Wed, 13 Mar 2019

Package radtools updated to version 1.0.4 with previous version 1.0.3 dated 2019-01-16

Title: Utilities for Convenient Extraction of Medical Image Metadata
Description: A collection of utilities for navigating medical image data. The DICOM and NIfTI formats are supported. Functions provide simple interfaces to the data and metadata contained in these formats. A particular emphasis on metadata allows simple conversion of image metadata to familiar R data structures such as lists and data frames. Where possible, generic functions can silently process either DICOM or NIfTI data. Additionally, image data can be extracted and viewed.
Author: Pamela Russell [aut, cre]
Maintainer: Pamela Russell <pamela.russell@ucdenver.edu>

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Package rdlocrand updated to version 0.4 with previous version 0.3 dated 2018-03-15

Title: Local Randomization Methods for RD Designs
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. Under the local randomization approach, RD designs can be interpreted as randomized experiments inside a window around the cutoff. This package provides tools to perform randomization inference for RD designs under local randomization: rdrandinf() to perform hypothesis testing using randomization inference, rdwinselect() to select a window around the cutoff in which randomization is likely to hold, rdsensitivity() to assess the sensitivity of the results to different window lengths and null hypotheses and rdrbounds() to construct Rosenbaum bounds for sensitivity to unobserved confounders.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>

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Package modeest updated to version 2.3.3 with previous version 2.3.2 dated 2018-10-30

Title: Mode Estimation
Description: Provides estimators of the mode of univariate data or univariate distributions.
Author: Paul Poncet [aut, cre]
Maintainer: Paul Poncet <paulponcet@yahoo.fr>

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Package flsa updated to version 1.5.1 with previous version 1.05 dated 2013-03-23

Title: Path Algorithm for the General Fused Lasso Signal Approximator
Description: Implements a path algorithm for the Fused Lasso Signal Approximator. For more details see the help files or the article by Hoefling (2009) <arXiv:0910.0526>.
Author: Holger Hoefling
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package panelView updated to version 1.1.2 with previous version 1.0.5 dated 2018-08-20

Title: Visualizing Panel Data
Description: Visualizes panel data. It has two main functionalities: (1) it visualizes the treatment and missing-value statuses of each observation in a panel/time-series-cross-sectional (TSCS) dataset; and (2) it plots the outcome variable (either continuous or discrete) in a time-series fashion.
Author: Licheng Liu, Yiqing Xu
Maintainer: Yiqing Xu <yiqingxu@ucsd.edu>

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Package obliqueRSF updated to version 0.1.1 with previous version 0.1.0 dated 2018-11-02

Title: Oblique Random Forests for Right-Censored Time-to-Event Data
Description: Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <DOI:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <DOI:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables.
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <bcjaeger@uab.edu>

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New package MM2Sdata with initial version 1.0.2
Package: MM2Sdata
Type: Package
Title: Gene Expression Datasets for the 'MM2S' Package
Version: 1.0.2
Date: 2019-03-12
Author: Deena M.A. Gendoo <deena.gendoo@utoronto.ca>, Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Description: Gene Expression datasets for the 'MM2S' package. Contains normalized expression data for Human Medulloblastoma ('GSE37418') as well as Mouse Medulloblastoma models ('GSE36594').
License: Artistic-2.0
Depends: R (>= 2.10), Biobase
Suggests: knitr
VignetteBuilder: knitr
biocViews: MM2S, ExperimentData,ExpressionData, MicroarrayData
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-13 19:55:06 UTC; gangesh
Repository: CRAN
Date/Publication: 2019-03-13 21:03:40 UTC

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Package MALDIquant updated to version 1.19.2 with previous version 1.18 dated 2018-07-06

Title: Quantitative Analysis of Mass Spectrometry Data
Description: A complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.
Author: Sebastian Gibb [aut, cre] (<https://orcid.org/0000-0001-7406-4443>), Korbinian Strimmer [ths] (<https://orcid.org/0000-0001-7917-2056>)
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

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Package loo updated to version 2.1.0 with previous version 2.0.0 dated 2018-04-11

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Yuling Yao [aut], Paul-Christian Bürkner [ctb], Ben Goodrich [ctb], Juho Piironen [ctb], Mans Magnusson [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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Package DataPackageR updated to version 0.15.6 with previous version 0.15.5 dated 2019-03-11

Title: Construct Reproducible Analytic Data Sets as R Packages
Description: A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual R CMD build process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled in github, and used to share data for manuscripts, collaboration and general reproducibility.
Author: Greg Finak [aut, cre, cph], Paul Obrecht [ctb], Ellis Hughes [ctb], Kara Woo [rev] (Kara reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>), William Landau [rev] (William reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>)
Maintainer: Greg Finak <gfinak@fredhutch.org>

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Package apollo updated to version 0.0.6 with previous version 0.0.1 dated 2019-01-16

Title: Tools for Choice Model Estimation and Application
Description: The Choice Modelling Centre at the University of Leeds has developed flexible estimation code for choice models in R. Users are able to write their own likelihood functions or use a mix of already available ones. Mixing, in the form of random coefficients and components is allowed for all models. Both classical and Bayesian estimation are available. Multi-threading processing is supported. For more information on discrete choice models see Train, K. (2009) <isbn:978-0-521-74738-7>.
Author: Stephane Hess [aut], David Palma [aut, cre]
Maintainer: David Palma <D.Palma@leeds.ac.uk>

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Package neighbr updated to version 1.0.1 with previous version 1.0 dated 2017-02-23

Title: Classification, Regression, Clustering with K Nearest Neighbors
Description: Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
Author: Dmitriy Bolotov [aut, cre], Zementis Inc [cph]
Maintainer: Dmitriy Bolotov <dmitriy.bolotov@softwareag.com>

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Package AGread updated to version 0.2.2 with previous version 0.2.0 dated 2019-02-17

Title: Read Data Files from ActiGraph Monitors
Description: Standardize the process of bringing various modes of output files into R. For more information, see: <https://actigraph.desk.com/customer/en/portal/articles/2515800-what-do-the-different-mode-numbers-mean-in-a-csv-or-dat-file->. Additionally, processes are provided to read and minimally pre- process raw data from primary accelerometer and inertial measurement unit files, as well as binary .gt3x files. ActiGraph monitors are used to estimate physical activity outcomes via body-worn sensors that measure (e.g.) acceleration or rotational velocity.
Author: Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb], Samuel R. LaMunion [ctb], Daniel Judge [ctb], Judge Maygarden [ctb], ActiGraph LLC [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

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Package librarian updated to version 1.7.0 with previous version 1.6.0 dated 2019-02-21

Title: Install, Update, Load Packages from CRAN, 'GitHub', and 'Bioconductor' in One Step
Description: Automatically install, update, and load 'CRAN', 'GitHub', and 'Bioconductor' packages in a single function call. By accepting bare unquoted names for packages, it's easy to add or remove packages from the list.
Author: Desi Quintans [aut, cre]
Maintainer: Desi Quintans <science@desiquintans.com>

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Package gaselect updated to version 1.0.7 with previous version 1.0.6 dated 2019-03-04

