Sat, 20 May 2017

Package schumaker updated to version 1.0 with previous version 0.3 dated 2016-02-29

Title: Schumaker Shape-Preserving Spline
Description: This is a shape preserving spline which is guaranteed to be monotonic and concave or convex if the data is monotonic and concave or convex. It does not use any optimisation and is therefore quick and smoothly converges to a fixed point in economic dynamics problems including value function iteration. It also automatically gives the first two derivatives of the spline and options for determining behaviour when evaluated outside the interpolation domain.
Author: Stuart Baumann [aut, cre], Margaryta Klymak[aut]
Maintainer: Stuart Baumann <Stuart@StuartBaumann.com>

Diff between schumaker versions 0.3 dated 2016-02-29 and 1.0 dated 2017-05-20

 DESCRIPTION                 |   16 +--
 MD5                         |   25 ++---
 R/Schumaker.R               |   12 +-
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 14 files changed, 239 insertions(+), 218 deletions(-)

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Package countyfloods updated to version 0.0.2 with previous version 0.0.1 dated 2017-04-01

Title: Quantify United States County-Level Flood Measurements
Description: Quantifies United States flood impacts at the county level using United States Geological Service (USGS) River Discharge data for the USGS API. This package builds on R packages from the USGS, with the goal of creating county-level time series of flood status that can be more easily joined with county-level impact measurements, including health outcomes. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631), the Colorado Water Center, and the National Science Foundation, Integrative Graduate Education and Research Traineeship (IGERT) Grant No. DGE-0966346 "I-WATER: Integrated Water, Atmosphere, Ecosystems Education and Research Program" at Colorado State University.
Author: Rod Lammers [aut, cre], Brooke Anderson [aut]
Maintainer: Rod Lammers <rodlammers@gmail.com>

Diff between countyfloods versions 0.0.1 dated 2017-04-01 and 0.0.2 dated 2017-05-20

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 MD5                       |    6 +++---
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 4 files changed, 21 insertions(+), 17 deletions(-)

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Package AIG updated to version 0.1.5 with previous version 0.1.3 dated 2017-03-15

Title: Automatic Item Generator
Description: A collection of Automatic Item Generators used mainly for psychological research. This package can generate linear syllogistic reasoning, arithmetic and 2D/3D spatial reasoning items. It is recommended for research purpose only.
Author: Bao Sheng Loe (Aiden) [aut,cre,cph]
Maintainer: Bao Sheng Loe (Aiden) <bsl28@cam.ac.uk>

Diff between AIG versions 0.1.3 dated 2017-03-15 and 0.1.5 dated 2017-05-20

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 NAMESPACE               |    1 
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 10 files changed, 147 insertions(+), 65 deletions(-)

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Package nabor updated to version 0.4.7 with previous version 0.4.6 dated 2015-05-28

Title: Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low Dimensions
Description: An R wrapper for 'libnabo', an exact or approximate k nearest neighbour library which is optimised for low dimensional spaces (e.g. 3D). 'libnabo' has speed and space advantages over the 'ANN' library wrapped by package 'RANN'. 'nabor' includes a knn function that is designed as a drop-in replacement for 'RANN' function nn2. In addition, objects which include the k-d tree search structure can be returned to speed up repeated queries of the same set of target points.
Author: Stephane Mangenat (for 'libnabo'), Gregory Jefferis
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between nabor versions 0.4.6 dated 2015-05-28 and 0.4.7 dated 2017-05-20

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 man/kcpoints.Rd      |    3 +--
 man/knn.Rd           |   35 +++++++++++++++++------------------
 man/nabor-package.Rd |   29 ++++++++++++++---------------
 src/RcppExports.cpp  |   10 +++++-----
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 12 files changed, 91 insertions(+), 86 deletions(-)

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Package dendroextras updated to version 0.2.2 with previous version 0.2.1 dated 2014-08-04

Title: Extra Functions to Cut, Label and Colour Dendrogram Clusters
Description: Provides extra functions to manipulate dendrograms that build on the base functions provided by the 'stats' package. The main functionality it is designed to add is the ability to colour all the edges in an object of class 'dendrogram' according to cluster membership i.e. each subtree is coloured, not just the terminal leaves. In addition it provides some utility functions to cut 'dendrogram' and 'hclust' objects and to set/get labels.
Author: Gregory Jefferis
Maintainer: Gregory Jefferis <jefferis@gmail.com>

Diff between dendroextras versions 0.2.1 dated 2014-08-04 and 0.2.2 dated 2017-05-20

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 14 files changed, 103 insertions(+), 84 deletions(-)

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Package bigQueryR updated to version 0.3.1 with previous version 0.3.0 dated 2017-05-03

Title: Interface with Google BigQuery with Shiny Compatibility
Description: Interface with 'Google BigQuery', see <https://cloud.google.com/bigquery/> for more information. This package uses 'googleAuthR' so is compatible with similar packages, including 'Google Cloud Storage' (<https://cloud.google.com/storage/>) for result extracts.
Author: Mark Edmondson [aut, cre], Hadley Wickham [ctb]
Maintainer: Mark Edmondson <r@sunholo.com>

Diff between bigQueryR versions 0.3.0 dated 2017-05-03 and 0.3.1 dated 2017-05-20

 DESCRIPTION                 |    6 
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 NEWS.md                     |    5 
 R/downloadData.R            |    4 
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 man/bqr_list_projects.Rd    |    2 
 man/bqr_partition.Rd        |    4 
 tests/testthat.R            |    1 
 tests/testthat/test_query.R |   28 +--
 14 files changed, 309 insertions(+), 164 deletions(-)

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New package webmockr with initial version 0.1.0
Package: webmockr
Title: Stubbing and Setting Expectations on 'HTTP' Requests
Description: Stubbing and setting expectations on 'HTTP' requests. Includes tools for stubbing 'HTTP' requests, including expected request conditions and response conditions. Match on 'HTTP' method, query parameters, request body, headers and more.
Version: 0.1.0
Authors@R: person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus+r@gmail.com")
License: MIT + file LICENSE
URL: https://github.com/ropensci/webmockr
BugReports: https://github.com/ropensci/webmockr/issues
LazyData: true
Imports: curl, jsonlite, magrittr (>= 1.5), lazyeval (>= 0.2.0), R6 (>= 2.1.3), urltools (>= 1.6.0)
Suggests: roxygen2 (>= 6.0.1), testthat, crul (>= 0.3.4)
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-20 05:58:16 UTC; sacmac
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-20 07:09:44 UTC

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New package spacyr with initial version 0.9.0
Package: spacyr
Type: Package
Version: 0.9.0
Title: R Wrapper to the spaCy NLP Library
Authors@R: c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("aut", "cre", "cph")), person("Akitaka", "Matsuo", email = "A.Matsuo@lse.ac.uk", role = "aut") )
Description: An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <http://spacy.io>.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.3.0), methods
Imports: data.table, utils, reticulate
Suggests: rmarkdown, testthat, knitr
URL: http://github.com/kbenoit/spacyr
Encoding: UTF-8
BugReports: https://github.com/kbenoit/spacyr/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-19 12:56:37 UTC; kbenoit
Author: Kenneth Benoit [aut, cre, cph], Akitaka Matsuo [aut]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2017-05-20 07:15:06 UTC

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New package quickmatch with initial version 0.1.2
Package: quickmatch
Type: Package
Title: Quick Generalized Full Matching
Version: 0.1.2
Date: 2017-05-19
Authors@R: c( person("Fredrik", "Savje", email = "fredrik.savje@berkeley.edu", role = c("aut", "cre")), person("Jasjeet", "Sekhon", role = "aut"), person("Michael", "Higgins", role = "aut"))
Description: Provides functions for constructing near-optimal generalized full matching. Generalized full matching is an extension of the original full matching method to situations with more intricate study designs. The package is made with large data sets in mind and derives matches more than an order of magnitude quicker than other methods.
Depends: R (>= 3.2.3), distances
Imports: sandwich, scclust, stats
Suggests: testthat
NeedsCompilation: yes
License: GPL (>= 3)
URL: https://github.com/fsavje/quickmatch
BugReports: https://github.com/fsavje/quickmatch/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
Packaged: 2017-05-20 02:39:57 UTC; fredrik
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <fredrik.savje@berkeley.edu>
Repository: CRAN
Date/Publication: 2017-05-20 07:10:51 UTC

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Package PowerTOST updated to version 1.4-5 with previous version 1.4-4 dated 2017-03-16

