Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2018).
Imports: glmnet, stats, Matrix, survival
Packaged: 2018-05-22 11:34:23 UTC; a.rauschenbe

Description: Implements sparse regression with paired covariates (Rauschenberger et al.).
Imports: glmnet, Matrix, survival, CorShrink

Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2019). For the optional shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).

Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2019 <doi:10.1007/s11634-019-00375-6>). For the optional shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).

Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2020 <doi:10.1007/s11634-019-00375-6>). For the optional shrinkage, install ashr (<https://github.com/stephens999/ashr>) and CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).

Title: Partitioned Local Depths for Community Structure in Data
c(person("Katherine", "Moore", email = "kmoore@amherst.edu", role = c("aut"),
person("Kenneth", "Berenhaut", email = "berenhks@wfu.edu", role = c("aut")),
person("Lucy", "D'Agostino McGowan", email = "lucydagostino@gmail.com",
Description: Implementation of the Partitioned Local Depths (PaLD)
approach which provides a measure of local depth and the cohesion of a point
to another which  (together with a universal threshold for distinguishing
strong and weak ties) may be used to reveal local and global structure in
data, based on methods described in Berenhaut, Moore, and Melvin (2022)
<doi:10.1073/pnas.2003634119>. No extraneous inputs, distributional
assumptions, iterative procedures nor optimization criteria are employed.
This package includes functions for computing local depths and cohesion as
well as flexible functions for plotting community networks and displays of
Packaged: 2022-04-12 15:21:15 UTC; lucymcgowan
Author: Katherine Moore [aut] (<https://orcid.org/0000-0001-6943-2416>),
Maintainer: Lucy D'Agostino McGowan <lucydagostino@gmail.com>