gibbsStepLi             Gibbs Step Li - One MCMC step for the Li Model
liInference             Perform hyperparameter inference assuming the
                        model given in Li et al. (2022) on a cycle
                        length dataset.
liMCMC                  Runs MCMC algorithm for performing inference
                        using the model from Li et al. (2022)
liSim                   Simulate user tracked menstrual cycle data for
                        an individual using the li model.
likVec                  Monte Carlo estimate of negative marginal
                        log-likelihood of Li model
mixSim                  Simulate user tracked menstrual cycle data for
                        an individual using the mixture model.
plot.skipTrack.model    Plot skipTrack.model objects
postB                   Sample a value from the full conditional
                        posterior of b_i
postBeta                Draw from Posterior Distribution for Beta
                        Parameters
postCij                 Sample a vector of values from the full
                        conditional posterior of the c_ij vector
postGamma               Perform a Metropolis-Hastings Step for Drawing
                        a New Gamma
postLambdai             Compute random draw from full conditional
                        posterior for lambda_i in Li algorithm.
postPhi                 Metropolis-Hastings step to draw a new value
                        for phi.
postPi                  Sample a value from the full conditional
                        posterior of pi
postPii                 Compute M-H draw for pi_i in Li algorithm
postRho                 Sample a value from the full conditional
                        posterior of rho
postSij                 Compute random draw from full conditional
                        posterior for s_ij in Li algorithm.
postTaui                Sample a value from the full conditional
                        posterior of tau_i
print.skipTrack.model   Print skipTrack.model to console
sampleStep              Perform a single step of the MCMC sampling
                        process for skipTrack
skipTrack.MCMC          Perform one chain of MCMC sampling for the
                        skipTrack model.
skipTrack.diagnostics   skipTrack MCMC Diagnostics
skipTrack.fit           Fits the skipTrack Model using 1 or more MCMC
                        chains
skipTrack.results       Get tables of Inference results from
                        skipTrack.fit
skipTrack.simulate      Simulate user-tracked menstrual cycle data for
                        multiple individuals
skipTrack.visualize     Visualize Results from skipTrack.fit
stSim                   Simulate user tracked menstrual cycle data for
                        an individual, based on the skipTrack model.
str.skipTrack.model     Report skipTrack.model structure to console
summary.skipTrack.model
                        Report skipTrack.model results to console
