Tue, 31 Mar 2020

Package RISCA updated to version 0.8.1 with previous version 0.8 dated 2019-08-05

Title: Causal Inference and Prediction in Cohort-Based Analyses
Description: We propose numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events (Le Borgne, 2016, <doi:10.1002/sim.6777>), competing events (Trebern-Launay, 2018, <doi: 10.1007/s10654-017-0322-3>), and multi-state data (Gillaizeau, 2018, <doi: 10.1002/sim.7550>). For multistate data, semi-Markov model with interval censoring (Foucher, 2008, <doi: 10.1177/0962280208093889>) may be considered and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables (Gillaizeau, 2017, <doi: 10.1177/0962280215586456>). For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders (Le Borgne, 2018, <doi: 10.1177/0962280217702416>). Finally, several functions are available to assess time-dependent ROC curves (Combescure, 2017, <doi: 10.1177/0962280212464542>) or survival curves (Combescure, 2014, <doi: 10.1002/sim.6111>) from aggregated data.
Author: Yohann Foucher [aut, cre] (<https://orcid.org/0000-0003-0330-7457>), Florent Le Borgne [aut], Etienne Dantan [aut], Florence Gillaizeau [aut], Arthur Chatton [aut], Christophe Combescure [aut]
Maintainer: Yohann Foucher <Yohann.Foucher@univ-nantes.fr>

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Package ZIPFA updated to version 0.8.1 with previous version 0.8.0 dated 2019-10-25

Title: Zero Inflated Poisson Factor Analysis
Description: Estimation methods for zero-inflated Poisson factor analysis (ZIPFA) on sparse data. It provides estimates of coefficients in a new type of zero-inflated regression. It provides a cross-validation method to determine the potential rank of the data in the ZIPFA and conducts zero-inflated Poisson factor analysis based on the determined rank.
Author: Tianchen Xu [aut, cre] (<https://orcid.org/0000-0002-0102-7630>), Ryan T. Demmer [aut], Gen Li [aut]
Maintainer: Tianchen Xu <tx2155@columbia.edu>

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Package xpectr updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-15

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

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Package otuSummary updated to version 0.1.1 with previous version 0.1.0 dated 2018-06-19

Title: Summarizing OTU Table Regarding the Composition, Abundance and Beta Diversity of Abundant and Rare Biospheres
Description: Summarizes the taxonomic composition, diversity contribution of the rare and abundant community by using OTU (operational taxonomic unit) table which was generated by analyzing pipeline of 'QIIME' or 'mothur'. The rare biosphere in this package is subset by the relative abundance threshold (for details about rare biosphere please see Lynch and Neufeld (2015) <doi:10.1038/nrmicro3400>).
Author: Sizhong Yang
Maintainer: Sizhong Yang <yanglzu@163.com>

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Package flacco updated to version 1.8 with previous version 1.7 dated 2017-06-14

Title: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
Description: Tools and features for "Exploratory Landscape Analysis (ELA)" of single-objective continuous optimization problems. Those features are able to quantify rather complex properties, such as the global structure, separability, etc., of the optimization problems.
Author: Pascal Kerschke [aut, cre], Christian Hanster [ctb], Jan Dagefoerde [ctb]
Maintainer: Pascal Kerschke <kerschke@uni-muenster.de>

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Package rsample updated to version 0.0.6 with previous version 0.0.5 dated 2019-07-12

Title: General Resampling Infrastructure
Description: Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Author: Max Kuhn [aut, cre], Fanny Chow [aut], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package gemtc updated to version 0.8-4 with previous version 0.8-2 dated 2016-12-23

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

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Package SDraw updated to version 2.1.11 with previous version 2.1.8 dated 2019-03-07

Title: Spatially Balanced Samples of Spatial Objects
Description: Routines for drawing samples from spatial objects, focused on spatially balanced algorithms. Draws Halton Iterative Partition (HIP) (Robertson et al., 2018; <doi:10.1007/s10651-018-0406-6>), Balanced Acceptance Samples (BAS) (Robertson et al., 2013; <doi:10.1111/biom.12059>), Generalized Random Tessellation Stratified (GRTS) (Stevens and Olsen, 2004; <doi:10.1198/016214504000000250>), Simple Systematic Samples (SSS) and Simple Random Samples (SRS) from point, line, and polygon resources. Frames are 'SpatialPoints', 'SpatialLines', or 'SpatialPolygons' objects from package 'sp'.
Author: Trent McDonald [cre, aut], Aidan McDonald [aut] (HIP sampling methods), Michael Kleinsausser [ctb], Stefan Emmons [ctb] (Auto testing and Travis)
Maintainer: Trent McDonald <tmcdonald@west-inc.com>

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Package admisc updated to version 0.7 with previous version 0.6 dated 2020-03-10

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'QCA', 'DDIwR', and 'venn'. Interprets and translates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among others, a highly flexible recoding routine. Some functions need specific functionality from package QCA, but since that package depends on this one, admisc cannot automatically load it due to circular dependency.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package simstudy updated to version 0.1.16 with previous version 0.1.15 dated 2019-10-16

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

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 39 files changed, 359 insertions(+), 168 deletions(-)

More information about simstudy at CRAN
Permanent link

Package GWASinspector updated to version 1.4.6.7 with previous version 1.4.6 dated 2020-03-23

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

Diff between GWASinspector versions 1.4.6 dated 2020-03-23 and 1.4.6.7 dated 2020-03-31

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 GWASinspector-1.4.6.7/GWASinspector/MD5                                      |   66 ++++------
 GWASinspector-1.4.6.7/GWASinspector/NAMESPACE                                |    1 
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More information about GWASinspector at CRAN
Permanent link

Package cutpointr (with last version 1.0.1) was removed from CRAN

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

2019-12-18 1.0.1
2019-09-17 1.0.0
2019-03-27 0.7.6
2018-08-31 0.7.4
2018-04-13 0.7.3
2018-03-21 0.7.2

Permanent link
Package starmie (with last version 0.1.2) was removed from CRAN

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

2016-11-07 0.1.2

Permanent link
Package stormwindmodel (with last version 0.1.2) was removed from CRAN

