| BSL-package | Bayesian synthetic likelihood | 
| BSL | Bayesian synthetic likelihood | 
| bsl | Performing BSL, uBSL, semiBSL and BSLmisspec | 
| BSL-class | S4 class "BSL". | 
| BSLclass | S4 class "BSL". | 
| cell | Cell biology example | 
| cell_prior | Cell biology example | 
| cell_sim | Cell biology example | 
| cell_sum | Cell biology example | 
| combinePlotsBSL | Plot the densities of multiple "bsl" class objects. | 
| cor2cov | Convert a correlation matrix to a covariance matrix | 
| estimateLoglike | Estimate the synthetic likelihood | 
| estimateWhiteningMatrix | Estimate the Whitening matrix to be used in the "wBSL" method of Priddle et al. (2021) | 
| gaussianRankCorr | Gaussian rank correlation | 
| gaussianSynLike | Estimate the Gaussian synthetic (log) likelihood | 
| gaussianSynLikeGhuryeOlkin | Estimate the Gaussian synthetic (log) likelihood with an unbiased estimator | 
| getGamma | Obtain the gamma samples (the latent parameters for BSLmisspec method) from a "BSL" object | 
| getGamma-method | S4 class "BSL". | 
| getLoglike | Obtain the log-likelihoods from a "BSL" object | 
| getLoglike-method | S4 class "BSL". | 
| getPenalty | Obtain the selected penalty values from a "PENALTY" object | 
| getPenalty-method | S4 class "PENALTY" | 
| getTheta | Obtain the samples from a "BSL" object | 
| getTheta-method | S4 class "BSL". | 
| ma2 | An MA(2) model | 
| ma2_prior | An MA(2) model | 
| ma2_sim | An MA(2) model | 
| ma2_sim_vec | An MA(2) model | 
| ma2_sum | An MA(2) model | 
| mgnk | The multivariate G&K example | 
| mgnk_sim | The multivariate G&K example | 
| mgnk_sum | The multivariate G&K example | 
| MODEL | S4 class "MODEL" | 
| MODEL-class | S4 class "MODEL" | 
| newModel | S4 class "MODEL" | 
| obsMat2deltax | Convert an observation matrix to a vector of n-day displacements | 
| PENALTY | S4 class "PENALTY" | 
| PENALTY-class | S4 class "PENALTY" | 
| PENALTYclass | S4 class "PENALTY" | 
| plot-method | S4 class "BSL". | 
| plot-method | S4 class "PENALTY" | 
| selectPenalty | Selecting the Penalty Parameter | 
| semiparaKernelEstimate | Estimate the semi-parametric synthetic (log) likelihood | 
| show-method | S4 class "BSL". | 
| show-method | S4 class "PENALTY" | 
| simulate_cell | Simulation function of the cell biology example | 
| simulation | Run simulations with a give "MODEL" object | 
| simulation-method | S4 class "MODEL" | 
| sim_toad | The simulation function for the toad example | 
| summary-method | S4 class "BSL". | 
| summStat | Compute the summary statistics with the given data | 
| summStat-method | S4 class "MODEL" | 
| synLikeMisspec | Estimate the Gaussian synthetic (log) likelihood whilst acknowledging model incompatibility | 
| toad | Toad example | 
| toad_prior | Toad example | 
| toad_sim | Toad example | 
| toad_sum | Toad example |