Wed, 25 Nov 2020

Package sparklyr updated to version 1.5.0 with previous version 1.4.0 dated 2020-09-16

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Yitao Li <yitao@rstudio.com>

Diff between sparklyr versions 1.4.0 dated 2020-09-16 and 1.5.0 dated 2020-11-25

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Package bioseq updated to version 0.1.2 with previous version 0.1.1 dated 2020-07-26

Title: A Toolbox for Manipulating Biological Sequences
Description: Classes and functions to work with biological sequences (DNA, RNA and amino acid sequences). Implements S3 infrastructure to work with biological sequences as described in Keck (2020) <doi:10.1111/2041-210X.13490>. Provides a collection of functions to perform biological conversion among classes (transcription, translation) and basic operations on sequences (detection, selection and replacement based on positions or patterns). The package also provides functions to import and export sequences from and to other package formats.
Author: Francois Keck [aut, cre, cph] (<https://orcid.org/0000-0002-3323-4167>)
Maintainer: Francois Keck <francois.keck@gmail.com>

Diff between bioseq versions 0.1.1 dated 2020-07-26 and 0.1.2 dated 2020-11-25

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Package rlang updated to version 0.4.9 with previous version 0.4.8 dated 2020-10-08

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between rlang versions 0.4.8 dated 2020-10-08 and 0.4.9 dated 2020-11-25

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Package migrate updated to version 0.2.0 with previous version 0.1.0 dated 2020-11-24

Title: Create Credit State Migration (Transition) Matrices
Description: Tools to help convert credit risk data at two time points into traditional credit state migration (aka, "transition") matrices. At a higher level, 'migrate' is intended to help an analyst understand how risk moved in their credit portfolio over a time interval. References to this methodology include: 1. Schuermann, T. (2008) <doi:10.1002/9780470061596.risk0409>. 2. Perederiy, V. (2017) <arXiv:1708.00062>.
Author: Michael Thomas [aut, cre], Brad Lindblad [ctb]
Maintainer: Michael Thomas <mthomas@ketchbrookanalytics.com>

Diff between migrate versions 0.1.0 dated 2020-11-24 and 0.2.0 dated 2020-11-25

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Package IFP updated to version 0.2.4 with previous version 0.2.3 dated 2020-10-26

Title: Identifying Functional Polymorphisms
Description: A suite for identifying causal models using relative concordances and identifying causal polymorphisms in case-control genetic association data, especially with large controls re-sequenced data.
Author: Park L
Maintainer: Leeyoung Park <lypark@yonsei.ac.kr>

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Package epifitter updated to version 0.2.0 with previous version 0.1.0 dated 2020-10-29

Title: Analysis and Simulation of Plant Disease Progress Curves
Description: Analysis and visualization of plant disease progress curve data. Functions for fitting two-parameter population dynamics models (exponential, monomolecular, logistic and Gompertz) to proportion data for single or multiple epidemics using either linear or no-linear regression. Statistical and visual outputs are provided to aid in model selection. Synthetic curves can be simulated for any of the models given the parameters. See Laurence V. Madden, Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058> for further information on the methods.
Author: Kaique dos S. Alves [aut, cre] (<https://orcid.org/0000-0001-9187-0252>), Emerson M. Del Ponte [aut] (<https://orcid.org/0000-0003-4398-409X>)
Maintainer: Kaique dos S. Alves <kaiquedsalves@gmail.com>

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Package driveR updated to version 0.2.1 with previous version 0.2.0 dated 2020-11-19

Title: Prioritizing Cancer Driver Genes Using Genomics Data
Description: Cancer genomes contain large numbers of somatic alterations but few genes drive tumor development. Identifying cancer driver genes is critical for precision oncology. Most of current approaches either identify driver genes based on mutational recurrence or using estimated scores predicting the functional consequences of mutations. 'driveR' is a tool for personalized or batch analysis of genomic data for driver gene prioritization by combining genomic information and prior biological knowledge. As features, 'driveR' uses coding impact metaprediction scores, non-coding impact scores, somatic copy number alteration scores, hotspot gene/double-hit gene condition, 'phenolyzer' gene scores and memberships to cancer-related KEGG pathways. It uses these features to estimate cancer-type-specific probability for each gene of being a cancer driver using the related task of a multi-task learning classification model. The method is described in detail in Ulgen E, Sezerman OU. 2020. driveR: A Novel Method for Prioritizing Cancer Driver Genes Using Somatic Genomics Data. bioRxiv <doi:10.1101/2020.11.10.376707>.
Author: Ege Ulgen [aut, cre, cph] (<https://orcid.org/0000-0003-2090-3621>)
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package EZtune updated to version 3.0.0 with previous version 2.0.0 dated 2019-06-29

Title: Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines
Description: Contains two functions that are intended to make tuning supervised learning methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves optimizer to find the best set of tuning parameters. The user can choose the optimizer, the learning method, and if optimization will be based on accuracy obtained through validation error, cross validation, or resubstitution. The function eztune.cv will compute a cross validated error rate. The purpose of eztune_cv is to provide a cross validated accuracy or MSE when resubstitution or validation data are used for optimization because error measures from both approaches can be misleading.
Author: Jill Lundell [aut, cre]
Maintainer: Jill Lundell <jflundell@gmail.com>

Diff between EZtune versions 2.0.0 dated 2019-06-29 and 3.0.0 dated 2020-11-25

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Package GENEAread updated to version 2.0.9 with previous version 2.0.8 dated 2019-10-30

Title: Package for Reading Binary Files
Description: Functions and analytics for GENEA-compatible accelerometer data into R objects. See topic 'GENEAread' for an introduction to the package. See <https://www.activinsights.com/products/geneactiv/> for more details on the GENEActiv device.
Author: Zhou Fang [aut], Joss Langford [aut], Charles Sweetland [aut, cre]
Maintainer: Charles Sweetland <charles@sweetland-solutions.co.uk>

Diff between GENEAread versions 2.0.8 dated 2019-10-30 and 2.0.9 dated 2020-11-25

