Thu, 08 Oct 2020

Package workflows updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-15

Title: Modeling Workflows
Description: Managing both a 'parsnip' model and a preprocessor, such as a model formula or recipe from 'recipes', can often be challenging. The goal of 'workflows' is to streamline this process by bundling the model alongside the preprocessor, all within the same object.
Author: Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between workflows versions 0.2.0 dated 2020-09-15 and 0.2.1 dated 2020-10-08

 DESCRIPTION                                |    6 +-
 MD5                                        |   14 +++---
 NAMESPACE                                  |    1 
 NEWS.md                                    |    4 +
 R/fit.R                                    |   62 +++++++++++++++++++-------
 man/workflows-internals.Rd                 |   35 +++++++++++----
 tests/testthat/test-fit.R                  |   67 ++++++++++++++++++++++-------
 tests/testthat/test-pre-action-variables.R |   12 +++++
 8 files changed, 151 insertions(+), 50 deletions(-)

More information about workflows at CRAN
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Package textshaping updated to version 0.1.2 with previous version 0.1.1 dated 2020-09-29

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between textshaping versions 0.1.1 dated 2020-09-29 and 0.1.2 dated 2020-10-08

 DESCRIPTION               |    6 +--
 MD5                       |    8 ++---
 NEWS.md                   |    5 +++
 inst/doc/c_interface.html |   71 ++++++++++++++++++++++++++++++++++++++++++++++
 src/string_shape.cpp      |    6 +--
 5 files changed, 86 insertions(+), 10 deletions(-)

More information about textshaping at CRAN
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Package RNifti updated to version 1.2.3 with previous version 1.2.2 dated 2020-09-07

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] (<https://orcid.org/0000-0002-6608-0619>), Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNifti versions 1.2.2 dated 2020-09-07 and 1.2.3 dated 2020-10-08

 DESCRIPTION              |    8 +--
 MD5                      |    6 +-
 NEWS                     |    6 ++
 inst/include/RNiftiAPI.h |  110 +++++++++++++++++++++++++----------------------
 4 files changed, 73 insertions(+), 57 deletions(-)

More information about RNifti at CRAN
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Package callr updated to version 3.5.0 with previous version 3.4.4 dated 2020-09-07

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between callr versions 3.4.4 dated 2020-09-07 and 3.5.0 dated 2020-10-08

 DESCRIPTION                            |   14 +++++-----
 MD5                                    |   45 ++++++++++++++++-----------------
 NEWS.md                                |    7 +++++
 R/check.R                              |    4 ++
 R/eval-bg.R                            |    3 +-
 R/eval.R                               |   10 +++++--
 R/options.R                            |    3 +-
 R/package.R                            |    1 
 R/r-session.R                          |   28 ++++++++++++--------
 R/setup.R                              |   23 +++++++++++++++-
 R/utils.R                              |   16 +++++++++++
 README.md                              |    3 --
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 man/r_bg.Rd                            |   12 ++++++++
 man/r_copycat.Rd                       |    3 +-
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 man/r_vanilla.Rd                       |    3 +-
 tests/testthat.R                       |   22 ----------------
 tests/testthat/helper.R                |   11 +++++++-
 tests/testthat/test-clean-subprocess.R |    6 ++--
 tests/testthat/test-function-env.R     |only
 tests/testthat/test-libpath.R          |   34 ++----------------------
 tests/testthat/test-messages.R         |    4 +-
 tests/testthat/test-r-session.R        |    7 +++--
 24 files changed, 186 insertions(+), 116 deletions(-)

More information about callr at CRAN
Permanent link

Package timetk updated to version 2.4.0 with previous version 2.3.0 dated 2020-09-29

Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Methods discussed herein are commonplace in machine learning, and have been cited in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. <http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between timetk versions 2.3.0 dated 2020-09-29 and 2.4.0 dated 2020-10-08

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 timetk-2.4.0/timetk/DESCRIPTION                                             |    6 
 timetk-2.4.0/timetk/MD5                                                     |  398 +-
 timetk-2.4.0/timetk/NAMESPACE                                               |  716 +--
 timetk-2.4.0/timetk/NEWS.md                                                 |  661 +--
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 timetk-2.4.0/timetk/R/coersion-tk_xts.R                                     |  456 +-
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 timetk-2.4.0/timetk/R/coersion-tk_zooreg.R                                  |  416 +-
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 timetk-2.4.0/timetk/R/data-m4_daily.R                                       |   44 
 timetk-2.4.0/timetk/R/data-m4_hourly.R                                      |   44 
 timetk-2.4.0/timetk/R/data-m4_monthly.R                                     |   44 
 timetk-2.4.0/timetk/R/data-m4_quarterly.R                                   |   44 
 timetk-2.4.0/timetk/R/data-m4_weekly.R                                      |   46 
 timetk-2.4.0/timetk/R/data-m4_yearly.R                                      |   46 
 timetk-2.4.0/timetk/R/data-taylor_30_min.R                                  |   40 
 timetk-2.4.0/timetk/R/data-walmart_sales_weekly.R                           |   98 
 timetk-2.4.0/timetk/R/data-wikipedia_traffic_daily.R                        |   54 
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 timetk-2.4.0/timetk/R/index-tk_index.R                                      |  788 ++--
 timetk-2.4.0/timetk/R/lubridate-date_parsers.R                              |  182 
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 timetk-2.4.0/timetk/R/make-tk_make_timeseries.R                             |  803 ++--
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 timetk-2.4.0/timetk/R/plot-stl_diagnostics.R                                |  554 +-
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Package smoothedLasso updated to version 1.5 with previous version 1.4 dated 2020-09-22