Title: Power and Sample Size Based on Two One-Sided t-Tests (TOST) for (Bio)Equivalence Studies
Description: Contains functions to calculate power and sample size for various study designs used for bioequivalence studies. See function known.designs() for study designs covered. Moreover the package contains functions for power and sample size based on 'expected' power in case of uncertain (estimated) variability and/or uncertain theta0. ----- Added are functions for the power and sample size for the ratio of two means with normally distributed data on the original scale (based on Fieller's confidence ('fiducial') interval). ----- Contains further functions for power and sample size calculations based on non-inferiority t-test. This is not a TOST procedure but eventually useful if the question of 'non-superiority' must be evaluated. The power and sample size calculations based on non-inferiority test may also performed via 'expected' power in case of uncertain (estimated) variability and/or uncertain theta0. ----- Contains functions power.scABEL() and sampleN.scABEL() to calculate power and sample size for the BE decision via scaled (widened) BE acceptance limits (EMA recommended) based on simulations. Contains also functions scABEL.ad() and sampleN.scABEL.ad() to iteratively adjust alpha in order to maintain the overall consumer risk in ABEL studies and adapt the sample size for the loss in power. Contains further functions power.RSABE() and sampleN.RSABE() to calculate power and sample size for the BE decision via reference scaled ABE criterion according to the FDA procedure based on simulations. Contains further functions power.NTIDFDA() and sampleN.NTIDFDA() to calculate power and sample size for the BE decision via the FDA procedure for NTID's based on simulations. Contains further functions power.HVNTID() and sampleN.HVNTID() to calculate power and sample size for the BE decision via the FDA procedure for highly variable NTID's (see FDA Dabigatran / rivaroxaban guidances) ----- Contains functions for power analysis of a sample size plan for ABE (pa.ABE()), scaled ABE (pa.scABE()) and scaled ABE for NTID's (pa.NTIDFDA()) analysing power if deviating from assumptions of the plan. ----- Contains further functions for power calculations / sample size estimation for dose proportionality studies using the Power model.
Author: Detlew Labes [aut, cre], Helmut Schuetz [aut], Benjamin Lang [aut]
Maintainer: Detlew Labes <DetlewLabes@gmx.de>

Diff between PowerTOST versions 1.4-4 dated 2017-03-16 and 1.4-5 dated 2017-05-20

 DESCRIPTION                          |   13 -
 MD5                                  |   56 +++---
 NAMESPACE                            |    5 
 NEWS                                 |  316 +++++++++++++++++++----------------
 R/DesignHelpers.R                    |  115 ++++++------
 R/pa.scABE.R                         |    9 
 R/power_scABEL_0.R                   |   32 ---
 R/power_scABEL_sdsims.R              |  212 ++++++++++++++---------
 R/pwrA_S3methods.R                   |  215 ++++++++++++-----------
 R/sampleN.scABEL.ad.R                |  122 ++++++-------
 R/scABEL.ad.R                        |  220 ++++++++++++++++--------
 R/simulate_replicate_fixed.R         |    2 
 build/partial.rdb                    |binary
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 man/expsampleN.TOST.Rd               |   24 ++
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 man/pa.NTIDFDA.Rd                    |   26 +-
 man/pa.scABE.Rd                      |   37 ++--
 man/power.RatioF.Rd                  |    2 
 man/power.TOST.sim.Rd                |    2 
 man/power.noninf.Rd                  |   19 +-
 man/power.scABEL.sdsims.Rd           |   29 ++-
 man/pvalue.TOST.Rd                   |    9 
 man/sampleN.RatioF.Rd                |    6 
 man/sampleN.noninf.Rd                |   20 ++
 man/sampleN.scABEL.ad.Rd             |  138 ++++++++-------
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 30 files changed, 1097 insertions(+), 811 deletions(-)

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Package mousetrap updated to version 3.1.0 with previous version 3.0.0 dated 2017-02-10

Title: Process and Analyze Mouse-Tracking Data
Description: Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
Author: Pascal J. Kieslich [aut, cre], Dirk U. Wulff [aut], Felix Henninger [aut], Jonas M. B. Haslbeck [aut], Sarah Brockhaus [ctb]
Maintainer: Pascal J. Kieslich <kieslich@psychologie.uni-mannheim.de>

Diff between mousetrap versions 3.0.0 dated 2017-02-10 and 3.1.0 dated 2017-05-20

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 R/startupmessage.R           |    5 
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 74 files changed, 1514 insertions(+), 629 deletions(-)