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Package bdpar updated to version 3.0.0 with previous version 2.0.0 dated 2020-02-20

Title: Big Data Preprocessing Architecture
Description: Provide a tool to easily build customized data flows to pre-process large volumes of information from different sources. To this end, 'bdpar' allows to (i) easily use and create new functionalities and (ii) develop new data source extractors according to the user needs. Additionally, the package provides by default a predefined data flow to extract and pre-process the most relevant information (tokens, dates, ... ) from some textual sources (SMS, Email, tweets, YouTube comments).
Author: Miguel Ferreiro-Díaz [aut, cre], David Ruano-Ordás [aut, ctr], Tomás R. Cotos-Yañez [aut, ctr], University of Vigo [cph]
Maintainer: Miguel Ferreiro-Díaz <miguel.ferreiro.diaz@gmail.com>

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Package renv updated to version 0.12.3 with previous version 0.12.2 dated 2020-11-04

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 0.12.2 dated 2020-11-04 and 0.12.3 dated 2020-11-25

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Package concorR updated to version 0.2.1 with previous version 0.2.0 dated 2020-06-03

Title: CONCOR and Supplemental Functions
Description: Contains the CONCOR (CONvergence of iterated CORrelations) algorithm and a series of supplemental functions for easy running, plotting, and blockmodeling. The CONCOR algorithm is used on social network data to identify network positions based off a definition of structural equivalence; see Breiger, Boorman, and Arabie (1975) <doi:10.1016/0022-2496(75)90028-0> and Wasserman and Faust's book Social Network Analysis: Methods and Applications (1994). This version allows multiple relationships for the same set of nodes and uses both incoming and outgoing ties to find positions.
Author: Tyme Suda [aut], Adrienne Traxler [cre] (<https://orcid.org/0000-0003-2725-0686>), Carter Butts [ctb] (Author of sna::plot.blockmodel(), adapted for plot_blk())
Maintainer: Adrienne Traxler <adrienne.traxler@wright.edu>

Diff between concorR versions 0.2.0 dated 2020-06-03 and 0.2.1 dated 2020-11-25

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Package qs updated to version 0.23.4 with previous version 0.23.3 dated 2020-10-05

Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] (Yann Collet is the author of the bundled zstd, lz4 and xxHash code), Facebook, Inc. [cph] (Facebook is the copyright holder of the bundled zstd code), Reichardt Tino [ctb, cph] (Contributor/copyright holder of zstd bundled code), Skibinski Przemyslaw [ctb, cph] (Contributor/copyright holder of zstd bundled code), Mori Yuta [ctb, cph] (Contributor/copyright holder of zstd bundled code), Romain Francois [ctb, cph] (Derived example/tutorials for ALTREP structures), Francesc Alted [ctb, cph] (Shuffling routines derived from Blosc library), Bryce Chamberlain [ctb] (qsame, qload function contributor)
Maintainer: Travers Ching <traversc@gmail.com>

Diff between qs versions 0.23.3 dated 2020-10-05 and 0.23.4 dated 2020-11-25

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 DESCRIPTION            |    8 ++++----
 MD5                    |   16 ++++++++--------
 R/qsavem-load.R        |    8 ++++----
 R/zzz.R                |    2 +-
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Package FDX updated to version 1.0.3 with previous version 1.0.2 dated 2020-09-02

Title: False Discovery Exceedance Controlling Multiple Testing Procedures
Description: Multiple testing procedures for heterogeneous and discrete tests as described in Döhler and Roquain (2019) <arXiv:1912.04607v1>. The main algorithms of the paper are available as continuous, discrete and weighted versions.
Author: Sebastian Döhler [aut], Florian Junge [aut, cre], Etienne Roquain [ctb]
Maintainer: Florian Junge <florian.junge@h-da.de>

Diff between FDX versions 1.0.2 dated 2020-09-02 and 1.0.3 dated 2020-11-25

 DESCRIPTION        |   11 ++++++-----
 MD5                |   10 +++++-----
 NEWS.md            |    4 ++++
 R/weightedGR_fun.R |    2 +-
 R/weightedLR_fun.R |    2 +-
 R/weightedPB_fun.R |    2 +-
 6 files changed, 18 insertions(+), 13 deletions(-)

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Package SymbolicDeterminants updated to version 1.2.0 with previous version 1.0.2 dated 2020-11-09

Title: Symbolic Representation of Matrix Determinant
Description: Creates a guide for writing the formula for the determinant of a square matrix (a detguide) as a function of the elements of the matrix and writes out that formula, the symbolic representation.
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>

Diff between SymbolicDeterminants versions 1.0.2 dated 2020-11-09 and 1.2.0 dated 2020-11-25

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Package staRdom updated to version 1.1.18 with previous version 1.1.14 dated 2020-07-28

Title: PARAFAC Analysis of EEMs from DOM
Description: This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>

Diff between staRdom versions 1.1.14 dated 2020-07-28 and 1.1.18 dated 2020-11-25

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 R/eem_importers.R                           |   14 -
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 R/parafac_plot_functions.R                  |   13 
 README                                      |   16 +
 build/vignette.rds                          |binary
 inst/doc/Basic_analysis_of_DOM_samples.Rmd  |    8 
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 inst/doc/PARAFAC_analysis_of_EEM.Rmd        |    2 
 inst/doc/PARAFAC_analysis_of_EEM.html       |  371 ++++++++++++++++------------
 man/abs_blcor.Rd                            |    3 
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 man/eempf_reorder.Rd                        |    2 
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 man/eempf_residuals.Rd                      |    2 
 man/eempf_residuals_plot.Rd                 |    2 
 man/eempf_varimp.Rd                         |    2 
 man/parafac_conv.Rd                         |    3 
 man/splithalf.Rd                            |    2 
 man/tcc_find_pairs.Rd                       |    2 
 vignettes/Basic_analysis_of_DOM_samples.Rmd |    8 
 vignettes/PARAFAC_analysis_of_EEM.Rmd       |    2 
 32 files changed, 434 insertions(+), 291 deletions(-)

