Author: Charles Bouveyron, Camille Brunet & Nicolas Jouvin.
Description: The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) <doi:10.1007/s11222-011-9249-9>,

Description: FisherEM is an efficient algorithm for
the unsupervised classification of high-dimensional data. FisherEM
models and clusters the data in a discriminative and low-dimensional
latent subspace. It also provides a low-dimensional representation
of the clustered data. A sparse version of Fisher-EM algorithm is also provided.

Depends: MASS, parallel, elasticnet, ggplot2

Depends: R (>= 2.0.0), lattice, leaps, ltsa
Description: Complete functions are given for model identification, estimation and diagnostic checking for AR and subset AR models. Two types of subset AR models are supported.  One family of subset AR models, denoted by ARp, is formed by taking subet of the original AR coefficients and in the other, denoted by ARz, subsets of the partial autocorrelations are used. The main advantage of the ARz model is its applicability to very large order models.

Description: Complete functions are given for model identification,
estimation and diagnostic checking for AR and subset AR models.
Two types of subset AR models are supported.  One family of
subset AR models, denoted by ARp, is formed by taking subet of
the original AR coefficients and in the other, denoted by ARz,
subsets of the partial autocorrelations are used. The main
advantage of the ARz model is its applicability to very large

Description: Comprehensive model building function for identification,

Depends: R (>= 2.0.0), lattice, leaps, ltsa, bestglm

Author: A.I. McLeod, Ying Zhang and Changjiang Xu

Packaged: 2013-03-16 02:01:31 UTC; IanMcLeod

Title: FitARMA: Fit ARMA or ARIMA using fast MLE algorithm
Description: Implements fast maximum likelihood algorithm for fitting
ARMA time series. Uses S3 methods print, summary, fitted,
residuals. Fast exact Gaussian ARMA simulation.

Title: Fit ARMA or ARIMA Using Fast MLE Algorithm
Description: Implements fast maximum likelihood algorithm for fitting ARMA time series. Uses S3 methods print, summary, fitted, residuals. Fast exact Gaussian ARMA simulation.