{workflows} and
{parsnip} models.guide argument in
{ggplot2}.{xgboost} models are not
returned and the user can set the tolerance level.lwdOuter to be 0 on Windows
machines and 0.5 on non-Windows machines. Based on a pull request from
xfim.coefplot() on a
{glmnet} model.interactive argument causes the plot to be
interactive, using {plotly}.coefpath() has an argument for ID and assigns a random
ID to the {dygraph} object if one is not supplied.{xgboost} models are not
returned by default.coefpath to plot the coefficient path resulting
from a glmnet object.coefplot now displays the coefficients from a linear
xgboost model.{ggplot2}.coefplot() on a data.frame that is
properly setup like on resulting from
coefplot(..., plot=FALSE).{glmnet} models. Added tests.mulitplot() there is now an option to reverse the
order of the legend so it matches the ordering in the plot.#Version 1.1.9 - Refactoring of code to make new models easier to add. - For now this means certain functionality will be lost, such as the shortening of coefficient names, plot a factor variable numerically.
{gpplot2} 0.9.2.multiplot(). Previously, if multiple models with the same
formula but different data.frames were inputed then they would all have
the same name (even if specified with the names argument)
and only one model would be plotted. This now works as expected,
plotting all the models regardless of identical formulas.reshape2::melt() so that
variable.name and value.name behave properly
with new ggplot2rxLogit()multiplot() can plot in a single pane or in facetsmatch.arg()coefplot.rxLinMod()multiplot() to plot numerous models at oncecoefplot.lm() to their own
functionslm(),
glm() and rxLinMod()