c(person("Laura Jamison", email = "lj5yn@virginia.edu", role = c("aut", "cre")),
person("Jessica Mazen", email = "mazenjes@gmail.com", role = c("aut")),
person("Erik Ruzek", email = "eruzek@virginia.edu", role = c("aut")),
person("Gus Sjobeck", email = "grs4de@virginia.edu", role = "ctb"))
Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014) <doi:10.18637/jss.v067.i01>.
Laura Jamison [aut, cre],
Jessica Mazen [aut],
Erik Ruzek [aut],
Gus Sjobeck [ctb]

Machine Learning Algorithms for Multivariate Time Series
c(
person("Angel", "Lopez-Oriona", email = "oriona38@hotmail.com",
role = c("aut", "cre")),
person("Jose", "A. Vilar", role = "aut"))
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'.
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,
stats, ClusterR, AID, caret, ranger
Angel Lopez-Oriona [aut, cre],
Jose A. Vilar [aut]