Sat, 18 Feb 2017

Package mice updated to version 2.30 with previous version 2.25 dated 2015-11-09

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Alexander Robitzsch [ctb], Gerko Vink [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Rianne Schouten [ctb], Philipp Gaffert [ctb], Florian Meinfelder [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

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More information about mice at CRAN
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Package helsinki updated to version 0.9.29 with previous version 0.9.27 dated 2015-05-06

Title: R Tools for Helsinki Open Data
Description: Tools for accessing various open data sources in the Helsinki region in Finland. Current data sources include the Real Estate Department (<http://ptp.hel.fi/avoindata/>), Service Map API (<http://api.hel.fi/servicemap/v1/>), Linked Events API (<http://api.hel.fi/linkedevents/v0.1/>), Helsinki Region Infoshare statistics API (<https://dev.hel.fi/stats/>).
Author: Juuso Parkkinen, Leo Lahti, Joona Lehtomaki
Maintainer: Juuso Parkkinen <juuso.parkkinen@iki.fi>

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Package gets updated to version 0.12 with previous version 0.11 dated 2017-02-17

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package bioimagetools updated to version 1.1.0 with previous version 1.0.0 dated 2016-12-01

Title: Tools for Microscopy Imaging
Description: Tools for 3D imaging, mostly for biology/microscopy. Read and write TIFF stacks. Functions for segmentation, filtering and analysing 3D point patterns.
Author: Volker Schmid [aut, cre], Priyanka Kukreja [ctb], Fabian Scheipl [ctb]
Maintainer: Volker Schmid <stats@volkerschmid.de>

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More information about bioimagetools at CRAN
Permanent link

Package yorkr updated to version 0.0.7 with previous version 0.0.6 dated 2017-01-06

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <http://cricsheet.org>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between yorkr versions 0.0.6 dated 2017-01-06 and 0.0.7 dated 2017-02-18

 DESCRIPTION                        |    6 +++---
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 R/saveAllMatchesAllOpposition.R    |   12 ++++++++----
 R/saveAllMatchesBetweenTeams.R     |   12 ++++++++----
 man/saveAllMatchesAllOpposition.Rd |    5 ++++-
 man/saveAllMatchesBetweenTeams.Rd  |    5 ++++-
 6 files changed, 32 insertions(+), 18 deletions(-)

More information about yorkr at CRAN
Permanent link

Package stringr updated to version 1.2.0 with previous version 1.1.0 dated 2016-08-19

Title: Simple, Consistent Wrappers for Common String Operations
Description: A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
Author: Hadley Wickham [aut, cre, cph], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between stringr versions 1.1.0 dated 2016-08-19 and 1.2.0 dated 2017-02-18

 DESCRIPTION                       |   14 +-
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 NAMESPACE                         |    1 
 NEWS.md                           |   33 ++++
 R/case.R                          |   11 -
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More information about stringr at CRAN
Permanent link

New package randgeo with initial version 0.1.0
Package: randgeo
Title: Generate Random 'WKT' or 'GeoJSON'
Description: Generate random positions (latitude/longitude), Well-known text (WKT) points or polygons, or 'GeoJSON' points or polygons.
Version: 0.1.0
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com")
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ropensci/randgeo
BugReports: https://github.com/ropensci/randgeo/issues
VignetteBuilder: knitr
Suggests: roxygen2 (>= 6.0.1), rmarkdown, knitr, testthat, covr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-17 23:56:32 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-18 21:23:04

More information about randgeo at CRAN
Permanent link

Package mixtox updated to version 1.3.2 with previous version 1.3.1 dated 2016-07-14

Title: Curve Fitting and Mixture Toxicity Assessment
Description: Curve Fitting for monotonic(sigmoidal) & non-monotonic(J-shaped) concentration-response data. Prediction of mixture toxicity based on reference models such as 'concentration addition', 'independent action', and 'generalized concentration addition'.
Author: Xiangwei Zhu
Maintainer: Xiangwei Zhu <xwzhunc@gmail.com>

