Mon, 25 Sep 2017

Package RcppAnnoy updated to version 0.0.10 with previous version 0.0.9 dated 2017-08-31

Title: 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest Neighbors
Description: 'Annoy' is a small C++ library for Approximate Nearest Neighbors written for efficient memory usage as well an ability to load from / save to disk. This package provides an R interface by relying on the 'Rcpp' package, exposing the same interface as the original Python wrapper to 'Annoy'. See <https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released under Version 2.0 of the Apache License. Also included is a small Windows port of 'mmap' which is released under the MIT license.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package personalized updated to version 0.1.0 with previous version 0.0.2 dated 2017-06-11

Title: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine
Description: Provides functions for fitting and validation of subgroup identification and personalized medicine models under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies.
Author: Jared Huling [aut, cre], Aaron Potvien [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package ggraptR updated to version 1.0 with previous version 0.1 dated 2016-03-04

Title: Allows Interactive Visualization of Data Through a Web Browser GUI
Description: Intended for both technical and non-technical users to create interactive data visualizations through a web browser GUI without writing any code.
Author: Eugene Dubossarsky [aut, cph, cre], Julius Neggo [ctb] (Lead Developer), Howard Song [aut] (Developer), Susan Wang [ctb] (Project Manager), Jason Widjaja [ctb] (Vignette), Jose Magana [ctb] (Package Manager and Developer), Sergey Skripko [ctb] (Developer)
Maintainer: Eugene Dubossarsky <eugene@presciient.com>

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Package bayesAB updated to version 1.1.0 with previous version 1.0.0 dated 2017-07-23

Title: Fast Bayesian Methods for AB Testing
Description: A suite of functions that allow the user to analyze A/B test data in a Bayesian framework. Intended to be a drop-in replacement for common frequentist hypothesis test such as the t-test and chi-sq test.
Author: Frank Portman [aut, cre]
Maintainer: Frank Portman <frank1214@gmail.com>

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Package webshot updated to version 0.4.2 with previous version 0.4.1 dated 2017-05-31

Title: Take Screenshots of Web Pages
Description: Takes screenshots of web pages, including Shiny applications.
Author: Winston Chang [aut, cre], Yihui Xie [ctb], Francois Guillem [ctb], Nicolas Perriault [ctb] (The CasperJS library)
Maintainer: Winston Chang <winston@rstudio.com>

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Package svd updated to version 0.4.1 with previous version 0.4 dated 2016-02-11

Title: Interfaces to Various State-of-Art SVD and Eigensolvers
Description: R bindings to SVD and eigensolvers (PROPACK, nuTRLan).
Author: Anton Korobeynikov [aut, cre], Rasmus Munk Larsen [ctb, cph], Lawrence Berkeley National Laboratory [ctb, cph]
Maintainer: Anton Korobeynikov <anton@korobeynikov.info>

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Package metacom updated to version 1.4.9 with previous version 1.4.7 dated 2017-08-17

Title: Analysis of the 'Elements of Metacommunity Structure'
Description: Functions to analyze coherence, boundary clumping, and turnover following the pattern-based metacommunity analysis of Leibold and Mikkelson 2002 <doi:10.1034/j.1600-0706.2002.970210.x>. The package also includes functions to visualize ecological networks, and to calculate modularity as a replacement to boundary clumping.
Author: Tad Dallas
Maintainer: Tad Dallas <tdallas@ucdavis.edu>

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Package inferference updated to version 0.5.4 with previous version 0.4.62 dated 2015-06-08

Title: Methods for Causal Inference with Interference
Description: Provides methods for estimating causal effects in the presence of interference. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele in "On causal inference in the presence of interference" (Statistical Methods in Medical Research (2012), 21(1) 55-75).
Author: Bradley Saul
Maintainer: Bradley Saul <bradleysaul@gmail.com>

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Package ECOSolveR updated to version 0.3-2 with previous version 0.3-1 dated 2017-08-26

Title: Embedded Conic Solver in R
Description: R interface to the Embedded COnic Solver (ECOS), an efficient and robust C library for convex problems. Conic and equality constraints can be specified in addition to integer and boolean variable constraints for mixed-integer problems. This R interface is inspired by the python interface and has similar calling conventions.
Author: Anqi Fu [aut], Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package Cprob updated to version 1.4 with previous version 1.3 dated 2017-01-16

Title: The Conditional Probability Function of a Competing Event
Description: Permits to estimate the conditional probability function of a competing event, and to fit, using the temporal process regression or the pseudo-value approach, a proportional-odds model to the conditional probability function (or other models by specifying another link function). See <doi:10.1111/j.1467-9876.2010.00729.x>.
Author: Arthur Allignol
Maintainer: Arthur Allignol <arthur.allignol@gmail.com>

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Package checkmate updated to version 1.8.4 with previous version 1.8.3 dated 2017-07-03

Title: Fast and Versatile Argument Checks
Description: Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Author: Michel Lang [cre, aut], Bernd Bischl [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package boral updated to version 1.4 with previous version 1.3.1 dated 2017-04-18

Title: Bayesian Ordination and Regression AnaLysis
Description: Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via JAGS. Three types of models may be fitted: 1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix.
Author: Francis K.C. Hui
Maintainer: Francis Hui <fhui28@gmail.com>

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 R/boral.jags.R                 |  370 +++++++++-------
 R/makejagsboralmodel.R         |   36 +
 R/makejagsboralnullmodel.R     |   29 -
 R/unseenfunctions.R            |  199 ++++++--
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 inst/NEWS.Rd                   |   34 -
 man/about.ssvs.Rd              |    4 
 man/about.traits.Rd            |    4 
 man/boral.Rd                   |   46 --
 man/calc.condlogLik.Rd         |    6 
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 man/get.residual.cor.Rd        |   33 -
 man/make.jagsboralmodel.Rd     |   12 
 man/make.jagsboralnullmodel.Rd |   13 
 man/plot.boral.Rd              |    2 
 man/predict.boral.Rd           |   38 -
 28 files changed, 1147 insertions(+), 704 deletions(-)

More information about boral at CRAN
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Package backports updated to version 1.1.1 with previous version 1.1.0 dated 2017-05-22

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Implementations of functions which have been introduced in R since version 3.0.0. The backports are conditionally exported which results in R resolving the function names to the version shipped with R (if available) and uses the implemented backports as fallback. This way package developers can make use of the new functions without worrying about the minimum required R version.
Author: Michel Lang <michellang@gmail.com>
Maintainer: Michel Lang <michellang@gmail.com>

Diff between backports versions 1.1.0 dated 2017-05-22 and 1.1.1 dated 2017-09-25

 DESCRIPTION             |    8 ++++----
 MD5                     |   28 ++++++++++++++++++++--------
 NAMESPACE               |    7 ++++++-
 NEWS.md                 |   11 ++++++++---
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 R/import.R              |    4 ++--
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 19 files changed, 59 insertions(+), 24 deletions(-)

More information about backports at CRAN
Permanent link

Package TreeSimGM updated to version 2.3 with previous version 2.2 dated 2017-08-10

Title: Simulating Phylogenetic Trees under General Bellman Harris and Lineage Shift Model
Description: Provides a flexible simulation tool for phylogenetic trees under a general model for speciation and extinction. Trees with a user-specified number of extant tips, or a user-specified stem age are simulated. It is possible to assume any probability distribution for the waiting time until speciation and extinction. Furthermore, the waiting times to speciation / extinction may be scaled in different parts of the tree, meaning we can simulate trees with clade-dependent diversification processes. At a speciation event, one species splits into two. We allow for two different modes at these splits: (i) symmetric, where for every speciation event new waiting times until speciation and extinction are drawn for both daughter lineages; and (ii) asymmetric, where a speciation event results in one species with new waiting times, and another that carries the extinction time and age of its ancestor. The symmetric mode can be seen as an vicariant or allopatric process where divided populations suffer equal evolutionary forces while the asymmetric mode could be seen as a peripatric speciation where a mother lineage continues to exist.
Author: Oskar Hagen, Tanja Stadler
Maintainer: Oskar Hagen <oskar.hagen@outlook.com>

Diff between TreeSimGM versions 2.2 dated 2017-08-10 and 2.3 dated 2017-09-25

 DESCRIPTION                |    8 ++++----
 MD5                        |   20 ++++++++++----------
 R/mytree.asymmetric.age.R  |   30 +++++++++++++++---------------
 R/mytree.asymmetric.taxa.R |   28 ++++++++++++++--------------
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 R/mytree.symmetric.taxa.R  |   24 ++++++++++++------------
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 man/TreeSimGM-package.Rd   |    6 +++---
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 man/track.shift.Rd         |    5 ++++-
 11 files changed, 79 insertions(+), 74 deletions(-)

