| 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 |