Function reference • eggla

EGG Longitudinal Analysis Workflow

Main functions to run EGG Longitudinal Analysis

run_eggla_lmm(): Perform EGG longitudinal analysis and derived areas under the curves and slopes.

run_eggla_gwas(): Perform GWAS using PLINK2 (and BCFtools)

Cubic Splines (Random Cubic/Linear Splines) Functions

Functions dedicated to work with cubic Splines mixed model.

egg_model(): Fit a cubic splines mixed model.

egg_aucs(): Derived areas under the curve from a cubic splines mixed-effects model by egg_model().

egg_slopes(): Derived slopes from a cubic splines mixed-effects model by egg_model().

egg_correlations(): Compute the derived parameters correlations from a cubic splines mixed-effects model by egg_model().

egg_outliers(): Compute outliers detection in AUCs/Slopes derived parameters from a cubic splines mixed-effects model by egg_model().

plot_egg_aucs(): Plot derived area under the curves from a model fitted by egg_model().

plot_egg_slopes(): Plot derived slopes from a model fitted by egg_model().

Datasets

bmigrowth: BMI Measurements For 100 Individuals From 0 To 17 Years.

General Functions

General functions to work with linear splines, cubic splines, and cubic slopes mixed model.

time_model(): Fit one of three mixed model.

predict_bmi(): Predict BMI for a range of ages from a model fit.

compute_apar(): Compute adiposity peak (AP) and adiposity rebound (AR).

plot_residuals(): Plot several residuals plots for diagnostics.

compute_aucs(): Compute area under the curves for several intervals using a model fitted by time_model().

plot_aucs(): Plot derived area under the curves from a model fitted by time_model().

compute_slopes(): Predict average slopes for several intervals using a model fitted by time_model().

plot_slopes(): Plot derived slopes from a model fitted by time_model().

compute_correlations(): Compute the derived parameters correlations from a cubic splines mixed-effects model by time_model().

compute_outliers(): Compute outliers detection in derived parameters from a cubic splines mixed-effects model by time_model().

gsp(): General regression splines with variable degrees and ness, smoothing splines.