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NeuralSens  

Sensitivity Analysis of Neural Networks
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]
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
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