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Package: ftsatoo 0.2.0

T. Moudiki

ftsatoo: Functional Time Series Analysis

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

Authors:Rob Hyndman [aut], Han Lin Shang [aut, cre, cph], T. Moudiki [aut, ctb]

ftsatoo_0.2.0.tar.gz
ftsatoo_0.2.0.zip(r-4.7)ftsatoo_0.2.0.zip(r-4.6)ftsatoo_0.2.0.zip(r-4.5)
ftsatoo_0.2.0.tgz(r-4.6-any)ftsatoo_0.2.0.tgz(r-4.5-any)
ftsatoo_0.2.0.tar.gz(r-4.7-any)ftsatoo_0.2.0.tar.gz(r-4.6-any)
ftsatoo_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ftsatoo/json (API)

# Install 'ftsatoo' in R:

install.packages('ftsatoo', repos = c('https://techtonique.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/thierrymoudiki/ftsatoo/issues

On CRAN:

forecasting functional-data-analysis time-series

2.00 score 1 scripts 53 exports 124 dependencies

Last updated from:ca12ba7744. Checks:7 WARNING, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	WARNING	228
source / vignettes	OK	475
linux-release-x86_64	WARNING	221
macos-release-arm64	WARNING	132
macos-oldrel-arm64	WARNING	140
windows-devel	WARNING	162
windows-release	WARNING	172
windows-oldrel	WARNING	152
wasm-release	OK	160

Exports:centre CoDa_BayesNW CoDa_FPCA dens2lqd diff.fts dmfpca dynamic_FLR dynupdate ER_GR error extract facf farforecast fbootstrap forecast.ftsm forecast.hdfpca forecastfplsr fplsr ftsm ftsmiterativeforecasts ftsmweightselect GAEVforecast hdfpca Horta_Ziegelmann_FPCA is.fts isfe.fts long_run_covariance_estimation MAF_multivariate mean.fts median.fts MFDM MFPCA mftsc pcscorebootstrapdata plot.fm plot.fmres plot.ftsf plot.ftsm plotfplsr quantile quantile.fts residuals.fm sd sd.default sd.fts skew_t_fun stop_time_detect stop_time_sim_data summary.fm T_stationary var var.default var.fts

Dependencies:abind ash backports base64enc bitops boot bslib cachem checkmate class cli cluster colorspace cpp11 cvar data.table deSolve digest e1071 ecp evaluate evgam farver fastICA fastmap fBasics fda fdapace fds fGarch FNN fontawesome forecast foreign Formula fracdiff fs gbutils generics geometry ggplot2 glue GPArotation gridExtra gss gtable hdrcde highr Hmisc htmlTable htmltools htmlwidgets isoband jquerylib jsonlite kernlab KernSmooth knitr ks labeling LaplacesDemon lattice lifecycle linprog Lmoments lmtest locfit lpSolve magic magrittr MASS Matrix mclust memoise mgcv mime mnormt multicool mvtnorm nlme nnet numDeriv pcaPP pdfCluster pracma proxy psych R6 rainbow rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppProgress RCurl Rdpack rlang rmarkdown ROOPSD rpart rstudioapi S7 sandwich sass scales sde spatial stabledist stringi stringr strucchange timeDate timeSeries tinytex urca vars vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Centre Functional Time Series	centre
Function for converting densities to log quantile density functions	dens2lqd
Difference Functional Time Series	diff.fts
Dynamic Update for Functional Time Series Forecasting	dynupdate
Functional Autocorrelation Function	facf
Functional Bootstrap	fbootstrap
Forecast a functional time series model	forecast.ftsm
Functional Partial Least Squares Regression	fplsr
Functional Time Series Model	ftsm
Check if Object is a Functional Time Series	is.fts
Mean Function for Functional Time Series	mean.fts
Plot Functional Time Series Model	plot.ftsm