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

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Documentation for package ‘bayesics’ version 2.1.0

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