Thu, 31 May 2018

New package OpenRepGrid with initial version 0.1.12
Package: OpenRepGrid
License: GPL (>= 2)
Title: Tools to Analyze Repertory Grid Data
LazyData: yes
Type: Package
LazyLoad: yes
Authors@R: person("Mark", "Heckmann", email = "heckmann.mark@gmail.com", role = c("aut", "cre"))
Description: Analyze repertory grids, a qualitative-quantitative data collection technique devised by George A. Kelly in the 1950s. Today, grids are used across various domains ranging from clinical psychology to marketing. The package contains functions to quantitatively analyze and visualize repertory grid data (see e.g. Bell, 2005, <doi:10.1002/0470013370.ch9>; Fransella, Bell, & Bannister, 2004, ISBN: 978-0-470-09080-0).
Version: 0.1.12
Date: 2018-05-31
Encoding: UTF-8
URL: http://openrepgrid.org, https://github.com/markheckmann/OpenRepGrid
Imports: methods, graphics, grid, utils, stats, grDevices, plyr, stringr, abind, rgl, colorspace, GPArotation, psych, XML, tcltk, pvclust, openxlsx
Collate: 'bertin.r' 'calc.r' 'data-openrepgrid.r' 'dev-functions.r' 'distance.R' 'double-entry.R' 'export.r' 'gmMain.r' 'import.r' 'measures.r' 'onair.r' 'openrepgrid.r' 'repgrid.r' 'repgrid-basicops.r' 'repgrid-constructs.r' 'repgrid-elements.r' 'repgrid-output.r' 'repgrid-plots.r' 'repgrid-ratings.r' 'rgl-3d.r' 'settings.r' 'utils-import.r' 'utils.r' 'zzz.r'
RoxygenNote: 6.0.1
NeedsCompilation: no
Author: Mark Heckmann [aut, cre]
Maintainer: Mark Heckmann <heckmann.mark@gmail.com>
Packaged: 2018-05-31 22:06:52 UTC; heckm
Repository: CRAN
Date/Publication: 2018-05-31 22:52:29 UTC

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Package RJafroc updated to version 1.0.2 with previous version 1.0.1 dated 2018-02-18

Title: Modeling, Analysis, Validation and Visualization of Observer Performance Studies in Diagnostic Radiology
Description: Tools for quantitative assessment of medical imaging systems, radiologists or computer aided ('CAD') algorithms. Implements methods described in a book: 'Chakraborty' 'DP' (2017), "Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples", Taylor-Francis <https://www.crcpress.com/9781482214840> and its Online Appendices <https://github.com/dpc10ster/onlinebookk21778>. Data collection paradigms include receiver operating characteristic ('ROC') and its location specific extensions, primarily free-response 'ROC' ('FROC'). 'ROC' data consists of a single rating per image, where the rating is the perceived confidence level the image is of a diseased patient. 'FROC' data consists of a variable number (including zero) of mark-rating pairs per image, where a mark is the location of a clinically reportable suspicious region and the rating is the corresponding confidence level that it is a true lesion. The software supersedes the current Windows version of 'JAFROC' software <http://www.devchakraborty.com>. 'RJafroc' is derived from it being an enhanced R version of original Windows 'JAFROC'. Implemented are a number of figures of merit quantifying performance, functions for visualizing operating characteristics; three ROC ratings data curve-fitting algorithms: the 'binormal' model ('BM'), the contaminated binormal model ('CBM') and the radiological search model ('RSM'). Unlike the 'BM', the 'CBM' and the 'RSM' predict proper ROC curves that do not cross the chance diagonal or display inappropriate hooks near the upper right corner of the plots. 'RSM' fitting additionally yields measures of search and lesion-classification performances, in addition to the usual case-classification performance measured by the area under the 'ROC' curve. Search performance is the ability to find lesions while avoiding finding non-lesions. Lesion-classification performance is the ability to discriminate between found lesions and non-lesions. For fully crossed study designs, termed multiple-reader multiple-case, significance testing of reader-averaged figure-of-merit differences between modalities is implemented via both 'Dorfman', 'Berbaum' and 'Metz' ('DBM') and the 'Obuchowski' and 'Rockette' ('OR') methods. Single treatment analysis allows comparison of performance of a group of radiologists to a specified value, or comparison of 'CAD' performance to a group of radiologists interpreting the same cases. Sample size estimation tools are provided for 'ROC' and 'FROC' studies that allow estimation of relevant variances from a pilot study to predict required numbers of readers and cases in a pivotal study. Utility and data file manipulation functions allow data to be read in any of the currently used input formats, including Excel, and the results of the analysis can be viewed in text or Excel output files. 'RJafroc' is used extensively in the cited book and its online appendices.
Author: Dev Chakraborty [cre, aut, cph], Xuetong Zhai [aut], Lucy D'Agostino McGowan [ctb], Alejandro RodriguezRuiz [ctb]
Maintainer: Dev Chakraborty <dpc10ster@gmail.com>

