email = "mxrodriguez@uvigo.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1329-9238")),
Description: Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) <arXiv:1806.00473>. NOTE: We have created a new package, 'ROCnReg', with more functionalities. It also implements all the methods included in 'AROC'. We, therefore, recommend using 'ROCnReg' ('AROC' will no longer be maintained).
Packaged: 2022-02-18 09:30:32 UTC; mrodriguez
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es>

Packaged: 2018-06-06 13:15:24 UTC; mrodriguez

Title: Retrieving, Managing and Analysing Air Quality and Weather Data
for Lombardy (Italy) using ARPA Lombardia Open Database
Description: Contains functions for retrieving, managing and analysing air quality and weather data from Regione Lombardia open database (<https://www.dati.lombardia.it/>).
Data are collected by ARPA Lombardia (Lombardia Environmental Protection Agency), Italy, through its ground monitoring network.
See the webpage <https://www.arpalombardia.it/Pages/ARPA_Home_Page.aspx> for further information on ARPA Lombardia's activities and history.
Data quality (e.g. missing values, exported values, graphical mapping) has been checked involving members of the ARPA Lombardia's office for air quality control.
The package makes available observations since 2011 and are updated with daily frequency by the regional agency.

The package makes available observations since 1989 (for weather) and 1996 (for air quality) and are updated with daily frequency by the regional agency.

Package: ARPobservation
Title: Tools for simulating different methods of observing behavior
based on alternating renewal processes
Description: ARPobservation provides a set of tools for simulating data based
on direct observation of behavior. It works by first simulating a behavior
stream based on an alternating renewal process, given specified
distributions of event durations and interim times. Different procedures for
recording data can then be applied to the simulated behavior stream.
Functions are provided for the following recording methods: continuous
duration recording, event counting, momentary time sampling, partial
interval recording, and whole interval recording.
Version: 1.0
Maintainer: James E. Pustejovsky <jepusto@gmail.com>
Author: James E. Pustejovsky <jepusto@gmail.com>
License: GPL-3
VignetteBuilder: knitr
Suggests: plyr, ggplot2, knitr
Packaged: 2014-05-29 17:29:03 UTC; jep2963
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-30 00:52:39