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

2020-01-09 0.1.2
2018-10-15 0.1.1
2017-01-09 0.1.0

Permanent link
New package impressionist.colors with initial version 1.0
Package: impressionist.colors
Type: Package
Title: Impressionism's Color Palettes
Version: 1.0
Author: Federico Casale
Maintainer: Federico Casale <casale@hhu.de>
Description: Provides color palettes from Impressionism and post-Impressionism artworks. This package allows to select colors combinations while looking at the original paintings where colors were sampled from.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: graphics
NeedsCompilation: no
Packaged: 2020-03-31 15:27:54 UTC; qggadmin
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2020-03-31 16:20:02 UTC

More information about impressionist.colors at CRAN
Permanent link

New package COVID19 with initial version 0.2.1
Package: COVID19
Type: Package
Title: Coronavirus COVID-19 (2019-nCoV) Data Acquisition and Visualization
Version: 0.2.1
Authors@R: person(given = "Emanuele", family = "Guidotti", email = "emanuele.guidotti@unine.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8961-6623"))
Description: Pre-processed, ready-to-use, tidy format datasets of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. The latest data are downloaded in real-time, processed and merged with demographic indicators from several trusted sources. The package implements advanced data visualization across the space and time dimensions by means of animated mapping. Besides worldwide data, the package includes granular data for Italy, Switzerland and the Diamond Princess.
License: GPL-3
URL: https://github.com/emanuele-guidotti/COVID19
BugReports: https://github.com/emanuele-guidotti/COVID19/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: devtools, utils, reshape2, dplyr, tidyr, sp, rgdal, ggplot2, gganimate, ggthemes
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-27 23:31:30 UTC; Emanuele
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>
Repository: CRAN
Date/Publication: 2020-03-31 16:30:02 UTC

More information about COVID19 at CRAN
Permanent link

Package BoomSpikeSlab updated to version 1.2.2 with previous version 1.2.1 dated 2019-09-04

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

Diff between BoomSpikeSlab versions 1.2.1 dated 2019-09-04 and 1.2.2 dated 2020-03-31

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 BoomSpikeSlab-1.2.2/BoomSpikeSlab/inst/tests/testthat/test-nnet.R |   10 +-
 BoomSpikeSlab-1.2.2/BoomSpikeSlab/src/spike_slab_wrapper.cc       |   36 ++++++----
 8 files changed, 64 insertions(+), 67 deletions(-)

More information about BoomSpikeSlab at CRAN
Permanent link

Package baytrends updated to version 1.2.1 with previous version 1.1.0 dated 2019-03-14

Title: Long Term Water Quality Trend Analysis
Description: Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions.
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik Leppo <Erik.Leppo@tetratech.com>

Diff between baytrends versions 1.1.0 dated 2019-03-14 and 1.2.1 dated 2020-03-31

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 baytrends-1.2.1/baytrends/DESCRIPTION                                                           |   48 -
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 baytrends-1.2.1/baytrends/NAMESPACE                                                             |   12 
 baytrends-1.2.1/baytrends/NEWS                                                                  |  349 +++++---
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 baytrends-1.2.1/baytrends/R/closeOut.R                                                          |   13 
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 baytrends-1.2.1/baytrends/R/findFile.R                                                          |    5 
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 baytrends-1.2.1/baytrends/R/qw.export.R                                                         |    4 
 baytrends-1.2.1/baytrends/R/qw.import.R                                                         |    8 
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 baytrends-1.2.1/baytrends/R/smwrBase_isLike.R                                                   |   37 
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 baytrends-1.2.1/baytrends/R/smwrGraphs_timePlot.R                                               |   12 
 baytrends-1.2.1/baytrends/R/smwrGraphs_xyPlot.R                                                 |   12 
 baytrends-1.2.1/baytrends/R/smwrQW_x_dlimit.R                                                   |    2 
 baytrends-1.2.1/baytrends/R/smwrQW_x_importQW.R                                                 |    2 
 baytrends-1.2.1/baytrends/R/smwrQW_x_readNWQLdl.R                                               |    3 
 baytrends-1.2.1/baytrends/R/sysdata.rda                                                         |binary
 baytrends-1.2.1/baytrends/R/zzz.R                                                               |    2 
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More information about baytrends at CRAN
Permanent link

Package vcr updated to version 0.5.4 with previous version 0.5.0 dated 2020-03-03

Title: Record 'HTTP' Calls to Disk
Description: Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Aaron Wolen [ctb] (<https://orcid.org/0000-0003-2542-2202>)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between vcr versions 0.5.0 dated 2020-03-03 and 0.5.4 dated 2020-03-31

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More information about vcr at CRAN
Permanent link

New package statnipokladna with initial version 0.5.6
Package: statnipokladna
Title: Use Data from the Czech Public Finance Database
Version: 0.5.6
Authors@R: person(given = "Petr", family = "Bouchal", role = c("aut", "cre"), email = "pbouchal@gmail.com", comment = c(ORCID = "0000-0002-0471-716X"))
Description: Get programmatic access to data from the Czech public budgeting and accounting database, Státní pokladna <https://monitor.statnipokladna.cz/>.
License: MIT + file LICENSE
URL: https://github.com/petrbouchal/statnipokladna
BugReports: https://github.com/petrbouchal/statnipokladna/issues
Depends: R (>= 3.5.0)
Imports: curl (>= 4.3), dplyr (>= 0.8.3), httr (>= 1.4.1), jsonlite, lifecycle, lubridate (>= 1.7.4), magrittr, purrr (>= 0.3.2), readr (>= 1.3.1), rlang (>= 0.4.0), stringi (>= 1.4.3), stringr (>= 1.4.0), tibble (>= 2.1.3), tidyr (>= 1.0.0), usethis (>= 1.5.1), utils (>= 3.6.0), xml2 (>= 1.2.2)
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
Language: en
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-31 14:18:43 UTC; petr
Author: Petr Bouchal [aut, cre] (<https://orcid.org/0000-0002-0471-716X>)
Maintainer: Petr Bouchal <pbouchal@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-31 15:10:02 UTC

More information about statnipokladna at CRAN
Permanent link

Package RRphylo updated to version 2.4.4 with previous version 2.4.0 dated 2020-01-16

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

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More information about RRphylo at CRAN
Permanent link

Package quantmod updated to version 0.4.17 with previous version 0.4-16 dated 2020-03-08

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4-16 dated 2020-03-08 and 0.4.17 dated 2020-03-31

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More information about quantmod at CRAN
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Package promotionImpact updated to version 0.1.3 with previous version 0.1.2 dated 2019-06-05

Title: Analysis & Measurement of Promotion Effectiveness
Description: Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).
Author: Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph]
Maintainer: Nahyun Kim <nhkim1302@ncsoft.com>

