Tue, 07 Nov 2017

Package MittagLeffleR updated to version 0.2.0 with previous version 0.1.0 dated 2017-06-15

Title: The Mittag-Leffler Distribution
Description: Calculates Mittag-Leffler probabilities and the Mittag-Leffler function, generates Mittag-Leffler random variables, and fits the Mittag-Leffler distribution to data. Based on the algorithm by Garrappa, R. (2015) <doi:10.1137/140971191>.
Author: Gurtek Gill [aut], Peter Straka [aut, cre]
Maintainer: Peter Straka <p.straka@unsw.edu.au>

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Package tidyverse updated to version 1.2.0 with previous version 1.1.1 dated 2017-01-27

Title: Easily Install and Load the 'Tidyverse'
Description: The 'tidyverse' is a set of packages that work in harmony because they share common data representations and 'API' design. This package is designed to make it easy to install and load multiple 'tidyverse' packages in a single step. Learn more about the 'tidyverse' at <https://tidyverse.org>.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package rEDM updated to version 0.6.5 with previous version 0.5.4 dated 2016-11-15

Title: Applications of Empirical Dynamic Modeling from Time Series
Description: A new implementation of EDM algorithms based on research software previously developed for internal use in the Sugihara Lab (UCSD/SIO). Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described in Sugihara et al. (2012) <DOI:10.1126/science.1227079> and multiview embedding as described in Ye & Sugihara (2016) <DOI:10.1126/science.aag0863>.
Author: Hao Ye [aut, cre], Adam Clark [aut], Ethan Deyle [aut], Steve Munch [aut], Oliver Keyes [ctb], Jun Cai [ctb], Ethan White [ctb], Jane Cowles [ctb], James Stagge [ctb], Yair Daon [ctb], George Sugihara [ctb, ccp]
Maintainer: Hao Ye <hao.ye@weecology.org>

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Package pcnetmeta updated to version 2.6 with previous version 2.5 dated 2017-08-13

Title: Patient-Centered Network Meta-Analysis
Description: Performs arm-based network meta-analysis for datasets with binary, continuous, and count outcomes using the Bayesian methods of Zhang et al (2014) <doi:10.1177/1740774513498322> and Lin et al (2017) <doi:10.18637/jss.v080.i05>.
Author: Lifeng Lin, Jing Zhang, and Haitao Chu
Maintainer: Lifeng Lin <linl@stat.fsu.edu>

Diff between pcnetmeta versions 2.5 dated 2017-08-13 and 2.6 dated 2017-11-07

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Package covr updated to version 3.0.1 with previous version 3.0.0 dated 2017-06-26

Title: Test Coverage for Packages
Description: Track and report code coverage for your package and (optionally) upload the results to a coverage service like 'Codecov' <http://codecov.io> or 'Coveralls' <http://coveralls.io>. Code coverage is a measure of the amount of code being exercised by a set of tests. It is an indirect measure of test quality and completeness. This package is compatible with any testing methodology or framework and tracks coverage of both R code and compiled C/C++/FORTRAN code.
Author: Jim Hester [aut, cre], Willem Ligtenberg [ctb], Kirill Müller [ctb], Henrik Bengtsson [ctb], Steve Peak [ctb], Kirill Sevastyanenko [ctb], Jon Clayden [ctb], Robert Flight [ctb], Eric Brown [ctb], Brodie Gaslam [ctb], Will Beasley [ctb], Robert Krzyzanowski [ctb], Markus Wamser [ctb], Karl Forner [ctb], Gergely Daróczi [ctb], Jouni Helske [ctb], Kun Ren [ctb], Jeroen Ooms [ctb], Ken Williams [ctb], Chris Campbell [ctb], David Hugh-Jones [ctb], Qin Wang [ctb]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package metScanR updated to version 1.1.1 with previous version 1.1.0 dated 2017-10-31

Title: Find, Map, and Gather Environmental Data and Metadata
Description: A tool for locating, mapping, and gathering environmental data and metadata, worldwide. Users can search for and filter metadata from > 107,000 environmental monitoring stations among 219 countries/territories and >20 networks/organizations via elevation, location, active dates, elements measured (e.g., temperature, precipitation), country, network, and/or known identifier. Future updates to the package will allow the user to obtain datasets from stations within the database.
Author: Josh Roberti [aut, cre], Cody Flagg [aut], Lee Stanish [aut], Robert Lee [aut], Sam Weintraub [ctb], Derek Smith [ctb]
Maintainer: Josh Roberti <jaroberti87@gmail.com>

