Wed, 07 Oct 2020

Package simstudy updated to version 0.2.1 with previous version 0.2.0 dated 2020-10-06

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre] (<https://orcid.org/0000-0002-0292-8780>), Jacob Wujciak-Jens [aut] (<https://orcid.org/0000-0002-7281-3989>)
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

Diff between simstudy versions 0.2.0 dated 2020-10-06 and 0.2.1 dated 2020-10-07

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Package RaceID updated to version 0.2.2 with previous version 0.2.1 dated 2020-08-10

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>

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Package NetRep updated to version 1.2.4 with previous version 1.2.1 dated 2018-06-12

Title: Permutation Testing Network Module Preservation Across Datasets
Description: Functions for assessing the replication/preservation of a network module's topology across datasets through permutation testing; Ritchie et al. (2015) <doi: 10.1016/j.cels.2016.06.012>.
Author: Scott Ritchie [aut, cre]
Maintainer: Scott Ritchie <sritchie73@gmail.com>

Diff between NetRep versions 1.2.1 dated 2018-06-12 and 1.2.4 dated 2020-10-07

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Package gert updated to version 1.0.0 with previous version 0.3 dated 2019-10-29

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent. On Linux, a somewhat recent version of 'libgit2' is required; we provide a 'PPA' for older Ubuntu 'LTS' versions.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Jennifer Bryan [ctb] (<https://orcid.org/0000-0002-6983-2759>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package Tplyr updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-29

Title: A Grammar of Clinical Data Summary
Description: A tool created to simplify the data manipulation necessary to create clinical reports.
Author: Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>), Mike Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>), Ashley Tarasiewicz [aut], Nathan Kosiba [aut] (<https://orcid.org/0000-0001-5359-4234>), Atorus Research LLC [cph]
Maintainer: Mike Stackhouse <mike.stackhouse@atorusresearch.com>

Diff between Tplyr versions 0.1.2 dated 2020-09-29 and 0.1.3 dated 2020-10-07

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Package mlr3tuning updated to version 0.4.0 with previous version 0.3.0 dated 2020-09-08

Title: Tuning for 'mlr3'
Description: Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Daniel Schalk [aut] (<https://orcid.org/0000-0003-0950-1947>)
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 0.3.0 dated 2020-09-08 and 0.4.0 dated 2020-10-07

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Package cvms updated to version 1.1.0 with previous version 1.0.2 dated 2020-05-28

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre], Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between cvms versions 1.0.2 dated 2020-05-28 and 1.1.0 dated 2020-10-07

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Package autoimage updated to version 2.2.1 with previous version 2.1.12 dated 2020-07-20

Title: Multiple Heat Maps for Projected Coordinates
Description: Functions for displaying multiple images or scatterplots with a color scale, i.e., heat maps, possibly with projected coordinates. The package relies on the base graphics system, so graphics are rendered rapidly.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

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Package Rcmdr updated to version 2.7-1 with previous version 2.7-0 dated 2020-08-28

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre], Milan Bouchet-Valat [aut], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ctb], Kosar Karimi Pour [ctb], G. Jay Kerns [ctb], Renaud Lancelot [ctb], Matthieu Lesnoff [ctb], Uwe Ligges [ctb], Samir Messad [ctb], Martin Maechler [ctb], Robert Muenchen [ctb], Duncan Murdoch [ctb], Erich Neuwirth [ctb], Dan Putler [ctb], Brian Ripley [ctb], Miroslav Ristic [ctb], Peter Wolf [ctb], Kevin Wright [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package genBart (with last version 1.0.1) was removed from CRAN

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

2018-03-13 1.0.1

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Package icesTAF (with last version 3.5-0) was removed from CRAN

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

2020-05-15 3.5-0
2020-04-07 3.4-0
2020-01-29 3.3-3
2020-01-07 3.3-2
2019-12-11 3.3-1
2019-12-03 3.3-0
2019-11-01 3.2-0
2019-05-24 3.1-1
2019-04-25 3.0-0
2019-04-08 2.3-0
2019-02-22 2.2-0
2019-01-08 2.1-0
2018-12-07 2.0-0
2018-08-03 1.6-2
2018-06-28 1.6-1
2018-05-15 1.6-0
2018-04-27 1.5-3
2018-03-20 1.5-1
2018-01-25 1.5-0
2017-12-05 1.4-1
2017-10-30 1.4-0
2017-06-03 1.3-2

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Package valr updated to version 0.6.2 with previous version 0.6.1 dated 2020-05-08

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut, cre] (<https://orcid.org/0000-0002-6299-179X>), Kent Riemondy [aut] (<https://orcid.org/0000-0003-0750-1273>), RNA Bioscience Initiative [fnd]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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Package pleiades updated to version 0.3.0 with previous version 0.2.0 dated 2017-06-15

Title: Interface to the 'Pleiades' 'Archeological' Database
Description: Provides a set of functions for interacting with the 'Pleiades' (<https://pleiades.stoa.org/>) 'API', including getting status data, places data, and creating a 'GeoJSON' based map on 'GitHub' 'gists'.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package parzer updated to version 0.2.0 with previous version 0.1.4 dated 2020-03-29

Title: Parse Messy Geographic Coordinates
Description: Parse geographic coordinates from various formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Alban Sagouis [ctb], Jeffrey Bogan [ctb] (C++ code originally from Jeffrey Bogan, but completely re-written), Julien Brun [rev] (Julien Brun reviewed the package, see https://github.com/ropensci/onboarding/issues/341), Maria Munafó [rev] (Maria Munafó reviewed the package, see https://github.com/ropensci/onboarding/issues/341), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