Diff between RJafroc versions 1.0.1 dated 2018-02-18 and 1.0.2 dated 2018-05-31

 RJafroc-1.0.1/RJafroc/inst/doc                                      |only
 RJafroc-1.0.1/RJafroc/man/SsFROCPowerGivenJK.Rd                     |only
 RJafroc-1.0.2/RJafroc/DESCRIPTION                                   |   21 
 RJafroc-1.0.2/RJafroc/MD5                                           |   43 -
 RJafroc-1.0.2/RJafroc/NAMESPACE                                     |    1 
 RJafroc-1.0.2/RJafroc/NEWS.md                                       |    9 
 RJafroc-1.0.2/RJafroc/R/DfExtractDataset.R                          |   53 +-
 RJafroc-1.0.2/RJafroc/R/DfReadDataFile.R                            |    2 
 RJafroc-1.0.2/RJafroc/R/DfSaveDataFile.R                            |    4 
 RJafroc-1.0.2/RJafroc/R/PlotRsmOperatingCharacteristics.R           |    5 
 RJafroc-1.0.2/RJafroc/R/SsFROCPowerGivenJK.R                        |  234 +++++-----
 RJafroc-1.0.2/RJafroc/R/SsPowerTable.R                              |    2 
 RJafroc-1.0.2/RJafroc/R/SsSampleSizeKGivenJ.R                       |    2 
 RJafroc-1.0.2/RJafroc/R/StSignificanceTestingCadVsRadiologists.R    |   49 +-
 RJafroc-1.0.2/RJafroc/R/StSignificanceTestingCrossedModalities.R    |    4 
 RJafroc-1.0.2/RJafroc/man/DfExtractDataset.Rd                       |    8 
 RJafroc-1.0.2/RJafroc/man/DfReadDataFile.Rd                         |    2 
 RJafroc-1.0.2/RJafroc/man/DfSaveDataFile.Rd                         |    4 
 RJafroc-1.0.2/RJafroc/man/RJafroc-package.Rd                        |   10 
 RJafroc-1.0.2/RJafroc/man/SsPowerTable.Rd                           |    2 
 RJafroc-1.0.2/RJafroc/man/SsSampleSizeKGivenJ.Rd                    |    2 
 RJafroc-1.0.2/RJafroc/man/StSignificanceTestingCadVsRadiologists.Rd |   24 -
 RJafroc-1.0.2/RJafroc/man/StSignificanceTestingCrossedModalities.Rd |    2 
 23 files changed, 278 insertions(+), 205 deletions(-)

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New package sampler with initial version 0.2.0
Package: sampler
Type: Package
Title: Sample Design, Drawing & Data Analysis Using Data Frames
Version: 0.2.0
Author: Michael Baldassaro
Maintainer: Michael Baldassaro <mbaldassaro@gmail.com>
Description: Determine sample sizes, draw samples, and conduct data analysis using data frames. It specifically enables you to determine simple random sample sizes, stratified sample sizes, and complex stratified sample sizes using a secondary variable such as population; draw simple random samples and stratified random samples from sampling data frames; determine which observations are missing from a random sample, missing by strata, duplicated within a dataset; and perform data analysis, including proportions, margins of error and upper and lower bounds for simple, stratified and cluster sample designs.
License: MIT + file LICENSE
URL: https://github.com/mbaldassaro/sampler
BugReports: https://github.com/mbaldassaro/sampler/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, splitstackshape, reshape
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-30 20:41:19 UTC; mbaldassaro
Repository: CRAN
Date/Publication: 2018-05-31 20:37:59 UTC

More information about sampler at CRAN
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Package redux updated to version 1.1.0 with previous version 1.0.0 dated 2017-05-15

