Tue, 21 May 2019

Package rscorecard updated to version 0.12.0 with previous version 0.11.1 dated 2018-11-05

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre] (<https://orcid.org/0000-0002-0337-7415>)
Maintainer: Benjamin Skinner <btskinner@virginia.edu>

Diff between rscorecard versions 0.11.1 dated 2018-11-05 and 0.12.0 dated 2019-05-21

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Package MCMCtreeR updated to version 1.1 with previous version 1.0 dated 2019-05-20

Title: Prepare MCMCtree Analyses and Plot Bayesian Divergence Time Analyses Estimates on Trees
Description: Provides functions to prepare time priors for 'MCMCtree' analyses in the 'PAML' software from Yang (2007)<doi:10.1093/molbev/msm088> and plot time-scaled phylogenies from any Bayesian divergence time analysis. Most time-calibrated node prior distributions require user-specified parameters. The package provides functions to refine these parameters, so that the resulting prior distributions accurately reflect confidence in known, usually fossil, time information. These functions also enable users to visualise distributions and write 'MCMCtree' ready input files. Additionally, the package supplies flexible functions to visualise age uncertainty on a plotted tree with using node bars, using branch widths proportional to the age uncertainty, or by plotting the full posterior distributions on nodes. Time-scaled phylogenetic plots can be visualised with absolute and geological timescales . All plotting functions are applicable with output from any Bayesian software, not just 'MCMCtree'.
Author: Mark Puttick [aut,cre], Pascal Title [ctb]
Maintainer: Mark Puttick <mark.puttick@bristol.ac.uk>

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Package bsts updated to version 0.9.0 with previous version 0.8.0 dated 2018-05-07

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

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Package epiGWAS updated to version 1.0.1 with previous version 1.0.0 dated 2018-12-16

Title: Robust Methods for Epistasis Detection
Description: Functions to perform robust epistasis detection in genome-wide association studies, as described in Slim et al. (2018) <doi:10.1101/442749>. The implemented methods identify pairwise interactions between a particular target variant and the rest of the genotype, using a propensity score approach. The propensity score models the linkage disequilibrium between the target and the rest of the genotype. All methods are penalized regression approaches, which differently incorporate the propensity score to only recover the synergistic effects between the target and the genotype.
Author: Lotfi Slim [aut, cre], Clément Chatelain [ctb], Chloé-Agathe Azencott [ctb], Jean-Philippe Vert [ctb]
Maintainer: Lotfi Slim <lotfi.slim@mines-paristech.fr>

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Package YRmisc updated to version 0.1.5 with previous version 0.1.4 dated 2019-04-11

Title: Y&R Miscellaneous R Functions
Description: Miscellaneous functions for data analysis, portfolio management, graphics, data manipulation, statistical investigation, including descriptive statistics, creating leading and lagging variables, portfolio return analysis, time series difference and percentage change calculation, stacking data for higher efficient analysis.
Author: Manuel Russon <RUSSONM@stjohns.edu>, Xuanhua (Peter) Yin <peteryin.sju@hotmail.com>
Maintainer: Xuanhua (Peter) Yin <peteryin.sju@hotmail.com>

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Package rfacebookstat updated to version 1.9.0 with previous version 1.8.3 dated 2018-08-14

Title: Load Data from Facebook API Marketing
Description: Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-apis/>.
Author: Alexey Seleznev <selesnow@gmail.com>
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package QCA updated to version 3.5 with previous version 3.4 dated 2019-01-18

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean algorithm that results in a minimal causal combination that explains a given phenomenon.
Author: Adrian Dusa [aut, cre, cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/gui/www/shared/jquery-AUTHORS.txt), Vasil Dinkov [ctb, cph] (jquery.smartmenus.js library), Dmitry Baranovskiy [ctb, cph] (raphael.js library), Emmanuel Quentin [ctb, cph] (raphael.inline_text_editing.js library), Jimmy Breck-McKye [ctb, cph] (raphael-paragraph.js library), Alrik Thiem [aut] (from version 1.0-0 up to version 1.1-3)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package autothresholdr updated to version 1.3.1 with previous version 1.3.0 dated 2018-11-05

