person("Eric", "Persson", email = "expersso5@gmail.com", role = c("aut", "cre"))
Provides programmatic access to the GESIS - Leibniz-Institute for
the Social Sciences Data Catalogue/Datenbestandkatalog (DBK), which
maintains a large repository of data sets related to the social sciences.

Provides programmatic access to the GESIS - Leibniz-Institute for
the Social Sciences Data Catalogue/Datenbestandkatalog (DBK), which
maintains a large repository of data sets related to the social sciences.
See <http://www.gesis.org> for more information.

Reproducible Data Retrieval from the GESIS Data Archive
c(
person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre", "cph")))
Reproducible, programmatic retrieval of datasets from the
GESIS Data Archive.  The GESIS Data Archive <https://search.gesis.org>
makes available thousands of invaluable datasets, but researchers using
these datasets are caught in a bind.  The archive's terms and conditions
bar dissemination of downloaded datasets to third parties, but to ensure
that one's work can be reproduced, assessed, and built upon by others, one
must provide access to the raw data one has employed.  The 'gesisdata'
package cuts this knot by providing registered users with programmatic,
reproducible access to GESIS datasets from within 'R'.
magrittr, rio, RSelenium (>= 1.7.1), stringr, dplyr, tools,
utils

Hierarchical GxE Interactions in a Regularized Regression Model
The method focuses on a single environmental exposure and induces
a main-effect-before-interaction hierarchical structure for the joint selection of interaction terms
in a regularized regression model. For details see Zemlianskaia et al. (2021) <arxiv:2103.13510>.
Rcpp (>= 1.0.3), Matrix, bigmemory, methods
glmnet, testthat, knitr, rmarkdown, ggplot2
Rcpp, RcppEigen, RcppThread, BH, bigmemory

Tools for Making and Combining Functions
Provides a suite of function-building tools centered around a
(forward) composition operator, %>>>%, which extends the semantics of the
'magrittr' %>% operator and supports 'tidyverse' quasiquotation. It enables
you to construct composite functions that can be inspected and transformed as
list-like objects. In conjunction with %>>>%, a compact function constructor,
fn(), and a function that performs partial application, partial(), are also
provided. Both support quasiquotation.
magrittr (>= 1.5), dplyr (>= 0.7.5), testthat (>= 2.0.0),
knitr, rmarkdown
'gestalt.R' 'utils.R' 'compose.R' 'constant.R' 'partial.R'
'fn.R'