Authors@R: c(person(given = "Philip", family = "Leifeld", email = "philip.leifeld@glasgow.ac.uk", role = c("aut", "cre")), person(given = c("Skyler", "J."), family = "Cranmer", email = "cranmer.12@osu.edu", role = "ctb"), person(given = c("Bruce", "A."), family = "Desmarais", email = "bdesmarais@psu.edu", role = "ctb"))

Imports: stats4, utils, methods, graphics, network (>= 1.13.0), sna (>=

Title: Estimates univariate function via Bayesian trend filtering
Maintainer: Edward A. Roualdes <edward.roualdes@uky.edu>
Description: Trend filtering uses the generalized
lasso framework to fit an adaptive polynomial of degree k to
estimate the function f_0 at each input x_i in the model: y_i =
f_0(x_i) + epsilon_i, for i = 1, ..., n, and epsilon_i
is sub-Gaussian with E(epsilon_i) = 0.  Bayesian trend filtering adapts
the genlasso framework to a fully Bayesian hierarchical model, estimating
the penalty parameter lambda within a tractable Gibbs sampler.

Title: Estimates Univariate Function via Bayesian Trend Filtering
Maintainer: Edward A. Roualdes <eroualdes@csuchico.edu>
Imports: Rcpp (>= 0.12.0), Matrix, coda,

Title: Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds
Description: Creates bubbles within 'shiny' and 'rmarkdown' backgrounds using the 'bubbly-bg' 'JavaScript' library.
Author: Mohamed El Fodil Ihaddaden [aut, cre],

Packaged: 2020-07-29 17:31:55 UTC; Administrateur

Title: Bucky's Archive for Data Analysis in the Social Sciences
Authors@R: c(person("Alexander", "Tahk", role = c("aut", "cre"), email = "tahk@alum.mit.edu"))
Depends: R (>= 3.1.0), methods, sandwich, lmtest
Description: Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors. The package was originally developed, in part, to assist porting of replication code from 'Stata' and attempts to replicate default options from 'Stata' where possible.