Diff between mixtox versions 1.3.1 dated 2016-07-14 and 1.3.2 dated 2017-02-18

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More information about mixtox at CRAN
Permanent link

New package merDeriv with initial version 0.1-1
Package: merDeriv
Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Version: 0.1-1
Authors@R: c(person(given = "Ting", family = "Wang", role = c("aut", "cre"), email = "twb8d@mail.missouri.edu"), person(given = "Edgar", family = "Merkle", role = c("aut"), email = "merklee@missouri.edu") )
Description: Compute analytic case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance.
Depends: R (>= 3.2.3)
Imports: methods, stats, utils, sandwich, Matrix, lme4, nonnest2
License: GPL (>= 2)
LazyData: yes
URL: http://semtools.r-forge.r-project.org
NeedsCompilation: no
Author: Ting Wang [aut, cre], Edgar Merkle [aut]
Maintainer: Ting Wang <twb8d@mail.missouri.edu>
Packaged: 2017-02-17 23:01:17 UTC; ting
Repository: CRAN
Date/Publication: 2017-02-18 21:23:01

More information about merDeriv at CRAN
Permanent link

Package GHap updated to version 1.2.2 with previous version 1.2.1 dated 2016-06-13

Title: Genome-Wide Haplotyping
Description: Haplotype calling from phased SNP data.
Author: Yuri Tani Utsunomiya, Marco Milanesi
Maintainer: Yuri Tani Utsunomiya <ytutsunomiya@gmail.com>

Diff between GHap versions 1.2.1 dated 2016-06-13 and 1.2.2 dated 2017-02-18

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More information about GHap at CRAN
Permanent link

New package encode with initial version 0.2
Package: encode
Type: Package
Title: Represent Ordered Lists and Pairs as Strings
Version: 0.2
Date: 2017-02-18
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Interconverts between ordered lists and compact string notation. Useful for capturing code lists, and pair-wise codes and decodes, for text storage. Analogous to factor levels and labels. Generics 'encode' and 'decode' perform interconversion, while 'codes' and 'decodes' extract components of an encoding. The function 'encoded' checks whether something is interpretable as an encoding.
License: GPL-3
LazyData: TRUE
Imports:
Suggests:
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-18 16:09:26 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-02-18 21:22:59

More information about encode at CRAN
Permanent link

New package csv with initial version 0.3
Package: csv
Type: Package
Title: Read and Write CSV Files with Selected Conventions
Version: 0.3
Date: 2017-02-18
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: Reads and writes CSV with selected conventions. Uses the same generic function for reading and writing to promote consistent formats.
License: GPL-3
LazyData: TRUE
Imports:
Suggests:
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-18 14:04:32 UTC; tbergsma
Repository: CRAN
Date/Publication: 2017-02-18 21:22:58

More information about csv at CRAN
Permanent link

Package AutoDeskR updated to version 0.1.2 with previous version 0.1.1 dated 2016-11-11

Title: An Interface to the 'AutoDesk' 'API' Platform
Description: An interface to the 'AutoDesk' 'API' Platform including the Authentication 'API' for obtaining authentication to the 'AutoDesk' Forge Platform, Data Management 'API' for managing data across the platform's cloud services, Design Automation 'API' for performing automated tasks on design files in the cloud, Model Derivative 'API' for translating design files into different formats, sending them to the viewer app, and extracting design data, and Viewer for rendering 2D and 3D models (see <https://developer.autodesk.com> for more information).
Author: Paul Govan [aut, cre]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>

Diff between AutoDeskR versions 0.1.1 dated 2016-11-11 and 0.1.2 dated 2017-02-18

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More information about AutoDeskR at CRAN
Permanent link

Package AMCP updated to version 0.0.4 with previous version 0.0.3 dated 2017-01-23

Title: A Model Comparison Perspective
Description: Accompanies "Designing experiments and analyzing data: A model comparison perspective" (3rd ed.) by Maxwell, Delaney, & Kelley (forthcoming from Routledge). Contains all of the data sets in the book's chapters and end-of-chapter exercises. Information about the book is available at <http://www.DesigningExperiments.com>.
Author: Scott Maxwell [aut], Harold Delaney [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between AMCP versions 0.0.3 dated 2017-01-23 and 0.0.4 dated 2017-02-18

