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plot_or() now respects the order of covariates in
the formula when plotting (#15).
plot_or() handles missing information to avoid
{ggplot2} related warning messages (#11).
plot_or() accepts customised confidence limits,
e.g. 99%, used when calculating the confidence intervals (#19).
plot_or() conducts checks on inputs - ensuring the
{glm} model is a logistic regression (family = ‘binomial’ and link =
‘logit’) and validates the confidence limit to be within the range 0.001
to 0.999 (#22, #19).
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.
Health stats visible at Monitor.