c(person("David", family = "Dueber", role=c("aut", "cre"), email="david.dueber@uky.edu"))
The calculator computes bifactor indices such as explained common variance (ECV), hierarchical Omega (OmegaH), percentage of uncontaminated correlations (PUC), item explained common variance (I-ECV), and more. This package is an R version of the 'Excel' based 'Bifactor Indices Calculator' (Dueber, 2017)  <doi:10.13023/edp.tool.01> with added convenience features for directly utilizing output from several programs that can fit confirmatory factor analysis or item response models.

c(person("David", family = "Dueber", role=c("aut", "cre"), comment = c(ORCID = "0000-0001-6734-3268"), email="david.dueber@uky.edu"))

tidyr, lavaan, mirt, MplusAutomation, mnormt

Statistical Methods and Algorithms for Big Data
c(person("Dolors", "Pelegri-Siso", ,"dolors.pelegri@isglobal.org",
role=c("aut", "cre")),
person("Juan R.", "Gonzalez", ,"juanr.gonzalez@isglobal.org",
role=c("aut")))
Basic Algebra methods using parallel
algorithms to be used in big data problems such as omics data analyses.
The functions will consider as input an HDF5 data file, an object of
class DelayedArray or an R object.
data.table, Rcpp (>= 1.0.6), RcppParallel (>= 5.0.2), RCurl,
rhdf5, utils
Rcpp, RcppEigen, RcppParallel, beachmat, Rhdf5lib, RSpectra,
BH
HDF5Array, DelayedArray, Matrix, BiocStyle, knitr, rmarkdown,
ggplot2, microbenchmark
Dolors Pelegri-Siso [aut, cre],
Juan R. Gonzalez [aut]

c(
person( given = "Dolors",
family = "Pelegri-Siso",
email = "dolors.pelegri@isglobal.org",
role=c("aut", "cre"),
comment = c(ORCID = "0000-0002-5993-3003")),
person( given = "Juan R.",
family = "Gonzalez",
email = "juanr.gonzalez@isglobal.org",
role = c("aut"),
comment = c(ORCID = "0000-0003-3267-2146"))
)
Dolors Pelegri-Siso [aut, cre]
(<https://orcid.org/0000-0002-5993-3003>),
Juan R. Gonzalez [aut] (<https://orcid.org/0000-0003-3267-2146>)

Big Quadratic Inverse Covariance Estimation
Khalid B. Kunji [aut, cre],
Cho-Jui Hsieh [ctb],
Matyas A. Sustik [ctb],
Inderjit S. Dhillon [ctb],
Pradeep Ravikumar [ctb],
Tuo Zhao [ctb],
Xingguo Li [ctb],
Han Liu [ctb],
Kathryn Roeder [ctb],
John Lafferty [ctb],
Larry Wasserman [ctb],
George Karypis [ctb],
Melissa O'Neill [ctb],
Richard Henderson [ctb]
c(person(given = "Khalid B.", family = "Kunji", role = c("aut",
"cre"), email = "kkunji@hbku.edu.qa"), person(given = "Cho-Jui",
family = "Hsieh", role = c("ctb")), person(given = "Matyas A.",
family = "Sustik", role = c("ctb"), email = "sustik@cs.utexas.edu"),
person(given = "Inderjit S.", family = "Dhillon", role = c("ctb")),
person(given = "Pradeep", family = "Ravikumar", role = c("ctb")),
person(given = "Tuo", family = "Zhao", role = c("ctb")),
person(given = "Xingguo", family = "Li", role = c("ctb")),
person(given = "Han", family = "Liu", role = c("ctb")),
person(given = "Kathryn", family = "Roeder", role = c("ctb")),
person(given = "John", family = "Lafferty", role = c("ctb")),
person(given = "Larry", family = "Wasserman", role = c("ctb")),
person(given = "George", family = "Karypis", role = c("ctb")),
person(given = "Melissa", family = "O'Neill", role = c("ctb")),
person(given = "Richard", family = "Henderson", role = c("ctb")))
Use Newton's method, coordinate descent, and METIS clustering
to solve the L1 regularized Gaussian MLE inverse covariance
matrix estimation problem.
The included METIS library is Copyright 1997, Regents of the
University of Minnesota
https://www.r-project.org,
https://bigdata.oden.utexas.edu/software/1035/
http://glaros.dtc.umn.edu/gkhome/views/metis
https://www.pcg-random.org/download.html
https://gcc.gnu.org/projects/gomp/