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

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Documentation for package ‘bayesics’ version 2.0.2

• 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
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