Title: An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Description: Algorithms for automatically finding appropriate thresholds for numerical data, with special functions for thresholding images. Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users. See <http://imagej.net/Auto_Threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.
Author: Rory Nolan [aut, cre, trl] (<https://orcid.org/0000-0002-5239-4043>), Luis Alvarez [ctb] (<https://orcid.org/0000-0003-1316-1906>), Sergi Padilla-Parra [ctb, ths] (<https://orcid.org/0000-0002-8010-9481>), Gabriel Landini [ctb, cph] (<https://orcid.org/0000-0002-9689-0989>)
Maintainer: Rory Nolan <rorynoolan@gmail.com>

Diff between autothresholdr versions 1.3.0 dated 2018-11-05 and 1.3.1 dated 2019-05-21

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Permanent link

Package bipartite updated to version 2.13 with previous version 2.11 dated 2018-07-11

Title: Visualising Bipartite Networks and Calculating Some (Ecological) Indices
Description: Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
Author: Carsten F. Dormann, Jochen Fruend and Bernd Gruber, with additional code from Stephen Beckett, Mariano Devoto, Jose Iriondo, Tove Opsahl, Rouven Strauss and Diego Vazquez, also based on C-code developed by Nils Bluethgen, Aaron Clauset/Rouven Strauss and Miguel Rodriguez-Girones
Maintainer: Carsten F. Dormann <carsten.dormann@biom.uni-freiburg.de>

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New package biomartr with initial version 0.9.0
Package: biomartr
Title: Genomic Data Retrieval
Version: 0.9.0
Authors@R: person("Hajk-Georg", "Drost", role = c("aut", "cre"), email = "hgd23@cam.ac.uk", comment = c(ORCID = "http://orcid.org/0000-0002-1567-306X"))
Description: Perform large scale genomic data retrieval and functional annotation retrieval. This package aims to provide users with a standardized way to automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and metagenome retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL', 'ENSEMBLGENOMES', and 'UniProt' databases. Furthermore, an interface to the 'BioMart' database (Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve functional annotation for genomic loci. In addition, users can download entire databases such as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr', 'NCBI nt', 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. as well as 'ENSEMBL' and 'ENSEMBLGENOMES' with only one command.
VignetteBuilder: knitr
NeedsCompilation: yes
Depends: R (>= 3.1.1)
Imports: biomaRt, Biostrings, curl, tibble, jsonlite, data.table (>= 1.9.4), dplyr (>= 0.3.0), readr (>= 0.2.2), downloader (>= 0.3), RCurl (>= 1.95-4.5), XML (>= 3.98-1.1), httr (>= 0.6.1), stringr (>= 0.6.2), purrr, R.utils, philentropy, fs
Suggests: knitr (>= 1.6), rmarkdown (>= 0.3.3), devtools (>= 1.6.1), testthat, seqinr, magrittr
License: GPL-2
LazyData: true
URL: https://github.com/ropensci/biomartr
BugReports: https://github.com/ropensci/biomartr/issues
RoxygenNote: 6.1.1
Encoding: UTF-8
X-schema.org-keywords: BioMart, genomic-data-retrieval, annotation-retrieval, database-retrieval, NCBI, ENSEMBL, biological-data-retrieval
X-schema.org-applicationCategory: Data Access
X-schema.org-isPartof: "ropensci.org"
Packaged: 2019-05-21 16:38:57 UTC; h-gd
Author: Hajk-Georg Drost [aut, cre] (<https://orcid.org/0000-0002-1567-306X>)
Maintainer: Hajk-Georg Drost <hgd23@cam.ac.uk>
Repository: CRAN
Date/Publication: 2019-05-21 17:40:02 UTC

More information about biomartr at CRAN
Permanent link

Package redshiftTools updated to version 1.0.1 with previous version 1.0.0 dated 2019-05-16

Title: Amazon Redshift Tools
Description: Efficiently upload data into an Amazon Redshift database using the approach recommended by Amazon <https://aws.amazon.com/es/redshift/>.
Author: Pablo Seibelt [aut, cre]
Maintainer: Pablo Seibelt <pabloseibelt@sicarul.com>