Title: R Bindings to 'hiredis'
Description: A 'hiredis' wrapper that includes support for transactions, pipelining, blocking subscription, serialisation of all keys and values, 'Redis' error handling with R errors. Includes an automatically generated 'R6' interface to the full 'hiredis' 'API'. Generated functions are faithful to the 'hiredis' documentation while attempting to match R's argument semantics. Serialisation must be explicitly done by the user, but both binary and text-mode serialisation is supported.
Author: Rich FitzJohn [aut, cre]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between redux versions 1.0.0 dated 2017-05-15 and 1.1.0 dated 2018-05-31

 redux-1.0.0/redux/inst/doc/low_level.Rmd                         |only
 redux-1.0.0/redux/inst/doc/low_level.html                        |only
 redux-1.0.0/redux/vignettes/low_level.Rmd                        |only
 redux-1.1.0/redux/DESCRIPTION                                    |   15 -
 redux-1.1.0/redux/MD5                                            |   91 +++++-----
 redux-1.1.0/redux/NAMESPACE                                      |    2 
 redux-1.1.0/redux/NEWS.md                                        |only
 redux-1.1.0/redux/R/connection.R                                 |    6 
 redux-1.1.0/redux/R/hiredis.R                                    |   28 ++-
 redux-1.1.0/redux/R/redis_api.R                                  |   10 -
 redux-1.1.0/redux/R/storr.R                                      |only
 redux-1.1.0/redux/R/util.R                                       |    4 
 redux-1.1.0/redux/R/util_assert.R                                |    6 
 redux-1.1.0/redux/R/zzz.R                                        |    2 
 redux-1.1.0/redux/README.md                                      |   27 ++
 redux-1.1.0/redux/build/vignette.rds                             |binary
 redux-1.1.0/redux/configure                                      |    2 
 redux-1.1.0/redux/inst/doc/redux.Rmd                             |   72 +++----
 redux-1.1.0/redux/inst/doc/redux.html                            |   74 ++++----
 redux-1.1.0/redux/man/hiredis.Rd                                 |   31 +++
 redux-1.1.0/redux/man/redis.Rd                                   |    2 
 redux-1.1.0/redux/man/redis_connection.Rd                        |    6 
 redux-1.1.0/redux/man/storr_redis_api.Rd                         |only
 redux-1.1.0/redux/src/conversions.c                              |    2 
 redux-1.1.0/redux/src/subscribe.c                                |    5 
 redux-1.1.0/redux/tests/testthat/helper-common.R                 |   19 +-
 redux-1.1.0/redux/tests/testthat/helper-publisher.R              |    4 
 redux-1.1.0/redux/tests/testthat/helper-redux.R                  |    3 
 redux-1.1.0/redux/tests/testthat/test-aaa.R                      |    3 
 redux-1.1.0/redux/tests/testthat/test-conversions.R              |   12 -
 redux-1.1.0/redux/tests/testthat/test-interface.R                |   24 +-
 redux-1.1.0/redux/tests/testthat/test-print.R                    |    3 
 redux-1.1.0/redux/tests/testthat/test-redis-commands.R           |    7 
 redux-1.1.0/redux/tests/testthat/test-redis-socket.R             |    1 
 redux-1.1.0/redux/tests/testthat/test-redis.R                    |   19 +-
 redux-1.1.0/redux/tests/testthat/test-scan.R                     |   15 -
 redux-1.1.0/redux/tests/testthat/test-storr.R                    |only
 redux-1.1.0/redux/tests/testthat/test-tools.R                    |   24 +-
 redux-1.1.0/redux/tests/testthat/test-util.R                     |    9 
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-generic.R     |   44 ++--
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-geo.R         |   12 -
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-hash.R        |   28 +--
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-hyperloglog.R |    6 
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-list.R        |   34 +--
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-scripting.R   |    5 
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-set.R         |   34 +--
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-sorted-set.R  |   40 ++--
 redux-1.1.0/redux/tests/testthat/test-zzz-commands-string.R      |   50 ++---
 redux-1.1.0/redux/tests/testthat/test-zzz-subscribe.R            |   10 -
 redux-1.1.0/redux/vignettes/redux.Rmd                            |   72 +++----
 50 files changed, 487 insertions(+), 376 deletions(-)

