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

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Documentation for package ‘bayesics’ version 3.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

AIC	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
AIC.lm_b	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
aov_b	Analysis of Variance Using Bayesian Methods
bayes_factors	Bayes Factors for 'lm_b', 'glm_b', and 'survfit_b' Objects
bayes_factors.glm_b	Bayes Factors for 'lm_b', 'glm_b', and 'survfit_b' Objects
bayes_factors.lm_b	Bayes Factors for 'lm_b', 'glm_b', and 'survfit_b' Objects
bayes_factors.survfit_b	Bayes Factors for 'lm_b', 'glm_b', and 'survfit_b' Objects
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
BIC	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
BIC.lm_b	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
binom_test_b	Binomial Procedures
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 via Kendall's tau
cor_test_b.default	Test for Association/Correlation Between Paired Samples via Kendall's tau
cor_test_b.formula	Test for Association/Correlation Between Paired Samples via Kendall's tau
credint	Credible Intervals for Model Parameters
credint.aov_b	Credible Intervals for Model Parameters
credint.lm_b	Credible Intervals for Model Parameters
DIC	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
DIC.aov_b	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
DIC.lm_b	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
find_beta_parms	Find Parameters for Beta Prior Based on Prior Mean and One Quantile
find_invgamma_parms	Find Parameters for Inverse Gamma Prior Based on Prior Mean and One Quantile
frac_bayes_factors	Fractional Bayes Factors
get_posterior_draws	Get Posterior Samples from 'lm_b' Object
get_posterior_draws.aov_b	Get Posterior Samples from 'lm_b' Object
get_posterior_draws.lm_b	Get Posterior Samples from 'lm_b' Object
glm_b	Bayesian Generalized Linear Models
heteroscedasticity_test	Test for Heteroscedasticity in AOV Models
IC	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
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 'lm_b' Model Fits
predict.lm_b	Predict Method for 'lm_b' 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	Summary functions for bayesics objects
summary.aov_b	Summary functions for bayesics objects
summary.lm_b	Summary functions for bayesics objects
summary.mediate_b	Summary functions for bayesics objects
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 AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
WAIC.aov_b	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
WAIC.lm_b	Compute AIC, BIC, DIC, or WAIC for 'aov_b' or 'lm_b' Objects. (Lower is Better.)
wilcoxon_test_b	Bayesian Wilcoxon Rank Sum (aka Mann-Whitney U) and Signed Rank Analyses