| gibbsStepLi | Gibbs Step Li - One MCMC step for the Li Model |
| liInference | Perform hyperparameter inference assuming the model given in... |
| likVec | Monte Carlo estimate of negative marginal log-likelihood of... |
| liMCMC | Runs MCMC algorithm for performing inference using the model... |
| liSim | Simulate user tracked menstrual cycle data for an individual... |
| mixSim | Simulate user tracked menstrual cycle data for an individual... |
| plot.skipTrack.model | Plot skipTrack.model objects |
| postBeta | Draw from Posterior Distribution for Beta Parameters |
| postCij | Sample a vector of values from the full conditional posterior... |
| postGamma | Perform a Metropolis-Hastings Step for Drawing a New Gamma |
| postLambdai | Compute random draw from full conditional posterior for... |
| postMui | Sample a value from the full conditional posterior of mu_i |
| 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... |
| 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.diagnostics | skipTrack MCMC Diagnostics |
| skipTrack.fit | Fits the skipTrack Model using 1 or more MCMC chains |
| skipTrack.MCMC | Perform one chain of MCMC sampling for the skipTrack model. |
| skipTrack-package | skipTrack: A Bayesian Hierarchical Model that Controls for... |
| skipTrack.results | Get tables of Inference results from skipTrack.fit |
| skipTrack.simulate | Simulate user-tracked menstrual cycle data for multiple... |
| skipTrack.visualize | Visualize Results from skipTrack.fit |
| str.skipTrack.model | Report skipTrack.model structure to console |
| stSim | Simulate user tracked menstrual cycle data for an individual,... |
| summary.skipTrack.model | Report skipTrack.model results to console |
