R: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis

# Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis

## Documentation for package ‘bsitar’ version 0.3.2

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

## Help Pages

add_model_criterion | Add Model Fit Criteria to Model
add_model_criterion.bgmfit | Add Model Fit Criteria to Model
berkeley | Berkeley Child Guidance Study Data
berkeley_exdata | Berkeley Child Guidance Study Data for Females
berkeley_exfit | Model Fit to the Berkeley Child Guidance Study Data for Females
bsitar | Fit Bayesian SITAR Growth Curve Model
expose_model_functions | Expose User-Defined Stan Functions for Post-Processing
expose_model_functions.bgmfit | Expose User-Defined Stan Functions for Post-Processing
fitted_draws | Fitted (Expected) Values from the Posterior Draws
fitted_draws.bgmfit | Fitted (Expected) Values from the Posterior Draws
getNsObject | Check and Get Namespace Object If Exists
growthparameters | Estimate Growth Parameters from the Model Fit
growthparameters.bgmfit | Estimate Growth Parameters from the Model Fit
growthparameters_comparison | Estimate and Compare Growth Parameters
growthparameters_comparison.bgmfit | Estimate and Compare Growth Parameters
loo_validation | Perform leave-one-out (LOO) cross-validation
loo_validation.bgmfit | Perform leave-one-out (LOO) cross-validation
marginal_comparison | Estimate and compare growth curves
marginal_comparison.bgmfit | Estimate and compare growth curves
marginal_draws | Estimate growth curves
marginal_draws.bgmfit | Estimate growth curves
optimize_model | Optimize SITAR Model
optimize_model.bgmfit | Optimize SITAR Model
plot_conditional_effects | Visualize conditional effects of predictor
plot_conditional_effects.bgmfit | Visualize conditional effects of predictor
plot_curves | Plot Growth Curves
plot_curves.bgmfit | Plot Growth Curves
plot_ppc | Perform posterior predictive distribution checks
plot_ppc.bgmfit | Perform posterior predictive distribution checks
predict_draws | Predicted values from the posterior predictive distribution
predict_draws.bgmfit | Predicted values from the posterior predictive distribution
update_model | Update model
update_model.bgmfit | Update model