Rendering Risk Literacy more Transparent
c(person("Hansjoerg", "Neth", role = c("aut", "cre"),
email = "h.neth@uni.kn"),
person("Felix", "Gaisbauer", role = "aut"),
person("Nico", "Gradwohl", role = "aut"),
person("Wolfgang", "Gaissmaier", role = "aut"))
Hansjoerg Neth [aut, cre],
Felix Gaisbauer [aut],
Nico Gradwohl [aut],
Wolfgang Gaissmaier [aut]
Risk-related information can be expressed in terms of probabilities or frequencies. By providing a toolbox of methods and metrics, we compute, translate, and represent risk-related information in a variety of ways. By offering different, but complementary perspectives on the interplay between key parameters, 'riskyr' renders teaching and training of risk literacy more transparent.
'comp_util.R' 'init_txt.R' 'init_pal.R' 'init_prob.R'
'comp_prob_prob.R' 'init_freq.R' 'comp_freq_prob.R'
'init_num.R' 'init_prob_num.R' 'init_freq_num.R'
'comp_freq_freq.R' 'comp_prob_freq.R' 'comp_xxxx_prob.R'
'comp_popu.R' 'comp_accu.R' 'plot_mosaic.R' 'plot_icons.R'
'plot_tree.R' 'plot_fnet.R' 'plot_curve.R' 'plot_plane.R'
'data.R' 'read_data.R' 'riskyr_class.R' 'start_riskyr.R'

Risk-related information (like the prevalence of conditions and the sensitivity and specificity of diagnostic tests or treatment decisions) can be expressed in terms of probabilities or frequencies. By providing a toolbox of methods and metrics, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Offering multiple complementary perspectives on the interplay between key parameters renders teaching and training of risk literacy more transparent.
devtools, rmarkdown, knitr, roxygen2, pkgdown, spelling
'comp_util.R' 'init_txt.R' 'init_pal.R' 'init_prob.R'
'comp_prob_prob.R' 'init_freq.R' 'comp_min_N.R' 'init_num.R'
'init_prob_num.R' 'init_freq_num.R' 'comp_freq_freq.R'
'comp_prob_freq.R' 'comp_xxxx_prob.R' 'comp_popu.R'
'comp_accu.R' 'plot_util.R' 'plot_area.R' 'plot_tab.R'
'plot_prism.R' 'plot_bar.R' 'plot_icons.R' 'plot_curve.R'
'plot_plane.R' 'plot_fnet.R' 'plot_tree.R' 'plot_mosaic.R'
'data.R' 'read_data.R' 'riskyr_class.R' 'start_riskyr.R'