Time series regression.  The dyn class interfaces ts,
irts(), zoo() and zooreg() time series classes to lm(), glm(),
loess(), quantreg::rq(), MASS::rlm(), MCMCpack::MCMCregress(),
quantreg::rq(), randomForest::randomForest() and other regression
functions allowing those functions to be used with time series
including specifications that may contain lags, diffs and
missing values.
lattice, MASS, MCMCpack, quantreg (>= 3.82), randomForest,
sandwich, tseries

Dynamic Logging for R Inspired by Configuration Driven
Development
c(person(given = "Brandon",
family = "Moretz",
role = c("aut", "cre"),
email = "bmoretz@ionicsolutions.net",
comment = c(ORCID = "0000-0001-8832-5173")
))
A comprehensive and dynamic configuration driven logging package for R. While there
are several excellent logging solutions already in the R ecosystem, I always feel constrained
in some way by each of them. Every project is designed differently to solve it's domain specific problem,
and ultimately the utility of a logging solution is its ability to adapt to this design. This is the
raison d'être for 'dyn.log': to provide a modular design, template mechanics and a configuration-based
integration model, so that the logger can integrate deeply into your design, even though it knows
nothing about it.
devtools, usethis, rmarkdown, markdown, knitr, covr (>=
3.5.1), testthat (>= 3.0.0), lintr (>= 0.28), remotes, pkgdown,
prettydoc, here, fansi, pander, DT
Brandon Moretz [aut, cre] (<https://orcid.org/0000-0001-8832-5173>)

dynBiplotGUI: Full Interactive GUI for Dynamic Biplot in R
A GUI to solve Biplots Dynamic, Biplot classic and HJ-biplot. Try matrices of 2-way and 3-way. Multilanguage.

A GUI to solve Dynamic Biplots, classic Biplot and HJ-biplot. Try matrices of 2-way and 3-way. Multilanguage.

Full Interactive GUI for Dynamic Biplot in R
c(person("Jaime", "Egido", role=c("aut","cre"),
email = "jegido@usal.es"))

A GUI to solve dynamic biplots and classical biplot. Try matrices of 2-way and 3-way. The GUI can be run in multiple languages.