BSL-package | Bayesian synthetic likelihood |
BSL | Bayesian synthetic likelihood |
bsl | Performing BSL, BSLasso and semiBSL |
bsl-class | S4 class '"bsl"'. |
bsl-method | 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. |
gaussianSynLike | Estimating the Gaussian synthetic likelihood |
ma2 | An MA(2) model |
ma2_prior | An MA(2) model |
ma2_sim | An MA(2) model |
ma2_sum | An MA(2) model |
marginalPostDefault | Plot method for class "bsl" |
marginalPostGgplot | Plot method for class "bsl" |
mgnk | The multivariate G&K example |
mgnk_sim | The multivariate G&K example |
mgnk_sum | The multivariate G&K example |
penbsl | S3 reference class of the result from tuning to select the optimal penalty for BSLasso |
plot | S4 class '"bsl"'. |
plot-method | S4 class '"bsl"'. |
plot.bsl | Plot method for class "bsl" |
plot.penbsl | S3 reference class of the result from tuning to select the optimal penalty for BSLasso |
print.penbsl | S3 reference class of the result from tuning to select the optimal penalty for BSLasso |
selectPenalty | Selecting BSLasso Penalty |
semiparaKernelEstimate | Estimating the semi-parametric joint likelihood |
show-method | S4 class '"bsl"'. |
show.bsl | Show method for class "bsl". Display the basic information of a bsl object. |
summary | S4 class '"bsl"'. |
summary-method | S4 class '"bsl"'. |
summary.bsl | Summary method for class "bsl" |