R: Nonlinear Time Series Analysis

# Nonlinear Time Series Analysis

## Documentation for package ‘nlts’ version 1.0-2

- DESCRIPTION file

## Help Pages

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