| betaFromW | Computes total causal effects |
| causalCI | Confidence interval for direct causal effects |
| causalEffects | Direct and total causal effects trajectories |
| dataCreate | Creating data |
| dataFormat | Put data into a format usable by the main functions |
| dataOrder | Ordering data |
| detriangularisation | Ordering matrix columns and rows |
| GBNcausal-package | Estimation of gaussian bayesian networks |
| GBNetwork-class | Class '"GBNetwork"' |
| GBNlikelihood | Loglikelihhood |
| GBNmle | Maximum likelihood estimator |
| GBNOrder | Ordering GBN object |
| histCausalPaths | Plot histogrames of causal effects. |
| Lfct | Total causal effects |
| MCMC.GBN | MCMC algorithm to estimate causal effetcts of a GBN object |
| MCMC.step | Main step of the MCMC.GBN algorithm |
| multiplot | Ploting multiple graphs on the same page |
| newMallowsProposal | Maximum likelihood estimation of GBN with new node order. |
| plotCausalPaths | Plot causal effects trajectory |
| plotingPostOrder | Ploting post order |
| plotResPaths | Plot mean and variance trajectory |
| posteriorOrder | Posterior orders of MCMC.GBN results |
| rmallows | Mallows proposal distribution function |
| rmallowsBlocks | Mallows proposal distribution function with order constraint |
| Sfct | Covariance matrix |
| simulGBN | Simulate data from Gaussian Bayesian Networks |
| swap | Switching rows and columns |
| uniformBlocks | Uniform proposal law |
| validGBNetworkObject | Validation of a GB network |
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