Packaged: 2018-02-27 13:56:52 UTC; geantvert

Title: A Project Infrastructure for Researchers
Description: Provides a project infrastructure with a focus on
manuscript creation. Creates a project folder with a single command,
containing subdirectories for specific components, templates for

Suggests: here (>= 0.1), tidyverse (>= 1.2.1)

rstudioapi (>= 0.7), sessioninfo (>= 1.1.1), stringr (>=

Suggests: forcats, here (>= 0.1), testthat (>= 2.1.0), tidyverse (>=

Suggests: forcats, here (>= 0.1), testthat (>= 2.1.0)

Suggests: forcats, here (>= 0.1), testthat (>= 2.3.2)

person("Ben", "Greenawald", email = "bgreenawald@gmail.com", role = c("aut", "cre", "cph")),
person("Yael", "Grushka-Cockayne", role = c("aut", "cph"))
Description: Calculates the critical path for a series of tasks,
creates Gantt charts and generates network diagrams in order to
provide similar functionality to the basic tools offered by 'MS Project'.

Title: Task Tracking and Project Management with GitHub
Description: Provides programmatic access to 'GitHub' API with a
focus on project management.  Key functionality includes
setting up issues and milestones from R objects or 'YAML' configurations,
querying outstanding or completed tasks, and generating progress updates
in tables, charts, and RMarkdown reports. Useful for those using 'GitHub' in personal,
professional, or academic settings with an emphasis on streamlining
Suggests: clipr, curl, dplyr, ggplot2, knitr, purrr, reprex, rmarkdown,
testthat, tidyr, yaml, htmltools, httr, covr

Title: Projection Predictive Feature Selection
Performs projection predictive feature selection for generalized linear models
The package is compatible with 'rstanarm' package, but other reference models
can also be used. See the package vignette for more information and examples.
Imports: rstan, rstanarm (>= 2.17.2), loo, ggplot2, Rcpp, utils
Suggests: testthat, knitr, rmarkdown, glmnet, bayesplot

Imports: rstan, rstanarm (>= 2.17.4), loo (>= 2.0.0), ggplot2, Rcpp,
Suggests: testthat, knitr, rmarkdown, glmnet, bayesplot (>= 1.5.0)