Reference

All functions
armagarchf()	ARMA(1, 1)-GARCH(1, 1) forecasting (with simulation)
basicf()	Basic forecasting (mean, median, random walk)
comb_GLMNET()	GLMNET Regression Forecast Combination
comb_OLS()	Ordinary Least Squares Forecast Combination
comb_Ridge()	Ridge Regression Forecast Combination
computeattention()	Compute global attention weights and context vectors for time series
conformalize()	Conformalize a forecasting function
createtrendseason()	Create trend and seasonality features for univariate time series
direct_sampling()	Direct sampling
dynrmf()	Dynamic regression model
eatf()	Combined ets-arima-theta forecasts
fit_func()	Fit univariate time series using caret ML model (for use with dynrmf)
fitforecast()	Fit and forecast for benchmarking purposes
genericforecast()	Generic Forecasting Function (Unified interface)
get_error()	Get error metrics
getreturns()	Calculate returns or log-returns for multivariate time series
getsimulations()	Obtain simulations (when relevant) from a selected time series
glmthetaf()	Generalized Linear Model Theta Forecast
loessf()	Loess forecasting
loocvridge2f()	LOOCV for Ridge2 model
mlarchf()	Conformalized Forecasting using Machine Learning models with ARCH effects
mlf()	Conformalized Forecasting using Machine Leaning models
plot(<foreccomb_res>)	Plot results from forecast combination model
plot(<mtsforecast>)	Plot multivariate time series forecast or residuals
predict(<foreccomb_res>)	Prediction function for Forecast Combinations
predict_func()	Predict univariate time series using caret ML model(for use with dynrmf)
ridge2f()	Ridge2 model
rmultivariate()	Simulate multivariate data
splitts()	Partition a time series object
summary(<foreccomb_res>) print(<foreccomb_res_summary>)	Summary of Forecast Combination
varf()	Vector Autoregressive model (adapted from vars::VAR)