Title: A Framework to Smooth L1 Penalized Regression Operators using Nesterov Smoothing
Description: We provide full functionality to smooth L1 penalized regression operators and to compute regression estimates thereof. For this, the objective function of a user-specified regression operator is first smoothed using Nesterov smoothing (see Y. Nesterov (2005) <doi:10.1007/s10107-004-0552-5>), resulting in a modified objective function with explicit gradients everywhere. The smoothed objective function and its gradient are minimized via BFGS, and the obtained minimizer is returned. Using Nesterov smoothing, the smoothed objective function can be made arbitrarily close to the original (unsmoothed) one. In particular, the Nesterov approach has the advantage that it comes with explicit accuracy bounds, both on the L1/L2 difference of the unsmoothed to the smoothed objective functions as well as on their respective minimizers (see G. Hahn, S.M. Lutz, N. Laha, C. Lange (2020) <doi:10.1101/2020.09.17.301788>). A progressive smoothing approach is provided which iteratively smoothes the objective function, resulting in more stable regression estimates.
Author: Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Nilanjana Laha [ctb], Christoph Lange [ctb]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>

Diff between smoothedLasso versions 1.4 dated 2020-09-22 and 1.5 dated 2020-10-08

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Package pkgsearch updated to version 3.0.3 with previous version 3.0.2 dated 2019-12-19

Title: Search and Query CRAN R Packages
Description: Search CRAN metadata about packages by keyword, popularity, recent activity, package name and more. Uses the 'R-hub' search server, see <https://r-pkg.org> and the CRAN metadata database, that contains information about CRAN packages. Note that this is _not_ a CRAN project.
Author: Gábor Csárdi [aut, cre], Maëlle Salmon [aut] (<https://orcid.org/0000-0002-2815-0399>), R Consortium [fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package modeltime updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-28

Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package dann updated to version 0.2.1 with previous version 0.2.0 dated 2020-03-14

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. This package implements dann and sub_dann from Hastie (1995) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package stat.extend updated to version 0.1.4 with previous version 0.1.1 dated 2020-08-11

Title: Highest Density Regions and Other Functions of Distributions
Description: Highest Density Regions are the smallest set in the support of a probability distribution with the specified coverage probability. 'HDRs' may contain disjoint intervals, but can be calculated efficiently using iterative methods. One can similarly construct optimal (i.e., shortest) confidence intervals for some basic inferential problems, including for population means, variances, or proportion parameters.
Author: Ben O'Neill [aut, cph], Neal Fultz [cre, ctb]
Maintainer: Neal Fultz <nfultz@gmail.com>

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Package r2dii.data updated to version 0.1.4 with previous version 0.1.3 dated 2020-09-12

Title: Datasets to Align Financial Markets with Climate Goals
Description: These datasets support the implementation in R of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial assets and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of 'PACTA' in R.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut, dtc] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package BIRDS updated to version 0.1.2 with previous version 0.1 dated 2020-03-20

Title: Biodiversity Information Review and Decision Support
Description: It helps making the evaluation and preparation of biodiversity data easy, systematic and reproducible. It also helps the users to overlay the point observations into a custom grid that is useful for further analysis. The review summarise statistics that helps evaluate whether a set of species observations is fit-for-use and take decisions upon its use of on further analyses. It does so by quantifying the sampling effort (amount of effort expended during an event) and data completeness (data gaps) to help judge whether the data is representative, valid and fit for any intended purpose. The 'BIRDS' package is most useful when working with heterogeneous data sets with variation in the sampling process, i.e. where data have been collected and reported in various ways and therefore varying in sampling effort and data completeness (i.e. how well the reported observations describe the true state). Primary biodiversity data (PBD) combining data from different data sets, like e.g. Global Biodiversity Information Facility (GBIF) mediated data, commonly vary in the ways data has been generated - containing opportunistically collected presence-only data together with and data from systematic monitoring programs. The set of tools provided is aimed at understanding the process that generated the data (i.e. observing, recording and reporting species into databases). There is a non-vital function on this package (makeDggrid()) that depends the package 'dggridR' that is no longer on CRAN. You can find it here <https://github.com/r-barnes/dggridR>. References: Ruete (2015) <doi:10.3897/BDJ.3.e5361>; Szabo, Vesk, Baxter & Possingham (2010) <doi:10.1890/09-0877.1>; Telfer, Preston 6 Rothery (2002) <doi:10.1016/S0006-3207(02)00050-2>.
Author: Debora Arlt [aut] (<https://orcid.org/0000-0003-0874-4250>), Alejandro Ruete [aut, cre] (<https://orcid.org/0000-0001-7681-2812>), Anton Hammarström [aut]
Maintainer: Alejandro Ruete <aleruete@gmail.com>

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Package analogsea updated to version 0.9.0 with previous version 0.8.0 dated 2020-01-30

Title: Interface to 'Digital Ocean'
Description: Provides a set of functions for interacting with the 'Digital Ocean' API <https://www.digitalocean.com/>, including creating images, destroying them, rebooting, getting details on regions, and available images.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Hadley Wickham [aut], Winston Chang [aut], Bob Rudis [ctb], Bryce Mecum [ctb] (<https://orcid.org/0000-0002-0381-3766>), RStudio [cph]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package mixsmsn updated to version 1.1-8 with previous version 1.1-7 dated 2020-04-17

Title: Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
Description: Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN) distributions, details in Prates, Lachos and Cabral (2013) <doi: 10.18637/jss.v054.i12>, Cabral, Lachos and Prates (2012) <doi:10.1016/j.csda.2011.06.026> and Basso, Lachos, Cabral and Ghosh (2010) <doi:10.1016/j.csda.2009.09.031>.
Author: Marcos Prates [aut, cre, trl], Victor Lachos [aut], Celso Cabral [aut]
Maintainer: Marcos Prates <marcosop@est.ufmg.br>

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Package brms updated to version 2.14.0 with previous version 2.13.5 dated 2020-07-31

Title: Bayesian Regression Models using 'Stan'
Description: Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018) <doi:10.32614/RJ-2018-017>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

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Package waldo updated to version 0.2.1 with previous version 0.2.0 dated 2020-07-13

