AIC_smooth_spline       Calculate the Akaike Information Criterion for
                        a smooth.spline
AICc_smooth_spline      Calculate the Akaike Information Criterion
                        Corrected for small observation numbers for a
                        smooth.spline
BIC_smooth_spline       Calculate the Bayesian Information Criterion
                        for a smooth.spline
acuteInflammation       Measurement of 22 inflammatory mediators across
                        time
get_eigen_DF            Compute the optimal df and weighted-df using 5
                        spline fitting metric
get_eigen_DFoverlay_list
                        Plot for each eigenSpline the automatically
                        fitted spline, splines for all df and a spline
                        at a chosen df
get_eigen_spline        Compute eigenSplines across a dataset
get_eigen_spline_matrix
                        Generate a Ind x Time + Var data.frame
                        concatenating all variables from input variable
get_grouping            Generate a matrix of group membership for all
                        individuals
get_ind_time_matrix     Generate a Ind x Time DataFrame from input data
get_param_evolution     Compute the value of different fitting metrics
                        over all possible df for each eigenSpline
loglik_smooth_spline    Calculate the penalised loglikelihood of a
                        smooth.spline
plot_nbTP_histogram     Plot an histogram of the number of
                        time-trajectories with a given number of
                        time-points
plot_param_evolution    Plot the evolution of different fitting
                        parameters across all possible df for each
                        eigenSpline
santaR                  santaR: A package for Short AsyNchronous
                        Time-series Analysis in R
santaR_CBand            Compute Group Mean Curve Confidence Bands
santaR_auto_fit         Automate all steps of santaR fitting,
                        Confidence bands estimation and p-values
                        calculation for one or multiple variables
santaR_auto_summary     Summarise, report and save the results of a
                        santaR analysis
santaR_fit              Generate a SANTAObj for a variable
santaR_plot             Plot a SANTAObj
santaR_pvalue_dist      Evaluate difference in group trajectories based
                        on the comparison of distance between group
                        mean curves
santaR_pvalue_dist_within
                        Evaluate difference between a group mean curve
                        and a constant model
santaR_pvalue_fit       Evaluate difference in group trajectories based
                        on the comparison of model fit (F-test) between
                        one and two groups
santaR_pvalue_fit_within
                        Evaluate difference between a group mean curve
                        and a constant model using the comparison of
                        model fit (F-test)
santaR_start_GUI        santaR Graphical User Interface
scaling_UV              Unit-Variance scaling of each column
scaling_mean            Mean scaling of each column
