Packaged: Wed Sep  5 10:28:06 2007; arthur

Packaged: Wed Mar 26 18:14:06 2008; arthur

Packaged: Fri Jan 30 18:38:58 2009; arthur

Package: changeLOS
Version: 2.0.9-2
Date: 2008-10-16
Title: Change in LOS
Author: Matthias Wangler <mw@imbi.uni-freiburg.de>, Jan Beyersmann
<jan@fdm.uni-freiburg.de>
Maintainer: Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de>
Depends: R (>= 1.8.1), survival
Description: Change in length of hospital stay (LOS) is frequently used
to assess the impact and the costs of hospital-acquired
complications. In order to compute the attributable change in
LOS, it is crucial to account for the timing of events: A
complication can only have an effect on LOS, once it has
occured. These temporal dynamics can be adequately handled by
multistate models; however, there is few software for such
models available. We introduce an R-package "changeLOS" for
computing change in LOS based on methods described in Schulgen
and Schumacher (1996). We will illustrate the program on data
from a prospective cohort study on hospital-acquired
infections. Main features of the R-package "changeLOS" are
R-methods to: (1) describe the multi-state model. (2) compute
the Aalen-Johansen estimator for the matrix of transition
probabilities P(u-, u) for all observed transition times u.(3)
compute the Aalen-Johansen estimator for the matrix of
transition probabilities P(s,t); the estimator is a finite
matrix product of matrices P(u-,u) for every observed event
time in the interval(s,t]. (4) visualize the temporal dynamics
of the data, illustrated by transition probabilities. (5)
compute and visualize change in LOS. (6) compute bootstrap
variances for change in LOS.
License: GPL (>= 2)
Packaged: Thu Mar 26 11:25:42 2009; arthur
Repository: CRAN
Date/Publication: 2009-03-26 11:29:35

Packaged: Thu Oct 16 14:09:17 2008; arthur

Description: The package is DEPRECATED. All the functionalities offered
by changeLOS can now be found in the etm package.

Title: Change Metrics for Species Geographic Ranges
Description: Facilitates workflows to reproducibly transform estimates of species’ distributions into metrics relevant for conservation. For example, combining predictions from species distribution models with other maps of environmental data to characterize the proportion of a species’ range that is under protection, calculating metrics used under the IUCN Criteria A and B guidelines (Area of Occupancy and Extent of Occurrence), and calculating more general metrics such as taxonomic and phylogenetic diversity, as well as endemism. Also facilitates temporal comparisons among biodiversity metrics to inform efforts towards complementarity and consideration of future scenarios in conservation decisions. 'changeRangeR' also provides tools to determine the effects of modeling decisions through sensitivity tests.
Imports: phylobase, raster, dplyr, rangeModelMetadata, rgeos, sf, sp
Suggests: ape, rgdal, tidyverse, rmarkdown, testthat, tinytex, knitr,
Maintainer: Mary E. Blair <mblair1@amnh.org>