 1973 to 2013 |
Mstep.classif |
fit an AR model for each class of C |
Mstep.hh.lasso.MSAR |
M step of the EM algorithm for fitting homogeneous multivariate Markov switching auto-regressive models with penalization of parameters of the VAR(1) models. |
Mstep.hh.MSAR |
M step of the EM algorithm for fitting homogeneous Markov switching auto-regressive models. |
Mstep.hh.MSAR.VM |
M step of the EM algorithm for fitting von Mises Markov switching auto-regressive models. |
Mstep.hh.MSAR.with.constraints |
M step of the EM algorithm for fitting homogeneous multivariate Markov switching auto-regressive models with constraints on VAR models. |
Mstep.hh.reduct.MSAR |
M step of the EM algorithm for fitting homogeneous Markov switching auto-regressive models with constraints on the matrices. |
Mstep.hh.ridge.MSAR |
M step of the EM algorithm for fitting homogeneous multivariate Markov switching auto-regressive models with penalization of parameters of the VAR(1) models. |
Mstep.hh.SCAD.cw.MSAR |
M step of the EM algorithm for fitting homogeneous multivariate Markov switching auto-regressive models with SCAD penalization of parameters of the VAR(1) models. |
Mstep.hh.SCAD.MSAR |
M step of the EM algorithm for fitting homogeneous multivariate Markov switching auto-regressive models with penalization of parameters of the VAR(1) models. |
Mstep.hn.MSAR |
M step of the EM algorithm for fitting Markov switching auto-regressive models with non homogeneous emissions. |
Mstep.nh.MSAR |
M step of the EM algorithm. |
Mstep.nh.MSAR.VM |
M step of the EM algorithm for von Mises MSAR models |
Mstep.nn.MSAR |
M step of the EM algorithm. |
NH-MSAR |
(Non) Homogeneous Markov switching autoregressive model |
nhforwards_backwards |
Forward Backward for MSAR models with non homogeneous transitions |
PibDetteDemoc |
Annual GDP and Debt data 1970-2010 |
prediction.MSAR |
One step ahead predict for (non) homogeneous MSAR models |
regimes.plot.MSAR |
Plot MSAR time series with regimes |
simule.nh.MSAR |
Simulation of (non) homogeneous Markov Stiwtching autoregressive models |
simule.nh.MSAR.VM |
Simulation of (non) homogeneous Markov Stiwtching autoregressive models von Mises innovations |
simule_MC |
Simulates Markov chain of length T |
test.model.MSAR |
Performs bootstrap statistical tests to validate MSAR models. |
test.model.vect.MSAR |
Performs bootstrap statistical tests on covariance to validate MSVAR models. |
U |
Winter wind data at 18 locations offshore of France |
valid_all.MSAR |
Statistics plotting for validation of MSAR models |
viterbi_path |
Viterbi path homogeneous MSAR models |
WindDir |
January wind direction at Ouessant |