Man pages for drkowal/rSTAR
MCMC and EM algorithms for Simultaneous Transformation and Rounding (STAR) Models
| a_j | Inverse rounding function |
| a_j_round | Inverse rounding function: usual rounding + bounds |
| bart_star_MCMC | MCMC Algorithm for BART-STAR |
| bart_star_MCMC_ispline | MCMC sampler for BART-STAR with a monotone spline model for... |
| BrentMethod | Brent's method for optimization |
| computeTimeRemaining | Estimate the remaining time in the MCMC based on previous... |
| credBands | Compute Simultaneous Credible Bands |
| ergMean | Compute the ergodic (running) mean. |
| expectation2_gRcpp | Compute E(Y^2) for a STAR process |
| expectation_gRcpp | Estimate the mean for a STAR process |
| expectation_identity | Estimate the mean for a STAR process |
| expectation_log | Estimate the mean for a STAR process |
| expectation_sqrt | Estimate the mean for a STAR process |
| Gauss_MCMC | MCMC Algorithm for conditional Gaussian likelihood |
| Gauss_sparse_means | Stochastic search for the sparse normal means model |
| g_bc | Box-Cox transformation |
| gbm_star | EM Algorithm for STAR Gradient Boosting Machines |
| g_bnp | Bayesian bootstrap-based transformation |
| g_bnp_sparse_means | Bayesian bootstrap-based transformation for sparse means |
| g_cdf | Cumulative distribution function (CDF)-based transformation |
| getEffSize | Summarize of effective sample size |
| g_inv_approx | Approximate inverse transformation |
| g_inv_bc | Inverse Box-Cox transformation |
| g_wcdf | Weighted cumulative distribution function (CDF)-based... |
| init_params_additive | Initialize the parameters for an additive model |
| init_params_additive0 | Initialize the parameters for an additive model |
| init_params_lm | Initialize the parameters for a linear regression |
| init_params_lm_gprior | Initialize the parameters for a linear regression |
| init_params_lm_hs | Initialize the parameters for a linear regression |
| init_params_mean | Initialize the parameters for a simple mean-only model |
| interval_gRcpp | Estimate confidence intervals/bands for a STAR process |
| invlogit | Compute the inverse log-odds |
| logit | Compute the log-odds |
| logLikePointRcpp | Compute the pointwise log-likelihood for STAR |
| logLikeRcpp | Compute the log-likelihood for STAR |
| plot_coef | Plot the estimated regression coefficients and credible... |
| plot_fitted | Plot the fitted values and the data |
| plot_pmf | Plot the empirical and model-based probability mass functions |
| pmaxRcpp | pmax() in Rcpp |
| pminRcpp | pmin() in Rcpp |
| randomForest_star | EM Algorithm for Random Forest STAR |
| round_floor | Rounding function |
| rtruncnormRcpp | Sample from a truncated normal distribution |
| sampleFastGaussian | Sample a Gaussian vector using the fast sampler of... |
| sample_params_additive | Sample the parameters for an additive model |
| sample_params_additive0 | Sample the parameters for an additive model |
| sample_params_lm | Sample the parameters for a linear regression |
| sample_params_lm_gprior | Sample the parameters for a linear regression |
| sample_params_lm_hs | Sample the parameters for a linear regression |
| sample_params_mean | Sample the parameters for a simple mean-only model |
| simBaS | Compute Simultaneous Band Scores (SimBaS) |
| simulate_nb_friedman | Simulate count data a Friedman's nonlinear regression |
| simulate_nb_lm | Simulate count data from a linear regression |
| splineBasis | Initialize and reparametrize a spline basis matrix |
| star_CI | Compute asymptotic confidence intervals for STAR linear... |
| star_EM | EM Algorithm for STAR |
| star_EM_wls | EM Algorithm for the STAR linear model with weighted least... |
| STAR_gprior | Monte Carlo sampler for STAR linear regression with a g-prior |
| STAR_gprior_gibbs | Gibbs sampler for STAR linear regression with a g-prior |
| STAR_gprior_gibbs_da | Gibbs sampler (data augmentation) for STAR linear regression... |
| star_MCMC | MCMC Algorithm for STAR |
| star_MCMC_ispline | MCMC sampler for STAR with a monotone spline model for the... |
| star_pred_dist | Compute a predictive distribution for the integer-valued... |
| STAR_sparse_means | Stochastic search for the STAR sparse means model |
| STAR_spline | Monte Carlo predictive sampler for spline regression |
| STAR_spline_gibbs | Gibbs sampler (data augmentation) for spline regression |
| truncnorm_mom | Compute the first and second moment of a truncated normal |
| uni.slice | Univariate Slice Sampler from Neal (2008) |
