Data processing approaches for paraffin wax odor discrimination and quantification
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Updated
Apr 6, 2023 - R
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
Functions to analyse mid infrared spectra of peat samples
The specProc package is a collection of preprocessing tools for spectroscopy data analysis.
Variable Penalty Dynamic Time Warping
R Package accomodating research for DMAS-qPCR study
volcalc: Calculate Volatility of Chemical Compounds
Tidy data structure for infrared spectra and functions to handle and preprocess them.
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
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.
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
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
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