Diff between promotionImpact versions 0.1.2 dated 2019-06-05 and 0.1.3 dated 2020-03-31

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More information about promotionImpact at CRAN
Permanent link

Package paws updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-15

Title: Amazon Web Services Software Development Kit
Description: Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws versions 0.1.6 dated 2020-01-15 and 0.1.7 dated 2020-03-31

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More information about paws at CRAN
Permanent link

Package packagefinder updated to version 0.2.1 with previous version 0.2.0 dated 2020-03-16

Title: Comfortable Search for R Packages on CRAN Directly from the R Console
Description: Search for R packages on CRAN directly from the R console, based on the packages' titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>

Diff between packagefinder versions 0.2.0 dated 2020-03-16 and 0.2.1 dated 2020-03-31

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More information about packagefinder at CRAN
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Package MEDseq updated to version 1.1.0 with previous version 1.0.1 dated 2019-12-10

Title: Mixtures of Exponential-Distance Models with Covariates
Description: Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2019) <arXiv:1908.07963>. A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics. Sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided.
Author: Keefe Murphy [aut, cre] (<https://orcid.org/0000-0002-7709-3159>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>), Raffaella Piccarreta [ctb], Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>

Diff between MEDseq versions 1.0.1 dated 2019-12-10 and 1.1.0 dated 2020-03-31

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More information about MEDseq at CRAN
Permanent link

Package CUB updated to version 1.1.4 with previous version 1.1.3 dated 2018-11-27

Title: A Class of Mixture Models for Ordinal Data
Description: For ordinal rating data, estimate and test models within the family of CUB models and their extensions (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). Simulation routines, plotting facilities and fitting measures are also provided.
Author: Maria Iannario <maria.iannario@unina.it>, Domenico Piccolo <domenico.piccolo@unina.it>, Rosaria Simone <rosaria.simone@unina.it>
Maintainer: Rosaria Simone <rosaria.simone@unina.it>

Diff between CUB versions 1.1.3 dated 2018-11-27 and 1.1.4 dated 2020-03-31

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 138 files changed, 5553 insertions(+), 6092 deletions(-)

More information about CUB at CRAN
Permanent link

New package aniview with initial version 0.1.0
Package: aniview
Title: Animate Shiny and R Markdown Content when it Comes into View
Version: 0.1.0
Authors@R: c(person(given = "Félix", family = "Luginbuhl", role = c("aut", "cre"), email = "felix.luginbuhl@protonmail.ch") )
Description: Animate Shiny and R Markdown content when it comes into view using 'animate-css' effects thanks to 'jQuery AniView'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: jsonlite, htmltools
Suggests: shiny
URL: https://felixluginbuhl.com/aniview, https://github.com/lgnbhl/aniview
BugReports: https://github.com/lgnbhl/aniview/issues
NeedsCompilation: no
Packaged: 2020-03-31 13:54:51 UTC; Felix
Author: Félix Luginbuhl [aut, cre]
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>
Repository: CRAN
Date/Publication: 2020-03-31 15:20:07 UTC

More information about aniview at CRAN
Permanent link

New package zcurve with initial version 1.0.0
Package: zcurve
Title: An Implementation of Z-Curves
Version: 1.0.0
Authors@R: c( person("František", "Bartoš", email = "f.bartos96@gmail.com", role = c("aut", "cre")), person("Ulrich", "Schimmack", email = "ulrich.schimmack@utoronto.ca", role = c("aut")))
Maintainer: František Bartoš <f.bartos96@gmail.com>
Description: An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the new density and EM version (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>) as well as the original density z-curve (Brunner & Schimmack, 2017, <doi:10.31219/osf.io/wr93f>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: Rcpp (>= 1.0.2), nleqslv, stats, evmix, graphics, Rdpack
LinkingTo: Rcpp
Suggests: spelling
Language: en-US
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2020-03-31 14:18:19 UTC; Frantisek
Author: František Bartoš [aut, cre], Ulrich Schimmack [aut]
Repository: CRAN
Date/Publication: 2020-03-31 15:00:02 UTC

More information about zcurve at CRAN
Permanent link

Package Spbsampling updated to version 1.3.3 with previous version 1.3.2 dated 2020-03-04

Title: Spatially Balanced Sampling
Description: Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.
Author: Francesco Pantalone [aut, cre], Roberto Benedetti [aut], Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>

Diff between Spbsampling versions 1.3.2 dated 2020-03-04 and 1.3.3 dated 2020-03-31

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More information about Spbsampling at CRAN
Permanent link

New package simhelpers with initial version 0.1.0
Package: simhelpers
Type: Package
Title: Helper Functions for Simulation Studies
Version: 0.1.0
Authors@R: c( person(given = "Megha", family = "Joshi", email = "megha.j456@gmail.com", role = c("aut", "cre")), person(given = "James", family = "Pustejovsky", email = "jepusto@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0003-0591-9465")))
Maintainer: Megha Joshi <megha.j456@gmail.com>
Description: Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies. Our derivation and explanation of formulas and our general simulation workflow is closely aligned with the approach described by Morris, White, and Crowther (2019) <DOI: 10.1002/sim.8086>.
URL: https://meghapsimatrix.github.io/simhelpers/index.html
BugReports: https://github.com/meghapsimatrix/simhelpers/issues
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
SystemRequirements: RStudio
Imports: rlang, stats, dplyr, furrr, future, magrittr, utils, purrr, tibble, rstudioapi, Rdpack, tidyr
Suggests: plyr, knitr, rmarkdown, pkgdown, covr, testthat, kableExtra, ggplot2, broom
RdMacros: Rdpack
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-31 14:04:42 UTC; meghajoshi
Author: Megha Joshi [aut, cre], James Pustejovsky [aut] (<https://orcid.org/0000-0003-0591-9465>)
Repository: CRAN
Date/Publication: 2020-03-31 15:00:06 UTC

More information about simhelpers at CRAN
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Package sigminer updated to version 1.0.0 with previous version 0.1.11 dated 2019-05-07

Title: Extract, Analyze and Visualize Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Macintyre, Geoff, et al. (2018) <DOI:10.1038/s41588-018-0179-8>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Xue-Song Liu [aut, ctb] (<https://orcid.org/0000-0002-7736-0077>), Geoffrey Macintyre [ctb], Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between sigminer versions 0.1.11 dated 2019-05-07 and 1.0.0 dated 2020-03-31

