Other packages > Find by keyword >

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:
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. Accessed 05 Mar. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA