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SPOTMisc  

Misc Extensions for the "SPOT" Package
View on CRAN: Click here


Download and install SPOTMisc package within the R console
Install from CRAN:
install.packages("SPOTMisc")

Install from Github:
library("remotes")
install_github("cran/SPOTMisc")

Install by package version:
library("remotes")
install_version("SPOTMisc", "1.19.52")



Attach the package and use:
library("SPOTMisc")
Maintained by
Thomas Bartz-Beielstein
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-28
Latest Update: 2022-09-05
Description:
Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'. It provides tools for hyperparameter tuning via 'keras/tensorflow', interfacing 'mlr', for performing Markov chain simulations, and for sensitivity analysis based on sequential bifurcation methods as described in Bettonvil and Kleijnen (1996). Furthermore, additional plotting functions for output from 'SPOT' runs are implemented. Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005) . Bartz-Beielstein T, Zaefferer M, Rehbach F (2021) . Bartz-Beielstein T, Rehbach F, Sen A, Zaefferer M . Bettonvil, B, Kleijnen JPC (1996) .
How to cite:
Thomas Bartz-Beielstein (2021). SPOTMisc: Misc Extensions for the "SPOT" Package. R package version 1.19.52, https://cran.r-project.org/web/packages/SPOTMisc
Previous versions and publish date:
1.2.2 (2021-05-28 09:40), 1.2.11 (2021-08-05 03:40), 1.2.18 (2021-10-20 16:00), 1.7.0 (2022-03-18 12:50), 1.18.14 (2022-05-02 10:20), 1.19.26 (2022-05-30 14:10), 1.19.40 (2022-06-28 13:50), 1.19.50 (2022-08-19 15:00), 1.19.52 (2022-09-05 17:10)
Other packages that cited SPOTMisc R package
View SPOTMisc citation profile
Other R packages that SPOTMisc depends, imports, suggests or enhances
Functions, R codes and Examples using the SPOTMisc R package
Some associated functions: MSE . RMSE . SSE . active2All . dataCensusFull . evalKerasGeneric . evalKerasMnist . evalKerasMnist_0 . evalKerasTransferLearning . evalParamCensus . funBBOBCall . funKerasGeneric . funKerasMnist . funKerasMnist_0 . funKerasTransferLearning . genCatsDogsData . genericDataPrep . getDataCensus . getExplan . getGenericTrainValTestData . getIndices . getKerasConf . getMlConfig . getMlrResample . getMlrTask . getMnistData . getModelConf . getObjf . getPredf . getSimpleKerasModel . getVarNames . ggparcoordPrepare . ggplotProgress . int2fact . kerasBuildCompile . kerasCompileResult . kerasEvalPrediction . kerasFit . kerasReturnDummy . makeLearnerFromHyperparameters . mapX2FLAGS . optimizer_adadelta . optimizer_adagrad . optimizer_adam . optimizer_adamax . optimizer_nadam . optimizer_rmsprop . optimizer_sgd . plotParallel . plotSensitivity . plot_function_surface . plot_parallel . plot_sensitivity . plot_surface . plotnice.spotTreeModel . predDlCensus . predMlCensus . prepareComparisonPlot . prepareProgressPlot . prepare_data_plot . prepare_spot_result_plot . printFLAGS . printf . resDl100 . scorePredictions . selectKerasActivation . selectKerasOptimizer . selectTarget . sequentialBifurcation . spotKeras . spotPlot . startCensusRun . startMnistRun . startXGBCensusRun . subgroups . trans_10pow . trans_10pow_round . trans_1minus10pow . trans_2pow . trans_2pow_round . trans_id . trans_mult2_round . trans_odd_round . translate_levels . valid_inputs . 
Some associated R codes: dataCensusFull.R . experimentalDesign.R . funExternal.R . funKerasCensus.R . funKerasGeneric.R . funKerasMnist.R . funKerasMnist_Deprecated.R . funKerasTransferLearning.R . getDataCensus.R . getKerasConf.R . getModelConf.R . kerasActivation.R . kerasHelper.R . kerasOptimizer.R . mapParameters.R . mlrTools.R . plotNice.R . reportSensitivityAnalysis.R . resDl100.R . spotKeras.R . spotPlot.R . spotStats.R . spotTransform.R . startCensusRun.R . startMnistRun.R . startXGBCensusRun.R .  Full SPOTMisc package functions and examples
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