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Package Rpdb updated to version 2.3 with previous version 2.2 dated 2014-04-26

Title: Read, Write, Visualize and Manipulate PDB Files
Description: Provides tools to read, write, visualize PDB files and perform some structural manipulations.
Author: Julien Idé
Maintainer: Julien Idé <julien.ide.fr@gmail.com>

Diff between Rpdb versions 2.2 dated 2014-04-26 and 2.3 dated 2017-09-25

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 83 files changed, 4029 insertions(+), 1391 deletions(-)

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Package rgeos updated to version 0.3-25 with previous version 0.3-24 dated 2017-09-19

Title: Interface to Geometry Engine - Open Source ('GEOS')
Description: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries. The 'GEOS' library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on 'CRAN'.
Author: Roger Bivand [cre, aut], Colin Rundel [aut], Edzer Pebesma [ctb], Rainer Stuetz [ctb], Karl Ove Hufthammer [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgeos versions 0.3-24 dated 2017-09-19 and 0.3-25 dated 2017-09-25

 ChangeLog        |   24 
 DESCRIPTION      |    8 
 MD5              |   12 
 configure        | 1545 +------------------------------------------------------
 configure.ac     |   29 -
 inst/ChangeLog   |   24 
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 7 files changed, 116 insertions(+), 1528 deletions(-)

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Package MPSEM updated to version 0.3-3 with previous version 0.3-2 dated 2017-08-22

Title: Modeling Phylogenetic Signals using Eigenvector Maps
Description: Computational tools to represent phylogenetic signals using adapted eigenvector maps.
Author: Guillaume Guenard, with contribution from Pierre Legendre
Maintainer: Guillaume Guenard <guillaume.guenard@gmail.com>

Diff between MPSEM versions 0.3-2 dated 2017-08-22 and 0.3-3 dated 2017-09-25

 DESCRIPTION        |    8 ++++----
 MD5                |    8 ++++----
 inst/doc/MPSEM.pdf |binary
 man/PEM.Rd         |   11 ++++++-----
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 5 files changed, 16 insertions(+), 16 deletions(-)

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Package laGP updated to version 1.5 with previous version 1.4 dated 2017-06-02

Title: Local Approximate Gaussian Process Regression
Description: Performs approximate GP regression for large computer experiments and spatial datasets. The approximation is based on finding small local designs for prediction (independently) at particular inputs. OpenMP and SNOW parallelization are supported for prediction over a vast out-of-sample testing set; GPU acceleration is also supported for an important subroutine. OpenMP and GPU features may require special compilation. An interface to lower-level (full) GP inference and prediction is also provided, as are associated wrapper routines for blackbox optimization under mixed equality and inequality constraints via an augmented Lagrangian scheme, and for large scale computer model calibration.
Author: Robert B. Gramacy <rbg@vt.edu>, Furong Sun <furongs@vt.edu>
Maintainer: Robert B. Gramacy <rbg@vt.edu>

Diff between laGP versions 1.4 dated 2017-06-02 and 1.5 dated 2017-09-25

 ChangeLog           |   11 
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 MD5                 |   65 +-
 NAMESPACE           |   13 
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 35 files changed, 3277 insertions(+), 1295 deletions(-)

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Package forecast updated to version 8.2 with previous version 8.1 dated 2017-06-17

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph], Mitchell O'Hara-Wild [aut], Christoph Bergmeir [aut], Slava Razbash [aut], Earo Wang [aut]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.1 dated 2017-06-17 and 8.2 dated 2017-09-25

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Package SensMap updated to version 0.2 with previous version 0.1 dated 2017-09-23

Title: Sensory and Consumer Data Mapping
Description: External preference mapping technique is commonly used in sensory analysis field to explain consumer preferences in function of sensory attributes of products Danzart (1998) (<https://www.lavoisier.fr/livre/agro-alimentaire/evaluation- sensorielle-3e-ed/depledt/descriptif-9782743009977>). The package provides map visualization with options in dimension reduction methods and prediction models from linear and non linear regressions. A smoothed version of the map performed using LOESS algorithm is available. A comparison approach of maps stability from different features before and after smoothing is provided. A 'shiny' application is included. It presents an easy GUI for the implemented functions as well as a comparative tool of fit models using several criteria. Basic analysis such as characterization of products, panelists and sessions likewise consumer segmentation are available.
Author: Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
Maintainer: Ibtihel Rebhi <ibtihel.rebhi@enit.utm.tn>

Diff between SensMap versions 0.1 dated 2017-09-23 and 0.2 dated 2017-09-25

 DESCRIPTION               |   28 +++++++++++++++-------------
 MD5                       |   12 ++++++------
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 man/SensMapUI.Rd          |    2 +-
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New package econullnetr with initial version 0.1.0
Package: econullnetr
Type: Package
Title: Null Model Analysis for Ecological Networks
Version: 0.1.0
Depends: R (>= 2.10)
Imports: reshape2, bipartite, gtools
Suggests: cheddar, igraph, knitr, rmarkdown, testthat, vdiffr
Author: Ian Vaughan
Maintainer: Ian Vaughan <vaughanip@cardiff.ac.uk>
BugReports: https://github.com/ivaughan/econullnetr/issues
Description: Tools for using null models to analyse ecological networks (e.g. food webs, flower-visitation networks, seed-dispersal networks) and detect resource preferences or non-random interactions among network nodes. Tools are provided to run null models, test for and plot preferences, plot and analyse bipartite networks, and export null model results in a form compatible with other network analysis packages. The underlying null model was developed by Agusti et al. (2003) <doi:10.1046/j.1365-294X.2003.02014.x> and the full application to ecological networks by Vaughan et al. (2017) econullnetr: an R package using null models to analyse the structure of ecological networks and identify resource selection. Methods in Ecology & Evolution, in press.
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 5.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-25 13:02:41 UTC; I. Vaughan
Repository: CRAN
Date/Publication: 2017-09-25 17:35:43 UTC

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Package PSTR updated to version 1.1.0 with previous version 1.0.1 dated 2017-09-13

Title: Panel Smooth Transition Regression Modelling
Description: Provides the Panel Smooth Transition Regression (PSTR) modelling. The modelling procedure consists of three stages: Specification, Estimation and Evaluation. The package offers sharp tools helping the package user(s) to conduct model specification tests, to do PSTR model estimation, and to do model evaluation. The tests implemented in the package allow for cluster-dependency and are heteroskedasticity-consistent. The wild bootstrap and wild cluster bootstrap tests are also implemented. Parallel computation (as an option) is implemented in some functions for bootstrap tests. The package suits tasks running many cores on super-computation servers.
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>

Diff between PSTR versions 1.0.1 dated 2017-09-13 and 1.1.0 dated 2017-09-25

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 16 files changed, 272 insertions(+), 953 deletions(-)

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Package PRIMsrc updated to version 0.7.4 with previous version 0.7.3 dated 2017-08-07

Title: PRIM Survival Regression Classification
Description: Performs a unified treatment of Bump Hunting by Patient Rule Induction Method (PRIM) in Survival, Regression and Classification settings (SRC). The current version is a development release that only implements the case of a survival response. New features will be added soon as they are available.
Author: Jean-Eudes Dazard [aut, cre], Michael Choe [ctb], Michael LeBlanc [ctb], Alberto Santana [ctb]
Maintainer: Jean-Eudes Dazard <jean-eudes.dazard@case.edu>

Diff between PRIMsrc versions 0.7.3 dated 2017-08-07 and 0.7.4 dated 2017-09-25

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Package wrswoR.benchmark updated to version 0.2 with previous version 0.1-1 dated 2016-02-12

Title: Benchmark and Correctness Data for Weighted Random Sampling Without Replacement
Description: Includes performance measurements and results of repeated experiment runs (for correctness checks) for code in the 'wrswoR' package.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between wrswoR.benchmark versions 0.1-1 dated 2016-02-12 and 0.2 dated 2017-09-25

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Package ManlyMix updated to version 0.1.9 with previous version 0.1.8 dated 2017-09-05

Title: Manly Mixture Modeling and Model-Based Clustering
Description: The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <DOI:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Michael Hutt [ctb, cph] (NM optimization in c), Stephen Moshier [ctb, cph] (eigen calculations in c), Rouben Rostamian [ctb, cph] (memory allocation in c)
Maintainer: Xuwen Zhu <xuwen.zhu@louisville.edu>