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Package powdR updated to version 1.2.0 with previous version 1.1.0 dated 2020-01-10

Title: Full Pattern Summation of X-Ray Powder Diffraction Data
Description: Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
Author: Benjamin Butler [aut, cre], Stephen Hillier [aut], Dylan Beaudette [ctb], Dennis Eberl [ctb]
Maintainer: Benjamin Butler <benjamin.butler@hutton.ac.uk>

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Package getspres updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-28

Title: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
Description: An implementation of SPRE (standardised predicted random-effects) statistics in R to explore heterogeneity in genetic association meta- analyses, as described by Magosi et al. (2019) <doi:10.1093/bioinformatics/btz590>. SPRE statistics are precision weighted residuals that indicate the direction and extent with which individual study-effects in a meta-analysis deviate from the average genetic effect. Overly influential positive outliers have the potential to inflate average genetic effects in a meta-analysis whilst negative outliers might lower or change the direction of effect. See the 'getspres' website for documentation and examples <https://magosil86.github.io/getspres/>.
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>

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Package fs updated to version 1.4.0 with previous version 1.3.2 dated 2020-03-05

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package forecast updated to version 8.12 with previous version 8.11 dated 2020-02-09

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.11 dated 2020-02-09 and 8.12 dated 2020-03-31

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Package biogram updated to version 1.6.3 with previous version 1.6.1 dated 2020-01-08

Title: N-Gram Analysis of Biological Sequences
Description: Tools for extraction and analysis of various n-grams (k-mers) derived from biological sequences (proteins or nucleic acids). Contains QuiPT (quick permutation test) for fast feature-filtering of the n-gram data.
Author: Michal Burdukiewicz [cre, aut] (<https://orcid.org/0000-0001-8926-582X>), Piotr Sobczyk [aut], Chris Lauber [aut], Dominik Rafacz [aut], Katarzyna Sidorczuk [ctb] (<https://orcid.org/0000-0001-6576-9054>)
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>

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Package bcmixed updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-02

Title: Mixed Effect Model with the Box-Cox Transformation
Description: Inference on the marginal model of the mixed effect model with the Box-Cox transformation and on the model median differences between treatment groups for longitudinal randomized clinical trials. These statistical methods are proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.
Author: Kazushi Maruo [aut, cre], Ryota Ishii [aut], Yusuke Yamaguchi [ctb], Masahiko Gosho [ctb]
Maintainer: Kazushi Maruo <kazushi.maruo@gmail.com>

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New package sqp with initial version 0.5
Package: sqp
Type: Package
Title: (Sequential) Quadratic Programming
Version: 0.5
Date: 2020-03-25
Author: Simon Lenau
Maintainer: Simon Lenau <lenau@uni-trier.de>
Description: Solving procedures for quadratic programming with optional equality and inequality constraints, which can be used for by sequential quadratic programming (SQP). Similar to Newton-Raphson methods in the unconstrained case, sequential quadratic programming solves non-linear constrained optimization problems by iteratively solving linear approximations of the optimality conditions of such a problem (cf. Powell (1978) <doi:10.1007/BFb0067703>; Nocedal and Wright (1999, ISBN: 978-0-387-98793-4)). The Hessian matrix in this strategy is commonly approximated by the BFGS method in its damped modification proposed by Powell (1978) <doi:10.1007/BFb0067703>. All methods are implemented in C++ as header-only library, such that it is easy to use in other packages.
License: GPL-3
Imports: Rcpp (>= 1.0.0), Matrix, Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
SystemRequirements: C++11, GNU Make
NeedsCompilation: yes
Packaged: 2020-03-31 11:08:34 UTC; Administrator
RdMacros: Rdpack
Encoding: UTF-8
RoxygenNote: 7.1.0
Repository: CRAN
Date/Publication: 2020-03-31 13:20:02 UTC

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Package slga updated to version 1.1.1 with previous version 1.1.0 dated 2019-08-05

Title: Data Access Tools for the Soil and Landscape Grid of Australia
Description: Provides access to soil and landscape grid of Australia raster datasets via existing open geospatial consortium web coverage services. See <https://www.csiro.au/soil-and-landscape-grid>.
Author: Lauren O'Brien [aut, cre] (<https://orcid.org/0000-0002-7336-2171>), Ross Searle [ant] (<https://orcid.org/0000-0003-0256-1496>)
Maintainer: Lauren O'Brien <obrlsoilau@gmail.com>

Diff between slga versions 1.1.0 dated 2019-08-05 and 1.1.1 dated 2020-03-31

 DESCRIPTION                          |   22 ++--
 MD5                                  |   86 ++++++++---------
 NEWS.md                              |    7 +
 R/aoi_processing.R                   |   27 ++---
 R/data.R                             |    4 
 R/raster_processing.R                |    6 -
 R/slga.R                             |    2 
 R/url_generate.R                     |    6 -
 README.md                            |   18 ++-
 build/vignette.rds                   |binary
 inst/doc/slga.R                      |   23 ++--
 inst/doc/slga.Rmd                    |    7 -
 inst/doc/slga.html                   |   23 +---
 man/aoi_align.Rd                     |   44 ++++----
 man/aoi_convert.Rd                   |   74 +++++++-------
 man/aoi_overlaps.Rd                  |   48 ++++-----
 man/aoi_tile.Rd                      |   44 ++++----
 man/aoi_transform.Rd                 |   62 ++++++------
 man/bne_surface_clay.Rd              |   62 ++++++------
 man/check_avail.Rd                   |   52 +++++-----
 man/figures/README-dplot-1.png       |binary
 man/get_lscape_data.Rd               |  105 ++++++++++-----------
 man/get_lscape_point.Rd              |  107 +++++++++++----------
 man/get_slga_data.Rd                 |   46 ++++-----
 man/get_soils_data.Rd                |  175 ++++++++++++++++++-----------------
 man/get_soils_point.Rd               |  161 ++++++++++++++++----------------
 man/get_soils_raster.Rd              |   92 +++++++++---------
 man/make_circ_mask.Rd                |  106 ++++++++++-----------
 man/make_lscape_url.Rd               |   52 +++++-----
 man/make_point_url.Rd                |   50 +++++-----
 man/make_soils_url.Rd                |   72 +++++++-------
 man/metadata_lscape.Rd               |   66 ++++++-------
 man/metadata_soils.Rd                |   98 ++++++++++---------
 man/slga-package.Rd                  |   58 +++++------
 man/slga_attribute_info.Rd           |   60 ++++++------
 man/slga_filenamer.Rd                |   60 ++++++------
 man/slga_product_info.Rd             |   82 ++++++++--------
 man/tidy_lscape_data.Rd              |   53 +++++-----
 man/tidy_soils_data.Rd               |   42 ++++----
 man/validate_aoi.Rd                  |   46 ++++-----
 man/validate_poi.Rd                  |   80 ++++++++--------
 tests/testthat/test_aoi_processing.R |    2 
 tests/testthat/test_url_generator.R  |   24 ++--
 vignettes/slga.Rmd                   |    7 -
 44 files changed, 1151 insertions(+), 1110 deletions(-)

