Implements computationally-efficient construction of
confidence intervals from permutation or randomization tests
for simple differences in means,
based on Nguyen (2009) <doi:10.15760/etd.7798>.

Covariates, Interaction, and Selection for DGLM
c(person("Ann Stapleton", role = "aut",
email = "stapletona@uncw.edu"),
person("Yishi Wang", role = c("aut","cre"),email = "wangy@uncw.edu"),
person("Kaitlyn Hohmeier", role = "aut"),
person("Jordan Tanley", role = "aut"))
An implementation of double generalized linear model (DGLM) building with variable selection procedures and handling of interaction terms and other complex situations. We also provide a method of handling convergence issues within the dglm() function. The package offers a simulation function for generating simulated data for testing purposes and utilizes the forward stepwise variable selection procedure in model-building. It also provides a new custom bootstrap function for mean and standard deviation estimation and functions for building crossplots and squareplots from a data set.
Ann Stapleton [aut],
Yishi Wang [aut, cre],
Kaitlyn Hohmeier [aut],
Jordan Tanley [aut]

Common and Individual Structure Explained for Multiple Graphs
person("Lu", "Wang", email = "wangronglu22@gmail.com",
role = c("aut","cre"))
Specific dimension reduction methods for replicated graphs
(multiple undirected graphs repeatedly measured on a common set of
nodes). The package contains efficient procedures for estimating
a shared baseline propensity matrix and graph-specific low rank
matrices. The algorithm uses block coordinate descent algorithm to
solve the model, which alternatively performs L2-penalized logistic
regression and multiple partial eigenvalue decompositions, as described
in the paper Wang et al. (2017) <arXiv:1707.06360>.

CITAN is a library of functions useful in - but not
limited to - quantitative research in the field of
scientometrics.
'CITAN-package.R' 'distrib_hirsch.R' 'distrib_p2.R'
'distrib_sstat.R' 'impact_functions.R' 'impact_visualization.R'
'p2.confint.h.R' 'p2.confint.rho.approx.R' 'p2.confint.rho.R'
'p2.ftest.R' 'p2.goftest.R' 'p2.htest.R' 'p2.zsestimate.R'
'rho.R'