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New package utf8 with initial version 1.0.0
Package: utf8
Version: 1.0.0
Title: Unicode Text Processing
Authors@R: c( person(c("Patrick", "O."), "Perry", role = c("aut", "cph", "cre"), email = "pperry@stern.nyu.edu"), person("Unicode, Inc.", role = c("cph", "dtc"), comment = "Unicode Character Database"))
Depends: R (>= 2.10)
Suggests: corpus, knitr, testthat
Description: Processing and printing 'UTF-8' encoded international text (Unicode). Functions to input, validate, normalize, encode, format, and display.
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/patperry/r-utf8
BugReports: https://github.com/patperry/r-utf8/issues
LazyData: Yes
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-11-06 21:00:56 UTC; ptrck
Author: Patrick O. Perry [aut, cph, cre], Unicode, Inc. [cph, dtc] (Unicode Character Database)
Maintainer: Patrick O. Perry <pperry@stern.nyu.edu>
Repository: CRAN
Date/Publication: 2017-11-07 18:26:59 UTC

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New package UniIsoRegression with initial version 0.0-0
Package: UniIsoRegression
Type: Package
Version: 0.0-0
Date: 2017-10-25
Title: Unimodal and Isotonic L1, L2 and Linf Regression
Author: Zhipeng Xu <xzhipeng@umich.edu>, Chenkai Sun <sunchenk@umich.edu>, Aman Karunakaran <akarunak@umich.edu>, Quentin Stout<qstout@umich.edu>
Maintainer: Zhipeng Xu <xzhipeng@umich.edu>
Description: Perform L1 or L2 isotonic and unimodal regression on 1D weighted or unweighted input vector and isotonic regression on 2D weighted or unweighted input vector. It also performs L infinity isotonic and unimodal regression on 1D unweighted input vector. Reference: Quentin F. Stout (2008) <doi:10.1016/j.csda.2008.08.005>. Spouge, J., Wan, H. & Wilbur, W.(2003) <doi:10.1023/A:1023901806339>. Q.F. Stout (2013) <doi:10.1007/s00453-012-9628-4>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.11)
LinkingTo: Rcpp
RoxygenNote: 6.0.1
URL: https://github.com/xzp1995/UniIsoRegression
NeedsCompilation: yes
Packaged: 2017-11-07 17:34:46 UTC; vagrant
Repository: CRAN
Date/Publication: 2017-11-07 18:15:14 UTC

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New package ess with initial version 0.0.1
Package: ess
Title: Download Data from the European Social Survey on the Fly
Version: 0.0.1
Authors@R: person("Jorge", "Cimentada", email = "cimentadaj@gmail.com", role = c("aut", "cre"))
Description: Download data from the European Social Survey directly from their website <http://www.europeansocialsurvey.org/>. There are two family of functions that allow you to download and interactively check all countries and rounds available.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: XML, xml2, httr, stringr, haven
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-07 14:26:33 UTC; cimentadaj
Author: Jorge Cimentada [aut, cre]
Maintainer: Jorge Cimentada <cimentadaj@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-07 18:02:46 UTC

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New package changepointsHD with initial version 0.3.0
Package: changepointsHD
Type: Package
Title: Change-Point Estimation for Expensive and High-Dimensional Models
Version: 0.3.0
Date: 2017-11-06
Author: Leland Bybee
Maintainer: Leland Bybee <lelandb@umich.edu>
Description: This implements the methods developed in, L. Bybee and Y. Atchade. (2017) <arXiv:1707.04306>. Contains a series of methods for estimating change-points given user specified black-box models. The methods include binary segmentation for multiple change-point estimation. For estimating each individual change-point the package includes simulated annealing, brute force, and, for Gaussian graphical models, an application specific rank-one update implementation. Additionally, code for estimating Gaussian graphical models is included. The goal of this package is to allow for the efficient estimation of change-points in complicated models with high dimensional data.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.3), methods
LinkingTo: RcppArmadillo, Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-07 14:46:38 UTC; lbybee
Repository: CRAN
Date/Publication: 2017-11-07 18:05:15 UTC

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Package switchr updated to version 0.12.6 with previous version 0.12.5 dated 2017-11-06

Title: Installing, Managing, and Switching Between Distinct Sets of Installed Packages
Description: Provides an abstraction for managing, installing, and switching between sets of installed R packages. This allows users to maintain multiple package libraries simultaneously, e.g. to maintain strict, package-version-specific reproducibility of many analyses, or work within a development/production release paradigm. Introduces a generalized package installation process which supports multiple repository and non-repository sources and tracks package provenance.
Author: Gabriel Becker[aut, cre]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

