Man pages for jtipton25/pgR
Bayesian Polya-Gamma Regression
| calc_kappa | Calculate the intermediate Polya-gamma value kappa |
| calc_ll_pg_lm | Log-likelihood for pg_lm() model for use in model selection |
| calc_ll_pg_splm | Log-likelihood for pg_splm() model for use in model selection |
| calc_ll_pg_stlm | Log-likelihood for pg_stlm() model for use in model selection |
| calc_ll_pg_stlm_loo | Leave-one-out log-likelihood for pg_stlm() model for use in... |
| calc_Mi | Calculate the intermediate Polya-gamma value Mi |
| check_corr_fun | Check if the correlation function type is valid |
| check_inits_pg_lm | Check initial values |
| check_inits_pgLM | Check initial values |
| check_inits_pg_splm | Check initial values |
| check_inits_pgSPLM | Check initial values |
| check_inits_pg_stlm | Check initial values |
| check_inits_pgSTLM | Check initial values |
| check_input_pg_lm | Check inputs |
| check_input_pg_splm | Check inputs |
| check_input_pg_stlm | Check inputs for 'pg_stlm()' |
| check_input_pgSTLM | Check inputs for pgSTLM |
| check_params | Check parameters |
| check_priors_pg_lm | Check priors |
| check_priors_pg_splm | Check priors |
| check_priors_pg_stlm | Check priors |
| correlation_function | Generate Matern covariance matrix |
| counts_to_proportions | Convert compsitional count data to proportions |
| default_inits_pg_lm | Initialized default initial conditions |
| default_inits_pgLM | Initialized default initial conditions |
| default_inits_pg_splm | Initialized default initial conditions |
| default_inits_pgSPLM | Initialized default initial conditions |
| default_inits_pg_stlm | Initialized default initial conditions |
| default_params | Initialized default values of parameters |
| default_priors_pg_lm | Initialized default values of priors for 'pg_lm()' |
| default_priors_pgLM | Initialized default values of priors |
| default_priors_pg_splm | Initialized default values of priors for 'pg_splm()' |
| default_priors_pgSPLM | Initialized default values of priors |
| default_priors_pg_splm_mra | Initialized default values of priors for 'pg_splm_mra()' |
| default_priors_pg_stlm | Initialized default values of priors for 'pg_stlm()' |
| default_priors_pgSTLM | Initialized default values of priors |
| default_priors_pg_stlm_mra | Initialized default values of priors for 'pg_stlm_mra()' |
| dmvnrm_arma_mc | A function for evaluating a multivariate normal density in... |
| eta_to_pi | Convert from eta to pi |
| expit | The inverse of the logit function |
| is_dist_matrix | Check if a distance matrix of dimension n x n (symmetic and... |
| is_integer | Check if value is an integer or integer-like |
| is_integer_matrix | Check if an integer matrix of dimension n x m |
| is_numeric | Check if a numeric value |
| is_numeric_matrix | Check if a numeric matrix of dimension n x m |
| is_numeric_vector | Check if a numeric vector of length n |
| is_positive_integer | Check if value is a positive integer or integer-like |
| is_positive_numeric | Check if a positive numeric value |
| is_positive_numeric_matrix | Check if a positive numeric matrix of dimension n x m |
| is_sympd_matrix | Check if a symmetric positive definite numeric matrix of... |
| logit | The inverse of the logit function |
| logsumexp | log sum of exponentials |
| make_alpha | Contruct the Dirichlet-multinomial parameter matrix 'alpha' |
| make_gelman_rubin | Calculate the Gelman-Rubin statistic for custom MCMC output |
| pgdraw | Generate random samples from the Polya-Gamma distribution,... |
| pgdraw.moments | Compute exact first and second moments for the Polya-Gamma... |
| pg_lm | Bayesian Polya-gamma regression |
| pgLM | Bayesian Polya-gamma regression |
| pg_mvgp_univariate | Bayesian Polya-gamma regression |
| pg_mvgp_univariate_mra | Bayesian Polya-gamma regression |
| pgR | pgR |
| pg_splm | Bayesian Polya-gamma regression |
| pgSPLM | Bayesian Polya-gamma regression |
| pg_splm_mra | Bayesian Polya-gamma regression |
| pg_stlm | Bayesian Polya-gamma regression |
| pgSTLM | Bayesian Polya-gamma regression |
| pg_stlm_latent_overdispersed | Bayesian Polya-gamma regression |
| pg_stlm_mra | Bayesian Polya-gamma regression |
| pg_stlm_overdispersed | Bayesian Polya-gamma regression |
| plot_correlation_function | Plot the correlation function |
| plot_covariance_function | Plot the covariance function |
| predict_pg_lm | Bayesian Polya-gamma regression prediction |
| predict_pgLM | Bayesian Polya-gamma regression prediction |
| predict_pg_mvgp_univariate | Bayesian Polya-gamma regression prediction |
| predict_pg_mvgp_univariate_mra | Bayesian Polya-gamma regression prediction |
| predict_pg_splm | Bayesian Polya-gamma regression prediction |
| predict_pgSPLM | Bayesian Polya-gamma regression prediction |
| predict_pg_splm_mra | Bayesian Polya-gamma regression prediction |
| predict_pg_stlm | Bayesian Polya-gamma regression prediction |
| predict_pgSTLM | Bayesian Polya-gamma regression prediction |
| predict_pg_stlm_latent_overdispersed | Bayesian Polya-gamma regression prediction |
| predict_pg_stlm_mra | Bayesian Polya-gamma regression prediction |
| predict_pg_stlm_overdispersed | Bayesian Polya-gamma regression prediction |
| rcpp_pgdraw | A function for evaluating drawing random Polya-gamma random... |
| rcpp_pgdraw_approx | A function for drawing approximate random Polya-gamma random... |
| rmvn_arma | A function for sampling from conditional multivariate normal... |
| rmvn_arma_scalar | A function for sampling from conditional multivariate normal... |
| softmax | Softmax transformation |
| update_tuning | this function updates the univariate Gaussian random walk... |
| update_tuning_mat | this function updates a matrix block of univariate Gaussian... |
| update_tuning_mv | this function updates a block Gaussian random walk proposal... |
| update_tuning_mv_mat | this function updates multiple block Gaussian random walk... |
| update_tuning_vec | this function updates a vector block of univariate Gaussian... |
