Thu, 28 Aug 2014

Package ttScreening updated to version 1.4 with previous version 1.3 dated 2014-02-28

Title: Genome-wide DNA methylation sites screening by use of training and testing samples.
Description: This package utilizes training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects.
Author: Meredith Ray, Xin Tong, Hongmei Zhang
Maintainer: Meredith Ray

Diff between ttScreening versions 1.3 dated 2014-02-28 and 1.4 dated 2014-08-28

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More information about ttScreening at CRAN
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Package psychotree updated to version 0.14-0 with previous version 0.13-0 dated 2014-02-03

Title: Recursive Partitioning Based on Psychometric Models
Description: Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees.
Author: Achim Zeileis [aut, cre], Carolin Strobl [aut], Florian Wickelmaier [aut], Basil Abou El-Komboz [aut], Julia Kopf [aut]
Maintainer: Achim Zeileis

Diff between psychotree versions 0.13-0 dated 2014-02-03 and 0.14-0 dated 2014-08-28

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Package psychotools updated to version 0.3-0 with previous version 0.2-0 dated 2014-02-03

Title: Infrastructure for Psychometric Modeling
Description: Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, partial credit, and rating scale models), extractor functions for different types of parameters (item, person, threshold, discrimination), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and psychometric tree models in package "psychotree".
Author: Achim Zeileis [aut, cre], Carolin Strobl [aut], Florian Wickelmaier [aut], Basil Abou El-Komboz [aut], Julia Kopf [aut]
Maintainer: Achim Zeileis

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Package MGSDA updated to version 1.1 with previous version 1.0 dated 2014-07-08

Title: Multi-Group Sparse Discriminant Analysis
Description: Implements Multi-Group Sparse Discriminant Analysis proposal of 'I.Gaynanova, J.Booth and M.Wells (2014), Simultaneous sparse estimation of canonical vectors in the p>>N setting'
Author: Irina Gaynanova
Maintainer: Irina Gaynanova

Diff between MGSDA versions 1.0 dated 2014-07-08 and 1.1 dated 2014-08-28

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Package corrgram updated to version 1.6 with previous version 1.5 dated 2013-08-29

Title: Plot a correlogram
Description: Calculates correlation of variables and displays the results graphically.
Author: Kevin Wright
Maintainer: Kevin Wright

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New package Eplot with initial version 1.0
Package: Eplot
Type: Package
Title: Plotting longitudinal series
Version: 1.0
Date: 2014-08-20
Author: Eran Raviv
Maintainer: Eran Raviv
Description: Aim: Adjust the graphical parameters to create nicer longitudinal series plots. The default set of graphical parameters is very general, and can be improved upon when we are interested in plotting data points observed over time. Functions facilitate plotting those kind of series, univariate plots, bivariate plots (with vertical axis on both left and right hand sides), multivariate plots and plots which allow to examine whether a new observation is 'unusual' via construction and visualization of prediction intervals around it.
License: GPL-2
Packaged: 2014-08-28 17:06:09 UTC; MP-User
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-29 01:16:24

More information about Eplot at CRAN
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New package BIOM.utils with initial version 0.9
Package: BIOM.utils
Type: Package
Title: Utilities for the BIOM (Biological Observation Matrix) Format
Authors@R: person (c("Daniel", "T."), "Braithwaite", role=c("aut", "cre"), email="contact.dtb@gmail.com")
Version: 0.9
Depends: R (>= 3.0), utils
Imports:
Suggests: RJSONIO, MGRASTer
URL: https://github.com/braithwaite/BIOM.utils/
Date: 2014-08-22
Description: Provides utilities to facilitate import, export and computation with the BIOM (Biological Observation Matrix) format (http://biom-format.org).
License: BSD_2_clause + file LICENSE
Copyright: University of Chicago
LazyData: yes
Collate: source.R
Packaged: 2014-08-28 20:46:11 UTC; dan
Author: Daniel T. Braithwaite [aut, cre]
Maintainer: Daniel T. Braithwaite
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-29 01:18:59