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Package RadOnc updated to version 1.1.4 with previous version 1.1.3 dated 2017-03-28

Title: Analytical Tools for Radiation Oncology
Description: Designed for the import, analysis, and visualization of dosimetric and volumetric data in Radiation Oncology, the tools herein enable import of dose-volume histogram information from multiple treatment planning system platforms and 3D structural representations and dosimetric information from 'DICOM-RT' files. These tools also enable subsequent visualization and statistical analysis of these data.
Author: Reid F. Thompson <reid.thompson@gmail.com>
Maintainer: Reid F. Thompson <reid.thompson@gmail.com>

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Package plm updated to version 1.6-6 with previous version 1.6-5 dated 2016-12-02

Title: Linear Models for Panel Data
Description: A set of estimators and tests for panel data econometrics.
Author: Yves Croissant [aut, cre], Giovanni Millo [aut], Kevin Tappe [aut], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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New package ClinicalTrialSummary with initial version 0.1.0
Package: ClinicalTrialSummary
Type: Package
Title: Summary Measures for Clinical Trials with Survival Outcomes
Version: 0.1.0
Author: Daewoo Pak and Song Yang
Maintainer: Daewoo Pak <heavyrain.pak@gmail.com>
Description: Provides estimates of the several summary measures for clinical trials including the average hazard ratio, the weighted average hazard ratio, the restricted superiority probability ratio, the restricted mean survival difference and the ratio of restricted mean times lost, based on the short-term and long-term hazard ratio model (Yang, 2005 <doi:10.1093/biomet/92.1.1>) which accommodates various non-proportional hazards scenarios. The inference procedures and the asymptotic results for the summary measures are discussed in Yang (2017, pre-print).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-11-07 14:05:43 UTC; daewoo
Repository: CRAN
Date/Publication: 2017-11-07 17:55:19 UTC

More information about ClinicalTrialSummary at CRAN
Permanent link

Package rmetasim updated to version 3.1.5 with previous version 3.1.3 dated 2017-09-19

Title: An Individual-Based Population Genetic Simulation Environment
Description: An interface between R and the metasim simulation engine. The simulation environment is documented in: "Strand, A.(2002) <DOI:10.1046/j.1471-8286.2002.00208.x> Metasim 1.0: an individual-based environment for simulating population genetics of complex population dynamics. Mol. Ecol. Notes. Please see the vignettes CreatingLandscapes and Simulating to get some ideas on how to use the packages. See the rmetasim vignette to get an overview and to see important changes to the code in the most recent version.
Author: Allan Strand <stranda@cofc.edu>, James Niehaus
Maintainer: Allan Strand <stranda@cofc.edu>

Diff between rmetasim versions 3.1.3 dated 2017-09-19 and 3.1.5 dated 2017-11-07

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Package move updated to version 3.0.2 with previous version 3.0.1 dated 2017-08-23

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <bart.kranstauber@ieu.uzh.ch>

Diff between move versions 3.0.1 dated 2017-08-23 and 3.0.2 dated 2017-11-07

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Package glmm updated to version 1.2.2 with previous version 1.2.1 dated 2017-08-15

Title: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation
Description: Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.
Author: Christina Knudson
Maintainer: Christina Knudson <christina@umn.edu>

Diff between glmm versions 1.2.1 dated 2017-08-15 and 1.2.2 dated 2017-11-07

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Package epxToR updated to version 0.3-0 with previous version 0.2-0 dated 2017-03-07

Title: Import 'Epidata' XML Files '.epx'
Description: Import data from 'Epidata' XML files '.epx' and convert it to R data structures.
Author: Jean Pierre Decorps [aut, cre], David Whiting [aut], Bruno Granouillac [ctb], Laura March [ctb]
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>

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Package EmpiricalCalibration updated to version 1.3.6 with previous version 1.3.1 dated 2017-05-16

Title: Routines for Performing Empirical Calibration of Observational Study Estimates
Description: Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account.
Author: Martijn Schuemie, Marc Suchard
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package vardpoor updated to version 0.9.11 with previous version 0.9.10 dated 2017-09-25

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>

Diff between vardpoor versions 0.9.10 dated 2017-09-25 and 0.9.11 dated 2017-11-07

