c(
person("Ricardo", "Olea",
role = c("aut", "cph"),
email = "raolea@uc.cl"),
person("Wilfredo", "Palma",
role = c("aut", "cph"),
email = "wpalma@uc.cl"),
person("Pilar", "Rubio",
role = c("aut"),
email = "parubio@puc.cl"),
person("Mauricio", "Vargas",
role = c("aut", "cre"),
email = "mavargas11@uc.cl",
comment = c(ORCID = "0000-0003-1017-7574"))
)
A set of functions that allow stationary analysis and locally stationary time series analysis.
Ricardo Olea [aut, cph],
Wilfredo Palma [aut, cph],
Pilar Rubio [aut],
Mauricio Vargas [aut, cre] (<https://orcid.org/0000-0003-1017-7574>)

Estimation of Low Rank Plus Sparse Structured Vector
Auto-Regressive (VAR) Model
Implementations of estimation algorithm of low rank plus sparse structured VAR model by using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA). It relates to the algorithm in Sumanta, Li, and Michailidis (2019) <doi:10.1109/TSP.2018.2887401>.

Simulation and Spectral Estimation of Locally Stationary Wavelet
Packet Processes
c(
person("Alessandro","Cardinali",, "alessandro.cardinali@plymouth.ac.uk", role = c("aut", "cre")),
person("Guy","Nason",, "g.nason@imperial.ac.uk", role = "aut")
)
Library of functions for the statistical analysis and simulation of Locally Stationary Wavelet Packet (LSWP) processes.  The methods implemented by this library are described in Cardinali and Nason (2017) <doi:10.1111/jtsa.12230>.
Alessandro Cardinali [aut, cre],
Guy Nason [aut]

person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = c("aut", "cre", "cph"))
A word embeddings-based semisupervised model for document scaling Watanabe (2017) <doi:10.1177/0267323117695735>.
LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove).
quanteda (>= 2.0), quanteda.textmodels, methods, R (>= 3.5.0)
digest, Matrix, RSpectra, irlba, rsvd, rsparse, proxyC,
stringi, grDevices, stats, ggplot2, ggrepel, reshape2, e1071

digest, Matrix, RSpectra, irlba, rsvd, rsparse, proxyC,
grDevices, stats, ggplot2, ggrepel, reshape2, e1071