| as.list.estimate | Construct a list of 'estimate' from 'estimate' |
| barplot_CPT | A ggplot wrapper for visualizing Conditional Probability... |
| cast_mcSimulation | Extract the simulated output from 'mcSimulation' object |
| extract_bn | Extract a Bayesian network based on string model... |
| fit_node_states_distr | Fitting univariate distributions to Bayesain network nodes |
| get_boxplot_range_1d | Create data ranges based boxplots statistics and outliers |
| get_hist_mcsimilation_data | Compute kernel density and histogram data, from... |
| ggbuild_descdist_data | Format 'descdist' data to ggplot2 |
| ggplot_descdist | ggplot Empirical distribution as in 'descdist' |
| ggplot_descdist_bn | ggplot the posterior distribution of a Bayesian network node... |
| gg_plotdist | ggplot empirical and theoretical distributions for... |
| ggplot_mc_dens | Generic 'mcSimulation' density plotting with ggplot |
| ggplot_mc_hist | Generic 'mcSimulation' histogram plotting with ggplot |
| graphviz_plot_net | An Rgraphviz wrapper for visualizing Bayesian Networks... |
| guess_decisionSupport_estimates | guessing decisionSupport's estimates from imperfect... |
| make_bnlearn_evidence | Create evidence for Bayesain network query |
| make_gRain_CPT | Make and format Conditional Probability table (CPT) for use... |
| make_node_states_estimates | Create 'estimate' for Bayesain network node |
| rbind.estimate | Combine 'estimate' objects by rows. |
| sample_cpdist | Sampling from posterior distribution of a Bayesian network at... |
| seduce_CPT | Orchestrate conditional probability table for Bayesain... |
| sub-estimate-method | Extract or replace subsets of 'estimate' |
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