
riskyr 0.5.0 was released on CRAN on 2025-09-15. This version fixes minor issues for CRAN compatibility.
Changes since last release:
Remove experimental code
Package maintenance:
README and online documentationUpdated citation info (using bibentry() for CRAN
compatibility)
Use hexagon version of logo
The current development version of riskyr is available at https://github.com/hneth/riskyr/.
riskyr 0.4.0 was released on CRAN on August 15, 2022.
Changes since last release:
Enable sampling when computing freq from
prob (i.e., by description, given N
and 3 essential probabilities) [2021-03]:
sample argument to comp_freq(),
comp_freq_prob(), and riskyr();sample argument to 6 key plots:plot_area(), plot_bar(),
plot_fnet(), plot_icons(),
plot_prism(), and plot_tab().Allow conversions/translations between data and descriptions:
write_popu() creates population data from a description
(a riskyr scenario);read_popu() creates a description (a
riskyr scenario) from population data.Add a function for plotting cumulative risk curves:
plot_crisk() plots curves and auxiliary information for
visualizing cumulative risks and risk increments;pal_crisk provides a corresponding color palette (as a
named vector).FFTrees_riskyr() to convert FFTrees
objects into corresponding riskyr objects.main and sub arguments to all plots
(and deprecate the previous title_lbl argument).is_matrix() to verify a 2x2 matrix (as a 2x2
numeric contingency table).is_integer() to verify integer values.plot_bar() that caused incorrect bar
labels.README.md and all vignettes to https://riskyr.org/.plot_prism() to reduce
overlaps.txt_TF to avoid confusion, as “True
condition” (i.e., X) was FALSE (now “absent”) for “True
negatives” (TN/cr cases).riskyr 0.3.0 was released on CRAN on March 23, 2021.
Changes since last release:
plot_fnet() for plotting frequency nets
(Binder
et al., 2020) [2020-12].Change default setting of mar_notes in all plotting
functions: Using mar_notes = FALSE as those details are not
needed and can be distracting in visualizations.
Change default arguments for plot_area() and
plot_tab():
Change default settings from f_lbl_hd = "abb" to
f_lbl_hd = "nam" (as this makes more sense for
riskyrApp).
New options for plot_curve():
Plotting probability curves as a function of prevalence does not require
any specific prevalence value. Thus, setting the prev
argument to either NA or to a vector of several
probabilities is now supported. Setting the new prev_range
argument to a range within c(0, 1) allows zooming into more
specific ranges of prev values (on x-axis).
New options for plot_plane():
Plotting a probability plane as a function of sensitivity and
specificity does not require specifying all values. Thus, setting the
sens and spec arguments to either
NA or to a vector of several probabilities is now
supported. Setting the new sens_range and
spec_range arguments to ranges within c(0, 1)
allows zooming into more specific ranges of sens values (on
x-axis) and spec values (on y-axis).
New options for plot_prism():
Use the new p_lwd and p_scale arguments to
allow scaling the widths of probability links by current probability
values.
In data: Remove data files
df_scenarios.RData and df_scenarios.csv, as
they were redundant to df_scenarios.rda (loaded from
\data).
Improve make_cond_lbl() to allow for NA
or vectors of several values (for prev, sens,
and spec).
Add is_prob_range() function to verify a range of
two probability values (to check new arguments of
plot_curve() and plot_plane()).
Using colors of pal for fill colors of symbols in
plot_icon().
Add more color palettes:
pal_bwp (a strict b+w color palette suited for
printing purposes) and corresponding special cases to major plotting
functions.pal_unikn (based on color definitions of the
unikn package).Changes to color palettes:
pal[["bg"]] to all palettes and
plots (to preempt different system defaults).pal_mod – rather than pal_mbw – as
default color scheme pal (to highlight
cond_true and dec_pos cases in default
plots).Add reference to article on theoretical background (Neth et al., 2021).
Bug fix in plot_prism(): Allow plotting simple trees
for nchar(by) == 2.
Bug fix in plot_icons(): Enforced 2 different symbol
types for icon arrays with a binary perspective (by = cd or
dc or ac).
riskyr 0.2.0 was released on CRAN on January 03, 2019.
Changes since last release:
Introduce riskyrApp version:
To use selected riskyr functions without the need for
coding an updated version of riskyrApp is available at https://github.com/hneth/riskyrApp/ (R Shiny code) and
at https://riskyr.org/ (interactive
online version).