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New package twowaytests with initial version 1.0
Package: twowaytests
Type: Package
Title: Two-Way Tests in Independent Groups Designs
Version: 1.0
Date: 2020-11-24
Depends: R (>= 3.5.0)
Imports: onewaytests, stats, ggplot2, nortest, car
Author: Osman Dag [aut, cre], Sam Weerahandi [aut], Malwane Ananda [aut]
Maintainer: Osman Dag <osman.dag@outlook.com>
Description: Performs two-way tests in independent groups designs; Parametric Bootstrap based Generalized Test and Generalized Pivotal Quantity based Generalized Test (Weerahandi and Krishnamoorthy, 2019) <doi:10.1080/03610926.2017.1419264>. The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-11-24 02:24:10 UTC; osmandag
Repository: CRAN
Date/Publication: 2020-11-25 14:10:02 UTC

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New package tvem with initial version 1.0-0
Package: tvem
Type: Package
Title: Time-Varying Effect Models
Version: 1.0-0
Date: 2020-11-09
Authors@R: c(person(given="John J.", family="Dziak", role = c("aut", "cre"), email = "dziakj1@gmail.com", comment = c(ORCID = "0000-0003-0762-5495")), person(given="Donna L.", family="Coffman", role = "aut",comment=c(ORCID="0000-0001-6305-6579")), person(given="Runze", family="Li", role = "aut",comment=c(ORCID="0000-0002-0154-2202")), person(given="Kaylee", family="Litson", role = "aut", comment=c(ORCID="0000-0003-1296-4811")))
VignetteBuilder: knitr
Depends: mgcv
Suggests: knitr, rmarkdown
Encoding: UTF-8
Copyright: 2020 by The Pennsylvania State University
Description: Fits time-varying effect models (TVEM). These are a kind of application of varying-coefficient models in the context of longitudinal data, allowing the strength of linear, logistic, or Poisson regression relationships to change over time. These models are described further in Tan, Shiyko, Li, Li & Dierker (2012) <doi:10.1037/a0025814>. We thank Kaylee Litson, Patricia Berglund, and Yajnaseni Chakraborti for their valuable help with testing the package and documentation. The development of this package was part of a research project supported by National Institutes of Health grants P50 DA039838 from the National Institute of Drug Abuse and 1R01 CA229542-01 from the National Cancer Institute and the NIH Office of Behavioral and Social Science Research. Content is solely the responsibility of the authors and does not necessarily represent the official views of the funding institutions mentioned above. This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
License: GPL (>= 2)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-23 20:59:12 UTC; JJD
Author: John J. Dziak [aut, cre] (<https://orcid.org/0000-0003-0762-5495>), Donna L. Coffman [aut] (<https://orcid.org/0000-0001-6305-6579>), Runze Li [aut] (<https://orcid.org/0000-0002-0154-2202>), Kaylee Litson [aut] (<https://orcid.org/0000-0003-1296-4811>)
Maintainer: John J. Dziak <dziakj1@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 14:10:05 UTC

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New package ResearchAssociate with initial version 0.0.1
Package: ResearchAssociate
Title: Retrieving Publications from PubMed Database Based on User Query
Version: 0.0.1
Authors@R: c(person("Mohamed", "Soudy", email = "MohmedSoudy2009@gmail.com", role=c("aut", "cre")), person("Ali", "Mostafa", email = "ali.mo.anwar@std.agr.cu.edu.eg", role = "aut"))
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>
Description: Connects to Pubmed <https://pubmed.ncbi.nlm.nih.gov/> to retrieve publications related to user-defined search query.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: rentrez
NeedsCompilation: no
Repository: CRAN
Packaged: 2020-11-24 10:29:15 UTC; RSH
Date/Publication: 2020-11-25 14:20:02 UTC

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New package DatastreamDSWS2R with initial version 1.7.9
Package: DatastreamDSWS2R
Type: Package
Title: Provides a Link Between the 'Refinitiv Datastream' System and R
Version: 1.7.9
Date: 2020-11-23
Author: Charles Cara
Maintainer: Charles Cara <charles.cara@absolute-strategy.com>
Description: Provides a set of functions and a class to connect, extract and upload information from the 'Refinitiv Datastream' database. This package uses the 'DSWS' API and server used by the 'Datastream DFO addin'. Details of this API on the 'DSWS' page of <https://developers.refinitiv.com/en>. Please report issues at <https://github.com/CharlesCara/DatastreamDSWS2R/issues>.
License: GPL-3
LazyData: TRUE
Imports: httr, jsonlite, stringi, stringr, xts, zoo, methods, foreach, dplyr
Suggests: testthat
RoxygenNote: 7.1.1
Collate: 'DatastreamDSWS2R.R' 'common.R' 'classConstructor.R' 'wrapper.R' 'UCTSUpload.R' 'cbindRobust.R' 'data.R'
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-11-24 10:20:28 UTC; charlesc
Repository: CRAN
Date/Publication: 2020-11-25 14:20:04 UTC

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New package vindecodr with initial version 0.1.1
Package: vindecodr
Title: Provides an Interface to the Department of Transportation VIN Decoder
Version: 0.1.1
Authors@R: person(given = "Christopher", family = "Burch", role = c("aut", "cre"), email = "christopher.m.burch@gmail.com", comment = c(ORCID = "0000-0001-6934-3325"))
Description: Provides a programmatic interface in R for the US Department of Transportation (DOT) National Highway Transportation Safety Administration (NHTSA) vehicle identification number (VIN) API, located at <https://vpic.nhtsa.dot.gov/api/>. The API can decode up to 50 vehicle identification numbers in one call, and provides manufacturer information about the vehicles, including make, model, model year, and gross vehicle weight rating (GVWR).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: httr
Suggests: purrr, stringr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-23 20:44:05 UTC; chris
Author: Christopher Burch [aut, cre] (<https://orcid.org/0000-0001-6934-3325>)
Maintainer: Christopher Burch <christopher.m.burch@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 14:00:03 UTC