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Package DynComm updated to version 2020.1.6 with previous version 2020.1.5 dated 2020-09-28

Title: Dynamic Network Communities Detection and Generation
Description: Used for evolving network analysis regarding community detection. Implements several algorithms that calculate communities for graphs whose nodes and edges change over time. Edges, which can have new nodes, can be added or deleted. Changes in the communities are calculated without recalculating communities for the entire graph. REFERENCE: M. Cordeiro et al. (2016) <DOI:10.1007/s13278-016-0325-1> G. Rossetti et al. (2017) <DOI:10.1007/s10994-016-5582-8> G. Rossetti (2017) <DOI:10.1093/comnet/cnx016> R. Sarmento (2019) <arXiv:1904.12593>.
Author: Rui P. Sarmento [aut, cre] (<https://orcid.org/0000-0003-1891-5295>), Luís Lemos [aut], Mário Cordeiro [ctb], Giulio Rossetti [ctb]
Maintainer: Rui P. Sarmento <email@ruisarmento.com>

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Package tinytest updated to version 1.2.3 with previous version 1.2.2 dated 2020-06-18

Title: Lightweight and Feature Complete Unit Testing Framework
Description: Provides a lightweight (zero-dependency) and easy to use unit testing framework. Main features: install tests with the package. Test results are treated as data that can be stored and manipulated. Test files are R scripts interspersed with test commands, that can be programmed over. Fully automated build-install-test sequence for packages. Skip tests when not run locally (e.g. on CRAN). Flexible and configurable output printing. Compare computed output with output stored with the package. Run tests in parallel. Extensible by other packages. Report side effects.
Author: Mark van der Loo [aut, cre] (<https://orcid.org/0000-0002-9807-4686>)
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package usmap updated to version 0.5.1 with previous version 0.5.0 dated 2019-09-12

Title: US Maps Including Alaska and Hawaii
Description: Obtain United States map data frames of varying region types (e.g. county, state). The map data frames include Alaska and Hawaii conveniently placed to the bottom left, as they appear in most maps of the US. Convenience functions for plotting choropleths and working with FIPS codes are also provided.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <paolo@dilorenzo.pl>

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Package scipub updated to version 1.2.1 with previous version 1.2.0 dated 2020-09-22

Title: Summarize Data for Scientific Publication
Description: Create and format tables and APA statistics for scientific publication. This includes making a 'Table 1' to summarize demographics across groups, correlation tables with significance indicated by stars, and extracting formatted statistical summarizes from simple tests for in-text notation. The package also includes functions for Winsorizing data based on a Z-statistic cutoff.
Author: David Pagliaccio [aut, cre] (<https://orcid.org/0000-0002-1214-1965>)
Maintainer: David Pagliaccio <david.pagliaccio@gmail.com>

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More information about scipub at CRAN
Permanent link

Package rrefine updated to version 1.1.0 with previous version 1.0 dated 2016-04-08

Title: r Client for OpenRefine API
Description: 'OpenRefine' (formerly 'Google Refine') is a popular, open source data cleaning software. This package enables users to programmatically trigger data transfer between R and 'OpenRefine'. Available functionality includes project import, export and deletion.
Author: VP Nagraj [aut, cre]
Maintainer: VP Nagraj <nagraj@nagraj.net>

Diff between rrefine versions 1.0 dated 2016-04-08 and 1.1.0 dated 2020-10-07

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Permanent link

Package RcppSimdJson updated to version 0.1.2 with previous version 0.1.1 dated 2020-08-11

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <arXiv:1902.08318> paper for more details about 'simdjson'. This package is at present still a fairly thin and not fully complete wrapper that does not aim to replace the existing and excellent 'JSON' packages for R.
Author: Dirk Eddelbuettel, Brendan Knapp
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.1.1 dated 2020-08-11 and 0.1.2 dated 2020-10-07

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More information about RcppSimdJson at CRAN
Permanent link

Package sp updated to version 1.4-4 with previous version 1.4-2 dated 2020-05-20

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 1.4-2 dated 2020-05-20 and 1.4-4 dated 2020-10-07

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More information about sp at CRAN
Permanent link

Package wrProteo updated to version 1.1.4 with previous version 1.1.3 dated 2020-07-18

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Quantitative proteomics (Schubert et al 2017 <doi:10.1038/nprot.2017.040>) measurements frequently contain multiple NA values, due to physical absence of given peptides in some samples, limitations in sensitivity or other reasons. The functions provided here help to inspect graphically the data to investigate the nature of NA-values via their respective replicate measurements and to help/confirm the choice of NA-replacement by low random values. Dedicated filtering and statistical testing using the framework of package 'limma' <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of NA-replacements to provide robustness towards rare stochastic events. Multi-species samples, as frequently used in benchmark-tests (eg Navarro et al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options separating the data into sub-groups during normalization and testing. Subsequently, ROC curves (Hand and Till 2001 <doi:10.1023/A:1010920819831>) can be constructed to compare multiple analysis approaches.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

Diff between wrProteo versions 1.1.3 dated 2020-07-18 and 1.1.4 dated 2020-10-07

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Permanent link

Package taxlist updated to version 0.2.0 with previous version 0.1.9 dated 2020-05-31

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented as summary-methods.
Author: Miguel Alvarez [aut, cre] (<https://orcid.org/0000-0003-1500-1834>), Zachary Foster [ctb] (<https://orcid.org/0000-0002-5075-0948>), Sam Levin [rev], Margaret Siple [rev]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between taxlist versions 0.1.9 dated 2020-05-31 and 0.2.0 dated 2020-10-07