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Package irace updated to version 3.4.1 with previous version 3.4 dated 2020-03-30

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Jérémie Dubois-Lacoste [aut], Leslie Pérez Cáceres [aut], Thomas Stützle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between irace versions 3.4 dated 2020-03-30 and 3.4.1 dated 2020-03-31

 irace-3.4.1/irace/DESCRIPTION                             |   11 
 irace-3.4.1/irace/MD5                                     |   30 -
 irace-3.4.1/irace/NEWS.md                                 |only
 irace-3.4.1/irace/R/main.R                                |    4 
 irace-3.4.1/irace/R/parameterAnalysis.R                   |    2 
 irace-3.4.1/irace/R/version.R                             |    2 
 irace-3.4.1/irace/README.md                               |   26 -
 irace-3.4.1/irace/build/partial.rdb                       |binary
 irace-3.4.1/irace/inst/doc/irace-package.pdf              |binary
 irace-3.4.1/irace/src/Makevars                            |    4 
 irace-3.4.1/irace/src/Makevars.win                        |    4 
 irace-3.4.1/irace/tests/testthat/saved_maxim_bug.rds      |binary
 irace-3.4.1/irace/tests/testthat/saved_maxim_bug2.rds     |binary
 irace-3.4.1/irace/tests/testthat/test-GenericWrapper4AC.R |    5 
 irace-3.4.1/irace/tests/testthat/test-bugs.R              |   66 +--
 irace-3.4.1/irace/vignettes/NEWS.txt                      |  250 +++++++-------
 irace-3.4/irace/NEWS                                      |only
 17 files changed, 210 insertions(+), 194 deletions(-)

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Package gtools updated to version 3.8.2 with previous version 3.8.1 dated 2018-06-26

Title: Various R Programming Tools
Description: Functions to assist in R programming, including: - assist in developing, updating, and maintaining R and R packages ('ask', 'checkRVersion', 'getDependencies', 'keywords', 'scat'), - calculate the logit and inverse logit transformations ('logit', 'inv.logit'), - test if a value is missing, empty or contains only NA and NULL values ('invalid'), - manipulate R's .Last function ('addLast'), - define macros ('defmacro'), - detect odd and even integers ('odd', 'even'), - convert strings containing non-ASCII characters (like single quotes) to plain ASCII ('ASCIIfy'), - perform a binary search ('binsearch'), - sort strings containing both numeric and character components ('mixedsort'), - create a factor variable from the quantiles of a continuous variable ('quantcut'), - enumerate permutations and combinations ('combinations', 'permutation'), - calculate and convert between fold-change and log-ratio ('foldchange', 'logratio2foldchange', 'foldchange2logratio'), - calculate probabilities and generate random numbers from Dirichlet distributions ('rdirichlet', 'ddirichlet'), - apply a function over adjacent subsets of a vector ('running'), - modify the TCP\_NODELAY ('de-Nagle') flag for socket objects, - efficient 'rbind' of data frames, even if the column names don't match ('smartbind'), - generate significance stars from p-values ('stars.pval'), - convert characters to/from ASCII codes ('asc', 'chr'), - convert character vector to ASCII representation ('ASCIIfy').
Author: Gregory R. Warnes, Ben Bolker, and Thomas Lumley
Maintainer: Gregory R. Warnes <greg@warnes.net>

Diff between gtools versions 3.8.1 dated 2018-06-26 and 3.8.2 dated 2020-03-31

 gtools-3.8.1/gtools/R/RSCompat.S               |only
 gtools-3.8.1/gtools/R/newVersionAvailable.R    |only
 gtools-3.8.2/gtools/DESCRIPTION                |   11 +
 gtools-3.8.2/gtools/MD5                        |   86 ++++++-------
 gtools-3.8.2/gtools/NEWS                       |    5 
 gtools-3.8.2/gtools/R/combinations.R           |   29 ++--
 gtools-3.8.2/gtools/R/defmacro.R               |    8 -
 gtools-3.8.2/gtools/R/dirichlet.R              |    2 
 gtools-3.8.2/gtools/R/foldchange.R             |    2 
 gtools-3.8.2/gtools/R/invalid.R                |    2 
 gtools-3.8.2/gtools/R/logit.R                  |    4 
 gtools-3.8.2/gtools/R/oddeven.R                |    4 
 gtools-3.8.2/gtools/R/permute.R                |    2 
 gtools-3.8.2/gtools/R/quantcut.R               |   12 -
 gtools-3.8.2/gtools/R/running.R                |    2 
 gtools-3.8.2/gtools/R/scat.R                   |    3 
 gtools-3.8.2/gtools/inst                       |only
 gtools-3.8.2/gtools/man/ELISA.Rd               |    6 
 gtools-3.8.2/gtools/man/asc.Rd                 |    2 
 gtools-3.8.2/gtools/man/ask.Rd                 |    6 
 gtools-3.8.2/gtools/man/badDend.Rd             |    6 
 gtools-3.8.2/gtools/man/baseOf.Rd              |    2 
 gtools-3.8.2/gtools/man/checkRVersion.Rd       |    2 
 gtools-3.8.2/gtools/man/combinations.Rd        |    2 
 gtools-3.8.2/gtools/man/defmacro.Rd            |    2 
 gtools-3.8.2/gtools/man/dirichlet.Rd           |    5 
 gtools-3.8.2/gtools/man/foldchange.Rd          |    4 
 gtools-3.8.2/gtools/man/getDependencies.Rd     |  162 ++++++++++++-------------
 gtools-3.8.2/gtools/man/gtools-defunct.Rd      |    2 
 gtools-3.8.2/gtools/man/invalid.Rd             |    4 
 gtools-3.8.2/gtools/man/lastAdd.Rd             |    2 
 gtools-3.8.2/gtools/man/logit.Rd               |   12 -
 gtools-3.8.2/gtools/man/mixedsort.Rd           |    4 
 gtools-3.8.2/gtools/man/na.replace.Rd          |    4 
 gtools-3.8.2/gtools/man/oddeven.Rd             |    2 
 gtools-3.8.2/gtools/man/permute.Rd             |    2 
 gtools-3.8.2/gtools/man/quantcut.Rd            |    6 
 gtools-3.8.2/gtools/man/roman2int.Rd           |    2 
 gtools-3.8.2/gtools/man/running.Rd             |    4 
 gtools-3.8.2/gtools/man/scat.Rd                |    4 
 gtools-3.8.2/gtools/man/setTCPNoDelay.Rd       |    4 
 gtools-3.8.2/gtools/man/split_path.Rd          |    4 
 gtools-3.8.2/gtools/man/unByteCode.Rd          |    4 
 gtools-3.8.2/gtools/tests/test_mixedorder.R    |    2 
 gtools-3.8.2/gtools/tests/test_setTCPNoDelay.R |    7 -
 45 files changed, 209 insertions(+), 231 deletions(-)

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New package changepoint.geo with initial version 1.0.1
Package: changepoint.geo
Type: Package
Title: Geometrically Inspired Multivariate Changepoint Detection
Version: 1.0.1
Date: 2020-03-29
Authors@R: c(person("Thomas","Grundy",role=c("aut","cre"),email="t.grundy1@lancaster.ac.uk"), person("Rebecca","Killick",role="ths"))
Maintainer: Thomas Grundy <t.grundy1@lancaster.ac.uk>
URL: https://github.com/grundy95/changepoint.geo/
Description: Implements the high-dimensional changepoint detection method GeomCP and the related mappings used for changepoint detection. These methods view the changepoint problem from a geometrical viewpoint and aim to extract relevant geometrical features in order to detect changepoints. The geomcp() function should be your first point of call. References: Grundy et al. (2020) <doi:10.1007/s11222-020-09940-y>.
Depends: R(>= 3.6), changepoint, changepoint.np, methods, ggplot2
Imports: Rdpack
RdMacros: Rdpack
Suggests: testthat, MASS
License: GPL
LazyLoad: yes
NeedsCompilation: no
Packaged: 2020-03-31 12:24:16 UTC; grundy
Author: Thomas Grundy [aut, cre], Rebecca Killick [ths]
Repository: CRAN
Date/Publication: 2020-03-31 13:40:07 UTC

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New package vader with initial version 0.0.1
Package: vader
Title: Valence Aware Dictionary and sEntiment Reasoner (VADER)
Version: 0.0.1
Authors@R: person(given = "Katherine", family = "Roehrick", role = c("aut", "cre"), email = "kr.gitcode@gmail.com")
Description: A lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. Hutto & Gilbert (2014) (<https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109/8122>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: tm
Depends: R (>= 2.10)
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-03-31 06:04:21 UTC; kr
Author: Katherine Roehrick [aut, cre]
Maintainer: Katherine Roehrick <kr.gitcode@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-31 12:50:02 UTC

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New package SpatialRoMLE with initial version 0.1.0
Package: SpatialRoMLE
Type: Package
Title: Robust Maximum Likelihood Estimation for Spatial Error Model
Version: 0.1.0
Authors@R: c(person("Vural","Yildirim", role=c("aut", "cre"), email="vurall_yildirim@hotmail.com", comment = c(ORCID = "0000-0002-6517-7849")), person("Yeliz","Mert Kantar",role=c("aut", "ths"), comment = c(ORCID = "0000-0001-7101-8943")))
Maintainer: Vural Yildirim <vurall_yildirim@hotmail.com>
Description: Provides robust estimation for spatial error model to presence of outliers in the residuals. The classical estimation methods can be influenced by the presence of outliers in the data. We proposed a robust estimation approach based on the robustified likelihood equations for spatial error model (Vural Yildirim & Yeliz Mert Kantar (2020): Robust estimation approach for spatial error model, Journal of Statistical Computation and Simulation, <doi:10.1080/00949655.2020.1740223>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-03-31 11:18:02 UTC; VURAL YILDIRIM
Author: Vural Yildirim [aut, cre] (<https://orcid.org/0000-0002-6517-7849>), Yeliz Mert Kantar [aut, ths] (<https://orcid.org/0000-0001-7101-8943>)
Repository: CRAN
Date/Publication: 2020-03-31 12:50:05 UTC

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New package ReDaMoR with initial version 0.4.2
Package: ReDaMoR
Type: Package
Title: Relational Data Modeler
Version: 0.4.2
Author: Patrice Godard
Maintainer: Patrice Godard <patrice.godard@gmail.com>
Description: The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.
URL: https://github.com/patzaw/ReDaMoR
BugReports: https://github.com/patzaw/ReDaMoR/issues
Depends: R (>= 3.5), dplyr, magrittr, visNetwork
Imports: readr, shiny, shinyjs, jsonlite, DT, colourpicker, rintrojs, markdown, rstudioapi, crayon, igraph, utils, graphics, stats
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-31 05:06:56 UTC; pgodard
Repository: CRAN
Date/Publication: 2020-03-31 12:50:08 UTC

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New package mlr3shiny with initial version 0.1.1
Package: mlr3shiny
Title: Machine Learning in 'shiny' with 'mlr3'
Version: 0.1.1
Authors@R: c(person(given = "Laurens", family = "Tetzlaff", role = c("aut", "cre"), email = "laurens.tetzlaff@outlook.de"), person(given = "Gero", family = "Szepannek", role = "aut", email = "gero.szepannek@web.de"))
Description: A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: mlr3 (>= 0.1.6), mlr3measures (>= 0.1.1), mlr3learners, shiny, shinythemes, shinydashboard, shinyjs, shinyWidgets, shinyalert, data.table (>= 1.12.8), DT (>= 0.11), readxl, stringr, plyr, purrr, ranger, e1071, stats
LazyData: true
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), shinytest, devtools
NeedsCompilation: no
Packaged: 2020-03-30 15:01:55 UTC; laurens
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff@outlook.de>
Repository: CRAN
Date/Publication: 2020-03-31 10:30:02 UTC

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New package legco with initial version 0.1.3
Package: legco
Type: Package
Title: Accessing Hong Kong Legislative Council API
Version: 0.1.3
Author: Elgar Teo
Maintainer: Elgar Teo <elgarteo@connect.hku.hk>
URL: https://github.com/elgarteo/legco
BugReports: https://github.com/elgarteo/legco/issues
Description: Fetching data from Hong Kong Legislative Council's open data API in R. Functions correspond to the data endpoints of the API. Documentations of supported API databases: <https://www.legco.gov.hk/odata/english/billsdb.html>, <https://www.legco.gov.hk/odata/english/hansard-db.html>, <https://www.legco.gov.hk/odata/english/attendance-db.html>, <https://www.legco.gov.hk/odata/english/schedule-db.html> and <https://www.legco.gov.hk/odata/english/vrdb.html>.
Imports: httr, jsonlite, utils
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R(>= 3.5.0)
LazyData: true
RoxygenNote: 7.1.0
Suggests: curl, httptest, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 17:16:13 UTC; Elgar
Repository: CRAN
Date/Publication: 2020-03-31 10:40:02 UTC

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New package gt with initial version 0.2.0.5
Type: Package
Package: gt
Version: 0.2.0.5
Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data using with an easy-to-use API. With its progressive approach, we can construct display tables with a clear separation of concerns: you don't have to decide how the tabular data gets transformed and structured whilst also worrying about aesthetics.
Authors@R: c( person("Richard", "Iannone", , "rich@rstudio.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-3925-190X")), person("Joe", "Cheng", , "joe@rstudio.com", "aut"), person("Barret", "Schloerke", , "barret@rstudio.com", "aut", comment = c(ORCID = "0000-0001-9986-114X")), person("RStudio", role = c("cph", "fnd")) )
License: MIT + file LICENSE
URL: https://github.com/rstudio/gt
BugReports: https://github.com/rstudio/gt/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 7.1.0
Depends: R (>= 3.2.0)
Imports: checkmate (>= 2.0.0), commonmark (>= 1.7), dplyr (>= 0.8.5), fs (>= 1.3.2), ggplot2 (>= 3.3.0), glue (>= 1.3.2), htmltools (>= 0.4.0), magrittr (>= 1.5), rlang (>= 0.4.5), sass (>= 0.1.1), scales (>= 1.1.0), stringr (>= 1.3.1), tibble (>= 3.0.0), tidyselect (>= 1.0.0)
Suggests: knitr, paletteer, testthat (>= 2.1.0), RColorBrewer, rmarkdown, rvest, shiny, tidyr, webshot, xml2
Collate: 'as_data_frame.R' 'base64.R' 'build_data.R' 'compile_scss.R' 'data_color.R' 'datasets.R' 'dt__.R' 'dt_body.R' 'dt_boxhead.R' 'dt_cols_merge.R' 'dt_data.R' 'dt_footnotes.R' 'dt_formats.R' 'dt_groups_rows.R' 'dt_has_built.R' 'dt_heading.R' 'dt_options.R' 'dt_row_groups.R' 'dt_source_notes.R' 'dt_spanners.R' 'dt_stub_df.R' 'dt_stub_others.R' 'dt_stubhead.R' 'dt_styles.R' 'dt_summary.R' 'dt_transforms.R' 'export.R' 'format_data.R' 'gt-package.R' 'gt.R' 'gt_preview.R' 'helpers.R' 'image.R' 'info_tables.R' 'location_methods.R' 'modify_columns.R' 'modify_rows.R' 'tab_create_modify.R' 'opts.R' 'print.R' 'reexports.R' 'render_as_html.R' 'resolver.R' 'shiny.R' 'summary_rows.R' 'text_transform.R' 'utils.R' 'utils_formatters.R' 'utils_general_str_formatting.R' 'utils_pipe.R' 'utils_render_common.R' 'utils_render_footnotes.R' 'utils_render_html.R' 'utils_render_latex.R' 'utils_render_rtf.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2020-03-31 04:35:21 UTC; rich
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Joe Cheng [aut], Barret Schloerke [aut] (<https://orcid.org/0000-0001-9986-114X>), RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>
Repository: CRAN
Date/Publication: 2020-03-31 10:10:02 UTC

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New package cognitoR with initial version 0.1.0
Package: cognitoR
Type: Package
Title: Authentication for 'Shiny' Apps with 'Amazon Cognito'
Version: 0.1.0
Authors@R: c( person("Pablo", "Pagnone", role = c("aut", "cre"), email = "pablodp84@gmail.com") )
Description: Provides authentication for Shiny applications using 'Amazon Cognito' ( <https://aws.amazon.com/es/cognito/>).
Imports: shiny, yaml, config, shinyjs, httr, dplyr, base64enc, jsonlite
License: GPL-3
BugReports: https://github.com/chi2labs/cognitoR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 17:58:32 UTC; pablo
Author: Pablo Pagnone [aut, cre]
Maintainer: Pablo Pagnone <pablodp84@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-31 10:40:06 UTC

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New package celltrackR with initial version 0.3.1
Package: celltrackR
Type: Package
Title: Motion Trajectory Analysis
Date: 2020-03-30
Version: 0.3.1
Authors@R: c(person("Johannes", "Textor", role = c("aut", "cre"), email = "johannes.textor@gmx.de"), person("Katharina", "Dannenberg", role = "aut"), person("Jeffrey", "Berry", role = "aut" ), person("Gerhard", "Burger", role = "aut"), person("Inge", "Wortel", role = "aut", email = "ingewortel@gmail.com"))
Author: Johannes Textor [aut, cre], Katharina Dannenberg [aut], Jeffrey Berry [aut], Gerhard Burger [aut], Inge Wortel [aut]
Maintainer: Johannes Textor <johannes.textor@gmx.de>
Description: Provides methodology to analyze cells that move in a two- or three-dimensional space. Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length. While the methodology has been developed for cell trajectory analysis, it is applicable to anything that moves including animals, people, or vehicles. Some of the methodology implemented in this packages was described by: Beauchemin, Dixit, and Perelson (2007) <doi:10.4049/jimmunol.178.9.5505>, Beltman, Maree, and de Boer (2009) <doi:10.1038/nri2638>, Gneiting and Schlather (2004) <doi:10.1137/S0036144501394387>, Mokhtari, Mech, Zitzmann, Hasenberg, Gunzer, and Figge (2013) <doi:10.1371/journal.pone.0080808>, Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012) <doi:10.1016/j.immuni.2012.05.014>, Textor, Peixoto, Henrickson, Sinn, von Andrian, and Westermann (2011) <doi:10.1073/pnas.1102288108>, Textor, Sinn, and de Boer (2013) <doi:10.1186/1471-2105-14-S6-S10>, Textor, Henrickson, Mandl, von Andrian, Westermann, de Boer, and Beltman (2014) <doi:10.1371/journal.pcbi.1003752>.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: http://www.motilitylab.net
Imports: stats, grDevices, graphics, utils, ellipse
Suggests: pracma, scatterplot3d, fractaldim, testthat, wordspace, knitr, rmarkdown, uwot, dendextend, ggplot2, ggbeeswarm, gridExtra
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 13:48:09 UTC; ingewortel
Repository: CRAN
Date/Publication: 2020-03-31 10:30:05 UTC