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Permanent link

Package hansard updated to version 0.7.0 with previous version 0.6.3 dated 2019-01-10

Title: Provides Easy Downloading Capabilities for the UK Parliament API
Description: Provides functions to download data from the <http://www.data.parliament.uk/> APIs. Because of the structure of the API, there is a named function for each type of available data for ease of use, as well as some functions designed to retrieve specific pieces of commonly used data. Functions for each new API will be added as and when they become available.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

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Package xoi updated to version 0.68-3 with previous version 0.67-4 dated 2018-03-08

Title: Tools for Analyzing Crossover Interference
Description: Analysis of crossover interference in experimental crosses, particularly regarding the gamma model. See, for example, Broman and Weber (2000) <doi:10.1086/302923>.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>), Il-Youp Kwak [ctb] (<https://orcid.org/0000-0002-7117-7669>)
Maintainer: Karl W Broman <broman@wisc.edu>

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Package fhidata updated to version 2019.5.19 with previous version 2019.4.2 dated 2019-04-04

Title: Structural Data for Norway
Description: Provides structural data for Norway. Datasets relating to maps, population in municipalities, municipality/county matching, and how different municipalities have merged/redistricted over time from 2006 to 2019.
Author: Richard White [aut, cre]
Maintainer: Richard White <w@rwhite.no>

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Package suddengains updated to version 0.2.1 with previous version 0.2.0 dated 2019-05-11

Title: Identify Sudden Gains in Longitudinal Data
Description: Identify sudden gains based on the three criteria outlined by Tang and DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894> to a selection of repeated measures. Sudden losses, defined as the opposite of sudden gains can also be identified. Two different datasets can be created, one including all sudden gains/losses and one including one selected sudden gain/loss for each case. It can extract scores around sudden gains/losses. It can plot the average change around sudden gains/losses and trajectories of individual cases.
Author: Milan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>), Graham M Thew [ctb] (<https://orcid.org/0000-0003-2851-1315>), Richard Stott [ctb] (<https://orcid.org/0000-0003-2533-5504>), Anke Ehlers [ctb, ths] (<https://orcid.org/0000-0002-8742-0192>)
Maintainer: Milan Wiedemann <milan.wiedemann@gmail.com>

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Package scBio updated to version 0.1.5 with previous version 0.1.4 dated 2019-03-29

Title: Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data
Description: Cellular population mapping (CPM) a deconvolution algorithm in which single-cell genomics is required in only one or a few samples, where in other samples of the same tissue, only bulk genomics is measured and the underlying fine resolution cellular heterogeneity is inferred.
Author: Amit Frishberg [aut, cre], Naama Peshes-Yaloz [aut], Irit Gat-Viks [aut]
Maintainer: Amit Frishberg <amfrishberg@gmail.com>

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Package FSA updated to version 0.8.24 with previous version 0.8.23 dated 2019-05-02

Title: Simple Fisheries Stock Assessment Methods
Description: A variety of simple fish stock assessment methods. Detailed vignettes are available on the fishR website <http://derekogle.com/fishR/>.
Author: Derek Ogle [aut, cre] (<https://orcid.org/0000-0002-0370-9299>), Powell Wheeler [aut] (Added method='Burnham' to removal()), Alexis Dinno [aut] (Provided base functionality of dunnTest())
Maintainer: Derek Ogle <derek@derekogle.com>

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Package fpc updated to version 2.2-1 with previous version 2.1-11.2 dated 2019-04-22

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
Author: Christian Hennig <christian.hennig@unibo.it>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

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Package codebook updated to version 0.8.1 with previous version 0.8.0 dated 2019-02-21

Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description: Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package qle (with last version 0.18) was removed from CRAN

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

2018-10-08 0.18
2018-03-16 0.17
2018-03-16 0.17-1
2017-11-24 0.16-6
2017-11-16 0.16-5

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Package IPPP updated to version 1.1 with previous version 1.0 dated 2019-02-06

