Interpreting Time Series and Autocorrelated Data Using GAMMs


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Documentation for package ‘itsadug’ version 0.8

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itsadug-package Interpreting Time Series, Autocorrelated Data Using GAMMs (itsadug)
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, ....
addInterval Utility function.
alpha Utility function.
alphaPalette Utility function.
check_normaldist Compare distribution of data with normal distribution.
check_resid Inspect residuals of regression models.
compareML Function for comparing two GAMM models.
diff_terms Utility unction.
dotplot_error Utility function
emptyPlot Utility function
errorBars Utility function.
fadeRug Utility function.
fill_area Utility function
findAbsMin Utility function.
find_difference Find the regions in which the smooth is significantly different from zero.
find_n_neighbors Utility function.
fvisgam Visualization of nonlinear interactions.
gamtabs Convert the summary into a Latex table.
getCoords Utility function.
get_difference Get model predictions for differences between conditions.
get_modelterm Get estimated for selected model terms.
get_predictions Get model predictions for specific conditions.
get_random Get model predictions for the random effects.
gradientLegend Utility function.
group_sort Utility function.
horiz_error Utility function.
info Information on how to cite this package
itsadug Interpreting Time Series, Autocorrelated Data Using GAMMs (itsadug)
missing_est Utility unction.
move_n_point Utility function.
plotDiff Plot difference curve based on model predictions.
plotDiff2D Plot difference surface based on model predictions.
plot_diff Plot difference curve based on model predictions.
plot_diff2 Plot difference surface based on model predictions.
plot_error Utility function
plot_parametric Visualization of group estimates.
plot_smooth Visualization of smooths.
print_summary Utility function.
pvis.gam Visualization of nonlinear interactions.
pvisgam Visualization of nonlinear interactions.
resid.gam Extract model residuals and remove the autocorrelation accounted for.
resid_gam Extract model residuals and remove the autocorrelation accounted for.
se Calculate standard error of the mean.
simdat Simulated time series data.
start_event Determine the starting point for each time series.
summary_data Utility function.
vis.gam2 Visualization of nonlinear interactions.