Title: 'RStudio' Addins for Show Outline of a R Markdown/'LaTeX'
Description: 'RStudio' allows to show and navigate for the outline of a
R Markdown file, but not for R Markdown projects with multiple
files. For this reason, I have developed several 'RStudio' addins capable
of show project outline. Each addin is specialized in showing projects
of different types: R Markdown project, 'bookdown' package project
and 'LaTeX' project. There is a configuration file that allows you
Imports: shiny (>= 0.13), miniUI (>= 0.1), rstudioapi (>= 0.5),
shinyFiles (>= 0.7.2), stringr, dplyr (>= 0.7.7), tibble, yaml,
Maintainer: Pedro L. Luque-Calvo <calvo@us.es>

Title: Discover and Install Useful RStudio Addins
Authors@R: person("Dean", "Attali", email = "daattali@gmail.com",
Description: Browse through a continuously updated list of existing RStudio
addins and install/uninstall their corresponding packages.
Imports: curl, devtools, DT (>= 0.1), miniUI (>= 0.1), shiny (>=

Imports: curl, remotes, DT (>= 0.1), miniUI (>= 0.1), shiny (>=

Author: Dean Attali [aut, cre] (<https://orcid.org/0000-0002-5645-3493>)

Title: Bindings for Generalized Additive Models (GAM)
Description: Fit Generalized Additive Models (GAM) using 'mgcv' with 'parsnip'/'tidymodels'
via 'additive' <doi:10.5281/zenodo.4882764>. 'tidymodels' is a collection of
packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>).
The technical details of 'mgcv' are described in Wood (2017)
Imports: dplyr, purrr, rlang, stats, tibble, utils
Suggests: covr, devtools, knitr, recipes, rmarkdown, roxygen2,
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>)

via 'additive' <doi:10.5281/zenodo.5091179>. 'tidymodels' is a collection of

via 'additive' <doi:10.5281/zenodo.5539481>. 'tidymodels' is a collection of

via 'additive' <doi:10.5281/zenodo.5884867>. 'tidymodels' is a collection of

via 'additive' <doi:10.5281/zenodo.6654298>. 'tidymodels' is a collection of

Title: Additive Data Envelopment Analysis Models
Maintainer: Andreas Diomedes Soteriades <andreassot10@yahoo.com>
Description: Provides functions for calculating efficiency with two types of additive Data Envelopment Analysis models: (i) Generalized Efficiency Measures: unweighted additive model (Cooper et al., 2007 <doi:10.1007/978-0-387-45283-8>), Range Adjusted Measure (Cooper et al., 1999, <doi:10.1023/A:1007701304281>), Bounded Adjusted Measure (Cooper et al., 2011 <doi:10.1007/s11123-010-0190-2>), Measure of Inefficiency Proportions (Cooper et al., 1999 <doi:10.1023/A:1007701304281>), and the Lovell-Pastor Measure (Lovell and Pastor, 1995 <doi:10.1016/0167-6377(95)00044-5>); and (ii) the Slacks-Based Measure (Tone, 2001 <doi:10.1016/S0377-2217(99)00407-5>). The functions provide several options: (i) constant and variable returns to scale; (ii) fixed (non-controllable) inputs and/or outputs; (iii) bounding the slacks so that unrealistically large slack values are avoided; and (iv) calculating the efficiency of specific Decision-Making Units (DMUs), rather than of the whole sample. Package additiveDEA also provides a function for reducing computation time when datasets are large.