Title: Find Differences Between R Objects
Description: Compare complex R objects and reveal the key differences. Designed particularly for use in testing packages where being able to quickly isolate key differences makes understanding test failures much easier.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package treeclim updated to version 2.0.5.1 with previous version 2.0.3 dated 2019-03-22

Title: Numerical Calibration of Proxy-Climate Relationships
Description: Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology, see Zang and Biondi (2015) <doi:10.1111/ecog.01335>.
Author: Christian Zang [aut, cre, cph, trl], Franco Biondi [ctb, cph]
Maintainer: Christian Zang <christian.zang@wzw.tum.de>

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Package prim updated to version 1.0.19 with previous version 1.0.18 dated 2020-10-05

Title: Patient Rule Induction Method (PRIM)
Description: Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
Author: Tarn Duong <tarn.duong@gmail.com>
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package gratis updated to version 0.2.1 with previous version 0.2.0 dated 2020-08-03

Title: Generating Time Series with Diverse and Controllable Characteristics
Description: Generates time series based on mixture autoregressive models. Kang,Y.,Hyndman,R.,Li,F.(2020)<doi:10.1002/sam.11461>.
Author: Yanfei Kang [aut, cre] (<https://orcid.org/0000-0001-8769-6650>), Feng Li [aut] (<https://orcid.org/0000-0002-4248-9778>), Rob Hyndman [ctb] (<https://orcid.org/0000-0002-2140-5352>), Mitchell O'Hara-Wild [ctb] (<https://orcid.org/0000-0001-6729-7695>), Bocong Zhao [ctb] (<https://orcid.org/0000-0001-8434-9047>)
Maintainer: Yanfei Kang <yanfeikang@buaa.edu.cn>

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Package clipr updated to version 0.7.1 with previous version 0.7.0 dated 2019-07-23

Title: Read and Write from the System Clipboard
Description: Simple utility functions to read from and write to the Windows, OS X, and X11 clipboards.
Author: Matthew Lincoln [aut, cre] (<https://orcid.org/0000-0002-4387-3384>), Louis Maddox [ctb], Steve Simpson [ctb], Jennifer Bryan [ctb]
Maintainer: Matthew Lincoln <matthew.d.lincoln@gmail.com>

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Package omicwas updated to version 0.8.0 with previous version 0.7.0 dated 2020-06-02

Title: Cell-Type-Specific Association Testing in Bulk Omics Experiments
Description: In bulk epigenome/transcriptome experiments, molecular expression is measured in a tissue, which is a mixture of multiple types of cells. This package tests association of a disease/phenotype with a molecular marker for each cell type. The proportion of cell types in each sample needs to be given as input. The package is applicable to epigenome-wide association study (EWAS) and differential gene expression analysis. Takeuchi and Kato (submitted) "omicwas: cell-type-specific epigenome-wide and transcriptome association study".
Author: Fumihiko Takeuchi [aut, cre] (<https://orcid.org/0000-0003-3185-5661>)
Maintainer: Fumihiko Takeuchi <fumihiko@takeuchi.name>

Diff between omicwas versions 0.7.0 dated 2020-06-02 and 0.8.0 dated 2020-10-08

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Package GALLO updated to version 1.0 with previous version 0.99.0 dated 2020-09-01

Title: Genomic Annotation in Livestock for Positional Candidate LOci
Description: The accurate annotation of genes and Quantitative Trait Loci (QTLs) located within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is a crucial step the most common genomic analyses performed in livestock, such as Genome-Wide Association Studies or transcriptomics. The Genomic Annotation in Livestock for positional candidate LOci (GALLO) is an R package designed to provide an intuitive and straightforward environment to annotate positional candidate genes and QTLs from high-throughput genetic studies in livestock. Moreover, GALLO allows the graphical visualization of gene and QTL annotation results, data comparison among different grouping factors (e.g., methods, breeds, tissues, statistical models, studies, etc.), and QTL enrichment in different livestock species including cattle, pigs, sheep, and chicken, among others.
Author: Pablo Fonseca [aut, cre], Aroa Suarez-Vega [aut], Gabriele Marras [aut], Angela Cánovas [aut]
Maintainer: Pablo Fonseca <pfonseca@uoguelph.ca>

Diff between GALLO versions 0.99.0 dated 2020-09-01 and 1.0 dated 2020-10-08

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New package gglm with initial version 0.1.0
Package: gglm
Type: Package
Title: Grammar of Graphics for Linear Model Diagnostic Plots
Version: 0.1.0
Authors@R: c( person("Grayson", "White", email = "graysonwhite13@gmail.com", role = c("cre","aut")))
Description: Allows for easy creation of diagnostic plots for linear models using the Grammar of Graphics. Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.
License: CC0
Encoding: UTF-8
LazyData: true
Imports: ggplot2, patchwork, rlang
URL: https://github.com/graysonwhite/gglm
BugReports: https://github.com/graysonwhite/gglm/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-10-02 16:30:01 UTC; graysonwhite
Author: Grayson White [cre, aut]
Maintainer: Grayson White <graysonwhite13@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-08 12:20:02 UTC

