R: Short Asynchronous Time-Series Analysis

# Short Asynchronous Time-Series Analysis

## Documentation for package ‘santaR’ version 1.2.4

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

## 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