{"Package":"prospectr","Type":"Package","Title":"Miscellaneous Functions for Processing and Sample Selection of\nSpectroscopic Data","Version":"0.2.8","Date":"2025-03-05","Authors@R":"c(\nperson(given = \"Antoine\",\nfamily = \"Stevens\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-1588-7519\")),\nperson(given = \"Leonardo\",\nfamily = \"Ramirez-Lopez\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ramirez.lopez.leo@gmail.com\",\ncomment = c(ORCID = \"0000-0002-5369-5120\"))\n)","Author":"Antoine Stevens [aut] (),\nLeonardo Ramirez-Lopez [aut, cre]\n()","Maintainer":"Leonardo Ramirez-Lopez ","BugReports":"https://github.com/l-ramirez-lopez/prospectr/issues","Description":"Functions to preprocess spectroscopic data\nand conduct (representative) sample selection/calibration sampling.","License":"MIT + file LICENSE","URL":"https://github.com/l-ramirez-lopez/prospectr","VignetteBuilder":"knitr","Suggests":"knitr, rmarkdown, formatR, testthat, bookdown","LinkingTo":"Rcpp, RcppArmadillo","Depends":"R (>= 3.5.0),","Imports":"foreach, iterators, Rcpp (>= 1.0.1), mathjaxr (>= 1.0),\nlifecycle (>= 0.2.0)","RdMacros":"mathjaxr","RoxygenNote":"7.3.2","NeedsCompilation":"yes","LazyData":"true","LazyDataCompression":"xz","Repository":"CRAN","Encoding":"UTF-8","Config/VersionName":"galo","Packaged":"2025-03-05 22:54:01 UTC; leo","Date/Publication":"2025-03-05 23:20:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/prospectr_0.2.8.tar.gz","jsonAuthors":[{"name":"Antoine Stevens","email":null,"maintainer":false},{"name":"Leonardo Ramirez-Lopez","email":"ramirez.lopez.leo@gmail.com","maintainer":true}],"readme":"# prospectr\n\n[![CRAN\\_Status\\_Badge](http://www.r-pkg.org/badges/version/prospectr)](https://CRAN.R-project.org/package=prospectr)\n[![Downloads](https://cranlogs.r-pkg.org/badges/prospectr)](https://cranlogs.r-pkg.org/badges/prospectr)\n\n

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\nMisc. Functions for Processing and Sample Selection of Spectroscopic\nData\n
\n\n *Antoine Stevens & Leo Ramirez-Lopez*\n\n*Last update: 2025-03-05*\n\nVersion: 0.2.8 – galo\n\n`prospectr` is becoming more and more used in spectroscopic\napplications, which is evidenced by the number of scientific\npublications citing the package. This package is very useful for signal\nprocessing and chemometrics in general as it provides various utilities\nfor pre–processing and sample selection of spectral data. While similar\nfunctions are available in other packages, like\n[`signal`](https://CRAN.R-project.org/package=signal), the functions in\nthis package works indifferently for `data.frame`, `matrix` and `vector`\ninputs. Besides, several functions are optimized for speed and use C++\ncode through the [`Rcpp`](https://CRAN.R-project.org/package=Rcpp) and\n[`RcppArmadillo`](https://CRAN.R-project.org/package=RcppArmadillo)\npackages.\n\n## Installing it from GitHub\n\nInstall this package from github by:\n\n remotes::install_github(\"l-ramirez-lopez/prospectr\")\n\nNOTE: in some MAC Os it is still recommended to install `gfortran` and\n`clang` from [here](https://cran.r-project.org/bin/macosx/tools/). Even\nfor R >= 4.0. For more info, check this\n[issue](https://github.com/tidyverts/fable/issues/193).\n\n## News\n\nCheck the NEWS document for new functionality and general changes in the\npackage.\n\n## Vignette\n\nA vignette for `prospectr` explaining its core functionality is\navailable at\n.\n\n## Core functionality\n\nA vignette gives an overview of the main functions of the package. Just\ntype `vignette(\"prospectr-intro\")` in the console to access it.\nCurrently, the following preprocessing functions are available:\n\n- `resample()` : resample a signal to new coordinates by linear or\n spline interpolation\n\n- `resample2()` : resample a signal to new coordinates using FWHM\n values\n\n- `movav()` : moving average\n\n- `standardNormalVariate()` : standard normal variate\n\n- `msc()` : multiplicative scatter correction\n\n- `detrend()` : detrend normalization\n\n- `baseline()` : baseline removal/correction\n\n- `blockScale()` : block scaling\n\n- `blockNorm()` : sum of squares block weighting\n\n- `binning()` : average in column–wise subsets\n\n- `savitzkyGolay()` : Savitzky-Golay filter (smoothing and\n derivatives)\n\n- `gapDer()` : gap-segment derivative\n\n- `continuumRemoval()` : continuum-removed absorbance or reflectance\n values\n\nThe selection of representative samples/observations for calibration of\nspectral models can be achieved with one of the following functions:\n\n- `naes()` : k-means sampling\n\n- `kenStone()` : CADEX (Kennard–Stone) algorithm\n\n- `duplex()` : DUPLEX algorithm\n\n- `shenkWest()` : SELECT algorithm\n\n- `puchwein()` : Puchwein sampling\n\n- `honigs()` : Unique-sample selection by spectral subtraction\n\nOther useful functions are also available:\n\n- `read_nircal()` : read binary files exported from BUCHI NIRCal\n software\n\n- `readASD()` : read binary or text files from an ASD instrument\n (Indico Pro format)\n\n- `spliceCorrection()` : correct spectra for steps at the splice of\n detectors in an ASD FieldSpec Pro\n\n- `cochranTest()` : detects replicate outliers with the Cochran *C*\n test\n\n## Citing the package\n\nAntoine Stevens and Leornardo Ramirez-Lopez (2025). An introduction to\nthe prospectr package. R package Vignette R package version 0.2.8. A\nBibTeX entry for LaTeX users is:\n\n @Manual{stevens2022prospectr,\n title = {An introduction to the prospectr package},\n author = {Antoine Stevens and Leornardo Ramirez-Lopez},\n publication = {R package Vignette},\n year = {2025},\n note = {R package version 0.2.8},\n }\n\n## Bug report and development version\n\nYou can send an email to the package maintainer\n() or create an\n[issue](https://github.com/l-ramirez-lopez/prospectr/issues) on github.\nTo install the development version of `prospectr`, simply install\n[`devtools`](https://CRAN.R-project.org/package=devtools) from CRAN then\nrun `install_github(\"l-ramirez-lopez/prospectr\")`.","jobInfo":{"package":"prospectr","version":"0.2.8","parsingStatus":"success","parserVersion":2,"parsedAt":"2025-03-06T00:30:10+0000"}}

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