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Package mockery updated to version 0.4.0 with previous version 0.3.0 dated 2016-12-16

Title: Mocking Library for R
Description: The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mock() facility present in the testthat package.
Author: Noam Finkelstein [aut, cre], Lukasz Bartnik [aut]
Maintainer: Noam Finkelstein <noam.finkelstein@jhu.edu>

Diff between mockery versions 0.3.0 dated 2016-12-16 and 0.4.0 dated 2017-11-07

 mockery-0.3.0/mockery/TODO                              |only
 mockery-0.4.0/mockery/DESCRIPTION                       |   10 -
 mockery-0.4.0/mockery/MD5                               |   23 ++--
 mockery-0.4.0/mockery/R/stub.R                          |   88 ++++++++++++----
 mockery-0.4.0/mockery/README.md                         |   37 ++++++
 mockery-0.4.0/mockery/build/vignette.rds                |binary
 mockery-0.4.0/mockery/inst/doc/mocks-and-testthat.html  |    1 
 mockery-0.4.0/mockery/man/call-expectations.Rd          |    3 
 mockery-0.4.0/mockery/man/mock.Rd                       |    4 
 mockery-0.4.0/mockery/man/mockery.Rd                    |    1 
 mockery-0.4.0/mockery/man/stub.Rd                       |    6 -
 mockery-0.4.0/mockery/tests/testthat/test-mock-object.R |    5 
 mockery-0.4.0/mockery/tests/testthat/test_stub.R        |   83 ++++++++++++++-
 13 files changed, 215 insertions(+), 46 deletions(-)

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Package SiMRiv updated to version 1.0.2 with previous version 1.0.1 dated 2017-08-17

Title: Simulating Multistate Movements in River/Heterogeneous Landscapes
Description: Provides functions to generate and analyze spatially-explicit individual-based multistate movements in rivers, heterogeneous and homogeneous spaces. This is done by incorporating landscape bias on local behaviour, based on resistance rasters. Although originally conceived and designed to simulate trajectories of species constrained to linear habitats/dendritic ecological networks (e.g. river networks), the simulation algorithm is built to be highly flexible and can be applied to any (aquatic, semi-aquatic or terrestrial) organism, independently on the landscape in which it moves. Thus, the user will be able to use the package to simulate movements either in homogeneous landscapes, heterogeneous landscapes (e.g. semi-aquatic animal moving mainly along rivers but also using the matrix), or even in highly contrasted landscapes (e.g. fish in a river network). The algorithm and its input parameters are the same for all cases, so that results are comparable. Simulated trajectories can then be used as mechanistic null models (Potts & Lewis 2014, <DOI:10.1098/rspb.2014.0231>) to test a variety of 'Movement Ecology' hypotheses (Nathan et al. 2008, <DOI:10.1073/pnas.0800375105>), including landscape effects (e.g. resources, infrastructures) on animal movement and species site fidelity, or for predictive purposes (e.g. road mortality risk, dispersal/connectivity). The package should be relevant to explore a broad spectrum of ecological phenomena, such as those at the interface of animal behaviour, management, landscape and movement ecology, disease and invasive species spread, and population dynamics.
Author: Lorenzo Quaglietta [aut], Miguel Porto [aut, cre], Erida Gjini [ctb]
Maintainer: Miguel Porto <mpbertolo@gmail.com>

Diff between SiMRiv versions 1.0.1 dated 2017-08-17 and 1.0.2 dated 2017-11-07

 DESCRIPTION          |   44 ++--
 MD5                  |   34 +--
 NAMESPACE            |   14 -
 R/Ops.r              |   16 -
 R/SiMRiv.r           |  129 ++++++------
 R/estimation.r       |  315 ++++++++++++++++++-----------
 R/internal.r         |  133 ++++++------
 build/partial.rdb    |binary
 build/vignette.rds   |binary
 inst/doc/SiMRiv.Rnw  |   12 -
 inst/doc/SiMRiv.pdf  |binary
 man/adjustModel.Rd   |    6 
 src/SiMRiv.h         |   70 ++++--
 src/misc.c           |    4 
 src/raster-fn.c      |   66 +++---
 src/simulate.c       |  541 ++++++++++++++++++++++++++-------------------------
 tests                |only
 vignettes/SiMRiv.Rnw |   12 -
 18 files changed, 774 insertions(+), 622 deletions(-)

