Tracks elapsed clock time using a 'hms()' scalar
(inherits from 'difftime()' with seconds as the unit).
Suggests: hms (>= 0.5.0), covr, testthat

Tracks elapsed clock time using a `hms::hms()` scalar,
which if running has an attribute named start
that specifies the system time when the timer was started.
The elapsed time is the value of the scalar
plus the difference between the current system time
and the system time when the timer was started.

Description: Tracks elapsed clock time using a `hms::hms()` scalar, which
if running has an attribute named start that specifies the system time
when the timer was started.  The elapsed time is the value of the
scalar plus the difference between the current system time and the

person("Nadine", "Hussein", , "nadine@poissonconsulting.ca", role = "ctb",

Title: Half-Normal Plots with Simulation Envelopes
Suggests: lme4, gamlss, gamlss.dist, pscl, nnet, aods3, VGAM, glmmADMB,
Description: Generates (half-)normal plots with simulation envelopes using different diagnostics from a range of different fitted models. A few example datasets are included.

BundleDescription: Various functions for higher order likelihood-based
Depends: R (>= 2.0.1), statmod, survival
Maintainer: Alessandra R. Brazzale <alessandra.brazzale@isib.cnr.it>
Packaged: Fri Jun 24 10:09:07 2005; brazzale

Depends: R (>= 2.2.0), statmod, survival
Packaged: Wed Apr 19 18:42:23 2006; brazzale

Packaged: Sat Dec 16 09:15:04 2006; brazzale

Packaged: Thu Mar  6 15:00:05 2008; brazzale

Title: Higher Order Likelihood Inference
Author: R port by Alessandra R. Brazzale <alessandra.brazzale@unipd.it>, following
earlier work by Douglas Bates. The function tem is based on work by Anthony Davison <Anthony.Davison@epfl.ch>
Imports: graphics, statmod, stats, survival, utils
Description: Performs likelihood-based inference for a wide range of regression models. Provides higher-order approximations for inference based on extensions  of saddlepoint type arguments as discussed in the book Applied Asymptotics: Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid (2007).