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riskyr  

Rendering Risk Literacy more Transparent
View on CRAN: Click here


Download and install riskyr package within the R console
Install from CRAN:
install.packages("riskyr")

Install from Github:
library("remotes")
install_github("cran/riskyr")

Install by package version:
library("remotes")
install_version("riskyr", "0.4.0")



Attach the package and use:
library("riskyr")
Maintained by
Hansjoerg Neth
[Scholar Profile | Author Map]
First Published: 2018-02-19
Latest Update: 2022-08-15
Description:
Risk-related information (like the prevalence of conditions, the sensitivity and specificity of diagnostic tests, or the effectiveness of interventions or treatments) can be expressed in terms of frequencies or probabilities. By providing a toolbox of corresponding metrics and representations, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Adopting multiple complementary perspectives provides insights into the interplay between key parameters and renders teaching and training programs on risk literacy more transparent.
How to cite:
Hansjoerg Neth (2018). riskyr: Rendering Risk Literacy more Transparent. R package version 0.4.0, https://cran.r-project.org/web/packages/riskyr. Accessed 17 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-02-19 10:22), 0.2.0 (2019-01-03 02:00), 0.3.0 (2021-03-23 20:10)
Other packages that cited riskyr R package
View riskyr citation profile
Other R packages that riskyr depends, imports, suggests or enhances
Complete documentation for riskyr
Functions, R codes and Examples using the riskyr R package
Some associated functions: BRCA1 . BRCA1_mam . BRCA1_ova . BRCA2 . BRCA2_mam . BRCA2_ova . FDR . FFTrees_riskyr . FOR . N . NPV . PPV . acc . accu . as_pb . as_pc . comp_FDR . comp_FOR . comp_NPV . comp_PPV . comp_acc . comp_accu_freq . comp_accu_prob . comp_comp_pair . comp_complement . comp_complete_prob_set . comp_err . comp_fart . comp_freq . comp_freq_freq . comp_freq_prob . comp_min_N . comp_mirt . comp_popu . comp_ppod . comp_prev . comp_prob . comp_prob_freq . comp_prob_prob . comp_sens . comp_spec . cond_false . cond_true . cr . dec_cor . dec_err . dec_neg . dec_pos . df_scenarios . err . fa . fart . freq . hi . init_num . init_pal . init_txt . is_complement . is_extreme_prob_set . is_freq . is_integer . is_matrix . is_perc . is_prob . is_suff_prob_set . is_valid_prob_pair . is_valid_prob_set . is_valid_prob_triple . mi . mirt . num . pal . pal_bw . pal_bwp . pal_crisk . pal_kn . pal_mbw . pal_mod . pal_org . pal_rgb . pal_unikn . pal_vir . plot.box . plot.riskyr . plot_area . plot_bar . plot_crisk . plot_curve . plot_fnet . plot_icons . plot_mosaic . plot_plane . plot_prism . plot_tab . plot_tree . popu . ppod . prev . print.summary.riskyr . prob . read_popu . riskyr.guide . riskyr . scenarios . sens . spec . summary.riskyr . t_A . t_B . t_I . txt . txt_TF . txt_org . write_popu . 
Some associated R codes: FFTrees_riskyr.R . comp_accu.R . comp_freq_freq.R . comp_min_N.R . comp_popu.R . comp_prob_freq.R . comp_prob_prob.R . comp_util.R . comp_xxxx_prob.R . data.R . init_freq.R . init_freq_num.R . init_num.R . init_pal.R . init_prob.R . init_prob_num.R . init_txt.R . plot_area.R . plot_bar.R . plot_crisk.R . plot_curve.R . plot_fnet.R . plot_icons.R . plot_mosaic.R . plot_plane.R . plot_prism.R . plot_tab.R . plot_tree.R . plot_util.R . read_data.R . riskyr_class.R . riskyr_sims.R . start_riskyr.R .  Full riskyr package functions and examples
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