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Package RDML updated to version 0.9-9 with previous version 0.9-8 dated 2017-09-05

Title: Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format Files
Description: Imports real-time thermo cycler (qPCR) data from Real-time PCR Data Markup Language (RDML) and transforms to the appropriate formats of the 'qpcR' and 'chipPCR' packages. Contains a dendrogram visualization for the structure of RDML object and GUI for RDML editing.
Author: Konstantin A. Blagodatskikh [cre, aut], Stefan Roediger [aut], Michal Burdukiewicz [aut], Andrej-Nikolai Spiess [aut]
Maintainer: Konstantin A. Blagodatskikh <k.blag@yandex.ru>

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Package MTA updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-06

Title: Multiscalar Territorial Analysis
Description: Build multiscalar territorial analysis based on various contexts.
Author: Ronan Ysebaert [aut], Nicolas Lambert [aut], Timothée Giraud [aut, cre]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between MTA versions 0.1.0 dated 2017-03-06 and 0.1.1 dated 2017-09-25

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Package cartography updated to version 2.0.1 with previous version 2.0.0 dated 2017-09-19

Title: Thematic Cartography
Description: Create and integrate maps in your R workflow. This package allows various cartographic representations such as proportional symbols, chroropleth, typology, flows or discontinuities maps. It also offers several features enhancing the graphic presentation of maps like cartographic palettes, layout elements (scale, north arrow, title...), labels, legends or access to some cartographic APIs. See Giraud and Lambert (2017) <doi:10.1007/978-3-319-57336-6_13>.
Author: Timothée Giraud [cre, aut], Nicolas Lambert [aut], Ian Fellows [cph] (no overlap algorithm for labels, from wordcloud package)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between cartography versions 2.0.0 dated 2017-09-19 and 2.0.1 dated 2017-09-25

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New package isnullptr with initial version 1.0.0
Package: isnullptr
Title: Check if an 'externalptr' is a Null Pointer
Version: 1.0.0
Authors@R: person("Jonas", "Förster", email = "jonasfoerster@gmail.com", role = c("aut", "cre"))
Description: Check if an 'externalptr' is a null pointer. R does currently not have a native function for that purpose. This package contains a C function that returns TRUE in case of a null pointer.
Depends: R (>= 3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-09-25 09:33:30 UTC; Jonas
Author: Jonas Förster [aut, cre]
Maintainer: Jonas Förster <jonasfoerster@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-25 11:16:03 UTC

More information about isnullptr at CRAN
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Package growthrates updated to version 0.7.0 with previous version 0.6.5 dated 2016-03-14

Title: Estimate Growth Rates from Experimental Data
Description: A collection of methods to determine growth rates from experimental data, in particular from batch experiments and plate reader trials.
Author: Thomas Petzoldt
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between growthrates versions 0.6.5 dated 2016-03-14 and 0.7.0 dated 2017-09-25

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New package d3plus with initial version 0.1.0
Package: d3plus
Type: Package
Title: Seamless 'D3Plus' Integration
Version: 0.1.0
Author: Mauricio Vargas [aut,cre], Joshua Kunst [aut], Dave Landry [ctb], Datawheel [cph]
Maintainer: Mauricio Vargas <oec@media.mit.edu>
Description: Provides functions that offer seamless 'D3Plus' integration. The examples provided here are taken from the official 'D3Plus' website <http://d3plus.org>.
Depends: htmlwidgets, magrittr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-25 04:45:35 UTC; poly
Repository: CRAN
Date/Publication: 2017-09-25 11:20:51 UTC

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Package HybridFS updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-25

Title: A Hybrid Filter-Wrapper Feature Selection Method
Description: A hybrid method of feature selection which combines both filter and wrapper methods. The first level involves feature reduction based on some of the important filter methods while the second level involves feature subset selection as in a wrapper method. Comparative analysis with the existing feature selection packages shows this package results in higher classification accuracy, reduced processing time and improved data handling capacity.
Author: Yamini Pandari [aut, cre]
Maintainer: Yamini Pandari <yamseee@gmail.com>

Diff between HybridFS versions 0.1.0 dated 2017-09-25 and 0.1.1 dated 2017-09-25

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Package BIGL updated to version 1.1.0 with previous version 1.0.1 dated 2017-06-30

Title: Biochemically Intuitive Generalized Loewe Model
Description: Response surface methods for drug synergy analysis. Available methods include generalized and classical Loewe formulations as well as Highest Single Agent methodology. Response surfaces can be plotted in an interactive 3-D plot and formal statistical tests for presence of synergistic effects are available.
Author: Heather Turner, Annelies Tourny, Olivier Thas, Maxim Nazarov, Rytis Bagdziunas
Maintainer: Maxim Nazarov <maxim.nazarov@openanalytics.eu>

Diff between BIGL versions 1.0.1 dated 2017-06-30 and 1.1.0 dated 2017-09-25

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Package prioritylasso updated to version 0.2.1 with previous version 0.2.0 dated 2017-07-17

Title: Analyzing Multiple Omics Data with an Offset Approach
Description: Fits successive Lasso models for several blocks of (omics) data with different priorities and takes the predicted values as an offset for the next block.
Author: Simon Klau, Roman Hornung
Maintainer: Simon Klau <simonklau@ibe.med.uni-muenchen.de>

Diff between prioritylasso versions 0.2.0 dated 2017-07-17 and 0.2.1 dated 2017-09-25

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New package HybridFS with initial version 0.1.0
Package: HybridFS
Title: A Hybrid Filter-Wrapper Feature Selection Method
Version: 0.1.0
Authors@R: person("Yamini", "Pandari", email = "yamseee@gmail.com", role = c("aut", "cre"))
Description: A hybrid method of feature selection which combines both filter and wrapper methods. The first level involves feature reduction based on some of the important Filter methods while the second level involves feature subset selection as in a wrapper method. Experimental results show that this hybrid feature selection algorithm simplifies the feature selection process effectively and obtains higher classification accuracy, reduced processing time and improved data handling capacity than other feature selection algorithms.
Depends: R (>= 3.4.1)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: FSelector, caTools, woeBinning, ROCR, InformationValue
NeedsCompilation: no
Packaged: 2017-09-24 16:15:01 UTC; yamini.pandari
Author: Yamini Pandari [aut, cre]
Maintainer: Yamini Pandari <yamseee@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-25 09:09:24 UTC

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Package wsrf updated to version 1.7.17 with previous version 1.7.13 dated 2017-04-17

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) <DOI:10.4018/jdwm.2012040103>. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre], Graham J. Williams [aut], Junchao Lv [aut], Baoxun Xu [aut], Joshua Zhexue Huang [aut]
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

Diff between wsrf versions 1.7.13 dated 2017-04-17 and 1.7.17 dated 2017-09-25

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New package spiderbar with initial version 0.2.0
Package: spiderbar
Type: Package
Title: Parse and Test Robots Exclusion Protocol Files and Rules
Version: 0.2.0
Date: 2017-09-23
Author: Bob Rudis (bob@rud.is) [aut, cre], SEOmoz, Inc [aut]
Maintainer: Bob Rudis <bob@rud.is>
Description: The 'Robots Exclusion Protocol' <http://www.robotstxt.org/orig.html> documents a set of standards for allowing or excluding robot/spider crawling of different areas of site content. Tools are provided which wrap The 'rep-cpp' <https://github.com/seomoz/rep-cpp> C++ library for processing these 'robots.txt' files.
SystemRequirements: C++11
NeedsCompilation: yes
URL: https://github.com/hrbrmstr/spiderbar
BugReports: https://github.com/hrbrmstr/spiderbar/issues
License: MIT + file LICENSE
Suggests: testthat, covr, robotstxt
Depends: R (>= 3.2.0)
Imports: Rcpp
RoxygenNote: 6.0.1
LinkingTo: Rcpp
Packaged: 2017-09-24 13:07:11 UTC; bob
Repository: CRAN
Date/Publication: 2017-09-25 08:24:55 UTC