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More information about taxlist at CRAN
Permanent link

New package TVMM with initial version 3.2
Package: TVMM
Type: Package
Title: Multivariate Tests for the Vector of Means
Version: 3.2
Authors@R: c( person("Henrique", "Jose de Paula Alves", email = "jpahenrique@gmail.com", role= c("aut", "cre")), person("Ben", "Deivide de Oliveira Batista", email = "ben.deivide@gmail.com", role = "ctb"), person("Daniel", "Furtado Ferreira", email = "danielff@ufla.br", role= "aut"))
Author: Henrique Jose de Paula Alves [aut, cre], Ben Deivide de Oliveira Batista [ctb], Daniel Furtado Ferreira [aut]
Maintainer: Henrique Jose de Paula Alves <jpahenrique@gmail.com>
Description: This is a statistical tool interactive that provides multivariate statistical tests that are more powerful than traditional Hotelling T2 test and LRT (likelihood ratio test) for the vector of normal mean populations with and without contamination and non-normal populations (Henrique J. P. Alves & Daniel F. Ferreira (2019) <DOI: 10.1080/03610918.2019.1693596>).
Depends: R (>= 3.1.0)
Imports: tcltk, ggplot2, robustbase, tcltk2, tkrplot, gridExtra, stats, utils, MASS, grDevices, DescToolsAddIns
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-07 10:22:17 UTC; Henrique
Repository: CRAN
Date/Publication: 2020-10-07 12:40:10 UTC

More information about TVMM at CRAN
Permanent link

Package survHE updated to version 1.1.1 with previous version 1.1 dated 2020-08-06

Title: Survival Analysis in Health Economic Evaluation
Description: Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). doi:10.18637/jss.v095.i14.
Author: Gianluca Baio [aut, cre]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>

Diff between survHE versions 1.1 dated 2020-08-06 and 1.1.1 dated 2020-10-07

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More information about survHE at CRAN
Permanent link

New package skynet with initial version 1.4.0
Type: Package
Package: skynet
Version: 1.4.0
Title: Generates Networks from BTS Data
Authors@R: person("Filipe", "Teixeira", email = "Filipe.MarquesTeixeira@Ugent.be", role = c("aut", "cre"))
Maintainer: Filipe Teixeira <Filipe.MarquesTeixeira@Ugent.be>
URL: https://github.com/ropensci/skynet
Description: A flexible tool that allows generating bespoke air transport statistics for urban studies based on publicly available data from the Bureau of Transport Statistics (BTS) in the United States <https://www.transtats.bts.gov/databases.asp?Mode_ID=1&Mode_Desc=Aviation&Subject_ID2=0>.
License: MIT + file LICENSE
BugReports: https://github.com/ropensci/skynet/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Collate: 'PowerLaw.R' 'createNodes.R' 'data_ODsample.R' 'data_airports.R' 'data_carriers.R' 'data_metro.R' 'disparityfilter.R' 'findAirport.R' 'fromto.R' 'netImport.R' 'netDir.R' 'netUnd.R' 'netInt.R' 'netPath.R' 'make_net_trip.R' 'skynet.R' 'nodeStats.R' 'import_t100.R' 'import_db1b.R' 'import_ontime.R' 'findCarrier.R' 'plotMap.R' 'skynet_example.R' 'bootnet.R' 'summary.R' 'download_db1b.R' 'download_t100.R' 'download_t100_int.R' 'download_ontime.R'
Depends: R (>= 3.1.2)
Imports: data.table, igraph, dplyr, ggplot2, ggrepel, stringr, maps, httr, geosphere, leaflet
Suggests: knitr, rmarkdown, testthat, kableExtra, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-05 11:32:17 UTC; Fil
Author: Filipe Teixeira [aut, cre]
Repository: CRAN
Date/Publication: 2020-10-07 12:40:03 UTC

More information about skynet at CRAN
Permanent link

Package SAR updated to version 1.0.3 with previous version 1.0.1 dated 2019-05-02

Title: Smart Adaptive Recommendations
Description: 'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.
Author: Hong Ooi [aut, cre], Microsoft Product Recommendations team [ctb] (source for MS sample datasets), Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between SAR versions 1.0.1 dated 2019-05-02 and 1.0.3 dated 2020-10-07

 DESCRIPTION           |   17 +++++++++--------
 MD5                   |   34 +++++++++++++++++-----------------
 NEWS.md               |    8 ++++++++
 R/az_rec_model.R      |    2 +-
 R/az_service.R        |    2 +-
 R/cold_items_model.R  |    8 ++++----
 R/ms_data.R           |   24 ++++++++++++++----------
 R/onload.R            |   12 ++++++------
 R/predict_sar.R       |    4 ++--
 R/sar.R               |    8 ++++----
 README.md             |    2 +-
 man/az_rec_service.Rd |    6 ++----
 man/ms_catalog.Rd     |   16 +++++++++-------
 man/ms_usage.Rd       |   16 +++++++++-------
 man/rec_endpoint.Rd   |    6 ++----
 man/rec_model.Rd      |    6 ++----
 man/sar.Rd            |   35 +++++++++++++++++++++++++++--------
 man/user_predict.Rd   |   10 ++++++++--
 18 files changed, 126 insertions(+), 90 deletions(-)

