Thu, 18 Jun 2020

Package xpectr updated to version 0.4.0 with previous version 0.3.0 dated 2020-03-31

Title: Generates Expectations for 'testthat' Unit Testing
Description: Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
Author: Ludvig Renbo Olsen [aut, cre], R. Mark Sharp [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between xpectr versions 0.3.0 dated 2020-03-31 and 0.4.0 dated 2020-06-18

 DESCRIPTION                                         |   14 +-
 MD5                                                 |  117 ++++++++++----------
 NAMESPACE                                           |    1 
 NEWS.md                                             |   20 +++
 R/addin_utils.R                                     |    5 
 R/assert_collection_addin.R                         |    4 
 R/create_expectations.R                             |   21 ++-
 R/do_if.R                                           |   32 ++---
 R/dput_addins.R                                     |    4 
 R/element_descriptors.R                             |   12 +-
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 R/gxs_selection.R                                   |   43 ++++---
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 README.md                                           |    3 
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 tests/testthat/test_strip.R                         |    3 
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Package textplot updated to version 0.1.3 with previous version 0.1.2 dated 2020-05-23

Title: Text Plots
Description: Visualise complex relations in texts. This is done by providing functionalities for displaying text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering. Feel free to join the effort of providing interesting text visualisations.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Sacha Epskamp [ctb, cph] (code in R/matrix_reduction.R adapted from the qgraph package version 1.4.0 which is GPL-2 licensed), Ingo Feinerer and Kurt Hornik [ctb, cph] (partial code in R/textplot_corlines.R adapted from the tm package version 0.4 which is GPL-2 licensed)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between textplot versions 0.1.2 dated 2020-05-23 and 0.1.3 dated 2020-06-18

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 NEWS.md                                 |    4 
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 21 files changed, 351 insertions(+), 294 deletions(-)

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Package PASSED updated to version 1.0-2 with previous version 1.0-1 dated 2020-05-13

Title: Calculate Power and Sample Size for Two Sample Mean Tests
Description: Power calculations are a critical component of any research study to determine the minimum sample size necessary to detect differences between multiple groups. Here we present an 'R' package, 'PASSED', that performs power and sample size calculations for the test of two-sample means or ratios with data following beta, gamma (Chang et al. (2011), <doi:10.1007/s00180-010-0209-1>), normal, Poisson (Gu et al. (2008), <doi:10.1002/bimj.200710403>), binomial, geometric, and negative binomial (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>) distributions.
Author: Jinpu Li [aut, cre], Ryan Knigge [aut], Emily Leary [aut]
Maintainer: Jinpu Li <lijinp@health.missouri.edu>

Diff between PASSED versions 1.0-1 dated 2020-05-13 and 1.0-2 dated 2020-06-18

 DESCRIPTION           |   10 +--
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 NAMESPACE             |    2 
 R/power_Binomial.R    |  104 ++++++++++++++++++++++----------
 R/power_Gamma.R       |    1 
 R/power_Normal.R      |  159 +++++++++++++++++++++++++++++++++-----------------
 R/power_Poisson.R     |    3 
 man/power_Binomial.Rd |    3 
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Package DHARMa updated to version 0.3.2.0 with previous version 0.3.1 dated 2020-05-12

Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
Description: The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB' and 'spaMM', generalized additive models ('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
Author: Florian Hartig [aut, cre] (<https://orcid.org/0000-0002-6255-9059>)
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

Diff between DHARMa versions 0.3.1 dated 2020-05-12 and 0.3.2.0 dated 2020-06-18

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 tests/testthat/testTests.R       |  135 +++++++------
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 20 files changed, 400 insertions(+), 548 deletions(-)

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Package rstatix updated to version 0.6.0 with previous version 0.5.0 dated 2020-04-28

Title: Pipe-Friendly Framework for Basic Statistical Tests
Description: Provides a simple and intuitive pipe-friendly framework, coherent with the 'tidyverse' design philosophy, for performing basic statistical tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. The output of each test is automatically transformed into a tidy data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate the analysis of factorial experiments, including purely 'within-Ss' designs (repeated measures), purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs. It's also possible to compute several effect size metrics, including "eta squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between categorical variables. The package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between rstatix versions 0.5.0 dated 2020-04-28 and 0.6.0 dated 2020-06-18

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 R/emmeans_test.R           |   16 ++++++++---
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Package tinytest updated to version 1.2.2 with previous version 1.2.1 dated 2020-05-18

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>

Diff between tinytest versions 1.2.1 dated 2020-05-18 and 1.2.2 dated 2020-06-18

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Package vimp updated to version 2.1.0 with previous version 2.0.2 dated 2020-04-27

Title: Perform Inference on Algorithm-Agnostic Variable Importance
Description: Calculate point estimates of and valid confidence intervals for nonparametric, algorithm-agnostic variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (Biometrics, 2020), Williamson et al. (arXiv, 2020+) <arXiv:2004.03683>, and Williamson and Feng (ICML, 2020) <arXiv:>.
Author: Brian D. Williamson [aut, cre] (<https://orcid.org/0000-0002-7024-548X>), Noah Simon [aut] (<https://orcid.org/0000-0002-8985-2474>), Marco Carone [aut] (<https://orcid.org/0000-0003-2106-0953>)
Maintainer: Brian D. Williamson <brianw26@uw.edu>

Diff between vimp versions 2.0.2 dated 2020-04-27 and 2.1.0 dated 2020-06-18

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Package tibbletime updated to version 0.1.5 with previous version 0.1.4 dated 2020-05-26

Title: Time Aware Tibbles
Description: Built on top of the 'tibble' package, 'tibbletime' is an extension that allows for the creation of time aware tibbles. Some immediate advantages of this include: the ability to perform time-based subsetting on tibbles, quickly summarising and aggregating results by time periods, and creating columns that can be used as 'dplyr' time-based groups.
Author: Davis Vaughan [aut, cre], Matt Dancho [aut]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between tibbletime versions 0.1.4 dated 2020-05-26 and 0.1.5 dated 2020-06-18

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New package sigmajs with initial version 0.1.5
Package: sigmajs
Title: Interface to 'Sigma.js' Graph Visualization Library
Date: 2020-06-17
Version: 0.1.5
Authors@R: person("John", "Coene", email = "jcoenep@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6637-4107"))
Description: Interface to 'sigma.js' graph visualization library including animations, plugins and shiny proxies.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0.9000
Depends: R (>= 2.10)
URL: http://sigmajs.john-coene.com/
BugReports: https://github.com/JohnCoene/sigmajs/issues
Imports: htmlwidgets, dplyr (>= 0.7.0), magrittr, shiny, jsonlite, igraph, htmltools, purrr, scales, crosstalk
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-06-17 15:16:46 UTC; jp
Author: John Coene [aut, cre, cph] (<https://orcid.org/0000-0002-6637-4107>)
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-18 18:10:02 UTC

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Package RNeXML updated to version 2.4.5 with previous version 2.4.4 dated 2020-05-10

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Hilmar Lapp [aut] (<https://orcid.org/0000-0001-9107-0714>), Kseniia Shumelchyk [aut], Rutger Vos [aut] (<https://orcid.org/0000-0001-9254-7318>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between RNeXML versions 2.4.4 dated 2020-05-10 and 2.4.5 dated 2020-06-18

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Package pedtools updated to version 0.9.4 with previous version 0.9.3 dated 2020-03-21

Title: Creating and Working with Pedigrees and Marker Data
Description: A lightweight, but comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. Pedigree plots are produced by wrapping the plotting functionality of the 'kinship2' package.
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between pedtools versions 0.9.3 dated 2020-03-21 and 0.9.4 dated 2020-06-18

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Package OpenImageR updated to version 1.1.7 with previous version 1.1.6 dated 2019-12-01

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
Author: Lampros Mouselimis [aut, cre], Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library), Mohammad Haghighat [cph] (Gabor Feature Extraction), Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and SLICO algorithms (for commercial use please contact the author))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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More information about OpenImageR at CRAN
Permanent link

Package nlist updated to version 0.1.1 with previous version 0.1.0 dated 2020-01-24

Title: Lists of Numeric Atomic Objects
Description: Create and manipulate numeric list (nlist) objects. An nlist is an S3 list of uniquely named numeric atomic (natomic) objects. An natomic object is an integer or double vector, matrix or array. An nlists object is a S3 class list of nlist objects with the same names, dimensionalities and typeofs. Numeric list objects are of interest because they are the raw data inputs for analytic engines such as 'JAGS', 'STAN' and 'TMB'. Numeric lists objects, which are useful for storing multiple realizations of of simulated data sets, can be converted to coda::mcmc and coda::mcmc.list objects.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package fuel updated to version 1.2.0 with previous version 1.1.0 dated 2020-06-16

Title: Framework for Unified Estimation in Lognormal Models
Description: Lognormal models have broad applications in various research areas such as economics, actuarial science, biology, environmental science and psychology. The estimation problem in lognormal models has been extensively studied. This R package 'fuel' implements thirty-nine existing and newly proposed estimators. See Zhang, F., and Gou, J. (2020), A unified framework for estimation in lognormal models, Technical report.
Author: Jiangtao Gou and Fengqing (Zoe) Zhang
Maintainer: Jiangtao Gou <gouRpackage@gmail.com>

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More information about fuel at CRAN
Permanent link

Package echarts4r updated to version 0.3.2 with previous version 0.2.3 dated 2019-07-18

Title: Create Interactive Graphs with 'Echarts JavaScript' Version 4
Description: Easily create interactive charts by leveraging the 'Echarts Javascript' library which includes 36 chart types, themes, 'Shiny' proxies and animations.
Author: John Coene [aut, cre, cph]
Maintainer: John Coene <jcoenep@gmail.com>

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More information about echarts4r at CRAN
Permanent link

New package yamlet with initial version 0.4.8
Package: yamlet
Type: Package
Title: Versatile Curation of Table Metadata
Version: 0.4.8
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>
Description: The 'yamlet' package implements a file-based mechanism for documenting datasets. It reads and writes YAML-formatted metadata and applies it as data item attributes. Data and metadata are stored independently but can be coordinated by using similar file paths with different extensions. The 'yamlet' dialect is valid 'YAML', but some conventions are chosen to improve readability. Defaults and conventions can be over-ridden by the user. See ?yamlet and ?decorate.data.frame. See ?read_yamlet ?write_yamlet, and ?io_csv.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: yaml, csv (>= 0.5.4), encode, units, spork, ggplot2, dplyr (>= 0.8.1), rlang, xtable
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Suggests: testthat (>= 2.1.0), magrittr, table1, knitr
NeedsCompilation: no
Packaged: 2020-06-18 16:09:59 UTC; tim.bergsma
Repository: CRAN
Date/Publication: 2020-06-18 18:00:03 UTC

More information about yamlet at CRAN
Permanent link

Package ToolsForCoDa updated to version 1.0.5 with previous version 1.0.2 dated 2017-11-13

Title: Multivariate Tools for Compositional Data Analysis
Description: Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>. A function for log-ratio principal component analysis with condition number computations has been added to the package.
Author: Jan Graffelman <jan.graffelman@upc.edu>
Maintainer: Jan Graffelman <jan.graffelman@upc.edu>

Diff between ToolsForCoDa versions 1.0.2 dated 2017-11-13 and 1.0.5 dated 2020-06-18

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Package spsurvey updated to version 4.1.3 with previous version 4.1.2 dated 2020-04-01

Title: Spatial Survey Design and Analysis
Description: These functions provide procedures for selecting sites for spatial surveys using spatially balanced algorithms applied to discrete points, linear networks, or polygons. The probability survey designs available include independent random samples, stratified random samples, and unequal probability random samples (categorical or probability proportional to size). Design-based estimation based on the results from surveys is available for estimating totals, means, quantiles, CDFs, and linear models. The analyses rely on package survey for most results. Variance estimation options include a local neighborhood variance estimator that is appropriate for spatially-balanced survey designs. A reference for the survey design portion of the package is: D. L. Stevens, Jr. and A. R. Olsen (2004), "Spatially-balanced sampling of natural resources.", Journal of the American Statistical Association 99(465): 262-278, <DOI:10.1198/016214504000000250>. Additional helpful references for this package are A. R. Olsen, T. M. Kincaid, and Q. Payton (2012) and T. M. Kincaid and A. R. Olsen (2012), both of which are chapters in the book "Design and Analysis of Long-Term Ecological Monitoring Studies" (R. A. Gitzen, J. J. Millspaugh, A. B. Cooper, and D. S. Licht (eds.), Cambridge University Press, New York, <Online ISBN:9781139022422>).
Author: Tom Kincaid [aut], Tony Olsen [aut], Marc Weber [aut, cre], Don Stevens [ctb], Christian Platt [ctb], Denis White [ctb], Richard Remington [ctb]
Maintainer: Marc Weber <Weber.Marc@epa.gov>

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Package SimInf updated to version 7.0.1 with previous version 7.0.0 dated 2020-05-23

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>.
Author: Stefan Widgren [aut, cre] (<https://orcid.org/0000-0001-5745-2284>), Robin Eriksson [aut] (<https://orcid.org/0000-0002-4291-712X>), Stefan Engblom [aut] (<https://orcid.org/0000-0002-3614-1732>), Pavol Bauer [aut] (<https://orcid.org/0000-0003-4328-7171>), Thomas Rosendal [ctb] (<https://orcid.org/0000-0002-6576-9668>), Attractive Chaos [cph] (Author of 'kvec.h'.)
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

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Package shinytest updated to version 1.4.0 with previous version 1.3.1 dated 2019-05-06

Title: Test Shiny Apps
Description: For automated testing of Shiny applications, using a headless browser, driven through 'WebDriver'.
Author: Winston Chang [aut, cre], Gábor Csárdi [aut], RStudio [cph, fnd], Mango Solutions [cph, ccp]
Maintainer: Winston Chang <winston@rstudio.com>

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New package regress with initial version 1.3-21
Package: regress
Version: 1.3-21
Date: 2020-06-17
Title: Gaussian Linear Models with Linear Covariance Structure
Authors@R: c(person("David", "Clifford", role="aut"), person("Peter", "McCullagh", role="aut"), person("HJ", "Auinger", role="ctb"), person("Karl W", "Broman", role=c("ctb","cre"), email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")))
Author: David Clifford [aut], Peter McCullagh [aut], HJ Auinger [ctb], Karl W Broman [ctb, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl W Broman <broman@wisc.edu>
Description: Functions to fit Gaussian linear model by maximising the residual log likelihood where the covariance structure can be written as a linear combination of known matrices. Can be used for multivariate models and random effects models. Easy straight forward manner to specify random effects models, including random interactions. Code now optimised to use Sherman Morrison Woodbury identities for matrix inversion in random effects models. We've added the ability to fit models using any kernel as well as a function to return the mean and covariance of random effects conditional on the data (best linear unbiased predictors, BLUPs). Clifford and McCullagh (2006) <https://www.r-project.org/doc/Rnews/Rnews_2006-2.pdf>.
License: GPL-2
URL: https://github.com/kbroman/regress
BugReports: https://github.com/kbroman/regress/issues
Suggests: nlme, MASS
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: no
Packaged: 2020-06-17 13:39:03 UTC; kbroman
Repository: CRAN
Date/Publication: 2020-06-18 17:50:02 UTC

More information about regress at CRAN
Permanent link

Package openair updated to version 2.7-4 with previous version 2.7-2 dated 2020-04-02

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 2.7-2 dated 2020-04-02 and 2.7-4 dated 2020-06-18

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Package RecurRisk updated to version 1.0.1 with previous version 1.0 dated 2020-05-16

Title: Recurrence Risk Assessment Tool
Description: Functions to estimate the risk of recurrence using disease-specific survival data. Mariotto AB, Zou Z, Zhang F, et al (2018) <doi:10.1158/1055-9965.EPI-17-1129>.
Author: Fanni Zhang <fannizhang@gmail.com>
Maintainer: Fanni Zhang <fannizhang@gmail.com>

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New package rbi.helpers with initial version 0.3.2
Package: rbi.helpers
Version: 0.3.2
Title: 'RBi' Helper Functions
Author: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>
Depends: rbi (>= 0.10.0)
Imports: data.table, lubridate, reshape2, Matrix
Suggests: R.rsp, testthat, covr (>= 3.2.0), stringi
Description: Contains a collection of helper functions to use with 'RBi', the R interface to 'LibBi', described in Murray et al. (2015) <doi:10.18637/jss.v067.i10>. It contains functions to adapt the proposal distribution and number of particles in particle Markov-Chain Monte Carlo, as well as calculating the Deviance Information Criterion (DIC) and converting between times in 'LibBi' results and R time/dates.
License: GPL-3
URL: http://libbi.org, https://github.com/sbfnk/RBi, https://github.com/sbfnk/RBi.helpers
BugReports: https://github.com/sbfnk/RBi.helpers/issues
SystemRequirements: libbi (>= 1.4.2)
LazyLoad: no
RoxygenNote: 7.1.0
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2020-06-18 11:20:55 UTC; eidesfun
Repository: CRAN
Date/Publication: 2020-06-18 16:50:03 UTC

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Package BCRA updated to version 2.1.1 with previous version 2.1 dated 2018-10-30

Title: Breast Cancer Risk Assessment
Description: Functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals.
Author: Fanni Zhang <fannizhang@gmail.com>
Maintainer: Fanni Zhang <fannizhang@gmail.com>

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Package rstanemax updated to version 0.1.2 with previous version 0.1.1 dated 2019-11-19

Title: Emax Model Analysis with 'Stan'
Description: Perform sigmoidal Emax model fit using 'Stan' in a formula notation, without writing 'Stan' model code.
Author: Kenta Yoshida [aut, cre] (<https://orcid.org/0000-0003-4967-3831>), Trustees of Columbia University [cph] (src/init.cpp, tools/make_cc.R, R/stanmodels.R)
Maintainer: Kenta Yoshida <6.kurabupasu@gmail.com>

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Package odbc updated to version 1.2.3 with previous version 1.2.2 dated 2020-01-10

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], lexicalunit [cph] (nanodbc library), Google Inc. [cph] (cctz library), RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package rmarkdown updated to version 2.3 with previous version 2.2 dated 2020-05-31

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] (<https://orcid.org/0000-0003-3925-190X>), Andrew Dunning [ctb] (<https://orcid.org/0000-0003-0464-5036>), Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Barret Schloerke [ctb], Christophe Dervieux [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Jeff Allen [ctb], JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>), Malcolm Barrett [ctb], Rob Hyndman [ctb], Romain Lesur [ctb], Roy Storey [ctb], Ruben Arslan [ctb], Sergio Oller [ctb], RStudio, PBC [cph], jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/rmd/h/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/rmd/h/jqueryui-AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), Greg Franko [ctb, cph] (tocify library), John MacFarlane [ctb, cph] (Pandoc templates), Google, Inc. [ctb, cph] (ioslides library), Dave Raggett [ctb] (slidy library), W3C [cph] (slidy library), Dave Gandy [ctb, cph] (Font-Awesome), Ben Sperry [ctb] (Ionicons), Drifty [cph] (Ionicons), Aidan Lister [ctb, cph] (jQuery StickyTabs), Benct Philip Jonsson [ctb, cph] (pagebreak lua filter), Albert Krewinkel [ctb, cph] (pagebreak lua filter)
Maintainer: Yihui Xie <xie@yihui.name>

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Package wiesbaden updated to version 1.2.3 with previous version 1.2.2 dated 2020-02-15

Title: Access Databases from the Federal Statistical Office of Germany
Description: Retrieve and import data from different databases of the Federal Statistical Office of Germany (DESTATIS) using their SOAP XML web service <https://www-genesis.destatis.de/>.
Author: Moritz Marbach <moritz.marbach@gess.ethz.ch> [aut, cre]
Maintainer: Moritz Marbach <moritz.marbach@gess.ethz.ch>

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Package lmfor updated to version 1.5 with previous version 1.4 dated 2019-10-22

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

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Package nse2r updated to version 0.1.2 with previous version 0.1.1 dated 2020-01-08

Title: Fetch Data from 'National Stock Exchange (India)'
Description: Fetch data related to stocks, index, futures & options from the 'NSE (National Stock Exchange, India)'. This package is community maintained and is not officially supported by 'NSE'. The accuracy of data is only as correct as provided on <https://www.nseindia.com>.
Author: Lokesh Kumar [aut], Aravind Hebbali [aut, cre], Lionel Pinto [ctb]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package SeerMapper updated to version 1.2.3 with previous version 1.2.2 dated 2020-06-08

Title: A Quick Way to Map U.S. Rates and Data of U.S. States, Counties, Census Tracts, or Seer Registries using 2000 and 2010 U.S. Census Boundaries
Description: Provides an easy way to map seer registry area rate data on a U.S. map. The U.S. data may be mapped at the state or state/county. U.S. Seer registry data may be mapped at the Seer registry area, Seer Registry area/county or Seer Registry area/county/census tract level. The function uses a calculated default categorization breakpoint list for 5 categories, when not breakpoint list is provided or the number of categories is specified by the user. A user provided break point list is limited to containing 5 values. The number of calculated categories may be from 3 to 11. The user provide the p-value for each area and request hatching over any areas with a p-value > 0.05. Other types of comparisons can be specified. If states or state/counties are used, the area identifier is the U.S. FIPS codes for states and counties, 2 digits and 5 digits respectfully. If the data is for U.S. Seer Registry areas, the Seer Registry area identifier used to link the data to the geographical area is a Seer Registry area abbreviation. See documentation for the list of acceptable Seer Registry area names and abbreviations. The state boundaries are overlaid all rate maps. The package contains the boundary data for state, county, Seer Registry areas, and census tracts for counties within a Seer registry area. The package support boundary data from the 2000 and 2010 U.S. Census. The SeerMapper package version contains the U.S. Census 2000 and 2010 boundary data for the regional, state, Seer Registry, and county levels. Six supplement packages contain the census tract boundary data. Copyrighted 2014, 2015, 2016, 2017, 2018 and 2019 by Pearson and Pickle.
Author: Jim Pearson <jbpearson353@gmail.com>
Maintainer: Fanni Zhang <zhangf@imsweb.com>

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Package RMixtCompIO updated to version 4.0.5 with previous version 4.0.2 dated 2019-12-16

Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes models for real, categorical, counting, functional and ranking data. This package contains the minimal R interface of the C++ 'MixtComp' library.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Serge Iovleff [ctb], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Patrick Wieschollek [ctb] (for CppOptimizationLibrary), Tobias Wood [ctb] (for CppOptimizationLibrary)
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

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Package lidR updated to version 3.0.1 with previous version 3.0.0 dated 2020-06-08

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package tmod updated to version 0.44 with previous version 0.40 dated 2018-11-29

Title: Feature Set Enrichment Analysis for Metabolomics and Transcriptomics
Description: Methods and feature set definitions for feature or gene set enrichment analysis in transcriptional and metabolic profiling data. Package includes tests for enrichment based on ranked lists of features, functions for visualisation and multivariate functional analysis.
Author: January Weiner
Maintainer: January Weiner <january.weiner@gmail.com>

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Package texreg updated to version 1.37.5 with previous version 1.37.4 dated 2020-06-15

Title: Conversion of R Regression Output to LaTeX or HTML Tables
Description: Converts coefficients, standard errors, significance stars, and goodness-of-fit statistics of statistical models into LaTeX tables or HTML tables/MS Word documents or to nicely formatted screen output for the R console for easy model comparison. A list of several models can be combined in a single table. The output is highly customizable. New model types can be easily implemented. (If the Zelig package, which this package enhances, cannot be found on CRAN, you can find it at <https://github.com/IQSS/Zelig>.)
Author: Philip Leifeld [aut, cre], Claudia Zucca [ctb]
Maintainer: Philip Leifeld <philip.leifeld@essex.ac.uk>

Diff between texreg versions 1.37.4 dated 2020-06-15 and 1.37.5 dated 2020-06-18

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Package tealeaves updated to version 1.0.5 with previous version 1.0.3 dated 2020-06-13

Title: Solve for Leaf Temperature Using Energy Balance
Description: Implements models of leaf temperature using energy balance. It uses units to ensure that parameters are properly specified and transformed before calculations. It allows separate lower and upper surface conductances to heat and water vapour, so sensible and latent heat loss are calculated for each surface separately as in Foster and Smith (1986) <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf temperature over environmental gradients such as light, air temperature, humidity, and wind. It can also model leaf temperature over trait gradients such as leaf size or stomatal conductance. Other references are Monteith and Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.
Author: Chris Muir [aut, cre] (<https://orcid.org/0000-0003-2555-3878>)
Maintainer: Chris Muir <cdmuir@hawaii.edu>

Diff between tealeaves versions 1.0.3 dated 2020-06-13 and 1.0.5 dated 2020-06-18

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New package spinifex with initial version 0.2.0
Package: spinifex
Title: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Version: 0.2.0
Authors@R: c( person("Nicholas", "Spyrison", email = "spyrison@gmail.com", role = c("aut", "cre")), person("Dianne", "Cook", role = c("aut", "ths")) )
Description: Generates the path for manual tours ['Cook' & 'Buja' (1997) <doi:10.2307/1390747>]. Tours are generally available in the 'tourr' package ['Wickham' 'et' 'al.' (2011) <doi:10.18637/jss.v040.i02>]. The grand tour is an algorithm that shows all possible projections given sufficient time. Guided uses projection pursuit to steer the tour towards interesting projections. The 'spinifex' package implements manual control, where the contribution of a selected variable can be adjusted between -1 to 1, to examine the sensitivity of structure in the data to that variable. The result is an animation where the variable is toured into and out of the projection completely, which can be rendered using the 'gganimate' and 'plotly' packages.
Depends: R (>= 3.4.0)
License: CC BY-NC-SA 4.0
URL: https://github.com/nspyrison/spinifex/
BugReports: https://github.com/nspyrison/spinifex/issues
Imports: tourr, ggplot2, gganimate, plotly, shiny
Suggests: rmarkdown, knitr, testthat, covr, RColorBrewer, dplyr, GGally
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-18 02:58:11 UTC; Nicholas Spyrison
Author: Nicholas Spyrison [aut, cre], Dianne Cook [aut, ths]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-18 10:40:03 UTC

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Package SeerMapperWest updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-21

Title: Supplemental U.S. 2000 Census Tract Boundaries for 13 Western States without Seer Registries for 'SeerMapper'
Description: Provides supplemental 2000 census tract boundaries for the 13 states without Seer Registries that are west of the Mississippi river for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. 2000 Census data and is in the public domain. Updated to Alber Equal Area projection.
Author: Jim Pearson <jbpearson353@gmail.com> with data provided by U.S. Census Bureau
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between SeerMapperWest versions 1.2.2 dated 2020-05-21 and 1.2.3 dated 2020-06-18

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New package selac with initial version 1.7.5
Package: selac
Type: Package
Title: Selection Models for Amino Acid and/or Codon Evolution
Version: 1.7.5
Date: 2020-06-15
Authors@R: c(person("Jeremy", "Beaulieu", role=c("aut", "cre"), email = "jmbeauli@uark.edu"), person("JJ", "Chai", role=c("aut")), person("Mike", "Gilchrist", role=c("aut")), person("Cedric", "Landerer", role=c("aut")), person("Graham", "Derryberry", role=c("aut")), person("Brian", "O'Meara", role=c("aut")))
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>
Description: Sets up and executes a SelAC model (Selection on Amino acids and codons) for testing the presence of selection in amino acid or codon among a set of genes on a fixed phylogeny. Beaulieu et al (2019) <doi:10.1093/molbev/msy222>.
Suggests: testthat, igraph, phytools
Imports: ape, deSolve, nloptr, nnet, data.table, expm, MASS, Matrix, methods, parallel, phangorn, seqinr, statmod, zoo, RColorBrewer, GenSA
License: GPL
ByteCompile: TRUE
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-06-18 03:34:34 UTC; jmbeauli
Author: Jeremy Beaulieu [aut, cre], JJ Chai [aut], Mike Gilchrist [aut], Cedric Landerer [aut], Graham Derryberry [aut], Brian O'Meara [aut]
Repository: CRAN
Date/Publication: 2020-06-18 10:40:06 UTC

More information about selac at CRAN
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Package SeerMapperRegs updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-21

Title: Supplemental U.S. 2000 Census Tract Boundaries for 19 States with Seer Registries for 'SeerMapper'
Description: Provides supplemental 2000 census tract boundaries for the 19 states containing Seer Registries for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. Census data and is in the public domain.
Author: Jim Pearson <jbpearson353@gmail.com> with data provided by U.S. Census Bureau
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between SeerMapperRegs versions 1.2.2 dated 2020-05-21 and 1.2.3 dated 2020-06-18

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Package SeerMapperEast updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-21

Title: Supplemental U.S. 2000 Census Tract Boundaries for 20 Eastern States, District and Territory without Seer Registries for 'SeerMapper'
Description: Provides supplemental 2000 census tract boundaries for the 20 states, district and territory without Seer Registries that are east of the Mississippi river for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. Census data and is in the public domain.
Author: Jim Pearson <jbpearson353@gmail.com> with data provided by U.S. Census Bureau
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between SeerMapperEast versions 1.2.2 dated 2020-05-21 and 1.2.3 dated 2020-06-18

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Package SeerMapper2010West updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-21

Title: Supplemental U.S. 2010 Census Tract Boundaries for 13 Western States without Seer Registries for 'SeerMapper'
Description: Provides supplemental 2010 census tract boundaries for the 13 states without Seer Registries that are west of the Mississippi river for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. 2010 Census data and is in public domain.
Author: Jim Pearson <jbpearson353@gmail.com> with data provided by U.S. Census Bureau
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between SeerMapper2010West versions 1.2.2 dated 2020-05-21 and 1.2.3 dated 2020-06-18

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Package SeerMapper2010Regs updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-21

Title: Supplemental U.S. 2010 Census Tract Boundaries for 19 States with Seer Registries for 'SeerMapper'
Description: Provides supplemental 2010 census tract boundaries of the 19 states containing Seer Registries for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. 2010 Census data and is in public domain.
Author: Jim Pearson <jbpearson353@gmail.com> with data provided by U.S. Census Bureau
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between SeerMapper2010Regs versions 1.2.2 dated 2020-05-21 and 1.2.3 dated 2020-06-18

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Package SeerMapper2010East updated to version 1.2.3 with previous version 1.2.2 dated 2020-05-21

Title: Supplemental U.S. 2010 Census Tract Boundaries for 20 Eastern States (including DC and PR) without Registries for 'SeerMapper'
Description: Provides supplemental 2010 census tract boundary package for 20 states without Seer Registries that are east of the Mississippi river for use with the 'SeerMapper' package. The data contained in this package is derived from U.S. Census data and is in public domain.
Author: Jim Pearson <jbpearson353@gmail.com> with data provided by U.S. Census Bureau
Maintainer: Fanni Zhang <zhangf@imsweb.com>

Diff between SeerMapper2010East versions 1.2.2 dated 2020-05-21 and 1.2.3 dated 2020-06-18

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Package psychReport updated to version 1.1.0 with previous version 0.7 dated 2019-08-29

Title: Reproducible Reports in Psychology
Description: Helper functions for producing reports in Psychology (Reproducible Research). Provides required formatted strings (APA style) for use in 'Knitr'/'Latex' integration within *.Rnw files.
Author: Ian G Mackenzie
Maintainer: Ian G Mackenzie <ian.mackenzie@uni-tuebingen.de>

Diff between psychReport versions 0.7 dated 2019-08-29 and 1.1.0 dated 2020-06-18

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Package provSummarizeR updated to version 1.4 with previous version 1.3 dated 2019-12-06

Title: Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands
Description: Reads the provenance collected by the 'rdt' or 'rdtLite' packages, or other tools providing compatible PROV JSON output created by the execution of a script, and provides a human-readable summary identifying the input and output files, the script used (if any), errors and warnings produced, and the environment in which it was executed. It can also optionally package all the files into a zip file. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about 'rdtLite' and associated tools is available at <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
Author: Barbara Lerner [cre], Emery Boose [aut]
Maintainer: Barbara Lerner <blerner@mtholyoke.edu>

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Package mdw updated to version 2020.6-17 with previous version 2017.12-03 dated 2017-12-04

Title: Maximum Diversity Weighting
Description: Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <DOI:10.1002/sim.8212>.
Author: Zonglin He [aut], Youyi Fong [cre]
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package FrechForest updated to version 0.9 with previous version 0.8.1 dated 2019-12-04

Title: Frechet Random Forests
Description: Random forests are a statistical learning method widely used in many areas of scientific research essentially for its ability to learn complex relationships between input and output variables and also its capacity to handle high-dimensional data. However, current random forests approaches are not flexible enough to handle longitudinal data, shapes and images. In this package, we introduce Fréchet trees and Fréchet random forests, which allow to manage data for which input and output can either curves, scalars, factors, shapes or images. To this end, a new way of splitting the nodes of trees is introduced and the prediction procedures of trees and forests are generalized.
Author: Louis Capitaine [aut, cre]
Maintainer: Louis Capitaine <louis.capitaine@u-bordeaux.fr>