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New package gfmR with initial version 1.0-1
Package: gfmR
Type: Package
Title: Implements Group Fused Multinomial Regression
Version: 1.0-1
Date: 2017-05-11
Author: Brad Price
Maintainer: Brad Price <brad.price@mail.wvu.edu>
Depends: R (>= 3.1.0), parallel, nnet, faraway
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: Software to implement methodology to preform automatic response category combinations in multinomial logistic regression. There are functions for both cross validation and AIC for model selection. The method provides regression coefficient estimates that may be useful for better understanding the true probability distribution of multinomial logistic regression when category probabilities are similar. These methods are not recommended for a large number of predictor variables.
License: GPL-2
LazyLoad: yes
NeedsCompilation: yes
URL: https://www.r-project.org
Packaged: 2017-05-19 13:20:45 UTC; brad1
Repository: CRAN
Date/Publication: 2017-05-20 07:14:47 UTC

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New package EventStudy with initial version 0.30
Package: EventStudy
Type: Package
Title: Event Study Analysis in R
Description: Perform Event Studies from through our EventStudyTools.com API interface, parse the results, visualize it, and / or use the results in further analysis.
Author: Dr. Simon Mueller
Date: 2017-03-06
Version: 0.30
Encoding: UTF-8
URL: http://eventstudytools.com
Maintainer: Dr. Simon Mueller <simon.mueller@muon-stat.com>
License: GPL (>= 2)
Depends: ggplot2
Imports: shiny, miniUI, rstudioapi, httr, curl, jsonlite, magrittr (>= 1.5), data.table, dplyr, purrr, scales, tidyquant, RColorBrewer, stringr, readr
Suggests: knitr, rmarkdown
BugReports: https://github.com/EventStudyTools/api-wrapper.r/issues
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-05-19 23:21:30 UTC; info
Repository: CRAN
Date/Publication: 2017-05-20 07:13:18 UTC

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New package coppeCosenzaR with initial version 0.1.0
Package: coppeCosenzaR
Title: COPPE-Cosenza Fuzzy Hierarchy Model
Date: 2017-04-29
Version: 0.1.0
Authors@R: c(person("Pier", "Taranti", email = "ptaranti@gmail.com", role = c("aut","cre")), person("Leonardo", "Pessoa", role = c("aut")), person("Carlos", "Cosenza", role = c("aut")) )
Description: The program implements the COPPE-Cosenza Fuzzy Hierarchy Model. The model was based on the evaluation of local alternatives, representing regional potentialities, so as to fulfill demands of economic projects. After defining demand profiles in terms of their technological coefficients, the degree of importance of factors is defined so as to represent the productive activity. The method can detect a surplus of supply without the restriction of the distance of classical algebra, defining a hierarchy of location alternatives. In COPPE-Cosenza Model, the distance between factors is measured in terms of the difference between grades of memberships of the same factors belonging to two or more sets under comparison. The required factors are classified under the following linguistic variables: Critical (CR); Conditioning (C); Little Conditioning (LC); and Irrelevant (I). And the alternatives can assume the following linguistic variables: Excellent (Ex), Good (G), Regular (R), Weak (W), Empty (Em), Zero (Z) and Inexistent (In). The model also provides flexibility, allowing different aggregation rules to be performed and defined by the Decision Maker. Such feature is considered in this package, allowing the user to define other aggregation matrices, since it considers the same linguistic variables mentioned.
Depends: R (>= 3.2.2)
Imports: methods
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
License: GPL-2 | file LICENSE
URL: https://github.com/ptaranti/coppeCosenzaR
BugReports: https://github.com/ptaranti/coppeCosenzaR/issues
Collate: 'aggregation-matrix.R' 'aggregation-matrix-default.R' 'factor.R' 'factors-of-interest.R' 'option-factor-availability.R' 'option-resources.R' 'option.R' 'option-portfolio.R' 'project-criterion.R' 'project-criteria.R' 'project.R' 'project-portfolio.R' 'coppe-cosenza.R' 'coppe-cosenzaR.R'
NeedsCompilation: no
Packaged: 2017-05-19 15:25:13 UTC; taranti
Author: Pier Taranti [aut, cre], Leonardo Pessoa [aut], Carlos Cosenza [aut]
Maintainer: Pier Taranti <ptaranti@gmail.com>
Repository: CRAN
Date/Publication: 2017-05-20 07:20:16 UTC