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New package TreeSearch with initial version 0.0.6
Package: TreeSearch
Title: Phylogenetic Tree Search Using Custom Optimality Criteria
Version: 0.0.6
Date: 2017-11-06
Authors@R: c(person("Martin R.", 'Smith', email="martins@gmail.com", role=c("aut", "cre", "cph"), comment=c(ORCID = "0000-0001-5660-1727")), person(given = "Emmanuel", family="Paradis", role = c("cph")), person(given = "Klaus", family="Schliep", role = c("cph")) )
Copyright: Incorporates C code from the ape and phangorn packages by Emmanuel Paradis and Klaus Schliep. Code is copied rather than linked in the absence of a suitable R interface.
Description: Searches for phylogenetic trees that are optimal using a user-defined criterion. Employed in Brazeau Guillerme and Smith (2017) <doi:10.1101/209775>.
Depends: R (>= 3.4.0)
Imports: ape (>= 4.1), phangorn (>= 2.2.1)
Suggests: testthat
LazyData: true
ByteCompile: true
License: GPL (>= 2)
URL: https://github.com/ms609/TreeSearch
BugReports: https://github.com/ms609/TreeSearch/issues
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-06 14:57:01 UTC; ms609
Author: Martin R. Smith [aut, cre, cph] (0000-0001-5660-1727), Emmanuel Paradis [cph], Klaus Schliep [cph]
Maintainer: Martin R. Smith <martins@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-07 13:01:53 UTC

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New package sharpr2 with initial version 1.0.0.0
Package: sharpr2
Title: Estimating Regulatory Scores and Identifying HiDRA Data
Version: 1.0.0.0
Author: Liang He
Maintainer: Liang He <lianghe@mit.edu>
Description: An algorithm for identifying high-resolution driver elements for datasets from a high-definition reporter assay (HiDRA) library. Xinchen Wang, Liang He, Sarah Goggin, Alham Saadat, Li Wang, Melina Claussnitzer, Manolis Kellis (2017) <doi:10.1101/193136>.
Depends: R (>= 3.3.0)
Imports: mvtnorm (>= 1.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
Repository: CRAN
Repository/R-Forge/Project: sharpr2
Repository/R-Forge/Revision: 15
Repository/R-Forge/DateTimeStamp: 2017-11-06 03:58:16
Date/Publication: 2017-11-07 13:34:44 UTC
NeedsCompilation: no
Packaged: 2017-11-06 04:25:10 UTC; rforge

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New package oc with initial version 0.98
Package: oc
Version: 0.98
Date: 2017-11-06
Title: Optimal Classification Roll Call Analysis Software
Author: Keith Poole <ktpoole@uga.edu>, Jeffrey Lewis <jblewis@ucla.edu>, James Lo <lojames@usc.edu> and Royce Carroll <rcarroll@rice.edu>
Maintainer: James Lo <lojames@usc.edu>
Depends: R (>= 2.3.1), pscl (>= 0.59)
Description: Estimates optimal classification (Poole 2000) <doi:10.1093/oxfordjournals.pan.a029814> scores from roll call votes supplied though a 'rollcall' object from package 'pscl'.
License: GPL-2
Repository: CRAN
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2017-11-07 02:07:28 UTC; jameslo
Date/Publication: 2017-11-07 13:40:35 UTC

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New package hues with initial version 0.1
Package: hues
Type: Package
Version: 0.1
Title: Distinct Colours Palettes Based on 'iwanthue'
Description: Creating effective colour palettes for figures is challenging. This package generates and plot palettes of optimally distinct colours in perceptually uniform colour space, based on 'iwanthue' <http://tools.medialab.sciences-po.fr/iwanthue/>. This is done through k-means clustering of CIE Lab colour space, according to user-selected constraints on hue, chroma, and lightness.
Date: 2017-11-01
Depends: R (>= 3.2.0)
Imports: colorspace, methods
Authors@R: person("John", "Baumgartner", email = "johnbaums@gmail.com", role = c("aut", "cre"))
URL: https://github.com/johnbaums/hues
BugReports: https://github.com/johnbaums/hues/issues
License: LGPL (>= 3)
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-02 11:26:58 UTC; john
Author: John Baumgartner [aut, cre]
Maintainer: John Baumgartner <johnbaums@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-07 13:16:23 UTC

