pls - Partial Least Squares and Principal Component Regression

Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).

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13.84 score 39 stars 92 dependents 4.4k scripts 36k downloads

baseline - Baseline Correction of Spectra

Collection of baseline correction algorithms, along with a framework and a Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.

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openblas

7.31 score 11 stars 8 dependents 85 scripts 1.1k downloads

plsVarSel - Variable Selection in Partial Least Squares

Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.

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6.41 score 5 stars 5 dependents 68 scripts 679 downloads

multiblock - Multiblock Data Fusion in Statistics and Machine Learning

Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.

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cpp

6.11 score 18 stars 24 scripts 311 downloads

mixlm - Mixed Model ANOVA and Statistics for Education

The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.

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5.79 score 1 stars 4 dependents 86 scripts 828 downloads

CCI - Computational Test for Conditional Independence

Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.

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5.28 score 2 stars 5 scripts 186 downloads

MatrixCorrelation - Matrix Correlation Coefficients

Computation and visualization of matrix correlation coefficients. The main method is the Similarity of Matrices Index, while various related measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2, adjusted RV, Rozeboom's linear correlation and Coxhead's coefficient are included for comparison and flexibility.

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openblascpp

5.01 score 3 stars 3 dependents 38 scripts 355 downloads

HDANOVA - High-Dimensional Analysis of Variance

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.

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openblascpp

4.79 score 1 stars 2 dependents 17 scripts 608 downloads

EMSC - Extended Multiplicative Signal Correction

Background correction of spectral like data. Handles variations in scaling, polynomial baselines, interferents, constituents and replicate variation. Parameters for corrections are stored for further analysis, and spectra are corrected accordingly.

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4.18 score 3 stars 10 scripts 235 downloads

fixedTimeEvents - The Distribution of Distances Between Discrete Events in Fixed Time

Distribution functions and test for over-representation of short distances in the Liland distribution. Simulation functions are included for comparison.

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3.74 score 11 scripts 151 downloads

gemR - General Effect Modelling

Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

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3.18 score 3 scripts 527 downloads

ER - Effect + Residual Modelling

Multivariate modeling of data after deflation of interfering effects. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

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3.00 score 3 scripts 236 downloads

RcmdrPlugin.NMBU - R Commander Plug-in for University Level Applied Statistics

An R Commander "plug-in" extending functionality of linear models and providing an interface to Partial Least Squares Regression and Linear and Quadratic Discriminant analysis. Several statistical summaries are extended, predictions are offered for additional types of analyses, and extra plots, tests and mixed models are available.

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2.70 score 6 scripts 679 downloads