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Package clusterSEs updated to version 2.4 with previous version 2.3.3 dated 2017-03-05

Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin@justinesarey.com>

Diff between clusterSEs versions 2.3.3 dated 2017-03-05 and 2.4 dated 2017-05-20

 DESCRIPTION               |   10 ++---
 MD5                       |   44 ++++++++++++-----------
 R/clusterBS.glm.R         |   86 ++++++++++++++++++++++++++++++++++++++++++----
 R/clusterBS.ivreg.R       |   24 +++++++++++-
 R/clusterBS.mlogit.R      |   29 ++++++++++++---
 R/clusterBS.plm.R         |   17 ++++++++-
 R/clusterIM.glm.R         |   66 +++++++++++++++++++++++++++++++++--
 R/clusterIM.ivreg.R       |   14 +++++--
 R/clusterIM.mlogit.R      |   14 +++++--
 R/clusterwild.glm.R       |   69 +++++++++++++++++++++++++++++++++++-
 R/clusterwild.ivreg.R     |   21 ++++++++++-
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 man/cluster.bs.plm.Rd     |   14 ++++---
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 man/cluster.im.ivreg.Rd   |   13 ++++--
 man/cluster.im.mlogit.Rd  |   13 ++++--
 man/cluster.wild.glm.Rd   |   67 ++++++++++++++++++++++++++++++++---
 man/cluster.wild.ivreg.Rd |   19 ++++++----
 man/cluster.wild.plm.Rd   |   13 ++++--
 24 files changed, 616 insertions(+), 117 deletions(-)

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New package castor with initial version 1.0
Package: castor
Type: Package
Title: Efficient Comparative Phylogenetics on Large Trees
Version: 1.0
Date: 2017-04-20
Author: Stilianos Louca
Maintainer: Stilianos Louca <louca@zoology.ubc.ca>
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 models of trait evolution, and generating random trees using birth-death models.
License: GPL (>= 2)
Depends: Rcpp (>= 0.12.10), naturalsort, stats
Imports: parallel
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2017-05-19 21:55:00 UTC; stilianoslouca
Repository: CRAN
Date/Publication: 2017-05-20 07:13:55 UTC

More information about castor at CRAN
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Package bookdown updated to version 0.4 with previous version 0.3 dated 2016-11-28

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre], JJ Allaire [ctb], RStudio Inc [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between bookdown versions 0.3 dated 2016-11-28 and 0.4 dated 2017-05-20

 DESCRIPTION                                    |   13 +--
 MD5                                            |   78 ++++++++++--------
 NAMESPACE                                      |    2 
 NEWS.md                                        |   34 +++++++
 R/ebook.R                                      |    4 
 R/gitbook.R                                    |   20 +++-
 R/html.R                                       |   78 +++++++++++++-----
 R/latex.R                                      |   39 +++++++--
 R/render.R                                     |   11 ++
 R/skeleton.R                                   |only
 R/utils.R                                      |  108 ++++---------------------
 R/word.R                                       |    2 
 inst/CITATION                                  |    4 
 inst/resources/gitbook/css/plugin-bookdown.css |    3 
 inst/resources/gitbook/css/plugin-search.css   |    3 
 inst/resources/gitbook/css/style.css           |    2 
 inst/resources/gitbook/js/lunr.js              |    2 
 inst/resources/gitbook/js/plugin-bookdown.js   |   18 +++-
 inst/resources/gitbook/js/plugin-search.js     |    2 
 inst/rstudio/templates                         |only
 inst/templates/gitbook.html                    |   32 +++++--
 man/bookdown_site.Rd                           |    1 
 man/build_chapter.Rd                           |    1 
 man/calibre.Rd                                 |    3 
 man/clean_book.Rd                              |    1 
 man/epub_book.Rd                               |    1 
 man/gitbook.Rd                                 |    1 
 man/html_chapters.Rd                           |    3 
 man/html_document2.Rd                          |    5 -
 man/kindlegen.Rd                               |    1 
 man/pdf_book.Rd                                |   10 ++
 man/publish_book.Rd                            |    1 
 man/render_book.Rd                             |    7 -
 man/serve_book.Rd                              |    6 -
 34 files changed, 308 insertions(+), 188 deletions(-)

More information about bookdown at CRAN
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