How to include an AR1 model | Example | Mark start of time series and determine rho | Run model with AR1 included | Inspection of the residuals of an AR1 model | Function acf_resid | Function resid_gam | Function acf_plot | Function acf_n_plot | Function derive_timeseries

Example | Starting model | 1. Model comparison | Function compareML | Some notes on model comparison | 2. Inspection of the model summary | Using ordered factors (advanced) | 3. Visual inspection of the model's estimates | Function plot_diff | Function plot_diff2

Example | Model | Function gamtabs | Partial versus Summed effects | Inspection of summed effects | Function plot_smooth | Function fvisgam | Function plot_parametric | Inspection of partial effects | Function plot (mgcv) | Function pvisgam | Function inspect_random | Other functions | Function plot_data | Function plot_modelfit | Function plot_topo

Loading library | Example data | step 1: Prepare data | step 2: Create training data | step 3: Learning | step 4: Inspection | step 5: Visualization | Extra: Continue training | step 6: Activations

a. Surfaces | <a id="pvisgam"></a> pvisgam() | <a id="fvisgam"></a> fvisgam() | b. Smooths | <a id="plotgam1"></a> plot.gam() | <a id="plotsmooth1"></a> plot_smooth() | c. Group estimates | <a id="plotgam2"></a> plot.gam() | <a id="plotparametric"></a> plot_parametric() | Random effects | <a id="getrandom"></a>get_random() | <a id="inspectrandom"></a>inspect_random() | References

Loading library | Function add_bars | Function check_normaldist | Function dotplot_error | Function drawDevArrows | Function emptyPlot | Function errorBars | Functions getCoords, getProps, and getFigCoords | Function `gradientLegend | Function legend_margin | Function marginDensityPlot | Functions color_contour and plotsurface | Function plot_error | Function plot_image