Title: Genetic Algorithm (GA) for Variable Selection from High-Dimensional Data
Description: Provides a genetic algorithm for finding variable subsets in high dimensional data with high prediction performance. The genetic algorithm can use ordinary least squares (OLS) regression models or partial least squares (PLS) regression models to evaluate the prediction power of variable subsets. By supporting different cross-validation schemes, the user can fine-tune the tradeoff between speed and quality of the solution.
Author: David Kepplinger
Maintainer: David Kepplinger <david.kepplinger@gmail.com>

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Package secsse (with last version 1.0.3) was removed from CRAN

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

2019-03-13 1.0.3

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Package mDAG updated to version 1.2 with previous version 1.1 dated 2019-03-01

Title: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph
Description: Learning a mixed directed acyclic graph based on both continuous and categorical data.
Author: Wujuan Zhong, Li Dong
Maintainer: Wujuan Zhong <zhongwujuan@gmail.com>

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Package geofacet updated to version 0.1.10 with previous version 0.1.9 dated 2018-03-29

Title: 'ggplot2' Faceting Utilities for Geographical Data
Description: Provides geofaceting functionality for 'ggplot2'. Geofaceting arranges a sequence of plots of data for different geographical entities into a grid that preserves some of the geographical orientation.
Author: Ryan Hafen [aut, cre], Barret Schloerke [ctb]
Maintainer: Ryan Hafen <rhafen@gmail.com>

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Package bayesCT updated to version 0.99.1 with previous version 0.99.0 dated 2019-01-30

Title: Simulation and Analysis of Adaptive Bayesian Clinical Trials
Description: Simulation and analysis of Bayesian adaptive clinical trial, incorporates historical data and allows early stopping for futility or early success.
Author: Thevaa Chandereng [aut, cre, cph] (<https://orcid.org/0000-0003-4078-9176>), Donald Musgrove [aut, cph], Tarek Haddad [aut, cph], Graeme Hickey [aut, cph], Timothy Hanson [aut, cph], Theodore Lystig [aut, cph]
Maintainer: Thevaa Chandereng <chandereng@wisc.edu>

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New package sparkxgb with initial version 0.1.0
Package: sparkxgb
Type: Package
Title: Interface for 'XGBoost' on 'Apache Spark'
Version: 0.1.0
Authors@R: person("Kevin", "Kuo", email = "kevin.kuo@rstudio.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7803-7901"))
Maintainer: Kevin Kuo <kevin.kuo@rstudio.com>
Description: A 'sparklyr' <https://spark.rstudio.com/> extension that provides an interface for 'XGBoost' <https://github.com/dmlc/xgboost> on 'Apache Spark'. 'XGBoost' is an optimized distributed gradient boosting library.
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
SystemRequirements: Apache Spark 2.3+
Depends: R (>= 3.1.2)
Imports: sparklyr (>= 1.0), forge (>= 0.2.0)
RoxygenNote: 6.1.0
Suggests: testthat, dplyr, purrr, rlang
NeedsCompilation: no
Packaged: 2019-03-09 00:40:28 UTC; kevinykuo
Author: Kevin Kuo [aut, cre] (<https://orcid.org/0000-0001-7803-7901>)
Repository: CRAN
Date/Publication: 2019-03-13 17:30:03 UTC

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Package readxl updated to version 1.3.1 with previous version 1.3.0 dated 2019-02-15

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <http://rapidxml.sourceforge.net>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd] (Copyright holder of all R code and all C/C++ code without explicit copyright attribution), Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Komarov Valery [ctb, cph] (Author of included libxls code), Christophe Leitienne [ctb, cph] (Author of included libxls code), Bob Colbert [ctb, cph] (Author of included libxls code), David Hoerl [ctb, cph] (Author of included libxls code), Evan Miller [ctb, cph] (Author of included libxls code)
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between readxl versions 1.3.0 dated 2019-02-15 and 1.3.1 dated 2019-03-13

 DESCRIPTION                         |   10 +++++-----
 MD5                                 |   14 +++++++-------
 NEWS.md                             |    4 ++++
 README.md                           |    2 +-
 inst/doc/cell-and-column-types.html |   12 ++++++------
 inst/doc/sheet-geometry.html        |   14 +++++++-------
 man/readxl-package.Rd               |    4 ++--
 tests/testthat/test-col-names.R     |   24 ++++++++++++++++++++----
 8 files changed, 52 insertions(+), 32 deletions(-)

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New package pubtatordb with initial version 0.1.3
Package: pubtatordb
Type: Package
Title: Create and Query a Local 'PubTator' Database
Version: 0.1.3
Authors@R: c( person("Zachary", "Colburn", email = "zcolburn@gmail.com", role = c("aut", "cre")), person("Madigan Army Medical Center - Department of Clinical Investigation", email = "usarmy.jblm.medcom-mamc.mbx.dci@mail.mil", role = c("cph", "fnd")) )
Maintainer: Zachary Colburn <zcolburn@gmail.com>
Description: 'PubTator' <https://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator/> is a National Center for Biotechnology Information (NCBI) tool that enhances the annotation of articles on PubMed <https://www.ncbi.nlm.nih.gov/pubmed/>. It makes it possible to rapidly identify potential relationships between genes or proteins using text mining techniques. In contrast, manually searching for and reading the annotated articles would be very time consuming. 'PubTator' offers both an online interface and a RESTful API, however, neither of these approaches are well suited for frequent, high-throughput analyses. The package 'pubtatordb' provides a set of functions that make it easy for the average R user to download 'PubTator' annotations, create, and then query a local version of the database.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: covr, testthat, knitr, rmarkdown
Imports: DBI, R.utils, RSQLite, assertthat, dplyr, readr
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-13 15:35:56 UTC; mamcdci
Author: Zachary Colburn [aut, cre], Madigan Army Medical Center - Department of Clinical Investigation [cph, fnd]
Repository: CRAN
Date/Publication: 2019-03-13 16:00:03 UTC

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New package paws.common with initial version 0.1.0
Package: paws.common
Type: Package
Title: Paws Low-Level Amazon Web Services API
Version: 0.1.0
Authors@R: c( person("David", "Kretch", email = "david.kretch@gmail.com", role = c("aut", "cre")), person("Adam", "Banker", email = "adam.banker39@gmail.com", role = "aut"), person("Amazon.com, Inc.", role = "cph") )
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
Imports: base64enc, digest, httr, ini, jsonlite, methods, utils, xml2
Suggests: covr, testthat
SystemRequirements: pandoc (>= 1.12.3) - http://pandoc.org
RoxygenNote: 6.1.1
Collate: 'struct.R' 'handlers.R' 'url.R' 'net.R' 'credential_providers.R' 'credentials.R' 'client.R' 'config.R' 'convert.R' 'dateutil.R' 'error.R' 'handlers_core.R' 'handlers_ec2query.R' 'handlers_jsonrpc.R' 'handlers_query.R' 'handlers_rest.R' 'handlers_restjson.R' 'handlers_restxml.R' 'idempotency.R' 'jsonutil.R' 'populate.R' 'populateutil.R' 'tags.R' 'queryutil.R' 'request.R' 'service.R' 'signer_v4.R' 'signer_s3.R' 'signer_s3v4.R' 'signer_v2.R' 'time.R' 'util.R' 'xmlutil.R'
NeedsCompilation: no
Packaged: 2019-03-13 01:40:59 UTC; david.kretch
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-13 16:00:06 UTC

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New package kaos with initial version 0.1.0
Package: kaos
Type: Package
Title: Encoding of Sequences Based on Frequency Matrix Chaos Game Representation
Version: 0.1.0
Author: Dominik Eger and Hannah Franziska Löchel
Maintainer: Hannah Franziska Löchel <loechelh@mathematik.uni-marburg.de>
Description: Sequences encoding by using the chaos game representation. Löchel et al. (2019) <doi:10.1101/575324>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: ggplot2, reshape2
NeedsCompilation: no
Packaged: 2019-03-13 15:32:21 UTC; franzi
Repository: CRAN
Date/Publication: 2019-03-13 16:00:10 UTC

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New package DepLogo with initial version 1.0
Package: DepLogo
Type: Package
Title: Dependency Logo
Version: 1.0
Authors@R: c(person("Jan", "Grau", email = "grau@informatik.uni-halle.de", role = c("aut", "cre")), person("Jens", "Keilwagen", role = c("aut")), person("Martin", "Nettling",role = c("aut")) )
Maintainer: Jan Grau <grau@informatik.uni-halle.de>
Description: Plots dependency logos from a set of input sequences.
License: GPL-3
NeedsCompilation: no
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Suggests: knitr, testthat
Packaged: 2019-03-13 13:30:19 UTC; dev
Author: Jan Grau [aut, cre], Jens Keilwagen [aut], Martin Nettling [aut]
Repository: CRAN
Date/Publication: 2019-03-13 16:23:27 UTC

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New package TreeLS with initial version 1.0
Package: TreeLS
Type: Package
Title: Terrestrial Point Cloud Processing of Forest Data
Version: 1.0
Authors@R: c(person("Tiago", "de Conto", email = "ti@forlidar.com.br", role = c("aut", "cre")))
Description: Algorithms for tree detection, noise removal, stem modelling, 3D visualization and manipulation of terrestrial 'LiDAR' (but not only) point clouds, currently focusing on high performance applications for forest inventory - being fully compatible with the 'LAS' infrastructure provided by 'lidR'. For in depth descriptions of the stem classification and segmentation algorithms check out Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.
URL: https://github.com/tiagodc/TreeLS
Depends: R (>= 3.3.0), data.table (>= 1.12.0), magrittr (>= 1.5), lidR (>= 2.0.0)
Imports: rgl (>= 0.99.0), raster (>= 2.8.19)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp,BH,RcppEigen
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-03-12 21:06:08 UTC; tiago
Author: Tiago de Conto [aut, cre]
Maintainer: Tiago de Conto <ti@forlidar.com.br>
Repository: CRAN
Date/Publication: 2019-03-13 15:43:25 UTC

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New package raustats with initial version 0.1.0
Package: raustats
Type: Package
Title: Access Data and Statistics from the ABS and RBA Websites
Description: Functions for downloading Australian economic statistics from the Australian Bureau of Statistics (ABS) (see <https://www.abs.gov.au/>) and Reserve Bank of Australia (RBA) (see <https://www.rba.gov.au/>) websites.
Version: 0.1.0
Date: 2019-03-03
Authors@R: c( person("David", "Mitchell", email = "david.pk.mitchell@gmail.com", role = c("aut", "cre")) )
Maintainer: David Mitchell <david.pk.mitchell@gmail.com>
URL: https://github.com/mitcda/raustats
License: GPL-3
Depends: R (>= 3.3.0), readxl
Imports: stats, dplyr, httr, jsonlite, rvest, tidyr, xml2, lubridate
Suggests: repo, knitr, rmarkdown, testthat, ggplot2
LazyData: TRUE
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2019-03-12 09:32:51 UTC; david
Author: David Mitchell [aut, cre]
Repository: CRAN
Date/Publication: 2019-03-13 15:20:03 UTC

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New package MedSurvey with initial version 1.0
Package: MedSurvey
Title: Mediation Analysis for Complex Surveys
Version: 1.0
Author: Yujiao Mai [aut,cre], Jiahui Xu [aut], Deo Kumar Srivastava [aut], Hui Zhang [aut]
Maintainer: Yujiao Mai <maiyujiao@gmail.com>
Description: It is a computer tool to conduct mediation analysis for complex surveys using multi-stage sampling. Specifically, the mediation analysis method using balanced repeated replications was proposed by Mai, Ha, and Soulakova (2019) <DOI:10.1080/10705511.2018.1559065>. The development of 'MedSurvey' was sponsored by American Lebanese Syrian Associated Charities (ALSAC). However, the contents of MedSurvey do not necessarily represent the policy of the ALSAC.
Depends: R (>= 2.50), stats, Matrix, survey, lavaan, parallel
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://sjbiostat.shinyapps.io/MedSurvey/
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-09 07:51:44 UTC; ymai
Repository: CRAN
Date/Publication: 2019-03-13 15:43:30 UTC

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Package linearQ updated to version 2.0 with previous version 1.0 dated 2018-03-01

Title: Linear Algorithm for Simulating Quantiles in Multiscale Change-Point Segmentation Problem
Description: It is a linear algorithm to simulate quantiles of multiscale statistics under hull hypothesis for multiscale change-point segmentation. The reference is in preparation.
Author: Chengcheng Huang [aut,cre], Housen Li[aut]
Maintainer: Chengcheng Huang <huangchengcheng12@nudt.edu.cn>

Diff between linearQ versions 1.0 dated 2018-03-01 and 2.0 dated 2019-03-13

 DESCRIPTION       |    8 ++++----
 MD5               |    6 +++---
 build/partial.rdb |binary
 src/auxFun.cpp    |    2 +-
 4 files changed, 8 insertions(+), 8 deletions(-)

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New package runstats with initial version 1.0.1
Package: runstats
Type: Package
Title: Fast Computation of Running Statistics for Time Series
Version: 1.0.1
Authors@R: c( person("Marta", "Karas", email = "marta.karass@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5889-3970")), person("Jacek", "Urbanek", role = c("aut"), comment = c(ORCID = "0000-0002-1890-8899")), person("John", "Muschelli", role = c("ctb"), comment = c(ORCID = "0000-0001-6469-1750")) )
Description: Provides methods for fast computation of running sample statistics for time series. These include: (1) mean, (2) standard deviation, and (3) variance over a fixed-length window of time-series, (4) correlation, (5) covariance, and (6) Euclidean distance (L2 norm) between short-time pattern and time-series. Implemented methods utilize Convolution Theorem to compute convolutions via Fast Fourier Transform (FFT).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/martakarass/runstats
BugReports: https://github.com/martakarass/runstats/issues
Suggests: covr, testthat, ggplot2, knitr, rmarkdown, sessioninfo, rbenchmark, cowplot, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-03-07 02:59:12 UTC; martakaras
Author: Marta Karas [aut, cre] (<https://orcid.org/0000-0001-5889-3970>), Jacek Urbanek [aut] (<https://orcid.org/0000-0002-1890-8899>), John Muschelli [ctb] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: Marta Karas <marta.karass@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-13 14:00:03 UTC

