Bayesian Analyses for One- and Two-Sample Inference and Regression Methods

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Documentation for package ‘bayesics’ version 3.1.0

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aov_b Analysis of Variance Using Bayesian Methods
bayes_factors Bayes Factors
bayes_factors.glm_b Bayes Factors
bayes_factors.lm_b Bayes Factors
bayes_factors.survfit_b Bayes Factors
bayes_pvalue Bayesian P-values for Regression Models
bayes_pvalue.aov_b Bayesian P-values for Regression Models
bayes_pvalue.lm_b Bayesian P-values for Regression Models
bma_inference Bayesian Model Averaging
b_procedure-class 'b_procedure' Objects
case_control_b Case-Control Analysis
chisq_test_b Test of Independence for 2-way Contingency Tables
coef Coefficient Extraction for 'bayesics' Objects
coef.aov_b Coefficient Extraction for 'bayesics' Objects
coef.lm_b Coefficient Extraction for 'bayesics' Objects
cor_test_b Test for Association/Correlation Between Paired Samples
cor_test_b.default Test for Association/Correlation Between Paired Samples
cor_test_b.formula Test for Association/Correlation Between Paired Samples
credint Credible Intervals for Model Parameters
credint.aov_b Credible Intervals for Model Parameters
credint.lm_b Credible Intervals for Model Parameters
DIC Compute DIC or WAIC
DIC.aov_b Compute DIC or WAIC
DIC.lm_b Compute DIC or WAIC
find_beta_parms Find Parameters for Beta Prior
find_invgamma_parms Find Parameters for Inverse Gamma Prior
frac_bayes_factors Fractional Bayes Factors
get_posterior_draws Get Posterior Samples
get_posterior_draws.aov_b Get Posterior Samples
get_posterior_draws.lm_b Get Posterior Samples
glm_b Bayesian Generalized Linear Models
heteroscedasticity_test Test for Heteroscedasticity in AOV Models
IC Compute DIC or WAIC
independence_b Test of Independence for 2-way Contingency Tables
lm_b Bayesian Linear Models
lm_b-class 'lm_b' Objects
logLik.lm_b Extract Log-Likelihood
mediate_b Mediation using Bayesian Methods
negbinom Negative-Binomial Family
np_glm_b Non-parametric Linear Models
plot Plots 'bayesics' Objects.
plot.b_procedure Plots 'bayesics' Objects.
plot.lm_b Plots 'bayesics' Objects.
plot.mediate_b Plots 'bayesics' Objects.
plot.survfit_b Plots 'bayesics' Objects.
plot_bands Plot Credible and Prediction Bands
plot_bands.aov_b Plot Credible and Prediction Bands
plot_bands.lm_b Plot Credible and Prediction Bands
plot_dx Diagnostic Plots for Bayesian Regression Objects
plot_dx.aov_b Diagnostic Plots for Bayesian Regression Objects
plot_dx.lm_b Diagnostic Plots for Bayesian Regression Objects
plot_dx.mediate_b Diagnostic Plots for Bayesian Regression Objects
poisson_test_b Poisson Procedures
predict.aov_b Predict Method for 'bayesics' Model Fits
predict.lm_b Predict Method for 'bayesics' Model Fits
print Print 'bayesics' Objects.
print.aov_b Print 'bayesics' Objects.
print.b_procedure Print 'bayesics' Objects.
print.lm_b Print 'bayesics' Objects.
print.mediate_b Print 'bayesics' Objects.
print.survfit_b Print 'bayesics' Objects.
prop_test_b Binomial Procedures
sign_test_b Paired Sign Test
summary Summarizing 'bayesics' Fits
summary.aov_b Summarizing 'bayesics' Fits
summary.b_procedure Summarizing 'bayesics' Fits
summary.lm_b Summarizing 'bayesics' Fits
summary.mediate_b Summarizing 'bayesics' Fits
summary.survfit_b Summarizing 'bayesics' Fits
Surv Create a Survival Object
survfit_b Create Survival Curves
t_test_b t-test
var_test_b Test for Heteroscedasticity in AOV Models
vcov Calculate Posterior Variance-Covariance Matrix for a Bayesian Fitted Model Object
vcov.lm_b Calculate Posterior Variance-Covariance Matrix for a Bayesian Fitted Model Object
WAIC Compute DIC or WAIC
WAIC.aov_b Compute DIC or WAIC
WAIC.lm_b Compute DIC or WAIC
wilcoxon_test_b Bayesian Wilcoxon Rank Sum (aka Mann-Whitney U) and Signed Rank Analyses