Package: gammSlice
Type: Package
Title: Generalized additive mixed model analysis via slice sampling
Version: 1.3
Date: 2015-01-21
Author: Tung Pham and Matt Wand
Maintainer: Tung Pham <pham.t@unimelb.edu.au>
Description: Uses a slice sampling-based Markov chain Monte Carlo to
conduct Bayesian fitting and inference for generalized additive
mixed models (GAMM). Generalized linear mixed models and
generalized additive models are also handled as special cases
of GAMM.
Depends: R (>= 2.13), KernSmooth, lattice, mgcv
License: GPL (>= 2)
Packaged: 2015-01-21 06:46:35 UTC; tungp
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-01-21 08:24:52
Package: modTempEff
Type: Package
Title: Modelling temperature effects using time series data
Version: 1.5.2
Date: 2014-09-16
Author: Vito M.R. Muggeo
Maintainer: Vito M.R. Muggeo <vito.muggeo@unipa.it>
Description: Fits a Constrained Segmented Distributed Lag regression model
to epidemiological time series of mortality, temperature, and other confounders.
Depends: mgcv, splines
License: GPL
Packaged: 2014-09-18 09:39:13 UTC; user
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-18 12:57:05
Package: multipleNCC
Type: Package
Title: Weighted Cox-Regression for Nested Case-Control Data
Version: 1.2-1
Date: 2016-04-16
Author: Nathalie C. Stoer, Sven Ove Samuelsen
Maintainer: Nathalie C. Stoer <nathalcs@math.uio.no>
Description: Fit Cox proportional hazard models with a weighted
partial likelihood. It handles one or multiple endpoints, additional matching
and makes it possible to reuse controls for other endpoints.
Depends: survival, mgcv
License: GPL-2
NeedsCompilation: no
Packaged: 2016-04-19 14:50:45 UTC; Nathalie
Repository: CRAN
Date/Publication: 2016-04-19 17:34:59
Package: nontarget
Type: Package
Title: Detecting Isotope, Adduct and Homologue Relations in LC-MS Data
Version: 1.8
Date: 2016-03-14
Author: Martin Loos
Maintainer: Martin Loos <Martin.Loos@eawag.ch>
Description: Screening a HRMS data set for peaks related by (1) isotope patterns, (2) different adducts of the same molecule and/or (3) homologue series. The resulting isotopic pattern and adduct groups can then be combined to so-called components, with homologue series information attached. Also allows plotting and filtering HRMS data for mass defects, frequent m/z distances and components vs. non-components.
License: GPL-3
Depends: enviPat (>= 1.9), nontargetData (>= 1.1), mgcv (>= 1.7-22)
NeedsCompilation: yes
Packaged: 2016-03-14 12:31:10 UTC; uchemadmin
Repository: CRAN
Date/Publication: 2016-03-14 15:23:51
Package: labdsv
Version: 1.8-0
Date: 2016-01-21
Title: Ordination and Multivariate Analysis for Ecology
Author: David W. Roberts <droberts@montana.edu>
Maintainer: David W. Roberts <droberts@montana.edu>
Depends: R (>= 2.10), mgcv, MASS, cluster
Suggests: optpart
Description: A variety of ordination and community analyses
useful in analysis of data sets in community ecology.
Includes many of the common ordination methods, with
graphical routines to facilitate their interpretation,
as well as several novel analyses.
License: GPL (>= 2)
URL: http://ecology.msu.montana.edu/labdsv/R
Packaged: 2016-01-23 16:20:16 UTC; dvrbts
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-01-24 15:45:28
Package: DSsim
Depends: graphics, splancs, mrds, mgcv, shapefiles, methods
Suggests: testthat, parallel, knitr, rmarkdown
Type: Package
Title: Distance Sampling Simulations
Version: 1.0.5
Date: 2016-06-17
LazyLoad: yes
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>
Description: Performs distance sampling simulations. It repeatedly
generates instances of a user defined population within a given survey
region, generates realisations of a survey design (currently these must
be pregenerated using Distance software <http://distancesampling.org/>) and
simulates the detection process. The data are then analysed
so that the results can be compared for accuracy and precision
across all replications. This will allow users to select survey
designs which will give them the best accuracy and precision
given their expectations about population distribution. Any uncertainty in
population distribution or population parameters can be included by running
the different survey designs for a number of different population
descriptions. An example simulation can be found in the help file
for make.simulation.
License: GPL (>= 2)
Collate: 'DDF.Data.R' 'generic.functions.R' 'DDF.Analysis.R'
'DS.Analysis.R' 'Survey.Design.R' 'PT.Design.R'
'PT.Systematic.Design.R' 'PT.Random.Design.R' 'LT.Design.R'
'LT.User.Specified.Design.R' 'LT.EqSpace.ZZ.Design.R'
'LT.EqAngle.ZZ.Design.R' 'LT.Random.Design.R'
'LT.Systematic.Design.R' 'Density.R' 'Population.Description.R'
'Region.R' 'Region.Table.R' 'Sample.Table.R' 'Obs.Table.R'
'Single.Obs.DDF.Data.R' 'Transect.R' 'Line.Transect.R'
'Detectability.R' 'Population.R' 'LT.Survey.Results.R'
'Survey.Results.R' 'DSM.Analysis.R' 'Simulation.R'
'Class.Constructors.R' 'Design.Summary.R' 'Survey.R'
'LT.Survey.R' 'Point.Transect.R' 'PT.Survey.R'
'Population.Summary.R' 'Simulation.Summary.R'
'Single.Obs.LT.Survey.R' 'Single.Obs.PT.Survey.R'
'accumulate.PP.results.R' 'add.dist.error.R'
'add.summary.results.R' 'calc.area.R'
'calc.poss.detect.dists.lines.R'
'calc.poss.detect.dists.points.R' 'check.intersection.R'
'check.shapefile.R' 'coords.from.shapefile.R' 'create.bins.R'
'data.for.distance.R' 'description.summary.R'
'generate.pop.D.R' 'generate.pop.N.R' 'get.ave.density.R'
'get.bound.box.R' 'get.line.sampler.info.R'
'get.point.sampler.info.R' 'get.shapefile.names.R'
'get.surface.constant.R' 'get.surface.gam.R' 'hn.detect.R'
'hr.detect.R' 'in.polygons.R' 'is.gap.R'
'modify.strata.for.analysis.R' 'rename.duplicates.R'
'save.sim.results.R' 'simulate.detections.R'
'single.simulation.loop.R' 'store.ddf.results.R'
'store.dht.results.R' 'uf.detect.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-20 11:13:22 UTC; laura
Repository: CRAN
Date/Publication: 2016-06-20 20:25:41
providing 
.