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New package rSQM with initial version 1.2.42
Package: rSQM
Type: Package
Title: Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping
Version: 1.2.42
Date: 2017-09-20
Authors@R: c(person("Jaepil Cho", role="aut", email="jpcho89@gmail"), person("Wonil Cho", role=c("aut", "cre"), email="climate.service@apcc21.org"), person("Imgook Jung", role="aut", email="igjung@apcc21.org"))
Author: Jaepil Cho [aut], Wonil Cho [aut, cre], Imgook Jung [aut]
Maintainer: Wonil Cho <climate.service@apcc21.org>
Description: Conducts statistical downscaling of daily CMIP5 (Coupled Model Intercomparison Project 5) climate change scenario data at a station level using empirical quantile mapping method by Jaepil Cho et al. (2016) <doi:10.1002/ird.2035>.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.3.3)
Imports: ncdf4, zoo, stringr, EcoHydRology, dplyr, gsubfn, yaml, mise, reshape2, qmap, ggplot2
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2017-09-25 00:53:23 UTC; jowonil
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2017-09-25 08:27:42 UTC

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New package microdemic with initial version 0.1.0
Package: microdemic
Type: Package
Title: 'Microsoft Academic' API Client
Description: The 'Microsoft Academic Knowledge' API provides programmatic access to scholarly articles in the 'Microsoft Academic Graph' (<https://academic.microsoft.com/>). Includes methods matching all 'Microsoft Academic' API routes, including search, graph search, text similarity, and interpret natural language query string.
Version: 0.1.0
Authors@R: person("Scott", "Chamberlain", email = "myrmecocystus+r@gmail.com", role = c("aut", "cre"))
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/ropenscilabs/microdemic
BugReports: https://github.com/ropenscilabs/microdemic/issues
Imports: crul (>= 0.2.0), jsonlite (>= 1.2), data.table, tibble
Suggests: roxygen2 (>= 6.0.1), testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-24 19:17:37 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-25 08:32:53 UTC

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Package JMbayes updated to version 0.8-67 with previous version 0.8-65 dated 2017-09-18

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes versions 0.8-65 dated 2017-09-18 and 0.8-67 dated 2017-09-25

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Package vardpoor updated to version 0.9.10 with previous version 0.9.8 dated 2017-08-21

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

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Package MBHdesign updated to version 1.0.76 with previous version 1.0.70 dated 2017-07-12

Title: Spatial Designs for Ecological and Environmental Surveys
Description: Provides spatially balanced designs from a set of (contiguous) potential sampling locations in a study region. Accommodates , without detrimental effects on spatial balance, sites that the researcher wishes to include in the survey for reasons other than the current randomisation (legacy sites).
Author: Scott D. Foster
Maintainer: Scott Foster <scott.foster@csiro.au>

Diff between MBHdesign versions 1.0.70 dated 2017-07-12 and 1.0.76 dated 2017-09-25

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Sun, 24 Sep 2017

Package spacetime updated to version 1.2-1 with previous version 1.2-0 dated 2016-09-03

Title: Classes and Methods for Spatio-Temporal Data
Description: Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.
Author: Edzer Pebesma [cre, aut], Benedikt Graeler [ctb], Tom Gottfried [ctb], Robert J. Hijmans [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package msaenet updated to version 2.7 with previous version 2.6 dated 2017-04-24

Title: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description: Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with additional support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
Author: Nan Xiao [aut, cre]
Maintainer: Nan Xiao <me@nanx.me>

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Package MatrixCorrelation updated to version 0.9.2 with previous version 0.9.1 dated 2017-05-05

Title: Matrix Correlation Coefficients
Description: Computation and visualization of matrix correlation coefficients. The main method is the Similarity of Matrices Index, while various related measures like r1, r2, r3, r4, Yanai's GCD, RV, RV2 and adjusted RV are included for comparison.
Author: Kristian Hovde Liland [aut, cre], Tormod Ns [ctb], Ulf Geir Indahl [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package HelpersMG updated to version 2.0 with previous version 1.9 dated 2017-03-12

Title: Tools for Earth Meteorological Analysis
Description: Contains many functions useful for managing 'NetCDF' files (see <http://en.wikipedia.org/wiki/NetCDF>), get tide levels on any point of the globe, get moon phase and time for sun rise and fall, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

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Package phenology updated to version 6.0 with previous version 5.4 dated 2017-03-12

Title: Tools to Manage a Parametric Function that Describes Phenology
Description: Functions used to fit and test the phenology of species based on counts.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@u-psud.fr>

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Package ICBayes updated to version 1.1 with previous version 1.0 dated 2015-11-28

Title: Bayesian Semiparametric Models for Interval-Censored Data
Description: Contains functions to fit Bayesian semiparametric regression survival models (proportional hazards model, proportional odds model, and probit model) to interval-censored time-to-event data.
Author: Chun Pan, Bo Cai, Lianming Wang, and Xiaoyan Lin
Maintainer: Chun Pan <chunpan2003@hotmail.com>

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Package smoothSurv updated to version 2.0 with previous version 1.6 dated 2015-07-27

Title: Survival Regression with Smoothed Error Distribution
Description: Contains, as a main contribution, a function to fit a regression model with possibly right, left or interval censored observations and with the error distribution expressed as a mixture of G-splines. Core part of the computation is done in compiled C++ written using the Scythe Statistical Library Version 0.3.
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>

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Package RcppGSL updated to version 0.3.3 with previous version 0.3.2 dated 2017-03-04

Title: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
Description: 'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package editData with initial version 0.1.0
Package: editData
Type: Package
Title: 'RStudio' Addin for Editing a 'data.frame'
Version: 0.1.0
Imports: shiny (>= 0.13), miniUI (>= 0.1.1), rstudioapi (>= 0.5), DT, tibble
Authors@R: person("Keon-Woong", "Moon", email = "cardiomoon@gmail.com", role = c("aut", "cre"))
Description: An 'RStudio' addin for editing a 'data.frame' or a 'tibble'. You can delete, add or update a 'data.frame' without coding. You can get resultant data as a 'tibble' or 'data.frame'.
URL: https://github.com/cardiomoon/editData
BugReports: https://github.com/cardiomoon/editData/issues
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-23 02:13:06 UTC; cardiomoon
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-24 14:50:49 UTC

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Package bayesSurv updated to version 3.1 with previous version 3.0 dated 2017-05-29

Title: Bayesian Survival Regression with Flexible Error and Random Effects Distributions
Description: Contains Bayesian implementations of Mixed-Effects Accelerated Failure Time (MEAFT) models for censored data. Those can be not only right-censored but also interval-censored, doubly-interval-censored or misclassified interval-censored.
Author: Arnošt Komárek <arnost.komarek@mff.cuni.cz>
Maintainer: Arnošt Komárek <arnost.komarek@mff.cuni.cz>

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Package scam updated to version 1.2-2 with previous version 1.2-1 dated 2017-02-16

Title: Shape Constrained Additive Models
Description: Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

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Package JGR updated to version 1.8-4 with previous version 1.8-3 dated 2017-09-22

Title: Java GUI for R
Description: Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.
Author: Markus Helbig <info@markushelbig.de>, Simon Urbanek, Ian Fellows
Maintainer: Markus Helbig <info@markushelbig.de>

Diff between JGR versions 1.8-3 dated 2017-09-22 and 1.8-4 dated 2017-09-24

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New package LMfilteR with initial version 0.1.0
Package: LMfilteR
Type: Package
Title: Filter Methods for Parameter Estimation in Linear Regression Models
Version: 0.1.0
Authors@R: c( person("Christian", "Llano Robayo", email = "cxl985@miami.edu", role = c("aut","cre")), person("Nazrul", "Shaikh", email = "n.shaikh@miami.edu", role = "aut") )
Description: We present a method based on filtering algorithms to estimate the parameters of linear regressions, i.e. the coefficients and the variance of the error term. The proposed algorithm makes use of Particle Filters following Ristic, B., Arulampalam, S., Gordon, N. (2004, ISBN: 158053631X) resampling methods.
License: GPL (>= 2)
Imports: MASS (>= 7.3-45), stats (>= 3.3.3)
Depends: R (>= 3.3.3)
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/ChrissCod/LMfilteR/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-23 15:24:31 UTC; cp
Author: Christian Llano Robayo [aut, cre], Nazrul Shaikh [aut]
Maintainer: Christian Llano Robayo <cxl985@miami.edu>
Repository: CRAN
Date/Publication: 2017-09-24 10:34:27 UTC

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Package castor updated to version 1.2.1 with previous version 1.2 dated 2017-09-23

Title: Efficient Phylogenetics on Large Trees
Description: Efficient tree manipulation functions including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distance matrices. Calculation of phylogenetic signal and mean trait depth (trait conservatism). Ancestral state reconstruction and hidden character prediction of discrete characters, using Maximum Likelihood and Maximum Parsimony methods. Simulating and fitting models of trait evolution, and generating random trees using birth-death models.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.2 dated 2017-09-23 and 1.2.1 dated 2017-09-24

