Description: A collection of algorithms and functions
for fitting data to a generalized lambda distribution
via moment matching methods, and generalized

Title: Utilities for processing Rd objects and files
Description: Provides utilities for processing Rd objects and files.
Extract argument descriptions and other parts of the help pages

Title: Generalized Beta and Beta Prime Distributions
Description: Density, distribution function, quantile function, and random generation for the generalized Beta and Beta prime distributions. The family of generalized Beta distributions is conjugate for the Bayesian binomial model, and the generalized Beta prime distribution is the posterior distribution of the relative risk in the Bayesian 'two Poisson samples' model when a Gamma prior is assigned to the Poisson rate of the reference group and a Beta prime prior is assigned to the relative risk. References: Laurent (2012) <doi:10.1214/11-BJPS139>, Hamza & Vallois (2016) <doi:10.1016/j.spl.2016.03.014>, Chen & Novick (1984) <doi:10.3102/10769986009002163>.

Title: Gradient Boosted Regression Trees with Errors-in-Variables
Description: This package performs non-parametric regression when
covariates are measured with error. The models are estimated
using gradient boosted regression trees.  Regression is
performed using squared error loss, while binary response
regression can be performed using negative log-likelihood loss.

Description: This package performs non-parametric regression
when covariates are measured with error. The models
are estimated using gradient boosted regression trees.
Regression is performed using squared error loss, while binary
response regression can be performed using negative log-likelihood loss.
Packaged: Mon Aug 14 11:01:07 2006; josephse

Title: Interface with General Bikeshare Feed Specification Files
person("Kaelyn", "Rosenberg", , "kaerosenberg@gmail.com", c("aut")),
person("Simon P.", "Couch", , "simonpatrickcouch@gmail.com", c("aut", "cre")))
Description: Supplies a set of functions to interface with General Bikeshare
Feed Specification .json feeds in R, allowing users to save and accumulate
tidy .rds datasets for specified cities/bikeshare programs.
Imports: dplyr, readr, stringr, jsonlite, devtools, roxygen2, testthat,