Function reference • pifpaf

All functions

as.data.frame(<pif_class>): Transform to data.frame

coef(<pif_class>): Extract point estimate of potential impact fraction or population attributable fraction

confint(<pif_class>): Extract confidence intervals for the potential impact fraction or the population attributable fraction

diagnostic_plot(): Diagnostic bootstrap plots for pif_class

ensanut: ENSANUT 2018

estimator_se_from_ci(): Mean estimator's standard error from asymptotically normal confidence interval

estimator_var_from_ci(): Mean estimator's variance from asymptotically normal confidence interval

get_bootstrap_simulations(): Get bootstrap simulations from pif and paf

get_fraction_type(): Get whether object is population attributable fraction or potential impact fraction

get_pif_simulations(): Get bootstrap simulations exclusively from pif and paf

get_theta_simulations(): Get bootstrap simulations for theta

is_paf(): Check if object is population attributable fraction

is_pif(): Check if object is potential impact fraction

mean(<pif_class>): Extract mean of bootstrap simulations of potential impact fraction or population attributable fraction

n_bootstrap(): Extract number of bootstrap simulations

overall_fraction_type(): Joint PIF/PAF type

paf(): Population Attributable Fraction

paf_combine(): Joint PAF: Combine attributable fractions from independent and uncorrelated risk factors

pif(): Potential Impact Fraction

pif_class(): pif_class class

pif_combine(): Joint PIF: Combine impact fractions from independent and uncorrelated risk factors

plot(<pif_class>): Plot the population attributable fraction or the potential impact fraction

print(<pif_class>): Print an impact or attributable fraction

quantile_bootstrap(): Extract quantiles of the potential impact fraction or population attributable fraction bootstrap simulations

sd_bootstrap(): Extract standard deviations of bootstrap simulations of potential impact fraction or population attributable fraction

summary(<pif_class>): Return potential impact fraction or population attributable fraction summary

tidy(<pif_class>): Transform to tibble

var_bootstrap(): Extract the variance of bootstrap simulations of potential impact fraction or population attributable fraction