Man pages for catalytic
Tools for Applying Catalytic Priors in Statistical Modeling
| cat_cox | Catalytic Cox Proportional Hazards Model (COX) Fitting... |
| cat_cox_bayes | Bayesian Estimation for Catalytic Cox Proportional-Hazards... |
| cat_cox_bayes_joint | Bayesian Estimation for Catalytic Cox Proportional-Hazards... |
| cat_cox_initialization | Initialization for Catalytic Cox proportional hazards model... |
| cat_cox_tune | Catalytic Cox Proportional-Hazards Model (COX) Fitting... |
| cat_glm | Catalytic Generalized Linear Models (GLMs) Fitting Function... |
| cat_glm_bayes | Bayesian Estimation for Catalytic Generalized Linear Models... |
| cat_glm_bayes_joint | Bayesian Estimation for Catalytic Generalized Linear Models... |
| cat_glm_bayes_joint_gibbs | Bayesian Estimation with Gibbs Sampling for Catalytic... |
| cat_glm_initialization | Initialization for Catalytic Generalized Linear Models (GLMs) |
| cat_glm_tune | Catalytic Generalized Linear Models (GLMs) Fitting Function... |
| cat_lmm | Catalytic Linear Mixed Model (LMM) Fitting Function with... |
| cat_lmm_initialization | Initialization for Catalytic Linear Mixed Model (LMM) |
| cat_lmm_tune | Catalytic Linear Mixed Model (LMM) Fitting Function by Tuning... |
| cross_validation | Perform Cross-Validation for Model Estimation |
| cross_validation_cox | Perform Cross-Validation for Catalytic Cox... |
| cross_validation_lmm | Perform Cross-Validation for Catalytic Linear Mixed Model... |
| extract_coefs | Extract and Format Model Coefficients |
| extract_dim | Extract Dimension Information from Model Initialization |
| extract_stan_summary | Extract and Format Summary of Stan Model Results |
| extract_tau_seq | Extract and Format Sequence of Tau Values |
| get_adjusted_cat_init | Adjusted Cat Initialization |
| get_cox_gradient | Compute the Gradient for Cox Proportional Hazards Model |
| get_cox_hessian | Compute the Hessian Matrix for Cox Proportional Hazards Model |
| get_cox_kappa | Estimate the kappa value for the synthetic Cox proportional... |
| get_cox_partial_likelihood | Compute the Partial Likelihood for the Cox Proportional... |
| get_cox_qr_solve | Solve Linear System using QR Decomposition |
| get_cox_risk_and_failure_sets | Calculate Risk and Failure Sets for Cox Proportional Hazards... |
| get_cox_risk_set_idx | Identify the risk set indices for Cox proportional hazards... |
| get_cox_syn_gradient | Compute the gradient of the synthetic Cox proportional... |
| get_cox_syn_hessian | Compute the Synthetic Hessian Matrix for Cox Proportional... |
| get_discrepancy | Compute Discrepancy Measures |
| get_formula_lhs | Extract Left-Hand Side of Formula as String |
| get_formula_rhs | Extract the Right-Hand Side of a Formula |
| get_formula_string | Convert Formula to String |
| get_glm_custom_var | Get Custom Variance for Generalized Linear Model (GLM) |
| get_glm_diag_approx_cov | Compute Diagonal Approximate Covariance Matrix |
| get_glm_family_string | Retrieve GLM Family Name or Name with Link Function |
| get_glm_lambda | Compute Lambda Based on Discrepancy Method |
| get_glm_log_density | Compute Log Density Based on GLM Family |
| get_glm_log_density_grad | Compute Gradient of Log Density for GLM Families |
| get_glm_mean | Compute Mean Based on GLM Family |
| get_glm_sample_data | Generate Sample Data for GLM |
| get_hmc_mcmc_result | Run Hamiltonian Monte Carlo to Get MCMC Sample Result |
| get_linear_predictor | Compute Linear Predictor |
| get_resampled_df | Resampling Methods for Data Processing |
| get_standardized_data | Standardize Data |
| get_stan_model | Generate Stan Model Based on Specified Parameters |
| hmc_neal_2010 | Hamiltonian Monte Carlo (HMC) Implementation |
| is.continuous | Check if a Variable is Continuous |
| mallowian_estimate | Perform Mallowian Estimate for Model Risk (Only Applicable... |
| parametric_bootstrap | Perform Parametric Bootstrap for Model Risk Estimation |
| plot.cat_tune | Plot Likelihood or Risk Estimate vs. Tau for Tuning Model |
| predict.cat_cox | Predict Linear Predictor for New Data Using a Fitted Cox... |
| predict.cat_glm | Predict Outcome for New Data Using a Fitted GLM Model |
| predict.cat_lmm | Predict Linear Predictor for New Data Using a Fitted Linear... |
| print.cat | Print Method for 'cat' Object |
| print.cat_bayes | Print Summary of 'cat_bayes' Model |
| print.cat_gibbs | Print Summary of 'cat_gibbs' Model |
| print.cat_initialization | Print Summary for Catalytic Initialization Model |
| print.cat_tune | Print Method for 'cat_tune' Object |
| print_df_head_tail | Print Data Frame with Head and Tail Rows |
| print_glm_bayes_joint_binomial_suggestion | Generate Suggestions for Bayesian Joint Binomial GLM... |
| steinian_estimate | Perform Steinian Estimate for Model Risk (Only Applicable for... |
| swim | Simulated SWIM Dataset with Binary Response |
| traceplot | Traceplot for Bayesian Model Sampling |
| traceplot.cat_bayes | Traceplot for Bayesian Sampling Model |
| traceplot.cat_gibbs | Traceplot for Gibbs Sampling Model |
| update_lmm_variance | Calculates the log-likelihood for linear mixed models (LMMs)... |
| validate_cox_initialization_input | Validate Inputs for Catalytic Cox proportional hazards model... |
| validate_cox_input | Validate Inputs for Catalytic Cox Model |
| validate_glm_initialization_input | Validate Inputs for Catalytic Generalized Linear Models... |
| validate_glm_input | Validate Inputs for Catalytic Generalized Linear Models... |
| validate_lmm_initialization_input | Validate Inputs for Catalytic Linear Mixed Model (LMM)... |
| validate_lmm_input | Validate Inputs for Catalytic Linear Mixed Model (LMM) |
| validate_positive | Validate Positive or Non-negative Parameter |
