juchiyu / spafac

SPAFAC

The goal of SPAFAC is to …

Installation

You can install the development version of SPAFAC from GitHub with:

# install.packages("devtools")
devtools::install_github("juchiyu/SPAFAC")

Example

This is a basic example which shows you how to solve a common problem:

library(SPAFAC)
## basic example code

spafac's Issues

sDiCA - supplementary projection (fii)

We have a scaled version of which the means give the factor scores and an unscaled version of which their sums give the factor scores.
Do we need both?

CAD

• Create a "garbage" category for "unknown causes"
• Create a short name for the chapters
• drop the "years" in the names of the columns
• look if some age categories could be merged
• also look if some causes of death could also be merged

sDiCA function

sPLSCA function

sMFA function

sMCA help file

sCA help file

sCA function

Specify default for sDisCA, sDiMCA, and sMCA

By default, the sparsification should run with group constraints on the columns for sDisCA, sDiMCA, and sMCA. But, if the users enter disjunctively coded data with no column group specified, the function is still going to run but the function should require them to confirm to proceed.

This should apply to both sDisCA, sDiMCA, and sMCA.

• sDisCA
• sDiMCA
• sMCA

sPLSCA help file

sPLSC function

create the sPLSC function by using the new sGSVD package

sPLSC help file

sMCA function

ADD CITATION

inst/CITATION:

bibentry(
"SMCA",
title = "Sparse Factor Analysis for Categorical Data with the Group-Sparse Generalized Singular Value Decomposition",
author = "Ju-Chi Yu, Julie Le Borgne, Anjali Krishnan, Arnaud Gloaguen, Cheng-Ta Yang, Laura A. Rabin, Hervé Abdi, Vincent Guillemot",
year = 2024,
journal = "Submitted",
volume = NA,
number = NA,
pages = NA,
doi = "NA"
)