Description: Several functions can be used to analyze multiblock multivariable data. If the input is a single matrix, then principal components analysis (PCA) is implemented. If the input is a list of matrices, then multiblock PCA is implemented. If the input is two matrices, for exploratory and objective variables, then partial least squares (PLS) analysis is implemented. If the input is two lists of matrices, for exploratory and objective variables, then multiblock PLS analysis is implemented. Additionally, if an extra outcome variable is specified, then a supervised version of the methods above is implemented. For each method, sparse modeling is also incorporated. Functions for selecting the number of components and regularized parameters are also provided.
Packaged: 2018-03-01 05:41:23 UTC; kawaguchi

Packaged: 2019-06-02 11:19:06 UTC; kawaguchi

Packaged: 2019-09-01 12:47:17 UTC; kawaguchi

Packaged: 2020-02-06 09:51:23 UTC; kawaguchi

Packaged: 2021-06-25 01:06:24 UTC; kawaguchi

Title: Functions and Datasets for "Methods of Statistical Model
Author: Jospeh Hilbe and Andrew Robinson
Depends: R (>= 2.10), MASS, lattice, ggplot2, gridExtra
"Methods of Statistical Model Estimation".

Author: Joseph Hilbe and Andrew Robinson

Description: This package provides functions and datasets from the book "Methods of Statistical Model Estimation".

Description: Functions and datasets from Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.

Title: Building Augmented Data to Run Multi-State Models with 'msm'
Description: A fast and general method for restructuring classical longitudinal data into
augmented ones. The reason for this is to facilitate the modeling of longitudinal data under
a multi-state framework using the 'msm' package.

Suggests: testthat, knitr, rmarkdown, roxygen2, usethis
Packaged: 2021-04-07 13:41:17 UTC; grossetti

Packaged: 2021-04-10 16:39:33 UTC; grossetti

Title: Datasets and Functions used in Multivariate Statistics: Old
Authors@R: c(person("John", "Marden", role = c("aut", "cph"),
person("James", "Balamuta", role = c("cre", "ctb",
Author: John Marden [aut, cph] and James Balamuta [cre, ctb, com]
Description: Contains necessary Multivariate Analysis methods and Datasets used in STAT 571 at the University of Illinois at Urbana-Champaign