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

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

## Documentation for package ‘bayesics’ version 2.1.1

- DESCRIPTION file
- Package NEWS

## Help Pages

AIC | Compute AIC, BIC, DIC, or WAIC for aov_b or lm_b objects. (Lower is better.)
AIC.aov_b | Compute AIC, BIC, DIC, or WAIC for aov_b or lm_b objects. (Lower is better.)
AIC.glm_b | 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
bayes_factors.glm_b | Bayes factors for lm_b, glm_b, and survfit_b
bayes_factors.lm_b | Bayes factors for lm_b, glm_b, and survfit_b
bayes_factors.survfit_b | Bayes factors for lm_b, glm_b, and survfit_b
BIC | Compute AIC, BIC, DIC, or WAIC for aov_b or lm_b objects. (Lower is better.)
BIC.aov_b | Compute AIC, BIC, DIC, or WAIC for aov_b or lm_b objects. (Lower is better.)
BIC.glm_b | 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 | Bayesian test of Equal or Given Proportions
bma_inference | Bayesian model averaging
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.glm_b | Coefficient extraction for bayesics objects
coef.lm_b | Coefficient extraction for bayesics objects
coef.lm_b_bma | Coefficient extraction for bayesics objects
coef.np_glm_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.glm_b | Credible Intervals for Model Parameters
credint.lm_b | Credible Intervals for Model Parameters
credint.lm_b_bma | Credible Intervals for Model Parameters
credint.np_glm_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.glm_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
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
mediate_b | Mediation using Bayesian methods
negbinom | Negative-binomial family
np_glm_b | Non-parametric linear models
plot | Plots bayesics objects.
plot.aov_b | Plots bayesics objects.
plot.glm_b | Plots bayesics objects.
plot.lm_b | Plots bayesics objects.
plot.lm_b_bma | Plots bayesics objects.
plot.mediate_b | Plots bayesics objects.
plot.np_glm_b | Plots bayesics objects.
plot.survfit_b | Plots bayesics objects.
poisson_test_b | Poisson tests
predict.aov_b | Predict method for aov_b model fits
predict.glm_b | Predict method for glm_b model fits
predict.lm_b | Predict method for lm_b model fits
predict.lm_b_bma | Predict method for bma model fits
predict.np_glm_b | Predict method for lm_b model fits
print | Print bayesics objects.
print.aov_b | Print bayesics objects.
print.glm_b | Print bayesics objects.
print.lm_b | Print bayesics objects.
print.lm_b_bma | Print bayesics objects.
print.mediate_b | Print bayesics objects.
print.np_glm_b | Print bayesics objects.
print.survfit_b | Print bayesics objects.
prop_test_b | Bayesian test of Equal or Given Proportions
sign_test_b | Paired sign test
summary | Summary functions for bayesics objects
summary.aov_b | Summary functions for bayesics objects
summary.glm_b | Summary functions for bayesics objects
summary.lm_b | Summary functions for bayesics objects
summary.lm_b_bma | Summary functions for bayesics objects
summary.mediate_b | Summary functions for bayesics objects
summary.np_glm_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.aov_b | Calculate Posterior Variance-Covariance Matrix for a Bayesian Fitted Model Object
vcov.glm_b | 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
vcov.np_glm_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.glm_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