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New package spfda with initial version 0.9.0
Package: spfda
Type: Package
Title: Function-on-Scalar Regression with Group-Bridge Penalty
Version: 0.9.0
License: MIT + file LICENSE
Authors@R: c( person("Zhengjia", "Wang", email = "dipterix.wang@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5629-1116")), person("Meng", "Li", email = "meng@rice.edu", role = c("aut"), comment = c(ORCID = "0000-0003-2123-2444")) )
Description: Implements a group-bridge penalized function-on-scalar regression model proposed by Wang et al. (2020) <arXiv:2006.10163>, to simultaneously estimate functional coefficient and recover the local sparsity.
URL: https://github.com/dipterix/spfda, https://dipterix.github.io/spfda/
BugReports: https://github.com/dipterix/spfda/issues
Imports: stats, splines, graphics, mathjaxr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
RdMacros: mathjaxr
Language: en-US
NeedsCompilation: no
Packaged: 2020-11-23 18:20:27 UTC; beauchamplab
Author: Zhengjia Wang [aut, cre] (<https://orcid.org/0000-0001-5629-1116>), Meng Li [aut] (<https://orcid.org/0000-0003-2123-2444>)
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 13:50:02 UTC

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New package reconstructKM with initial version 0.3.0
Package: reconstructKM
Type: Package
Title: Reconstruct Individual-Level Data from Published KM Plots
Version: 0.3.0
Authors@R: person("Ryan", "Sun", email = "ryansun.work@gmail.com", role = c("aut", "cre"))
Description: Functions for reconstructing individual-level data (time, status, arm) from Kaplan-MEIER curves published in academic journals (e.g. NEJM, JCO, JAMA). The individual-level data can be used for re-analysis, meta-analysis, methodology development, etc. This package was used to generate the data for commentary such as Sun, Rich, & Wei (2018) <doi:10.1056/NEJMc1808567>. Please see the vignette for a quickstart guide.
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, dplyr, magrittr, survival, rlang, stats4, survminer
License: GPL-3
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-23 17:14:00 UTC; rsun3
Author: Ryan Sun [aut, cre]
Maintainer: Ryan Sun <ryansun.work@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 13:40:02 UTC

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New package GREMLINS with initial version 0.2.0
Package: GREMLINS
Type: Package
Title: Generalized Multipartite Networks
Version: 0.2.0
Authors@R: c( person(given = "Sophie", family = "Donnet", role = c("aut", "cre"), email = "sophie.donnet@inrae.fr", comment = c(ORCID = "0000-0003-4370-7316")), person(given = "Pierre", family = "Barbillon", role = c("aut"), email = "pierre.barbillon@agroparistech.fr",comment = c(ORCID = "0000-0002-7766-7693")) )
Description: We define generalized multipartite networks as the joint observation of several networks implying some common pre-specified groups of individuals. The aim is to fit an adapted version of the popular stochastic block model to multipartite networks, as described in Bar-hen, Barbillon and Donnet (2020) <arXiv:1807.10138>.
URL: https://demiperimetre.github.io/GREMLINS/
BugReports: https://github.com/demiperimetre/GREMLINS/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.1.0), spelling, knitr, rmarkdown
Language: en-US
Imports: R6, parallel, grDevices, graphics, stats, utils, igraph, mclust, blockmodels, aricode, pbmcapply
Collate: 'GREMLINS_package.R' 'BMPOO.R' 'defineNetwork.R' 'multipartiteBM.R' 'VEMPOOVersion.R' 'multipartiteBMFixedModel.R' 'initializeVEM.R' 'plotMBM.R' 'searchVKPOOVersion.R' 'utils.R' 'compLikICL.R' 'extractClustersMBM.R' 'rMBM.R' 'comparClassif.R' 'MPEcoNetwork.R' 'predictMBM.R'
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2020-11-23 18:18:19 UTC; sophie
Author: Sophie Donnet [aut, cre] (<https://orcid.org/0000-0003-4370-7316>), Pierre Barbillon [aut] (<https://orcid.org/0000-0002-7766-7693>)
Maintainer: Sophie Donnet <sophie.donnet@inrae.fr>
Repository: CRAN
Date/Publication: 2020-11-25 13:50:04 UTC

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New package DPQmpfr with initial version 0.3-0
Package: DPQmpfr
Title: DPQ (Density, Probability, Quantile) Distribution Computations using MPFR
Version: 0.3-0
Date: 2020-11-23
Authors@R: person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch", comment = c(ORCID = "0000-0002-8685-9910"))
Description: An extension to the 'DPQ' package with computations for 'DPQ' (Density (pdf), Probability (cdf) and Quantile) functions, where the functions here partly use the 'Rmpfr' package and hence the underlying 'MPFR' and 'GMP' C libraries.
Depends: R (>= 3.6.0)
Imports: DPQ (>= 0.4-2), Rmpfr, gmp, stats, graphics, methods, utils
Suggests: sfsmisc
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-11-23 09:55:15 UTC; maechler
Author: Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2020-11-25 13:40:05 UTC

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New package CME.assistant with initial version 1.1.0
Package: CME.assistant
Title: Reusable Assisting Functions for Child Mortality Estimation
Version: 1.1.0
Authors@R: person(given = "Yang", family = "Liu", role = c("aut", "cre"), email = "lyhello@gmail.com", comment = c(ORCID = "0000-0001-6557-6439"))
Description: Provide helper functions for UNICEF child mortality estimation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3.0), data.table (>= 1.12.0)
Imports: ggplot2 (>= 3.0.0), ggforce (>= 0.2.1.9000), here, scales, readr, readxl, xlsx, usethis, lubridate, stringr
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-23 11:07:56 UTC; lyhel
Author: Yang Liu [aut, cre] (<https://orcid.org/0000-0001-6557-6439>)
Maintainer: Yang Liu <lyhello@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 14:00:09 UTC

