Package: forecasteR 2.0.2

Oldemar Rodriguez

forecasteR: Time Series Forecast System

A web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, naïve, seasonal naïve and drift, as well as more complex methods such as Holt-Winters Box,G and Jenkins, G (1976) <doi:10.1111/jtsa.12194> and ARIMA Brockwell, P.J. and R.A.Davis (1991) <doi:10.1007/978-1-4419-0320-4>.

Authors:Oldemar Rodriguez [aut, cre], Diego Jiménez [aut]

forecasteR_2.0.2.tar.gz
forecasteR_2.0.2.zip(r-4.7)forecasteR_2.0.2.zip(r-4.6)forecasteR_2.0.2.zip(r-4.5)
forecasteR_2.0.2.tgz(r-4.6-any)forecasteR_2.0.2.tgz(r-4.5-any)
forecasteR_2.0.2.tar.gz(r-4.7-any)forecasteR_2.0.2.tar.gz(r-4.6-any)
forecasteR_2.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
forecasteR/json (API)

# Install 'forecasteR' in R:

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

Bug tracker:https://github.com/promidat/forecaster/issues

On CRAN:

2.00 score 2 scripts 238 downloads 25 exports 108 dependencies

Last updated from:34774818c8. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	201
source / vignettes	OK	199
linux-release-x86_64	OK	190
macos-release-arm64	OK	129
macos-oldrel-arm64	OK	112
windows-devel	OK	140
windows-release	OK	129
windows-oldrel	OK	144
wasm-release	OK	130

Exports:calibrar.arima calibrar.HW df_periods dfnormal e_acf e_decompose e_histnormal e_pacf e_periods e_qq e_tc get_start grafico.errores MSE pred.tskeras RE RMSE RSS run_app smoothing tabla.errores text_toDate tskeras var.categoricas var.numericas

Dependencies:attempt backports base64enc broom bslib cachem cli colorspace colourpicker commonmark config corrplot countrycode cpp11 crosstalk digest dplyr DT echarts4r evaluate farver fastmap fontawesome forecast fracdiff fresh fs generics ggplot2 glue golem gtable here highr htmltools htmlwidgets httpuv isoband jquerylib jsonlite keras knitr labeling later lattice lazyeval lifecycle lmtest lubridate magrittr Matrix memoise mime miniUI nlme nnet otel pillar pkgconfig png processx promises ps purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppTOML reticulate rlang rmarkdown rprojroot rstudioapi S7 sass scales shiny shinyAce shinycustomloader shinydashboard shinydashboardPlus shinyjs sourcetools stringi stringr tensorflow tfautograph tfruns tibble tidyr tidyselect timechange timeDate tinytex urca utf8 vctrs viridisLite waiter whisker withr xfun xtable yaml zeallot zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Best parameters arima model	calibrar.arima
Best parameters HoltWinters model	calibrar.HW
Periodogram Data.frame	df_periods
Data.frame with normal test	dfnormal
Best parameters arima model	e_acf
Decompose plot	e_decompose
Normal plot	e_histnormal
Best parameters arima model	e_pacf
Periodogram Plot	e_periods
Qplot + Qline	e_qq
Tendencia y Estacionalidad	e_tc
Time Series Forecast System	forecasteR
Get ts start of a time series	get_start
Error plot for all predictions	grafico.errores
Mean Square Error	MSE
Time series forecasts for a keras model.	pred.tskeras
Relative Error	RE
Root Mean Square Error	RMSE
RSS	RSS
Run the Shiny Application	run_app
Apply rolling to a numeric vector.	smoothing
Error table for all predictions	tabla.errores
Convert character to dates	text_toDate
keras model for time series.	tskeras
Filter category variables of a data.frame	var.categoricas
Filter numeric variables of a data.frame	var.numericas