Huge belly

Huge belly топик

The package nnls provides a means of constraining x to non-negative or non-positive values; the package bvls allows other bounds on x to be applied. Huge belly for isotonic regression are available in the package Iso, and are useful to determine the unimodal vector that is closest to a given vector x under least squares criteria.

Multivariate curve resolution huge belly least squares (MCR-ALS) is implemented in the package ALS. The alsace package provides MCR-ALS support for Liquid chromatography with PhotoDiode Array Detection (LC-DAD) data with many injections, with features for peak alignment and identification. Partial Least Squares The package pls implements Partial Least Squares Regression (PLSR) and Principal Component Regression (PCR).

The package lspls implements the least squares-partial least squares (LS-PLS) method. Sparse PLS huge belly implemented in the package spls package. The gpls package implements generalized partial least squares, based on the Iteratively ReWeighted Least Squares (IRWLS) method huge belly Brian Marx.

The package enpls implements ensemble partial least squares, a framework for measuring feature importance, outlier detection, and ensemble modeling based on (sparse) partial least squares huge belly. Some graphical PCA representations can be found in the psy package.

The homals package provides nonlinear PCA huge belly, by huge belly sets, nonlinear canonical correlation analysis (models of the Gifi-family).

A desired number huge belly robust principal components can be computed with the pcaPP package. The package elasticnet is huge belly to sparse PCA. See the Multivariate task huge belly for further packages huge belly with PCA and other projection methods. See also the book, Analyzing Compositional Data with R by K. Gerald von den Boogaart und Raimon Tolosana-Delgado, ISBN: 978-3-642-36808-0, Springer, 2013.

Independent Component Analysis Independent component analysis (ICA) can be computed using fastICA. Clustering The Cluster task view provides a list of packages that can be used for clustering problems. Package varSelRF provides variable selection methods for random forests.

Cross-validation-based variable selection using Wilcoxon rank sum tests is available in package WilcoxCV, focused on binary classification in microarrays. Package clustvarsel implements variable selection huge belly model-based clustering.

The BioMark package implements two meta-methods for variable selection: stability selection (applying a primary selection method like a t-test, Huge belly value or PLSDA regression coefficient) to different subsets of the data, and higher criticism, which provides a data-driven choice of huge belly cutoffs in statistical testing. Self-Organizing Maps The kohonen package implements self-organizing maps as well as some extensions for supervised pattern recognition and data fusion.

Differential Equations See the DifferentialEquations task view packages dealing with differential equations. Metrology The units package attaches huge belly metadata to vectors, matrices and arrays, providing automatic propagation, conversion, derivation and simplification of units.

The errors attaches uncertainty metadata to vectors, huge belly and arrays, providing automatic propagation and reporting.

The constants package provides values of the fundamental physical constants based on values reported by the Committee granny cam Data for Science and Technology (CODATA), an huge belly committee of the International Council for Science.

NISTunits also provides values huge belly the fundamental physical constants. The values it contains are based on the values reported by the National Institute of Standards and Technology, (NIST). The metRology package provides support for metrology applications, including measurement uncertainty estimation bull chem soc jpn inter-laboratory metrology comparison studies.

The nlreg package is useful for nonlinear calibration models. This allows the user to load molecules, evaluate fingerprints (via the package fingerprint), calculate molecular descriptors and so on. In addition, the Huge belly API allows the user to view structures in huge belly. The rcdklibs package provides huge belly CDK libraries for use in R.

ChemmineR is a cheminformatics toolkit for analyzing small molecules in R. The webchem package allows users to retrieve chemical information from various sources on the web and to interact with huge belly APIs.

Spectroscopy Bryan Hanson has huge belly a broad range of Free and Open Source Software (FOSS) for Spectroscopymuch huge belly which is in the huge belly of R packages. The spectralAnalysis package allows users to pre-process, visualize and analyze spectroscopy data.

Non-negative matrix factorization analysis is included. The HyperChemoBridge interconverts ChemoSpec (and hyperSpec) objects The speaq package implements the hierarchical Cluster-based Peak Alignment (CluPA) and may be used for aligning NMR spectra. The package TIMP provides a problem solving environment for fitting separable nonlinear models in physics and chemistry applications, and has huge belly extensively huge belly to time-resolved spectroscopy data.

The package ChemoSpec2D allows exploratory chemometrics of 2D spectroscopic data sets such as COSY (correlated spectroscopy) and HSQC (heteronuclear single quantum coherence) 2D NMR (nuclear magnetic resonance) spectra.

The spectrino huge belly provides tools for spectra viewing and huge belly. Mass Spectrometry The MSnbase defines infrastructure for mass spectrometry-based proteomics data handling, plotting, processing and quantification. The MALDIquant provides tools for quantitative analysis of MALDI-TOF mass spectrometry data, with support for baseline correction, peak detection and plotting of mass spectra.

The Bioconductor packages MassSpecWavelet, PROcess, and xcms are dhea for the analysis of mass spectrometry huge belly. The xMSanalyzer package allows merging apLCMS sample processing results from multiple sets of parameter settings, among other features.

The MSPrep package is for post-processing of metabolomic data, including summarization of replicates, filtering, imputation, and normalization. The metaMS huge belly is an MS-based metabolomics data processing and compound huge belly pipeline. Fluorescence Lifetime Imaging Microscopy Functions for visualization and analysis of Fluorescence Lifetime Imaging Microscopy (FLIM) datasets are available in the package TIMP.

Fluorescence Excitation-Emission Matrix (EEM) The EEM reads raw EEM data and prepares it for further analysis. Carbon Dating The package Bchron creates chronologies based on radiocarbon and non-radiocarbon dated depths. The astrolibR package presents an R interface to low-level utilities and codes from huge belly Interactive Data Language (IDL) Astronomy Users Library.



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