R (>= 3.0.0), lattice, stats, methods, utils, MASS

Tools for Management of Survey Data and for the Presentation of
Analysis Results

Management of Survey Data and Presentation of Analysis Results
An infrastructure for the management of survey data including
value labels, definable missing values, recoding of variables,
production of code books, and import of (subsets of) 'SPSS' and
'Stata' files is provided. Further, the package allows to produce
tables and data frames of arbitrary descriptive statistics and
(almost) publication-ready tables of regression model
estimates, which can be exported to 'LaTeX' and HTML.
R (>= 3.3.0), lattice, stats, methods, utils, MASS

AER, car, eha, lme4, ordinal, simex, tibble, haven

One of the aims of this package is to make life easier for
useRs who deal with survey data sets. It provides an
infrastructure for the management of survey data including
value labels, definable missing values, recoding of variables,
production of code books, and import of (subsets of) SPSS and
Stata files. Further, it provides functionality to produce
tables and data frames of arbitrary descriptive statistics and
(almost) publication-ready tables of regression model
estimates, which can be exported to LaTeX and HTML.

Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins,
Jason W. Morgan, Achim Zeileis, Mael Astruc-Le Souder)

Efficient implementations of network science tools
to facilitate research into human (semantic) memory. In its current version, the package
contains several methods to infer networks from verbal fluency data, various network
growth models, diverse (switcher-) random walk processes, and tools to analyze and
visualize networks. To deliver maximum performance the majority of the code is written
in C++. For an application see: Wulff, D. U., Hills, T., & Mata, R. (2018)
<doi:10.31234/osf.io/s73dp>.
person(c("Dirk","U."), "Wulff", role = c("aut","cre"),
email = "dirk.wulff@gmail.com")

In-Memory Caching for Repeated Computations
A simple in-memory, LRU cache that can be wrapped
around any function to memoize it. The cache can be keyed on a hash of the
input data (using 'digest') or on pointer equivalence.