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New package chess with initial version 1.0.0
Package: chess
Title: Read, Write, Create and Explore Chess Games
Version: 1.0.0
Authors@R: person(given = "C.", family = "Lente", role = c("aut", "cre"), email = "clente@curso-r.com")
Description: This is an opinionated wrapper around the python-chess package. It allows users to read and write PGN files as well as create and explore game trees such as the ones seen in chess books.
License: GPL-3
URL: https://github.com/curso-r/chess
BugReports: https://github.com/curso-r/chess/issues
Depends: R (>= 2.10)
Imports: cli, magrittr, purrr, reticulate
Suggests: covr, graphics, knitr, png, rmarkdown, rsvg, testthat
VignetteBuilder: knitr
Config/reticulate: list( packages = list( list(package = "python-chess", pip = TRUE) ) )
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-23 19:50:32 UTC; clente
Author: C. Lente [aut, cre]
Maintainer: C. Lente <clente@curso-r.com>
Repository: CRAN
Date/Publication: 2020-11-25 14:00:06 UTC

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Package model4you updated to version 0.9-6 with previous version 0.9-5 dated 2020-02-19

Title: Stratified and Personalised Models Based on Model-Based Trees and Forests
Description: Model-based trees for subgroup analyses in clinical trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on model-based trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for details on model-based forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.
Author: Heidi Seibold [aut, cre], Achim Zeileis [aut], Torsten Hothorn [aut]
Maintainer: Heidi Seibold <heidi@seibold.co>

Diff between model4you versions 0.9-5 dated 2020-02-19 and 0.9-6 dated 2020-11-25

 DESCRIPTION                 |   10 ++--
 MD5                         |   42 ++++++++++----------
 R/helpers.R                 |   11 +++--
 R/plot-pmtree.R             |   14 ++++--
 R/pmodel.R                  |    6 ++
 R/pmtree-methods.R          |    3 -
 inst/NEWS.Rd                |   12 +++++
 man/binomial_glm_plot.Rd    |    9 +++-
 man/lm_plot.Rd              |    9 +++-
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 man/pmforest.Rd             |   24 +++++++----
 man/pmodel.Rd               |   12 ++++-
 man/pmtree.Rd               |   10 +++-
 man/predict.pmtree.Rd       |   10 +++-
 man/print.pmtree.Rd         |   10 +++-
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Package metR updated to version 0.9.0 with previous version 0.8.0 dated 2020-10-25

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut] (<https://orcid.org/0000-0002-7742-9230>)
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

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Package DMCfun updated to version 1.1.0 with previous version 0.15.0 dated 2020-09-20

Title: Diffusion Model of Conflict (DMC) in Reaction Time Tasks
Description: DMC model simulation detailed in Ulrich, R., Schroeter, H., Leuthold, H., & Birngruber, T. (2015). Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. Cognitive Psychology, 78, 148-174. Ulrich et al. (2015) <doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within choice reaction-time (CRT) tasks are often modelled using evidence accumulation models (EAMs), a variation of which is the Diffusion Decision Model (DDM, for a review, see Ratcliff & McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). The DMC model combines common features from within standard diffusion models with the addition of superimposed controlled and automatic activation. The DMC model is used to explain distributional reaction time (and error rate) patterns in common behavioural conflict-like tasks (e.g., Flanker task, Simon task). This R-package implements the DMC model and provides functionality to fit the model to observed data.
Author: Mackenzie G. Ian [cre, aut]
Maintainer: Mackenzie G. Ian <ian.mackenzie@uni-tuebingen.de>

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Package rmdfiltr updated to version 0.1.3 with previous version 0.1.2 dated 2019-12-11

Title: 'Lua'-Filters for R Markdown
Description: A collection of 'Lua' filters that extend the functionality of R Markdown templates (e.g., count words or post-process citations).
Author: Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>), Marius Barth [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>

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Package rasciidoc updated to version 2.2.2 with previous version 2.2.1 dated 2020-11-18

Title: Create Reports Using R and 'asciidoc'
Description: Inspired by Karl Broman`s reader on using 'knitr' with 'asciidoc' (<http://kbroman.org/knitr_knutshell/pages/asciidoc.html>), this is merely a wrapper to 'knitr' and 'asciidoc'.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package PoissonBinomial updated to version 1.2.0 with previous version 1.1.3 dated 2020-09-07

Title: Efficient Computation of Ordinary and Generalized Poisson Binomial Distributions
Description: Efficient implementations of multiple exact and approximate methods as described in Hong (2013) <doi:10.1016/j.csda.2012.10.006>, Biscarri, Zhao & Brunner (2018) <doi:10.1016/j.csda.2018.01.007> and Zhang, Hong & Balakrishnan (2018) <doi:10.1080/00949655.2018.1440294> for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalized Poisson binomial distribution.
Author: Florian Junge [aut, cre]
Maintainer: Florian Junge <florian.junge@h-da.de>

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Package partsm updated to version 1.1-3 with previous version 1.1-2 dated 2014-03-31

Title: Periodic Autoregressive Time Series Models
Description: Basic functions to fit and predict periodic autoregressive time series models. These models are discussed in the book P.H. Franses (1996) "Periodicity and Stochastic Trends in Economic Time Series", Oxford University Press. Data set analyzed in that book is also provided. NOTE: the package was orphaned during several years. It is now only maintained, but no major enhancements are expected, and the maintainer cannot provide any support.
Author: Javier Lopez-de-Lacalle [aut, cph], Matthieu Stigler [cre] (<https://orcid.org/0000-0002-6802-4290>)
Maintainer: Matthieu Stigler <Matthieu.Stigler@gmail.com>