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New package rrscale with initial version 0.1.3
Package: rrscale
Title: Robust Re-Scaling to Better Recover Latent Effects in Data
Version: 0.1.3
Authors@R: person("Gregory", "Hunt", email = "ghunt@wm.edu", role = c("aut", "cre"))
Description: Non-linear transformations of data to better discover latent effects. Applies a sequence of three transformations (1) a Gaussianizing transformation, (2) a Z-score transformation, and (3) an outlier removal transformation.
Date: 2019-3-11
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: foreach, parallel, doParallel, DEoptim, abind
Suggests: knitr, rmarkdown, testthat, ggplot2, reshape2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-11 14:36:26 UTC; greg
Author: Gregory Hunt [aut, cre]
Maintainer: Gregory Hunt <ghunt@wm.edu>
Repository: CRAN
Date/Publication: 2019-03-13 14:00:07 UTC

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New package Replication with initial version 0.1.0
Package: Replication
Type: Package
Title: Test Replications by Means of the Prior Predictive p-Value
Version: 0.1.0
Authors@R: c( person(c("M.A.J."), "Zondervan-Zwijnenburg", role = c("aut","cre"), email = "m.a.j.zwijnenburg@uu.nl"), person(c("Herbert"), "Hoijtink", role = c("ths"), email = "h.hoijtink@uu.nl"), person(c("Caspar", "J"), "van Lissa", role = c("ctb"), email = "c.j.vanlissa@uu.nl"), person("Consortium Individual Development", role = "fnd", comment="NWO grant number 024.001.003") )
Description: Allows for the computation of a prior predictive p-value to test replication of relevant features of original studies. Relevant features are captured in informative hypotheses. The package also allows for the computation of power. The statistical underpinnings are described in Zondervan-Zwijnenburg (2019) <doi:10.31234/osf.io/uvh5s>.
License: GPL (>= 3)
Depends: lavaan(>= 0.6-3), blavaan, mice
Imports: quadprog, graphics, MASS, runjags(>= 2.0.4-2), rjags
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-03-12 08:04:47 UTC; marielle
Author: M.A.J. Zondervan-Zwijnenburg [aut, cre], Herbert Hoijtink [ths], Caspar J van Lissa [ctb], Consortium Individual Development [fnd] (NWO grant number 024.001.003)
Maintainer: M.A.J. Zondervan-Zwijnenburg <m.a.j.zwijnenburg@uu.nl>
Repository: CRAN
Date/Publication: 2019-03-13 14:53:35 UTC

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New package xgb2sql with initial version 0.1.2
Package: xgb2sql
Type: Package
Title: Convert Trained 'XGBoost' Model to SQL Query
Version: 0.1.2
Description: This tool enables in-database scoring of 'XGBoost' models built in R, by translating trained model objects into SQL query. 'XGBoost' <https://xgboost.readthedocs.io/en/latest/index.html> provides parallel tree boosting (also known as gradient boosting machine, or GBM) algorithms in a highly efficient, flexible and portable way. GBM algorithm is introduced by Friedman (2001) <doi:10.1214/aos/1013203451>, and more details on 'XGBoost' can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
Authors@R: c( person("Chengjun", "Hou", role = c("aut", "cre"), email = "chengjun.hou@gmail.com"), person("Abhishek", "Bishoyi", role = c("aut"), email = "abhishek.bishoyi@gmail.com") )
Author: Chengjun Hou [aut, cre], Abhishek Bishoyi [aut]
Maintainer: Chengjun Hou <chengjun.hou@gmail.com>
URL: https://github.com/chengjunhou/xgb2sql
BugReports: https://github.com/chengjunhou/xgb2sql/issues
Depends: R (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: xgboost (>= 0.81.0.1), data.table (>= 1.12.0)
Suggests: ggplot2, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-09 04:20:22 UTC; Chengjun
Repository: CRAN
Date/Publication: 2019-03-13 13:50:03 UTC

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New package waiter with initial version 0.0.1
Package: waiter
Title: Loading Screen for 'Shiny'
Version: 0.0.1
Date: 2019-03-10
Authors@R: person(given = "John", family = "Coene", role = c("aut", "cre"), email = "jcoenep@gmail.com")
Description: Full screen splash loading screens for 'Shiny'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: shiny
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-11 08:39:14 UTC; jcoe
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-13 13:30:02 UTC

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New package secsse with initial version 1.0.3
Package: secsse
Title: Several Examined and Concealed States-Dependent Speciation and Extinction
Version: 1.0.3
Date: 2019-03-13
License: GPL-3
Authors@R: c( person("Leonel", "Herrera Alsina", email = "leonelhalsina@gmail.com", role = "cre"), person("Paul", "van Els", email = "paulvanels@gmail.com", role = "aut"), person("Rampal", "Etienne", email = "r.s.etienne@rug.nl", role = "aut"))
Description: Combines the features of HiSSE and MuSSE to simultaneously infer state-dependent diversification across two or more traits or states while accounting for the role of a possible concealed trait. See Herrera-Alsina et al. Systematic Biology, in press <DOI:10.1093/sysbio/syy057>.
Depends: R (>= 3.5.0)
Imports: utils, DDD (> 3.0), ape, foreach, doParallel, apTreeshape, phylobase, geiger, deSolve
Suggests: testthat, testit, knitr, rmarkdown
Enhances: doMC
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Packaged: 2019-03-13 10:08:51 UTC; rampa
Author: Leonel Herrera Alsina [cre], Paul van Els [aut], Rampal Etienne [aut]
Maintainer: Leonel Herrera Alsina <leonelhalsina@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-13 13:10:03 UTC

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Package phylin updated to version 2.0 with previous version 1.1.1 dated 2015-11-03

Title: Spatial Interpolation of Genetic Data
Description: The spatial interpolation of genetic distances between samples is based on a modified kriging method that accepts a genetic distance matrix and generates a map of probability of lineage presence. This package also offers tools to generate a map of potential contact zones between groups with user-defined thresholds in the tree to account for old and recent divergence. Additionally, it has functions for IDW interpolation using genetic data and midpoints.
Author: Pedro Tarroso, Guillermo Velo-Anton, Silvia Carvalho
Maintainer: Pedro Tarroso <ptarroso@cibio.up.pt>

