Suggests: shiny, ggplot2, testthat (>= 2.1.0), sass, bslib
Packaged: 2021-11-04 15:35:47 UTC; cpsievert

Title: Identification of Functionally Relevant Sub-Graphs
Description: Provides a general framework for the identification of nodes that
are functionally related to a set of seeds in graph structured data.
In addition to being optimized for use with generic graphs,
We also provides support to analyze protein-protein
interactions networks from online repositories. Our methods are similar to
those described in Nibbe et.al (2010). <doi:10.1371/journal.pcbi.1000639>.
Imports: curl (>= 4.2), rlang, stats, magrittr, withr, readr, dplyr,
stringr, tidyr, tibble, igraph, Matrix, ensembldb, foreach,
Suggests: tidygraph, ggraph, testthat (>= 2.0.0), knitr, rmarkdown,
Author: Davis Weaver [aut, cre] (0000-0003-3086-497X)

Title: Analysis of Graph-Structured Data with a Focus on
Description: Provides a general framework for the identification of nodes that are functionally related to a set of seeds in graph structured data. In addition to being optimized for use with generic graphs, we also provides support to analyze protein-protein interactions networks from online repositories. For more details on core method, refer to Nibbe et al. (2010) <doi:10.1371/journal.pcbi.1000639>.
Imports: rlang, stats, magrittr, withr, readr, dplyr, stringr, tidyr,
tibble, igraph (>= 1.2.0), Matrix, ensembldb, foreach,
Suggests: tidygraph, ggraph, testthat (>= 2.0.0), knitr, rmarkdown

Title: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
Authors@R: c(person("Denis", "Agniel", role = c("aut", "cre"),
Description: Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022).
"Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.
Imports: dplyr, gbm, glmnet, glue, parallel, pbapply, purrr, ranger,
RCAL, rlang, SIS, stats, SuperLearner, tibble, tidyr
Packaged: 2022-10-21 11:43:26 UTC; denisagniel