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New package kim with initial version 0.1.11
Package: kim
Title: Functions for Behavioral Science Researchers
Version: 0.1.11
Authors@R: person(given = "Jin", family = "Kim", role = c("aut", "cre"), email = "jin.m.kim@yale.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5013-3958"))
Description: Miscellaneous functions designed to facilitate and simplify analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts mediation analyses.
License: GPL-3
URL: https://github.com/jinkim3/kim
BugReports: https://github.com/jinkim3/kim/issues
Imports: boot, car, data.table, dplyr, ggplot2, ggridges, lm.beta, mediation, moments, stats, utils, weights, WRS2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-23 15:49:06 UTC; v
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>
Repository: CRAN
Date/Publication: 2020-11-25 10:30:02 UTC

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New package htsr with initial version 1.0.4
Package: htsr
Type: Package
Title: Hydro-Meteo Time-Series
Version: 1.0.4
Date: 2020-11-23
Author: Pierre Chevallier [aut, cre]
Maintainer: Pierre Chevallier <pierre.chevallier@ird.fr>
Description: Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.
License: GPL-2
Depends: R (>= 3.5.0)
Imports: dplyr, tibble, ggplot2, readr, stringr, purrr, lubridate, RSQLite, DBI, RODBC, zoo, utils, stats, WriteXLS, readxl, RColorBrewer, grDevices, directlabels, openair, raster, editData, shiny
Suggests: knitr, rmarkdown
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-23 14:02:51 UTC; pierre
Repository: CRAN
Date/Publication: 2020-11-25 10:20:02 UTC

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New package gfpop with initial version 1.0.0
Package: gfpop
Type: Package
Title: Graph-Constrained Functional Pruning Optimal Partitioning
Version: 1.0.0
Authors@R: c( person("Vincent", "Runge", email = "vincent.runge@univ-evry.fr", role = c("aut", "cre")), person("Toby", "Hocking", role = c("aut")), person("Guillem", "Rigaill", role = c("aut")), person("Gaetano", "Romano", role = c("aut")), person("Fatemeh", "Afghah", role = c("aut")), person("Paul", "Fearnhead", role = c("aut")), person("Michel", "Koskas", role = c("ctb")), person("Arnaud", "Liehrmann", role = c("ctb")))
Maintainer: Vincent Runge <vincent.runge@univ-evry.fr>
Description: Penalized parametric change-point detection by functional pruning dynamic programming algorithm. The successive means are constrained using a graph structure with edges of types null, up, down, std or abs. To each edge we can associate some additional properties: a minimal gap size, a penalty, some robust parameters (K,a). The user can also constrain the inferred means to lie between some minimal and maximal values. Data is modeled by a quadratic cost with possible use of a robust loss, biweight and Huber (see edge parameters K and a). Other losses are also available with log-linear representation or a log-log representation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.0)
SystemRequirements: C++11
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2020-11-23 15:24:26 UTC; vrunge
Author: Vincent Runge [aut, cre], Toby Hocking [aut], Guillem Rigaill [aut], Gaetano Romano [aut], Fatemeh Afghah [aut], Paul Fearnhead [aut], Michel Koskas [ctb], Arnaud Liehrmann [ctb]
Repository: CRAN
Date/Publication: 2020-11-25 10:30:05 UTC

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Package GE updated to version 0.1.6 with previous version 0.1.4 dated 2020-06-11

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see <https://www.nse.pku.edu.cn/> and LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to von Neumann, J. (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9) and Kemeny, J. G., O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

Diff between GE versions 0.1.4 dated 2020-06-11 and 0.1.6 dated 2020-11-25

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Package fflr updated to version 0.3.13 with previous version 0.3.12 dated 2020-11-06

Title: Collect ESPN Fantasy Football Data
Description: Format the raw data from the ESPN fantasy football API <https://fantasy.espn.com/apis/v3/games/ffl/> into tidy tables. Scrape data on public leagues, rosters, athletes, and matches.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

Diff between fflr versions 0.3.12 dated 2020-11-06 and 0.3.13 dated 2020-11-25

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New package ezr with initial version 0.1.5
Package: ezr
Title: Easy Use of R via Shiny App for Basic Analyses of Experimental Data
Version: 0.1.5
Authors@R: person(given = "Jin", family = "Kim", role = c("aut", "cre"), email = "jin.m.kim@yale.edu", comment = c(ORCID = "https://orcid.org/0000-0002-5013-3958"))
Description: Runs a Shiny App in the local machine for basic statistical and graphical analyses. The point-and-click interface of Shiny App enables obtaining the same analysis outputs (e.g., plots and tables) more quickly, as compared with typing the required code in R, especially for users without much experience or expertise with coding. Examples of possible analyses include tabulating descriptive statistics for a variable, creating histograms by experimental groups, and creating a scatter plot and calculating the correlation between two variables.
License: GPL-3
URL: https://github.com/jinkim3/ezr
BugReports: https://github.com/jinkim3/ezr/issues
Imports: data.table, DT, ggplot2, ggridges, moments, shiny, shinydashboard, stats, weights
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-23 15:39:26 UTC; v
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>
Repository: CRAN
Date/Publication: 2020-11-25 10:30:08 UTC

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New package EigenR with initial version 1.0.0
Package: EigenR
Type: Package
Title: Complex Matrix Algebra with 'Eigen'
Version: 1.0.0
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Matrix algebra using the 'Eigen' C++ library: determinant, rank, inversion, kernel and image, QR decomposition, Cholesky decomposition, linear least-squares problems. Complex matrices are supported.
License: GPL-3
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.1
Encoding: UTF-8
URL: https://github.com/stla/EigenR
BugReports: https://github.com/stla/EigenR/issues
NeedsCompilation: yes
Packaged: 2020-11-23 15:03:50 UTC; stla
Repository: CRAN
Date/Publication: 2020-11-25 10:20:05 UTC

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New package eatGADS with initial version 0.15.2
Package: eatGADS
Title: Data Management of Large Hierarchical Data
Version: 0.15.2
Authors@R: person("Benjamin", "Becker", email = "b.becker@iqb.hu-berlin.de", role = c("aut", "cre"))
Description: Import 'SPSS' data, handle and change 'SPSS' meta data, store and access large hierarchical data in 'SQLite' data bases.
Depends: R (>= 3.5.0)
Imports: eatDB (>= 0.4.1), haven (>= 2.1.0), plyr, eatTools (>= 0.1.3), tibble, data.table, hms
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, covr, tidyr (>= 1.1.0)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-23 16:09:59 UTC; beckerbz
Author: Benjamin Becker [aut, cre]
Maintainer: Benjamin Becker <b.becker@iqb.hu-berlin.de>
Repository: CRAN
Date/Publication: 2020-11-25 10:30:11 UTC