Diff between phylin versions 1.1.1 dated 2015-11-03 and 2.0 dated 2019-03-13

 phylin-1.1.1/phylin/R/plot.gv_WITHMULTI.R           |only
 phylin-1.1.1/phylin/R/real.dist.R                   |only
 phylin-1.1.1/phylin/man/real.dist.Rd                |only
 phylin-2.0/phylin/DESCRIPTION                       |   14 --
 phylin-2.0/phylin/MD5                               |   67 ++++++----
 phylin-2.0/phylin/NAMESPACE                         |    8 -
 phylin-2.0/phylin/R/gen.variogram.R                 |   33 +++--
 phylin-2.0/phylin/R/gen.variogram.multi.R           |   24 ---
 phylin-2.0/phylin/R/gen.variogram.single.R          |   21 ---
 phylin-2.0/phylin/R/geo.dist.R                      |only
 phylin-2.0/phylin/R/grid.image.R                    |   27 ++--
 phylin-2.0/phylin/R/gv.model.R                      |  123 +++++++++-----------
 phylin-2.0/phylin/R/idw.R                           |   12 -
 phylin-2.0/phylin/R/krig.R                          |  114 ++++++++++++------
 phylin-2.0/phylin/R/mtest.gv.R                      |    8 -
 phylin-2.0/phylin/R/plot.gv.R                       |   88 ++++++++++----
 phylin-2.0/phylin/R/predict.gv.R                    |   63 +++++-----
 phylin-2.0/phylin/R/print.gv.R                      |only
 phylin-2.0/phylin/build/vignette.rds                |binary
 phylin-2.0/phylin/data/simulations.rda              |only
 phylin-2.0/phylin/inst/CITATION                     |only
 phylin-2.0/phylin/inst/doc/phylin_tutorial.R        |   55 +++++---
 phylin-2.0/phylin/inst/doc/phylin_tutorial.Snw      |   28 +++-
 phylin-2.0/phylin/inst/doc/phylin_tutorial.pdf      |binary
 phylin-2.0/phylin/inst/doc/resistance_tutorial.R    |only
 phylin-2.0/phylin/inst/doc/resistance_tutorial.Snw  |only
 phylin-2.0/phylin/inst/doc/resistance_tutorial.pdf  |only
 phylin-2.0/phylin/man/gen.variogram.Rd              |   12 -
 phylin-2.0/phylin/man/geo.dist.Rd                   |only
 phylin-2.0/phylin/man/gv.model.Rd                   |   83 ++++++++-----
 phylin-2.0/phylin/man/idw.Rd                        |   16 ++
 phylin-2.0/phylin/man/intgen.idw.Rd                 |   25 +++-
 phylin-2.0/phylin/man/krig.Rd                       |   86 ++++++++++---
 phylin-2.0/phylin/man/multispecies.Rd               |    2 
 phylin-2.0/phylin/man/phylin-package.Rd             |   45 ++++---
 phylin-2.0/phylin/man/plot.gv.Rd                    |   43 ++++++
 phylin-2.0/phylin/man/print.gv.Rd                   |only
 phylin-2.0/phylin/man/simul.env.Rd                  |only
 phylin-2.0/phylin/man/simul.gen.dist.Rd             |only
 phylin-2.0/phylin/man/simul.sample.Rd               |only
 phylin-2.0/phylin/vignettes/phylin_tutorial.Snw     |   28 +++-
 phylin-2.0/phylin/vignettes/references2.bib         |only
 phylin-2.0/phylin/vignettes/resistance_tutorial.Snw |only
 43 files changed, 634 insertions(+), 391 deletions(-)

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Package lmfor updated to version 1.3 with previous version 1.2 dated 2017-01-05

Title: Functions for Forest Biometrics
Description: Functions for different purposes related to Forest biometrics, including illustrative graphics, numerical computation, modeling height-diameter relationships, prediction of tree volumes, modelling of diameter distributions and estimation off stand density using ITD. Several empirical datasets are also included.
Author: Lauri Mehtatalo
Maintainer: Lauri Mehtatalo <lauri.mehtatalo@uef.fi>

Diff between lmfor versions 1.2 dated 2017-01-05 and 1.3 dated 2019-03-13

 DESCRIPTION          |   14 ++++---
 MD5                  |   30 +++++++++++----
 NAMESPACE            |    5 +-
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Package eiPack updated to version 0.1-9 with previous version 0.1-8 dated 2018-12-07

Title: Ecological Inference and Higher-Dimension Data Management
Description: Provides methods for analyzing R by C ecological contingency tables using the extreme case analysis, ecological regression, and Multinomial-Dirichlet ecological inference models. Also provides tools for manipulating higher-dimension data objects.
Author: Olivia Lau <olivia.lau@post.harvard.edu>, Ryan T. Moore <rtm@american.edu>, Michael Kellermann <mrkellermann@gmail.com>
Maintainer: Michael Kellermann <mrkellermann@gmail.com>

Diff between eiPack versions 0.1-8 dated 2018-12-07 and 0.1-9 dated 2019-03-13

 DESCRIPTION      |    8 ++++----
 MD5              |   10 +++++-----
 src/rbycei.c     |    6 +++++-
 src/rbycei2.c    |   12 ++++++++----
 src/rbyceicov2.c |    6 +++---
 src/rbyceicov4.c |   10 +++++++---
 6 files changed, 32 insertions(+), 20 deletions(-)

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Package CLA updated to version 0.95-0 with previous version 0.90-1 dated 2018-02-06

Title: Critical Line Algorithm in Pure R
Description: Implements 'Markovitz' Critical Line Algorithm ('CLA') for classical mean-variance portfolio optimization, see Markovitz (1952) <doi:10.2307/2975974>. Care has been taken for correctness in light of previous buggy implementations.
Author: Yanhao Shi <syhelena@163.com>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between CLA versions 0.90-1 dated 2018-02-06 and 0.95-0 dated 2019-03-13

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 MD5                  |   28 +++++---
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 TODO                 |   22 ++++--
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 16 files changed, 228 insertions(+), 110 deletions(-)

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Package camtrapR updated to version 1.1 with previous version 1.0 dated 2018-10-27

Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Description: Management of and data extraction from camera trap photographs in wildlife studies. The package provides a workflow for storing and sorting camera trap photos, tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it provides simple mapping functions (number of species, number of independent species detections by station including GIS export) and can visualise species activity data.
Author: Juergen Niedballa [aut, cre], Alexandre Courtiol [aut], Rahel Sollmann [aut], John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb], Azlan bin Mohamed [ctb], Andrew Tilker [ctb], Andreas Wilting [ctb, ths]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

Diff between camtrapR versions 1.0 dated 2018-10-27 and 1.1 dated 2019-03-13

 DESCRIPTION                                   |   14 
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 NEWS                                          |   20 +
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 R/appendSpeciesNames.R                        |   26 -
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 R/recordTableIndividual.R                     |   18 -
 R/spatialDetectionHistory.R                   |    4 
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 man/activityOverlap.Rd                        |    4 
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 vignettes/DataExtraction.Rmd                  |    7 
 vignettes/ImageOrganisation.Rmd               |    4 
 27 files changed, 790 insertions(+), 661 deletions(-)

