Updates for R version 4.3.2. For example, had to change “sort.unique” to “sort_unique”.
Removed dependency on possibly orphaned package TeachingDemos.
Minor updates for R version 4.2.0.
Minor updates for R version 4.1.0. These updates quieten some warnings from sprintf when plotmo’s trace flag is set. Also updated some of the test scripts.
We now have better support for models with unusual variable names. For example, variable names with spaces in them, and formula terms like “as.numeric(x1)”. This required a fairly large change to the handling of formulas.
We now support models like “earth(formula, data=func(data))”, where the data argument is a function call.
Minor code change because base::range no longer seems to work with Date objects.
Better support for residuals plots for earth-glm models.
Support for the “ordinal” package (“clm” models).
Basic support for “parsnip” models.
Minor documentation updates.
Updated the libraries shared with the earth and plotmo packages.
Extended the test scripts and updated them for R version 4.0.2.
Added new dot arguments “prednames.abbreviate” and “prednames.minlength”. o Use prednames.abbreviate=FALSE for full predictor names in graph axes. (The default is prednames.abbreviate=TRUE.) o The “prednames.minlength” argument is passed on internally to base::abbreviate().
Reinstated the tests for the emma package (were removed before because emma gave the message “package ‘clusterSim’ could not be loaded”).
The family of a model can now be a string (as well as a “family” object). This allows better support of glmnet objects.
S4 models wrapped in caret models are now supported e.g. train method=“svmRadial” (which creates a kernlab ksvm model).
Modifications for glmnet models: The glmnet residuals plot now includes the predict arg “s” in the plot title. The default ylim for glmnet probability models is now c(0,1). For glmnet cv models: we now pass the predict.s argument to plotmo and plotres, and plotmo now by default plots a maximum of 25 coefs (the largest coefs).
Updated test scripts for the new random number generator that came with R version 3.6.0.
Added a reminder to use keepxy=2 for earth if you want to use plot.earth or plotmo on an earth cross-validation submodel.
Plotmo now requires R version at least 3.4.0. Minor updates to libraries shared with earth and rpart.plot.
Extended plotmo to support earth version 5.0.0, which allows multiple responses using the Formula package. Plotmo now also has partial support for other models also created using Formula (as well as those that use formula). Added “Depends: Formula” to the DESCRIPTION.
Binomial pair responses are now more uniformly converted to a “fraction true” before plotting.
If nresponse is not specified for multiple response models, plotmo now defaults to nresponse=1 with a warning (whereas previous versions of plotmo issued an error message).
Updates to the libraries shared with earth.
Improved support for models specified with a formula containing an offset term.
The grid.levels argument can now be used with pmethod=“partdep”.
Can now plot multinomial models from the “pre” package.
Tweaked linmod.R to better handle models with all-zero residuals, and updated the documentation.
Minor changes to internal function calls to prevent warnings when options(warnPartialMatchArgs=TRUE).
Added “LazyData: yes” to the DESCRIPTION file.
The default pegged value of background variables has changed in this version, but only for logical and factor variables. For these variables the value occurring most often in the training data is used as the background value. (In previous plotmo versions, the first level of factors was used. But the majority level seems more consistent with the median used for numerics. Also, in previous versions logicals and integers were sometimes incorrectly converted to numeric.) Note this change doesn’t affect pmethod=“partdep” and “apartdep”, which continue to behave as in previous versions.
We now support base::Date variables.
Plotmo now has better support for caret rpart models with factor predictors.
Added support for the partykit and evtree packages. Thanks to Achim Zeilis for his help.
Plotmo is now more intelligent about maximizing the number of degree2 plots in the 4x4 grid.
Minor updates to linmod.R and linmod.methods.R.
If plotting a probability and pt.col is specified, we now scale the response range to 0…1 so the points are displayed on the probability scale.
Expanded is.predict.prob() function for more models.
Fixed a minor bug in pmethod=“partdep” which sometimes incorrectly caused an error message under certain conditions when there is only one predictor (added a missing drop=FALSE).
Enhanced support for the mlr package (but we can’t support mlr objects properly until the call is saved with WrappedModels).
Enhanced support for the caret package (we now use get.singles and get.pairs on the submodel).
If predict.rpart is predicting a probability, plotmo now recognizes that and sets ylim=c(0,1) appropriately.
Plotting of intercept-only models was slightly inconsistent. Fixed that.
We now attempt to better set the default nticks in persp plots.
We now position the labels in persp plots slightly better along the axes (they were sometimes too far away from the front corner).
