Last data update: 2014.03.03

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Results 1 - 6 of 6 found.
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McSpatial : Nonparametric spatial data analysis

Package: McSpatial
Type: Package
Title: Nonparametric spatial data analysis
Version: 2.0
Date: 2013-5-20
Author: Daniel McMillen
Maintainer: Daniel McMillen <mcmillen@illinois.edu>
Description: Locally weighted regression, semiparametric and
conditionally parametric regression, fourier and cubic spline
functions, GMM and linearized spatial logit and probit,
k-density functions and counterfactuals, nonparametric quantile
regression and conditional density functions, Machado-Mata
decomposition for quantile regressions, spatial AR model,
repeat sales models, conditionally parametric logit and probit
License: GPL
LazyLoad: yes
Depends: lattice, locfit, maptools, quantreg, RANN, SparseM
Suggests: car, classInt, mlogit, RColorBrewer, spatstat, spdep
Packaged: 2013-05-26 08:34:40 UTC; Dan
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-05-26 11:08:53

● Data Source: CranContrib
● Cran Task View: Spatial
67 images, 45 functions, 1 datasets
● Reverse Depends: 0

StatMatch : Statistical Matching

Package: StatMatch
Type: Package
Title: Statistical Matching
Version: 1.2.4
Date: 2016-01-13
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <madorazi@istat.it>
Depends: R (>= 2.7.0), proxy, clue, survey, RANN, lpSolve
Suggests: MASS, Hmisc
Description: Integration of two data sources referred to the same target population which share a number of common variables (aka data fusion). Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-01-13 09:03:21 UTC; UTENTE
Repository: CRAN
Date/Publication: 2016-01-13 13:54:07

● Data Source: CranContrib
● Cran Task View: OfficialStatistics
● 0 images, 17 functions, 3 datasets
Reverse Depends: 1

RWBP : Detects spatial outliers using a Random Walk on Bipartite Graph

Package: RWBP
Type: Package
Title: Detects spatial outliers using a Random Walk on Bipartite Graph
Version: 1.0
Date: 2014-06-23
Author: Sigal Shaked & Ben Nasi
Maintainer: Sigal Shaked <shaksi@post.bgu.ac.il>
Description: a Bipartite graph and is constructed based on the spatial and/or non-spatial attributes of the spatial objects in the dataset. Secondly, RW techniques are utilized on the graphs to compute the outlierness for each point (the differences between spatial objects and their spatial neighbours). The top k objects with higher outlierness are recognized as outliers.
License: GPL (>= 2)
Depends: RANN, igraph, lsa, SnowballC
Packaged: 2014-06-24 17:50:55 UTC; Sigal
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-06-24 23:30:50

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

RapidPolygonLookup : Polygon lookup using kd trees

Package: RapidPolygonLookup
Type: Package
Title: Polygon lookup using kd trees
Version: 0.1
Date: 2013-11-18
Depends: R (>= 2.10.0), sp, RANN, PBSmapping, RgoogleMaps
Author: Markus Loecher <markus.loecher@gmail.com> and Madhav Kumar <madhavkumar2005@gmail.com>
Maintainer: Markus Loecher <markus.loecher@gmail.com>
Description: Facilitates efficient polygon search using kd trees.
Coordinate level spatial data can be aggregated to higher geographical
identities like census blocks, ZIP codes or police district boundaries.
This process requires mapping each point in the given data set to a
particular identity of the desired geographical hierarchy. Unless efficient
data structures are used, this can be a daunting task. The operation
point.in.polygon() from the package sp is computationally expensive.
Here, we exploit kd-trees as efficient nearest neighbor search algorithm
to dramatically reduce the effective number of polygons being searched.
License: GPL
LazyLoad: yes
Packaged: 2014-01-28 14:50:39 UTC; madhav
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-28 16:28:53

● Data Source: CranContrib
3 images, 7 functions, 3 datasets
● Reverse Depends: 0

celestial : Collection of Common Astronomical Conversion Routines and Functions

Package: celestial
Type: Package
Title: Collection of Common Astronomical Conversion Routines and
Functions
Version: 1.3
Date: 2015-06-10
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>
Description: Contains a number of common astronomy conversion routines, particularly the HMS and degrees schemes, which can be fiddly to convert between on mass due to the textural nature of the former. It allows users to coordinate match datasets quickly. It also contains functions for various cosmological calculations.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.00), RANN
Packaged: 2015-06-10 10:20:30 UTC; aaron
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-06-10 15:01:28

● Data Source: CranContrib
● Cran Task View: ChemPhys
● 0 images, 17 functions, 0 datasets
Reverse Depends: 1

saasCNV : Somatic Copy Number Alteration Analysis Using Sequencing and SNP Array Data

Package: saasCNV
Version: 0.3.4
Date: 2016-05-10
Title: Somatic Copy Number Alteration Analysis Using Sequencing and SNP
Array Data
Author: Zhongyang Zhang [aut, cre],
Ke Hao [aut],
Nancy R. Zhang [ctb]
Maintainer: Zhongyang Zhang <zhongyang.zhang@mssm.edu>
Depends: R (>= 2.10), RANN, DNAcopy
Description: Perform joint segmentation on two signal dimensions derived from
total read depth (intensity) and allele specific read depth (intensity) for
whole genome sequencing (WGS), whole exome sequencing (WES) and SNP array data.
License: GPL (>= 2)
URL: https://zhangz05.u.hpc.mssm.edu/saasCNV/
NeedsCompilation: no
Packaged: 2016-05-17 14:58:22 UTC; zhangz05
Repository: CRAN
Date/Publication: 2016-05-18 02:04:56

● Data Source: CranContrib
● 0 images, 16 functions, 0 datasets
● Reverse Depends: 0