The specProc package is a collection of preprocessing tools for spectroscopy data analysis.
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Updated
Jun 22, 2024 - R
The specProc package is a collection of preprocessing tools for spectroscopy data analysis.
volcalc: Calculate Volatility of Chemical Compounds
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Spectroscopic data processing approaches for petroleum wax blends quantification
resemble is an R package which implements functions dedicated to non-linear modelling of complex spectroscopy data
R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
R Package accomodating research for DMAS-qPCR study
Tidy data structure for infrared spectra and functions to handle and preprocess them.
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
Data processing approaches for paraffin wax odor discrimination and quantification
An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data
Data hub and data tool repository related to the NIST PFAS Program.
Variable Penalty Dynamic Time Warping
Functions to analyse mid infrared spectra of peat samples
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
R package serrsBayes
Optimized R-Scripts of Thesis_stat, with more focus on automatisation
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