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nonlinear_bins()
, rmm()
, and
rm_bin_summary()
.
group_vars = NULL
applies the functions to the
entire dataset without subgrouping.rmm()
outputs longer, setting
pivot = TRUE
will work when group_vars
is
invoked by pivoting longer with the grouping context.NA
handling in rmm()
and
rm_bin_summary()
.nonlinear_bins()
by replacing its internal
for
loop with dplyr
functions, enhancing
accuracy and efficiency without introducing breaking changes.rmm()
and rm_bin_summary()
regarding
probability of survival values Ps_col < 0
and
Ps_col > 1
. Now, these functions will throw an error if
probability of survival values are Ps_col < 0
or
Ps_col > 1
.nonlinear_bins()
function has improved data
validation for the Ps_col
variable.probability_of_survival()
function.rmm()
rm_bin_summary()
nonlinear_bins()
trauma_case_mix()
trauma_performance()
rmm()
rm_bin_summary()
nonlinear_bins()
impute()
normalize()
season()
weekend()
pretty_number()
pretty_percent()
small_count_label()
stat_sig()
theme_cleaner()
%not_in%
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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