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

.Rbuildignore
.gitignore
DESCRIPTION
Dockerfile
LICENSE
NAMESPACE
R/ts_accuracy.R R/ts_combination.R R/ts_forecast.R R/ts_helper.R R/ts_operators.R R/ts_plot.R R/ts_predictors.R R/ts_preprocess.R README.md
data/apple.RData
docs/.gitkeep
docs/GettingStarted.pdf docs/PackageManagement.md docs/forunco_0.0.0.9.pdf
docs/img/high_level_algorithm.png
man/accuracy.Rd man/accuracy_detail.Rd man/accuracy_summary.Rd man/ae.Rd man/ape.Rd man/ase.Rd man/auto_arima.Rd man/auto_ces.Rd man/auto_damped.Rd man/auto_dotm.Rd man/auto_ets.Rd man/auto_holt.Rd man/auto_naive.Rd man/auto_nnar.Rd man/auto_ses.Rd man/auto_shd.Rd man/auto_snaive.Rd man/auto_theta.Rd man/auto_thetaf.Rd man/boxcox.Rd man/combine_theta_lines.Rd man/date_increment.Rd man/decimal_to_date.Rd man/diff.Rd man/dot-rx_forecast.Rd man/exp_inverse.Rd man/forecast_forunco.Rd man/forunco.Rd man/g_mean.Rd man/generic_combine.Rd man/generic_forecast.Rd man/gmae.Rd man/gmrae.Rd man/inv_boxcox.Rd man/inv_diff.Rd man/inv_log.Rd man/inv_no_pp.Rd man/inv_normalize.Rd man/inv_scale.Rd man/inv_seasonal_adjustment.Rd man/inverse.Rd man/is_seasonal.Rd man/log.Rd man/mae.Rd man/mape.Rd man/mase.Rd man/mdrae.Rd man/mrae.Rd man/mse.Rd man/msis.Rd man/no_pp.Rd man/normalize.Rd man/plot_forunco.Rd man/pool_mean.Rd man/pool_median.Rd man/preprocessor.Rd man/produce_forecasts.Rd man/rae.Rd man/replace_outliers.Rd man/rmse.Rd man/rx_sql_forunco.Rd man/sape.Rd man/sase.Rd man/scale.Rd man/se.Rd man/seasonal_adjustment.Rd man/shd.Rd man/simple_combination.Rd man/smape.Rd man/smase.Rd man/squared_inverse.Rd man/theta_aea.Rd man/theta_aem.Rd man/theta_ala.Rd man/theta_alm.Rd man/theta_fit.Rd man/theta_forecast.Rd man/theta_line.Rd man/theta_line_zero.Rd man/theta_mea.Rd man/theta_mem.Rd man/theta_mla.Rd man/theta_mlm.Rd man/tidier_ts.Rd man/time_sequence.Rd man/validation_split.Rd man/weight_error.Rd man/weighted_average.Rd
sql/usp_forunco.sql
yvesmauron/univariate-time-series-forecasting documentation built on March 2, 2020, 12:20 a.m.