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New package yum with initial version 0.0.1
Package: yum
Title: Utilities to Extract and Process 'YAML' Fragments
Version: 0.0.1
Authors@R: person(given = "Gjalt-Jorn", family = "Peters", role = c("aut", "cre"), email = "gjalt-jorn@userfriendlyscience.com")
Description: Provides a number of functions to facilitate extracting information in 'YAML' fragments from one or multiple files, optionally structuring the information in a 'data.tree'. 'YAML' (recursive acronym for "YAML ain't Markup Language") is a convention for specifying structured data in a format that is both machine- and human-readable. 'YAML' therefore lends itself well for embedding (meta)data in plain text files, such as Markdown files. This principle is implemented in 'yum' with minimal dependencies (i.e. only the 'yaml' packages, and the 'data.tree' package can be used to enable additional functionality).
License: GPL-3
Encoding: UTF-8
URL: https://r-packages.gitlab.io/yum
BugReports: https://gitlab.com/r-packages/yum/issues
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.0.0)
Imports: yaml (>= 2.2)
Suggests: covr, data.tree (>= 0.7), here, testthat
NeedsCompilation: no
Packaged: 2019-03-10 12:57:16 UTC; gjalt
Author: Gjalt-Jorn Peters [aut, cre]
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@userfriendlyscience.com>
Repository: CRAN
Date/Publication: 2019-03-13 12:30:03 UTC

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New package leafpm with initial version 0.1.0
Package: leafpm
Version: 0.1.0
Date: 2019-03-09
Title: Leaflet Map Plugin for Drawing and Editing
Description: A collection of tools for interactive manipulation of (spatial) data layers on leaflet web maps. Tools include editing of existing layers, creation of new layers through drawing of shapes (points, lines, polygons), deletion of shapes as well as cutting holes into existing shapes. Provides control over options to e.g. prevent self-intersection of polygons and lines or to enable/disable snapping to align shapes.
Authors@R: c( person("Kenton", "Russell", role = c("aut", "cre"), email = "kent.russell@timelyportfolio.com"), person("Tim", "Appelhans", role = c("aut")), person("Sumit", "Kumar", role = c("ctb"), comment = "Leaflet.pm plugin") )
License: MIT + file LICENSE
URL: https://github.com/r-spatial/leafpm
BugReports: https://github.com/r-spatial/leafpm/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 6.1.1
Depends: R (>= 3.1.0)
Imports: dplyr, htmltools (>= 0.3), htmlwidgets, jsonlite, leaflet (>= 2.0.1), sf (>= 0.5-2),
Enhances: geojsonio, mapedit, mapview, shiny
Suggests: testthat
NeedsCompilation: no
Packaged: 2019-03-09 14:18:12 UTC; kentr
Author: Kenton Russell [aut, cre], Tim Appelhans [aut], Sumit Kumar [ctb] (Leaflet.pm plugin)
Maintainer: Kenton Russell <kent.russell@timelyportfolio.com>
Repository: CRAN
Date/Publication: 2019-03-13 12:10:03 UTC

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New package DTSg with initial version 0.1.2
Package: DTSg
Type: Package
Title: A Class for Working with Time Series Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Version: 0.1.2
Authors@R: person("Gerold", "Hepp", email = "ghepp@iwag.tuwien.ac.at", role = c("aut", "cre"))
Description: Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and - in combination with the 'R6' package - offers reference semantics. In addition to its native R6 interface, it provides an S3 interface inclusive an S3 wrapper method generator for those who prefer the latter.
License: MIT + file LICENSE
URL: https://github.com/gisler/DTSg
BugReports: https://github.com/gisler/DTSg/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 3.2.0)
Imports: assertive.base, assertive.numbers, assertive.sets, assertive.types, data.table, methods, R6
Suggests: dygraphs, fasttime, knitr, magrittr, RColorBrewer, rmarkdown, testthat, xts
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-09 08:32:07 UTC; ghepp
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <ghepp@iwag.tuwien.ac.at>
Repository: CRAN
Date/Publication: 2019-03-13 12:03:36 UTC

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New package discfrail with initial version 0.1
Package: discfrail
Title: Cox Models for Time-to-Event Data with Nonparametric Discrete Group-Specific Frailties
Version: 0.1
Authors@R: c( person("Francesca", "Gasperoni", email = "francesca.gasperoni@polimi.it", role = c( "aut", "cre" ) ), person("Christopher", "Jackson", email = "chris.jackson@mrc-bsu.cam.ac.uk", role = c( "aut") ) )
Maintainer: Francesca Gasperoni <francesca.gasperoni@polimi.it>
Description: Functions for fitting Cox proportional hazards models for grouped time-to-event data, where the shared group-specific frailties have a discrete nonparametric distribution. The methods proposed in the package is described by Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H., Sharples, L. (2018) <doi:10.1093/biostatistics/kxy071>. There are also functions for simulating from these models, with a nonparametric or a parametric baseline hazard function.
URL: https://github.com/fgaspe04/discfrail
BugReports: https://github.com/fgaspe04/discfrail/issues
Depends: R (>= 3.3.0), survival
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
Imports: Matrix, numDeriv
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-08 20:59:17 UTC; Francesca
Author: Francesca Gasperoni [aut, cre], Christopher Jackson [aut]
Repository: CRAN
Date/Publication: 2019-03-13 12:03:29 UTC

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Package cxhull updated to version 0.2.0 with previous version 0.1.1 dated 2018-08-02

Title: Convex Hull
Description: Computes the convex hull in arbitrary dimension, based on the Qhull library (<http://www.qhull.org>). The package provides a complete description of the convex hull: edges, ridges, facets, adjacencies. Triangulation is optional.
Author: C. B. Barber [cph] (author of the Qhull library), The Geometry Center [cph], Stéphane Laurent [cph, aut, cre]
Maintainer: Stéphane Laurent <laurent_step@yahoo.fr>

Diff between cxhull versions 0.1.1 dated 2018-08-02 and 0.2.0 dated 2019-03-13

 cxhull-0.1.1/cxhull/build            |only
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 cxhull-0.2.0/cxhull/NEWS.md          |    5 +++++
 cxhull-0.2.0/cxhull/src/convexhull.c |   17 ++++++++++++-----
 cxhull-0.2.0/cxhull/src/convexhull.h |    1 +
 8 files changed, 27 insertions(+), 30 deletions(-)

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New package cloudSimplifieR with initial version 0.1.9
Package: cloudSimplifieR
Type: Package
Title: Fetch Data from Amazon AWS
Version: 0.1.9
Author: Deepansh Khurana
Maintainer: Deepansh Khurana <deepanshkhurana@outlook.com>
Description: Simple helper functions to fetch and read data from various formats stored on Amazon AWS S3 Buckets <https://aws.amazon.com/s3/> . Most functions are essentially wrapping over cloudyR <https://cloudyr.github.io/> which is a project and group of packages which provide easier cloud computing solutions for R.
License: GPL-2
Encoding: UTF-8
LazyData: false
Imports: aws.s3, aws.signature, jsonlite, readr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-09 15:07:58 UTC; deepansh
Repository: CRAN
Date/Publication: 2019-03-13 12:13:32 UTC

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Package mgsub updated to version 1.7.1 with previous version 1.7.0 dated 2019-01-13

