Last data update: 2014.03.03

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Results 101 - 110 of 11200 found.
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lambda.tools : Tools for Modeling Data with Functional Programming

Package: lambda.tools
Type: Package
Title: Tools for Modeling Data with Functional Programming
Version: 1.0.9
Date: 2016-05-11
Depends: R (>= 3.0.0)
Imports: lambda.r (>= 1.1.6)
Suggests: testthat (>= 0.2)
Author: Brian Lee Yung Rowe
Maintainer: Brian Lee Yung Rowe <r@zatonovo.com>
Description: Provides tools that manipulate and transform data using methods
and techniques consistent with functional programming. The idea is that
through the use of these tools, a program can be reasoned about insomuch
that the implementation can be proven to be equivalent to the mathematical
model.
License: LGPL-3
Collate: 'any.R' 'lambda.tools-package.R' 'logic.R' 'sequence.R'
'fold.R' 'map.R' 'sample.R' 'transform.R' 'ntry.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-11 12:01:29 UTC; brian
Repository: CRAN
Date/Publication: 2016-05-11 18:06:28

● Data Source: CranContrib
● 0 images, 25 functions, 0 datasets
● Reverse Depends: 0

landest : Landmark Estimation of Survival and Treatment Effect

Package: landest
Type: Package
Title: Landmark Estimation of Survival and Treatment Effect
Version: 1.0
Date: 2015-11-08
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>
Description: Provides functions to estimate survival and a treatment effect using a landmark estimation approach.
License: GPL
Imports: stats, survival
Packaged: 2015-11-14 16:43:05 UTC; parast
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-15 10:09:05

● Data Source: CranContrib
● 0 images, 19 functions, 2 datasets
● Reverse Depends: 0

landpred : Landmark Prediction of a Survival Outcome

Package: landpred
Type: Package
Title: Landmark Prediction of a Survival Outcome
Version: 1.0
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>
Description: This package includes functions for landmark prediction of a survival outcome incorporating covariate and short-term event information. For more information about landmark prediction please see: Parast, Layla, Su-Chun Cheng, and Tianxi Cai. Incorporating short-term outcome information to predict long-term survival with discrete markers. Biometrical Journal 53.2 (2011): 294-307.
License: GPL
Imports: survival
Packaged: 2014-10-17 22:28:12 UTC; parast
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-18 06:36:04

● Data Source: CranContrib
● 0 images, 17 functions, 1 datasets
● Reverse Depends: 0

landsat8 : Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or Temperature

Package: landsat8
Type: Package
Title: Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or
Temperature
Version: 0.1-9
Date: 2015-07-21
Author: Alexandre dos Santos
Maintainer: Alexandre dos Santos <alexandre.santos@cas.ifmt.edu.br>
Description: Functions for converted Landsat 8 multispectral satellite imagery
rescaled to the top of atmosphere (TOA) reflectance, radiance
and/or at satellite brightness temperature using radiometric
rescaling coefficients provided in the metadata file (MTL file).
Imports: rgdal, sp
Depends: R (>= 3.1.2)
License: GPL-2
LazyData: TRUE
Packaged: 2015-07-26 19:10:40 UTC; ASANTOS
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-26 23:10:31

● Data Source: CranContrib
● 0 images, 4 functions, 2 datasets
● Reverse Depends: 0

landsat : Radiometric and topographic correction of satellite imagery

Package: landsat
Type: Package
Title: Radiometric and topographic correction of satellite imagery
Version: 1.0.8
Date: 2012-10-19
Author: Sarah Goslee
Maintainer: Sarah Goslee <sarah.goslee@ars.usda.gov>
Depends: R (>= 2.15.0), rgdal, sp (>= 1.0)
Imports: lmodel2, mgcv
Description: Processing of Landsat or other multispectral satellite
imagery. Includes relative normalization, image-based
radiometric correction, and topographic correction options.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-10-22 15:31:59 UTC; sarahg
Repository: CRAN
Date/Publication: 2012-10-22 16:44:46

● Data Source: CranContrib
● Cran Task View: Spatial
● 0 images, 19 functions, 3 datasets
● Reverse Depends: 0

landscapeR : Categorical Landscape Simulation Facility

Package: landscapeR
Type: Package
Title: Categorical Landscape Simulation Facility
Version: 1.0.0
Date: 2016-05-22
Author: Dario Masante [aut, cre]
Maintainer: Dario Masante <dmasan@ceh.ac.uk>
URL: https://github.com/dariomasante/landscapeR
Imports: raster, fastmatch
Description: This set of functions allows the simulation of categorical maps from scratch in a geographically referenced landscape or the manipulation of existing ones. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion), therefore expands more or less circularly picking cells at the edges randomly.
License: GPL (>= 3)
LazyLoad: yes
LazyData: TRUE
NeedsCompilation: no
RoxygenNote: 5.0.1
Packaged: 2016-05-22 11:31:43 UTC; dmasan
Repository: CRAN
Date/Publication: 2016-05-22 16:02:06

● Data Source: CranContrib
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

languageR : Data sets and functions with "Analyzing Linguistic Data: A practical introduction to statistics".

