Package: memgene
Type: Package
Title: Spatial pattern detection in genetic distance data using Moran's
Eigenvector Maps
Version: 1.0
Date: 2014-03-11
Author: Pedro Peres-Neto, Paul Galpern
Maintainer: Paul Galpern <pgalpern@ucalgary.ca>
Description: Memgene can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Memgene has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.
License: GPL (>= 2)
Imports: ade4, raster, gdistance, vegan
Suggests: adegenet, geosphere, knitr
VignetteBuilder: knitr
BuildVignettes: true
Packaged: 2014-06-05 22:03:20 UTC; pgalpern
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-06 02:10:07
Package: memisc
Type: Package
Title: Tools for Management of Survey Data and the Presentation of
Analysis Results
Version: 0.99.6
Date: 2016-02-21
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>
Description: One of the aims of this package is to make life easier for
useRs who deal with survey data sets. It provides an
infrastructure for the management of survey data including
value labels, definable missing values, recoding of variables,
production of code books, and import of (subsets of) SPSS and
Stata files. Further, it provides functionality to produce
tables and data frames of arbitrary descriptive statistics and
(almost) publication-ready tables of regression model
estimates, which can be exported to LaTeX and HTML.
License: GPL-2
LazyLoad: Yes
Depends: R (>= 3.0.0), lattice, stats, methods, utils, MASS
Suggests: splines, knitr
Enhances: AER, car, eha, lme4, ordinal, simex
Imports: grid
VignetteBuilder: knitr
URL:
http://www.elff.eu/software/memisc/,http://github.com/melff/memisc/
BugReports: http://github.com/melff/memisc/issues
NeedsCompilation: yes
Packaged: 2016-02-21 20:42:49 UTC; elff
Repository: CRAN
Date/Publication: 2016-02-22 01:32:31
Encoding: UTF-8
Package: memoise
Title: Memoisation of Functions
Version: 1.0.0
Authors@R: c(
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut"),
person("Jim", "Hester", , "jim.hester@rstudio.com", role = c("aut", "cre")),
person("Kirill", "Müller", , "krlmlr+r@mailbox.org", role = "aut"))
Description: Cache the results of a function so that when you call it
again with the same arguments it returns the pre-computed value.
URL: https://github.com/hadley/memoise
BugReports: https://github.com/hadley/memoise/issues
Imports: digest (>= 0.6.3)
Suggests: testthat
License: MIT + file LICENSE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-01-28 19:30:15 UTC; jhester
Author: Hadley Wickham [aut],
Jim Hester [aut, cre],
Kirill Müller [aut]
Maintainer: Jim Hester <jim.hester@rstudio.com>
Repository: CRAN
Date/Publication: 2016-01-29 05:58:01
Package: memuse
Title: Memory Estimation Utilities
Version: 2.5
Description: How much ram do you need to store a 100,000 by 100,000 matrix?
How much ram is your current R session using? How much ram do you even have?
Learn the scintillating answer to these and many more such questions with
the 'memuse' package.
License: GPL (>= 2)
Copyright: See memuse/inst/meminfo_LICENSE for the files in
src/meminfo/.
Depends: R (>= 2.15.1)
Imports: methods
NeedsCompilation: yes
ByteCompile: yes
Authors@R: c(
person("Drew", "Schmidt", email="wrathematics@gmail.com", role=c("aut", "cre")),
person("Christian", "Heckendorf", role="ctb"),
person("Wei-Chen", "Chen", role="ctb"))
Maintainer: Drew Schmidt <wrathematics@gmail.com>
URL: https://github.com/shinra-dev/memuse
BugReports: https://github.com/shinra-dev/memuse/issues
Packaged: 2015-07-01 23:17:23 UTC; mschmid3
Author: Drew Schmidt [aut, cre],
Christian Heckendorf [ctb],
Wei-Chen Chen [ctb]
Repository: CRAN
Date/Publication: 2015-07-02 06:47:25
Package: merror
Version: 2.0.2
Date: 2015-10-20
Author: Richard A. Bilonick <rabilonick@gmail.com>
Title: Accuracy and Precision of Measurements
Description: N>=3 methods are used to measure each of n items.
The data are used to estimate simultaneously systematic error (bias)
and random error (imprecision). Observed measurements for each method
or device are assumed to be linear functions of the unknown true values
and the errors are assumed normally distributed. Maximum likelihood
estimation is used for the imprecision standard deviation estimates.
Pairwise calibration curves and plots can be easily generated.
Maintainer: Richard A. Bilonick <rabilonick@gmail.com>
License: GPL (>= 2)
Imports: graphics, grDevices, stats, utils
NeedsCompilation: no
Packaged: 2015-11-02 17:20:23 UTC; rick
Repository: CRAN
Date/Publication: 2015-11-03 10:21:06
Package: meta4diag
Type: Package
Title: Meta-Analysis for Diagnostic Test Studies
Version: 2.0.2
Date: 2016-06-20
Author: Jingyi Guo <jingyi.guo@math.ntnu.no> and Andrea Riebler <andrea.riebler@math.ntnu.no>
Maintainer: Jingyi Guo <jingyi.guo@math.ntnu.no>
Description: Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <http://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos="http://www.math.ntnu.no/inla/R/testing").
License: GPL
Depends: R (>= 2.10), sp, methods, grid, shiny, shinyBS
Suggests: INLA
Additional_repositories: http://www.math.ntnu.no/inla/R/testing
Repository: CRAN
Repository/R-Forge/Project: meta4diag
Repository/R-Forge/Revision: 16
Repository/R-Forge/DateTimeStamp: 2016-06-23 08:31:55
Date/Publication: 2016-06-23 12:28:41
NeedsCompilation: no
Packaged: 2016-06-23 08:45:22 UTC; rforge
providing 
.