More information about SAR at CRAN
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New package modeltime.ensemble with initial version 0.1.0
Package: modeltime.ensemble
Type: Package
Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Version: 0.1.0
Authors@R: c( person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")), person("Business Science", role = "cph") )
Description: A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability. Refer to papers such as "Machine-Learning Models for Sales Time Series Forecasting" Pavlyshenko, B.M. (2019) <doi:10.3390>.
URL: https://github.com/business-science/modeltime.ensemble
BugReports: https://github.com/business-science/modeltime.ensemble/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: modeltime (>= 0.2.0), R (>= 3.5)
Imports: tune, rsample, yardstick, workflows, parsnip, recipes, dials, timetk (>= 2.3.0), tibble, dplyr, tidyr, purrr, glue, stringr, rlang (>= 0.1.2), cli, crayon, utils, generics, magrittr, glmnet, progressr, tictoc
Suggests: roxygen2, testthat, tidymodels, tidyverse, lubridate, knitr, rmarkdown, covr, remotes
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-01 18:51:13 UTC; mdancho
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>
Repository: CRAN
Date/Publication: 2020-10-07 12:30:06 UTC

More information about modeltime.ensemble at CRAN
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Package mixIndependR updated to version 0.3.0 with previous version 0.2.1 dated 2020-03-14

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>

Diff between mixIndependR versions 0.2.1 dated 2020-03-14 and 0.3.0 dated 2020-10-07

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 mixIndependR-0.3.0/mixIndependR/NAMESPACE           |    5 +-
 mixIndependR-0.3.0/mixIndependR/NEWS.md             |   18 ++++++++++
 mixIndependR-0.3.0/mixIndependR/R/AlleleFreq.R      |   17 ---------
 mixIndependR-0.3.0/mixIndependR/R/DistAlleleShare.R |    2 -
 mixIndependR-0.3.0/mixIndependR/R/DistHetero.R      |    1 
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 18 files changed, 61 insertions(+), 56 deletions(-)

More information about mixIndependR at CRAN
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Package littler updated to version 0.3.12 with previous version 0.3.11 dated 2020-06-26

Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
Author: Dirk Eddelbuettel and Jeff Horner
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between littler versions 0.3.11 dated 2020-06-26 and 0.3.12 dated 2020-10-07

 ChangeLog                      |   80 +
 DESCRIPTION                    |   10 
 MD5                            |   44 
 README.md                      |   15 
 build/vignette.rds             |binary
 configure                      |   18 
 inst/NEWS.Rd                   |   35 
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 vignettes/littler-faq.Rmd      |   15 
 27 files changed, 1125 insertions(+), 3414 deletions(-)

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New package hdiVAR with initial version 1.0.1
Package: hdiVAR
Type: Package
Title: Statistical Inference for Noisy Vector Autoregression
Version: 1.0.1
Authors@R: c(person("Xiang", "Lyu", role = c("aut","cre"), email="xianglyu@berkeley.edu"), person("Jian", "Kang", role = c("aut")), person("Lexin", "Li", role = c("aut")))
Description: The model is high-dimensional vector autoregression with measurement error, also known as linear gaussian state-space model. Provable sparse expectation-maximization algorithm is provided for the estimation of transition matrix and noise variances. Global and simultaneous testings are implemented for transition matrix with false discovery rate control. For more information, see the accompanying paper: Lyu, X., Kang, J., & Li, L. (2020). "Statistical inference for high-dimensional vector autoregression with measurement error", arXiv preprint <arXiv:2009.08011>.
Imports: lpSolve, abind
License: GPL (>= 2)
Depends: R (>= 3.1)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Xiang Lyu [aut, cre], Jian Kang [aut], Lexin Li [aut]
Maintainer: Xiang Lyu <xianglyu@berkeley.edu>
NeedsCompilation: no
Packaged: 2020-10-01 18:29:18 UTC; xianglyu
Repository: CRAN
Date/Publication: 2020-10-07 12:20:03 UTC

More information about hdiVAR at CRAN
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New package fanovaGraph with initial version 1.5
Package: fanovaGraph
Type: Package
Title: Building Kriging Models from FANOVA Graphs
Version: 1.5
Date: 2020-10-01
Author: Jana Fruth, Thomas Muehlenstaedt, Olivier Roustant, Malte Jastrow, Sonja Kuhnt
Maintainer: Sonja Kuhnt <sonja.kuhnt@fh-dortmund.de>
Description: Estimation and plotting of a function's FANOVA graph to identify the interaction structure and fitting, prediction and simulation of a Kriging model modified by the identified structure. The interactive function plotManipulate() can only be run on the 'RStudio IDE' with 'RStudio' package 'manipulate' loaded. 'RStudio' is freely available (<https://rstudio.com/>), and includes package 'manipulate'. The equivalent function plotTk() bases on CRAN Repository packages only. For further information on the method see Fruth, J., Roustant, O., Kuhnt, S. (2014) <doi:10.1016/j.jspi.2013.11.007>.
License: GPL-3
LazyLoad: yes
Depends: sensitivity, igraph, DiceKriging (>= 1.4)
Suggests: manipulate, testthat
Packaged: 2020-10-06 15:30:48 UTC; Sonja
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2020-10-07 12:10:02 UTC

