R: Time Series Prediction with Integrated Tuning

# Time Series Prediction with Integrated Tuning

## Documentation for package ‘tspredit’ version 2.0.707

- DESCRIPTION file.

## Help Pages

adjust_ts_data | Adjust 'ts_data'
adjust_ts_data_mv | Adjust 'ts_data_mv'
bioenergy | FAOSTAT Bioenergy Database
CATS | CATS Time Series Competition
climate | FAOSTAT Temperature Change on Land
do_fit | Fit Time Series Model
do_predict | Predict Time Series Model
emissions | FAOSTAT Emissions Totals
EUNITE.Loads | EUNITE Competition – Half-Hourly Electrical Loads
EUNITE.Reg | EUNITE Competition – Regressors for Load Forecasting
EUNITE.Temp | EUNITE Competition – Average Daily Temperatures
fertilizers | FAOSTAT Fertilizers by Nutrient
gdp | Gross Domestic Product and Agriculture Value Added
ipeadata.d | Ipea Daily Macroeconomic Dataset
ipeadata.m | Ipea Monthly Macroeconomic Dataset
loadfulldata | Load Full Dataset From Mini Data Object
m1 | M1 Competition Time Series
m3 | M3 Competition Time Series
m4 | M4 Competition Time Series
MSE.ts | MSE
NN3 | NN3 Time Series Competition - Dataset A
NN5 | NN5 Time Series Competition
pesticides | Pesticides Use Statistics
plot_ts_pred_mv | Plot Multivariate Forecast Paths
R2.ts | R2
SantaFe.A | Santa Fe Time Series Competition - Series A
SantaFe.D | Santa Fe Time Series Competition - Series D
select_hyper.ts_tune | Select Optimal Hyperparameters for Time Series Models
sMAPE.ts | sMAPE
stocks | IBOVESPA's 50 Most Traded Stocks
tsanutils | Adaptive Normalization Utilities
tsd | Time series for forecasting examples
tslagutils | Time Series Lag Utilities
ts_arima | ARIMA
ts_arimax | ARIMAX
ts_aug_awareness | Augmentation by Awareness
ts_aug_awaresmooth | Augmentation by Awareness Smooth
ts_aug_flip | Augmentation by Flip
ts_aug_jitter | Augmentation by Jitter
ts_aug_none | No Augmentation
ts_aug_shrink | Augmentation by Shrink
ts_aug_stretch | Augmentation by Stretch
ts_aug_wormhole | Augmentation by Wormhole
ts_darima | DARIMA
ts_data | ts_data
ts_data_mv | Multivariate Time Series Data
ts_deterministic | Deterministic Univariate Predictor
ts_elm | ELM
ts_fil_ema | Exponential Moving Average (EMA)
ts_fil_emd | EMD Filter
ts_fil_fft | FFT Filter
ts_fil_hp | Hodrick-Prescott Filter
ts_fil_kalman | Kalman Filter
ts_fil_lowess | LOWESS Smoothing
ts_fil_ma | Moving Average (MA)
ts_fil_none | No Filter
ts_fil_qes | Quadratic Exponential Smoothing
ts_fil_recursive | Recursive Filter
ts_fil_remd | Robust EMD Filter
ts_fil_seas_adj | Seasonal Adjustment
ts_fil_ses | Simple Exponential Smoothing
ts_fil_smooth | Time Series Smooth
ts_fil_spline | Smoothing Splines
ts_fil_wavelet | Wavelet Filter
ts_fil_winsor | Winsorization of Time Series
ts_head | Extract the First Observations from a 'ts_data' Object
ts_integtune | Time Series Integrated Tune
ts_knn | KNN Time Series Prediction
ts_lagmap | Lag Mapping for Sliding-Window Predictors
ts_lm_mv | Multivariate Linear Regression
ts_mlp | MLP
ts_mv_spec | Multivariate Model Specification
ts_norm_an | Adaptive Normalization
ts_norm_diff | First Differences
ts_norm_gminmax | Global Min–Max Normalization
ts_norm_none | No Normalization
ts_norm_swminmax | Sliding-Window Min–Max Normalization
ts_periodic | Periodic Deterministic Predictor
ts_persist | Persistence Deterministic Predictor
ts_projection | Time Series Projection
ts_reg | TSReg
ts_regsw | TSRegSW
ts_regsw_mv | Multivariate Sliding-Window Regressor
ts_reg_mv | Target-Centered Multivariate Regression Base
ts_rf | Random Forest
ts_sample | Time Series Sample
ts_svm | SVM
ts_tune | Time Series Tune
ts_var | Vector Autoregression
ts_warma | WARMA
[.ts_data | Subset Extraction for Time Series Data