Bayesian Logistic Regression with Lower and Upper Asymptotes

Documentation for package ‘boundedHill’ version 0.1.0

bh_beta_moments	Beta shapes from a prior mean and standard deviation
bh_control	Control Gibbs sampling
bh_diagnose	Diagnose computation and data-range information
bh_fit	Fit Bayesian bounded logistic regression
bh_log_lik	Pointwise log-likelihood draws
bh_posterior_draws	Extract posterior draws
bh_posterior_predict	Draw from the posterior predictive distribution
bh_prior	Specify priors for bounded logistic regression
bounded_probability	Bounded logistic probabilities
bounded_reg-methods	Methods for bounded logistic regression fits
coef.bounded_reg	Methods for bounded logistic regression fits
fitted.bounded_reg	Methods for bounded logistic regression fits
plot.bounded_reg	Plot a bounded logistic regression fit
predict.bounded_reg	Methods for bounded logistic regression fits
print.bh_control	Control Gibbs sampling
print.bh_diagnostic	Diagnose computation and data-range information
print.bh_prior	Specify priors for bounded logistic regression
print.bounded_reg	Methods for bounded logistic regression fits
print.summary.bounded_reg	Methods for bounded logistic regression fits
rbounded_binom	Generate bounded binomial outcomes
simulate.bounded_reg	Methods for bounded logistic regression fits
summary.bounded_reg	Methods for bounded logistic regression fits