add.test |
Lagrange multiplier test for additivity in a timeseries |
contingency.periodogram |
The contingency periodogram for periodicity in categorical time series |
lin.order.cls |
The order of a time series using cross-validation of the linear autoregressive model (conditional least-squares). |
lin.test |
A Tukey one-degree-of-freedom test for linearity in time series. |
ll.edm |
Nonlinear forecasting of local polynomial 'empirical dynamic model'. |
ll.order |
Consistent nonlinear estimate of the order using local polynomial regression. |
lpx |
Utility function |
mkx |
Utility function |
plodia |
Time series of Meal Moth abundance |
plot.contingency.periodogram |
Plot contingency periodograms |
plot.lin.order |
Plot linear cross-validation for time-series order |
plot.ll.order |
Plot nonparametric cross-validation for time-series order |
plot.lomb |
Plot Lomb periodograms |
plot.ppll |
Plot function for prediction profile objects |
plot.specar.ci |
Plot ar-spectra with CI's |
portman.Q |
Ljung-Box test for whiteness in a time series. |
predict.ll.order |
Predict values from ll.order object. |
prediction.profile.ll |
Nonlinear forecasting at varying lags using local polynomial regression. |
print.ll.order |
Print nonparametric cross-validation for time-series order |
print.ppll |
Nonlinear forecasting at varying lags using local polynomial regression. |
spec.lomb |
The Lomb periodogram for unevenly sampled data |
specar.ci |
Confidence interval for the ar-spectrum and the dominant period. |
summary.lin.order |
Summarize linear cross-validation for time-series order |
summary.ll.order |
Summarize nonparametric cross-validation for time-series order |
summary.lomb |
Summarizes Lomb periodograms |
summary.specar.ci |
Summarize ar-spectra with CI's |