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Achievement: QuickdrawAchievement: Pull Sharkx2

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ChristianGoueguel/README.md

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About

Hi there, and welcome to my GitHub profile! I'm passionate about laser spectroscopy and chemometrics, with a focus on spectral data preprocessing. In recent years, I’ve been working on various laser-based analytical techniques. I’ve developed a few R and Python packages for spectral data analysis. Feel free to check them out...!

Areas of Interest

  • Developing laser-based analytical techniques.
  • Co-optimizing instrument settings and predictive models.
  • Building open-source software tools and pipelines for raw spectral data preprocessing.

Pinned Loading

  1. specProc specProc Public

    Preprocessing of spectroscopic data in R, built for LIBS and also usable with ICP-OES, Raman, NIR, and other spectral data. It covers baseline correction, normalization, smoothing, outlier detectio…

    R 5 1

  2. HotellingEllipse HotellingEllipse Public

    Computes Hotelling's T² confidence ellipses (2D) and ellipsoids (3D) for PCA or PLS score plots at a user-specified confidence level. Returns the boundary coordinates for plotting, along with the s…

    R 6

  3. ConfidenceEllipse ConfidenceEllipse Public

    Computes the coordinate points of confidence ellipses and ellipsoids for a given bivariate and trivariate dataset, at user-defined confidence level.

    R

  4. pyEllipse pyEllipse Public

    A Python library for creating and analyzing confidence ellipses, including Hotelling's T-squared ellipses for multivariate statistical analysis and data visualization.

    Jupyter Notebook

  5. lwpls lwpls Public

    Locally-weighted partial least squares (LW-PLS) for tidymodels: just-in-time regression and classification with a fast C++ engine, covariance-based LW-PLS (CbLW-PLS), and parsnip, dials and tune in…

    R

  6. manifold-sculpting manifold-sculpting Public

    Manifold Sculpting nonlinear dimensionality reduction for R, with a fast C++ engine and a recipes step for tidymodels.

    R