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New package satin with initial version 1.0
Package: satin
Type: Package
Title: Visualisation and Analysis of Ocean Data Derived from Satellites
Version: 1.0
Date: 2020-09-26
Encoding: UTF-8
Author: Héctor Villalobos and Eduardo González-Rodríguez <egonzale@cicese.mx>
Maintainer: Héctor Villalobos <hvillalo@ipn.mx>
Description: With 'satin' functions, visualisation, data extraction and further analysis like producing climatologies from several images, and anomalies of satellite derived ocean data can be easily done. Reading functions can import a user defined geographical extent of data stored in netCDF files. Currently supported ocean data sources include NASA's Oceancolor web page <https://oceancolor.gsfc.nasa.gov/>, sensors VIIRS-SNPP; MODIS-Terra; MODIS-Aqua; and SeaWiFS. Available variables from this source includes chlorophyll concentration, sea surface temperature (SST), and several others. Data sources specific for SST that can be imported too includes Pathfinder AVHRR <https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst> and GHRSST <https://www.ghrsst.org/>. In addition, ocean productivity data produced by Oregon State University <http://sites.science.oregonstate.edu/ocean.productivity/> can also be handled previous conversion from HDF4 to HDF5 format. Many other ocean variables can be processed by importing netCDF data files from two European Union's Copernicus Marine Service databases <https://marine.copernicus.eu/>, namely Global Ocean Physical Reanalysis and Global Ocean Biogeochemistry Hindcast.
Depends: R (>= 3.5.0)
License: GPL-3
URL: https://github.com/hvillalo/satin
BugReports: https://github.com/hvillalo/satin/issues
Collate: satin-class.R read.cmems.R read.ghrsst.R read.nasaoc.R read.osunpp.R fmainPos.R imageScale.R plot.satin.R satinPalette.R quiver.R verticalProfiles.R satinDataframe.R pixelate.R climatology.R crop.R extractPts.R isolines.R satinMean.R anomaly.R
Imports: ncdf4, maps, maptools, PBSmapping, grDevices, splancs, sp, geosphere, graphics, methods, lubridate
NeedsCompilation: no
Packaged: 2020-10-01 14:19:20 UTC; hecvi
Repository: CRAN
Date/Publication: 2020-10-07 12:00:02 UTC

More information about satin at CRAN
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New package quantdr with initial version 1.0.0
Package: quantdr
Type: Package
Title: Dimension Reduction Techniques for Conditional Quantiles
Version: 1.0.0
Authors@R: person("Eliana", "Christou", email="echris15@uncc.edu", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0001-5044-0969"))
Description: An implementation of dimension reduction techniques for conditional quantiles. Nonparametric estimation of conditional quantiles is also available.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Imports: dr, KernSmooth, MTS, mvtnorm, quantreg
Depends: R (>= 3.1.0)
RoxygenNote: 7.1.1
Collate: 'bic_d.R' 'llqrcv.R' 'llqr.R' 'cqs.R'
Suggests: knitr, rmarkdown, testthat, pracma, MASS
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://github.com/elianachristou/quantdr
BugReports: https://github.com/elianachristou/quantdr/issues
NeedsCompilation: no
Packaged: 2020-10-01 14:16:49 UTC; echris15
Author: Eliana Christou [aut, cre] (<https://orcid.org/0000-0001-5044-0969>)
Maintainer: Eliana Christou <echris15@uncc.edu>
Repository: CRAN
Date/Publication: 2020-10-07 11:50:03 UTC

More information about quantdr at CRAN
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New package PVplr with initial version 0.1.0
Package: PVplr
Type: Package
Title: Performance Loss Rate Analysis Pipeline
Version: 0.1.0
Authors@R: c( person("Alan", "Curran", email = "alan.curran@case.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4505-8359")), person("Tyler", "Burleyson", email = "tyler.burleyson@case.edu", role = "aut", comment = c(ORCID = "0000-0002-6356-5354")), person("Sascha", "Lindig", email = "Sascha.Lindig@eurac.edu", role = "aut", comment = c(ORCID = "0000-0001-5421-8265")), person("David", "Moser", email = "david.moser@eurac.edu", role = "aut", comment = c(ORCID = "0000-0002-4895-8862")), person("Roger", "French", email = "roger.french@case.edu", role = "aut", comment = c(ORCID = "0000-0002-6162-0532")), person(given = "Solar Durability and Lifetime Extension research center", role = c("cph", "fnd")))
Description: The pipeline contained in this package provides tools used in the Solar Durability and Lifetime Extension Center (SDLE) for the analysis of Performance Loss Rates (PLR) in real world photovoltaic systems. Functions included allow for data cleaning, feature correction, power predictive modeling, PLR determination, and uncertainty bootstrapping through various methods <doi:10.1109/PVSC40753.2019.8980928>. The vignette "Pipeline Walkthrough" gives an explicit run through of typical package usage. This material is based upon work supported by the U.S Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE-0008172. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University.
Depends: R (>= 2.10)
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.7.8), magrittr (>= 1.5), broom (>= 0.5.1), ggplot2 (>= 3.1.0), stlplus (>= 0.5.1), cluster (>= 2.0.7-1), purrr (>= 0.3.3), tidyr (>= 1.1.1), minpack.lm (>= 1.2-1), rlang (>= 0.3.1), segmented
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-01 15:05:14 UTC; Alan
Author: Alan Curran [aut, cre] (<https://orcid.org/0000-0002-4505-8359>), Tyler Burleyson [aut] (<https://orcid.org/0000-0002-6356-5354>), Sascha Lindig [aut] (<https://orcid.org/0000-0001-5421-8265>), David Moser [aut] (<https://orcid.org/0000-0002-4895-8862>), Roger French [aut] (<https://orcid.org/0000-0002-6162-0532>), Solar Durability and Lifetime Extension research center [cph, fnd]
Maintainer: Alan Curran <alan.curran@case.edu>
Repository: CRAN
Date/Publication: 2020-10-07 12:00:20 UTC

More information about PVplr at CRAN
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Package mlr3 updated to version 0.7.0 with previous version 0.6.0 dated 2020-09-13

