Title: Common and Individual Structure Explained for Multiple Graphs
Authors@R: person("Lu", "Wang", email = "wangronglu22@gmail.com",
Description: 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>.
Imports: far, gdata, glmnet (>= 2.0-13), MASS, Matrix (>= 1.2-12),

Description: CITAN is a library of functions useful in - but not
limited to - quantitative research in the field of

scientometrics. It also contains various methods for dealing

Depends: R (>= 2.10.0), ADGofTest, DBI, RSQLite
scientometrics. It contains various methods for pre-processing
bibliometric data retrieved e.g. from Elsevier's SciVerse
Scopus and calculating impact of individuals. Also, many
functions dealing with Pareto-Type II (GPD) and Discretized
Pareto-Type II statistical models are included (e.g.
Zhang-Stephens and MLE estimators, goodness-of-fit and
two-sample tests, confidence intervals for the theoretical
Hirsch index etc.). They may be used to describe and analyze
many phenomena encountered in the social sciences.

Depends: R (>= 2.10.0), DBI, RSQLite, RGtk2, ADGofTest
Author@R: c(person("Marek", "Gagolewski", email =
scientometrics. It contains various tools for preprocessing

Depends: R (>= 2.10.0), DBI, RSQLite, RGtk2, hash, ADGofTest

bibliographic data retrieved e.g. from Elsevier's SciVerse
Scopus and calculating bibliometric impact of individuals.
Also, many functions dealing with Pareto-Type II (GPD) and
Discretized Pareto-Type II statistical models are included
(e.g. Zhang-Stephens and MLE estimators, goodness-of-fit and

person("Marek", "Gagolewski", role = c("aut", "cre"),
research in scientometrics and bibliometrics. Provides
various tools for preprocessing bibliographic
data retrieved e.g. from Elsevier's SciVerse Scopus,
calculating bibliometric impact of individuals
or modeling many phenomena encountered in the social sciences.