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Package foieGras updated to version 0.6-7 with previous version 0.4.0 dated 2019-10-07

Title: Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour
Description: Fits continuous-time random walk and correlated random walk state-space models for quality control animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Méthé M', 'Harcourt R', 'Hindell MA', 'Bestley S' (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Author: Ian Jonsen [aut, cre, cph], Toby Patterson [aut, ctb]
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>

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Package fixest updated to version 0.5.1 with previous version 0.5.0 dated 2020-06-10

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre]
Maintainer: Laurent Berge <laurent.berge@uni.lu>

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New package adjclust with initial version 0.5.99
Package: adjclust
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>
Authors@R: c(person("Christophe", "Ambroise", role="aut"), person("Shubham", "Chaturvedi", role="aut"), person("Alia", "Dehman", role="aut"), person("Pierre", "Neuvial", role=c("aut", "cre"), email="pierre.neuvial@math.univ-toulouse.fr"), person("Guillem", "Rigaill", role="aut"), person("Nathalie", "Vialaneix", role="aut"))
Date: 2020-06-08
Version: 0.5.99
License: GPL-3
Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <https://almob.biomedcentral.com/articles/10.1186/s13015-019-0157-4>.
Depends: R(>= 2.10.0)
Imports: stats, graphics, grDevices, Matrix, matrixStats, methods, utils, capushe
Suggests: knitr, testthat, rmarkdown, rioja, HiTC, snpStats, BiocGenerics
VignetteBuilder: knitr
URL: https://github.com/pneuvial/adjclust
BugReports: https://github.com/pneuvial/adjclust/issues
RoxygenNote: 7.1.0
LazyData: true
NeedsCompilation: yes
Packaged: 2020-06-17 13:54:00 UTC; nathalie
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Vialaneix [aut]
Repository: CRAN
Date/Publication: 2020-06-18 10:30:15 UTC

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Package cNORM updated to version 1.2.3 with previous version 1.2.2 dated 2019-09-19

Title: Continuous Norming
Description: Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016, <doi:10.1177/1073191116656437>; 2019, <doi:10.1371/journal.pone.0222279>) and generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample. An online demonstration is available via <https://cnorm.shinyapps.io/cNORM/>.
Author: Wolfgang Lenhard [cre, aut] (<https://orcid.org/0000-0002-8184-6889>), Alexandra Lenhard [aut], Sebastian Gary [aut]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package MPsychoR updated to version 0.10-8 with previous version 0.10-7 dated 2018-05-26

Title: Modern Psychometrics with R
Description: Supplementary materials and datasets for the book "Modern Psychometrics With R" (Mair, 2018, Springer useR! series).
Author: Patrick Mair [aut, cre]
Maintainer: Patrick Mair <mair@fas.harvard.edu>

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Package solitude (with last version 0.2.1) was removed from CRAN

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

2019-12-07 0.2.1
2019-08-24 0.2.0
2019-06-05 0.1.3
2018-11-14 0.1.0

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Package define (with last version 0.2.8) was removed from CRAN

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

2018-10-15 0.2.8
2018-03-13 0.2.7

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Package survParamSim updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-12

Title: Parametric Survival Simulation with Parameter Uncertainty
Description: Perform survival simulation with parametric survival model generated from 'survreg' function in 'survival' package. In each simulation coefficients are resampled from variance-covariance matrix of parameter estimates to capture uncertainty in model parameters. Prediction intervals of Kaplan-Meier estimates and hazard ratio of treatment effect can be further calculated using simulated survival data.
Author: Kenta Yoshida [aut, cre] (<https://orcid.org/0000-0003-4967-3831>), Laurent Claret [aut]
Maintainer: Kenta Yoshida <6.kurabupasu@gmail.com>

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Package robmixglm updated to version 1.1-0 with previous version 1.0-4 dated 2020-04-17

Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken.beath@mq.edu.au>

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Package kelvin updated to version 2.0-2 with previous version 2.0-0 dated 2015-09-19

Title: Calculate Solutions to the Kelvin Differential Equation using Bessel Functions
Description: Uses Bessel functions to calculate the fundamental and complementary analytic solutions to the Kelvin differential equation.
Author: Andrew J Barbour
Maintainer: Andrew J Barbour <andy.barbour@gmail.com>

Diff between kelvin versions 2.0-0 dated 2015-09-19 and 2.0-2 dated 2020-06-18

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Package btergm updated to version 1.9.9 with previous version 1.9.7 dated 2020-04-07

Title: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Description: Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.
Author: Philip Leifeld [aut, cre], Skyler J. Cranmer [ctb], Bruce A. Desmarais [ctb]
Maintainer: Philip Leifeld <philip.leifeld@essex.ac.uk>

Diff between btergm versions 1.9.7 dated 2020-04-07 and 1.9.9 dated 2020-06-18

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