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Package SQUAREM updated to version 2014.8-1 with previous version 2012.7-1 dated 2012-07-26

Title: Squared extrapolation methods for accelerating fixed-point iterations
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM").
Author: Ravi Varadhan
Maintainer: Ravi Varadhan

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Package Rcapture updated to version 1.4-2 with previous version 1.3-1 dated 2012-05-31

Title: Loglinear Models for Capture-Recapture Experiments
Description: Estimation of abundance and other of demographic parameters for closed populations, open populations and the robust design in capture-recapture experiments using loglinear models.
Author: Louis-Paul Rivest and Sophie Baillargeon
Maintainer: Louis-Paul Rivest

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New package RcmdrPlugin.FactoMineR with initial version 1.5-0
Package: RcmdrPlugin.FactoMineR
Type: Package
Version: 1.5-0
Date: 2014-08-12
Title: Graphical User Interface for FactoMineR
Author: Francois Husson, Julie Josse, Sebastien Le
Maintainer: Francois Husson
Imports: Rcmdr (>= 2.0-0), tcltk
Depends: FactoMineR
Description: Rcmdr Plugin for the FactoMineR package
License: GPL (>= 2)
URL: http://factominer.free.fr, http://www.agrocampus-ouest.fr/math/
LazyLoad: no
Encoding: latin1
Packaged: 2014-08-28 19:10:16 UTC; husson
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-29 01:11:08

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Package RcmdrPlugin.DoE updated to version 0.12-3 with previous version 0.12-2 dated 2013-08-29

Title: R Commander Plugin for (industrial) Design of Experiments
Description: The package provides a platform-independent GUI for design of experiments. It is implemented as a plugin to the R-Commander, which is a more general graphical user interface for statistics in R based on tcl/tk. DoE functionality can be accessed through the menu Design that is added to the R-Commander menus.
Author: Ulrike Groemping [aut, cre], Fox John [ctb]
Maintainer: Ulrike Groemping

Diff between RcmdrPlugin.DoE versions 0.12-2 dated 2013-08-29 and 0.12-3 dated 2014-08-28

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Package HiClimR updated to version 1.1.3 with previous version 1.1.2 dated 2014-07-27

Title: Hierarchical Climate Regionalization: An Improved Hierarchical Clustering in R for Climate Regionalization
Description: HiClimR package modifies and improves hierarchical clustering in R ('hclust' function in 'stats' library), for climate regionalization. It adds a new clustering method (called, regional linkage) to the set of available methods together with several features including regridding, coarsening spatial resolution, geographic masking, data thresholds, detrending and standardization preprocessing, faster correlation function, hybrid hierarchical clustering, and cluster validation. Badr et. al (2014) describes the regionalization algorithms and data processing tools included in the package and presents a demonstration application in which the package is used to regionalize Africa on the basis of interannual precipitation variability. It is applicable to any correlation-based clustering.
Author: Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
Maintainer: Hamada S. Badr

Diff between HiClimR versions 1.1.2 dated 2014-07-27 and 1.1.3 dated 2014-08-28

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Permanent link

Package compareGroups updated to version 2.0.5 with previous version 2.0.4 dated 2014-05-02

Title: Descriptive analysis by groups
Description: This package is designed to read, interpret, summarise, display and analyse epidemiological data. Can be used to create data summaries for quality control, extensive reports for exploring data, including publication-ready univariate or bivariate tables in plain text HTML and LaTeX, and a figures to quickly visualise the distribution of your data. Depending on the nature of the variable, various statistics are calculated (mean, median, frequencies, incidences) and appropriate tests are performed (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...). The latest version includes functionality for summarising genetic data, and for performing low-level quality control of your database (see radiograph()) to help identify data-entry errors. This version has also been implemented in a web-interface to make this package accessible to non-R-users (see www.comparegroups.eu).
Author: Isaac Subirana, Joan Vila, Héctor Sanz, Gavin Lucas, Judith Peñafiel and David Giménez
Maintainer: Isaac Subirana

