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New versions of the caret (3.08) and caretLSF (1.12) packages have been released. caret (short for "Classification And REgression Training") aims to simplify the model building process. The package has functions for data splitting, pre-processing and model tuning, as well as other miscellaneous functions. In the new versions:...

New versions of the caret (3.08) and caretLSF (1.12) packages have been released. caret (short for "Classification And REgression Training") aims to simplify the model building process. The package has functions for data splitting, pre-processing and model tuning, as well as other miscellaneous functions. In the new versions:...

...chips individually using information from the training set samples. Three vignettes come with the package and include several examples. A few example data sets, mostly from quantitative structure-activity relationship (QSAR) experiments, are also contained in the package. The other two packages, caretLSF and caretNWS, provide alternate versions of caret's train function that can be executed in parallel using the Rlsf and nws packages, respectively. For example, if bootstrapping is used to tune a model, the B models can be split over M different nodes. For caretNWS, either the free nws package o...

...chips individually using information from the training set samples. Three vignettes come with the package and include several examples. A few example data sets, mostly from quantitative structure-activity relationship (QSAR) experiments, are also contained in the package. The other two packages, caretLSF and caretNWS, provide alternate versions of caret's train function that can be executed in parallel using the Rlsf and nws packages, respectively. For example, if bootstrapping is used to tune a model, the B models can be split over M different nodes. For caretNWS, either the free nws package o...

New major versions of the caret packages (caret 3.37, caretLSF 1.23 and caretNWS 0.23) have been uploaded to CRAN. caret is a package for building and evaluating a wide variety of predictive models. There are functions for pre-processing, tuning models using resampling, visualizing the results, calculating performance and estimating variable importance. care...

New major versions of the caret packages (caret 3.37, caretLSF 1.23 and caretNWS 0.23) have been uploaded to CRAN. caret is a package for building and evaluating a wide variety of predictive models. There are functions for pre-processing, tuning models using resampling, visualizing the results, calculating performance and estimating variable importance. care...

...redicted value computations were changed to incorporate prevalence - prevalence was added as an option to several functions - detection rate and prevalence statistics were added to confusionMatrix - the examples were expanded in the help files This version of caret will break compatibility with caretLSF and caretNWS. However, these packages will not be needed now (see above) and will be deprecated. They will work on versions of caret <= 3.51 and will not be developed going forward. However, they can still be found at fhttps://r-forge.r-project.org/projects/caret/ Send questions, comments et...

...redicted value computations were changed to incorporate prevalence - prevalence was added as an option to several functions - detection rate and prevalence statistics were added to confusionMatrix - the examples were expanded in the help files This version of caret will break compatibility with caretLSF and caretNWS. However, these packages will not be needed now (see above) and will be deprecated. They will work on versions of caret <= 3.51 and will not be developed going forward. However, they can still be found at fhttps://r-forge.r-project.org/projects/caret/ Send questions, comments et...