Packaged: 2022-10-26 01:08:39 UTC; laurajamison

Title: Machine Learning Algorithms for Multivariate Time Series
person("Angel", "Lopez-Oriona", email = "oriona38@hotmail.com",
person("Jose", "A. Vilar", role = "aut"))
Description: An implementation of several machine learning algorithms for
multivariate time series. The package includes functions allowing the
execution of clustering, classification or outlier detection methods,
among others. It also incorporates a collection of multivariate time
series datasets which can be used to analyse the performance of new
proposed algorithms. Practitioners from a broad variety of fields could
benefit from the general framework provided by 'mlmts'.
Imports: quantspec, waveslim, Rfast, TSclust, forecast, tseries, TSA,
tsfeatures, tseriesChaos, freqdom, e1071, dtw, base, psych,
complexplus, MTS, Matrix, ggplot2, multiwave, MASS, fda.usc,
TSdist, evolqg, geigen, DescTools, pracma, pspline, Rdpack,

proposed algorithms. Some of these datasets are stored in GitHub data
packages 'ueadata1' to 'ueadata8'. To access these data packages, run
'install.packages(c('ueadata1', 'ueadata2', 'ueadata3', 'ueadata4', 'ueadata5', 'ueadata6', 'ueadata7', 'ueadata8'), repos='<https://anloor7.github.io/drat/>')'.
The installation takes a couple of minutes but we strongly encourage the
users to do it if they want to have available all datasets of mlmts.
Practitioners from a broad variety of fields could
stats, ClusterR, AID, caret, ranger, igraph, randomForest
Suggests: ueadata1, ueadata2, ueadata3, ueadata4, ueadata5, ueadata6,

Description: Estimation of the multinomial logit model with choice specific variables
Packaged: Thu May 15 13:18:24 2008; yves

Description: Estimation of the multinomial logit model with alternative and/or individual specific variables
Packaged: Wed Aug 27 14:35:36 2008; yves

Packaged: Wed Dec 17 18:04:33 2008; yves

Description: Estimation of the multinomial logit model with choice

Description: Estimation of the multinomial logit model

Depends: R (>= 1.8.0), Formula, statmod, lmtest