Package: modiscloud
Type: Package
Title: R tools for processing Level 2 Cloud Mask products from MODIS
Version: 0.14
Date: 2013-02-08
Author: Nicholas J. Matzke, Dept. of Integrative Biology, U.C. Berkeley
Maintainer: Nicholas J. Matzke <matzke@berkeley.edu>
Depends: date, sp, sfsmisc, raster, rgdal
Description: Package for processing downloaded MODIS Cloud Product HDF
files and derived files. Specifically, MOD35_L2 cloud product
files, and the associated MOD03 geolocation files (for
MODIS-TERRA); and MYD35_L2 cloud product files, and the
associated MYD03 geolocation files (for MODIS-AQUA). The
package will be most effective if the user installs MRTSwath
(MODIS Reprojection Tool for swath products;
https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath),
and adds the directory with the MRTSwath executable to the
default R PATH by editing ~/.Rprofile.
URL: http://phylo.wikidot.com/modiscloud
License: GPL (>= 2)
LazyLoad: yes
ByteCompile: true
Packaged: 2013-02-08 21:56:23 UTC; nickm
Repository: CRAN
Date/Publication: 2013-02-09 07:43:26
Package: kerdiest
Type: Package
Title: Nonparametric kernel estimation of the distribution function.
Bandwidth selection and estimation of related functions.
Version: 1.2
Date: 2012-08-11
Author: Alejandro Quintela del Rio and Graciela Estevez Perez
Maintainer: Alejandro Quintela del Rio <aquintela@udc.es>
Description: Nonparametric kernel distribution function estimation is
performed. Three automatic bandwidth selection methods for
nonparametric kernel distribution function estimation are
implemented: the plug-in of Altman and Leger, the plug-in of
Polansky and Baker, and the modified cross-validation of
Bowman, Hall and Prvan. The exceedance function, the mean
return period and the return level are also computed.
License: GPL (>= 2)
LazyLoad: yes
Depends: date, chron, evir
Repository: CRAN
Date/Publication: 2012-08-13 07:57:06
Package: Interpol.T
Type: Package
Title: Hourly interpolation of multiple temperature daily series
Version: 2.1.1
Date: 2012-12-20
Author: Emanuele Eccel & Emanuele Cordano
Maintainer: Emanuele Eccel <emanuele.eccel@fmach.it>
Description: Hourly interpolation of daily minimum and maximum temperature
series. Carries out interpolation on multiple series ad once. Requires some
hourly series for calibration (alternatively can use default calibration
table).
Depends: R (>= 2.10), date, chron
License: GPL (>= 2)
Collate: 'F_bias.R' 'F_daily_mean.R' 'F_date_time.R' 'F_Mo.Th.Ra.R'
'F_par_calibration.R' 'F_plot_meas_sim.R'
'F_shape_calibration.R' 'F_Th_int_series.R' 'F_Th_interp.R'
'InterpolT-package.R'
Packaged: 2013-12-03 12:44:59 UTC; ecor
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-03 14:31:51
Package: RcmdrPlugin.survival
Type: Package
Title: R Commander Plug-in for the 'survival' Package
Version: 1.1-0
Date: 2016-04-06
Author: John Fox
Maintainer: John Fox <jfox@mcmaster.ca>
Depends: R (>= 2.10), survival, date, stats
Imports: Rcmdr (>= 2.2-1)
Description: An R Commander plug-in for the survival
package, with dialogs for Cox models, parametric survival regression models,
estimation of survival curves, and testing for differences in survival
curves, along with data-management facilities and a variety of tests,
diagnostics and graphs.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
RcmdrModels: coxph, survreg, coxph.penal
Repository: CRAN
Repository/R-Forge/Project: rcmdrsurvplugin
Repository/R-Forge/Revision: 88
Repository/R-Forge/DateTimeStamp: 2016-04-06 14:27:55
Date/Publication: 2016-04-06 18:11:48
NeedsCompilation: no
Packaged: 2016-04-06 15:05:20 UTC; rforge
Package: RMAWGEN
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>
License: GPL (>= 2)
Title: Multi-site Auto-regressive Weather GENerator
Type: Package
Author: Emanuele Cordano, Emanuele Eccel
Description: S3 and S4 functions are implemented for spatial multi-site
stochastic generation of daily time series of temperature and
precipitation. These tools make use of Vector AutoRegressive models (VARs).
The weather generator model is then saved as an object and is calibrated by
daily instrumental "Gaussianized" time series through the 'vars' package
tools. Once obtained this model, it can it can be used for weather
generations and be adapted to work with several climatic monthly time
series.
Version: 1.3.0
Repository: CRAN
Date/Publication: 2014-12-20 11:48:53
Packaged: 2014-12-20 10:31:33 UTC; ecor
Date: 2014-12-18
Depends: R (>= 2.10), chron, date, vars, methods
Suggests: RgoogleMaps
URL: https://github.com/ecor/RMAWGEN,
https://docs.google.com/file/d/0B66otCUk3Bv6V3RPbm1mUG4zVHc/edit,
http://presentations.copernicus.org/EGU2012-14026_presentation.pdf,
http://presentations.copernicus.org/EGU2012-5404_presentation.pdf
NeedsCompilation: no
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