Package: Imneuron
Type: Package
Title: AI Powered Neural Network Solutions for Regression Tasks
Version: 0.1.0
Authors@R: c(person("M Iqbal","Jeelani", role=c("aut","cre"),
          email="jeelani.miqbal@gmail.com", comment=c(ORCID="0000-0002-2974-2871")),
          person("Fehim","Jeelani Wani", role=c("aut"),
          comment=c(ORCID="0000-0002-4427-3540")))
Maintainer: M Iqbal Jeelani <jeelani.miqbal@gmail.com>
Description: It offers a sophisticated and versatile tool for creating
        and evaluating artificial intelligence based neural network
        models tailored for regression analysis on datasets with
        continuous target variables. Leveraging the power of neural
        networks, it allows users to experiment with various hidden
        neuron configurations across two layers, optimizing model
        performance through "5 fold"" or "10 fold"" cross validation.
        The package normalizes input data to ensure efficient training
        and assesses model accuracy using key metrics such as R squared
        (R2), Root Mean Square Error (RMSE), Mean Absolute Error (MAE),
        and Percentage Error (PER). By storing and visualizing the best
        performing models, it provides a comprehensive solution for
        precise and efficient regression modeling making it an
        invaluable tool for data scientists and researchers aiming to
        harness AI for predictive analytics.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: MLmetrics, ggplot2, neuralnet
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-10-10 16:21:44 UTC; root
Author: M Iqbal Jeelani [aut, cre]
        (<https://orcid.org/0000-0002-2974-2871>), Fehim Jeelani Wani
        [aut] (<https://orcid.org/0000-0002-4427-3540>)
Repository: https://imiqbal.r-universe.dev
Date/Publication: 2024-06-21 02:42:03 UTC
RemoteUrl: https://github.com/cran/Imneuron
RemoteRef: HEAD
RemoteSha: 902b0d63b75e1b64b1cbea15ae68563a794f3385