Logistic-class          S4 class for a logistic regression model that
                        inherits from Model
Mlr-class               S4 class for a regression model that inherits
                        from Model.
Model-class             An S4 super class to represent a
                        regression-like model
Sldax-class             S4 class to represent a SLDAX general model
                        that inherits from Mlr and Logistic.
a0                      Create generic 'a0' function for class
a0<-                    Create generic a0<- function for class
alpha                   Create generic 'alpha' function for class
alpha<-                 Create generic alpha<- function for class
b0                      Create generic 'b0' function for class
b0<-                    Create generic b0<- function for class
beta_                   Create generic 'beta_' function for class
beta_<-                 Create generic beta_<- function for class
eta                     Create generic 'eta' function for class
eta<-                   Create generic eta<- function for class
eta_start               Create generic 'eta_start' function for class
eta_start<-             Create generic eta_start<- function for class
extra                   Create generic 'extra' function for class
extra<-                 Create generic extra<- function for class
gamma_                  Create generic 'gamma_' function for class
gamma_<-                Create generic gamma_<- function for class
gibbs_logistic          Fit logistic regression model
gibbs_mlr               Fit linear regression model
gibbs_sldax             Fit supervised or unsupervised topic models
                        (SLDAX or LDA)
loglike                 Create generic 'loglike' function for class
loglike<-               Create generic loglike<- function for class
logpost                 Create generic 'logpost' function for class
logpost<-               Create generic logpost<- function for class
lpd                     Create generic 'lpd' function for class
lpd<-                   Create generic lpd<- function for class
mu0                     Create generic 'mu0' function for class
mu0<-                   Create generic mu0<- function for class
nchain                  Create generic 'nchain' function for class
nchain<-                Create generic nchain<- function for class
ndocs                   Create generic 'ndocs' function for class
ndocs<-                 Create generic ndocs<- function for class
ntopics                 Create generic 'ntopics' function for class
ntopics<-               Create generic ntopics<- function for class
nvocab                  Create generic 'nvocab' function for class
nvocab<-                Create generic nvocab<- function for class
p_eff                   Create generic 'p_eff' function for class
p_eff<-                 Create generic p_eff<- function for class
prep_docs               Prepare documents in a data frame for modeling
proposal_sd             Create generic 'proposal_sd' function for class
proposal_sd<-           Create generic proposal_sd<- function for class
psychtm                 psychtm: A package for text mining methods for
                        psychological research
se_waic                 Create generic 'se_waic' function for class
se_waic<-               Create generic se_waic<- function for class
sigma0                  Create generic 'sigma0' function for class
sigma0<-                Create generic sigma0<- function for class
sigma2                  Create generic 'sigma2' function for class
sigma2<-                Create generic sigma2<- function for class
sldax-summary           Summary functions for objects of class Sldax
teacher_rate            Synthetic (fake) student ratings of instructor
                        quality.
term_score              Compute term-scores for each word-topic pair
theta                   Create generic 'theta' function for class
theta<-                 Create generic theta<- function for class
topics                  Create generic 'topics' function for class
topics<-                Create generic topics<- function for class
waic                    Create generic 'waic' function for class
waic<-                  Create generic waic<- function for class
waic_all                Compute WAIC for all outcomes.
waic_d                  WAIC for observation y_d
waic_diff               Compute difference (WAIC1 - WAIC2) in WAIC and
                        its SE for two models.
