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 0.2.1

- 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 function for post-processing
expose_model_functions.bgmfit | Expose user defined Stan function 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 | Compare growth parameters
growthparameters_comparison.bgmfit | Compare growth parameters
loo_validation | Perform leave-one-out (loo) cross-validation
loo_validation.bgmfit | Perform leave-one-out (loo) cross-validation
marginal_comparison | Compare growth curves
marginal_comparison.bgmfit | Compare growth curves
marginal_draws | Fitted (expected) values from the posterior draws
marginal_draws.bgmfit | Fitted (expected) values from the posterior draws
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