Estimating Differential Networks under Semiparametric Gaussian
Graphical Models
Provides a modified hierarchical test (Liu (2017) <doi:10.1214/17-AOS1539>) for detecting the structural difference between two Semiparametric Gaussian graphical models. The multiple testing procedure asymptotically controls the false discovery rate (FDR) at a user-specified level. To construct the test statistic, a truncated estimator is used to approximate the transformation functions and two R functions including lassoGGM() and lassoNPN() are provided to compute the lasso estimates of the regression coefficients.

Analysis of Discretely Observed linear
Birth-And-Death(-and-immigration) Markov Chains
Charles Doss, Vladimir Minin, Marc Suchard
Frequentist (EM) and Bayesian (MCMC) Methods for Inference
of Birth-Death-Immigration Markov Chains

Frequentist (EM) and Bayesian  (MCMC) Methods for Inference of  Birth-Death-Immigration Markov Chains

Analysis of Discretely Observed Linear
Birth-and-Death(-and-Immigration) Markov Chains
Provides Frequentist (EM) and Bayesian  (MCMC) Methods for Inference of  Birth-Death-Immigration Markov Chains.

Detect Differences in rhythmic time series. Using linear
least squares and the robust semi-parametric rfit() method. Differences in
harmonic fitting could be detected as well as differences in scale of the
noise distribution.

The Distributed Online Expectation Maximization Algorithms to
Solve Parameters of Poisson Mixture Models
The distributed online expectation maximization algorithms are used to solve parameters of Poisson mixture models. The philosophy of the package is described in Guo, G. (2022) <doi:10.1080/02664763.2022.2053949>.

c(
person(given = "Raymond",
family = "Balise",
role = c("aut", "cre"),
email = "balise@miami.edu",
comment = c(ORCID = "0000-0002-9856-5901")),
person(given = "Layla",
family = "Bouzoubaa",
role = c("aut"),
email = "lab218@miami.edu",
comment = c(ORCID = "https://orcid.org/0000-0002-6616-0950")),
person(given = "Gabriel",
family = "Odom",
role = c("aut"),
email = "gabriel.odom@fiu.edu",
comment = c(ORCID = "0000-0003-1341-4555")))
Provides information on drug names (brand,
generic and street) for drugs tracked by the DEA. There are functions that
will search synonyms and return the drug names and types. The vignettes
have extensive information on the work done to create the data for the package.
dm, knitr, rmarkdown, conflicted, purrr, readr, readxl,
rvest, sqldf, stringr, tidyr, tibble, testthat, usethis, xml2