We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
pg. 159: Do time series in general make sense to fit? If yes, then possible candidates are:
stats::ar()
stats::arima()
tseries::arma()
forecast::auto.arima()
arima
stats::StructTS()
The text was updated successfully, but these errors were encountered:
No branches or pull requests
pg. 159: Do time series in general make sense to fit? If yes, then possible candidates are:
stats::ar()
-> univariate autoregressions via ML, unrestricted VARstats::arima()
-> fits using unconditional MLtseries::arma()
-> fits using CSS (conditional sum of squares), not MLEforecast::auto.arima()
-> fits usingarima
(ML), so might just plug into existingarima
methods.stats::StructTS()
-> fits using MLEif okay, then check pages behind 159 for functions that need to plug into the methods
The text was updated successfully, but these errors were encountered: