Fri, 01 May 2020

Package utile.visuals updated to version 0.2.5 with previous version 0.2.3 dated 2019-12-01

Title: Create Visuals for Publication
Description: A small set of functions for making visuals for publication in ggplot2. Includes minimalist themes with transparent backgrounds and a suite of tools for building Kaplan-Meier curves with risk tables.
Author: Eric Finnesgard [aut, cre]
Maintainer: Eric Finnesgard <efinite@outlook.com>

Diff between utile.visuals versions 0.2.3 dated 2019-12-01 and 0.2.5 dated 2020-05-01

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Package utile.tables updated to version 0.2.0 with previous version 0.1.8 dated 2019-12-02

Title: Build Tables for Publication
Description: A collection of functions to make building customized ready-to-export tables for publication purposes easier and creating summaries of large datasets for review a breeze.
Author: Eric Finnesgard [aut, cre], Jennifer Grauberger [aut]
Maintainer: Eric Finnesgard <efinite@outlook.com>

Diff between utile.tables versions 0.1.8 dated 2019-12-02 and 0.2.0 dated 2020-05-01

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Package fairness updated to version 1.1.0 with previous version 1.0.1 dated 2019-09-27

Title: Algorithmic Fairness Metrics
Description: Offers various metrics of algorithmic fairness. Fairness in machine learning is an emerging topic with the overarching aim to critically assess algorithms (predictive and classification models) whether their results reinforce existing social biases. While unfair algorithms can propagate such biases and offer prediction or classification results with a disparate impact on various sensitive subgroups of populations (defined by sex, gender, ethnicity, religion, income, socioeconomic status, physical or mental disabilities), fair algorithms possess the underlying foundation that these groups should be treated similarly / should have similar outcomes. The fairness R package offers the calculation and comparisons of commonly and less commonly used fairness metrics in population subgroups. These methods are described by Calders and Verwer (2010) <doi:10.1007/s10618-010-0190-x>, Chouldechova (2017) <doi:10.1089/big.2016.0047>, Feldman et al. (2015) <doi:10.1145/2783258.2783311> , Friedler et al. (2018) <doi:10.1145/3287560.3287589> and Zafar et al. (2017) <doi:10.1145/3038912.3052660>. The package also offers convenient visualizations to help understand fairness metrics.
Author: Nikita Kozodoi [aut, cre], Tibor V. Varga [aut] (<https://orcid.org/0000-0002-2383-699X>)
Maintainer: Nikita Kozodoi <n.kozodoi@icloud.com>

Diff between fairness versions 1.0.1 dated 2019-09-27 and 1.1.0 dated 2020-05-01

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Package cfdecomp updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-18

Title: Counterfactual Decomposition: MC Integration of the G-Formula
Description: Provides a set of functions for counterfactual decomposition (cfdecomp). The functions available in this package decompose differences in an outcome attributable to a mediating variable (or sets of mediating variables) between groups based on counterfactual (causal inference) theory. By using Monte Carlo (MC) integration (simulations based on empirical estimates from multivariable models) we provide added flexibility compared to existing (analytical) approaches, at the cost of computational power or time. The added flexibility means that we can decompose difference between groups in any outcome or and with any mediator (any variable type and distribution). See Sudharsanan & Bijlsma (2019) <doi:10.4054/MPIDR-WP-2019-004> for more information.
Author: Maarten Jacob Bijlsma [aut, cre], Nikkil Sudharsanan [aut], Peng Li [ctb]
Maintainer: Maarten Jacob Bijlsma <maarten.bijlsma@gmail.com>

Diff between cfdecomp versions 0.1.0 dated 2020-03-18 and 0.2.0 dated 2020-05-01

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Package matsbyname updated to version 0.4.14 with previous version 0.4.13 dated 2020-04-18

Title: An Implementation of Matrix Mathematics
Description: An implementation of matrix mathematics wherein operations are performed "by name."
Author: Matthew Heun [aut, cre] (<https://orcid.org/0000-0002-7438-214X>)
Maintainer: Matthew Heun <matthew.heun@me.com>

Diff between matsbyname versions 0.4.13 dated 2020-04-18 and 0.4.14 dated 2020-05-01

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Package bold updated to version 1.0.0 with previous version 0.9.0 dated 2019-06-27

Title: Interface to Bold Systems API
Description: A programmatic interface to the Web Service methods provided by Bold Systems (<http://www.boldsystems.org/>) for genetic 'barcode' data. Functions include methods for searching by sequences by taxonomic names, ids, collectors, and institutions; as well as a function for searching for specimens, and downloading trace files.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between bold versions 0.9.0 dated 2019-06-27 and 1.0.0 dated 2020-05-01

 DESCRIPTION                                                   |   13 
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 R/bold_identify_parents.R                                     |   76 
 R/bold_seq.R                                                  |   11 
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Package IrregLong updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-24

Title: Analysis of Longitudinal Data with Irregular Observation Times
Description: Analysis of longitudinal data for which the times of observation are random variables that are potentially associated with the outcome process. The package includes inverse-intensity weighting methods (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>) and multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>).
Author: Eleanor Pullenayegum
Maintainer: Eleanor Pullenayegum <eleanor.pullenayegum@sickkids.ca>

Diff between IrregLong versions 0.2.0 dated 2020-01-24 and 0.3.0 dated 2020-05-01

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New package squashinformr with initial version 0.1.2
Package: squashinformr
Title: Politely Web Scrape Data from SquashInfo
Version: 0.1.2
Authors@R: c(person("Hayden", "MacDonald", role = c("aut", "cre"), email = "hayden.macdonald.8778@gmail.com"))
Author: Hayden MacDonald [aut, cre]
Maintainer: Hayden MacDonald <hayden.macdonald.8778@gmail.com>
Description: Scrape SquashInfo <http://www.squashinfo.com/> for data on the Professional Squash Association World Tour and other squash events. 'squashinformr' functions scrape, parse, and clean data associated with players, tournaments, and rankings.
Depends: R (>= 3.5.0)
Imports: dplyr (>= 0.8.5), plyr (>= 1.8.6), tibble (>= 2.1.3), lubridate (>= 1.7.4), stringr (>= 1.4.0), tidyr (>= 1.0.2), rvest (>= 0.3.3), xml2 (>= 1.2.5), polite (>= 0.1.1), naniar (>= 0.5.0), janitor (>= 1.2.0), Hmisc (>= 4.4-0), rlang (>= 0.4.5)
Suggests: testthat, covr, knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/HaydenMacDonald/squashinformr
BugReports: https://github.com/HaydenMacDonald/squashinformr/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-27 13:33:23 UTC; Hayden
Repository: CRAN
Date/Publication: 2020-05-01 18:30:02 UTC

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New package MLPA with initial version 1.10.0
Package: MLPA
Type: Package
Title: Multiplex Ligation-Dependent Probe Amplification Data Analysis
Version: 1.10.0
Date: 2020-04-27
Authors@R: c( person("Sylvain", "Mareschal", role=c("aut", "cre"), email="maressyl@gmail.com"), person("Philippe", "Ruminy", role=c("dtc", "ctb")), person(c("Jean","R."), "Lobry", role="ctb"), person("Fabrice", "Jardin", role="ths") )
URL: http://bioinformatics.ovsa.fr/MLPA
BugReports: https://github.com/maressyl/R.MLPA/issues
Description: Functions to import Applied Biosystems data files of multiplex ligation-dependent probe amplification (MLPA) analysis and process them. Gene-expression profiling methods are described in Mareschal, Ruminy et al (2015) <doi:10.1016/j.jmoldx.2015.01.007>. Gene-fusion detection methods are described in Mareschal, Palau et al (under review).
Depends: graphics, grDevices, stats, utils, R (>= 2.10)
Imports: methods
Suggests: Biostrings, parallel, tcltk, tools
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2020-04-27 11:30:54 UTC; sylvain
Author: Sylvain Mareschal [aut, cre], Philippe Ruminy [dtc, ctb], Jean R. Lobry [ctb], Fabrice Jardin [ths]
Maintainer: Sylvain Mareschal <maressyl@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-01 18:20:03 UTC

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New package GroupBN with initial version 0.1.0
Package: GroupBN
Type: Package
Date: 2020-04-07
Title: Learn Group Bayesian Networks using Hierarchical Clustering
Version: 0.1.0
Author: "Ann-Kristin Becker"
Maintainer: "Ann-Kristin Becker" <annkristinbecker@web.de>
Description: Learn group Bayesian Networks using hierarchical Clustering. This package implements the inference of group Bayesian networks based on hierarchical Clustering, and the adaptive refinement of the grouping regarding an outcome of interest.
Depends: R (>= 2.14.0), bnlearn, ClustOfVar, PCAmixdata, arules, zoo
Imports: PRROC, MLmetrics, rlist, stats, purrr, magrittr, visNetwork, plyr, stringr
Suggests:
License: GPL (>= 2)
URL: https://www.r-project.org
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-04-27 18:43:29 UTC; Arbeit
Repository: CRAN
Date/Publication: 2020-05-01 18:50:07 UTC

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Package dttr2 updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-04

Title: Manipulate Dates, DateTimes and Times
Description: Manipulates date ('Date'), datetime ('POSIXct') and time ('hms') vectors. Date/times are considered discrete and are floored whenever encountered. Times are wrapped and time zones are maintained unless explicitly altered by the user.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between dttr2 versions 0.1.0 dated 2020-03-04 and 0.2.0 dated 2020-05-01

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New package calcUnique with initial version 0.1.1
Package: calcUnique
Type: Package
Title: Simple Wrapper for Computationally Expensive Functions
Version: 0.1.1
Author: Stephen Froehlich
Maintainer: Stephen Froehlich <stephen.froehlich@gmail.com>
Description: This is a one-function package that will pass only unique values to a computationally-expensive function that returns an output of the same length as the input. In importing and working with tidy data, it is common to have index columns, often including time stamps that are far from unique. Some functions to work with these such as text conversion to other variable types (e.g. as.POSIXct()), various grep()-based functions, and often the cut() function are relatively slow when working with tens of millions of rows or more.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-04-27 19:01:43 UTC; sfroehlich
Repository: CRAN
Date/Publication: 2020-05-01 18:40:02 UTC

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New package bayescopulareg with initial version 0.1.0
Package: bayescopulareg
Type: Package
Title: Bayesian Copula Regression
Version: 0.1.0
Date: 2020-04-24
Author: Ethan Alt
Maintainer: Ethan Alt <ethanalt@live.unc.edu>
Description: Tools for Bayesian copula generalized linear models (GLMs). The sampling scheme is based on Pitt, Chan, and Kohn (2006) <doi:10.1093/biomet/93.3.537>. Regression parameters (including coefficients and dispersion parameters) are estimated via the adaptive random walk Metropolis approach developed by Haario, Saksman, and Tamminen (1999) <doi:10.1007/s001800050022>. The prior for the correlation matrix is based on Hoff (2007) <doi:10.1214/07-AOAS107>.
Depends: R (>= 3.6.0)
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), stats
LinkingTo: Rcpp, RcppArmadillo, RcppDist
RoxygenNote: 7.1.0
Encoding: UTF-8
URL: https://github.com/ethan-alt/bayescopulareg
BugReports: https://github.com/ethan-alt/bayescopulareg/issues
NeedsCompilation: yes
Packaged: 2020-04-27 14:05:51 UTC; ethanalt
Repository: CRAN
Date/Publication: 2020-05-01 18:30:06 UTC

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Package WVPlots updated to version 1.2.5 with previous version 1.2.4 dated 2020-02-19

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package RBaseX updated to version 0.3.0 with previous version 0.2.4 dated 2020-03-11

Title: 'BaseX' Client
Description: 'BaseX' <http://basex.org> is a XML database engine and a compliant 'XQuery 3.1' processor with full support of 'W3C Update Facility'. This package is a full client-implementation of the client/server protocol for 'BaseX' and provides functionalities to create, manipulate and query on XML-data.
Author: Ben Engbers [aut, cre]
Maintainer: Ben Engbers <Ben.Engbers@Be-Logical.nl>

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Package profile updated to version 1.0.1 with previous version 1.0 dated 2018-01-05

Title: Read, Manipulate, and Write Profiler Data
Description: Defines a data structure for profiler data, and methods to read and write from the 'Rprof' and 'pprof' file formats.
Author: Kirill Müller [aut, cre], R Consortium [fnd]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package hsstan updated to version 0.7 with previous version 0.6 dated 2019-09-22

Title: Hierarchical Shrinkage Stan Models for Biomarker Selection
Description: Linear and logistic regression models penalized with hierarchical shrinkage priors for selection of biomarkers (or more general variable selection), which can be fitted using Stan (Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>). It implements the horseshoe and regularized horseshoe priors (Piironen and Vehtari (2017) <doi:10.1214/17-EJS1337SI>), as well as the projection predictive selection approach to recover a sparse set of predictive biomarkers (Piironen, Paasiniemi and Vehtari (2018) <arXiv:1810.02406>).
Author: Marco Colombo [aut, cre] (<https://orcid.org/0000-0001-6672-0623>), Paul McKeigue [aut] (<https://orcid.org/0000-0002-5217-1034>), Athina Spiliopoulou [ctb] (<https://orcid.org/0000-0002-5929-6585>)
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

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Package gastempt updated to version 0.5.0 with previous version 0.4.4 dated 2019-03-06

Title: Analyzing Gastric Emptying from MRI or Scintigraphy
Description: Fits gastric emptying time series from MRI or scintigraphic measurements using nonlinear mixed-model population fits with 'nlme' and Bayesian methods with Stan; computes derived parameters such as t50 and AUC.
Author: Dieter Menne [aut, cre]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package helda updated to version 1.1.0 with previous version 1.0.1 dated 2020-03-14

Title: Preprocess Data and Get Better Insights from Machine Learning Models
Description: The main focus is on preprocessing and data visualization of machine learning models performances. Some functions allow to fill in gaps in time series using linear interpolation on panel data, some functions permit to draw lift effect and lift curve in order to benchmark machine learning models or you can even find the optimal number of clusters in agglomerative clustering algorithm.
Author: Simon Corde [aut, cre]
Maintainer: Simon Corde <simon.corde@hotmail.fr>

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Package simrel (with last version 2.0) was removed from CRAN

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

2019-04-01 2.0
2014-11-29 1.0-1

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Package SanzCircos (with last version 0.1.0) was removed from CRAN

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

2018-05-06 0.1.0

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Package INDperform (with last version 0.2.2) was removed from CRAN

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

2020-01-09 0.2.2
2019-07-13 0.2.1

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Package pancor (with last version 0.1.0) was removed from CRAN

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

2019-10-16 0.1.0

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Package recipes updated to version 0.1.12 with previous version 0.1.11 dated 2020-04-30

Title: Preprocessing Tools to Create Design Matrices
Description: An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package QTL.gCIMapping.GUI updated to version 2.1 with previous version 2.0 dated 2019-11-11

Title: QTL Genome-Wide Composite Interval Mapping with Graphical User Interface
Description: Conduct multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect linear mixed model. First, each position on the genome is detected in order to obtain a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve are viewed as potential QTL, all the effects of the potential QTL are included in a multi-QTL model, their effects are estimated by empirical Bayes in doubled haploid population or by adaptive lasso in F2 population, and true QTL are identified by likelihood radio test. See Wen et al. (2018) <doi:10.1093/bib/bby058>.
Author: Zhang Ya-Wen, Wen Yang-Jun, Wang Shi-Bo, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

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Package QTL.gCIMapping updated to version 3.3 with previous version 3.2 dated 2019-11-11

Title: QTL Genome-Wide Composite Interval Mapping
Description: Conduct multiple quantitative trait loci (QTL) mapping under the framework of random-QTL-effect linear mixed model. First, each position on the genome is detected in order to obtain a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve are viewed as potential QTL, all the effects of the potential QTL are included in a multi-QTL model, their effects are estimated by empirical Bayes in doubled haploid population or by adaptive lasso in F2 population, and true QTL are identified by likelihood radio test. See Wen et al. (2018) <doi:10.1093/bib/bby058>.
Author: Zhang Ya-Wen, Wen Yang-Jun, Wang Shi-Bo, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

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Package RSCABS updated to version 0.9.5 with previous version 0.9.4 dated 2020-01-13

Title: Rao-Scott Cochran-Armitage by Slices Trend Test
Description: Performs the Rao-Scott Cochran-Armitage by Slices trend test (RSCABS) used in analysis of histopathological endpoints, built to be used with either a GUI or by a command line. The RSCABS method is detailed in "Statistical analysis of histopathological endpoints" by John Green et. al. (2014) <doi:10.1002/etc.2530>.
Author: Joe Swintek [aut, cre], Kevin Flynn [ctb]
Maintainer: Joe Swintek <swintek.joe@epa.gov>

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Package rematch2 updated to version 2.1.2 with previous version 2.1.1 dated 2020-03-28

Title: Tidy Output from Regular Expression Matching
Description: Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy data frames.
Author: Gábor Csárdi [aut, cre], Matthew Lincoln [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package polyapost updated to version 1.6 with previous version 1.5 dated 2017-06-12

Title: Simulating from the Polya Posterior
Description: Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).
Author: Glen Meeden <glen@stat.umn.edu> and Radu Lazar <lazar@stat.umn.edu> and Charles J. Geyer <charlie@stat.umn.edu>
Maintainer: Glen Meeden <glen@stat.umn.edu>

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Package otpr updated to version 0.4.0 with previous version 0.3.0 dated 2020-01-31

Title: An R Wrapper for the 'OpenTripPlanner' REST API
Description: A wrapper for the 'OpenTripPlanner' <http://www.opentripplanner.org/> REST API. Queries are submitted to the relevant 'OpenTripPlanner' API resource, the response is parsed and useful R objects are returned.
Author: Marcus Young [aut, cre]
Maintainer: Marcus Young <M.A.Young@soton.ac.uk>

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Package mpt updated to version 0.6-2 with previous version 0.6-1 dated 2019-10-08

Title: Multinomial Processing Tree Models
Description: Fitting and testing multinomial processing tree (MPT) models, a class of nonlinear models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999 <doi:10.3758/bf03210812>; Erdfelder et al., 2009 <doi:10.1027/0044-3409.217.3.108>; Riefer & Batchelder, 1988 <doi:10.1037/0033-295x.95.3.318>).
Author: Florian Wickelmaier [aut, cre], Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

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Package matrixTests updated to version 0.1.9 with previous version 0.1.8 dated 2020-01-09

Title: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Description: Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Author: Karolis Koncevičius [aut, cre]
Maintainer: Karolis Koncevičius <karolis.koncevicius@gmail.com>

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Package GGIR updated to version 2.0-0 with previous version 1.11-0 dated 2019-12-04

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (2019) <doi: 10.1123/jmpb.2018-0063>, van Hees and colleagues (2014) <doi: 10.1152/japplphysiol.00421.2014>, and (2015) <doi: 10.1371/journal.pone.0142533>. The package has been developed and tested for binary data from 'GENEActiv' <https://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <http://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format and has either no header or a two column header. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Joan Capdevila Pujol [ctb], Jairo H Migueles [ctb], Matthew R Patterson [ctb], Dan Jackson [ctb]
Maintainer: Vincent T van Hees <vincentvanhees@gmail.com>

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Package GE updated to version 0.0.8 with previous version 0.0.7 dated 2020-04-23

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, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press).
Author: LI Wu <liwu@staff.shu.edu.cn>
Maintainer: LI Wu <liwu@staff.shu.edu.cn>

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Package erer updated to version 3.0 with previous version 2.5 dated 2016-02-25

Title: Empirical Research in Economics with R
Description: Functions, datasets, and sample codes related to the book of 'Empirical Research in Economics: Growing up with R' by Dr. Changyou Sun are included. Marginal effects for binary or ordered choice models can be calculated. Static and dynamic Almost Ideal Demand System (AIDS) models can be estimated. A typical event analysis in finance can be conducted with several functions included.
Author: Changyou Sun <cs258@msstate.edu>
Maintainer: Changyou Sun <cs258@msstate.edu>

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Package BoomSpikeSlab updated to version 1.2.3 with previous version 1.2.2 dated 2020-03-31

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian case.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

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Package astsa updated to version 1.10 with previous version 1.9 dated 2019-05-08

Title: Applied Statistical Time Series Analysis
Description: Data sets and scripts to accompany Time Series Analysis and Its Applications: With R Examples (4th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2017, <DOI:10.1007/978-3-319-52452-8>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <ISBN: 978-0367221096>.
Author: David Stoffer
Maintainer: David Stoffer <stoffer@pitt.edu>

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 R/acf1.R             |    6 +
 R/acf2.R             |    8 +-
 R/arma.spec.R        |    9 +-
 R/ccf2.R             |    3 
 R/lag1.plot.R        |    4 -
 R/lag2.plot.R        |    4 -
 R/mvspec.R           |   22 +++--
 R/tsplot.R           |   81 ++++++++++++++++++---
 data/polio.rda       |only
 man/Grid.Rd          |    2 
 man/Kfilter0.Rd      |   67 ------------------
 man/Kfilter1.Rd      |   80 ---------------------
 man/Kfilter2.Rd      |   68 ------------------
 man/Ksmooth0.Rd      |   40 ----------
 man/Ksmooth1.Rd      |   80 ---------------------
 man/Ksmooth2.Rd      |   72 -------------------
 man/LagReg.Rd        |  188 ---------------------------------------------------
 man/SVfilter.Rd      |   63 -----------------
 man/SigExtract.Rd    |  126 ----------------------------------
 man/UnempRate.Rd     |    1 
 man/WBC.Rd           |    4 -
 man/acf1.Rd          |    2 
 man/acf2.Rd          |    2 
 man/arma.spec.Rd     |    4 -
 man/astsa-package.Rd |    6 -
 man/ccf2.Rd          |   10 +-
 man/cpg.Rd           |    2 
 man/djia.Rd          |    4 -
 man/gtemp.Rd         |    2 
 man/gtemp_ocean.Rd   |    2 
 man/lag1.plot.Rd     |    7 +
 man/lag2.plot.Rd     |    9 +-
 man/mvspec.Rd        |    9 +-
 man/polio.Rd         |only
 man/sarima.Rd        |    2 
 man/stoch.reg.Rd     |  108 -----------------------------
 man/tsplot.Rd        |   36 +++++----
 man/unemp.Rd         |    1 
 man/varve.Rd         |   14 ---
 42 files changed, 214 insertions(+), 1028 deletions(-)

More information about astsa at CRAN
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Package apt updated to version 3.0 with previous version 2.5 dated 2016-02-25

Title: Asymmetric Price Transmission
Description: Asymmetric price transmission between two time series is assessed. Several functions are available for linear and nonlinear threshold cointegration, and furthermore, symmetric and asymmetric error correction model.
Author: Changyou Sun <cs258@msstate.edu>
Maintainer: Changyou Sun <cs258@msstate.edu>

Diff between apt versions 2.5 dated 2016-02-25 and 3.0 dated 2020-05-01

 apt-2.5/apt/R/guiApt.r                          |only
 apt-2.5/apt/R/guiCor.r                          |only
 apt-2.5/apt/build                               |only
 apt-2.5/apt/inst/doc/ERERchapter17smallSize.pdf |only
 apt-2.5/apt/inst/doc/apt.R                      |only
 apt-2.5/apt/inst/doc/apt.Rnw                    |only
 apt-2.5/apt/man/guiApt.Rd                       |only
 apt-2.5/apt/man/guiCor.Rd                       |only
 apt-2.5/apt/vignettes                           |only
 apt-3.0/apt/DESCRIPTION                         |   15 +++++++--------
 apt-3.0/apt/MD5                                 |   16 +++-------------
 apt-3.0/apt/NAMESPACE                           |    4 ++--
 apt-3.0/apt/man/apt-package.Rd                  |   13 +++++--------
 13 files changed, 17 insertions(+), 31 deletions(-)

More information about apt at CRAN
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Package crqanlp (with last version 0.3) was removed from CRAN

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

2018-03-21 0.3

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Package medflex (with last version 0.6-6) was removed from CRAN

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

2018-09-03 0.6-6
2017-09-15 0.6-4
2017-02-22 0.6-1
2015-09-13 0.6-0
2015-07-01 0.5-1
2015-02-07 0.5-0
2014-12-11 0.4.0

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Package dodgr (with last version 0.2.6) was removed from CRAN

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

2020-04-17 0.2.6
2019-10-10 0.2.5

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