Title: Safe, Multiple, Simultaneous String Substitution
Description: Designed to enable simultaneous substitution in strings in a safe fashion. Safe means it does not rely on placeholders (which can cause errors in same length matches).
Author: Mark Ewing
Maintainer: Mark Ewing <b.mark@ewingsonline.com>

Diff between mgsub versions 1.7.0 dated 2019-01-13 and 1.7.1 dated 2019-03-13

 DESCRIPTION                        |    6 +++---
 MD5                                |   10 +++++-----
 NEWS.md                            |    6 +++++-
 inst/doc/Safe-Censoring.html       |   10 +++++-----
 inst/doc/Safe-Substitution.html    |   12 ++++++------
 tests/testthat/test_mgsub_censor.R |    1 +
 6 files changed, 25 insertions(+), 20 deletions(-)

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New package magickGUI with initial version 0.1.0
Package: magickGUI
Type: Package
Title: GUI Tools for Interactive Image Processing with 'magick'
Version: 0.1.0
Authors@R: c( person("Shota", "Ochi", email = "shotaochi1990@gmail.com", role = c("aut", "cre")))
Maintainer: Shota Ochi <shotaochi1990@gmail.com>
Description: Enables us to use the functions of the package 'magick' interactively.
License: GPL-3
Depends: R (>= 3.1.2), magick (>= 2.0)
Imports: tcltk
Suggests: testthat (>= 2.0.0), knitr, rmarkdown
URL: https://github.com/ShotaOchi/magickGUI
BugReports: https://github.com/ShotaOchi/magickGUI/issues
NeedsCompilation: no
RoxygenNote: 6.1.1
Encoding: UTF-8
Packaged: 2019-02-28 19:39:45 UTC; shota
Author: Shota Ochi [aut, cre]
Repository: CRAN
Date/Publication: 2019-03-13 11:30:02 UTC

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New package LilRhino with initial version 0.1.0
Package: LilRhino
Type: Package
Title: For Implementation of Feed Reduction, Learning Examples and Code Management
Version: 0.1.0
Author: Travis Barton (2018)
Maintainer: Travis Barton <travis.barton@sjsu.edu>
Description: This is for code management functions, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction <http://wbbpredictions.com/wp-content/uploads/2018/12/Redditbot_Paper.pdf>. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: FNN, beepr, ggplot2, reshape2, keras, dplyr, e1071
NeedsCompilation: no
Packaged: 2019-03-08 21:40:09 UTC; travisbarton
Repository: CRAN
Date/Publication: 2019-03-13 11:44:20 UTC

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New package broomExtra with initial version 0.0.1
Type: Package
Package: broomExtra
Title: Grouped Statistical Analyses in a Tidy Way
Version: 0.0.1
Authors@R: person(given = "Indrajeet", family = "Patil", role = c("aut", "cre"), email = "patilindrajeet.science@gmail.com", comment = c(ORCID = "0000-0003-1995-6531"))
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Description: Collection of functions to assist 'broom' and 'broom.mixed' package-related data analysis workflows. In particular, the generic functions tidy(), glance(), and augment() choose appropriate S3 methods from these two packages depending on which package exports the needed method. Additionally, 'grouped_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe.
License: GPL-3 | file LICENSE
URL: https://indrajeetpatil.github.io/broomExtra/, https://github.com/IndrajeetPatil/broomExtra
BugReports: https://github.com/IndrajeetPatil/broomExtra/issues
Depends: R (>= 3.5.0)
Imports: broom (>= 0.5.1), broom.mixed (>= 0.2.4), dplyr (>= 0.8.0), magrittr (>= 1.5), rlang (>= 0.3.1)
Suggests: covr, gapminder, generics, ggplot2, knitr, lme4, rmarkdown, spelling, stringr, testthat, tibble, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-06 18:14:21 UTC; inp099
Author: Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>)
Repository: CRAN
Date/Publication: 2019-03-13 11:33:35 UTC

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Package plantecophys updated to version 1.4-4 with previous version 1.3-2 dated 2017-11-28

Title: Modelling and Analysis of Leaf Gas Exchange Data
Description: Coupled leaf gas exchange model, A-Ci curve simulation and fitting, Ball-Berry stomatal conductance models, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, humidity unit conversions. See Duursma (2015) <doi:10.1371/journal.pone.0143346>.
Author: Remko Duursma [aut, cre]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

Diff between plantecophys versions 1.3-2 dated 2017-11-28 and 1.4-4 dated 2019-03-13

 DESCRIPTION                          |    8 
 MD5                                  |   56 +++--
 NAMESPACE                            |    2 
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 32 files changed, 967 insertions(+), 372 deletions(-)

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New package WeMix with initial version 2.2.0
Package: WeMix
Version: 2.2.0
Date: 2019-03-12
Title: Weighted Mixed-Effects Models, using Multilevel Pseudo Maximum Likelihood Estimation
Author: Paul Bailey, Claire Kelley, Trang Nguyen, Huade Huo.
Maintainer: Claire Kelley <ckelley@air.org>
Depends: lme4, R (>= 3.3.0)
Imports: numDeriv, statmod, Rmpfr, NPflow, Rcpp
Suggests: testthat, knitr, rmarkdown, EdSurvey
Description: Run mixed-effects models that include weights at every level. The WeMix package fits a Weighted Mixed model, also known as a multilevel, mixed, or hierarchical linear model (HLM). The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in R, WeMix is unique in implementing methods for mixed models using weights at multiple levels. The model is fit using adaptive quadrature.
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2
VignetteBuilder: knitr
LazyData: true
ByteCompile: true
Note: This publication was prepared for NCES under Contract No. ED-IES-12-D-0002 with American Institutes for Research. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. government.
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-03-13 01:45:56 UTC; ckelley
Repository: CRAN
Date/Publication: 2019-03-13 08:18:07 UTC

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Package multiway updated to version 1.0-6 with previous version 1.0-5 dated 2018-06-10

Title: Component Models for Multi-Way Data
Description: Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include N-way Canonical Polyadic Decomposition, Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

Diff between multiway versions 1.0-5 dated 2018-06-10 and 1.0-6 dated 2019-03-13

 ChangeLog                |   23 +++++++++++
 DESCRIPTION              |   10 ++---
 MD5                      |   41 ++++++++++++--------
 NAMESPACE                |    5 ++
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 26 files changed, 244 insertions(+), 80 deletions(-)

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Package lognorm updated to version 0.1.5 with previous version 0.1.4 dated 2018-11-23

Title: Functions for the Lognormal Distribution
Description: The lognormal distribution (Limpert et al. (2001) <doi:10.1641/0006-3568(2001)051[0341:lndats]2.0.co;2>) can characterize uncertainty that is bounded by zero. This package provides estimation of distribution parameters, computation of moments and other basic statistics, and an approximation of the distribution of the sum of several correlated lognormally distributed variables (Lo 2013 <doi:10.12988/ams.2013.39511>).
Author: Thomas Wutzler
Maintainer: Thomas Wutzler <twutz@bgc-jena.mpg.de>

