CRAN Task View: Chemometrics and Computational Physics

Maintainer:Katharine Mullen
Contact:katharine.mullen at stat.ucla.edu
Version:2022-03-07
URL:https://CRAN.R-project.org/view=ChemPhys
Source:https://github.com/cran-task-views/ChemPhys/
Contributions:Suggestions and improvements for this task view are very welcome and can be made through issues or pull requests on GitHub or via e-mail to the maintainer address. For further details see the Contributing guide.
Citation:Katharine Mullen (2022). CRAN Task View: Chemometrics and Computational Physics. Version 2022-03-07. URL https://CRAN.R-project.org/view=ChemPhys.
Installation:The packages from this task view can be installed automatically using the ctv package. For example, ctv::install.views("ChemPhys", coreOnly = TRUE) installs all the core packages or ctv::update.views("ChemPhys") installs all packages that are not yet installed and up-to-date. See the CRAN Task View Initiative for more details.

Chemometrics and computational physics are concerned with the analysis of data arising in chemistry and physics experiments, as well as the simulation of physico-chemico systems. Many of the functions in base R are useful for these ends.

The second edition of Chemometrics with R: Multivariate Data Analysis in the Natural and Life Sciences by Ron Wehrens, ISBN 978-3-662-62027-4, Springer, 2020, provides an introduction to multivariate statistics in the life sciences, as well as coverage of several specific topics from the area of chemometrics. The associated package ChemometricsWithR facilitates reproduction of the examples in the book.

The book Modern Statistical Methods for Astronomy With R Applications by Eric D. Feigelson and G. Jogesh Babu, ISBN-13: 9780521767279, Cambridge, 2012, provides an introduction to statistics for astronomers and an overview of the foremost methods being used in astrostatistical analysis, illustrated by examples in R.

The book by Kurt Varmuza and Peter Filzmoser, Introduction to Multivariate Statistical Analysis in Chemometrics, ISBN 978-1-420-05947-2, CRC Press, 2009, is associated with the package chemometrics.

A special issue of R News with a focus on R in Chemistry was published in August 2006. A special volume of Journal of Statistical Software (JSS) dedicated to oscopy and Chemometrics in R was published in January 2007.

Please e-mail the maintainer, submit an issue or pull request in the GitHub repository linked above, if we have omitted something of importance, or if a new package or function should be mentioned here.

Linear Regression Models

Nonlinear Regression Models

Curve Resolution

Partial Least Squares

Principal Component Analysis

Factor Analysis

Compositional Data Analysis

Independent Component Analysis

Clustering

Variable Selection

Self-Organizing Maps

Differential Equations

Metrology

Calibration

Cellular Automata

Thermodynamics

Interfaces to External Libraries

Spectroscopy

Mass Spectrometry

Functional Magnetic Resonance Imaging

Fluorescence Lifetime Imaging Microscopy

Fluorescence Excitation-Emission Matrix (EEM)

Carbon Dating

Astronomy and astrophysics

Optics and Scattering Approximations

Energy Modeling

Water and Soil Chemistry

Titration Curves

Electrochemistry

Health Physics

CRAN packages

Core:chemCal, Iso, kohonen, nnls, pls, PTAk.
Regular:AquaEnv, astrodatR, astroFns, astrolibR, ATmet, Bchron, BioMark, bvls, celestial, chemometrics, ChemoSpec, ChemoSpec2D, CHNOSZ, clustvarsel, compositions, constants, cosmoFns, drc, eChem, EEM, elasticnet, enpls, errors, fastICA, fingerprint, FITSio, fmri, homals, investr, leaps, lira, lspls, MALDIquant, measurements, metRology, minpack.lm, NISTunits, nlme, nlreg, OrgMassSpecR, pcaPP, psy, RadData, radsafer, rcdk, rcdklibs, RobPer, SCEPtER, SCEPtERbinary, simecol, snapshot, solaR, som, SPADAR, speaq, spectralAnalysis, spectrino, spls, stellaR, stepPlr, subselect, TIMP, titrationCurves, units, UPMASK, varSelRF, webchem, WilcoxCV.
Archived:ALS, AnalyzeFMRI, CRAC, dielectric, planar, represent.

Related links

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