Thu, 09 Sep 2021

Package schumaker updated to version 1.2.1 with previous version 1.2 dated 2019-11-13

Title: Schumaker Shape-Preserving Spline
Description: This is a shape preserving spline <doi:10.1137/0720057> which is guaranteed to be monotonic and concave or convex if the data is monotonic and concave or convex. It does not use any optimisation and is therefore quick and smoothly converges to a fixed point in economic dynamics problems including value function iteration. It also automatically gives the first two derivatives of the spline and options for determining behaviour when evaluated outside the interpolation domain.
Author: Stuart Baumann [aut, cre], Margaryta Klymak[aut]
Maintainer: Stuart Baumann <Stuart@StuartBaumann.com>

Diff between schumaker versions 1.2 dated 2019-11-13 and 1.2.1 dated 2021-09-09

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 inst/doc/schumaker.Rmd                      |    6 
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 man/Schumaker.Rd                            |    9 
 man/make_approx_functions_from_dataframe.Rd |    9 
 vignettes/schumaker.Rmd                     |    6 
 9 files changed, 302 insertions(+), 228 deletions(-)

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Package httpuv updated to version 1.6.3 with previous version 1.6.2 dated 2021-08-18

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph] (optional.hpp)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between httpuv versions 1.6.2 dated 2021-08-18 and 1.6.3 dated 2021-09-09

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 NEWS.md     |    5 +++++
 3 files changed, 11 insertions(+), 6 deletions(-)

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Package tidyestimate updated to version 1.1.0 with previous version 1.0.4 dated 2021-06-21

Title: A Tidy Implementation of 'ESTIMATE'
Description: The 'ESTIMATE' package infers tumor purity from expression data as a function of immune and stromal infiltrate, but requires writing of intermediate files, is un-pipeable, and performs poorly when presented with modern datasets with current gene symbols. 'tidyestimate' a fast, tidy, modern reimagination of 'ESTIMATE' (2013) <doi:10.1038/ncomms3612>.
Author: Kai Aragaki [aut, cre] (<https://orcid.org/0000-0002-9458-0426>), Paul Roebuck [cph] (Copyright holder of ESTIMATE package), Kosuke Yoshihara [aut] (Author of original ESTIMATE algorithm), Rahulsimham Vegesna [aut] (Author of original ESTIMATE algorithm), Hoon Kim [aut] (Author of original ESTIMATE algorithm), Roel Verhaak [aut] (Author of original ESTIMATE algorithm)
Maintainer: Kai Aragaki <aaragak1@jhmi.edu>

Diff between tidyestimate versions 1.0.4 dated 2021-06-21 and 1.1.0 dated 2021-09-09

 DESCRIPTION                      |    6 
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 vignettes/using-tidyestimate.Rmd |  180 +++++++-------
 23 files changed, 1358 insertions(+), 1337 deletions(-)

More information about tidyestimate at CRAN
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Package brnn updated to version 0.9 with previous version 0.8 dated 2020-01-08

Title: Bayesian Regularization for Feed-Forward Neural Networks
Description: Bayesian regularization for feed-forward neural networks.
Author: Paulino Perez Rodriguez, Daniel Gianola
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

Diff between brnn versions 0.8 dated 2020-01-08 and 0.9 dated 2021-09-09

 DESCRIPTION          |    8 ++++----
 MD5                  |   10 +++++-----
 R/brnn.R             |    6 +++---
 inst/history.txt     |    3 +++
 src/init.c           |    2 +-
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 6 files changed, 22 insertions(+), 19 deletions(-)

More information about brnn at CRAN
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Package r2rtf updated to version 0.3.1 with previous version 0.3.0 dated 2021-06-01

Title: Easily Create Production-Ready Rich Text Format (RTF) Table and Figure
Description: Create production-ready Rich Text Format (RTF) table and figure with flexible format.
Author: Yilong Zhang [aut, cre], Siruo Wang [aut], Simiao Ye [aut], Fansen Kong [aut], Nan Xiao [ctb], Madhusudhan Ginnaram [ctb], Ruchitbhai Patel [ctb], Huei-Ling Chen [ctb], Peikun Wu [ctb], Uday Preetham Palukuru [ctb], Daniel Woodie [ctb], Sarad Nepal [ctb], Jane Liao [ctb], Benjamin Wang [ctb], Jeff Cheng [ctb], Yirong Cao [ctb], Amin Shirazi [ctb], Merck Sharp & Dohme Corp [cph]
Maintainer: Yilong Zhang <yilong.zhang@merck.com>

Diff between r2rtf versions 0.3.0 dated 2021-06-01 and 0.3.1 dated 2021-09-09

 r2rtf-0.3.0/r2rtf/data/unicode_latex.rda                                          |only
 r2rtf-0.3.1/r2rtf/DESCRIPTION                                                     |    8 
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 r2rtf-0.3.1/r2rtf/NEWS.md                                                         |   13 
 r2rtf-0.3.1/r2rtf/R/as_rtf_pageby.R                                               |   40 
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 r2rtf-0.3.1/r2rtf/R/content_create.R                                              |    7 
 r2rtf-0.3.1/r2rtf/R/conversion.R                                                  |   14 
 r2rtf-0.3.1/r2rtf/R/dictionary.R                                                  |   54 
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 r2rtf-0.3.1/r2rtf/R/match_arg.R                                                   |    5 
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 r2rtf-0.3.1/r2rtf/R/rtf_encode.R                                                  |   29 
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 r2rtf-0.3.1/r2rtf/R/rtf_text.R                                                    |   11 
 r2rtf-0.3.1/r2rtf/R/rtf_title.R                                                   |   27 
 r2rtf-0.3.1/r2rtf/R/set_margin.R                                                  |    3 
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More information about r2rtf at CRAN
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Package lessR updated to version 4.0.3 with previous version 4.0.2 dated 2021-08-05

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation and rendering of R markdown instructions for interpretative output.
Author: David Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 4.0.2 dated 2021-08-05 and 4.0.3 dated 2021-09-09

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Package ggsignif updated to version 0.6.3 with previous version 0.6.2 dated 2021-06-14

Title: Significance Brackets for 'ggplot2'
Description: Enrich your 'ggplots' with group-wise comparisons. This package provides an easy way to indicate if two groups are significantly different. Commonly this is shown by a bracket on top connecting the groups of interest which itself is annotated with the level of significance (NS, *, **, ***). The package provides a single layer (geom_signif()) that takes the groups for comparison and the test (t.test(), wilcox.text() etc.) as arguments and adds the annotation to the plot.
Author: Constantin Ahlmann-Eltze [aut, cre, ctb] (<https://orcid.org/0000-0002-3762-068X>, @const_ae), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

Diff between ggsignif versions 0.6.2 dated 2021-06-14 and 0.6.3 dated 2021-09-09

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Package stringdist updated to version 0.9.8 with previous version 0.9.7 dated 2021-07-28

Title: Approximate String Matching, Fuzzy Text Search, and String Distance Functions
Description: Implements an approximate string matching version of R's native 'match' function. Also offers fuzzy text search based on various string distance measures. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well. Reference: MPJ van der Loo (2014) <doi:10.32614/RJ-2014-011>.
Author: Mark van der Loo [aut, cre] (<https://orcid.org/0000-0002-9807-4686>), Jan van der Laan [ctb], R Core Team [ctb], Nick Logan [ctb], Chris Muir [ctb], Johannes Gruber [ctb], Brian Ripley [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package RcppSMC updated to version 0.2.5 with previous version 0.2.4 dated 2021-09-02

Title: Rcpp Bindings for Sequential Monte Carlo
Description: R access to the Sequential Monte Carlo Template Classes by Johansen <doi:10.18637/jss.v030.i06> is provided. At present, four additional examples have been added, and the first example from the JSS paper has been extended. Further integration and extensions are planned.
Author: Dirk Eddelbuettel, Adam M. Johansen, Leah F. South and Ilya Zarubin
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSMC versions 0.2.4 dated 2021-09-02 and 0.2.5 dated 2021-09-09

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Package parallelly updated to version 1.28.1 with previous version 1.27.0 dated 2021-07-19

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.27.0 dated 2021-07-19 and 1.28.1 dated 2021-09-09

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Package mind updated to version 0.1.4 with previous version 0.1.3 dated 2021-09-07

Title: Multivariate Model Based Inference for Domains
Description: Allows users to produce estimates and MSE for multivariate variables using Linear Mixed Model. The package follows the approach of Datta, Day and Basawa (1999) <doi:10.1016/S0378-3758(98)00147-5>.
Author: Michele D'Alo' [aut], Stefano Falorsi [aut], Andrea Fasulo [aut, cre]
Maintainer: Andrea Fasulo <fasulo@istat.it>

Diff between mind versions 0.1.3 dated 2021-09-07 and 0.1.4 dated 2021-09-09

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Package lphom updated to version 0.3.0-7 with previous version 0.1.4 dated 2021-06-09

Title: Ecological Inference by Linear Programming under Homogeneity
Description: Provides a bunch of algorithms based on linear programming for estimating RxC ecological contingency tables (or vote transition matrices) using exclusively aggregate results from voting units under the homogeneity hypothesis. References: Romero, Pavia, Martin and Romero (2020) <doi:10.1080/02664763.2020.1804842>. Pavia and Romero (2021a) <doi:10.31124/advance.14716638.v1>. Pavia and Romero (2021b) Symmetry estimating R×C vote transfer matrices from aggregate data.
Author: Jose M. Pavía [aut, cre] (<https://orcid.org/0000-0002-0129-726X>), Rafael Romero [aut]
Maintainer: Jose M. Pavía <jose.m.pavia@uv.es>

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New package ISR with initial version 2021.09.09
Package: ISR
Title: The Iterated Score Regression-Based Estimation Algorithm
Date: 2021-09-09
Version: 2021.09.09
Description: Algorithms to handle with PCA-based missing data with high correlation. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-09 08:28:44 UTC; 123
Author: Guangbao Guo [aut, cre] (<https://orcid.org/0000-0002-4115-6218>), Haoyue Song [aut], Lixing Zhu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Suggests: testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
Imports: stats, MASS
Repository: CRAN
Date/Publication: 2021-09-09 14:00:07 UTC

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Package FlexScan updated to version 0.2.1 with previous version 0.2.0 dated 2020-04-07

Title: Flexible Scan Statistics
Description: An easy way to conduct flexible scan. Monte-Carlo method is used to test the spatial clusters given the cases, population, and shapefile. A table with formal style and a map with clusters are included in the result report. The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005) <doi:10.1186/1476-072X-4-11>.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du <dgdzc@hotmail.com>

Diff between FlexScan versions 0.2.0 dated 2020-04-07 and 0.2.1 dated 2021-09-09

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Package COINr updated to version 0.5.4 with previous version 0.5.3 dated 2021-09-06

Title: Composite Indicator Construction and Analysis
Description: A comprehensive high-level package for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principle component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "COIN". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results (maps, bar charts, radar charts, and more). Finally, three Shiny apps are available which enable fast data exploration, results presentation, and checking the effects of altering weights. Full documentation is found in the online book at <https://bluefoxr.github.io/COINrDoc/>, as well as the vignette.
Author: William Becker [aut, cre, cph] (<https://orcid.org/0000-0002-6467-4472>)
Maintainer: William Becker <william.becker@bluefoxdata.eu>

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Package gorica updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-13

Title: Evaluation of Inequality Constrained Hypotheses Using GORICA
Description: Implements the generalized order-restricted information criterion approximation (GORICA) by Kuiper, Hoijtink, & Silvapulle (2012) <doi:10.1016/j.jspi.2012.03.007>. The GORICA is an AIC-like information criterion that can be utilized to evaluate informative hypotheses specifying directional relationships between model parameters in terms of (in)equality constraints. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), and structural equation models (SEMs). In addition, the GORICA can be utilized in the context of contingency tables for which (in)equality constrained hypotheses do not necessarily contain linear restrictions on cell probabilities, but instead often contain non-linear restrictions on cell probabilities.
Author: Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Vanbrabant Leonard [ctb], Caspar J. van Lissa [aut, cre]
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>

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Package thurstonianIRT updated to version 0.12.0 with previous version 0.11.1 dated 2020-08-07

Title: Thurstonian IRT Models
Description: Fit Thurstonian Item Response Theory (IRT) models in R. This package supports fitting Thurstonian IRT models and its extensions using 'Stan', 'lavaan', or 'Mplus' for the model estimation. Functionality for extracting results, making predictions, and simulating data is provided as well. References: Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Bürkner et al. (2019) <doi:10.1177/0013164419832063>.
Author: Paul-Christian Bürkner [aut, cre], Angus Hughes [ctb], Trustees of Columbia University [cph]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

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Package posterior updated to version 1.1.0 with previous version 1.0.1 dated 2021-07-14

Title: Tools for Working with Posterior Distributions
Description: Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Author: Paul-Christian Bürkner [aut, cre], Jonah Gabry [aut], Matthew Kay [aut], Aki Vehtari [aut], Måns Magnusson [ctb], Rok Češnovar [ctb], Ben Lambert [ctb], Ozan Adıgüzel [ctb], Jacob Socolar [ctb]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

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 41 files changed, 2753 insertions(+), 2449 deletions(-)

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Package covsim updated to version 0.2.1 with previous version 0.2.0 dated 2021-06-09

Title: VITA, IG and PLSIM Simulation for Given Covariance and Marginals
Description: User specifies population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm. Groenneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator) and PLSIM (piecewise linear) algorithms. Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274>. Foldnes and Groenneberg (2021).
Author: Njaal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njaal Foldnes <njal.foldnes@gmail.com>

Diff between covsim versions 0.2.0 dated 2021-06-09 and 0.2.1 dated 2021-09-09

 DESCRIPTION |    9 +++++----
 MD5         |    6 +++++-
 build       |only
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 vignettes   |only
 5 files changed, 10 insertions(+), 5 deletions(-)

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New package u5mr with initial version 0.1.1
Package: u5mr
Title: Under-Five Child Mortality Estimation
Version: 0.1.1
Date: 2021-09-08
Maintainer: Myo Minn Oo <dr.myominnoo@gmail.com>
Description: Contains functions for calculating under-five child mortality estimates using the Trussell version of the Brass method (United Nations (1990) <https://www.un.org/en/development/desa/population/publications/pdf/mortality/stepguide_childmort.pdf> and United Nations (1983) <https://www.un.org/en/development/desa/population/publications/pdf/mortality/stepguide_childmort.pdf>) as well as applying the cohort-derived methods by Rajaratnam and colleagues (Rajaratnam JK, Tran LN, Lopez AD, Murray CJL (2010) "Measuring Under-Five Mortality: Validation of New Low-Cost Methods" <doi:10.1371/journal.pmed.1000253>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Depends: R(>= 4.0.0)
URL: https://github.com/myominnoo/u5mr
BugReports: https://github.com/myominnoo/u5mr/issues
Suggests: knitr, rmarkdown
Language: en-US
Imports: lifecycle
NeedsCompilation: no
Packaged: 2021-09-08 16:28:02 UTC; minnmy
Author: Myo Minn Oo [aut, cre] (<https://orcid.org/0000-0003-4089-016X>)
Repository: CRAN
Date/Publication: 2021-09-09 09:50:02 UTC

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New package statpsych with initial version 1.0.0
Package: statpsych
Title: Statistical Methods for Psychologists
Version: 1.0.0
Description: Implements confidence interval and sample size methods that are especially useful in psychological research. The methods can be applied in 1-group, 2-group, paired-samples, and multiple-group designs and to a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, plus several measures of correlation and association. The confidence intervals and sample size functions are applicable to single parameters as well as differences, ratios, and linear contrasts of parameters. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details, see: <https://csass.ucsc.edu/self-study%20courses/statistical_methods.html>.
BugReports: https://github.com/dgbonett/statpsych/issues
License: GPL-3
Encoding: UTF-8
Imports: utils, stats, mathjaxr, Rdpack
RdMacros: Rdpack, mathjaxr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-09-07 21:41:35 UTC; rcali
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>
Repository: CRAN
Date/Publication: 2021-09-09 09:20:02 UTC

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New package spflow with initial version 0.1.0
Package: spflow
Title: Spatial Econometric Interaction Models
Version: 0.1.0
Date: 2021-09-08
Description: Efficient estimation of spatial econometric models of origin-destination flows, which may exhibit spatial autocorrelation in the dependent variable, the explanatory variables or both. The model is the one proposed by LeSage and Pace (2008) <doi:10.1111/j.1467-9787.2008.00573.x>, who develop a matrix formulation that exploits the relational structure of flow data. The estimation procedures follow most closely those outlined by Dargel (2021) (preprint available at <https://www.tse-fr.eu/fr/publications/revisiting-estimation-methods-spatial-econometric-interaction-models>).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
Imports: coda, Matrix, methods, RSpectra, Rdpack, utils
URL: https://github.com/LukeCe/spflow
BugReports: https://github.com/LukeCe/spflow/issues
Suggests: covr, knitr, sf, sp, spdep, tinytest, rmarkdown
Language: en-US
Depends: R (>= 3.5.0)
VignetteBuilder: knitr
ByteCompile: true
NeedsCompilation: no
Packaged: 2021-09-08 14:18:48 UTC; lukece
Author: Lukas Dargel [aut, cre] (<https://orcid.org/0000-0002-4839-506X>), Thibault Laurent [aut] (<https://orcid.org/0000-0001-7487-7671>), Christine Thomas [ths, ctb], Paula Margaretic [ctb], Gabriel Watkinson [ctb], Roger Bivand [ctb]
Maintainer: Lukas Dargel <lukas.dargel@mailbox.org>
Repository: CRAN
Date/Publication: 2021-09-09 09:40:02 UTC

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New package populR with initial version 0.1.0
Package: populR
Title: Population Down-Scaling
Version: 0.1.0
Author: Marios Batsaris
Maintainer: Marios Batsaris <m.batsaris@aegean.gr>
Description: Population down-scaling from census blocks to building units using Areametric and Volumetric approaches. The aforementioned methods were adopted by Lwin K. K. and Murayama Y. work <doi:10.1111/j.1467-9671.2009.01171.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: sf, lwgeom
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-09-08 15:51:16 UTC; mbats
Repository: CRAN
Date/Publication: 2021-09-09 09:50:05 UTC

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New package matchr with initial version 0.1.0
Package: matchr
Title: Pattern Matching and Enumerated Types in R
Version: 0.1.0
Author: Christopher Mann <cmann3@unl.edu>
Maintainer: Christopher Mann <cmann3@unl.edu>
Description: Inspired by pattern matching and enum types in Rust and many functional programming languages, this package offers an updated version of the 'switch' function called 'Match' that accepts atomic values, functions, expressions, and enum variants. Conditions and return expressions are separated by '->' and multiple conditions can be associated with the same return expression using '|'. 'Match' also includes support for 'fallthrough'. The package also replicates the Result and Option enums from Rust.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0), rlang, utils
LazyData: true
NeedsCompilation: no
Packaged: 2021-09-07 14:25:34 UTC; chris
Repository: CRAN
Date/Publication: 2021-09-09 09:10:02 UTC

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New package ScoreEB with initial version 0.1.0
Package: ScoreEB
Title: Score Test Integrated with Empirical Bayes for Association Study
Version: 0.1.0
Author: Wenlong Ren
Maintainer: Wenlong Ren <wenlongren@ntu.edu.cn>
Description: Perform association test within linear mixed model framework using score test integrated with Empirical Bayes for genome-wide association study. Firstly, score test was conducted for each marker under linear mixed model framework, taking into account the genetic relatedness and population structure. And then all the potentially associated markers were selected with a less stringent criterion. Finally, all the selected markers were placed into a multi-locus model to identify the true quantitative trait nucleotide.
License: GPL-3
Imports: data.table
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Depends: R (>= 3.5.0)
Packaged: 2021-09-07 12:59:13 UTC; ThinkPad
Repository: CRAN
Date/Publication: 2021-09-09 09:00:14 UTC

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New package RDnp with initial version 1.3
Package: RDnp
Date: 2021-09-07
Title: Robust Test for Complete Independence in High-Dimensions
Version: 1.3
Author: Hasan BULUT [aut,cre]
Maintainer: Hasan BULUT <hasan.bulut@omu.edu.tr>
Description: Test Statistics for Independence in High-Dimensional Datasets. This package consists of two functions to perform the complete independence test based on test statistics proposed by Bulut (unpublished yet) and suggested by Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. The Bulut's statistic is not sensitive to outliers in high-dimensional data, unlike one of Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. So, the Bulut's statistic can be performed robustly by using RDnp function.
License: GPL-2
Depends: R (>= 4.0)
Imports: cellWise, MASS
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-07 21:46:55 UTC; user
Repository: CRAN
Date/Publication: 2021-09-09 09:00:16 UTC

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New package ppseq with initial version 0.1.1
Package: ppseq
Title: Design Clinical Trials using Sequential Predictive Probability Monitoring
Version: 0.1.1
Description: Functions are available to calibrate designs over a range of posterior and predictive thresholds, to plot the various design options, and to obtain the operating characteristics of optimal accuracy and optimal efficiency designs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Suggests: covr, gt, knitr, rmarkdown, spelling, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Imports: dplyr, furrr, future, ggplot2, plotly, purrr, tibble, patchwork, tidyr
Language: en-US
NeedsCompilation: no
Packaged: 2021-09-07 18:14:09 UTC; zabore2
Author: Emily C. Zabor [aut, cre] (<https://orcid.org/0000-0002-1402-4498>), Brian P. Hobbs [aut], Michael J. Kane [aut] (<https://orcid.org/0000-0003-1899-6662>)
Maintainer: Emily C. Zabor <zabore2@ccf.org>
Repository: CRAN
Date/Publication: 2021-09-09 09:00:02 UTC

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New package onpoint with initial version 1.0.1
Package: onpoint
Title: Helper Functions for Point Pattern Analysis
Version: 1.0.1
Maintainer: Maximillian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>
Description: Growing collection of helper functions for point pattern analysis. Most functions are designed to work with the 'spatstat' (<http://spatstat.org>) package. The focus of most functions are either null models or summary functions for spatial point patterns. For a detailed description of all null models and summary functions, see Wiegand and Moloney (2014, ISBN:9781420082548).
URL: https://r-spatialecology.github.io/onpoint/
BugReports: https://github.com/r-spatialecology/onpoint/issues
License: GPL (>= 3)
Depends: R (>= 3.1)
Imports: ggplot2, spatstat.core, spatstat.geom, stats
Suggests: covr, spatstat, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-07 13:21:53 UTC; mhesselbarth
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>)
Repository: CRAN
Date/Publication: 2021-09-09 09:00:05 UTC

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New package file2meco with initial version 0.1.0
Package: file2meco
Title: Transform Files to the 'microtable' Object with 'microeco' Package
Version: 0.1.0
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Depends: R (>= 3.5.0)
Imports: R6, microeco, ape, magrittr, dplyr, tidyr, yaml, rhdf5, Matrix
Suggests: Biostrings, seqinr, phyloseq
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-07 13:19:03 UTC; Chi
Repository: CRAN
Date/Publication: 2021-09-09 09:00:08 UTC

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New package CPNCoverageAnalysis with initial version 1.0.0
Package: CPNCoverageAnalysis
Title: Conceptual Properties Norming Studies as Parameter Estimation
Version: 1.0.0
Description: Implementation of conceptual properties norming studies, including estimates of CPNs parameters with their corresponding variances and estimates for the sampling process. See Canessa et al. (2021) <doi:10.3758/s13428-020-01439-8>. "How to Carry Out Conceptual Properties Norming Studies as Parameter Estimation Studies: Lessons from Ecology".
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-09-07 17:06:04 UTC; smorenoa
Author: Sebastian Moreno [aut, cre], Enrique Canessa [ths], Sergio Chaigneau [ths], Rodrigo Lagos [ths], Felipe Medina [ths]
Maintainer: Sebastian Moreno <sebastian.moreno.araya@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-09 09:00:19 UTC

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New package colorblindcheck with initial version 1.0.0
Package: colorblindcheck
Title: Check Color Palettes for Problems with Color Vision Deficiency
Version: 1.0.0
Description: Compare color palettes with simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia. It includes calculation of distances between colors, and creating summaries of differences between a color palette and simulations of color vision deficiencies. This work was inspired by the blog post at <http://www.vis4.net/blog/2018/02/automate-colorblind-checking/>.
Imports: colorspace, methods, spacesXYZ
Suggests: rcartocolor, testthat, knitr, rmarkdown, covr, vdiffr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
VignetteBuilder: knitr
URL: https://github.com/Nowosad/colorblindcheck
BugReports: https://github.com/Nowosad/colorblindcheck/issues
NeedsCompilation: no
Packaged: 2021-09-07 18:43:16 UTC; jn
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-09 09:00:11 UTC

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New package CMAPSS with initial version 0.1.1
Package: CMAPSS
Date: 2021-09-03
Title: Commercial Modular Aero-Propulsion System Simulation Data Set
Version: 0.1.1
Description: Contains the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) data set.
License: GPL-3
Imports: Rdpack
RdMacros: Rdpack
Depends: R (>= 4.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: yes
Packaged: 2021-09-07 03:27:11 UTC; Amini
Author: Morteza Amini [aut, cre, cph], Afarin Bayat [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>
Repository: CRAN
Date/Publication: 2021-09-09 08:50:02 UTC

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New package spacejamr with initial version 0.1
Package: spacejamr
Title: Simulate Spatial Bernoulli Networks
Version: 0.1
Maintainer: Darren Colby <dscolby17@gmail.com>
Description: Social network analysis is becoming commonplace in many social science disciplines, but access to useful network data, especially among marginalized populations, still remains a formidable challenge. This package mitigates that problem by providing tools to simulate spatial Bernoulli networks as proposed in Carter T. Butts (2002, ISBN:978-0-493-72676-2), "Spatial models of large-scale interpersonal networks. Using this package, network analysts can simulate a spatial point process or sequence with a given number of nodes inside a geographical boundary and estimate the probability of a tie formation between all node pairs. When simulating a network, an analyst can choose between five spatial interaction functions. The package also enables quick comparison of summary statistics for simulated networks and provides simple to use plotting methods for its classes that return plots which can be further refined with the 'ggplot2' package.
License: MIT + file LICENSE
URL: https://github.com/dscolby/spacejamr
BugReports: https://github.com/dscolby/spacejamr/issues
Encoding: UTF-8
LazyData: true
Imports: crsuggest, dplyr, ggraph, ggplot2, igraph, magrittr, sf, spatstat.core, spatstat.geom, ggthemes, methods
Depends: R (>= 3.5)
Suggests: covr, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-09-07 00:19:49 UTC; Darren Colby
Author: Darren Colby [aut, cre] (<https://orcid.org/0000-0001-8468-2755>)
Repository: CRAN
Date/Publication: 2021-09-09 07:10:02 UTC

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Package mcmcse updated to version 1.5-0 with previous version 1.4-1 dated 2020-01-29

Title: Monte Carlo Standard Errors for MCMC
Description: Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Author: James M. Flegal <jflegal@ucr.edu>, John Hughes, Dootika Vats <dootika@iitk.ac.in>, Ning Dai, Kushagra Gupta, and Uttiya Maji
Maintainer: Dootika Vats <dootika@iitk.ac.in>

Diff between mcmcse versions 1.4-1 dated 2020-01-29 and 1.5-0 dated 2021-09-09

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 53 files changed, 2488 insertions(+), 2300 deletions(-)

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New package morphemepiece with initial version 1.0.0
Package: morphemepiece
Title: Morpheme Tokenization
Version: 1.0.0
Description: Tokenize text into morphemes. The morphemepiece algorithm uses a lookup table to determine the morpheme breakdown of words, and falls back on a modified wordpiece tokenization algorithm for words not found in the lookup table.
URL: https://github.com/macmillancontentscience/morphemepiece
BugReports: https://github.com/macmillancontentscience/morphemepiece/issues
License: Apache License (>= 2)
Encoding: UTF-8
Imports: dlr (>= 1.0.0), magrittr, morphemepiece.data, piecemaker (>= 1.0.0), purrr (>= 0.3.4), rlang, stringr (>= 1.4.0)
Suggests: dplyr, fs, ggplot2, here, knitr, remotes, rmarkdown, testthat (>= 3.0.0), utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-06 19:40:48 UTC; jonathan.bratt
Author: Jonathan Bratt [aut, cre] (<https://orcid.org/0000-0003-2859-0076>), Jon Harmon [aut] (<https://orcid.org/0000-0003-4781-4346>), Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]
Maintainer: Jonathan Bratt <jonathan.bratt@macmillan.com>
Repository: CRAN
Date/Publication: 2021-09-09 07:10:06 UTC

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New package highriskzone with initial version 1.4.6
Package: highriskzone
Title: Determining and Evaluating High-Risk Zones
Version: 1.4.6
Date: 2021-09-08
Author: Heidi Seibold <Heidi.Seibold@uzh.ch>, Monia Mahling <monia.mahling@stat.uni-muenchen.de>, Sebastian Linne <Sebastian.Linne@campus.lmu.de>, Felix Guenther <felix.guenther@stat.uni-muenchen.de>
Maintainer: Rickmer Schulte <R.Schulte@campus.lmu.de>
Depends: fields, rgeos
Imports: spatstat (>= 1.54-0), methods, stats, utils, mvtnorm, ks, deldir, Matrix, maps, spatstat.geom, spatstat.core
Suggests: INLA
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Description: Functions for determining and evaluating high-risk zones and simulating and thinning point process data, as described in 'Determining high risk zones using point process methodology - Realization by building an R package' Seibold (2012) <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf> and 'Determining high-risk zones for unexploded World War II bombs by using point process methodology', Mahling et al. (2013) <doi:10.1111/j.1467-9876.2012.01055.x>.
Encoding: UTF-8
License: MIT + file LICENSE
Repository: CRAN
Repository/R-Forge/Project: highriskzone
Repository/R-Forge/Revision: 92
Repository/R-Forge/DateTimeStamp: 2018-07-11 12:15:12
Date/Publication: 2021-09-09 07:20:02 UTC
NeedsCompilation: no
Packaged: 2021-09-08 13:48:34 UTC; Rickmer

More information about highriskzone at CRAN
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Package DescTools updated to version 0.99.43 with previous version 0.99.42 dated 2021-06-17

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Chandima Arachchige [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico Caeiro [ctb], Stephane Champely [ctb], Daniel Chessel [ctb], Leanne Chhay [ctb], Nicholas Cooper [ctb], Clint Cummins [ctb], Michael Dewey [ctb], Harold C. Doran [ctb], Stephane Dray [ctb], Charles Dupont [ctb], Dirk Eddelbuettel [ctb], Claus Ekstrom [ctb], Martin Elff [ctb], Jeff Enos [ctb], Richard W. Farebrother [ctb], John Fox [ctb], Romain Francois [ctb], Michael Friendly [ctb], Tal Galili [ctb], Matthias Gamer [ctb], Joseph L. Gastwirth [ctb], Vilmantas Gegzna [ctb], Yulia R. Gel [ctb], Sereina Graber [ctb], Juergen Gross [ctb], Gabor Grothendieck [ctb], Frank E. Harrell Jr [ctb], Richard Heiberger [ctb], Michael Hoehle [ctb], Christian W. Hoffmann [ctb], Soeren Hojsgaard [ctb], Torsten Hothorn [ctb], Markus Huerzeler [ctb], Wallace W. Hui [ctb], Pete Hurd [ctb], Rob J. Hyndman [ctb], Christopher Jackson [ctb], Matthias Kohl [ctb], Mikko Korpela [ctb], Max Kuhn [ctb], Detlew Labes [ctb], Friederich Leisch [ctb], Jim Lemon [ctb], Dong Li [ctb], Martin Maechler [ctb], Arni Magnusson [ctb], Ben Mainwaring [ctb], Daniel Malter [ctb], George Marsaglia [ctb], John Marsaglia [ctb], Alina Matei [ctb], David Meyer [ctb], Weiwen Miao [ctb], Giovanni Millo [ctb], Yongyi Min [ctb], David Mitchell [ctb], Franziska Mueller [ctb], Markus Naepflin [ctb], Daniel Navarro [ctb], Henric Nilsson [ctb], Klaus Nordhausen [ctb], Derek Ogle [ctb], Hong Ooi [ctb], Nick Parsons [ctb], Sandrine Pavoine [ctb], Tony Plate [ctb], Luke Prendergast [ctb], Roland Rapold [ctb], William Revelle [ctb], Tyler Rinker [ctb], Brian D. Ripley [ctb], Caroline Rodriguez [ctb], Nathan Russell [ctb], Nick Sabbe [ctb], Ralph Scherer [ctb], Venkatraman E. Seshan [ctb], Michael Smithson [ctb], Greg Snow [ctb], Karline Soetaert [ctb], Werner A. Stahel [ctb], Alec Stephenson [ctb], Mark Stevenson [ctb], Ralf Stubner [ctb], Matthias Templ [ctb], Duncan Temple Lang [ctb], Terry Therneau [ctb], Yves Tille [ctb], Luis Torgo [ctb], Adrian Trapletti [ctb], Joshua Ulrich [ctb], Kevin Ushey [ctb], Jeremy VanDerWal [ctb], Bill Venables [ctb], John Verzani [ctb], Pablo J. Villacorta Iglesias [ctb], Gregory R. Warnes [ctb], Stefan Wellek [ctb], Hadley Wickham [ctb], Rand R. Wilcox [ctb], Peter Wolf [ctb], Daniel Wollschlaeger [ctb], Joseph Wood [ctb], Ying Wu [ctb], Thomas Yee [ctb], Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>

Diff between DescTools versions 0.99.42 dated 2021-06-17 and 0.99.43 dated 2021-09-09

 DESCRIPTION                |    8 +++---
 MD5                        |   55 ++++++++++++++++++++++-----------------------
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 build/vignette.rds         |binary
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 man/figures/bartext.png    |only
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 29 files changed, 210 insertions(+), 129 deletions(-)

More information about DescTools at CRAN
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Package bayesplay updated to version 0.9.2 with previous version 0.9.1 dated 2021-07-15

Title: The Bayes Factor Playground
Description: A lightweight modelling syntax for defining likelihoods and priors and for computing Bayes factors for simple one parameter models. It includes functionality for computing and plotting priors, likelihoods, and model predictions. Additional functionality is included for computing and plotting posteriors.
Author: Lincoln J Colling [aut, cre] (<https://orcid.org/0000-0002-3572-7758>)
Maintainer: Lincoln J Colling <lincoln@colling.net.nz>

Diff between bayesplay versions 0.9.1 dated 2021-07-15 and 0.9.2 dated 2021-09-09

 DESCRIPTION                                      |    6 ++--
 MD5                                              |   33 ++++++++++++++++++-----
 R/helper_functions.R                             |    8 ++---
 R/likelihoods.R                                  |    2 -
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 tests/testthat/test-plots.R                      |   31 ++++++++++++++++++++-
 9 files changed, 77 insertions(+), 21 deletions(-)

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Package getCRUCLdata (with last version 0.3.2) was removed from CRAN

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

2020-10-26 0.3.2
2019-08-29 0.3.1
2019-04-12 0.3.0
2018-09-12 0.2.5
2018-06-16 0.2.4
2018-05-17 0.2.3
2017-12-16 0.2.2
2017-12-15 0.2.1
2017-11-16 0.2.0
2017-10-26 0.1.10
2017-08-18 0.1.9
2017-07-08 0.1.8
2017-06-26 0.1.7
2017-06-13 0.1.6
2017-04-07 0.1.5
2017-02-03 0.1.4
2017-02-01 0.1.3
2017-01-18 0.1.2
2017-01-05 0.1.1

Permanent link
New package vdra with initial version 1.0.0
Title: Vertical Distributed Regression Analysis
Maintainer: Thomas Kent <kentedegrees@gmail.com>
Package: vdra
Version: 1.0.0
Author: Thomas Kent [aut, cre], Yuji Samizo [aut]
Description: Implements linear, logistic, and Cox regression on vertically partitioned data across several data partners. Data is not shared between data partners or the analysis center and the computations can be considered secure. Three different protocols are implemented. 2-Party: two data partners which communicate directly without an intermediate analysis center; 2T-Party: two data partners communicate indirectly via an analysis center, and KT-Party: two or more data partners plus an analysis center are all allowed to communicate directly. 2-Party and 2^T-Party use a form of secure multiplication as found in Karr, et. al. (2009) "Privacy-Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products" and Slavkovic et. al. (2007) "Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases" <doi:10.1109/ICDMW.2007.114>. Full details can be found in Samizo (In preparation).
BugReports: https://github.com/kentedegrees/vdra/issues
License: GPL-3
NeedsCompilation: yes
Packaged: 2021-09-06 17:13:18 UTC; USER
URL:
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: survival (>= 3.2-7), knitr (>= 1.28), rmarkdown (>= 2.2)
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2021-09-09 06:20:02 UTC

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Package SMLE updated to version 1.2.4 with previous version 1.2.3 dated 2021-09-03

Title: Joint Feature Screening via Sparse MLE
Description: Feature screening is a powerful tool in processing ultrahigh dimensional data. It attempts to screen out most irrelevant features in preparation for a more elaborate analysis. Xu and Chen (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening method SMLE, which naturally incorporates the joint effects among features in the screening process. This package provides an efficient implementation of SMLE-screening for high-dimensional linear, logistic, and Poisson models. The package also provides a function for conducting accurate post-screening feature selection based on an iterative hard-thresholding procedure and a user-specified selection criterion.
Author: Qianxiang Zang [aut, cre], Chen Xu [aut], Kelly Burkett [aut],
Maintainer: Qianxiang Zang <qzang023@uottawa.ca>

Diff between SMLE versions 1.2.3 dated 2021-09-03 and 1.2.4 dated 2021-09-09

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 SMLE-1.2.4/SMLE/R/Gen_Data.R          |   34 +++++++-------
 SMLE-1.2.4/SMLE/R/SMLE.R              |   70 ++++++++++++++---------------
 SMLE-1.2.4/SMLE/R/coef.R              |    6 +-
 SMLE-1.2.4/SMLE/R/logLik.R            |   11 ++--
 SMLE-1.2.4/SMLE/R/plot.selection.R    |   13 ++---
 SMLE-1.2.4/SMLE/R/plot.smle.R         |   15 +++---
 SMLE-1.2.4/SMLE/R/predict.R           |   47 ++++++++-----------
 SMLE-1.2.4/SMLE/R/print.R             |   12 ++---
 SMLE-1.2.4/SMLE/R/smle_select.R       |   81 +++++++++++++++++++---------------
 SMLE-1.2.4/SMLE/R/summary.R           |   13 ++---
 SMLE-1.2.4/SMLE/R/synSNP.R            |    8 ++-
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 SMLE-1.2.4/SMLE/man/coef.Rd           |    8 +--
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 SMLE-1.2.4/SMLE/man/print.Rd          |    8 ++-
 SMLE-1.2.4/SMLE/man/smle_select.Rd    |   62 +++++++++++++-------------
 SMLE-1.2.4/SMLE/man/summary.Rd        |   13 ++---
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More information about SMLE at CRAN
Permanent link

Package Morpho updated to version 2.9 with previous version 2.8 dated 2020-03-09

Title: Calculations and Visualisations Related to Geometric Morphometrics
Description: A toolset for Geometric Morphometrics and mesh processing. This includes (among other stuff) mesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement.
Author: Stefan Schlager [aut, cre, cph], Gregory Jefferis [ctb], Dryden Ian [cph]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Morpho versions 2.8 dated 2020-03-09 and 2.9 dated 2021-09-09

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 Morpho-2.9/Morpho/R/CVA.crova.r               |    8 
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 119 files changed, 1441 insertions(+), 536 deletions(-)

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Package geysertimes updated to version 0.1.9 with previous version 0.1.8 dated 2021-05-19

Title: Geyser Data from GeyserTimes.org
Description: Download geyser eruption and observation data from the GeyserTimes site (<https://geysertimes.org>) and optionally store it locally. The vignette shows a simple analysis of downloading, accessing, and summarizing the data.
Author: Stephen Kaluzny [aut, cre]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

Diff between geysertimes versions 0.1.8 dated 2021-05-19 and 0.1.9 dated 2021-09-09

 DESCRIPTION         |    6 +++---
 MD5                 |    8 ++++----
 R/gt_cleanup_data.R |    3 +++
 R/gt_get_data.R     |    2 +-
 build/vignette.rds  |binary
 5 files changed, 11 insertions(+), 8 deletions(-)

More information about geysertimes at CRAN
Permanent link

Package BWGS updated to version 0.2.0 with previous version 0.1.0 dated 2020-07-30

Title: BreedWheat Genomic Selection Pipeline
Description: Package for Breed Wheat Genomic Selection Pipeline. The R package 'BWGS' is developed by Gilles Charmet <gilles.charmet@inra.fr>. This repository is forked from original repository <https://forgemia.inra.fr/umr-gdec/bwgs> and modified as a R package.
Author: Gilles Charmet [aut], Louis Gautier Tran [aut], Bangyou Zheng [cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

Diff between BWGS versions 0.1.0 dated 2020-07-30 and 0.2.0 dated 2021-09-09

 DESCRIPTION          |   10 +++++-----
 MD5                  |   13 +++++++------
 R/bwgs_gilles.R      |   47 ++++++++++++++++++++++++++++++-----------------
 R/cross_validation.R |   27 ++++++++++++++++++++++++++-
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 README.md            |   17 +++++++++++++----
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 8 files changed, 92 insertions(+), 37 deletions(-)

More information about BWGS at CRAN
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Package factset.protobuf.stach (with last version 1.0.2) was removed from CRAN

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

2020-01-14 1.0.2

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Package hidetify (with last version 0.0.1) was removed from CRAN

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

2021-08-20 0.0.1

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Package rapsimng updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-30

Title: APSIM Next Generation
Description: The Agricultural Production Systems sIMulator ('APSIM') is a widely used to simulate the agricultural systems for multiple crops. This package is designed to create, modify and run 'apsimx' files in the 'APSIM' Next Generation <https://www.apsim.info/>.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

Diff between rapsimng versions 0.2.0 dated 2021-03-30 and 0.3.0 dated 2021-09-09

 DESCRIPTION                  |    6 
 MD5                          |   18 -
 R/cultivar.R                 |   31 +--
 R/modify.R                   |   21 +-
 R/simulations.R              |    7 
 README.md                    |    4 
 build/vignette.rds           |binary
 inst/doc/modify.html         |  403 ++++++++++---------------------------------
 inst/doc/sensitivity.html    |  279 +++--------------------------
 tests/testthat/test-modify.R |   35 +++
 10 files changed, 223 insertions(+), 581 deletions(-)

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New package penppml with initial version 0.1.0
Package: penppml
Title: Penalized Poisson Pseudo Maximum Likelihood Regression
Version: 0.1.0
Description: A set of tools that enables efficient estimation of penalized Poisson Pseudo Maximum Likelihood regressions, using lasso or ridge penalties, for models that feature one or more sets of high-dimensional fixed effects. The methodology is based on Breinlich, Corradi, Rocha, Ruta, Santos Silva, and Zylkin (2021) <http://hdl.handle.net/10986/35451> and takes advantage of the method of alternating projections of Gaure (2013) <doi:10.1016/j.csda.2013.03.024> for dealing with HDFE, as well as the coordinate descent algorithm of Friedman, Hastie and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for fitting lasso regressions. The package is also able to carry out cross-validation and to implement the plugin lasso of Belloni, Chernozhukov, Hansen and Kozbur (2016) <doi:10.1080/07350015.2015.1102733>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: gzip
LinkingTo: Rcpp, RcppEigen
Imports: Rcpp, glmnet, lfe, ncvreg, tidyr, rlang, magrittr
Depends: R (>= 2.10)
URL: https://github.com/tomzylkin/penppml
BugReports: https://github.com/tomzylkin/penppml/issues
Suggests: testthat (>= 3.0.0), MASS, knitr, rmarkdown, directlabels, ggplot2, reshape2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-09-06 13:50:39 UTC; diego
Author: Diego Ferreras Garrucho [aut], Tom Zylkin [aut], Nicolas Apfel [cre]
Maintainer: Nicolas Apfel <nicolas.apfel@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-09 05:30:02 UTC

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Package knitr updated to version 1.34 with previous version 1.33 dated 2021-04-24

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Bulat Yapparov [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hall [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Ellis Hughes [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Niels Richard Hansen [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Pavel N. Krivitsky [ctb] (<https://orcid.org/0000-0002-9101-3362>), Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between knitr versions 1.33 dated 2021-04-24 and 1.34 dated 2021-09-09

 DESCRIPTION                  |   21 ++++++------
 MD5                          |   71 +++++++++++++++++++++----------------------
 NAMESPACE                    |    1 
 R/block.R                    |   18 ++++++++--
 R/citation.R                 |    4 ++
 R/defaults.R                 |   21 +-----------
 R/engine.R                   |   19 +++++++++--
 R/highlight.R                |    6 +++
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 R/plot.R                     |    4 +-
 R/utils-conversion.R         |   15 ++++-----
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 R/utils.R                    |   42 ++++++-------------------
 build/vignette.rds           |binary
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 vignettes/knit_print.Rmd     |    2 -
 37 files changed, 200 insertions(+), 177 deletions(-)

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New package bittermelon with initial version 0.1.3
Package: bittermelon
Title: Monochrome Bitmap Font Tools
Version: 0.1.3
Description: Provides functions for creating and modifying bitmaps with special emphasis on bitmap fonts and their glyphs. Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'Python' is installed can also read/write several more bitmap font formats using an embedded version of 'monobit'.
URL: https://trevorldavis.com/R/bittermelon/
BugReports: https://github.com/trevorld/bittermelon/issues
License: MIT + file LICENSE
Imports: findpython, grDevices, grid, png, Unicode, utils
Suggests: crayon, ragg, testthat, vdiffr, withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-06 15:43:18 UTC; trevorld
Author: Trevor L Davis [aut, cre], Rob Hagemans [cph] (Author of included 'monobit' library), Frederic Cambus [cph] (Author of included 'Spleen' font)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-09 05:50:02 UTC

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Package ICvectorfields (with last version 0.0.2) was removed from CRAN

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

2021-06-21 0.0.2
2021-06-18 0.0.1

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Package VARDetect updated to version 0.1.4 with previous version 0.1.3 dated 2021-05-27

Title: Multiple Change Point Detection in Structural VAR Models
Description: Implementations of Thresholded Block Segmentation Scheme (TBSS) and Low-rank plus Sparse Two Step Procedure (LSTSP) algorithms for detecting multiple changes in structural VAR models. The package aims to address the problem of change point detection in piece-wise stationary VAR models, under different settings regarding the structure of their transition matrices (autoregressive dynamics); specifically, the following cases are included: (i) (weakly) sparse, (ii) structured sparse, and (iii) low rank plus sparse. It includes multiple algorithms and related extensions from Safikhani and Shojaie (2020) <doi:10.1080/01621459.2020.1770097> and Bai, Safikhani and Michailidis (2020) <doi:10.1109/TSP.2020.2993145>.
Author: Yue Bai [aut, cre], Peiliang Bai [aut], Abolfazl Safikhani [aut], George Michailidis [aut]
Maintainer: Yue Bai <baiyue@ufl.edu>

Diff between VARDetect versions 0.1.3 dated 2021-05-27 and 0.1.4 dated 2021-09-09

 VARDetect-0.1.3/VARDetect/build                                |only
 VARDetect-0.1.3/VARDetect/inst                                 |only
 VARDetect-0.1.3/VARDetect/vignettes                            |only
 VARDetect-0.1.4/VARDetect/DESCRIPTION                          |    7 
 VARDetect-0.1.4/VARDetect/MD5                                  |   89 
 VARDetect-0.1.4/VARDetect/R/Functions_BSS_SGL.R                | 6827 +++++-----
 VARDetect-0.1.4/VARDetect/R/Functions_LpS.R                    | 1832 +-
 VARDetect-0.1.4/VARDetect/man/BIC.Rd                           |    1 
 VARDetect-0.1.4/VARDetect/man/Q.func.Rd                        |    1 
 VARDetect-0.1.4/VARDetect/man/backward.selection.Rd            |    1 
 VARDetect-0.1.4/VARDetect/man/block.finder.Rd                  |    1 
 VARDetect-0.1.4/VARDetect/man/break.var.local.new.Rd           |    1 
 VARDetect-0.1.4/VARDetect/man/break.var.lps.Rd                 |    1 
 VARDetect-0.1.4/VARDetect/man/cv.detect.LpS.Rd                 |    1 
 VARDetect-0.1.4/VARDetect/man/cv.separate.Rd                   |    1 
 VARDetect-0.1.4/VARDetect/man/cv.tuning.selection.Rd           |    1 
 VARDetect-0.1.4/VARDetect/man/detect.LpS.Rd                    |    1 
 VARDetect-0.1.4/VARDetect/man/f.func.Rd                        |    1 
 VARDetect-0.1.4/VARDetect/man/first.step.blocks.Rd             |    1 
 VARDetect-0.1.4/VARDetect/man/first.step.blocks.group.Rd       |    1 
 VARDetect-0.1.4/VARDetect/man/first.step.detect.Rd             |    1 
 VARDetect-0.1.4/VARDetect/man/fista.LpS.Rd                     |    1 
 VARDetect-0.1.4/VARDetect/man/fista.nuclear.Rd                 |    1 
 VARDetect-0.1.4/VARDetect/man/gradf.func.Rd                    |    1 
 VARDetect-0.1.4/VARDetect/man/nuclear.pen.Rd                   |    1 
 VARDetect-0.1.4/VARDetect/man/obj.func.Rd                      |    1 
 VARDetect-0.1.4/VARDetect/man/plot.VARDetect.result.Rd         |    6 
 VARDetect-0.1.4/VARDetect/man/pred.Rd                          |    1 
 VARDetect-0.1.4/VARDetect/man/pred.block.Rd                    |    1 
 VARDetect-0.1.4/VARDetect/man/print.VARDetect.result.Rd        |    2 
 VARDetect-0.1.4/VARDetect/man/prox.nuclear.func.Rd             |    1 
 VARDetect-0.1.4/VARDetect/man/prox.nuclear.func.fLS.Rd         |    1 
 VARDetect-0.1.4/VARDetect/man/prox.sparse.func.Rd              |    1 
 VARDetect-0.1.4/VARDetect/man/remove.extra.pts.Rd              |    1 
 VARDetect-0.1.4/VARDetect/man/second.step.detect.Rd            |    1 
 VARDetect-0.1.4/VARDetect/man/second.step.local.Rd             |    1 
 VARDetect-0.1.4/VARDetect/man/shrinkage.Rd                     |    1 
 VARDetect-0.1.4/VARDetect/man/shrinkage.lr.Rd                  |    1 
 VARDetect-0.1.4/VARDetect/man/simu_lstsp.Rd                    |    4 
 VARDetect-0.1.4/VARDetect/man/simu_tbss.Rd                     |   10 
 VARDetect-0.1.4/VARDetect/man/simu_var.Rd                      |    8 
 VARDetect-0.1.4/VARDetect/man/sparse.pen.Rd                    |    1 
 VARDetect-0.1.4/VARDetect/man/summary.VARDetect.result.Rd      |    6 
 VARDetect-0.1.4/VARDetect/man/summary.VARDetect.simu.result.Rd |    2 
 VARDetect-0.1.4/VARDetect/man/tbss.Rd                          |    9 
 VARDetect-0.1.4/VARDetect/man/third.step.exhaustive.search.Rd  |    1 
 46 files changed, 4466 insertions(+), 4367 deletions(-)

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Package piggyback updated to version 0.1.1 with previous version 0.1.0 dated 2021-08-06

Title: Managing Larger Data on a GitHub Repository
Description: Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.
Author: Carl Boettiger [aut, cre, cph] (<https://orcid.org/0000-0002-1642-628X>), Mark Padgham [ctb] (<https://orcid.org/0000-0003-2172-5265>), Jeffrey O Hanson [ctb] (<https://orcid.org/0000-0002-4716-6134>), Kevin Kuo [ctb] (<https://orcid.org/0000-0001-7803-7901>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between piggyback versions 0.1.0 dated 2021-08-06 and 0.1.1 dated 2021-09-09

 DESCRIPTION                  |   11 +++++------
 MD5                          |   42 +++++++++++++++++++++---------------------
 NAMESPACE                    |    1 +
 NEWS.md                      |    6 ++++++
 R/gh.R                       |   20 ++------------------
 R/pb_download.R              |   20 +++++---------------
 R/pb_download_url.R          |    2 +-
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 R/pb_new_release.R           |    6 +++++-
 R/pb_upload.R                |   16 ++++++----------
 README.md                    |   41 ++++++++++-------------------------------
 inst/doc/alternatives.html   |    4 ++--
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 inst/examples/push-pull.R    |    1 -
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 man/pb_new_release.Rd        |    5 +----
 man/pb_upload.Rd             |   12 ++++--------
 tests/testthat/test-errors.R |    2 +-
 tests/testthat/test-gh.R     |    2 --
 22 files changed, 93 insertions(+), 155 deletions(-)

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Package Hotelling updated to version 1.0-8 with previous version 1.0-7 dated 2021-08-04

Title: Hotelling's T^2 Test and Variants
Description: A set of R functions which implements Hotelling's T^2 test and some variants of it. Functions are also included for Aitchison's additive log ratio and centred log ratio transformations.
Author: James Curran [aut, cre], Taylor Hersh [aut]
Maintainer: James Curran <j.curran@auckland.ac.nz>

Diff between Hotelling versions 1.0-7 dated 2021-08-04 and 1.0-8 dated 2021-09-09

 DESCRIPTION        |   12 ++++++------
 MD5                |    4 ++--
 R/hotelling.test.r |    4 ++--
 3 files changed, 10 insertions(+), 10 deletions(-)

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