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forecasteR
View on CRAN: Click
here
Download and install forecasteR package within the R console
Install from CRAN:
install.packages("forecasteR")
Install from Github:
library("remotes")
install_github("cran/forecasteR") Install by package version:
library("remotes")
install_version("forecasteR", "3.0.2") Attach the package and use:
library("forecasteR")
Maintained by
Oldemar Rodriguez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-02
Latest Update: 2024-11-26
Description:
A web application for displaying, analysing and forecasting univariate time series. Includes basic methods such as mean, na
How to cite:
Oldemar Rodriguez (2022). forecasteR: Time Series Forecast System. R package version 3.0.2, https://cran.r-project.org/web/packages/forecasteR. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Complete documentation for forecasteR
Functions, R codes and Examples using
the forecasteR R package
Some associated functions: MSE . RE . RMSE . RSS . calibrar.HW . calibrar.arima . df_periods . dfnormal . e_acf . e_decompose . e_histnormal . e_pacf . e_periods . e_qq . e_tc . forecasteR . get_start . grafico.errores . pred.tskeras . run_app . smoothing . tabla.errores . text_toDate . tskeras . var.categoricas . var.numericas .
Some associated R codes: app_config.R . app_server.R . app_ui.R . forecasteR.R . golem_utils_server.R . golem_utils_ui.R . mod_acercade.R . mod_arima.R . mod_arima_utils.R . mod_carga_datos.R . mod_carga_datos_utils.R . mod_comparacion.R . mod_deeplearning.R . mod_deeplearning_utils.R . mod_descom.R . mod_descom_utils.R . mod_desvio.R . mod_e_ingenuo.R . mod_holtwinters.R . mod_holtwinters_utils.R . mod_ingenuo.R . mod_m_descom.R . mod_normal.R . mod_normal_fct.R . mod_normal_utils.R . mod_nuevos.R . mod_periodograma.R . mod_periodograma_utils_.R . mod_promedio.R . mod_redes.R . mod_t_c.R . mod_t_c_utils.R . run_app.R . ts_utils.R . utils_inputs.R . Full forecasteR package functions and examples
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