Title: Multivariate Timeseries Cluster-Based Models
Description: Place-holder package (roughly speaking an empty package)
for finding clusters in multivariate timeseries. Full

Description: A package for multivariate timeseries clustering.
Currently, this includes constrained agglomerative clustering
over observations (and extensions for change point detection),
based closely on the work of Harnish, Nelson and Runger (2009).
This package is incomplete and experimental.

Title: Multivariate time series data imputation
Description: This is a EM algorithm based method for imputation of
missing values in multivariate normal time series. The
imputation algorithm accounts for both spatial and temporal
correlation structures. Temporal patterns can be modelled using
an ARIMA(p,d,q), optionally with seasonal components, a
non-parametric cubic spline or generalised additive models with
exogenous covariates. This algorithm is specially tailored for
climate data with missing measurements from several monitors

Description: This is an EM algorithm based method for imputation of

Author: Washington Junger <wjunger@ims.uerj.br> and Antonio Ponce de Leon <ponce@ims.uerj.br>
Title: Multivariate Time Series Data Imputation
Description: This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a non-parametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.

Title: Constructing Hierarchical Voronoi Tessellations and Overlay
person("Zubin", "Dowlaty", email = "zubin.dowlaty@mu-sigma.com", role = "aut"),
person("Avinash", "Joshi", email = "avinash.joshi@mu-sigma.com", role = "aut"),
person("Meet", "Dave", email = "dave.kirankumar@mu-sigma.com", role = c("aut","cre")))
Description: Constructing hierarchical Voronoi tessellations for a given data set and overlay
heatmap for variables at various levels of the tessellations for in-depth data analysis. See <https://en.wikipedia.org/wiki/Voronoi_diagram> for more information. Credits to Mu Sigma for their continuous support throughout the development of the package.