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 AMCP-0.0.4/AMCP/data/C9T1.rda                              |only
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 AMCP-0.0.4/AMCP/data/T1T1.rda                              |only
 AMCP-0.0.4/AMCP/data/T2T1.rda                              |only
 AMCP-0.0.4/AMCP/data/T2T2.rda                              |only
 AMCP-0.0.4/AMCP/data/T3AT1.rda                             |only
 AMCP-0.0.4/AMCP/data/T3AT2.rda                             |only
 AMCP-0.0.4/AMCP/data/T3AT4.rda                             |only
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 AMCP-0.0.4/AMCP/data/tutorial_3a_table_5.rda               |only
 AMCP-0.0.4/AMCP/man/AMCP-package.Rd                        |   50 -
 AMCP-0.0.4/AMCP/man/chapter_10_exercise_14.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_10_exercise_7.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_10_exercise_9.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_10_table_5.Rd                  |   72 +
 AMCP-0.0.4/AMCP/man/chapter_10_table_9.Rd                  |   65 +
 AMCP-0.0.4/AMCP/man/chapter_11_exercise_17.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_11_exercise_18.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_11_exercise_19.Rd              |only
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 AMCP-0.0.4/AMCP/man/chapter_11_exercise_3.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_11_exercise_5.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_11_table_1.Rd                  |   71 +
 AMCP-0.0.4/AMCP/man/chapter_11_table_19.Rd                 |   76 +
 AMCP-0.0.4/AMCP/man/chapter_11_table_20.Rd                 |   76 +
 AMCP-0.0.4/AMCP/man/chapter_11_table_4.Rd                  |   73 +
 AMCP-0.0.4/AMCP/man/chapter_11_table_5.Rd                  |   71 +
 AMCP-0.0.4/AMCP/man/chapter_12_exercise_17.Rd              |only
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 AMCP-0.0.4/AMCP/man/chapter_12_exercise_19.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_12_exercise_21.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_12_exercise_9.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_12_table_1.Rd                  |   80 +-
 AMCP-0.0.4/AMCP/man/chapter_12_table_11.Rd                 |   69 +
 AMCP-0.0.4/AMCP/man/chapter_12_table_15.Rd                 |   71 +
 AMCP-0.0.4/AMCP/man/chapter_12_table_21.Rd                 |   81 +-
 AMCP-0.0.4/AMCP/man/chapter_12_table_7.Rd                  |   71 +
 AMCP-0.0.4/AMCP/man/chapter_12_table_9.Rd                  |   69 +
 AMCP-0.0.4/AMCP/man/chapter_13_exercise_10.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_13_exercise_13.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_13_exercise_14.Rd              |only
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 AMCP-0.0.4/AMCP/man/chapter_13_exercise_7.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_13_table_1.Rd                  |   71 +
 AMCP-0.0.4/AMCP/man/chapter_13_table_12.Rd                 |  111 ++
 AMCP-0.0.4/AMCP/man/chapter_13_table_14.Rd                 |   69 +
 AMCP-0.0.4/AMCP/man/chapter_13_table_2.Rd                  |   71 +
 AMCP-0.0.4/AMCP/man/chapter_13_table_5.Rd                  |   73 +
 AMCP-0.0.4/AMCP/man/chapter_14_exercise_10.Rd              |only
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 AMCP-0.0.4/AMCP/man/chapter_14_exercise_15.Rd              |only
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 AMCP-0.0.4/AMCP/man/chapter_14_exercise_22.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_14_table_1.Rd                  |   73 +
 AMCP-0.0.4/AMCP/man/chapter_14_table_10.Rd                 |   77 +
 AMCP-0.0.4/AMCP/man/chapter_14_table_3.Rd                  |   75 +
 AMCP-0.0.4/AMCP/man/chapter_14_table_4.Rd                  |   77 +
 AMCP-0.0.4/AMCP/man/chapter_14_table_5.Rd                  |   75 +
 AMCP-0.0.4/AMCP/man/chapter_14_table_8.Rd                  |   75 +
 AMCP-0.0.4/AMCP/man/chapter_15_exercise_16.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_15_exercise_17.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_15_exercise_18.Rd              |only
 AMCP-0.0.4/AMCP/man/chapter_15_exercise_18_univariate.Rd   |only
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 AMCP-0.0.4/AMCP/man/chapter_15_exercise_19_univariate.Rd   |only
 AMCP-0.0.4/AMCP/man/chapter_15_table_1.Rd                  |   74 +
 AMCP-0.0.4/AMCP/man/chapter_16_exercise_5.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_16_exercise_7.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_16_exercise_9.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_16_table_1.Rd                  |   70 +
 AMCP-0.0.4/AMCP/man/chapter_16_table_4.Rd                  |   80 +-
 AMCP-0.0.4/AMCP/man/chapter_1_exercise_18.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_1_exercise_19.Rd               |only
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 AMCP-0.0.4/AMCP/man/chapter_1_exercise_23.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_1_table_1.Rd                   |   78 +
 AMCP-0.0.4/AMCP/man/chapter_3_exercise_10.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_3_exercise_11.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_3_exercise_19.Rd               |only
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 AMCP-0.0.4/AMCP/man/chapter_3_exercise_9.Rd                |only
 AMCP-0.0.4/AMCP/man/chapter_3_table_1.Rd                   |   66 +
 AMCP-0.0.4/AMCP/man/chapter_3_table_3.Rd                   |   65 +
 AMCP-0.0.4/AMCP/man/chapter_3_table_7_raw.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_3_table_9_raw.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_4_exercise_11.Rd               |only
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 AMCP-0.0.4/AMCP/man/chapter_4_exercise_13.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_4_table_1.Rd                   |   87 +-
 AMCP-0.0.4/AMCP/man/chapter_4_table_7.Rd                   |   68 +
 AMCP-0.0.4/AMCP/man/chapter_5_exercise_10.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_5_exercise_16.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_5_exercise_5.Rd                |only
 AMCP-0.0.4/AMCP/man/chapter_5_table_4.Rd                   |   70 +
 AMCP-0.0.4/AMCP/man/chapter_6_exercise_10.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_6_exercise_14.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_6_exercise_16.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_6_table_1.Rd                   |   69 +
 AMCP-0.0.4/AMCP/man/chapter_7_exercise_12.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_7_exercise_13.Rd               |only
 AMCP-0.0.4/AMCP/man/chapter_7_exercise_14.Rd               |only
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Package pdfetch updated to version 0.1.8 with previous version 0.1.7 dated 2015-07-18