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Package rwalkr updated to version 0.3.1 with previous version 0.3.0 dated 2017-09-02

Title: API to Melbourne Pedestrian Data
Description: Provides API to Melbourne pedestrian data in tidy data form.
Author: Earo Wang [aut, cre]
Maintainer: Earo Wang <earo.wang@gmail.com>

Diff between rwalkr versions 0.3.0 dated 2017-09-02 and 0.3.1 dated 2017-09-24

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Package Rdimtools updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-21

Title: Dimension Reduction and Estimation Methods
Description: We provide a rich collection of linear and nonlinear dimension reduction techniques implemented using 'RcppArmadillo'. The question on what we should use as the target dimension is addressed by intrinsic dimension estimation methods introduced as well. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader cross-disciplinary overview.
Author: Kisung You [aut, cre], Donggun Kim [aut], Yoon Mo Jung [rev]
Maintainer: Kisung You <kyou@nd.edu>

Diff between Rdimtools versions 0.1.0 dated 2017-09-21 and 0.1.1 dated 2017-09-24

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Package dparser updated to version 0.1.5 with previous version 0.1.4 dated 2017-09-22

Title: Port of Dparser Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <http://acl-arc.comp.nus.edu.sg/archives/acl-arc-090501d3/data/pdf/anthology-PDF/J/J87/J87-1004.pdf>). The original dparser package documentation can be found at <http://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Additionally you can parse an arbitrary grammar within R using the dparse() function, which works on most OSes and is mainly for grammar testing. The fastest parsing, of course, occurs at the C level, and is suggested.
Author: Matthew Fidler [aut, cre], John Plevyak [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 0.1.4 dated 2017-09-22 and 0.1.5 dated 2017-09-24

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Sat, 23 Sep 2017

Package ziphsmm updated to version 1.0.7 with previous version 1.0.6 dated 2017-06-07

Title: Zero-Inflated Poisson Hidden (Semi-)Markov Models
Description: Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.
Author: Zekun (Jack) Xu, Ye Liu
Maintainer: Zekun (Jack) Xu <zekunxu@gmail.com>

Diff between ziphsmm versions 1.0.6 dated 2017-06-07 and 1.0.7 dated 2017-09-23

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Package sensitivity updated to version 1.15.0 with previous version 1.14.0 dated 2017-02-10

Title: Global Sensitivity Analysis of Model Outputs
Description: A collection of functions for factor screening, global sensitivity analysis and reliability sensitivity analysis. Most of the functions have to be applied on model with scalar output, but several functions support multi-dimensional outputs.
Author: Gilles Pujol, Bertrand Iooss, Alexandre Janon with contributions from Khalid Boumhaout, Sebastien Da Veiga, Thibault Delage, Jana Fruth, Laurent Gilquin, Joseph Guillaume, Loic Le Gratiet, Paul Lemaitre, Barry L. Nelson, Filippo Monari, Roelof Oomen, Bernardo Ramos, Olivier Roustant, Eunhye Song, Jeremy Staum, Taieb Touati, Frank Weber
Maintainer: Bertrand Iooss <biooss@yahoo.fr>

Diff between sensitivity versions 1.14.0 dated 2017-02-10 and 1.15.0 dated 2017-09-23

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Package Rfast updated to version 1.8.4 with previous version 1.8.3 dated 2017-09-21

Title: Fast R Functions
Description: A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions.
Author: Manos Papadakis, Michail Tsagris, Marios Dimitriadis, Stefanos Fafalios, Ioannis Tsamardinos, Matteo Fasiolo, Giorgos Borboudakis, John Burkardt, Changliang Zou and Kleanthi Lakiotaki
Maintainer: Manos Papadakis <papadakm95@gmail.com>

Diff between Rfast versions 1.8.3 dated 2017-09-21 and 1.8.4 dated 2017-09-23

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Package dslabs updated to version 0.2.0 with previous version 0.1.0 dated 2017-07-14

Title: Data Science Labs
Description: Datasets and functions that facilitate data analysis labs in data science courses and workshops.
Author: Rafael A. Irizarry
Maintainer: Rafael A. Irizarry <rafa@jimmy.harvard.edu>

Diff between dslabs versions 0.1.0 dated 2017-07-14 and 0.2.0 dated 2017-09-23

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Package wikipediatrend updated to version 1.1.14 with previous version 1.1.10 dated 2016-03-20

Title: Public Subject Attention via Wikipedia Page View Statistics
Description: Public attention is an interesting field of study. The internet not only allows to access information in no time on virtually any subject but via page access statistics gathered by website authors the subject of attention as well can be studied.
Author: Peter Meissner [aut, cre], R Core Team [ctb]
Maintainer: Peter Meissner <retep.meissner@gmail.com>

Diff between wikipediatrend versions 1.1.10 dated 2016-03-20 and 1.1.14 dated 2017-09-23

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Package sparseFLMM updated to version 0.2.0 with previous version 0.1.1 dated 2017-06-08

Title: Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data
Description: Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.
Author: Jona Cederbaum
Maintainer: Jona Cederbaum <Jona.Cederbaum@stat.uni-muenchen.de>

Diff between sparseFLMM versions 0.1.1 dated 2017-06-08 and 0.2.0 dated 2017-09-23

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Package collapsibleTree updated to version 0.1.6 with previous version 0.1.5 dated 2017-07-23

Title: Interactive Collapsible Tree Diagrams using 'D3.js'
Description: Interactive Reingold-Tilford tree diagrams created using 'D3.js', where every node can be expanded and collapsed by clicking on it. Tooltips and color gradients can be mapped to nodes using a numeric column in the source data frame. See 'collapsibleTree' website for more information and examples.
Author: Adeel Khan [aut, cre], Dhrumin Shah [ctb], Mike Bostock [ctb, cph] (D3.js library, http://d3js.org)
Maintainer: Adeel Khan <AdeelK@gwu.edu>

Diff between collapsibleTree versions 0.1.5 dated 2017-07-23 and 0.1.6 dated 2017-09-23

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Package parlitools updated to version 0.2.1 with previous version 0.2.0 dated 2017-08-10

Title: Tools for Analysing UK Politics
Description: Provides various tools for analysing UK political data, including creating political cartograms and retrieving data.
Author: Evan Odell [aut, cre]
Maintainer: Evan Odell <evanodell91@gmail.com>

Diff between parlitools versions 0.2.0 dated 2017-08-10 and 0.2.1 dated 2017-09-23

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Package Zelig updated to version 5.1-4 with previous version 5.1-3 dated 2017-08-06

Title: Everyone's Statistical Software
Description: A framework that brings together an abundance of common statistical models found across packages into a unified interface, and provides a common architecture for estimation and interpretation, as well as bridging functions to absorb increasingly more models into the collective library. Zelig allows each individual package, for each statistical model, to be accessed by a common uniformly structured call and set of arguments. Moreover, Zelig automates all the surrounding building blocks of a statistical work-flow--procedures and algorithms that may be essential to one user's application but which the original package developer did not use in their own research and might not themselves support. These include bootstrapping, jackknifing, and re-weighting of data. In particular, Zelig automatically generates predicted and simulated quantities of interest (such as relative risk ratios, average treatment effects, first differences and predicted and expected values) to interpret and visualize complex models.
Author: Christine Choirat [aut], Christopher Gandrud [aut, cre], James Honaker [aut], Kosuke Imai [aut], Gary King [aut], Olivia Lau [aut], IQSS Harvard University [cph]
Maintainer: Christopher Gandrud <zelig.zee@gmail.com>

Diff between Zelig versions 5.1-3 dated 2017-08-06 and 5.1-4 dated 2017-09-23

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More information about Zelig at CRAN
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Package spatstat.utils updated to version 1.7-1 with previous version 1.7-0 dated 2017-08-09

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' package which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.utils versions 1.7-0 dated 2017-08-09 and 1.7-1 dated 2017-09-23

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Package apex updated to version 1.0.3 with previous version 1.0.2 dated 2016-03-31

Title: Phylogenetic Methods for Multiple Gene Data
Description: Toolkit for the analysis of multiple gene data. Apex implements the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle aligned DNA sequences from multiple genes.
Author: Thibaut Jombart [aut, cre], Zhian Namir Kamvar [aut], Klaus Schliep [aut], Eric Archer [aut], Rebecca Harris [aut]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

