{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()