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New package wal with initial version 0.0.1
Package: wal
Type: Package
Title: Read and Write 'wal' Bitmap Image Files
Version: 0.0.1
Authors@R: person("Tim", "Schäfer", role = c("aut", "cre"), email = "ts+code@rcmd.org", comment = c(ORCID = "0000-0002-3683-8070"))
Maintainer: Tim Schäfer <ts+code@rcmd.org>
Description: Read bitmap images and textures in 'wal' file format.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/dfsp-spirit/wal
BugReports: https://github.com/dfsp-spirit/wal/issues
Imports: freesurferformats (>= 0.1.12), imager, jpeg, png, spacesXYZ
Suggests: knitr, rmarkdown, testthat (>= 2.1.0),
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-11-23 11:56:48 UTC; spirit
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Repository: CRAN
Date/Publication: 2020-11-25 09:40:03 UTC

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New package Q7 with initial version 0.1.0
Package: Q7
Title: Types and Features for Object Oriented Programming
Version: 0.1.0
Authors@R: c(person("Siqi", "Zhang", email = "iqis.gnahz@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2617-5776")), person("Bayer HealthCare", role = c("fnd")))
Description: Construct message-passing style objects with types and features. Q7 types uses composition instead of inheritance in creating derived types, allowing defining any code segment as feature and associating any feature to any object. Compared to R6, Q7 is simpler and more flexible, and is more friendly in syntax.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: magrittr
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-23 14:20:23 UTC; ELATI
Author: Siqi Zhang [aut, cre] (<https://orcid.org/0000-0003-2617-5776>), Bayer HealthCare [fnd]
Maintainer: Siqi Zhang <iqis.gnahz@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 10:00:06 UTC

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New package pencal with initial version 0.1.1
Package: pencal
Title: Penalized Regression Calibration (PRC)
Version: 0.1.1
Authors@R: c(person(given = "Mirko", family = "Signorelli", role = c("aut", "cre", "cph"), email = "msignorelli.rpackages@gmail.com", comment = c(ORCID = "0000-0002-8102-3356")), person(given = "Pietro", family = "Spitali", role = "ctb", email = "p.spitali@lumc.nl"), person(given = "Roula", family = "Tsonaka", role = "ctb", email = "s.tsonaka@lumc.nl"))
Description: Computes the penalized regression calibration (PRC) method, that allows to predict survival using high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (in review).
License: GPL-3
URL: https://mirkosignorelli.github.io/r
Depends: R (>= 4.0.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: foreach, doParallel, glmnet, nlme, survival, MASS, survcomp, survivalROC, ptmixed, stats, dplyr
NeedsCompilation: no
Packaged: 2020-11-23 13:48:50 UTC; msignorelli
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>
Repository: CRAN
Date/Publication: 2020-11-25 10:00:02 UTC

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New package CFAcoop with initial version 0.1.0
Package: CFAcoop
Type: Package
Title: Colony Formation Assay: Taking into Account Cellular Cooperation
Version: 0.1.0
Authors@R: c( person("Daniel", "Samaga", email = "daniel.samaga@helmholtz-muenchen.de", role = c("cre","aut")), person("Nikko", "Brix", role = "aut"), person("Kirsten", "Lauber", role = "aut"), person("Horst", "Zitzelsberger", role = "aut"))
Maintainer: Daniel Samaga <daniel.samaga@helmholtz-muenchen.de>
Depends: R (>= 3.5.0)
URL: https://github.com/ZytoHMGU/CFAcoop
BugReports: https://github.com/ZytoHMGU/CFAcoop/issues
Description: Cellular cooperation compromises the plating efficiency-based analysis of clonogenic survival data. This tool provides functions that enable a robust analysis of colony formation assay (CFA) data in presence or absence of cellular cooperation. The implemented method has been described in Brix et al. (2020). (Brix, N., Samaga, D., Hennel, R. et al. "The clonogenic assay: robustness of plating efficiency-based analysis is strongly compromised by cellular cooperation." Radiat Oncol 15, 248 (2020). <doi:10.1186/s13014-020-01697-y>) Power regression for parameter estimation, calculation of survival fractions, uncertainty analysis and plotting functions are provided.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: mvtnorm, Hmisc
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-11-23 07:56:30 UTC; daniel.samaga
Author: Daniel Samaga [cre, aut], Nikko Brix [aut], Kirsten Lauber [aut], Horst Zitzelsberger [aut]
Repository: CRAN
Date/Publication: 2020-11-25 09:30:02 UTC

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Package SBdecomp updated to version 1.1 with previous version 1.0 dated 2020-05-12

Title: Estimation of the Proportion of SB Explained by Confounders
Description: Uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects. Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, 39(18): 2447- 2476 <doi: 10.1002/sim.8549>.
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>

Diff between SBdecomp versions 1.0 dated 2020-05-12 and 1.1 dated 2020-11-25

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Package yamlet updated to version 0.5.2 with previous version 0.5.1 dated 2020-11-24

Title: Versatile Curation of Table Metadata
Description: A file-based mechanism for documenting datasets. It reads and writes YAML-formatted metadata and applies it as data item attributes. Data and metadata are stored independently but can be coordinated by using similar file paths with different extensions. The 'yamlet' dialect is valid 'YAML', but some conventions are chosen to improve readability. Defaults and conventions can be over-ridden by the user. See ?yamlet and ?decorate.data.frame. See ?read_yamlet ?write_yamlet, and ?io_csv.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