When degree2 is exactly two strings, we now assign the x1 and x2 axes in the order specified in degree2 (although persp plots still get rotated for optimum visibility of the surface, and this rotation can reverse the order of the axes).
Added basic support for the mlr package (see test.mlr.R).
Documentation updates, especially to modguide.pdf and linmod.R.
Added a README file.
If degree2 is exactly two strings, plotmo now prints just that degree2 plot e.g. degree2=c(“wind”, “humidity”). We plot the variable pair even that pair isn’t used in the model (because we implicitly set all2=TRUE if degree2 is two strings).
If degree1 is of type character, we now plot the variable even if it isn’t used in the model (because we implicitly set all1=TRUE if degree1 is is of type character).
For the qq plot in plotres, changed the diagonal qq line to dotted black. This gives more compatibility with plot.lm, and also means that the legend for the density subplot along the bottom of the qq plot (with info=TRUE) isn’t mistakenly assumed to apply to the main plot. For the old behavior use qqline.col=“gray”, qqline.lty=1.
Added basic support for the “pre” package (using the importance function in that package).
Fixed minor bug: the plotmo grid wasn’t printed if ylim was specified by the user.
The vignettes are now compressed with gs and qpdf as in tools::compactPDF, (but that happens outside the standard CRAN build system). It does mean that the tar.gz file for plotmo is a little smaller (now 1155 kByte).
Minor documentation updates.
Added support for package gam version 1.15 and higher (the S3 class of gam objects changed from “gam” to “Gam” to prevent clashes with the mgcv package). Plotmo now works with both the old and new versions of gam.
Added support for glmnetUtils objects.
Error “glmnet.formula must be called with use.model.frame=TRUE” is now issued when necessary.
Tweaked test scripts because cosso models fail with R version 3.4.0.
Support for the C50 package.
Better handling of NA and 0 colors in plot_glmnet.
Better messages to the user for models with too many variables to fit on a page.
With all2=2, plotmo will now plot up to a maximum of all pairs of 20 variables (and as always, with all2=TRUE plotmo will plot a maximum of all pairs of 7 variables).
When choosing which variables to plot for randomForest models, variable importance is now calculated using a more correct measure, viz. one of IncMSE or IncNodePurity (regression models), or MeanDecreaseAccuracy or MeanDecreaseGini (classifications models). The second option is used if importance=TRUE was used when building the model. Use trace=1 when calling plotmo to see which measure of importance is used.
The plot_gbm function now displays the gray vertical line at the correct position when n.trees is specified.
Documentation touchups.
Added support for partial dependence plots (the pmethod argument).
Extended the vignette with new chapters on partial dependence plots and classification models.
Plotmo’s nrug argument now supports quantiles.
The title on persp plots is now better aligned to the degree plot titles. The margins for persp plots are now more optimal (they now give bigger plots when do.par=FALSE and there are also degree1 plots).
Added support for e1071::predict.svm decision.values and probability arguments.
Fixed error message when plot_gbm was used on multinomial models. Fixed warnings in plot_gbm when gbm.ntrees is very small (less than 10).
Added support for gbm package version 2.2. See gbm.backcompat.R.
Extended linmod.R: support for no-intercept models, support for ‘keep’ argument, better handling of newdata in predict.linmod. Also extended the tests for linmod.R in inst/slowtests.
The functions plot_gbm and plot_glmnet are now exported and available for the user. These functions have been enhanced for this version.
Improved support for gbm and glmnet and related models.
The plotres function now works better with caret “train” models (but caret support is still a bit minimal).
We now print “plotmo grid:” instead of just “grid:” for context when it’s printed from within a body of code.
Removed deprecated interface functions like get.plotmo.pairs.
Updated dot library functions for eventual move to a dots package.
Revamped the vignettes.
The pt.cex argument now works correctly in plotres QQ plots.
Changed default colors in plot.glmnetx. The colors stay in the order they are passed to plot.glmnetx as we move down the rhs of the plot.
Extended test suite to include adabag package.
Fixed code in meta.R which assumed all.equal() always returned TRUE or FALSE.
Merged the library source file lib.R with the earth and rpart.plot packages’s lib.R.
Updated and extended vignettes.
Added support for the adabag package.
Added imports for standard grDevices, stats, and utils functions, as now required by CRAN check.
Documentation updates. Thanks to Achim Zeileis for his feedback.
Added plotmo.prolog.cv.glmnet (to handle missing “call” in cv.glmnet objects). More work on the issue where vars on the rhs of formula are multidimensional. Documentation updates.
Added the new vignette “Guidelines for S3 Regression Models”. Documentation touchups.
