Man pages for countSTAR
Flexible Modeling of Count Data
| a_j | Inverse rounding function |
| bam_star | Fit Bayesian Additive STAR Model with MCMC |
| bart_star | MCMC Algorithm for BART-STAR |
| bart_star_ispline | MCMC sampler for BART-STAR with a monotone spline model for... |
| blm_star | STAR Bayesian Linear Regression |
| blm_star_bnpgibbs | Gibbs sampler for STAR linear regression with BNP... |
| blm_star_exact | Monte Carlo sampler for STAR linear regression with a g-prior |
| BrentMethod | Brent's method for optimization |
| computeTimeRemaining | Estimate the remaining time in the MCMC based on previous... |
| confint.lmstar | Compute asymptotic confidence intervals for STAR linear... |
| 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 |
| g_bc | Box-Cox transformation |
| gbm_star | Fitting STAR Gradient Boosting Machines via EM algorithm |
| g_bnp | Bayesian bootstrap-based transformation |
| g_cdf | Cumulative distribution function (CDF)-based transformation |
| genEM_star | Generalized EM estimation for STAR |
| genMCMC_star | Generalized MCMC Algorithm for STAR |
| genMCMC_star_ispline | MCMC sampler for STAR with a monotone spline model for the... |
| getEffSize | Summarize of effective sample size |
| g_inv_approx | Approximate inverse transformation |
| g_inv_bc | Inverse Box-Cox transformation |
| init_bam_orthog | Initialize the parameters for an additive model |
| init_bam_thin | Initialize the parameters for an additive model |
| init_lm_gprior | Initialize linear regression parameters assuming a g-prior |
| init_lm_hs | Initialize linear regression parameters assuming a horseshoe... |
| init_lm_ridge | Initialize linear regression parameters assuming a ridge... |
| 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 |
| lm_star | Fitting frequentist STAR linear model via EM algorithm |
| 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 |
| predict.lmstar | Predict method for response in STAR linear model |
| pvals | Compute coefficient p-values for STAR linear regression using... |
| randomForest_star | Fit Random Forest STAR with EM algorithm |
| roaches | Data on the efficacy of a pest management system at reducing... |
| round_floor | Rounding function |
| rtruncnormRcpp | Sample from a truncated normal distribution |
| sample_bam_orthog | Sample the parameters for an additive model |
| sample_bam_thin | Sample the parameters for an additive model |
| sampleFastGaussian | Sample a Gaussian vector using the fast sampler of... |
| sample_lm_gprior | Sample the linear regression parameters assuming a g-prior |
| sample_lm_hs | Sample linear regression parameters assuming horseshoe prior |
| sample_lm_ridge | Sample linear regression parameters assuming a ridge prior |
| sample_params_mean | Sample the parameters for a simple mean-only model |
| simBaS | Compute Simultaneous Band Scores (SimBaS) |
| simulate_nb_friedman | Simulate count data from Friedman's nonlinear regression |
| simulate_nb_lm | Simulate count data from a linear regression |
| splineBasis | Initialize and reparametrize a spline basis matrix |
| spline_star | Estimation for Bayesian STAR spline regression |
| spline_star_exact | Monte Carlo predictive sampler for spline regression |
| truncnorm_mom | Compute the first and second moment of a truncated normal |
| uni.slice | Univariate Slice Sampler from Neal (2008) |
| update_struct | Update parameters for warpDLM model with trend DLM |
| warpDLM | Posterior Inference for warpDLM model with latent structural... |