Diff between yamlet versions 0.5.1 dated 2020-11-24 and 0.5.2 dated 2020-11-25

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Package ruler updated to version 0.2.4 with previous version 0.2.3 dated 2020-05-09

Title: Tidy Data Validation Reports
Description: Tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using 'dplyr' grammar of data manipulation.
Author: Evgeni Chasnovski [aut, cre] (<https://orcid.org/0000-0002-1617-4019>)
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

Diff between ruler versions 0.2.3 dated 2020-05-09 and 0.2.4 dated 2020-11-25

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Package PROsetta updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-20

Title: Linking Patient-Reported Outcomes Measures
Description: Perform scale linking to establish relationships between instruments that measure similar constructs according to the PROsetta Stone methodology, as in Choi, Schalet, Cook, & Cella (2014) <doi:10.1037/a0035768>.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>), Benjamin D. Schalet [ctb], Aaron J. Kaat [ctb], David Cella [ctb]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

Diff between PROsetta versions 0.2.0 dated 2020-09-20 and 0.2.1 dated 2020-11-25

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Package inti updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-17

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing (rtciles()). Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

Diff between inti versions 0.1.1 dated 2020-11-17 and 0.1.2 dated 2020-11-25

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Package CVEK updated to version 0.1-1 with previous version 0.1-0 dated 2020-11-23

Title: Cross-Validated Kernel Ensemble
Description: Implementation of Cross-Validated Kernel Ensemble (CVEK), a flexible modeling framework for robust nonlinear regression and hypothesis testing based on ensemble learning with kernel-ridge estimators (Jeremiah et al. (2017) <arXiv:1710.01406> and Wenying et al. (2018) <arXiv:1811.11025>). It allows user to conduct nonlinear regression with minimal assumption on the function form by aggregating nonlinear models generated from a diverse collection of kernel families. It also provides utilities to test for the estimated nonlinear effect under this ensemble estimator, using either the asymptotic or the bootstrap version of a generalized score test.
Author: Wenying Deng [aut, cre], Jeremiah Zhe Liu [ctb]
Maintainer: Wenying Deng <wdeng@g.harvard.edu>

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Package getTBinR (with last version 0.7.1) was removed from CRAN

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

2020-06-11 0.7.1
2019-09-03 0.7.0
2019-06-05 0.6.1
2019-05-23 0.6.0
2019-01-23 0.5.7
2018-11-15 0.5.6
2018-09-28 0.5.5
2018-05-16 0.5.4
2018-03-10 0.5.3
2018-02-13 0.5.2
2018-01-26 0.5.1
2018-01-05 0.5.0

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Package tryCatchLog updated to version 1.2.1 with previous version 1.1.6 dated 2019-11-06

Title: Advanced 'tryCatch()' and 'try()' Functions
Description: Advanced tryCatch() and try() functions for better error handling (logging, stack trace with source code references and support for post-mortem analysis via dump files).
Author: Juergen Altfeld [aut, cre, cph], Charles Epaillard [ctb], Brandon Bertelsen [ctb]
Maintainer: Juergen Altfeld <jaltfeld@altfeld-im.de>

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Package simstandard updated to version 0.6.0 with previous version 0.5.0 dated 2020-10-22

Title: Generate Standardized Data
Description: Creates simulated data from structural equation models with standardized loading. Data generation methods are described in Schneider (2013) <doi:10.1177/0734282913478046>.
Author: W. Joel Schneider [aut, cre] (<https://orcid.org/0000-0002-8393-5316>)
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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Package mixIndependR updated to version 0.4.0 with previous version 0.3.0 dated 2020-10-07

Title: Genetics and Independence Testing of Mixed Genetic Panels
Description: Developed to deal with multi-locus genotype data, this package is especially designed for those panel which include different type of markers. Basic genetic parameters like allele frequency, genotype frequency, heterozygosity and Hardy-Weinberg test of mixed genetic data can be obtained. In addition, a new test for mutual independence which is compatible for mixed genetic data is developed in this package.
Author: Bing Song
Maintainer: Bing Song <bingsong@my.unthsc.edu>

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Package BayesSPsurv updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-28

Title: Bayesian Spatial Split Population Survival Model
Description: Parametric spatial split-population (SP) survival models for clustered event processes. The models account for structural and spatial heterogeneity among “at risk” and “immune” populations, and incorporate time-varying covariates. This package currently implements Weibull, Exponential and Log-logistic forms for the duration component. It also includes functions for a series of diagnostic tests and plots to easily visualize spatial autocorrelation, convergence, and spatial effects. Users can create their own spatial weights matrix based on their units and adjacencies of interest, making the use of these models flexible and broadly applicable to a variety of research areas. Joo et al. (2020) <https://github.com/Nicolas-Schmidt/BayesSPsurv/blob/master/man/figures/SPcure.pdf> describe the estimators included in this package.
Author: Brandon L. Bolte [aut], Nicolas Schmidt [aut, cre], Sergio Bejar [aut], Bumba Mukherjee [aut], Minnie M. Joo [ctb], Nguyen K. Huynh [ctb]
Maintainer: Nicolas Schmidt <nschmidt@cienciassociales.edu.uy>

Diff between BayesSPsurv versions 0.1.0 dated 2020-09-28 and 0.1.1 dated 2020-11-25

 DESCRIPTION            |   12 +++++----
 MD5                    |   24 +++++++++++--------
 NAMESPACE              |    2 +
 NEWS.md                |only
 R/exchangeSPsurv.R     |    2 -
 R/plots.R              |only
 R/pooledSPsurv.R       |    2 -
 R/spatialSPsurv.R      |    2 -
 R/utils.R              |   60 ++++++++++++++++++++++++++++++++++++++++++++++---
 README.md              |   12 +++++++--
 man/exchangeSPsurv.Rd  |    2 -
 man/plot_JointCount.Rd |only
 man/plot_Moran.I.Rd    |only
 man/pooledSPsurv.Rd    |    2 -
 man/spatialSPsurv.Rd   |    2 -
 15 files changed, 95 insertions(+), 27 deletions(-)

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