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NeuralSens
View on CRAN: Click
here
Download and install NeuralSens package within the R console
Install from CRAN:
install.packages("NeuralSens")
Install from Github:
library("remotes")
install_github("cran/NeuralSens")
Install by package version:
library("remotes")
install_version("NeuralSens", "1.1.3")
Attach the package and use:
library("NeuralSens")
Maintained by
Jaime Pizarroso Gonzalo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.NeuralSens . https://github.com/JaiPizGon/NeuralSens/issues . https://github.com/JaiPizGon/NeuralSens . NeuralSens citation info . NeuralSens results . NeuralSens.pdf . NeuralSens_1.1.3.tar.gz . NeuralSens_1.1.3.zip . NeuralSens_1.1.3.zip . NeuralSens_1.1.3.zip . NeuralSens_1.1.3.tgz . NeuralSens_1.1.3.tgz . NeuralSens_1.1.3.tgz . NeuralSens_1.1.3.tgz . NeuralSens_1.1.3.tgz . NeuralSens_1.1.3.tgz . NeuralSens archive . https://CRAN.R-project.org/package=NeuralSens .
First Published: 2019-06-04
Latest Update: 2024-02-10
Description:
Analysis functions to quantify inputs importance in neural network models.
Functions are available for calculating and plotting the inputs importance and obtaining
the activation function of each neuron layer and its derivatives. The importance of a given
input is defined as the distribution of the derivatives of the output with respect to that
input in each training data point .
How to cite:
Jaime Pizarroso Gonzalo (2019). NeuralSens: Sensitivity Analysis of Neural Networks. R package version 1.1.3, https://cran.r-project.org/web/packages/NeuralSens. Accessed 04 Mar. 2025.
Previous versions and publish date:
0.0.2 (2019-06-04 14:00), 0.0.3 (2019-06-08 16:30), 0.0.5 (2019-07-11 17:32), 0.0.7 (2019-09-13 22:00), 0.0.8 (2019-09-28 17:30), 0.0.9 (2019-10-03 11:10), 0.1.0 (2019-11-12 00:50), 0.1.3 (2020-01-11 18:00), 0.1.4 (2020-02-05 16:20), 0.1.5 (2020-02-20 15:00), 0.2.0 (2020-03-13 13:30), 0.2.1 (2020-05-15 10:10), 0.2.2 (2020-11-16 17:00), 0.2.3 (2022-01-06 12:20), 1.0.0 (2022-04-27 00:00), 1.0.1 (2022-06-21 13:30), 1.0.2 (2023-03-07 13:00), 1.0.3 (2023-06-17 16:40), 1.1.1 (2024-01-12 14:20), 1.1.2 (2024-02-10 21:30)
Other packages that cited NeuralSens R package
View NeuralSens citation profile
Other R packages that NeuralSens depends,
imports, suggests or enhances
Complete documentation for NeuralSens
Functions, R codes and Examples using
the NeuralSens R package
Some associated functions: ActFunc . AlphaSensAnalysis . AlphaSensCurve . CombineSens . ComputeHessMeasures . ComputeSensMeasures . DAILY_DEMAND_TR . DAILY_DEMAND_TV . Der2ActFunc . Der3ActFunc . DerActFunc . HessDotPlot . HessFeaturePlot . HessMLP . HessToSensMLP . HessianMLP . NeuralSens . PlotSensMLP . SensAnalysisMLP . SensDotPlot . SensFeaturePlot . SensMLP . SensMatPlot . SensTimePlot . SensitivityPlots . diag3Darray-set . diag3Darray . diag4Darray-set . diag4Darray . is.HessMLP . is.SensMLP . plot.HessMLP . plot.SensMLP . print.HessMLP . print.SensMLP . print.summary.HessMLP . print.summary.SensMLP . simdata . summary.HessMLP . summary.SensMLP . syntheticdata .
Some associated R codes: ActFunc.R . AlphaSensCurve.R . CombineSens.R . ComputeHessMeasures.R . ComputeSensMeasures.R . HessDotPlot.R . HessFeaturePlot.R . HessMLP.R . HessianMLP.R . NeuralSens-package.R . PlotSensMLP.R . SensAnalysisMLP.R . SensDotPlot.R . SensFeaturePlot.R . SensMLP.R . SensMatPlot.R . SensTimePlot.R . SensitivityPlots.R . data.R . diag3Darray.R . diag4Darray.R . Full NeuralSens package functions and examples
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