ashr, knitr, parallel, rmarkdown, survival, tinytest

Fits regularization paths for linear regression, GLM, and Cox
regression models using lasso or nonconvex penalties, in particular the
minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD)
penalty, with options for additional L2 penalties (the "elastic net" idea).
Utilities for carrying out cross-validation as well as post-fitting
visualization, summarization, inference, and prediction are also provided.
For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388>
or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.

Patrick Breheny [aut,cre], Sangin Lee [ctb]
Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty.

Network-Based Dimensionality Reduction and Analysis
c(
person("Zsolt T.", "Kosztyan", email="kosztyan.zsolt@gtk.uni-pannon.hu", role = c("aut", "cre")),
person("Marcell T.", "Kurbucz", email="kurbuczmarcell@gtk.uni-pannon.hu", role = c("aut")),
person("Attila I.", "Katona", email="katona.attila@gtk.uni-pannon.hu", role = c("aut"))
)
Non-parametric dimensionality reduction function. Reduction with and without feature selection. Plot functions. Kosztyan et. al. (2022) <doi:10.1016/j.knosys.2022.109180>.
leidenAlg, energy, psych, stats, igraph, Matrix, visNetwork
Zsolt T. Kosztyan [aut, cre],
Marcell T. Kurbucz [aut],
Attila I. Katona [aut]

c(person(given = "Ian D.",
family = "Buller",
role = c("aut", "cre", "cph"),
email = "ian.buller@nih.gov",
comment = c(ORCID = "0000-0001-9477-8582")),
person(given = "NCI",
role = c("cph", "fnd")))
Compute various neighborhood deprivation indices (NDI), including:
(1) based on Messer et al. (2006) <doi:10.1007/s11524-006-9094-x>
and (2) based on Andrews et al. (2020) <doi:10.1080/17445647.2020.1750066>
and Slotman et al. (2022) <doi:10.1016/j.dib.2022.108002>
who uses variables chosen by Roux and Mair (2010)
<doi:10.1111/j.1749-6632.2009.05333.x>. Both are a decomposition
of multiple demographic characteristics from the U.S. Census Bureau
American Community Survey 5-year estimates.
dplyr, MASS, psych, stats, stringr, tidycensus, tidyr
ggplot2, testthat, tigris, R.rsp, sf, spelling
Ian D. Buller [aut, cre, cph] (<https://orcid.org/0000-0001-9477-8582>),
NCI [cph, fnd]