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New package palasso with initial version 0.0.1
Package: palasso
Version: 0.0.1
Title: Paired Lasso Regression
Description: Implements sparse regression with paired covariates (Rauschenberger et al. 2018).
Depends: R (>= 3.0.0)
Imports: glmnet, stats, Matrix, survival
Suggests: knitr, testthat, edgeR, pROC
Authors@R: person("Armin","Rauschenberger",email="a.rauschenberger@vumc.nl",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/rauschenberger/palasso
BugReports: https://github.com/rauschenberger/palasso/issues
NeedsCompilation: no
Packaged: 2018-05-22 11:34:23 UTC; a.rauschenbe
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <a.rauschenberger@vumc.nl>
Repository: CRAN
Date/Publication: 2018-05-31 20:38:11 UTC

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New package optrdd with initial version 1.0.1
Package: optrdd
Title: Optimized Regression Discontinuity Designs
Version: 1.0.1
Authors@R: c( person("Guido", "Imbens", email = "imbens@stanford.edu", role = c("aut")), person("Stefan", "Wager", email = "swager@stanford.edu", role = c("aut", "cre")))
Description: Optimized inference in regression discontinuity designs, as proposed by Imbens and Wager (2017) <arXiv:1705.01677>.
Depends: R (>= 3.2.0)
Imports: quadprog, splines, Matrix, CVXR
Suggests: Rmosek, RColorBrewer, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-31 07:23:57 UTC; swager
Author: Guido Imbens [aut], Stefan Wager [aut, cre]
Maintainer: Stefan Wager <swager@stanford.edu>
Repository: CRAN
Date/Publication: 2018-05-31 20:38:15 UTC

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Package mvtnorm updated to version 1.0-8 with previous version 1.0-7 dated 2018-01-25

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates and densities.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb], Martin Maechler [ctb], Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mvtnorm versions 1.0-7 dated 2018-01-25 and 1.0-8 dated 2018-05-31

 DESCRIPTION            |   10 +++++-----
 MD5                    |   12 ++++++------
 R/mvt.R                |    8 ++++++--
 inst/NEWS              |    7 +++++++
 inst/doc/MVT_Rnews.pdf |binary
 man/qmvnorm.Rd         |    8 +++++++-
 man/qmvt.Rd            |    8 +++++++-
 7 files changed, 38 insertions(+), 15 deletions(-)

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New package MM4LMM with initial version 1.0.5
Package: MM4LMM
Type: Package
Title: Inference of Linear Mixed Models Through MM Algorithm
Version: 1.0.5
Date: 2018-05-31
Author: Fabien Laporte, Tristan Mary-Huard
Maintainer: Fabien Laporte <fabien.laporte@inra.fr>
Description: The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed models using a Min-Max (MM) algorithm (Hunter, D. R., & Lange, K. (2004) <doi:10.1198/0003130042836>).
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.13), Matrix, parallel, stats
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2018-05-31 10:24:29 UTC; fabien
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2018-05-31 20:38:35 UTC

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New package mdendro with initial version 1.0.0
Package: mdendro
Version: 1.0.0
Date: 2018-05-29
Title: Variable-Group Methods for Agglomerative Hierarchical Clustering
Authors@R: c(person("Alberto", "Fernandez", role = c("aut", "cre"), email = "alberto.fernandez@urv.cat", comment = c(ORCID = "0000-0002-1241-1646")), person("Sergio", "Gomez", role = "aut", email = "sergio.gomez@urv.cat", comment = c(ORCID = "0000-0003-1820-0062")))
Description: A collection of methods for agglomerative hierarchical clustering strategies on a matrix of distances, implemented using the variable-group approach introduced in Fernandez and Gomez (2008) <doi:10.1007/s00357-008-9004-x>. Descriptive measures to analyze the resulting hierarchical trees are also provided. In addition to the usual clustering methods, two parameterized methods are provided to explore an infinite family of hierarchical clustering strategies. When there are ties in proximity values, the hierarchical trees obtained are unique and independent of the order of the elements in the input matrix.
Depends: R (>= 3.5.0)
Imports: rJava (>= 0.9.8)
SystemRequirements: Java (>= 6)
License: LGPL-2.1
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-30 13:12:40 UTC; Alberto
Author: Alberto Fernandez [aut, cre] (<https://orcid.org/0000-0002-1241-1646>), Sergio Gomez [aut] (<https://orcid.org/0000-0003-1820-0062>)
Maintainer: Alberto Fernandez <alberto.fernandez@urv.cat>
Repository: CRAN
Date/Publication: 2018-05-31 20:38:22 UTC