Diff between compareGroups versions 2.0.4 dated 2014-05-02 and 2.0.5 dated 2014-08-28

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New package bvarsv with initial version 1.0
Package: bvarsv
Type: Package
Title: Bayesian Analysis of a Vector Autoregressive Model with Stochastic Volatility and Time-Varying Parameters
Version: 1.0
Date: 2014-08-22
Author: Fabian Krueger
Maintainer: Fabian Krueger
Description: R/C++ implementation of the model proposed by Primiceri ("Time Varying Structural Vector Autoregressions and Monetary Policy", Review of Economic Studies, 2005), with a focus on generating posterior predictive distributions.
License: GPL (>= 2)
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp, RcppArmadillo
URL: https://sites.google.com/site/fk83research/code
Packaged: 2014-08-28 11:37:09 UTC; kruegefn
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-08-28 19:56:22

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Package Rlabkey updated to version 2.1.125 with previous version 2.1.123 dated 2013-11-04

Title: Data exchange between R and LabKey Server
Description: This package allows an R user to discover, query and modify data in LabKey Server
Author: Peter Hussey
Maintainer: Cory Nathe

Diff between Rlabkey versions 2.1.123 dated 2013-11-04 and 2.1.125 dated 2014-08-28

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New package NPBayesImpute with initial version 0.1
Package: NPBayesImpute
Type: Package
Title: Non-parametric Bayesian Multiple Imputation for Categorical Data
Version: 0.1
Date: 2014-04-05
Author: Quanli Wang, Daniel Manrique-Vallier, Jerome P. Reiter and Jingchen Hu
Maintainer: Quanli Wang
Description: These routines create multiple imputations of missing at random categorical data, with or without structural zeros. Imputations are based on Dirichlet process mixtures of multinomial distributions, which is a non-parametric Bayesian modeling approach that allows for flexible joint modeling.
License: GPL (>= 3)
Depends: methods, Rcpp (>= 0.10.2)
LinkingTo: Rcpp
RcppModules: clcm
Packaged: 2014-08-28 12:51:41 UTC; quanli
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-08-28 15:12:18

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Package effsize updated to version 0.5.2 with previous version 0.5.1 dated 2014-05-21

Title: Efficient effect size computation
Description: This package contains the functions to compute the standardized effect sizes for experiments (Cohen d, Hedges g, Cliff delta, Vargha and Delaney A). The computation algorithms have been optimized to allow efficient computation even with very large data sets.
Author: Marco Torchiano
Maintainer: Marco Torchiano

Diff between effsize versions 0.5.1 dated 2014-05-21 and 0.5.2 dated 2014-08-28

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Package BioStatR updated to version 2.0.0 with previous version 1.0.4 dated 2012-03-30

Title: Initiation à la Statistique avec R
Description: This packages provides datasets and functions for the book "Initiation à la Statistique avec R", Dunod, 2ed, 2014.
Author: Frederic Bertrand , Myriam Maumy-Bertrand .
Maintainer: Frederic Bertrand

Diff between BioStatR versions 1.0.4 dated 2012-03-30 and 2.0.0 dated 2014-08-28

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New package parsedate with initial version 1.0.2
Package: parsedate
Title: Recognize and parse dates in various formats, including all ISO 8601 formats
Version: 1.0.2
Maintainer: Gabor Csardi
Author: Gabor Csardi, Linus Torvalds
Description: Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
License: GPL-2
LazyData: true
Depends: methods
Imports: lubridate
Suggests: testthat
URL: https://github.com/gaborcsardi/parsedate
BugReports: https://github.com/gaborcsardi/parsedate/issues
Packaged: 2014-08-28 10:58:49 UTC; gaborcsardi
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-08-28 13:12:40

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Package fscaret updated to version 0.8.5.7 with previous version 0.8.5.6 dated 2014-04-14