Title: Inhomogeneous Poisson Point Processes
Description: Generates random numbers corresponding to the events on a Poisson point process with changing event rates. This includes the possibility to incorporate additional information such as the number of events occurring or the location of an already known event. It can also generate the probability density functions of specific events in the cases where additional information is available. Based on Hohmann (2019) <arXiv:1901.10754>.
Author: Niklas Hohmann
Maintainer: Niklas Hohmann <Niklas.Hohmann@fau.de>

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Package drgee updated to version 1.1.8 with previous version 1.1.6 dated 2016-11-08

Title: Doubly Robust Generalized Estimating Equations
Description: Fit restricted mean models for the conditional association between an exposure and an outcome, given covariates. Three methods are implemented: O-estimation, where a nuisance model for the association between the covariates and the outcome is used; E-estimation where a nuisance model for the association between the covariates and the exposure is used, and doubly robust (DR) estimation where both nuisance models are used. In DR-estimation, the estimates will be consistent when at least one of the nuisance models is correctly specified, not necessarily both. For more information, see Zetterqvist and Sjölander (2015) <doi:10.1515/em-2014-0021>.
Author: Johan Zetterqvist <drjohanzetterqvist at gmail.com> , Arvid Sjölander <arvid.sjolander at ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <drjohanzetterqvist@gmail.com>

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Package STraTUS updated to version 1.1.1 with previous version 1.1 dated 2019-03-18

Title: Enumeration and Uniform Sampling of Transmission Trees for a Known Phylogeny
Description: For a single, known pathogen phylogeny, provides functions for enumeration of the set of compatible epidemic transmission trees, and for uniform sampling from that set. Optional arguments allow for incomplete sampling with a known number of missing individuals, multiple sampling, and known infection time limits. Always assumed are a complete transmission bottleneck and no superinfection or reinfection. See Hall and Colijn (2019) <doi:10.1093/molbev/msz058> for methodology.
Author: Matthew Hall [aut, cre], Caroline Colijn [ctb]
Maintainer: Matthew Hall <matthew.hall@bdi.ox.ac.uk>

Diff between STraTUS versions 1.1 dated 2019-03-18 and 1.1.1 dated 2019-05-21

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Package R6DS updated to version 1.2.0 with previous version 1.1.0 dated 2019-05-14

Title: R6 Reference Class Based Data Structures
Description: Provides reference classes implementing some useful data structures. The package implements these data structures by using the reference class R6. Therefore, the classes of the data structures are also reference classes which means that their instances are passed by reference. The implemented data structures include stack, queue, double-ended queue, doubly linked list, set, dictionary and binary search tree. See for example <https://en.wikipedia.org/wiki/Data_structure> for more information about the data structures.
Author: Yukai Yang [aut, cre] (<https://orcid.org/0000-0002-2623-8549>)
Maintainer: Yukai Yang <yukai.yang@statistik.uu.se>

Diff between R6DS versions 1.1.0 dated 2019-05-14 and 1.2.0 dated 2019-05-21

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Package jomo updated to version 2.6-8 with previous version 2.6-7 dated 2019-02-06

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi: 10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>

Diff between jomo versions 2.6-7 dated 2019-02-06 and 2.6-8 dated 2019-05-21

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New package planor with initial version 1.5-1
Package: planor
Type: Package
Title: Generation of Regular Factorial Designs
Version: 1.5-1
Date: 2019-05-19
Author: Hervé Monod [aut, cre], Annie Bouvier [aut], André Kobilinsky [aut], INRA [cph] (Institut National de la Recherche Agronomique, France)
Maintainer: Hervé Monod <herve.monod@inra.fr>
Authors@R: c(person("Hervé", "Monod", role = c("aut", "cre"), email = "herve.monod@inra.fr"), person("Annie", "Bouvier", role = "aut"), person("André", "Kobilinsky", role = "aut"), person("INRA", role = "cph", comment = "Institut National de la Recherche Agronomique, France"))
Description: Automatic generation of regular factorial designs, including fractional designs, orthogonal block designs, row-column designs and split-plots.
License: GPL (>= 2)
Imports: stats, conf.design, utils, bit64, Rcpp (>= 0.12.7)
LinkingTo: Rcpp, RcppArmadillo
Depends: methods
Collate: zzz.R generic.R designfactors.R keymatrix.R keyring.R listofkeyrings.R planor.R basep.R randomize.R designkey.R listofdesignkeys.R planordesign.R makedesignkey.R
Encoding: UTF-8
URL: http://genome.jouy.inra.fr/logiciels/planor
NeedsCompilation: yes
Packaged: 2019-05-19 21:36:21 UTC; hmonod
Repository: CRAN
Date/Publication: 2019-05-21 08:50:03 UTC