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New package gestalt with initial version 0.1.1
Package: gestalt
Title: Tools for Making and Combining Functions
Version: 0.1.1
Authors@R: person("Eugene", "Ha", , "eha@posteo.de", c("aut", "cre"))
Description: Provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the 'magrittr' %>% operator and supports 'tidyverse' quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a function that performs partial application, partial(), are also provided. Both support quasiquotation.
License: MIT + file LICENSE
URL: https://github.com/egnha/gestalt
BugReports: https://github.com/egnha/gestalt/issues
Depends: R (>= 3.1.0)
Imports: rlang (>= 0.2.0), utils
Suggests: magrittr (>= 1.5), dplyr (>= 0.7.5), testthat (>= 2.0.0), knitr, rmarkdown
Collate: 'gestalt.R' 'utils.R' 'compose.R' 'constant.R' 'partial.R' 'fn.R'
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: no
Packaged: 2018-05-30 21:05:29 UTC; eha
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>
Repository: CRAN
Date/Publication: 2018-05-31 20:38:25 UTC

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New package EmissV with initial version 0.664.5
Package: EmissV
Title: Vehicular Emissions by Top-Down Methods
Version: 0.664.5
Authors@R: c( person(given = "Daniel", family = "Schuch", role = c("aut", "cre"), email = "schuch@usp.br", comment = c(ORCID = "0000-0001-5977-4519")), person(given = "Sergio", family = "Ibarra-Espinosa", role = c("aut"), email = "sergio.ibarra@usp.br", comment = c(ORCID = "0000-0002-3162-1905")) )
Maintainer: Daniel Schuch <schuch@usp.br>
Description: Creates emissions for use in air quality models. Vehicular emissions are estimated by a top-down approach, total emissions are calculated using the statistical description of the fleet of vehicles, the emission is spatially distributed according to satellite images or openstreetmap <https://www.openstreetmap.org> data and then distributed temporarily (Vara-Vela et al., 2016, <doi:10.5194/acp-16-777-2016>).
Depends: R (>= 3.4)
Imports: ncdf4, raster, units, methods, sp, spatstat, maptools, rgeos, rgdal
Suggests: osmar
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/atmoschem/EmissV
BugReports: https://github.com/atmoschem/EmissV/issues/
NeedsCompilation: no
Packaged: 2018-05-31 05:35:40 UTC; Schuch
Author: Daniel Schuch [aut, cre] (<https://orcid.org/0000-0001-5977-4519>), Sergio Ibarra-Espinosa [aut] (<https://orcid.org/0000-0002-3162-1905>)
Repository: CRAN
Date/Publication: 2018-05-31 20:38:39 UTC

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New package conflicted with initial version 0.1.0
Package: conflicted
Title: An Alternative Conflict Resolution Strategy
Version: 0.1.0
Authors@R: c( person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")), person("RStudio", role = "cph") )
Description: R's default conflict management system gives the most recently loaded package precedence. This can make it hard to detect conflicts, particularly when they arise because a package update creates ambiguity that did not previously exist. 'conflicted' takes a different approach, making every conflict an error and forcing you to choose which function to use.
License: GPL-3
URL: https://github.com/r-lib/conflicted
BugReports: https://github.com/r-lib/conflicted/issues
Depends: R (>= 3.1)
Imports: rlang
Suggests: covr, crayon, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-30 14:26:26 UTC; hadley
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>
Repository: CRAN
Date/Publication: 2018-05-31 20:38:29 UTC

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New package clusterlab with initial version 0.0.0.9
Package: clusterlab
Title: Flexible Gaussian Cluster Simulator
Version: 0.0.0.9
Date: 2018-05-29
Author: Christopher R John
Maintainer: Christopher R John <chris.r.john86@gmail.com>
Depends: R (>= 3.4.0)
Description: Clustering is a central task in big data analyses and clusters are often Gaussian or near Gaussian. However, a flexible Gaussian cluster simulation tool with precise control over the size, variance, and spacing of the clusters in NXN dimensional space does not exist. This is why we created 'clusterlab'. The algorithm first creates X points equally spaced on the circumference of a circle in 2D space. These form the centers of each cluster to be simulated. Additional samples are added by adding Gaussian noise to each cluster center and concatenating the new sample co-ordinates. Then if the feature space is greater than 2D, the generated points are considered principal component scores and projected into N dimensional space using linear combinations using fixed eigenvectors. The algorithm is highly customizable and well suited to testing class discovery tools across a range of fields.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-31 06:18:36 UTC; christopher
Repository: CRAN
Date/Publication: 2018-05-31 20:38:32 UTC

