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).