Diff between lognorm versions 0.1.4 dated 2018-11-23 and 0.1.5 dated 2019-03-13

 DESCRIPTION                             |    8 +-
 MD5                                     |   42 +++++++++------
 NAMESPACE                               |    6 ++
 NEWS.md                                 |   16 ++++-
 R/autocorr.R                            |    2 
 R/coefLognorm.R                         |only
 R/imports.R                             |    8 ++
 R/lognormalSum.R                        |   12 +++-
 inst/doc/aggregateCorrelated.R          |   65 +-----------------------
 inst/doc/aggregateCorrelated.Rmd        |    8 +-
 inst/doc/aggregateCorrelated.html       |   86 --------------------------------
 inst/doc/lognorm.html                   |   24 ++++++++
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Package dispRity updated to version 1.2.3 with previous version 1.2 dated 2018-09-20

Title: Measuring Disparity
Description: A modular package for measuring disparity from multidimensional matrices. Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several basic statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.2 dated 2018-09-20 and 1.2.3 dated 2019-03-13

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Package chngpt updated to version 2019.3-12 with previous version 2019.3-8 dated 2019-03-08

Title: Estimation and Hypothesis Testing for Threshold Regression
Description: Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, <DOI:10.1186/s12859-017-1863-x>.
Author: Youyi Fong [cre], Tao Yang [aut], Zonglin He [aut], Adam Elder [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between chngpt versions 2019.3-8 dated 2019-03-08 and 2019.3-12 dated 2019-03-13

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Package metadynminer updated to version 0.1.4 with previous version 0.1.3 dated 2018-11-05

Title: Tools to Read, Analyze and Visualize Metadynamics HILLS Files from 'Plumed'
Description: Metadynamics is a state of the art biomolecular simulation technique. 'Plumed' Tribello, G.A. et al. (2014) <doi:10.1016/j.cpc.2013.09.018> program makes it possible to perform metadynamics using various simulation codes. The results of metadynamics done in 'Plumed' can be analyzed by 'metadynminer'. The package 'metadynminer' reads 1D and 2D metadynamics hills files from 'Plumed' package. It uses a fast algorithm by Hosek, P. and Spiwok, V. (2016) <doi:10.1016/j.cpc.2015.08.037> to calculate a free energy surface from hills. Minima can be located and plotted on the free energy surface. Transition states can be analyzed by Nudged Elastic Band method by Henkelman, G. and Jonsson, H. (2000) <doi:10.1063/1.1323224>. Free energy surfaces, minima and transition paths can be plotted to produce publication quality images.
Author: Vojtech Spiwok [aut, cre] (<https://orcid.org/0000-0001-8108-2033>)
Maintainer: Vojtech Spiwok <spiwokv@vscht.cz>

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Package soundgen updated to version 1.4.0 with previous version 1.3.2 dated 2019-01-10

Title: Parametric Voice Synthesis
Description: Tools for sound synthesis and acoustic analysis. Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also includes tools for spectral analysis, pitch tracking, audio segmentation, self-similarity matrices, morphing, etc.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <rty.anik@rambler.ru>

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Package politicaldata updated to version 0.1.2 with previous version 0.1.1 dated 2019-02-22

Title: Tools for Acquiring and Analyzing Political Data
Description: Provides useful functions for obtaining commonly-used data in political analysis and political science, including from sources such as the Comparative Agendas Project <https://www.comparativeagendas.net>, which provides data on politics and policy from 20+ countries, the MIT Election and Data Science Lab <https://www.electionlab.mit.edu>, and FiveThirtyEight <https://www.FiveThirtyEight.com>.
Author: G. Elliott Morris [aut, cre], Comparative Agendas Project [cph], MIT Election and Data Science Lab [cph], FiveThirtyEight.com [cph]
Maintainer: G. Elliott Morris <elliott@thecrosstab.com>

Diff between politicaldata versions 0.1.1 dated 2019-02-22 and 0.1.2 dated 2019-03-13

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Package pgbart updated to version 0.6.16 with previous version 0.6.15 dated 2018-11-13

Title: Bayesian Additive Regression Trees Using Particle Gibbs Sampler and Gibbs/Metropolis-Hastings Sampler
Description: The Particle Gibbs sampler and Gibbs/Metropolis-Hastings sampler were implemented to fit Bayesian additive regression tree model. Construction of the model (training) and prediction for a new data set (testing) can be separated. Our reference papers are: Lakshminarayanan B, Roy D, Teh Y W. Particle Gibbs for Bayesian additive regression trees[C], Artificial Intelligence and Statistics. 2015: 553-561, <http://proceedings.mlr.press/v38/lakshminarayanan15.pdf> and Chipman, H., George, E., and McCulloch R. (2010) Bayesian Additive Regression Trees. The Annals of Applied Statistics, 4,1, 266-298, <doi:10.1214/09-aoas285>.
Author: Pingyu Wang [aut, cre], Dai Feng [aut], Yang Bai [aut], Qiuyue Shi [aut], Zhicheng Zhao [aut], Fei Su [aut], Hugh Chipman [aut], Robert McCulloch [aut]
Maintainer: Pingyu Wang <applewangpingyu@gmail.com>

Diff between pgbart versions 0.6.15 dated 2018-11-13 and 0.6.16 dated 2019-03-13

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Package hexView updated to version 0.3-4 with previous version 0.3-3 dated 2014-12-17

Title: Viewing Binary Files
Description: Functions to view files in raw binary form like in a hex editor. Additional functions to specify and read arbitrary binary formats.
Author: Paul Murrell [aut, cre], Chao Bian [ctb]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between hexView versions 0.3-3 dated 2014-12-17 and 0.3-4 dated 2019-03-13

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Package hergm updated to version 4.1-0 with previous version 4.0-0 dated 2019-01-07

Title: Hierarchical Exponential-Family Random Graph Models
Description: Hierarchical exponential-family random graph models with local dependence.
Author: Michael Schweinberger <michael.schweinberger@rice.edu> [aut, cre], Mark S. Handcock <handcock@ucla.edu> [aut], Sergii Babkin <babkin.sergii@gmail.com> [aut], Jonathan Stewart <jonathan.stewart@rice.edu> [aut], Duy Vu <duy.vu@unimelb.edu.au> [aut], Pamela Luna <pamela.luna@rice.edu> [ctb]
Maintainer: Michael Schweinberger <michael.schweinberger@rice.edu>

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Package CVXR updated to version 0.99-4 with previous version 0.99-3 dated 2019-02-20

Title: Disciplined Convex Optimization
Description: An object-oriented modeling language for disciplined convex programming (DCP). It allows the user to formulate convex optimization problems in a natural way following mathematical convention and DCP rules. The system analyzes the problem, verifies its convexity, converts it into a canonical form, and hands it off to an appropriate solver to obtain the solution.
Author: Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]
Maintainer: Anqi Fu <anqif@stanford.edu>

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Package MultiRobust updated to version 1.0.1 with previous version 1.0.0 dated 2019-03-05

Title: Multiply Robust Methods for Missing Data Problems
Description: Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.
Author: Shixiao Zhang and Peisong Han
Maintainer: Shixiao Zhang <praetere@gmail.com>

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