Using pkgdown:
Provide package documentation online at https://hneth.github.io/riskyr/ (latest release version)
and https://hneth.github.io/riskyr/dev/ (current development
version).
Retiring obsolete functions:
The plotting functions plot_fnet() and
plot_tree() are replaced by plot_prism(), and
plot_mosaic() is replaced by plot_area(). This
improves functionality (e.g., by providing more consistent options
across different plotting functions) and removes dependencies on
external packages.
New plot_prism() function:
Show a scenario as double frequency tree (by 3 x 2 perspectives) or a
frequency tree (in 3 perspectives) with many additional options;
combines and replaces the older plot_fnet() and
plot_tree() functions (and removes dependency on the
diagram package).
New plot_area() function:
Show a scenario as a mosaic plot of relative proportions (in 3 x 2 x 2
possible versions, with many additional options); replaces the older
plot_mosaic() function (and removes dependencies on the
grid and vcd packages).
New plot_tab() function:
Show a scenario as contingency table of frequencies (with row and column
sums, and options for showing probabilities); a variant of
plot_area() that does not scale area sizes.
New plot_bar() function:
Show scenario frequencies as vertical bars (in various
configurations).
Create plot_util.R collection of graphical utility
functions:
Define a new box object type and various functions for
plotting, labeling, and linking them in graphs (to remove dependencies
on and limitations imposed by other packages).
Update riskyr() function:
As an alternative to providing 3 essential frequencies, it is now
possible to define a scenario from 4 essential frequencies (and check
for consistency with given probabilities).
Improve plot_icons() function:
Show icons separated into 2 subsets by 3 perspectives (condition,
decision, accuracy), using the same by argument as the
other plotting functions.
Improve plot_curve() and plot_plane()
functions:
Update variable names (to snake_case) and add arguments (e.g.,
col_pal, lbl_txt mar_notes, etc.)
for consistency with newer plotting functions.
Add scale argument:
The new plotting functions feature a scale argument that
allows scaling the size or areas of boxes either by (exact) probability
or by (possibly rounded) frequency. When using scale = "f",
the probabilities shown are also re-computed from (possibly rounded)
frequencies.
Improve plot_fnet() function:
Change argument box.cex to cex.lbl to ensure
consistency with plot_curves() and
plot_plane() (and use it to scale arrow labels
accordingly). Add a warning when using deprecated argument.
Improve plot_mosaic() function:
Change Boolean vsplit argument to by = "cd"
vs. by = "dc" to ensure consistency with
plot_fnet() and plot_tree(). Add a warning
when using deprecated argument.
Improve mar_notes and plot_mar
arguments:
Use consistent plot margins and options for showing margin notes for all
plots.
Improve pal and freq arguments:
Use more consistent color and frequency names (e.g.,
cond_true, dec_pos, and dec_cor
are now names of frequencies and the colors corresponding to these
frequencies).
Improve freq object:
Add a 3rd perspective (by accuracy or by correspondence of decision to
condition) and corresponding frequency pair of dec.cor and
dec.err (i.e., hi + cr
vs. mi + fa as the diagonal of 4 SDT cases). This increases
the number of frequencies in freq from 9 to 11. Also added
corresponding labels in init_txt.R and colors in
init_pal.R.
Improve prob object:
Include accuracy metrics in probabilities (in prob and
summary functions).
Improve pal and txt objects:
Add multiple color palettes and text labeling schemes (see
?pal and ?txt for details).
Improve read_popu() function:
Read a data frame popu and interpret is as a
riskyr scenario, allows creating scenarios from raw
data.
Add comp_accu.R file:
Compute exact accuracy values (not approximations, when using
comp_accu_freq on rounded freq values) by
using the new function comp_accu_prob() to compute the list
accu from probabilities. Signal rounding when showing
accuracy based on rounded frequencies in plots (when
show.accu == TRUE and round == TRUE).
More consistent argument and variable names (using snake_case).
Many additions and corrections in documentation, examples, and vignettes.
plot_icons(): Bug fix to also swap symbols in legend
when the symbol order is changed manually.
txt_def: Simplify some default text labels (e.g.,
for current population, condition, and decision).
.onAttach: Cast dice to display probabilistic (i.e.,
risk-related) start-up messages.
riskyr 0.1.0 was released on CRAN on February 19, 2018.
To cite riskyr in derivations and publications please use:
The following article provides details on the conceptual and theoretical background:
[NEWS.md updated on 2025-09-15.]