Hordaland_data          Simulated case control dataset for 5000 cases
                        (individuals with chronic cough) and 5000
                        controls
PAF_calc_continuous     Calculation of attributable fractions with a
                        continuous exposure
PAF_calc_discrete       Calculation of attributable fractions using a
                        categorized risk factor
automatic_fit           Automatic fitting of probability models in a
                        pre-specified Bayesian network.
average_paf             Calculation of average and sequential paf
                        taking into account risk factor sequencing
data_clean              Clean a dataset to make model fitting more
                        efficient
do_sim                  Internal: Simulate a column from the post
                        intervention distribution corresponding to
                        eliminating a risk factor
if_bruzzi               Internal: Calculation of an impact fraction
                        using the Bruzzi approach
if_direct               Internal: Calculation of an impact fraction
                        using the direct approach
impact_fraction         General calculations of impact fractions
joint_paf               Calculation of joint attributable fractions
                        over several risk factors taking into account
                        risk factor sequencing
paf_levin               Implementation of Levin's formula for summary
                        data
paf_miettinen           Implementation of Miettinen's formula for
                        summary data
plot.PAF_q              Plot impact fractions corresponding to
                        risk-quantiles over several risk factors
plot.SAF_summary        Produce plots of sequential and average PAF
plot.rf.data.frame      Create a fan_plot of a rf.data.frame object
plot_continuous         Plot hazard ratios, odds ratios or risk ratios
                        comparing differing values of a continuous
                        exposure to a reference level
predict_df_continuous   Internal: Create a data frame for predictions
                        (when risk factor is continuous).
predict_df_discrete     Internal: Create a data frame for predictions
                        (when risk factor is discrete).
print.PAF_q             Print out PAF_q for differing risk factors
print.SAF_summary       Print out a SAF_summary object
ps_paf                  Estimate pathway specific population
                        attributable fractions
pspaf_discrete          Internal, pathway specific PAF when the
                        mediator is discrete
rf_summary              Create a rf.data.frame object
risk_quantiles          Return the vector of risk quantiles for a
                        continuous risk factor.
seq_paf                 Calculation of sequential PAF taking into
                        account risk factor sequencing
sim_outnode             Internal: Simulate from the post intervention
                        distribution corresponding to eliminating a
                        risk factor
stroke_reduced          Simulated case control dataset for 6856 stroke
                        cases and 6856 stroke controls
