R: Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data

# Spline-Based Nonlinear Modeling for Multilevel and Longitudinal Data

## Documentation for package ‘MultiSpline’ version 0.2.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

nl_compare | Built-in model comparison workflow
nl_derivatives | Compute first and second derivatives of the fitted spline curve
nl_fit | Fit a nonlinear (spline or GAM) single-level or multilevel model
nl_het | Cluster heterogeneity in nonlinear effects
nl_icc | Intraclass correlation coefficients for a multilevel nl_fit model
nl_knots | Automatic knot / degrees-of-freedom selection for spline models
nl_plot | Plot predictions and derivatives from nl_fit models
nl_predict | Generate predictions from an nl_fit model
nl_r2 | Multilevel R-squared decomposition for nl_fit models
nl_summary | Tidy coefficient table for an nl_fit model
nl_turning_points | Identify turning points and inflection regions
print.nl_fit | Print method for nl_fit objects
print.summary_nl_fit | Print method for summary_nl_fit objects
summary.nl_fit | Summary method for nl_fit objects