Short Asynchronous Time-Series Analysis

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Documentation for package ‘santaR’ version 1.2.4

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

Help Pages

santaR-package	santaR: A package for Short AsyNchronous Time-series Analysis in R
acuteInflammation	Measurement of 22 inflammatory mediators across time
AICc_smooth_spline	Calculate the Akaike Information Criterion Corrected for small observation numbers for a smooth.spline
AIC_smooth_spline	Calculate the Akaike Information Criterion for a smooth.spline
BIC_smooth_spline	Calculate the Bayesian Information Criterion for a smooth.spline
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	santaR: A package for Short AsyNchronous Time-series Analysis in R
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_CBand	Compute Group Mean Curve Confidence Bands
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_mean	Mean scaling of each column
scaling_UV	Unit-Variance scaling of each column