Title: Automated caret feature selection
Description: Automated feature selection using variety of models provided by caret package
Author: Jakub Szlek , acknowledgments to Aleksander Mendyk, contributions from stackoverflow and r-help@r-project.org mailing list community. Acknowledgments: This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012.
Maintainer: Jakub Szlek

Diff between fscaret versions 0.8.5.6 dated 2014-04-14 and 0.8.5.7 dated 2014-08-28

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Package trajectories updated to version 0.1-1 with previous version 0.1-0 dated 2014-08-27

Title: Classes and methods for trajectory data
Description: Classes and methods for trajectory data, with nested classes for individual trips, and collections for different entities. Methods include selection, generalization, aggregation, intersection, and plotting.
Author: Edzer Pebesma [cre, aut], Benedikt Klus [aut]
Maintainer: Edzer Pebesma

Diff between trajectories versions 0.1-0 dated 2014-08-27 and 0.1-1 dated 2014-08-28

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Package QuantifQuantile updated to version 1.0 with previous version 0.2 dated 2014-06-13

Title: Estimation of conditional quantiles using optimal quantization
Description: Estimation of conditional quantiles using optimal quantization. Construction of an optimal grid of N quantizers, estimation of conditional quantiles and data driven selection of the size N of the grid. Graphical illustrations for the selection of N and of resulting estimated curves or surfaces when the dimension of the covariate is one or two.
Author: Isabelle Charlier and Davy Paindaveine and Jerome Saracco
Maintainer: Isabelle Charlier

Diff between QuantifQuantile versions 0.2 dated 2014-06-13 and 1.0 dated 2014-08-28

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Package georob updated to version 0.1-5 with previous version 0.1-4 dated 2014-06-02

Title: Robust Geostatistical Analysis of Spatial Data
Description: The georob package provides functions for fitting linear models with spatially correlated errors by robust and Gaussian Restricted Maximum Likelihood and for computing robust and customary point and block kriging predictions, along with utility functions for cross-validation and for unbiased back-transformation of kriging predictions of log-transformed data.
Author: Andreas Papritz [cre, aut], Cornelia Schwierz [ctb]
Maintainer: Andreas Papritz

Diff between georob versions 0.1-4 dated 2014-06-02 and 0.1-5 dated 2014-08-28

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Package cheddar updated to version 0.1-626 with previous version 0.1-625 dated 2014-02-26

Title: Analysis and visualisation of ecological communities
Description: Cheddar provides a flexible, extendable representation of an ecological community and a range of functions for analysis and visualisation, focusing on food web, body mass and numerical abundance data. It also allows inter-web comparisons such as examining changes in community structure over environmental, temporal or spatial gradients.
Author: Lawrence Hudson with contributions from Dan Reuman and Rob Emerson
Maintainer: Lawrence Hudson

Diff between cheddar versions 0.1-625 dated 2014-02-26 and 0.1-626 dated 2014-08-28

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Package Bergm updated to version 2.9.1 with previous version 2.9 dated 2014-07-22

Title: Bayesian analysis for exponential random graph models
Description: Set of tools to analyse Bayesian exponential random graph models
Author: Alberto Caimo and Nial Friel
Maintainer: Alberto Caimo

Diff between Bergm versions 2.9 dated 2014-07-22 and 2.9.1 dated 2014-08-28

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Package spatstat updated to version 1.38-1 with previous version 1.38-0 dated 2014-08-15

