NEWS.md
mtry
exceeds the number of explanatory variablesOR%
change as a columns in output for Model > Logistic regression and the write.coeff
functionranger
package. Includes a cv.rforest
function for tuning using cross-validationxgboost
package. Includes a cv.gbt
function for tuning using cross-validation. For convenience, all data.frame-to-matrix-conversion is handled by radiantonehot
function to make converting a data.frame with categorical variables to a matrix a bit easierpatchwork
for grouping multiple plots togetherlogistic
and regress
functionsregress
functionnobs
in Model > Multinomial logistic regression.write.coeff
for use with Model > Multinomial logistic regression
write.coeff
when interactions, quadratic, and/or cubic terms are included in a linear or logistic regressioncv.nn
so RMSE and MAE are in the original scale even if the data were standardized for estimationscaledf
to scale_df
for consistencycv.nn
when weights are used in estimationnn
and crtree
models (i.e., cv.nn
and cv.crtree
)shinyAce
input for the formula and function inputs in Model > Simulate
test
instead of validation
cv.crtree
) and neural networks(cv.nn
) that can use various performance metrics for during evaluation e.g., auc
or profit
shiny::runApp
when starting radiant such as the port to use. For example, radiant.model::radiant.model(“https://github.com/radiant-rstats/docs/raw/gh-pages/examples/demo-dvd-rnd.state.rda”, port = 8080)pred_data
or pred_cmd
)car
for regress
and logistic
shinyFiles
to provide convenient access to data located on a serverrstudioapi
as a direct importsvg
to png
for plots in _Report > Rmd_ and _Report > R_.
svg` scatter plots with many point get to big for practical use on servers that have to transfer images to a local browsermethods
packageshiny::makeReactiveBinding
. The advantage is that the code generated for Report > Rmd and Report > R will no longer have to use r_data
to store and access data. This means that code generated and used in the Radiant browser interface will be directly usable without the browser interface as well.type: decision
, type: chance
, payoff
, etc.)Estimate model
button indicates when the output has been invalidated and the model should be re-estimatedpriors
in crtree
(rpart
)crtree
(based on rpart
)plot.crtree
crtree
codeevalbin
and confusion
write.coeff
crtree
to avoid labels < 0.5 and >= 0.5crtree
. The tooltip (aka hover-over) will contain all levels used, but the tree label may be truncated as neededlogistic
to specify if profiling or the Wald method should be used for confidence intervals. Profiling will be used by default for datasets with fewer than 5,000 rowsstyler
to codeSimulate
plot.logistic
HC1
covariance matrix is used to produce results consistent with Stata