Diff between apex versions 1.0.2 dated 2016-03-31 and 1.0.3 dated 2017-09-23

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New package SensMap with initial version 0.1
Package: SensMap
Type: Package
Title: Sensory and Consumer Data Mapping
Version: 0.1
Date: 2017-09-13
Author: Ibtihel Rebhi [aut, cre], Rihab Boubakri [ctb], Dhafer Malouche [ctb]
Maintainer: Ibtihel Rebhi <ibtihel.rebhi@enit.utm.tn>
Description: Obtain external preference map to explain consumer preferences in function of sensory attributes of products (K.Greenhoff et al. (1994) <doi:10.1007/978-1-4615-2171-6_6>) with options in dimension reduction methods and prediction models from linear and non linear regressions. A smoothed version of the map is available and a comparison of maps stability from different features before and after smoothing is provided which may help industrials to make good decisions about characteristics of new product development. A 'shiny' application is included. It presents an easy GUI for the implemented functions as well as a comparative tool of fit models performance using several criteria. Basic analysis such as characterization of products, panelists and sessions likewise consumers segmentation are available.
Depends: R (>= 3.0.0), stats, grDevices, graphics
Imports: ggfortify, doBy, lattice, FactoMineR, MCMCpack, factoextra, fields, ggdendro, glmulti, mgcv, plotly, shiny, ggplot2
License: GPL (>= 2)
LazyData: TRUE
Suggests: testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-09-22 22:16:27 UTC; Admin
Repository: CRAN
Date/Publication: 2017-09-23 13:42:03 UTC

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New package pool with initial version 0.1.1
Package: pool
Type: Package
Title: Object Pooling
Version: 0.1.1
Authors@R: c( person("Barbara", "Borges", email = "barbara@rstudio.com", role = c("aut", "cre")), person(family = "RStudio", role = "cph") )
Description: Enables the creation of object pools, which make it less computationally expensive to fetch a new object. Currently the only supported pooled objects are 'DBI' connections.
License: GPL-3
Depends: R (>= 3.0.0), methods
Imports: DBI, R6, dplyr, dbplyr, later
Suggests: testthat, tibble, RSQLite
URL: https://github.com/rstudio/pool
BugReports: https://github.com/rstudio/pool/issues
LazyData: TRUE
Collate: 'utils.R' 'scheduler.R' 'pool.R' 'pool-methods.R' 'object.R' 'DBI.R' 'DBI-connection-interpolate.R' 'DBI-connection-quote.R' 'DBI-connection-sql.R' 'DBI-connection-transaction.R' 'DBI-connection.R' 'DBI-driver.R' 'DBI-object-deprecated.R' 'DBI-object.R' 'DBI-pool.R' 'dbplyr.R'
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 23:25:33 UTC; barbaraborges
Author: Barbara Borges [aut, cre], RStudio [cph]
Maintainer: Barbara Borges <barbara@rstudio.com>
Repository: CRAN
Date/Publication: 2017-09-23 13:57:29 UTC

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New package bomrang with initial version 0.0.7
Package: bomrang
Type: Package
Title: Fetch Australian Government Bureau of Meteorology Data
Version: 0.0.7
Authors@R: c(person("Adam", "Sparks", role = c("aut", "cre"), email = "adamhsparks@gmail.com", comment = "https://orcid.org/0000-0002-0061-8359"), person("Mark", "Padgham", role = "aut", email = "mark.padgham@email.com", comment = "https://orcid.org/0000-0003-2172-5265"), person("Hugh", "Parsonage", role = "aut", email = "hugh.parsonage@gmail.com", comment = "https://orcid.org/0000-0003-4055-0835"), person("Keith", "Pembleton", role = "aut", email = "keith.pembleton@usq.edu.au", comment = "https://orcid.org/0000-0002-1896-4516"), person("Scott", "Chamberlain", role = c("ctb", "cph"), email = "myrmecocystus@gmail.com", comment = "0000-0003-1444-9135"))
Description: Provides functions to interface with Australian Government Bureau of Meteorology (BoM) data, fetching data and returning a tidy data frame of précis forecasts, current weather data from stations, agriculture bulletin data, BoM 0900 or 1500 weather bulletins or a raster stack object of satellite imagery from GeoTIFF files. Data (c) Australian Government Bureau of Meteorology Creative Commons (CC) Attribution 3.0 licence or Public Access Licence (PAL) as appropriate. See <http://www.bom.gov.au/other/copyright.shtml> for further details.
URL: https://github.com/ropensci/bomrang
BugReports: https://github.com/ropensci/bomrang/issues
License: MIT + file LICENSE
Depends: R (>= 3.2.0)
Imports: curl (>= 2.8.1), data.table (>= 1.10.4), dplyr (>= 0.7.0), foreign, httr (>= 1.2.1), janitor, jsonlite (>= 1.5), magrittr (>= 1.5), raster, rgdal, rappdirs (>= 0.3.1), readr (>= 1.1.1), rlang (>= 0.1.1), rvest, tidyr (>= 0.6.3), utils, xml2 (>= 1.1.1)
Encoding: UTF-8
LazyData: true
Suggests: ccafs, covr, testthat, knitr, rmarkdown, ggplot2, ggthemes, grid, gridExtra, maps, mapproj
RoxygenNote: 6.0.1
NeedsCompilation: no
ByteCompile: TRUE
VignetteBuilder: knitr
Packaged: 2017-09-22 23:13:29 UTC; asparks
Author: Adam Sparks [aut, cre] (https://orcid.org/0000-0002-0061-8359), Mark Padgham [aut] (https://orcid.org/0000-0003-2172-5265), Hugh Parsonage [aut] (https://orcid.org/0000-0003-4055-0835), Keith Pembleton [aut] (https://orcid.org/0000-0002-1896-4516), Scott Chamberlain [ctb, cph] (0000-0003-1444-9135)
Maintainer: Adam Sparks <adamhsparks@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-23 13:31:31 UTC

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Package alfred updated to version 0.1.3 with previous version 0.1.1 dated 2017-06-10

Title: Downloading Time Series from ALFRED Database for Various Vintages
Description: Provides direct access to the ALFRED (<https://alfred.stlouisfed.org>) and FRED (<https://fred.stlouisfed.org>) databases. Its functions return tidy data frames for different releases of the specified time series. Note that this product uses the FRED© API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.
Author: Onno Kleen [aut, cre]
Maintainer: Onno Kleen <r@onnokleen.de>

Diff between alfred versions 0.1.1 dated 2017-06-10 and 0.1.3 dated 2017-09-23

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Package castor updated to version 1.2 with previous version 1.1 dated 2017-06-02

Title: Efficient Phylogenetics on Large Trees
Description: Efficient tree manipulation functions including pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distance matrices. Calculation of phylogenetic signal and mean trait depth (trait conservatism). Ancestral state reconstruction and hidden character prediction of discrete characters, using Maximum Likelihood and Maximum Parsimony methods. Simulating and fitting models of trait evolution, and generating random trees using birth-death models.
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>

Diff between castor versions 1.1 dated 2017-06-02 and 1.2 dated 2017-09-23

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Permanent link

Fri, 22 Sep 2017

Package Blaunet updated to version 2.0.6 with previous version 2.0.5 dated 2017-09-14

Title: Calculate and Analyze Blau Status for (Covert) Organizations
Description: An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to (covert) organizations. Relational (network) data can be incorporated for additional analyses. This project is supported by Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.
Author: Cheng Wang*, Michael Genkin*, George Berry, Liyuan Chen, Matthew Brashears *Both authors contributed equally to this work and their names are randomly ordered
Maintainer: Cheng Wang <cwang3@nd.edu>

Diff between Blaunet versions 2.0.5 dated 2017-09-14 and 2.0.6 dated 2017-09-22

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Package exams updated to version 2.3-0 with previous version 2.2-1 dated 2017-03-16

Title: Automatic Generation of Exams in R
Description: Automatic generation of exams based on exercises in Markdown or LaTeX format, possibly including R code for dynamic generation of exercise elements. Exercise types include single-choice and multiple-choice questions, arithmetic problems, string questions, and combinations thereof (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT, ...), Moodle XML, QTI 1.2 (for OLAT/OpenOLAT), QTI 2.1, Blackboard, ARSnova, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format (NOPS) is provided that can be printed, scanned, and automatically evaluated.
Author: Achim Zeileis [aut, cre], Bettina Gruen [aut], Friedrich Leisch [aut], Nikolaus Umlauf [aut], Niels Smits [ctb], Mirko Birbaumer [ctb], Dominik Ernst [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between exams versions 2.2-1 dated 2017-03-16 and 2.3-0 dated 2017-09-22