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Package AdaSampling updated to version 1.3 with previous version 1.1 dated 2018-06-27

Title: Adaptive Sampling for Positive Unlabeled and Label Noise Learning
Description: Implements the adaptive sampling procedure, a framework for both positive unlabeled learning and learning with class label noise. Yang, P., Ormerod, J., Liu, W., Ma, C., Zomaya, A., Yang, J. (2018) <doi:10.1109/TCYB.2018.2816984>.
Author: Pengyi Yang
Maintainer: Pengyi Yang <yangpy7@gmail.com>

Diff between AdaSampling versions 1.1 dated 2018-06-27 and 1.3 dated 2019-05-21

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New package SEMID with initial version 0.3.2
Package: SEMID
Type: Package
Title: Identifiability of Linear Structural Equation Models
Version: 0.3.2
Date: 2019-5-18
Authors@R: c(person("Rina", "Foygel Barber", role=c("aut"), email="rina@uchicago.edu"), person("Mathias", "Drton", role=c("aut"), email="md5@uw.edu"), person("Luca", "Weihs", role=c("cre","aut"), email="lucaw@uw.edu"))
Maintainer: Luca Weihs <lucaw@uw.edu>
Description: Provides routines to check identifiability or non-identifiability of linear structural equation models as described in Drton, Foygel, and Sullivant (2011) <DOI:10.1214/10-AOS859>, Foygel, Draisma, and Drton (2012) <DOI:10.1214/12-AOS1012>, and other works. The routines are based on the graphical representation of structural equation models by a path diagram/mixed graph.
License: GPL (>= 2)
URL: https://github.com/Lucaweihs/SEMID
BugReports: https://github.com/Lucaweihs/SEMID/issues
Imports: R.oo (>= 1.20.0), R.methodsS3, igraph (>= 1.0.1), R.utils (>= 2.3.0)
Suggests: testthat
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 6.1.1
Packaged: 2019-05-18 23:12:24 UTC; lucaweihs
Author: Rina Foygel Barber [aut], Mathias Drton [aut], Luca Weihs [cre, aut]
Date/Publication: 2019-05-21 07:30:11 UTC

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Package MKmisc updated to version 1.4 with previous version 1.3 dated 2019-04-14

Title: Miscellaneous Functions from M. Kohl
Description: Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals and tests, and generation of similarity matrices.
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between MKmisc versions 1.3 dated 2019-04-14 and 1.4 dated 2019-05-21

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New package collector with initial version 0.1.2
Package: collector
Title: Quantified Risk Assessment Data Collection
Version: 0.1.2
Authors@R: person("David", "Severski", email = "davidski@deadheaven.com", role = c("aut", "cre"), comment = c(ORCID ="0000-0001-7867-0459"))
Description: An open source process for collecting quantified data inputs from subject matter experts. Intended for feeding into an OpenFAIR analysis <https://www2.opengroup.org/ogsys/catalog/C13K> using a tool such as 'evaluator' <https://evaluator.tidyrisk.org>.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: EnvStats, dplyr, evaluator (>= 0.4.0), flextable, ggplot2, ggpubr, magrittr, purrr, quanteda, readr, rlang, rmarkdown, stringr, tibble, tidyr, officer, xaringan
Suggests: spelling, testthat, covr, knitr
SystemRequirements: pandoc
URL: https://collector.tidyrisk.org
BugReports: https://github.com/davidski/collector/issues
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-21 02:49:36 UTC; dseversk
Author: David Severski [aut, cre] (<https://orcid.org/0000-0001-7867-0459>)
Maintainer: David Severski <davidski@deadheaven.com>
Repository: CRAN
Date/Publication: 2019-05-21 07:30:03 UTC