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New package AirSensor with initial version 1.0.2
Type: Package
Package: AirSensor
Version: 1.0.2
Title: Process and Display Data from Air Quality Sensors
Authors@R: c( person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")), person("Hans", "Martin", email="hans@mazamascience.com", role=c("aut")), person("Kayleigh", "Wilson", email="andrakayleigh@gmail.com", role=c("aut")), person("Tate", "Brasel", email="tatebrasel6@gmail.com", role=c("aut")), person("Helen", "Miller", email="helen@ohana.org", role=c("aut")), person("Vasileios", "Papapostolou", email="vpapapostolou@aqmd.gov", role=c("ctb")), person("Ashley", "Collier-Oxandale", email="Acollier-oxandale@aqmd.gov", role=c("ctb")), person("Brandon", "Feenstra", email="bfeenstra@aqmd.gov", role=c("ctb")) )
Author: Jonathan Callahan [aut, cre], Hans Martin [aut], Kayleigh Wilson [aut], Tate Brasel [aut], Helen Miller [aut], Vasileios Papapostolou [ctb], Ashley Collier-Oxandale [ctb], Brandon Feenstra [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>
Depends: R (>= 3.5.0)
Imports: countrycode, cowplot, dplyr (>= 1.0.0), dygraphs, geodist, geosphere, GGally, ggmap, ggplot2, gridExtra, httpcode, httr, jsonlite, leaflet, lubridate, magrittr, MazamaCoreUtils (>= 0.4.2), MazamaLocationUtils (>= 0.1.6), MazamaSpatialUtils (>= 0.6.3), openair, PWFSLSmoke (>= 1.2.100), readr, RColorBrewer, rlang, scales, seismicRoll, sp, stringr, tibble, tidyr, tidyselect, worldmet (>= 0.9.2), xts, zoo
Suggests: knitr, markdown, testthat (>= 2.1.0), rmarkdown, roxygen2
Description: Process and display data from air quality sensors. Initial focus is on PM2.5 measurements from sensors produced by 'PurpleAir' <https://www2.purpleair.com>.
License: GPL-3
URL: https://github.com/MazamaScience/AirSensor
BugReports: https://github.com/MazamaScience/AirSensor/issues
VignetteBuilder: knitr
Repository: CRAN
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Language: en-US
NeedsCompilation: no
Packaged: 2020-10-02 14:17:35 UTC; jonathan
Date/Publication: 2020-10-08 12:10:02 UTC

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New package spDates with initial version 1.0
Package: spDates
Title: Analysis of Spatial Gradients in Radiocarbon Dates
Version: 1.0
Authors@R: person(given = "Jonas", family = "Gregorio de Souza", role = c("aut", "cre"), email = "jonas.gregorio@gmail.com", comment = c(ORCID = "0000-0001-6032-4443"))
Description: Inspired by space-time regressions often performed to assess the expansion of the Neolithic from the Near East to Europe (Pinhasi et al. 2005 <doi:10.1371/journal.pbio.0030410>). Test for significant correlations between the (earliest) radiocarbon dates of archaeological sites and their respective distances from a hypothetical center of origin. Distances can be either great-circle or least-cost paths calculated from a friction surface. Both ordinary least squares (OLS) and reduced major axis (RMA) methods are supported (Russell et al. 2014 <doi:10.1371/journal.pone.0087854>). It is also possible to iterate over many sites to identify the most likely origin.
Depends: R (>= 3.5.0), rcarbon
Imports: data.table, dplyr, gdistance, ggplot2, parallel, raster, smatr, viridisLite, magrittr, rlang, sp, gstat
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-02 09:49:18 UTC; jgregoriods
Author: Jonas Gregorio de Souza [aut, cre] (<https://orcid.org/0000-0001-6032-4443>)
Maintainer: Jonas Gregorio de Souza <jonas.gregorio@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-08 11:20:02 UTC

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Package sctransform updated to version 0.3.1 with previous version 0.3 dated 2020-09-20

Title: Variance Stabilizing Transformations for Single Cell UMI Data
Description: A normalization method for single-cell UMI count data using a variance stabilizing transformation. The transformation is based on a negative binomial regression model with regularized parameters. As part of the same regression framework, this package also provides functions for batch correction, and data correction. See Hafemeister and Satija 2019 <doi:10.1186/s13059-019-1874-1> for more details.
Author: Christoph Hafemeister [aut, cre] (<https://orcid.org/0000-0001-6365-8254>)
Maintainer: Christoph Hafemeister <christoph.hafemeister@nyu.edu>

Diff between sctransform versions 0.3 dated 2020-09-20 and 0.3.1 dated 2020-10-08

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New package quickerstats with initial version 0.0.1
Package: quickerstats
Type: Package
Title: An 'R' Client for the 'USDA NASS Quick Stats API'
Version: 0.0.1
Authors@R: person("Aaron", "Anderson", email = "aaronanderson.co@gmail.com", role = c("aut", "cre"))
Description: Provides several convenience functions for searching and pulling data from the 'USDA NASS Quick Stats API' <https://quickstats.nass.usda.gov/api>. Users can easily search for specific data items, and then download county-level or state-level Census of Agricultural data from a specified year.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: httr (>= 1.4.1), readr (>= 1.3.1), curl (>= 4.2.0), tibble (>= 2.1.3)
BugReports: https://github.com/anderaa/quickerstats/issues
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-02 14:21:35 UTC; ama
Author: Aaron Anderson [aut, cre]
Maintainer: Aaron Anderson <aaronanderson.co@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-08 12:00:07 UTC

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New package MSGARCHelm with initial version 0.1.0
Package: MSGARCHelm
Type: Package
Title: Hybridization of MS-GARCH and ELM Model
Version: 0.1.0
Authors@R: c(person(given = "Rajeev Ranjan", family = "Kumar", role = c("aut", "cre"), email = "rrk.uasd@gmail.com"), person(given = "Girish Kumar", family = "Jha", role = c("aut", "ths", "ctb")), person(given = "Neeraj", family = "Budhlakoti", role = "ctb"))
Description: Implements the three parallel forecast combinations of Markov Switching GARCH and extreme learning machine model along with the selection of appropriate model for volatility forecasting. For method details see Hsiao C, Wan SK (2014). <doi:10.1016/j.jeconom.2013.11.003>, Hansen BE (2007). <doi:10.1111/j.1468-0262.2007.00785.x>, Elliott G, Gargano A, Timmermann A (2013). <doi:10.1016/j.jeconom.2013.04.017>.
Depends: R (>= 3.6)
Imports: nnfor, MSGARCH, forecast
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-10-02 14:11:40 UTC; Neeraj
Author: Rajeev Ranjan Kumar [aut, cre], Girish Kumar Jha [aut, ths, ctb], Neeraj Budhlakoti [ctb]
Maintainer: Rajeev Ranjan Kumar <rrk.uasd@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-08 11:40:02 UTC