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Giuseppe Casalicchio [ctb] (<https://orcid.org/0000-0001-5324-5966>), Stefan Coors [ctb] (<https://orcid.org/0000-0002-7465-2146>), Quay Au [ctb] (<https://orcid.org/0000-0002-5252-8902>), Martin Binder [aut], Marc Becker [ctb] (<https://orcid.org/0000-0002-8115-0400>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3 versions 0.6.0 dated 2020-09-13 and 0.7.0 dated 2020-10-07

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 mlr3-0.7.0/mlr3/R/LearnerRegrRpart.R                                |    2 
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 mlr3-0.7.0/mlr3/R/mlr_sugar.R                                       |    2 
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Package hagis updated to version 3.1.0 with previous version 3.0.1 dated 2019-11-18

Title: Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Description: Analysis of plant pathogen pathotype survey data. Functions provided calculate distribution of susceptibilities, distribution of complexities with statistics, pathotype frequency distribution, as well as diversity indices for pathotypes. This package is meant to be a direct replacement for Herrmann, Löwer, Schachtel's (1999) <doi:10.1046/j.1365-3059.1999.00325.x> Habgood-Gilmour Spreadsheet, 'HaGiS', previously used for pathotype analysis.
Author: Austin G. McCoy [aut, ccp] (<https://orcid.org/0000-0003-2483-4184>), Zachary Noel [aut, ccp] (<https://orcid.org/0000-0001-6375-8300>), Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Martin Chilvers [aut] (<https://orcid.org/0000-0001-8832-1666>), Zhian N. Kamvar [ctb, rev] (<https://orcid.org/0000-0003-1458-7108>), Michigan Soybean Promotion Committee [fnd], Project GREEEN [fnd], North Central Soybean Research Program [fnd], GRDC Project DAQ00186 [fnd]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package cmsaf updated to version 3.0.0 with previous version 2.0.1 dated 2019-08-26

Title: A Toolbox for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsaf' R-package includes a 'shiny' based interface for an easy application of the 'cmsafops' and 'cmsafvis' packages - the CM SAF R Toolbox. The Toolbox offers an easy way to prepare, manipulate, analyse and visualize CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package ps updated to version 1.4.0 with previous version 1.3.4 dated 2020-08-11

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gábor Csárdi [aut, cre], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between ps versions 1.3.4 dated 2020-08-11 and 1.4.0 dated 2020-10-07

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Package ocd updated to version 1.1 with previous version 1.0 dated 2020-03-18

Title: High-Dimensional Multiscale Online Changepoint Detection
Description: Implements the algorithm in Chen, Wang and Samworth (2020) <arxiv:2003.03668> for online detection of sudden mean changes in a sequence of high-dimensional observations. It also implements methods by Mei (2010) <doi:10.1093/biomet/asq010>, Xie and Siegmund (2013) <doi:10.1214/13-AOS1094> and Chan (2017) <doi:10.1214/17-AOS1546>.
Author: Yudong Chen, Tengyao Wang, Richard J. Samworth
Maintainer: Yudong Chen <yudong.chen@statslab.cam.ac.uk>

Diff between ocd versions 1.0 dated 2020-03-18 and 1.1 dated 2020-10-07

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Package cliapp updated to version 0.1.1 with previous version 0.1.0 dated 2018-12-16

Title: Create Rich Command Line Applications
Description: Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes.
Author: Gábor Csárdi
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between cliapp versions 0.1.0 dated 2018-12-16 and 0.1.1 dated 2020-10-07

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Package mlr3learners updated to version 0.4.1 with previous version 0.4.0 dated 2020-09-25

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' and 'mlr3proba' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Quay Au [aut] (<https://orcid.org/0000-0002-5252-8902>), Stefan Coors [aut] (<https://orcid.org/0000-0002-7465-2146>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3learners versions 0.4.0 dated 2020-09-25 and 0.4.1 dated 2020-10-07

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Permanent link

Package eixport (with last version 0.4.9) was removed from CRAN

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

2020-09-14 0.4.9
2020-06-25 0.4.7
2020-04-16 0.4.6
2020-03-18 0.4.5
2020-02-24 0.4.4
2019-11-22 0.4.0
2018-10-06 0.3.6
2018-03-01 0.3.0

Permanent link
Package BTLLasso updated to version 0.1-11 with previous version 0.1-10 dated 2019-03-25

Title: Modelling Heterogeneity in Paired Comparison Data
Description: Performs 'BTLLasso' as described by Schauberger and Tutz (2019) <doi:10.18637/jss.v088.i09> and Schauberger and Tutz (2017) <doi:10.1177/1471082X17693086>. BTLLasso is a method to include different types of variables in paired comparison models and, therefore, to allow for heterogeneity between subjects. Variables can be subject-specific, object-specific and subject-object-specific and can have an influence on the attractiveness/strength of the objects. Suitable L1 penalty terms are used to cluster certain effects and to reduce the complexity of the models.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between BTLLasso versions 0.1-10 dated 2019-03-25 and 0.1-11 dated 2020-10-07

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Package AFM updated to version 2.0 with previous version 1.2.6 dated 2019-06-08

Title: Atomic Force Microscope Image Analysis
Description: Provides Atomic Force Microscope images analysis such as Gaussian mixes identification, Power Spectral Density, roughness against lengthscale, experimental variogram and variogram models, fractal dimension and scale, 2D network analysis. The AFM images can be exported to STL format for 3D printing.
Author: Mathieu Beauvais [aut, cre], Irma Liascukiene [aut], Jessem Landoulsi [aut]
Maintainer: Mathieu Beauvais <beauvais.escp@gmail.com>