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Package areal updated to version 0.1.5 with previous version 0.1.2 dated 2018-12-31

Title: Areal Weighted Interpolation
Description: A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple variables in a single function call. These tools provide a full-featured workflow for validation and estimation that fits into both modern data management (e.g. tidyverse) and spatial data (e.g. sf) frameworks.
Author: Christopher Prener [aut, cre] (<https://orcid.org/0000-0002-4310-9888>), Charlie Revord [aut]
Maintainer: Christopher Prener <chris.prener@slu.edu>

Diff between areal versions 0.1.2 dated 2018-12-31 and 0.1.5 dated 2019-05-21

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Package recorder updated to version 0.8.1 with previous version 0.8.0 dated 2019-05-20

Title: Toolkit to Validate New Data for a Predictive Model
Description: A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.
Author: Lars Kjeldgaard [aut, cre]
Maintainer: Lars Kjeldgaard <lars_kjeldgaard@hotmail.com>

Diff between recorder versions 0.8.0 dated 2019-05-20 and 0.8.1 dated 2019-05-21

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New package datarium with initial version 0.1.0
Package: datarium
Type: Package
Title: Data Bank for Statistical Analysis and Visualization
Version: 0.1.0
Date: 2019-05-19
Authors@R: c( person("Alboukadel", "Kassambara", role = c("aut", "cre"), email = "alboukadel.kassambara@gmail.com"))
Description: Contains data organized by topics: categorical data, regression model, means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1.0)
BugReports: https://github.com/kassambara/datarium/issues
RoxygenNote: 6.1.1
Suggests: knitr
NeedsCompilation: no
Packaged: 2019-05-19 14:35:12 UTC; kassambara
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-21 07:00:07 UTC

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Package survminer updated to version 0.4.4 with previous version 0.4.3 dated 2018-08-04

Title: Drawing Survival Curves using 'ggplot2'
Description: Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions.
Author: Alboukadel Kassambara [aut, cre], Marcin Kosinski [aut], Przemyslaw Biecek [ctb], Scheipl Fabian [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between survminer versions 0.4.3 dated 2018-08-04 and 0.4.4 dated 2019-05-21

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 NEWS.md                                                                    |   19 ++
 R/ggadjustedcurves.R                                                       |   26 +-
 R/ggforest.R                                                               |   31 ++-
 R/ggsurvplot_core.R                                                        |    7 
 R/ggsurvplot_df.R                                                          |   30 ---
 R/surv_summary.R                                                           |    6 
 R/utilities.R                                                              |    3 
 README.md                                                                  |    5 
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 man/ggcompetingrisks.Rd                                                    |    5 
 man/ggcoxfunctional.Rd                                                     |    4 
 man/ggcoxzph.Rd                                                            |    4 
 man/ggflexsurvplot.Rd                                                      |    3 
 man/ggforest.Rd                                                            |    5 
 man/ggsurvevents.Rd                                                        |    6 
 man/ggsurvplot.Rd                                                          |   15 -
 man/ggsurvplot_add_all.Rd                                                  |    4 
 man/ggsurvplot_combine.Rd                                                  |    9 
 man/ggsurvplot_df.Rd                                                       |   11 -
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 man/ggsurvtable.Rd                                                         |    8 
 man/ggsurvtheme.Rd                                                         |   10 -
 man/pairwise_survdiff.Rd                                                   |    3 
 man/surv_cutpoint.Rd                                                       |    4 
 man/surv_pvalue.Rd                                                         |    4 
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Package brunnermunzel updated to version 1.3.4 with previous version 1.3.3 dated 2019-04-10

Title: (Permuted) Brunner-Munzel Test
Description: Provides the functions for Brunner-Munzel test and permuted Brunner-Munzel test, which enable to use formula, matrix, and table as argument. These functions are based on Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U> and Neubert and Brunner (2007) <doi:10.1016/j.csda.2006.05.024>, and are written with FORTRAN.
Author: Toshiaki Ara [aut, cre]
Maintainer: Toshiaki Ara <toshiaki.ara@gmail.com>

Diff between brunnermunzel versions 1.3.3 dated 2019-04-10 and 1.3.4 dated 2019-05-21

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