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Package EHRtemporalVariability updated to version 1.1.2 with previous version 1.1.1 dated 2020-05-25

Title: Delineating Temporal Dataset Shifts in Electronic Health Records
Description: Functions to delineate temporal dataset shifts in Electronic Health Records through the projection and visualization of dissimilarities among data temporal batches. This is done through the estimation of data statistical distributions over time and their projection in non-parametric statistical manifolds, uncovering the patterns of the data latent temporal variability. 'EHRtemporalVariability' is particularly suitable for multi-modal data and categorical variables with a high number of values, common features of biomedical data where traditional statistical process control or time-series methods may not be appropriate. 'EHRtemporalVariability' allows you to explore and identify dataset shifts through visual analytics formats such as Data Temporal heatmaps and Information Geometric Temporal (IGT) plots. An additional 'EHRtemporalVariability' Shiny app can be used to load and explore the package results and even to allow the use of these functions to those users non-experienced in R coding. (Sáez et al. 2020) <doi:10.1093/gigascience/giaa079>.
Author: Carlos Sáez [aut, cre], Alba Gutiérrez-Sacristán [aut], Isaac Kohane [aut], Juan M García-Gómez [aut], Paul Avillach [aut], Biomedical Data Science Lab, Universitat Politècnica de València (Spain) [cph], Department of Biomedical Informatics, Harvard Medical School [cph]
Maintainer: Carlos Sáez <carsaesi@upv.es>

Diff between EHRtemporalVariability versions 1.1.1 dated 2020-05-25 and 1.1.2 dated 2020-10-08

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Package dbnR updated to version 0.5.2 with previous version 0.4.5 dated 2020-06-11

Title: Dynamic Bayesian Network Learning and Inference
Description: Learning and inference over dynamic Bayesian networks of arbitrary Markovian order. Extends some of the functionality offered by the 'bnlearn' package to learn the networks from data and perform exact inference. It offers two structure learning algorithms for dynamic Bayesian networks and the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the 'visNetwork' package.
Author: David Quesada [aut, cre], Gabriel Valverde [ctb]
Maintainer: David Quesada <dkesada@gmail.com>

Diff between dbnR versions 0.4.5 dated 2020-06-11 and 0.5.2 dated 2020-10-08

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New package dCUR with initial version 1.0.0
Package: dCUR
Type: Package
Title: Dimension Reduction with Dynamic CUR
Version: 1.0.0
Depends: R (>= 3.5.0)
Maintainer: Cesar Gamboa <info@cesargamboasanabria.com>
URL: https://www.cesargamboasanabria.com
Author: Cesar Gamboa-Sanabria [aut, mdc, cph, cre] (<https://orcid.org/0000-0001-6733-4759>), Stefani Matarrita-Munoz [aut] (<https://orcid.org/0000-0002-1222-1981>), Katherine Barquero-Mejias [aut] (<https://orcid.org/0000-0003-1760-9026>), Greibin Villegas-Barahona [aut] (<https://orcid.org/0000-0002-4380-0812>), Mercedes Sanchez-Barba [aqt] (<https://orcid.org/0000-0002-3324-5798>), Maria Purificacion Galindo-Villardon [aqt] (<https://orcid.org/0000-0001-6977-7545>)
Description: Dynamic CUR (dCUR) boosts the CUR decomposition (Mahoney MW., Drineas P. (2009) <doi:10.1073/pnas.0803205106>) varying the k, the number of columns and rows used, and its final purposes to help find the stage, which minimizes the relative error to reduce matrix dimension. The goal of CUR Decomposition is to give a better interpretation of the matrix decomposition employing proper variable selection in the data matrix, in a way that yields a simplified structure. Its origins come from analysis in genetics. The goal of this package is to show an alternative to variable selection (columns) or individuals (rows). The idea proposed consists of adjusting the probability distributions to the leverage scores and selecting the best columns and rows that minimize the reconstruction error of the matrix approximation ||A-CUR||. It also includes a method that recalibrates the relative importance of the leverage scores according to an external variable of the user's interest.
Imports: parallel, magrittr, stackoverflow, mclust, MASS, ppcor, ggplot2, dplyr, Rdpack
License: GPL-3
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
RoxygenNote: 7.1.1
Suggests: testthat, snow
NeedsCompilation: no
Packaged: 2020-10-02 13:52:15 UTC; Dell
Repository: CRAN
Date/Publication: 2020-10-08 11:30:02 UTC

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Package rlang updated to version 0.4.8 with previous version 0.4.7 dated 2020-07-09

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between rlang versions 0.4.7 dated 2020-07-09 and 0.4.8 dated 2020-10-08

 rlang-0.4.7/rlang/tools                                                               |only
 rlang-0.4.8/rlang/DESCRIPTION                                                         |    9 
 rlang-0.4.8/rlang/MD5                                                                 |  141 +++++-----
 rlang-0.4.8/rlang/NEWS.md                                                             |   22 +
 rlang-0.4.8/rlang/R/attr.R                                                            |    2 
 rlang-0.4.8/rlang/R/cnd-abort.R                                                       |   99 ++++---
 rlang-0.4.8/rlang/R/cnd-entrace.R                                                     |    4 
 rlang-0.4.8/rlang/R/cnd-error.R                                                       |   12 
 rlang-0.4.8/rlang/R/env.R                                                             |    6 
 rlang-0.4.8/rlang/R/lifecycle-retired.R                                               |    8 
 rlang-0.4.8/rlang/R/node.R                                                            |    2 
 rlang-0.4.8/rlang/R/state.R                                                           |    7 
 rlang-0.4.8/rlang/R/trace.R                                                           |   94 ++++--
 rlang-0.4.8/rlang/build/rlang.pdf                                                     |binary
 rlang-0.4.8/rlang/man/env.Rd                                                          |    4 
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 rlang-0.4.8/rlang/src/export/exported-tests.c                                         |    2 
 rlang-0.4.8/rlang/src/export/exported.c                                               |    6 
 rlang-0.4.8/rlang/src/export/init.c                                                   |   11 
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Package mrMLM.GUI updated to version 4.0.2 with previous version 4.0.1 dated 2020-09-29

