R interface to tslib (a time series library in c++)

R Interface to 'tslib' (a Time Series Library in C++)
Fast operations for time series objects.

Functions for displaying and analyzing functional time series.

Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.

c(
person("Rob", "Hyndman", role="aut", comment = c(ORCID = "0000-0002-2140-5352")),
person("Han Lin", "Shang", email="hanlin.shang@anu.edu.au", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1769-6430"))
)

colorspace, MASS, pcaPP, fda, pdfCluster

colorspace, MASS, pcaPP, fda, pdfCluster, ecp, strucchange,
e1071

c(
person("Rob", "Hyndman", role="aut", comment = c(ORCID = "0000-0002-2140-5352")),
person("Han Lin", "Shang", email="hanlin.shang@mq.edu.au", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1769-6430"))
)

colorspace, MASS, pcaPP, fda, pdfCluster, ecp, strucchange,
e1071, psych, fGarch, KernSmooth, vars, boot, fdapace,
LaplacesDemon, evgam, ROOPSD, glue

Spectral Density Estimation and Comparison for Functional Time
Series
person("Shahin", "Tavakoli", email = "s.tavakoli@statslab.cam.ac.uk", role = c("aut", "cre"))
Functions for estimating spectral density operator of functional
time series (FTS) and comparing the spectral density operator of two
functional time series, in a way that allows detection of differences of
the spectral density operator in frequencies and along the curve length.

Framework for Unified Estimation in Lognormal Models
Lognormal models have broad applications in various research areas such as economics, actuarial science, biology, environmental science and psychology. The estimation problem in lognormal models has been extensively studied. This R package 'fuel' implements thirty-eight the existing and newly proposed estimators. See Zhang, F., and Gou, J. (2020), A unified framework for estimation in lognormal models, Technical report.

Lognormal models have broad applications in various research areas such as economics, actuarial science, biology, environmental science and psychology. The estimation problem in lognormal models has been extensively studied. This R package 'fuel' implements thirty-nine existing and newly proposed estimators. See Zhang, F., and Gou, J. (2020), A unified framework for estimation in lognormal models, Technical report.