NeuralSens
Sensitivity Analysis of Neural Networks
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 <doi:10.18637/jss.v102.i07>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.3 |
rolling linux/jammy R-4.5 | NeuralSens_1.1.3.tar.gz |
430.4 KiB |
1.1.3 |
rolling linux/noble R-4.5 | NeuralSens_1.1.3.tar.gz |
430.2 KiB |
1.1.3 |
rolling source/ R- | NeuralSens_1.1.3.tar.gz |
227.2 KiB |
1.1.3 |
latest linux/jammy R-4.5 | NeuralSens_1.1.3.tar.gz |
430.4 KiB |
1.1.3 |
latest linux/noble R-4.5 | NeuralSens_1.1.3.tar.gz |
430.2 KiB |
1.1.3 |
latest source/ R- | NeuralSens_1.1.3.tar.gz |
227.2 KiB |
1.1.3 |
2026-04-26 source/ R- | NeuralSens_1.1.3.tar.gz |
227.2 KiB |
1.1.3 |
2026-04-23 source/ R- | NeuralSens_1.1.3.tar.gz |
227.2 KiB |
1.1.3 |
2026-04-09 windows/windows R-4.5 | NeuralSens_1.1.3.zip |
435.9 KiB |
1.1.3 |
2025-04-20 source/ R- | NeuralSens_1.1.3.tar.gz |
227.2 KiB |