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New package APCanalysis with initial version 1.0
Package: APCanalysis
Type: Package
Title: Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons
Version: 1.0
Date: 2017-11-03
Author: Arden Miller and Abu Zar Md. Shafiullah.
Maintainer: Arden Miller <a.miller@auckland.ac.nz>
Description: Analysis of data from unreplicated orthogonal experiments such as 2-level factorial and fractional factorial designs and Plackett-Burman designs using the all possible comparisons (APC) methodology developed by Miller (2005) <doi:10.1198/004017004000000608>.
Depends: R (>= 3.3.0)
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2017-11-06 18:33:19 UTC; amil053
Repository: CRAN
Date/Publication: 2017-11-07 13:03:34 UTC

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New package TFisher with initial version 0.1.0
Package: TFisher
Type: Package
Title: Optimal Thresholding Fisher's P-Value Combination Method
Version: 0.1.0
Author: Hong Zhang and Zheyang Wu
Maintainer: Hong Zhang <hzhang@wpi.edu>
Description: We provide the cumulative distribution function (CDF), quantile, and statistical power calculator for a collection of thresholding Fisher's p-value combination methods, including Fisher's p-value combination method, truncated product method and, in particular, soft-thresholding Fisher's p-value combination method which is proven to be optimal in some context of signal detection. The p-value calculator for the omnibus version of these tests are also included. For reference, please see Hong Zhang and Zheyang Wu. "Optimal Thresholding of Fisher's P-value Combination Tests for Signal Detection", submitted.
License: GPL-2
Imports: stats, sn, mvtnorm
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-06 15:01:58 UTC; Hong
Repository: CRAN
Date/Publication: 2017-11-07 12:55:41 UTC

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New package PCMRS with initial version 0.0-1
Package: PCMRS
Type: Package
Title: Model Response Styles in Partial Credit Models
Version: 0.0-1
Date: 2017-11-02
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther@stat.uni-muenchen.de>
Description: Implementation of PCMRS (Partial Credit Model with Response Styles) as proposed in by Tutz, Schauberger and Berger (2016) <https://epub.ub.uni-muenchen.de/29373/> . PCMRS is an extension of the regular partial credit model. PCMRS allows for an additional person parameter that characterizes the response style of the person. By taking the response style into account, the estimates of the item parameters are less biased than in partial credit models.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4)
Depends: ltm, statmod, cubature, mvtnorm, parallel
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-11-06 13:44:23 UTC; schaubergerg
Repository: CRAN
Date/Publication: 2017-11-07 11:18:46 UTC

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Package Rsymphony updated to version 0.1-28 with previous version 0.1-27 dated 2017-07-15

Title: SYMPHONY in R
Description: An R interface to the SYMPHONY solver for mixed-integer linear programs.
Author: Reinhard Harter [aut], Kurt Hornik [aut, cre], Stefan Theussl [aut], Cyrille Szymanski [ctb], Florian Schwendinger [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between Rsymphony versions 0.1-27 dated 2017-07-15 and 0.1-28 dated 2017-11-07

 DESCRIPTION  |   14 ++++++++------
 MD5          |    8 ++++----
 NAMESPACE    |    6 ++++++
 R/sparse.R   |   45 ++++++++++++++++++++++++++++++++++++++++++++-
 R/symphony.R |   12 ++++++++----
 5 files changed, 70 insertions(+), 15 deletions(-)

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Package RcppThread updated to version 0.1.1 with previous version 0.1.0 dated 2017-10-27

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between RcppThread versions 0.1.0 dated 2017-10-27 and 0.1.1 dated 2017-11-07

 DESCRIPTION                       |    6 
 MD5                               |   11 
 NEWS.md                           |only
 README.md                         |    9 
 build/vignette.rds                |binary
 inst/doc/RcppThread.html          |  472 ++++++++++++--------------------------
 inst/include/RcppThread/Rcout.hpp |    2 
 7 files changed, 168 insertions(+), 332 deletions(-)

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Package SqlRender updated to version 1.4.6 with previous version 1.4.3 dated 2017-09-15

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include Sql Server, Oracle, PostgreSql, Amazon RedShift, Impala, IBM Netezza, Google BigQuery, and Microsoft PDW.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SqlRender versions 1.4.3 dated 2017-09-15 and 1.4.6 dated 2017-11-07

 DESCRIPTION                        |    8 
 MD5                                |   14 
 NEWS                               |   11 
 build/vignette.rds                 |binary
 inst/csv/replacementPatterns.csv   |   19 
 inst/doc/UsingSqlRender.pdf        |binary
 inst/java/SqlRender.jar            |binary
 tests/testthat/test-translateSql.R | 1202 ++++++++++++++++++++-----------------
 8 files changed, 721 insertions(+), 533 deletions(-)

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