yvesmauron/univariate-time-series-forecasting
Intelligent Algorithms to be Integrated in Business Intelligence solutions.

Package index
Search the yvesmauron/univariate-time-series-forecasting package
Vignettes
Functions
175
Source code
8
Man pages
88
Home
/
GitHub
/
yvesmauron/univariate-time-series-forecasting: Intelligent Algorithms to be Integrated in Business Intelligence solutions.
/
API

API for yvesmauron/univariate-time-series-forecasting
Intelligent Algorithms to be Integrated in Business Intelligence solutions.

Global functions
.rx_forecast Man page
accuracy Man page Source code
accuracy_detail Man page Source code
accuracy_summary Man page Source code
ae Man page Source code
ape Man page Source code
ase Man page Source code
auto_arima Man page Source code
auto_ces Man page Source code
auto_damped Man page Source code
auto_dotm Man page Source code
auto_ets Man page Source code
auto_holt Man page Source code
auto_naive Man page Source code
auto_nnar Man page Source code
auto_ses Man page Source code
auto_shd Man page Source code
auto_snaive Man page Source code
auto_theta Man page Source code
auto_thetaf Man page Source code
boxcox Man page Source code
combine_theta_lines Man page Source code
date_increment Man page Source code
decimal_to_date Man page Source code
diff Man page Source code
exp_inverse Man page Source code
forecast_forunco Man page Source code
forunco Man page Source code
g_mean Man page Source code
generic_combine Man page Source code
generic_forecast Man page Source code
gmae Man page Source code
gmrae Man page Source code
inv_boxcox Man page Source code
inv_diff Man page Source code
inv_log Man page Source code
inv_no_pp Man page Source code
inv_normalize Man page Source code
inv_scale Man page Source code
inv_seasonal_adjustment Man page Source code
inverse Man page Source code
is_seasonal Man page Source code
log Man page Source code
mae Man page Source code
mape Man page Source code
mase Man page Source code
mdrae Man page Source code
mrae Man page Source code
mse Man page Source code
msis Man page Source code
no_pp Man page Source code
normalize Man page Source code
plot_forunco Man page Source code
pool_mean Man page Source code
pool_median Man page Source code
preprocessor Man page Source code
produce_forecasts Man page Source code
rae Man page Source code
replace_outliers Man page Source code
rmse Man page Source code
rx_sql_forunco Man page Source code
sape Man page Source code
sase Man page Source code
scale Man page Source code
se Man page Source code
seasonal_adjustment Man page Source code
shd Man page Source code
simple_combination Man page Source code
smape Man page Source code
smase Man page Source code
squared_inverse Man page Source code
theta_aea Man page Source code
theta_aem Man page Source code
theta_ala Man page Source code
theta_alm Man page Source code
theta_fit Man page Source code
theta_forecast Man page Source code
theta_line Man page Source code
theta_line_zero Man page Source code
theta_mea Man page Source code
theta_mem Man page Source code
theta_mla Man page Source code
theta_mlm Man page Source code
tidier_ts Man page Source code
time_sequence Man page Source code
validation_split Man page Source code
weight_error Man page Source code
weighted_average Man page Source code
yvesmauron/univariate-time-series-forecasting documentation built on March 2, 2020, 12:20 a.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close