Man pages for cfhammill/hierarchyTrees
Code for testing taxonomy tree models
| add_effectD | Increment volumes |
| aggregate_volsD | Recompute volumes for non-leaf nodes |
| child_of | Check parent |
| compile_models | Compile a tree model |
| compute_differences | Compute the difference in beta between parent and child |
| compute_marg_lik | Compute marginal information criteria for some bayesian... |
| compute_subject_error | Compute subject specific sum of squares |
| create_tree | Generate a simulated tree |
| edt | Fit the effect diffusion tree |
| effect_areas | Effect areas |
| extract_data | Get the data for a model, useful in the case of no-pooling... |
| extract_y | Get the y value for a model, useful in the case of no-pooling... |
| fitted_ept | Get the fitted value from an ept model |
| fitted_np | Get the fitted values from a list of unpooled models |
| fix_names_and_plot | Fix node names and plot a tree |
| get_data_requirements | Check the data requirements for a stan model |
| get_ept_results | Extract the salient results from an ept mod |
| get_fitted | Get the fitted values from bayesian hierarchical linear... |
| get_fp_results | Extract the salient results from an stan_glmer model |
| get_h2sglm_results | Extract the salient results from an stan_glmer model |
| get_hsglm_results | Extract the salient results from an stan_glmer model |
| get_np_results | Extract the salient results from an stan_glmer model |
| get_sglm_results | Extract the salient results from an stan_glmer model |
| h0 | Fit a flat hierarchical model |
| h1 | Fit a one-parent hierarchical model |
| h2 | Fit a two-parent hierarchical model |
| logLik_ept | Compute the likelihood for a tree model |
| logLik_ept_nocluster | Compute the marginal likelihood of a data point |
| logLik_np | Compute the likelihood for a tree model |
| logLik_sglm_nocluster | Compute the marginal likelihood of a data point |
| node_numbers | Get node numbers |
| np | Fit the no-pooling model |
| npcv | Fit the no-pooling model with brain volume covaried |
| parent_index | Find the parent indices for each node |
| post_pred | Get posterior predictions from a bayesian hierarchical linear... |
| pw_effect_loglik | Effect likelihoods |
| requirements_to_skeleton | Create a data skeleton for a model |
| scale_volumesD | Scale node volumes up |
| set_leavesD | Set leaves |
| summarize_model | Summarize a bayesian linear model |
| tag_volume_frame | Associate metadata with a volume tree frame |
| tree_to_edt_data | Convert a tree and metadata into useable data for... |
| tree_to_ept_data | Convert a tree and metadata into useable data for ept data |
| tree_to_volume_frame | Convert a volume tree to a data.frame |
| tree_to_volume_frame_new | Convert a volume tree to a data.frame |