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More information about exams at CRAN
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Package JGR updated to version 1.8-3 with previous version 1.7-16 dated 2013-12-21

Title: Java GUI for R
Description: Java GUI for R - cross-platform, universal and unified Graphical User Interface for R. For full functionality on Windows and Mac OS X JGR requires a start application which depends on your OS.
Author: Markus Helbig <info@markushelbig.de>, Simon Urbanek, Ian Fellows
Maintainer: Markus Helbig <info@markushelbig.de>

Diff between JGR versions 1.7-16 dated 2013-12-21 and 1.8-3 dated 2017-09-22

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Package rprev updated to version 0.2.4 with previous version 0.2.3 dated 2017-02-13

Title: Estimating Disease Prevalence from Registry Data
Description: Estimates disease prevalence for a given index date, using existing registry data extended with Monte Carlo simulations.
Author: Simon Crouch [aut], Stephanie Lax [aut], Stuart Lacy [cre, aut]
Maintainer: Stuart Lacy <stuart.lacy@york.ac.uk>

Diff between rprev versions 0.2.3 dated 2017-02-13 and 0.2.4 dated 2017-09-22

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Package RcppClassic updated to version 0.9.8 with previous version 0.9.7 dated 2017-09-17

Title: Deprecated 'classic' Rcpp API
Description: The RcppClassic package provides a deprecated C++ library which facilitates the integration of R and C++. New projects should use the new Rcpp API in the Rcpp package.
Author: Dirk Eddelbuettel and Romain Francois, with contributions by David Reiss, and based on code written during 2005 and 2006 by Dominick Samperi
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppClassic versions 0.9.7 dated 2017-09-17 and 0.9.8 dated 2017-09-22

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Permanent link

Package dparser updated to version 0.1.4 with previous version 0.1.3 dated 2017-04-29

Title: Port of Dparser Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <http://acl-arc.comp.nus.edu.sg/archives/acl-arc-090501d3/data/pdf/anthology-PDF/J/J87/J87-1004.pdf>). The original dparser package documentation can be found at <http://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like NONMEM to automatically translate them to R code. To use this in your code, add a LinkingTo 'dparser' in your DESCRIPTION file and instead of using '#include <dparse.h>' use '#include <dparser.h>'. This also provides a R-based port of the make_dparser <http://dparser.sourceforge.net/d/make_dparser.cat> command called 'mkdparser'. Additionally you can parse an arbitrary grammar within R using the 'dparse' function.
Author: Matthew Fidler [aut, cre], John Plevyak [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package traits updated to version 0.3.0 with previous version 0.2.0 dated 2016-03-18

Title: Species Trait Data from Around the Web
Description: Species trait data from many different sources, including sequence data from 'NCBI', plant trait data from 'BETYdb', plant data from the USDA plants database, data from 'EOL' 'Traitbank', Coral traits data (<https://coraltraits.org>), 'Birdlife' International, and more.
Author: Scott Chamberlain [aut, cre], Zachary Foster [aut], Ignasi Bartomeus [aut], David LeBauer [aut], David Harris [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between traits versions 0.2.0 dated 2016-03-18 and 0.3.0 dated 2017-09-22

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Package showtext updated to version 0.5 with previous version 0.4-6 dated 2017-01-05

Title: Using Fonts More Easily in R Graphs
Description: Making it easy to use various types of fonts ('TrueType', 'OpenType', Type 1, web fonts, etc.) in R graphs, and supporting most output formats of R graphics including PNG, PDF and SVG. Text glyphs will be converted into polygons or raster images, hence after the plot has been created, it no longer relies on the font files. No external software such as 'Ghostscript' is needed to use this package.
Author: Yixuan Qiu and authors/contributors of the included software. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package rase updated to version 0.3-3 with previous version 0.3-2 dated 2017-03-22

Title: Range Ancestral State Estimation for Phylogeography and Comparative Analyses
Description: Implements the Range Ancestral State Estimation for phylogeography described in Quintero, I., Keil, P., Jetz, W., & Crawford, F. W. (2015) <DOI:10.1093/sysbio/syv057>. It also includes Bayesian inference of ancestral states under a Brownian Motion model of character evolution and Maximum Likelihood estimation of rase for n-dimensional data. Visualizing functions in 3D are implemented using the rgl package.
Author: Ignacio Quintero [aut, cre], Forrest W. Crawford [aut], Petr Keil [aut]
Maintainer: Ignacio Quintero <ignacio.quintero@yale.edu>

Diff between rase versions 0.3-2 dated 2017-03-22 and 0.3-3 dated 2017-09-22

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Package quanteda updated to version 0.99.9 with previous version 0.99 dated 2017-08-15

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package extraDistr updated to version 1.8.7 with previous version 1.8.6 dated 2017-06-28

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard t, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated Poisson.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+extraDistr@gmail.com>

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More information about extraDistr at CRAN
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Package qrcmNL (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-09-22 0.1.0

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Package rpsftm updated to version 1.2.0 with previous version 1.1.0 dated 2017-04-07

Title: Rank Preserving Structural Failure Time Models
Description: Implements methods described by the paper Robins and Tsiatis (1991) <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the causal effect of a treatment in a two-armed randomised control trial where non-compliance exists and is measured, under an assumption of an accelerated failure time model and no unmeasured confounders.
Author: Simon Bond [aut, cre] (primary author of code, secondary author of vignette), Annabel Allison [aut] (primary author of vignette, secondary author of code)
Maintainer: Simon Bond <simon.bond@addenbrookes.nhs.uk>

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New package USCF with initial version 0.1.3
Package: USCF
Type: Package
Title: Elo Rating of a USCF Member
Version: 0.1.3
Author: Joshua Rubin
Maintainer: Joshua Rubin <jdrubin@middlebury.edu>
Description: Given a U.S. Chess Federation ID number, the elo() function will return the classical Elo rating of that player. The function retrieves the information from the USCF website, making it easier for tournament directors at large tournaments to quickly retrieve the ratings of participants.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-22 16:53:04 UTC; Anatoly
Repository: CRAN
Date/Publication: 2017-09-22 17:24:20 UTC

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Package forega updated to version 1.0.2 with previous version 1.0 dated 2016-01-02

Title: Floating-Point Genetic Algorithms with Statistical Forecast Based Inheritance Operator
Description: The implemented algorithm performs a floating-point genetic algorithm search with a statistical forecasting operator that generates offspring which probably will be generated in future generations. Use of this operator enhances the search capabilities of floating-point genetic algorithms because offspring generated by usual genetic operators rapidly forecasted before performing more generations.
Author: Mehmet Hakan Satman
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

Diff between forega versions 1.0 dated 2016-01-02 and 1.0.2 dated 2017-09-22

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Package anomalyDetection updated to version 0.2.4 with previous version 0.2.3 dated 2017-09-14

Title: Implementation of Augmented Network Log Anomaly Detection Procedures
Description: Implements procedures to aid in detecting network log anomalies. By combining various multivariate analytic approaches relevant to network anomaly detection, it provides cyber analysts efficient means to detect suspected anomalies requiring further evaluation.
Author: Andrew McCarthy [aut, cre], Brandon Greenwell [aut], Bradley Boehmke [aut], Robert Gutierrez [aut], Kenneth Bauer [ctb], Trevor Bihl [ctb], Cade Saie [ctb]
Maintainer: Andrew McCarthy <andrew.mccarthy@theperducogroup.com>

Diff between anomalyDetection versions 0.2.3 dated 2017-09-14 and 0.2.4 dated 2017-09-22

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Package RcppCNPy updated to version 0.2.7 with previous version 0.2.6 dated 2016-09-26

Title: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description: The 'cnpy' library written by Carl Rogers provides read and write facilities for files created with (or for) the 'NumPy' extension for 'Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with -std=c++11 which is the default starting with release 0.2.3 following the release of R 3.1.0, and available on all platforms following the release of R 3.3.0 with the updated 'Rtools'.
Author: Dirk Eddelbuettel and Wush Wu
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppCNPy versions 0.2.6 dated 2016-09-26 and 0.2.7 dated 2017-09-22

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Package RBMRB updated to version 2.1.0 with previous version 2.0.4 dated 2017-03-03

Title: BMRB Data Access and Visualization
Description: The Biological Magnetic Resonance Data Bank (BMRB,<http:// www.bmrb.wisc.edu/>) collects, annotates, archives, and disseminates (worldwide in the public domain) the important spectral and quantitative data derived from NMR(Nuclear Magnetic Resonance) spectroscopic investigations of biological macromolecules and metabolites. This package provides an interface to BMRB database for easy data access and includes a minimal set of data visualization functions. Users are encouraged to make their own data visualizations using BMRB data.
Author: Kumaran Baskaran
Maintainer: Kumaran Baskaran<kbaskaran@bmrb.wisc.edu>

