R package: Misc. Functions for Processing and Sample Selection of Spectroscopic Data
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Updated
Jul 2, 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.
Tidy data structure for infrared spectra and functions to handle and preprocess them.
Data hub and data tool repository related to the NIST PFAS Program.
R package serrsBayes
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
An R package for preprocessing and Multivariate Analysis of Two-dimensional Gas Chromatography Data
Data processing approaches for paraffin wax odor discrimination and quantification
volcalc: Calculate Volatility of Chemical Compounds
Spectroscopic data processing approaches for petroleum wax blends quantification
📈 Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Variable Penalty Dynamic Time Warping
Optimized R-Scripts of Thesis_stat, with more focus on automatisation
Functions to analyse mid infrared spectra of peat samples
R Package accomodating research for DMAS-qPCR study
Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo
The specProc package is a collection of preprocessing tools for spectroscopy data analysis.
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