R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
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Updated
Feb 16, 2024 - R
R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
resemble is an R package which implements functions dedicated to non-linear modelling of complex spectroscopy data
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data
R package serrsBayes
Data hub and data tool repository related to the NIST PFAS Program.
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Tidy data structure for infrared spectra and functions to handle and preprocess them.
volcalc: Calculate Volatility of Chemical Compounds
Variable Penalty Dynamic Time Warping
R Package accomodating research for DMAS-qPCR study
Functions to analyse mid infrared spectra of peat samples
The specProc package is a collection of pre-processing tools for analyzing laser-induced breakdown spectroscopy (LIBS) spectra.
Data processing approaches for paraffin wax odor discrimination and quantification
Optimized R-Scripts of Thesis_stat, with more focus on automatisation
Spectroscopic data processing approaches for petroleum wax blends quantification
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