Package: missDeaths
Date: 2015-08-08
Title: 'Correctly Analyse Disease Recurrence with Missing at Risk
Information using Population Mortality'
Version: 1.2
Authors@R: c(
person("Tomaz","Stupnik",role=c("aut","cre"), email="tomaz.stupnik@guest.arnes.si"),
person("Maja","Pohar Perme",role="aut", email="maja.pohar@mf.uni-lj.si"))
Maintainer: Tomaz Stupnik <tomaz.stupnik@guest.arnes.si>
Description: Implements two methods: a nonparametric risk adjustment and a data imputation method that use general population mortality tables to allow a correct analysis of time to disease recurrence.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.1), mitools
LinkingTo: Rcpp
Depends: survival, rms, relsurv, cmprsk
NeedsCompilation: yes
Packaged: 2015-08-08 22:54:55 UTC; tomaz
Author: Tomaz Stupnik [aut, cre],
Maja Pohar Perme [aut]
Repository: CRAN
Date/Publication: 2015-08-09 09:11:39
Package: ROCt
Type: Package
Title: Time-Dependent ROC Curve Estimators and Expected Utility
Functions
Version: 0.9.4
Date: 2016-03-09
Author: Y. Foucher, E. Dantan, P. Tessier, F. Le Borgne, and M. Lorent
Maintainer: Y. Foucher <Yohann.Foucher@univ-nantes.fr>
Description: Contains functions in order to estimate diagnostic and prognostic capacities of continuous markers. More precisely, one function concerns the estimation of time-dependent ROC (ROCt) curve, as proposed by Heagerty et al. (2000) <DOI: 10.1111/j.0006-341X.2000.00337.x>. One function concerns the adaptation of the ROCt theory for studying the capacity of a marker to predict the excess of mortality of a specific population compared to the general population. This last part is based on additive relative survival models and the work of Pohar-Perme et al. (2012) <DOI: 10.1111/j.1541-0420.2011.01640.x>. We also propose two functions for cut-off estimation in medical decision making by maximizing time-dependent expected utility function. Finally, we propose confounder-adjusted estimators of ROC and ROCt curves by using the Inverse Probability Weighting (IPW) approach. For the confounder-adjusted ROC curve (without censoring), we also proposed the implementation of the estimator based on placement values proposed by Pepe and Cai (2004) <DOI: 10.1111/j.0006-341X.2004.00200.x>.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 2.10), splines, date, survival, relsurv, timereg
URL: www.r-project.org, www.divat.fr
Packaged: 2016-03-09 14:22:03 UTC; Yohann
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-03-09 23:12:21
providing 
.