Man pages for graphPAF
Estimating and Displaying Population Attributable Fractions

automatic_fitAutomatic fitting models for Bayesian network.
average_pafCalculation of average and sequential paf taking into account...
data_cleanClean a dataset to make modeling fitting more efficient
Hordaland_dataSimulated case control dataset for 5000 cases (individuals...
impact_fractionGeneral calculations of impact fractions
joint_pafCalculation of joint paf taking into account risk factor...
PAF_calc_continuousCalculation of attributable fraction with a continuous risk...
PAF_calc_discreteCalculation of attributable fraction using a categorized risk...
plot_continuousPlot hazard ratios, odds ratios or risk ratios comparing...
plot.PAF_qPlot of impact fractions against over risk-quantile...
plot.rf.data.frameCreate a fan_plot of a rf.data.frame object
plot.SAF_summaryProduce plots of sequential and average PAF
predict_df_continuousCreate a data frame for predictions (when risk factor is...
predict_df_discreteCreate a data frame for predictions (when risk factor is...
print.PAF_qPrint out PAF_q for differing risk factors
print.SAF_summaryPrint out SAF_summary object
ps_pafEstimate Pathway specific population attributable fractions
rf_summaryCreate a summary data frame for risk factors
risk_quantilesReturn the vector of risk quantiles for a continuous risk...
seq_pafCalculation of Sequential paf taking into account risk factor...
stroke_reducedSimulated case control dataset for 6856 stroke cases and 6856...
graphPAF documentation built on Sept. 23, 2022, 1:06 a.m.