person("Jakub", "Nowosad", role = c("ctb"), email="nowosad.jakub@gmail.com", comment = c(ORCID = "0000-0002-1057-3721"))
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>),

Title: Download Data from the Philadelphia District Attorney's Office
Description: Provides a series of helper functions to download and
clean the data that is publicly available on the Philadelphia District
(<https://data.philadao.com/download.html>). This package is not an
official product of the Philadelphia District Attorney's Office - it is
merely a way to handle their already public and freely available data.

Package: phitest
Title: Nonparametric goodness-of-fit methods based on phi-divergences
Version: 1.0-0
Author: Leah R. Jager <jager@usna.edu>
Description: This package perform a generalized goodness-of-fit test
based on phi-divergences.  This test works by considering the
maximum 'distance' between the hypothesized distribution
function and the empirical distribution function, where the
measure of 'distance' is based on a phi-divergence.  This
generalized family of tests is indexed by a real-valued
parameter, s, wich can take values in [-1,2].  Special cases of
this family include the Berk-Jones statistic (s=0), the
supremum form of the Anderson-Darling statistic (s=2), and the
statistic of Jaescke and Eicker (s=-1).  See the references for
the phi.test() function for references regarding these special
cases.  In addition to performing a statistical test, this
package will also invert the test statistic to form and plot
confidence bands for the true distribution function for sample
sizes up to 10,000.
Maintainer: Leah R. Jager <jager@usna.edu>
Depends: R (>= 2.7.0)
License: GPL
Packaged: Tue Aug 10 13:14:10 2010; jager
Repository: CRAN
Date/Publication: 2010-08-10 19:01:23

Description: Functions to extract and handle commonly occurring principal phrases
Author: Ellie Small [aut, cre] (<https://orcid.org/0000-0003-1313-115X>)

Title: Proportional Hazards with Mixed Model (PHMM)
Description: Fits proportional hazards model incorporating random
effects using an EM agorithm using Markov Chain Monte Carlo at
Packaged: Mon Mar 16 10:09:32 2009; mdonohue