Title: Spatial Point Pattern analysis, model-fitting, simulation, tests
Description: A package for analysing spatial data, mainly Spatial Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, and point patterns on a linear network. Contains about 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Diggle-Cressie-Loosmore-Ford, Dao-Genton) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov) are also supported. Parametric models can be fitted to point pattern data using the functions ppm, kppm, slrm similar to glm. Types of models include Poisson, Gibbs, Cox and cluster point processes. Models may involve dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise, AIC). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley , Rolf Turner and Ege Rubak , with substantial contributions of code by Kasper Klitgaard Berthelsen; Abdollah Jalilian; Marie-Colette van Lieshout; Dominic Schuhmacher; and Rasmus Waagepetersen. Additional contributions by Q.W. Ang; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; L. Bischof; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; R. Corria Ainslie; M. de la Cruz; P. Dalgaard; S. Das; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; O. Flores; E.D. Ford; P. Forbes; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; M. Genton; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M. Hering; M.B. Hansen; M. Hazelton; J. Heikkinen; K. Hornik; P. Hunziker; R. Ihaka; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; H.T. Li; G. Limitsios; B. Madin; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; J. Moller; E. Mudrak; G.M. Nair; L.S. Nielsen; F. Nunes; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; P. Ramon; X. Raynaud, M. Reiter; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; K. Schladitz; B.T. Scott; G.C. Shen; V. Shcherbakov; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; B. Turlach; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; H. Wang; H. Wendrock; J. Wild; S. Wong; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley

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Package FactoMineR updated to version 1.27 with previous version 1.26 dated 2014-04-09

Title: Multivariate Exploratory Data Analysis and Data Mining with R
Description: an R package for exploratory data analysis
Author: Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet
Maintainer: Francois Husson

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Package rAvis updated to version 0.1.2 with previous version 0.1.1 dated 2014-03-07

Title: Interface to the bird-watching datasets at proyectoavis.com
Description: Interface to the proyectoavis.com bird observations records database. It provides means to download datasets filtered by species, order, family, and several other criteria. Provides also basic functionality to plot exploratory maps of the datasets.
Author: Javier González Hernández , Sara Varela
Maintainer: Sara Varela

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Package LatticeKrig updated to version 3.4 with previous version 3.3 dated 2014-07-11

Title: Multiresolution Kriging based on Markov random fields
Description: Functions for the interpolation of large spatial datasets. This package follows a "fixed rank Kriging" approach using a large number of basis functions and provides spatial estimates that are comparable to standard families of covariance functions. Using a large number of basis functions allows for estimates that can come close to interpolating the observations (a spatial model with a small nugget variance.) The covariance model for this method can approximate the Matern covariance family but also allows for a multi-resolution model and supports efficient computation of the profile likelihood for estimating covariance parameters. This is accomplished through compactly supported basis functions and a Markov random field model for the basis coefficients. These features lead to sparse matrices for the computations. One benefit of this approach is the facilty to do unconditional and conditional simulation of the field for large numbers of arbitrary points. There is also the flexibility for estimating nonstationary covariances. Included are generic methods for prediction, standard errors for prediction, plotting of the estimated surface and conditional and unconditional simulation.
Author: Douglas Nychka [aut, cre], Dorit Hammerling [aut], Stephan Sain [aut], Nathan Lenssen [aut]
Maintainer: Douglas Nychka

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Package ifultools updated to version 2.0-1 with previous version 2.0-0 dated 2013-12-30

Title: Insightful Research Tools
Description: Insightful Research Tools.
Author: William Constantine and Donald Percival (Applied Physics Laboratory, University of Washington)
Maintainer: Don Percival

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Package fastR updated to version 0.8-1 with previous version 0.4-2 dated 2013-04-11

Title: Data sets and utilities for Foundations and Applications of Statistics by R Pruim
Description: Data sets and utilities for Foundations and Applications of Statistics:an Introduction using R by R Pruim
Author: Randall Pruim
Maintainer: Randall Pruim

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Package cgAUC updated to version 1.2.1 with previous version 1.1.2 dated 2013-01-16

Title: Calculate AUC-type measure when gold standard is continuous and the corresponding optimal linear combination of variables with respect to it.
Description: The cgAUC can calculate the AUC-type measure of Obuchowski(2006) when gold standard is continuous, and find the optimal linear combination of variables with respect to this measure.
Author: Yuan-chin I. Chang, Yu-chia Chang, and Ling-wan Chen
Maintainer: Yu-chia Chang

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