neuralnet: Training of Neural Networks

Canonical link: https://rscholar.com/pkg/neuralnet

Stefan Fritsch • Frauke Guenther • Marvin N. Wright • Marc Suling • Sebastian M. Mueller • View description and downloads View dependencies GitHub project

2008 Published

1.44.2 Version

0 Citations

5 Authors

Referenced by ⇅	Year
FSinR: Feature Selection (Version 2.0.5)	2019
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)	2022
AriGaMyANNSVR: Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models (Version 0.1.0)	2023
CEEMDANML: CEEMDAN Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)	2023
ConvertPar: Estimating IRT Parameters via Machine Learning Algorithms (Version 0.1)	2022
DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)	2024
EventDetectR: Event Detection Framework (Version 0.3.5)	2018
FRI: Relative Importance of Main and Interaction Effects (Version 1.0)	2022
FWRGB: Fresh Weight Determination from Visual Image of the Plant (Version 0.1.0)	2021
ImNN: Neural Networks for Predicting Volume of Forest Trees (Version 0.1.0)	2023
Imneuron: AI Powered Neural Network Solutions for Regression Tasks (Version 0.1.0)	2024
LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management (Version 1.2.2)	2019
MARSANNhybrid: MARS Based ANN Hybrid Model (Version 0.1.0)	2021
Modeler: Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)	2017
NeuralNetTools: Visualization and Analysis Tools for Neural Networks (Version 1.5.3)	2014
NeuralSens: Sensitivity Analysis of Neural Networks (Version 1.1.3)	2019
RSDA: R to Symbolic Data Analysis (Version 3.2.1)	2013
SignacX: Cell Type Identification and Discovery from Single Cell Gene Expression Data (Version 2.2.5)	2021
TrafficBDE: Traffic Predictions Using Neural Networks (Version 0.1.2)	2018
WaveletML: Wavelet Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)	2023
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)	2023
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
innsight: Get the Insights of Your Neural Network (Version 0.3.0)	2021
mcboost: Multi-Calibration Boosting (Version 0.4.3)	2021
misspi: Missing Value Imputation in Parallel (Version 0.1.0)	2023
mlr: Machine Learning in R (Version 2.19.2)	2013
nnfor: Time Series Forecasting with Neural Networks (Version 0.9.9)	2017
plotmo: Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)	2011
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
quarrint: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks (Version 1.0.0)	2016
trackdem: Particle Tracking and Demography (Version 0.7.2)	2017
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)	2019
vip: Variable Importance Plots (Version 0.4.1)	2018

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.