Showing 10 of total 10 results (show query)
khliland
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).
Maintained by Kristian Hovde Liland. Last updated 2 months ago.
37 stars 13.60 score 3.2k scripts 85 dependents
gavinsimpson
analogue:Analogue and Weighted Averaging Methods for Palaeoecology
Fits Modern Analogue Technique and Weighted Averaging transfer function models for prediction of environmental data from species data, and related methods used in palaeoecology.
Maintained by Gavin L. Simpson. Last updated 7 months ago.
14 stars 8.87 score 185 scripts 4 dependents
rfastofficial
Rfast2:A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions. References: Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>.
Maintained by Manos Papadakis. Last updated 1 years ago.
38 stars 8.09 score 75 scripts 26 dependentskhliland
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.
Maintained by Kristian Hovde Liland. Last updated 2 days ago.
16 stars 6.56 score 19 scriptskhliland
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.
Maintained by Kristian Hovde Liland. Last updated 21 days ago.
4.35 score 8 scripts 1 dependents
fbertran
plsdof:Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.
Maintained by Frederic Bertrand. Last updated 2 years ago.
3 stars 3.65 score 30 scripts
fabianenc
r6qualitytools:R6-Based Statistical Methods for Quality Science
A comprehensive suite of statistical tools for Quality Management, designed around the Define, Measure, Analyze, Improve, and Control (DMAIC) cycle used in Six Sigma methodology. Based on the discontinued CRAN package 'qualitytools', this package refactors its original design by incorporating 'R6' object-oriented programming for increased flexibility and performance. It replaces traditional graphics with modern, interactive visualizations using 'ggplot2' and 'plotly'. Built on 'tidyverse' principles, it simplifies data manipulation and visualization, offering an intuitive approach to quality science.
Maintained by Fabian Encarnacion. Last updated 6 months ago.
2 stars 3.48 score 3 scripts
youyifong
copcor:Correlates of Protection and Correlates of Risk Functions
Correlates of protection (CoP) and correlates of risk (CoR) study the immune biomarkers associated with an infectious disease outcome, e.g. COVID or HIV-1 infection. This package contains shared functions for analyzing CoP and CoR, including bootstrapping procedures, competing risk estimation, and bootstrapping marginalized risks.
Maintained by Youyi Fong. Last updated 8 months ago.
2.90 score 16 scripts
cran
gamlss.foreach:Parallel Computations for Distributional Regression
Computational intensive calculations for Generalized Additive Models for Location Scale and Shape, <doi:10.1111/j.1467-9876.2005.00510.x>.
Maintained by Mikis Stasinopoulos. Last updated 3 years ago.
2.48 score 1 dependents
tloux
PropScrRand:Propensity Score Methods for Assigning Treatment in Randomized Trials
Contains functions to run propensity-biased allocation to balance covariate distributions in sequential trials and propensity-constrained randomization to balance covariate distributions in trials with known baseline covariates at time of randomization. Currently only supports trials comparing two groups.
Maintained by Travis Loux. Last updated 12 months ago.
2.00 score 5 scripts