Package: languageR
Type: Package
Title: Data sets and functions with "Analyzing Linguistic Data: A
practical introduction to statistics".
Version: 1.4.1
Date: 2013-12-9
Author: R. H. Baayen
Maintainer: R. H. Baayen <harald.baayen@uni-tuebingen.de>
Description: Data sets exemplifying statistical methods, and some
facilitatory utility functions used in "Analyzing Linguistic
Data: A practical introduction to statistics using R",
Cambridge University Press, 2008.
LazyData: yes
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Suggests: cluster, e1071, rms, Hmisc, MASS, rpart, lattice, zipfR,
lme4, multcomp, lmerTest, optimx
Imports: methods
Packaged: 2013-12-11 18:47:42 UTC; harald
Repository: CRAN
Date/Publication: 2013-12-12 01:27:42
NeedsCompilation: no

● Data Source: CranContrib
● Cran Task View: NaturalLanguageProcessing
● 0 images, 59 functions, 51 datasets
● Reverse Depends: 0

lar : History of labour relations package

Package: lar
Type: Package
Title: History of labour relations package
Version: 0.1-2
Date: 2014-04-29
Authors@R: c(person("Richard", "Zijdeman", role = c("aut", "cre"),
email = "richard.zijdeman@iisg.nl"),
person("Josemiguel", "Lana-Berasain", role = "ctb",
email = "josem.lana@unavarra.es"))
Description: This package is intended for researchers studying historical labour relations (see http://www.historyoflabourrelations.org). The package allows for easy access of excel files in the standard defined by the Global Collaboratory on the History of Labour Relations. The package also allows for visualisation of labour relations according to the Collaboratory's format.
Imports: data.table, grid, treemap, xlsx
License: GPL-3
Packaged: 2014-04-29 21:03:14 UTC; richard
Author: Richard Zijdeman [aut, cre],
Josemiguel Lana-Berasain [ctb]
Maintainer: Richard Zijdeman <richard.zijdeman@iisg.nl>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-04-30 07:49:41

● Data Source: CranContrib
● 0 images, 3 functions, 2 datasets
● Reverse Depends: 0

lars : Least Angle Regression, Lasso and Forward Stagewise

Package: lars
Type: Package
Version: 1.2
Date: 2013-04-23
Title: Least Angle Regression, Lasso and Forward Stagewise
Author: Trevor Hastie <hastie@stanford.edu> and Brad Efron
<brad@stat.stanford.edu>
Maintainer: Trevor Hastie <hastie@stanford.edu>
Description: Efficient procedures for fitting an entire lasso sequence
with the cost of a single least squares fit. Least angle
regression and infinitesimal forward stagewise regression are
related to the lasso, as described in the paper below.
Depends: R (>= 2.10)
License: GPL-2
URL: http://www-stat.stanford.edu/~hastie/Papers/#LARS
Packaged: 2013-04-24 05:12:53 UTC; hastie
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-04-24 09:46:12

● Data Source: CranContrib
● Cran Task View: MachineLearning
● 0 images, 6 functions, 1 datasets
Reverse Depends: 22

laser : Likelihood Analysis of Speciation/Extinction Rates from Phylogenies

Package: laser
Version: 2.4-1
Date: 2013-09-03
Title: Likelihood Analysis of Speciation/Extinction Rates from
Phylogenies
Author: Dan Rabosky, Klaus Schliep
Maintainer: Dan Rabosky <drabosky@umich.edu>
Depends: R (>= 2.6), ape, geiger (>= 1.99-3)
Suggests:
Description: laser implements maximum likelihood methods based on the
birth-death process to test whether diversification rates have
changed over time and whether rates vary among lineages.
License: GPL (>= 2)
Packaged: 2013-09-04 10:43:28 UTC; danrabosky
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-09-04 14:58:43

● Data Source: CranContrib
● 0 images, 23 functions, 4 datasets
Reverse Depends: 1