Diff between AFM versions 1.2.6 dated 2019-06-08 and 2.0 dated 2020-10-07

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 AFM-2.0/AFM/DESCRIPTION                                                               |   12 
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 AFM-2.0/AFM/NAMESPACE                                                                 |    4 
 AFM-2.0/AFM/NEWS                                                                      |   30 +
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 AFM-2.0/AFM/R/AFMImage.R                                                              |   16 
 AFM-2.0/AFM/R/AFMImageAnalyser.R                                                      |    9 
 AFM-2.0/AFM/R/AFMPSDAnalyser.R                                                        |   12 
 AFM-2.0/AFM/R/AFMReportMaker.R                                                        |    2 
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 AFM-2.0/AFM/R/pkgname.R                                                               |    2 
 AFM-2.0/AFM/inst/CITATION                                                             |   17 
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 AFM-2.0/AFM/inst/shiny/AFM-desktop/ui.R                                               |    8 
 AFM-2.0/AFM/man/AFM.Rd                                                                |    3 
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 AFM-2.0/AFM/man/AFMImage-class.Rd                                                     |   41 +
 AFM-2.0/AFM/man/AFMImage-extractAFMImage.Rd                                           |    6 
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 AFM-2.0/AFM/man/AFMImagePSDAnalysis-class.Rd                                          |    1 
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 AFM-2.0/AFM/man/PSD2DAgainstFrequency-methods.Rd                                      |    4 
 AFM-2.0/AFM/man/RoughnessByLengthScale-methods.Rd                                     |    3 
 AFM-2.0/AFM/man/analyse.Rd                                                            |    3 
 AFM-2.0/AFM/man/calculate3DModel-methods.Rd                                           |    5 
 AFM-2.0/AFM/man/calculateNetworks-methods.Rd                                          |    5 
 AFM-2.0/AFM/man/checkIsotropy.Rd                                                      |    2 
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 AFM-2.0/AFM/man/getPaddedAFMImage.Rd                                                  |    2 
 AFM-2.0/AFM/man/getRoughnessParameters-methods.Rd                                     |    3 
 AFM-2.0/AFM/man/identifyEdgesFromCircles.Rd                                           |    3 
 AFM-2.0/AFM/man/identifyMaxCircleRadius.Rd                                            |   11 
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 AFM-2.0/AFM/man/shiftFFT2D.Rd                                                         |    2 
 AFM-2.0/AFM/man/shiftedPSDuv.Rd                                                       |    2 
 AFM-2.0/AFM/man/totalRMSRoughness.Rd                                                  |    2 
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More information about AFM at CRAN
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Package network updated to version 1.16.1 with previous version 1.16.0 dated 2019-12-01

Title: Classes for Relational Data
Description: Tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.
Author: Carter T. Butts [aut, cre], David Hunter [ctb], Mark Handcock [ctb], Skye Bender-deMoll [ctb], Jeffrey Horner [ctb], Li Wang [ctb]
Maintainer: Carter T. Butts <buttsc@uci.edu>

Diff between network versions 1.16.0 dated 2019-12-01 and 1.16.1 dated 2020-10-07

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Package vein (with last version 0.9.0) was removed from CRAN

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

2020-09-30 0.9.0
2020-06-11 0.8.9
2020-03-17 0.8.8
2020-02-18 0.8.7
2020-01-17 0.8.5
2019-09-17 0.8.0
2019-07-25 0.7.12
2019-06-12 0.7.8
2019-03-26 0.7.0
2019-01-12 0.6.0
2018-10-03 0.5.2
2018-08-19 0.4.2
2018-06-11 0.3.35
2018-03-01 0.3.9
2018-01-24 0.2.3
2017-10-01 0.2.2-25
2017-08-03 0.2.2-3
2017-06-21 0.2.1-8
2017-05-14 0.2.1-4

Permanent link
Package smerc updated to version 1.3 with previous version 1.2 dated 2020-05-26

Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between smerc versions 1.2 dated 2020-05-26 and 1.3 dated 2020-10-07

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 smerc-1.3/smerc/DESCRIPTION                                                              |   17 
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 smerc-1.3/smerc/NAMESPACE                                                                |  175 ++-
 smerc-1.3/smerc/NEWS                                                                     |    2 
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 smerc-1.3/smerc/R/csg2.R                                                                 |    4 
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 smerc-1.3/smerc/R/knn.R                                                                  |   90 +-
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 smerc-1.3/smerc/R/nndist.R                                                               |   70 -
 smerc-1.3/smerc/R/nndup.R                                                                |   48 -
 smerc-1.3/smerc/R/nydf.R                                                                 |    2 
 smerc-1.3/smerc/R/preamble.R                                                             |    4 
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 smerc-1.3/smerc/R/sig_noc.R                                                              |    5 
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 smerc-1.3/smerc/man/mlink.zones.Rd                                                       |    2 
 smerc-1.3/smerc/man/mst.all.Rd                                                           |    4 
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 smerc-1.3/smerc/man/nydf.Rd                                                              |    2 
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Package plsmod updated to version 0.1.0 with previous version 0.0.1 dated 2020-04-14

Title: Model Wrappers for Projection Methods
Description: Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) <doi:10.1371/journal.pcbi.1005752>).
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between plsmod versions 0.0.1 dated 2020-04-14 and 0.1.0 dated 2020-10-07

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Package RxODE (with last version 0.9.2-0) was removed from CRAN

