Authors@R: c(person("Xiao", "Yang", email = "vwendy@gmail.com", role = c("cre", "aut")),person("Nilam", "Ram", email = "nur5@psu.edu", role = "aut"),person("Peter", "Molenaar", email = "pxm21@psu.edu", role = "aut"))

Title: Presence-Only for Marked Point Process
person("Guido", "Alberti Moreira", email = "guidoalber@gmail.com",
Description: Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>,
this methodology expands the idea by including Marks in the point process.
Using efficient 'C++' code, the estimation is possible and made faster with
Imports: Rcpp, coda, geoR, parallel, methods, graphics, stats, tools

Description: functions for computing closures of relations

Description: Finds equivalence classes corresponding to a symmetric relation
or undirected graph.  Finds total order consistent with partial order
or directed graph (so-called topological sort).

person("Barbara", "Borges", email = "barbara@rstudio.com",
Description: Enables the creation of object pools, which make it less
computationally expensive to fetch a new object. Currently the
only supported pooled objects are 'DBI' connections.
Collate: 'utils.R' 'scheduler.R' 'pool.R' 'pool-methods.R' 'object.R'
Packaged: 2017-09-22 23:25:33 UTC; barbaraborges

Suggests: testthat, tibble, RSQLite, RMySQL
Packaged: 2017-11-02 23:52:56 UTC; barbaraborges

Packaged: 2017-11-03 22:44:37 UTC; barbaraborges

person("Joe", "Cheng", email = "joe@rstudio.com",
person("Barbara", "Borges", email = "barb.b.ribeiro@gmail.com",

Packaged: 2018-03-09 22:13:12 UTC; barbaraborges

Description: Enables the creation of object pools, which make it
less computationally expensive to fetch a new object. Currently the
Suggests: testthat, tibble, dplyr, dbplyr, RSQLite, RMySQL

Title: Gene-Based Association Tests using the Actual Impurity Reduction
Description: Gene-based association tests using the actual impurity reduction (AIR) variable importance. The function aggregates AIR importance measures from a group of SNPs or probes and outputs a p-value for each gene. The procedures builds upon the method described in <doi:10.1093/Bioinformatics/Bty373> and will be published soon.
Depends: R(>= 3.3.1), EmpiricalBrownsMethod(>= 1.6.0), Hmisc(>= 4.1)