Computes least-squares or method of moments estimates
of parameters , arma

Computes maximum likelihood estimates of
parameters , max_arma

Computes forecasts and
their associated probability limits , arma_forecast

Fits a univariate seasonal or non-seasonal ARIMA time
series model , arima

Fits a univariate, non-seasonal ARIMA time
series model , regression_arima

Automatic selection and fitting of a univariate
autoregressive time series model. , auto_uni_ar

Estimates the optimum seasonality parameters for a
time series using an autoregressive model , seasonal_fit

Detects and determines outliers and simultaneously estimates
the model parameters in a time series , ts_outlier_identification

Computes forecasts for an outlier contaminated
time series , ts_outlier_forecast

Automatic ARIMA modeling and forecasting in the
presence of possible outliers , auto_arima

Estimates structural breaks in non-stationary
univariate time series models , auto_parm

Decomposes a time series into trend, seasonal, and an
error component , bayesian_seasonal_adj

Performs a Box-Cox transformation , box_cox_transform

Performs differencing on a time series , difference

Sample autocorrelation function , autocorrelation

Computes the sample cross
correlation function , crosscorrelation

Computes the multichannel cross-correlation
function , multi_crosscorrelation

Sample partial autocorrelation function , partial_autocorrelation

Lack-of-fit test based on the correlation function , lack_of_fit

Estimates missing values in a time series , estimate_missing

Holt-Winters additive or multiplicative method , hw_time_series

Computes estimates of the parameters of a GARCH
(p,q) model , garch

Performs Kalman filtering and evaluates the likelihood
function for the state‑space model , kalman

Estimates a vector auto-regressive time series model
with optional moving average components , vector_autoregression