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

2020-03-13 0.9.2-0
2020-01-10 0.9.1-9
2019-11-12 0.9.1-8
2019-10-27 0.9.1-7
2019-08-29 0.9.1-4
2019-08-06 0.9.1-3
2019-08-01 0.9.1-2
2019-07-26 0.9.1-1
2019-07-12 0.9.1-0

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Package nlmixr (with last version 1.1.1-9) was removed from CRAN

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

2020-06-22 1.1.1-9

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Package hmgm updated to version 1.0.3 with previous version 1.0.2 dated 2019-12-16

Title: High-Dimensional Mixed Graphical Models Estimation
Description: Provides weighted lasso framework for high-dimensional mixed data graph estimation. In the graph estimation stage, the graph structure is estimated by maximizing the conditional likelihood of one variable given the rest. We focus on the conditional loglikelihood of each variable and fit separate regressions to estimate the parameters, much in the spirit of the neighborhood selection approach proposed by Meinshausen-Buhlmann for the Gaussian Graphical Model and by Ravikumar for the Ising Model. Currently, the discrete variables can only take two values. In the future, method for general discrete data and for visualizing the estimated graph will be added. For more details, see the linked paper.
Author: Mingyu Qi, Tianxi Li
Maintainer: Mingyu Qi <mq3sq@virginia.edu>

Diff between hmgm versions 1.0.2 dated 2019-12-16 and 1.0.3 dated 2020-10-07

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Package HDMT updated to version 1.0.2 with previous version 1.0.1 dated 2019-12-05

Title: A Multiple Testing Procedure for High-Dimensional Mediation Hypotheses
Description: A multiple-testing procedure for high-dimensional mediation hypotheses. Mediation analysis is of rising interest in epidemiology and clinical trials. Among existing methods for mediation analyses, the popular joint significance (JS) test yields an overly conservative type I error rate and therefore low power. In the R package 'HDMT' we implement a multiple-testing procedure that accurately controls the family-wise error rate (FWER) and the false discovery rate (FDR) when using JS for testing high-dimensional mediation hypotheses. The core of our procedure is based on estimating the proportions of three component null hypotheses and deriving the corresponding mixture distribution of null p-values. Results of the data examples include better-behaved quantile-quantile plots and improved detection of novel mediation relationships on the role of DNA methylation in genetic regulation of gene expression. With increasing interest in mediation by molecular intermediaries such as gene expression, the proposed method addresses an unmet methodological challenge.
Author: James Dai [aut, cre], Xiaoyu Wang [aut]
Maintainer: James Dai <jdai@fredhutch.org>

Diff between HDMT versions 1.0.1 dated 2019-12-05 and 1.0.2 dated 2020-10-07

 HDMT-1.0.1/HDMT/R/fdrest.R             |only
 HDMT-1.0.1/HDMT/R/fwerest.R            |only
 HDMT-1.0.1/HDMT/R/nullestimation.R     |only
 HDMT-1.0.1/HDMT/man/fdrest.Rd          |only
 HDMT-1.0.1/HDMT/man/fwerest.Rd         |only
 HDMT-1.0.1/HDMT/man/nullestimation.Rd  |only
 HDMT-1.0.2/HDMT/DESCRIPTION            |   12 -
 HDMT-1.0.2/HDMT/MD5                    |   40 +++---
 HDMT-1.0.2/HDMT/NAMESPACE              |    3 
 HDMT-1.0.2/HDMT/R/adjust_quantile.R    |  203 +++++++++++++++++----------------
 HDMT-1.0.2/HDMT/R/fdr_est.R            |only
 HDMT-1.0.2/HDMT/R/fwer_est.R           |only
 HDMT-1.0.2/HDMT/R/null_estimation.R    |only
 HDMT-1.0.2/HDMT/build/vignette.rds     |binary
 HDMT-1.0.2/HDMT/inst/doc/HDMT.R        |   38 ++----
 HDMT-1.0.2/HDMT/inst/doc/HDMT.Rnw      |   79 +++++-------
 HDMT-1.0.2/HDMT/inst/doc/HDMT.bib      |   40 +++---
 HDMT-1.0.2/HDMT/inst/doc/HDMT.pdf      |binary
 HDMT-1.0.2/HDMT/man/adjust_quantile.Rd |   39 +++---
 HDMT-1.0.2/HDMT/man/correct_qqplot.Rd  |   24 +--
 HDMT-1.0.2/HDMT/man/exercise_input.Rd  |   73 ++++++-----
 HDMT-1.0.2/HDMT/man/fdr_est.Rd         |only
 HDMT-1.0.2/HDMT/man/fwer_est.Rd        |only
 HDMT-1.0.2/HDMT/man/null_estimation.Rd |only
 HDMT-1.0.2/HDMT/man/snp_input.Rd       |   70 +++++------
 HDMT-1.0.2/HDMT/vignettes/HDMT.Rnw     |   79 +++++-------
 HDMT-1.0.2/HDMT/vignettes/HDMT.bib     |   40 +++---
 27 files changed, 365 insertions(+), 375 deletions(-)

More information about HDMT at CRAN
Permanent link

Package MODIStsp (with last version 2.0.3) was removed from CRAN

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

2020-09-20 2.0.3
2020-09-02 2.0.2
2020-05-10 1.4.0
2019-06-21 1.3.9
2019-03-08 1.3.8
2018-12-03 1.3.7
2018-07-14 1.3.6
2018-06-24 1.3.5
2018-06-10 1.3.4
2017-08-17 1.3.3.1
2017-08-12 1.3.3
2017-04-15 1.3.2

Permanent link

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