Man pages for robertwwalker/AutoForecaster
Auto Magic Forecaster Optimizes by aicc (Auto Forecaster)

BetweenDataBetweenData: A function to create time-series cross-section...
DaysModelFitterFunction to estimate daily time series models
DaysModelPickerFunction to choose optimal daily forecast model
DayWModelFitterFunction to estimate daily seasonal time series models
DayWModelPickerFunction to choose optimal daily seasonal forecast model
FANGFANG Stock Data [FANG]
fb_returnsFacebook daily returns[fb_returns]
MonthModelFitterFunction to estimate monthly time series models
MonthModelPickerFunction to choose optimal forecast model for monthly data
NWSDPortland, Oregon Daily Weather Data [NWSD]
NWSMPortland, Oregon Monthly Weather Data [NWSM]
NWSQPortland, Oregon Quarterly Weather Data [NWSQ]
QuarterModelFitterFunction to estimate quarterly time series models
QuarterModelPickerFunction to choose optimal forecast model for quarterly data
SNWSDPDXShortened Portland, Oregon Daily Weather Data [SNWSDPDX]
TradingDayCreatorFunction to create trading days/weeks from a tsibble/grouped...
WithinDataWithinData: A function to create time-series cross-section...
xtsumxtsum: A function to create time-series cross-section...
xtsum2Time-series cross-section summaries in R 'xtsum2' returns...
robertwwalker/AutoForecaster documentation built on Dec. 22, 2021, 5:13 p.m.