.ICAR_calc              Calculate covariance matrix in the MVN-ICAR
.J_RJMCMC               RJMCMC (with Bayesian Borrowing)
.J_RJMCMC_NoBorrow      RJMCMC (without Bayesian Borrowing)
.beta.MH.RW.glm         Beta MH RW sampler from freq PEM fit
.beta_MH_MALA           Proposal beta with a Metropolis Adjusted
                        Langevin (MALA)
.beta_MH_NR             Newton Raphson MH move
.beta_MH_RW             Beta Metropolis-Hastings Random walk move
.beta_mom               Mean for MALA using derivative for beta
                        proposal
.beta_mom.NR.fun        First and second derivative of target for mode
                        and variance of proposal
.birth_move             Birth move in RJMCMC
.dataframe_fun          Create data.frame for piecewise exponential
                        models
.death_move             Death move in RJMCMC
.glmFit                 Fit frequentist piecewise exponential model for
                        MLE and information matrix of beta
.input_check            Input checker
.lambda_0_MH_cp         Lambda_0 MH step, proposal from conditional
                        conjugate posterior
.lambda_0_MH_cp_NoBorrow
                        Lambda_0 MH step, proposal from conditional
                        conjugate posterior
.lambda_MH_cp           Lambda MH step, proposal from conditional
                        conjugate posterior
.lambda_conj_prop       Propose lambda from a gamma conditional
                        conjugate posterior proposal
.lgamma_ratio           Calculate log gamma ratio for two different
                        parameter values
.llikelihood_ratio_beta
                        Loglikelihood ratio calculation for beta
                        parameters
.llikelihood_ratio_lambda
                        Log likelihood for lambda / lambda_0 update
.log_likelihood         Log likelihood function
.logsumexp              Computes the logarithmic sum of an exponential
.lprop.dens.beta.NR     log Gaussian proposal density for Newton
                        Raphson proposal
.lprop_density_beta     Log density of proposal for MALA
.ltau_dprior            Calculate log density tau prior
.mu_update              Calculate mu posterior update
.normalize_prob         Normalize a set of probability to one, using
                        the the log-sum-exp trick
.nu_sigma_update        Calculates nu and sigma2 for the Gaussian
                        Markov random field prior, for a given split
                        point j
.shuffle_split_point_location
                        Metropolis Hastings step: shuffle the split
                        point locations (with Bayesian borrowing)
.shuffle_split_point_location_NoBorrow
                        Metropolis Hastings step: shuffle the split
                        point locations (without Bayesian borrowing)
.sigma2_update          Calculate sigma2 posterior update
.tau_update             Sample tau from posterior distribution
BayesFBHborrow          BayesFBHborrow: Run MCMC for a piecewise
                        exponential model
BayesFBHborrow.NoBorrow
                        Run the MCMC sampler without Bayesian Borrowing
BayesFBHborrow.WBorrow
                        Run the MCMC sampler with Bayesian Borrowing
GibbsMH                 S3 generic, calls the correct GibbsMH sampler
GibbsMH.NoBorrow        GibbsMH sampler, without Bayesian Borrowing
GibbsMH.WBorrow         GibbsMH sampler, with Bayesian Borrowing
coef.BayesFBHborrow     Extract mean posterior values
group_summary           Create group level data
init_lambda_hyperparameters
                        Initialize lambda hyperparameters
piecewise_exp_cc        Example data, simulated from a piecewise
                        exponential model.
piecewise_exp_hist      Example data, simulated from a piecewise
                        exponential model.
plot.BayesFBHborrow     Plot the MCMC results
plot_hist               Plot histogram from MCMC samples
plot_matrix             Plot smoothed baseline hazards
plot_trace              Plot MCMC trace
summary.BayesFBHborrow
                        Summarize fixed MCMC results
weibull_cc              Example data, simulated from a Weibull
                        distribution.
weibull_hist            Example data, simulated from a Weibull
                        distribution