Removed references needed for old versions of earth. Fixed a gbm column naming issue. Other minor code and document updates.
Removed references to functions in old versions of earth.
Simplified the way xlim and ylim are calculated internally.
Simplified the way jitter is handled.
If type=“probability” or similar, and the response has two columns, nresponse now automatically defaults to column 2.
Added support for biglm objects. The predict.biglm method (unnecessarily) requires that newdata has a response column, so plotmo adds a dummy response column before calling predict.biglm.
We now find the data argument for formula models even if the argument is unnamed.
Added the plotres function.
Reworked the internal functions that get the data from the model.
Reparameterized the argument list of plotmo, but maintained backwards compatibility using the “dots” routines.
If pch.response has type character, we now plot the response points as text.
Earth models with no degree1 terms but with degree2 terms were incorrectly labelled as intercept-only models. Fixed that.
Changes to match changes to earth’s predict.varmod interval argument.
Fixed incorrect printing of some messages when trace=-1.
Expansions to check.index for earth.
Documentation touchups.
Added a vignette “Notes on the plotmo package”.
Some more functions are now exported to allow earth::plotmor to easily get the model data
Some documentation touchups as usual.
Plotting of prediction or confidence levels is now more comprehensive. We now allow both prediction and confidence intervals to be plotted for those predict methods that support it on new data (currently only lm). The “se” argument is now deprecated and superseded by the “limit” argument (you will get a warning).
Plotmo will now plot the model even if it is an intercept-only model. Use int.only.ok=FALSE for the old behaviour (i.e., issue an error for intercept-only models).
The “grid:” message in now printed for only multiple predictor models. Remember that you can always suppress this message in any case with trace=-1.
The xlim argument is now supported. Typically only useful if only one degree1 plot.
Plotmo now supports quantreg and quantregForest objects.
Basic support for the AMORE package has been provided. Thanks to Bernard Nolan and David Lorenz for this. But this has been commented out in the source code to avoid having “suggests(AMORE)” in the plotmo DESCRIPTION file. To use functions, search for AMORE in the plotmo source code, and cut and paste the commented-out code into your environmemt.
The default pch.response is now 20 (was 1).
The default cex.response is now NULL (meaning automatic, was 1).
Minor other changes to fix formatting of captions etc.
Clerical changes to satisfy recent CRAN check requirements.
You can now use trace=-1 to inhibit the “grid:” message.
Removed a call to .Internal(persp)
Fixed an minor incorrect message introduced in the previous release.
You can now specify variables by name in degree1 and degree2. Suppressed annoying “Warning: surface extends beyond the box”. We no longer issue an incorrect err msg if data frame has an “AsIs” field.
Removed an incorrect stopifnot.integer(y.column) in plotmo_y.wrapper
Fixed an incorrect stop when trace>0 and x had no column names. We no longer print the plot index in the plot title when all1 or all2 specified but also degree1 and degree2. Added get.plotmo.default.type.fda Touchups to the documentation.
Removed hooks for the earth package (which are no longer necessary with earth 2.6-2). The file plotmo.methods.R was deleted.
Added the grid argument.
This package no longer needs the earth package. However the current earth (2.6-1) needs some hooks in this package to build. After earth 2.6-2 is on CRAN that will no longer be necessary, and the hooks will be removed from this package. We now have better error reporting for bad y’s. We now have better jittering of response points with a binary response.
Added ndiscrete arg (variables with a small number of levels are now plotted as “blocks”, like factors). Added smooth.col and related args (plotmo can add a loess line). Made tweaks necessary because earth now imports this package. Added dvalue and npoints args. Added center arg (preliminary implementation). Added basic support for lars, nnet, and knn3 models. Jittering now works better. We now jitter response points for factors and discrete variables by default. plotmo is now faster: We cache the plot data to avoid calling predict twice for each plot For discrete vars and factors we only call predict for their original values ngrid1 is much smaller (ok to do that because of ndiscrete arg) Better error reporting for illegal args. Reduced the number of default colors (just grays and lightblue now). Out-of-range values in image plots are now plotted in blue. Fixed an issue where the wrong environment could be used. Better error reporting for unsupported models. Fixed handling of factors with non contiguous levels Modified test scripts to conform to R 2.13.0’s way of printing numbers Numerous other document and code touch ups.
plotmo was printing degree1 graphs for all used earth predictors, not just those appearing in degree1 terms. Fixed that.
plotmo was not handling all1=TRUE correctly for earth models with factor predictors. Fixed that.
Initial release. Moved plotmo from earth 2.5-1 to here.