Title: Fetch Economic and Financial Time Series Data from Public Sources
Description: Download economic and financial time series from public sources, including the St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor Statistics, the US Energy Information Administration, the World Bank, Eurostat, the European Central Bank, the Bank of England, the UK's Office of National Statistics, and INSEE.
Author: Abiel Reinhart <abielr@gmail.com>
Maintainer: Abiel Reinhart <abielr@gmail.com>

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Package msaenet updated to version 2.4 with previous version 2.3 dated 2017-02-10

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 ALA4R updated to version 1.5.6 with previous version 1.5.3 dated 2016-11-09

Title: Atlas of Living Australia (ALA) Data and Resources in R
Description: The Atlas of Living Australia (ALA) provides tools to enable users of biodiversity information to find, access, combine and visualise data on Australian plants and animals; these have been made available from <http://ala.org.au/>. ALA4R provides a subset of the tools to be directly used within R. It enables the R community to directly access data and resources hosted by the ALA. Our goal is to enable outputs (e.g. observations of species) to be queried and output in a range of standard formats.
Author: Ben Raymond [aut, cre], Jeremy VanDerWal [aut], Lee Belbin [aut], Michael Sumner [ctb], Tom August [ctb], John Baumgartner [ctb]
Maintainer: Ben Raymond <ben_ala@untan.gl>

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