Interface to the 'Libraries.io' API (<https://libraries.io/api>).
'Libraries.io' indexes data from 36 different package managers for
programming languages.
jsonlite (>= 1.5), crul (>= 0.5.0), fauxpas, data.table,
tibble
http, API, web-services, package, software,
metadata

jsonlite, crul, fauxpas, data.table, tibble

Bahadir Yuzbasi, Mohammad Arashi and Fikri Akdeniz
Bridge Regression estimation with linear restrictions defined in Yuzbasi et al. (2019) <arXiv:1910.03660>. Special cases of this approach fit the restricted LASSO, restricted RIDGE and restricted Elastic Net estimators.

Bridge Regression estimation with linear restrictions defined in Yuzbasi et al. (2019) <arXiv:910.03660>. Special cases of this approach fit the restricted LASSO, restricted RIDGE and restricted Elastic Net estimators.

c(person("Shimeng", "Huang", role = c("aut", "cre"), email = "dora.huang.sunshine@gmail.com"),
person("Keith", "Winstein", role = "aut", email = "keithw@cs.stanford.edu"))
Provides a fast calculation of the Blyth-Still-Casella confidence interval. The implementation follows the 'StatXact' 9 manual (Cytel 2010) and "Refining Binomial Confidence Intervals" by George Casella (1986) <doi:10.2307/3314658>.
Shimeng Huang [aut, cre],
Keith Winstein [aut]

Implementation of the RPC-JSON API for Bitcoin and utility functions for address creation and content analysis of the blockchain.

Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error
for Non-Negative, Zero-Inflated Data
c(
person("Ian", "Waudby-Smith", email = "iwaudbysmith@gmail.com", role = c("aut", "cre")),
person("Pengfei", "Li", email = "pengfei.li@uwaterloo.ca", role = "aut")
)
Tu & Zhou (1999) <doi:10.1002/(SICI)1097-0258(19991030)18:20%3C2749::AID-SIM195%3E3.0.CO;2-C> showed that comparing the means of populations whose data-generating distributions are non-negative with excess zero observations is a problem of great importance in the analysis of medical cost data. In the same study, Tu & Zhou discuss that it can be difficult to control type-I error rates of general-purpose statistical tests for comparing the means of these particular data sets. This package allows users to perform a modified bootstrap-based t-test that aims to better control type-I error rates in these situations.
Ian Waudby-Smith [aut, cre],
Pengfei Li [aut]