All functions
|
|
IndepMH()
|
Independence Metropolis-Hastings Algorithm |
|
LogitLink()
|
Logit function |
|
RWMH()
|
Random Walk Metropolis-Hastings Algorithm |
|
asymcnfB()
|
Asymmetric simultaneous bayesian confidence bands |
|
distreg()
|
Bayesian distribution regression |
|
distreg.asymp()
|
Asymptotic distribution regression |
|
distreg.sas()
|
Semi-asymptotic bayesian distribution |
|
distreg_cfa()
|
Counterfactual bayesian distribution regression |
|
distreg_cfa.sas()
|
Semi-asymptotic counterfactual distribution |
|
dr_asympar()
|
Binary glm object at several threshold values |
|
fitdist()
|
The distribution of mean fitted logit probabilities |
|
fitlogit()
|
Fitted logit probabilities |
|
indepMHgen()
|
A Generic Independence Metropolis-Hastings Algorithm |
|
indicat()
|
Indicator function |
|
jdpar.asymp()
|
Joint asymptotic mutivariate density of parameters |
|
jntCBOM()
|
Montiel Olea and Plagborg-Moller (2018) confidence bands |
|
lapl_aprx()
|
Laplace approximation of posterior to normal |
|
lapl_aprx2()
|
Laplace approximation of posterior to normal |
|
logit()
|
Logit likelihood function |
|
parLply()
|
Parallel compute |
|
par_distreg()
|
Parallel compute bayesian distribution regression |
|
posterior()
|
Posterior distribution |
|
prior_n()
|
Normal Prior distribution |
|
prior_u()
|
Uniform Prior distribution |
|
psimval()
|
A Bayesian "p-value" |
|
quant_bdr()
|
Quantile conversion of a bayesian distribution matrix |
|
rwMHgen()
|
A Generic Random Walk Metropolis-Hastings Algorithm |
|
simcnfB()
|
Symmetric simultaneous bayesian confidence bands |