# Interpreting Time Series and Autocorrelated Data Using GAMMs

## Documentation for package ‘itsadug’ version 2.4.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

acf_n_plots | Generate N ACF plots of individual or aggregated time series.
acf_plot | Generate an ACF plot of an aggregated time series.
acf_resid | Generate an ACF plot of model residuals. Works for lm, lmer, gam, bam, ....
check_resid | Inspect residuals of regression models.
compareML | Function for comparing two GAMM models.
convertNonAlphanumeric | Prepare string for regular expressions (backslash for all non-letter and non-digit characters)
corfit | Calculate the correlation between the fitted model and data.
derive_timeseries | Derive the time series used in the AR1 model.
diagnostics | Visualization of the model fit for time series data.
diff_terms | Compare the formulas of two models and return the difference(s).
dispersion | Calculate the dispersion of the residuals
eeg | Raw EEG data, single trial, 50Hz.
fadeRug | Fade out the areas in a surface without data.
find_difference | Return the regions in which the smooth is significantly different from zero.
fvisgam | Visualization of nonlinear interactions, summed effects.
gamtabs | Convert model summary into Latex/HTML table for knitr/R Markdown reports.
get_coefs | Get coefficients for the parametric terms (intercepts and random slopes).
get_difference | Get model predictions for differences between conditions.
get_fitted | Get model all fitted values.
get_modelterm | Get estimated for selected model terms.
get_pca_predictions | Return PCA predictions.
get_predictions | Get model predictions for specific conditions.
get_random | Get coefficients for the random intercepts and random slopes.
info | Information on how to cite this package
infoMessages | Turn on or off information messages.
inspect_random | Inspection and interpretation of random factor smooths.
itsadug | Interpreting Time Series, Autocorrelated Data Using GAMMs (itsadug)
missing_est | Return indices of data that were not fitted by the model.
modeledf | Retrieve the degrees of freedom specified in the model.
observations | Number of observations in the model.
plotDiff | Plot difference curve based on model predictions.
plotDiff2D | Plot difference surface based on model predictions.
plot_data | Visualization of the model fit for time series data.
plot_diff | Plot difference curve based on model predictions.
plot_diff2 | Plot difference surface based on model predictions.
plot_modelfit | Visualization of the model fit for time series data.
plot_parametric | Visualization of group estimates.
plot_pca_surface | Visualization of the effect predictors in nonlinear interactions with principled components.
plot_smooth | Visualization of smooths.
plot_topo | Visualization of EEG topo maps.
print_summary | Print a named list of strings, output from 'summary_data'.
pvisgam | Visualization of partial nonlinear interactions.
refLevels | Return a list with reference levels for each factor.
report_stats | Returns a description of the statistics of the smooth terms for reporting.
resid.gam | Extract model residuals and remove the autocorrelation accounted for.
resid_gam | Extract model residuals and remove the autocorrelation accounted for.
res_df | Retrieve the residual degrees of freedom from the model.
rug_model | Add rug to plot, based on model.
simdat | Simulated time series data.
start_event | Determine the starting point for each time series.
start_value_rho | Extract the Lag 1 value from the ACF of the residuals of a gam, bam, lm, lmer model, ...
summary_data | Print a descriptive summary of a data frame.
timeBins | Label timestamps as timebins of a given binsize.
wald_gam | Function for post-hoc comparison of the contrasts in a single GAMM model.