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New package CBT with initial version 1.0
Package: CBT
Type: Package
Title: Confidence Bound Target Algorithm
Version: 1.0
Date: 2018-05-16
Author: Hock Peng Chan and Shouri Hu
Maintainer: Shouri Hu <e0054325@u.nus.edu>
Description: The Confidence Bound Target (CBT) algorithm is designed for infinite arms bandit problem. It is shown that CBT algorithm achieves the regret lower bound for general reward distributions. Reference: Hock Peng Chan and Shouri Hu (2018) <arXiv:1805.11793>.
License: GPL-2
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-31 09:44:57 UTC; e0054325
Repository: CRAN
Date/Publication: 2018-05-31 20:38:43 UTC

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Package bglm (with last version 1.0) was removed from CRAN

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

2014-11-20 1.0

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Package storr updated to version 1.2.0 with previous version 1.1.3 dated 2017-12-15

Title: Simple Key Value Stores
Description: Creates and manages simple key-value stores. These can use a variety of approaches for storing the data. This package implements the base methods and support for file system, in-memory and DBI-based database stores.
Author: Rich FitzJohn [aut, cre]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

Diff between storr versions 1.1.3 dated 2017-12-15 and 1.2.0 dated 2018-05-31

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Package metaforest updated to version 0.1.2 with previous version 0.1.0 dated 2017-09-09

Title: Exploring Heterogeneity in Meta-Analysis using Random Forests
Description: Conduct random forests-based meta-analysis, obtain partial dependence plots for metaforest and classic meta-analyses, and cross-validate and tune metaforest- and classic meta-analyses in conjunction with the caret package. A requirement of classic meta-analysis is that the studies being aggregated are conceptually similar, and ideally, close replications. However, in many fields, there is substantial heterogeneity between studies on the same topic. Classic meta-analysis lacks the power to assess more than a handful of univariate moderators. MetaForest, by contrast, has substantial power to explore heterogeneity in meta-analysis. It can identify important moderators from a larger set of potential candidates, even with as little as 20 studies (Van Lissa, in preparation). This is an appealing quality, because many meta-analyses have small sample sizes. Moreover, MetaForest yields a measure of variable importance which can be used to identify important moderators, and offers partial prediction plots to explore the shape of the marginal relationship between moderators and effect size.
Author: Caspar J. van Lissa
Maintainer: Caspar J. van Lissa <c.j.vanlissa@gmail.com>

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Package cudia (with last version 0.1) was removed from CRAN

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

2012-08-19 0.1

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Package phylolm updated to version 2.6 with previous version 2.5 dated 2016-10-17

Title: Phylogenetic Linear Regression
Description: Provides functions for fitting phylogenetic linear models and phylogenetic generalized linear models. The computation uses an algorithm that is linear in the number of tips in the tree. The package also provides functions for simulating continuous or binary traits along the tree. Other tools include functions to test the adequacy of a population tree.
Author: Lam Si Tung Ho [aut, cre], Cecile Ane [aut], Robert Lachlan [ctb], Kelsey Tarpinian [ctb], Rachel Feldman [ctb], Qing Yu [ctb], Wouter van der Bijl [ctb]
Maintainer: Lam Si Tung Ho <lamho86@gmail.com>

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Package ADMMsigma updated to version 2.0 with previous version 1.0 dated 2018-04-03

Title: Penalized Precision Matrix Estimation via ADMM
Description: Estimates a penalized precision matrix via the alternating direction method of multipliers (ADMM) algorithm. It currently supports a general elastic-net penalty that allows for both ridge and lasso-type penalties as special cases. This package is an alternative to the 'glasso' package. See Boyd et al (2010) <doi:10.1561/2200000016> for details regarding the estimation method.
Author: Matt Galloway [aut, cre]
Maintainer: Matt Galloway <gall0441@umn.edu>

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