Title: Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study with Graphical User Interface
Description: Conduct multi-locus genome-wide association study under the framework of multi-locus random-SNP-effect mixed linear model (mrMLM). First, each marker on the genome is scanned. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers that are potentially associated with the trait are included in a multi-locus genetic model, their effects are estimated by empirical Bayes and all the nonzero effects were further identified by likelihood ratio test for true QTL. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) <doi:10.1093/bib/bbw145>.
Author: Zhang Ya-Wen, Li Pei, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

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Package mrMLM updated to version 4.0.2 with previous version 4.0.1 dated 2020-09-29

Title: Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for Genome-Wide Association Study
Description: Conduct multi-locus genome-wide association study under the framework of multi-locus random-SNP-effect mixed linear model (mrMLM). First, each marker on the genome is scanned. Bonferroni correction is replaced by a less stringent selection criterion for significant test. Then, all the markers that are potentially associated with the trait are included in a multi-locus genetic model, their effects are estimated by empirical Bayes and all the nonzero effects were further identified by likelihood ratio test for true QTL. Wen YJ, Zhang H, Ni YL, Huang B, Zhang J, Feng JY, Wang SB, Dunwell JM, Zhang YM, Wu R (2018) <doi:10.1093/bib/bbw145>.
Author: Zhang Ya-Wen, Li Pei, and Zhang Yuan-Ming
Maintainer: Yuanming Zhang<soyzhang@mail.hzau.edu.cn>

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Package mixmeta updated to version 1.1.0 with previous version 1.0.8 dated 2020-03-09

Title: An Extended Mixed-Effects Framework for Meta-Analysis
Description: A collection of functions to perform various meta-analytical models through a unified mixed-effects framework, including standard univariate fixed and random-effects meta-analysis and meta-regression, and non-standard extensions such as multivariate, multilevel, longitudinal, and dose-response models.
Author: Antonio Gasparrini [aut, cre], Francesco Sera [aut]
Maintainer: Antonio Gasparrini <antonio.gasparrini@lshtm.ac.uk>

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New package EHR with initial version 0.3-1
Package: EHR
Version: 0.3-1
Date: 2020-09-28
Title: Electronic Health Record (EHR) Data Processing and Analysis Tool
Maintainer: Leena Choi <naturechoi@gmail.com>
Authors@R: c(person("Leena", "Choi", role = c("aut", "cre"), email = "naturechoi@gmail.com", comment = c(ORCID = "0000-0002-2544-7090")), person("Cole", "Beck", role = "aut", email = "cole.beck@vumc.org", comment = c(ORCID = "0000-0002-6849-6255")), person("Hannah", "Weeks", role = "aut", email = "hannah.l.weeks@vanderbilt.edu"), person("Elizabeth", "McNeer", role = "aut", email = "elizabeth.mcneer@vumc.org"))
Description: Process and analyze Electronic Health Record (EHR) data. The 'EHR' package provides modules to perform diverse medication-related studies using data from EHR databases. Especially, the package includes modules to perform pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in Choi, Beck, McNeer, Weeks, Williams, James, Niu, Abou-Khalil, Birdwell, Roden, Stein, Bejan, Denny, and Van Driest (2020) <doi:10.1002/cpt.1787>. Additional modules will be added in future. In addition, this package provides various functions useful to perform Phenome Wide Association Study (PheWAS) to explore associations between drug exposure and phenotypes obtained from EHR data, as outlined in Choi, Carroll, Beck, Mosley, Roden, Denny, and Van Driest (2018) <doi:10.1093/bioinformatics/bty306>.
Depends: R (>= 2.10)
License: GPL (>= 3)
Imports: stats, utils, data.table, methods
Suggests: glmnet, logistf, medExtractR, knitr, rmarkdown, ggplot2, formula.tools
NeedsCompilation: no
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Packaged: 2020-10-05 16:34:36 UTC; beckca
Author: Leena Choi [aut, cre] (<https://orcid.org/0000-0002-2544-7090>), Cole Beck [aut] (<https://orcid.org/0000-0002-6849-6255>), Hannah Weeks [aut], Elizabeth McNeer [aut]
Repository: CRAN
Date/Publication: 2020-10-08 10:40:02 UTC

More information about EHR at CRAN
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Package cpm updated to version 2.3 with previous version 2.2 dated 2015-07-27

Title: Sequential and Batch Change Detection Using Parametric and Nonparametric Methods
Description: Sequential and batch change detection for univariate data streams, using the change point model framework. Functions are provided to allow nonparametric distribution-free change detection in the mean, variance, or general distribution of a given sequence of observations. Parametric change detection methods are also provided for Gaussian, Bernoulli and Exponential sequences. Both the batch (Phase I) and sequential (Phase II) settings are supported, and the sequences may contain either a single or multiple change points. A full description of this package is available in Ross, G.J (2015) - "Parametric and nonparametric sequential change detection in R" available at <https://www.jstatsoft.org/article/view/v066i03>.
Author: Gordon J. Ross
Maintainer: Gordon J. Ross <gordon@gordonjross.co.uk>

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Package bbotk updated to version 0.2.2 with previous version 0.2.1 dated 2020-09-05

Title: Black-Box Optimization Toolkit
Description: Provides a common framework for optimization of black-box functions for other packages, e.g. 'mlr3'. It offers various optimization methods e.g. grid search, random search and generalized simulated annealing.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