Diff between RBMRB versions 2.0.4 dated 2017-03-03 and 2.1.0 dated 2017-09-22

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New package OBMbpkg with initial version 1.0.0
Package: OBMbpkg
Type: Package
Title: Estimate the Population Size for the Mb Capture-Recapture Model
Version: 1.0.0
Date: 2017-09-22
Author: Dan Zheng
Maintainer: John Snyder <jcs8v6@mail.missouri.edu>
Description: Applies an objective Bayesian method to the Mb capture-recapture model to estimate the population size N. The Mb model is a class of capture-recapture methods used to account for variations in capture probability due to animal behavior. Under the Mb formulation, the initial capture of an animal may effect the probability of subsequent captures due to their becoming "trap happy" or "trap shy."
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: stats
NeedsCompilation: no
Packaged: 2017-09-22 15:58:31 UTC; jcs8v_000
Repository: CRAN
Date/Publication: 2017-09-22 16:53:15 UTC

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New package mosaicModel with initial version 0.3.0
Package: mosaicModel
Type: Package
Title: An Interface to Statistical Modeling Independent of Model Architecture
Version: 0.3.0
Author: Kaplan Daniel [aut, cre], Pruim Randall [aut, cre]
Maintainer: Daniel Kaplan <kaplan@macalester.edu>
Description: Provides functions for evaluating, displaying, and interpreting statistical models. The goal is to abstract the operations on models from the particular architecture of the model. For instance, calculating effect sizes rather than looking at coefficients. The package includes interfaces to both regression and classification architectures, including lm(), glm(), rlm() in 'MASS', random forests and recursive partitioning, k-nearest neighbors, linear and quadratic discriminant analysis, and models produced by the 'caret' package's train(). It's straightforward to add in other other model architectures.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
LazyLoad: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.1), mosaicCore, splines, dplyr
Imports: caret, ggplot2, ggformula, lazyeval, knitr, MASS, testthat, tibble, tidyr, tidyverse
Suggests: mosaic, mosaicData, randomForest, rpart
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-22 16:14:02 UTC; kaplan
Repository: CRAN
Date/Publication: 2017-09-22 16:21:41 UTC

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Package MBESS updated to version 4.4.0 with previous version 4.3.0 dated 2017-06-06

Title: The MBESS R Package
Description: Implements methods that useful in designing research studies and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but at this point MBESS contains methods applicable and used in a wide variety of fields and is an orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has greatly benefited from others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed list of those that have contributed and other details.
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between MBESS versions 4.3.0 dated 2017-06-06 and 4.4.0 dated 2017-09-22

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New package GPPFourier with initial version 2.1
Package: GPPFourier
Version: 2.1
Title: Calculate Gross Primary Production (GPP) from O2 Time Series
Author: Tom Cox <tom.cox@uantwerp.be>
Maintainer: Tom Cox <tom.cox@uantwerp.be>
Description: Implementation of the Fourier method to estimate aquatic gross primary production from high frequency oxygen data, described in Cox, et al (2015) <doi:10.1002/lom3.10046> and Cox, et al (2017) <doi:10.5194/bg-2017-81>.
License: GPL
LazyData: yes
Imports: Tides, mFilter
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-20 07:15:16 UTC; tom
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2017-09-22 16:17:01 UTC

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Package VarSelLCM updated to version 2.0 with previous version 1.2 dated 2015-06-10

Title: Variable Selection for Model-Based Clustering of Continuous, Count, Categorical or Mixed-Type Data Set with Missing Values
Description: Variable Selection for model-based clustering managed by the Latent Class Model. This model analyses mixed-type data (data with continuous and/ or count and/or categorical variables) with missing values (missing at random) by assuming independence between classes. The one-dimensional marginals of the components follow standard distributions for facilitating both the model interpretation and the model selection. The variable selection is led by an alternated optimization procedure for maximizing the Maximum Integrated Complete-data Likelihood criterion. The maximum likelihood inference is done by an EM algorithm for the selected model. This package also performs the imputation of missing values by taking the expectation of the missing values conditionally on the model, its parameters and on the observed variables.
Author: Matthieu Marbac and Mohammed Sedki
Maintainer: Mohammed Sedki <mohammed.sedki@u-psud.fr>

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Package shapes updated to version 1.2.1 with previous version 1.2.0 dated 2017-02-02

Title: Statistical Shape Analysis
Description: Routines for the statistical analysis of landmark shapes, including Procrustes analysis, graphical displays, principal components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices. See Dryden, I.L. and Mardia, K.V. (2016). Statistical shape analysis, with Applications in R (2nd Edition), John Wiley and Sons.
Author: Ian L. Dryden
Maintainer: Ian Dryden <ian.dryden@nottingham.ac.uk>

Diff between shapes versions 1.2.0 dated 2017-02-02 and 1.2.1 dated 2017-09-22

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 MD5                        |   64 ++++++++++++++++++++++-----------------------
 R/shapes.R                 |    5 ++-
 data/apes.rda              |binary
 data/brains.rda            |binary
 data/cortical.rda          |binary
 data/digit3.dat.rda        |binary
 data/dna.dat.rda           |binary
 data/gels.rda              |binary
 data/gorf.dat.rda          |binary
 data/gorm.dat.rda          |binary
 data/humanmove.rda         |binary
 data/macaques.rda          |binary
 data/macf.dat.rda          |binary
 data/macm.dat.rda          |binary
 data/mice.rda              |binary
 data/nsa.rda               |binary
 data/panf.dat.rda          |binary
 data/panm.dat.rda          |binary
 data/pongof.dat.rda        |binary
 data/pongom.dat.rda        |binary
 data/protein.rda           |binary
 data/qcet2.dat.rda         |binary
 data/qlet2.dat.rda         |binary
 data/qset2.dat.rda         |binary
 data/rats.rda              |binary
 data/sand.rda              |binary
 data/schizophrenia.dat.rda |binary
 data/schizophrenia.rda     |binary
 data/shells.rda            |binary
 data/sooty.dat.rda         |binary
 data/sooty.rda             |binary
 data/steroids.rda          |binary
 33 files changed, 41 insertions(+), 40 deletions(-)

More information about shapes at CRAN
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Package rlas updated to version 1.1.5 with previous version 1.1.4 dated 2017-06-27

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.3.
Author: Jean-Romain Roussel [aut, cre, cph], Martin Isenburg [cph] (Is the author of the LASlib and LASzip libraries), David Auty [ctb] (Reviewed the documentation), Pierrick Marie [ctb] (Helped to compile LASlib code in R), Florian De Boissieu [ctb] (Enable support of .lax file)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.1.4 dated 2017-06-27 and 1.1.5 dated 2017-09-22

 rlas-1.1.4/rlas/src/include              |only
 rlas-1.1.5/rlas/DESCRIPTION              |    9 
 rlas-1.1.5/rlas/MD5                      |  169 +++++----
 rlas-1.1.5/rlas/NAMESPACE                |    1 
 rlas-1.1.5/rlas/NEWS.md                  |   15 
 rlas-1.1.5/rlas/R/RcppExports.R          |   22 -
 rlas-1.1.5/rlas/R/readLAS.r              |  104 ++++--
 rlas-1.1.5/rlas/R/writeLAX.r             |only
 rlas-1.1.5/rlas/README.md                |    2 
 rlas-1.1.5/rlas/inst/include             |only
 rlas-1.1.5/rlas/man/readlasdata.Rd       |   31 -
 rlas-1.1.5/rlas/man/writelax.Rd          |only
 rlas-1.1.5/rlas/src/Makevars             |    5 
 rlas-1.1.5/rlas/src/Makevars.win         |    5 
 rlas-1.1.5/rlas/src/RcppExports.cpp      |   88 ++++-
 rlas-1.1.5/rlas/src/init.c               |   24 -
 rlas-1.1.5/rlas/src/point_in_polygon.cpp |only
 rlas-1.1.5/rlas/src/readLAS.cpp          |  529 ++++++++++++++-----------------
 rlas-1.1.5/rlas/src/readheader.cpp       |only
 rlas-1.1.5/rlas/src/writeLAS.cpp         |    4 
 rlas-1.1.5/rlas/src/writeLAX.cpp         |only
 21 files changed, 544 insertions(+), 464 deletions(-)

More information about rlas at CRAN
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