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New package LDheatmap with initial version 1.0-4
Package: LDheatmap
Version: 1.0-4
Date: 2020-10-03
Title: Graphical Display of Pairwise Linkage Disequilibria Between SNPs
Authors@R: c(person("Ji-Hyung","Shin",email="shin@sfu.ca", role="aut"), person("Sigal","Blay", email="sblay@sfu.ca",role="aut"), person("Nicholas","Lewin-Koh",email="nikko@hailmail.net", role="ctb"), person("Brad","McNeney",email="mcneney@sfu.ca",role=c("aut","cre")), person("Gloria","Yang",email="xuefei_yang@sfu.ca",role="ctb"), person("Matthew","Reyers",email="matthew_reyers@sfu.ca",role="ctb"), person("Youwei","Yan",email="youweiy@sfu.ca",role="ctb"), person("Jinko","Graham",email="jgraham@sfu.ca",role="aut"))
Maintainer: Brad McNeney <mcneney@sfu.ca>
Depends: R (>= 4.0)
Imports: grid, genetics, snpStats, Rcpp
Suggests: rtracklayer, GenomicRanges, GenomeInfoDb, IRanges, lattice, ggplot2, vcfR
Description: Produces a graphical display, as a heat map, of measures of pairwise linkage disequilibria between single nucleotide polymorphisms (SNPs). Users may optionally include the physical locations or genetic map distances of each SNP on the plot. The methods are described in Shin et al. (2006) <doi:10.18637/jss.v016.c03>. Users should note that the imported package 'snpStats' and the suggested packages 'rtracklayer', 'GenomicRanges', 'GenomInfoDb' and 'IRanges' are all BioConductor packages <https://bioconductor.org>.
License: GPL-3
URL: https://sfustatgen.github.io/LDheatmap/
Repository: CRAN
Date/Publication: 2020-10-08 10:00:02 UTC
RoxygenNote: 7.1.0
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2020-10-03 16:53:57 UTC; mcneney
Author: Ji-Hyung Shin [aut], Sigal Blay [aut], Nicholas Lewin-Koh [ctb], Brad McNeney [aut, cre], Gloria Yang [ctb], Matthew Reyers [ctb], Youwei Yan [ctb], Jinko Graham [aut]

More information about LDheatmap at CRAN
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Package FSelectorRcpp updated to version 0.3.7 with previous version 0.3.3 dated 2020-01-24

Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support
Description: 'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support.
Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb], Patrick Schratz [ctb] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

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Package neatStats updated to version 1.5.1 with previous version 1.4.2 dated 2020-07-11

Title: Neat and Painless Statistical Reporting
Description: User-friendly, clear and simple statistics, primarily for publication in psychological science. The main functions are wrappers for other packages, but there are various additions as well. Every relevant step from data aggregation to reportable printed statistics is covered for basic experimental designs.
Author: Gáspár Lukács [aut, cre] (<https://orcid.org/0000-0001-9401-4830>), Bennett Kleinberg [ctb] (<https://orcid.org/0000-0003-1658-9086>), Johnny van Doorn [ctb] (<https://orcid.org/0000-0003-0270-096X>)
Maintainer: Gáspár Lukács <lkcsgaspar@gmail.com>

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Package mkin updated to version 0.9.50.3 with previous version 0.9.50.2 dated 2020-05-12

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

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New package sketch with initial version 1.0.3
Package: sketch
Type: Package
Title: Interactive Sketches
Version: 1.0.3
Authors@R: c( person("Chun Fung","Kwok", role = c("aut", "cre"), email = "kwokcf@unimelb.edu.au"), person("Kate", "Saunders", role = "ctb") )
Description: Creates static / animated / interactive visualisations embeddable in R Markdown documents. It implements an R-to-JavaScript transpiler and enables users to write JavaScript applications using the syntax of R.
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: magrittr, rlang, purrr, rstudioapi, glue, htmltools, base64enc, jsonlite, shiny
Suggests: testthat, covr, knitr, rmarkdown,
BugReports: https://github.com/kcf-jackson/sketch
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-02 05:25:39 UTC; mac_ks
Author: Chun Fung Kwok [aut, cre], Kate Saunders [ctb]
Maintainer: Chun Fung Kwok <kwokcf@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2020-10-08 07:40:03 UTC

More information about sketch at CRAN
Permanent link

Package EmissV updated to version 0.665.3.0 with previous version 0.665.2.1 dated 2020-04-01

Title: Vehicular Emissions by Top-Down Methods
Description: Creates emissions for use in air quality models. Vehicular emissions are estimated by a top-down approach, total emissions are calculated using the statistical description of the fleet of vehicles, the emission is spatially distributed according to satellite images or openstreetmap data <https://www.openstreetmap.org> and then distributed temporarily (Vara-Vela et al., 2016, <doi:10.5194/acp-16-777-2016>).
Author: Daniel Schuch [aut, cre] (<https://orcid.org/0000-0001-5977-4519>), Sergio Ibarra-Espinosa [aut] (<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Daniel Schuch <schuch@usp.br>

Diff between EmissV versions 0.665.2.1 dated 2020-04-01 and 0.665.3.0 dated 2020-10-08

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New package BIGDAWG with initial version 2.3.1
Package: BIGDAWG
Type: Package
Title: Case-Control Analysis of Multi-Allelic Loci
Version: 2.3.1
Date: 2020-10-07
Author: Derek Pappas <pappas.derek@gmail.com>, Steve Mack <steven.mack@ucsf.edu>, Jill Hollenbach <Jill.Hollenbach@ucsf.edu>
Maintainer: Steve Mack <steven.mack@ucsf.edu>
URL: http://tools.immunogenomics.org/, https://github.com/IgDAWG/BIGDAWG
BugReports: https://github.com/IgDAWG/BIGDAWG/issues
Description: Data sets and functions for chi-squared Hardy-Weinberg and case-control association tests of highly polymorphic genetic data [e.g., human leukocyte antigen (HLA) data]. Performs association tests at multiple levels of polymorphism (haplotype, locus and HLA amino-acids) as described in Pappas DJ, Marin W, Hollenbach JA, Mack SJ (2016) <doi:10.1016/j.humimm.2015.12.006>. Combines rare variants to a common class to account for sparse cells in tables as described by Hollenbach JA, Mack SJ, Thomson G, Gourraud PA (2012) <doi:10.1007/978-1-61779-842-9_14>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: True
Depends: R (>= 3.5.0)
Imports: XML, httr, haplo.stats, parallel, knitr
Suggests: rmarkdown, qpdf
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-07 20:24:41 UTC; sjmack
Repository: CRAN
Date/Publication: 2020-10-08 07:50:02 UTC

More information about BIGDAWG at CRAN
Permanent link

Package AMR updated to version 1.4.0 with previous version 1.3.0 dated 2020-07-31

Title: Antimicrobial Resistance Analysis
Description: Functions to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods, like those defined by Leclercq et al. (2013) <doi:10.1111/j.1469-0691.2011.03703.x> and the Clinical and Laboratory Standards Institute (2014) <isbn: 1-56238-899-1>.
Author: Matthijs S. Berends [aut, cre] (<https://orcid.org/0000-0001-7620-1800>), Christian F. Luz [aut, ctb] (<https://orcid.org/0000-0001-5809-5995>), Alexander W. Friedrich [aut, ths] (<https://orcid.org/0000-0003-4881-038X>), Bhanu N. M. Sinha [aut, ths] (<https://orcid.org/0000-0003-1634-0010>), Casper J. Albers [aut, ths] (<https://orcid.org/0000-0002-9213-6743>), Corinna Glasner [aut, ths] (<https://orcid.org/0000-0003-1241-1328>), Judith M. Fonville [ctb], Erwin E. A. Hassing [ctb], Eric H. L. C. M. Hazenberg [ctb], Gwen Knight [ctb], Annick Lenglet [ctb], Bart C. Meijer [ctb], Sofia Ny [ctb], Dennis Souverein [ctb], Anthony Underwood [ctb]
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

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Package rgdal updated to version 1.5-17 with previous version 1.5-16 dated 2020-08-07

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package ztable updated to version 0.2.2 with previous version 0.2.0 dated 2018-07-22

Title: Zebra-Striped Tables in LaTeX and HTML Formats
Description: Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package tiledb updated to version 0.8.1 with previous version 0.8.0 dated 2020-09-03

Title: Sparse and Dense Multidimensional Array Storage Engine for Data Science
Description: The data science storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc.
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

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Package tidyhydat updated to version 0.5.1 with previous version 0.5.0 dated 2019-12-02

Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources (<https://dd.weather.gc.ca/hydrometric/csv/> and <https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Author: Sam Albers [aut, cre] (<https://orcid.org/0000-0002-9270-7884>), David Hutchinson [ctb], Dewey Dunnington [ctb], Ryan Whaley [ctb], Province of British Columbia [cph], Luke Winslow [rev] (Reviewed for rOpenSci), Laura DeCicco [rev] (Reviewed for rOpenSci)
Maintainer: Sam Albers <sam.albers@gov.bc.ca>

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Package sunburstR updated to version 2.1.5 with previous version 2.1.4 dated 2020-07-06

Title: Sunburst 'Htmlwidget'
Description: Make interactive 'd3.js' sequence sunburst diagrams in R with the convenience and infrastructure of an 'htmlwidget'.
Author: Mike Bostock [aut, cph] (d3.js library, http://d3js.org), Kerry Rodden [aut, cph] (sequences library in htmlwidgets/lib, https://gist.github.com/kerryrodden/7090426), Kevin Warne [aut, cph] (d2b sunburst library in htmlwidgets/lib, https://github.com/d2bjs/d2b), Kent Russell [aut, cre] (R interface), Florian Breitwieser [ctb] (R interface), CJ Yetman [ctb] (R interface, <https://orcid.org/0000-0001-5099-9500>)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

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Package spectrolab updated to version 0.0.10 with previous version 0.0.9 dated 2020-06-09

Title: Class and Methods for Hyperspectral Data
Description: Input/Output, processing and visualization of spectra taken with different spectrometers, including SVC (Spectra Vista), ASD and PSR (Spectral Evolution). Implements an S3 class 'spectra' that other packages can build on. Provides methods to access, plot, manipulate, splice sensor overlap, vector normalize and smooth spectra.
Author: Jose Eduardo Meireles [aut, cre], Anna K. Schweiger [aut], Jeannine Cavender-Bares [aut]
Maintainer: Jose Eduardo Meireles <jemeireles@gmail.com>

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Package PPQplan updated to version 1.1.0 with previous version 1.0.0 dated 2019-09-03

Title: Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis
Description: Assessment for statistically-based PPQ sampling plan, including calculating the passing probability, optimizing the baseline and high performance cutoff points, visualizing the PPQ plan and power dynamically. The analytical idea is based on the simulation methods from the textbook Burdick, R. K., LeBlond, D. J., Pfahler, L. B., Quiroz, J., Sidor, L., Vukovinsky, K., & Zhang, L. (2017). Statistical Methods for CMC Applications. In Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry (pp. 227-250). Springer, Cham.
Author: Yalin Zhu [aut, cre] (<https://orcid.org/0000-0003-3830-8660>), Merck & Co., Inc. [cph]
Maintainer: Yalin Zhu <yalin.zhu@merck.com>

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Package dittodb updated to version 0.1.2 with previous version 0.1.1 dated 2020-07-29

Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] (<https://orcid.org/0000-0001-7087-9776>), Mauricio Vargas [aut] (<https://orcid.org/0000-0003-1017-7574>), Helen Miller [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366), Etienne Racine [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366)
Maintainer: Jonathan Keane <jkeane@gmail.com>

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Package irt (with last version 0.1.1) was removed from CRAN

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

2020-09-24 0.1.1

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Package MissMech (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:

2015-04-14 1.0.2
2014-01-20 1.0.1
2013-07-06 1.0

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Package CryptRndTest (with last version 1.2.2) was removed from CRAN

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

2016-02-25 1.2.2
2016-01-04 1.2.1
2015-09-01 1.1.5
2015-06-16 1.0.5

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