More information about celltrackR at CRAN
Permanent link

New package spsurv with initial version 1.0.0
Package: spsurv
Type: Package
Title: Bernstein Polynomial Based Semiparametric Survival Analysis
Version: 1.0.0
Authors@R: c(person(given = "Renato", family = "Panaro", role = c("aut", "cre"), email = "renatovp@ime.usp.br", comment = c(ORCID = "0000-0002-1903-2091", URL= "https://rvpanaro.github.io/")), person(given = "Fábio", family = "Demarqui", role = "aut", email = "fndemarqui@gmail.com", comment = c(ORCID = "0000-0001-9236-1986")), person(given = "Vinícius", family = "Mayrink", role = "aut", email = "vdinizm@gmail.com", comment = c(ORCID = "0000-0002-5683-8326")))
Maintainer: Renato Panaro <renatovp@ime.usp.br>
Description: A set of reliable routines to ease semiparametric survival regression modeling based on Bernstein polynomials. 'spsurv' includes proportional hazards, proportional odds and accelerated failure time frameworks for right-censored data. RV Panaro (2020) <arXiv:2003.10548>.
License: GPL-3
Biarch: true
Depends: R (>= 3.5.0), survival (>= 2.44-1.1), loo (>= 2.1.0), coda (>= 0.19-3), MASS (>= 7.3-51.4)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 1.5.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: knitr, devtools, roxygen2, testthat, KMsurv
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make
BugReports: https://github.com/rvpanaro/spsurv/issues
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-03-30 19:45:20 UTC; renato
Author: Renato Panaro [aut, cre] (<https://orcid.org/0000-0002-1903-2091>, https://rvpanaro.github.io/), Fábio Demarqui [aut] (<https://orcid.org/0000-0001-9236-1986>), Vinícius Mayrink [aut] (<https://orcid.org/0000-0002-5683-8326>)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:02 UTC

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New package RTCC with initial version 0.1.0
Package: RTCC
Type: Package
Title: Detecting Trait Clustering in Environmental Gradients
Version: 0.1.0
Author: Mateu Menendez-Serra, Vicente J. Ontiveros, Emilio O. Casamayor, David Alonso
Maintainer: Mateu Menendez-Serra <mateu.menendez@ceab.csic.es>
Description: The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, <doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: matrixStats, vegan, Rcpp
Suggests: testthat, knitr, rmarkdown
LinkingTo: testthat, Rcpp
NeedsCompilation: yes
Packaged: 2020-03-30 20:04:42 UTC; macbookair
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:13 UTC

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New package mStats with initial version 3.2.2
Package: mStats
Type: Package
Title: Epidemiological Data Analysis
Version: 3.2.2
Authors@R: c(person(given = "Myo Minn", family = "Oo", role = c("aut", "cre"), email = "dr.myominnoo@gmail.com", comment = c(ORCID = "0000-0003-4089-016X")))
Maintainer: Myo Minn Oo <dr.myominnoo@gmail.com>
Description: This is a tool for epidemiologist, medical data analyst, medical or public health professionals. It contains three domains of functions: functions for 1) data management, 2) statistical analysis and 3) calculating epidemiological measures. The calculations are mainly based on three books, 1) Betty R. K, (2006, ISBN:978–0–86542–871–3), 2) B. Burt Gerstman (2013, ISBN:978-1-4443-3608-5) and 3) Douglas G Altman (2005, ISBN:0 7279 1375 1).
License: GPL-2 | GPL-3
URL: https://myominnoo.github.io/
BugReports: https://github.com/myominnoo/mStats/issues
Depends: R (>= 3.0.0)
Imports: stats, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-03-30 18:34:29 UTC; drmyo
Author: Myo Minn Oo [aut, cre] (<https://orcid.org/0000-0003-4089-016X>)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:09 UTC

More information about mStats at CRAN
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Package mkin updated to version 0.9.49.9 with previous version 0.9.49.8 dated 2020-01-09

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>

Diff between mkin versions 0.9.49.8 dated 2020-01-09 and 0.9.49.9 dated 2020-03-31

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New package miselect with initial version 0.9.0
Package: miselect
Title: Variable Selection for Multiply Imputed Data
Version: 0.9.0
Authors@R: c( person("Alexander", "Rix", email = "alexrix@umich.edu", role = c("aut", "cre")), person("Jiacong", "Du", email = "jiacong@umich.edu", role = "aut") )
Description: Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is desired. However, missing data complicates the implementation of these methods, particularly when missingness is handled using multiple imputation. Applying a variable selection algorithm on each imputed dataset will likely lead to different sets of selected predictors, making it difficult to ascertain a final active set without resorting to ad hoc combination rules. 'miselect' presents Stacked Adaptive Elastic Net (saenet) and Grouped Adaptive LASSO (galasso) for continuous and binary outcomes, developed by Du et al (2020), currently under review. They, by construction, force selection of the same variables across multiply imputed data. 'miselect' also provides cross validated variants of these methods.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.5.0)
Suggests: mice, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 17:02:07 UTC; alex
Author: Alexander Rix [aut, cre], Jiacong Du [aut]
Maintainer: Alexander Rix <alexrix@umich.edu>
Repository: CRAN
Date/Publication: 2020-03-31 10:00:06 UTC

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New package crmReg with initial version 1.0.0
Package: crmReg
Type: Package
Title: Cellwise Robust M-Regression and SPADIMO
Version: 1.0.0
Authors@R: c( person(given = "Peter", family = "Filzmoser", role = c("aut")), person(given = "Sebastiaan", family = "Hoppner", role = c("aut", "cre"), email = "sebastiaan.hoppner@kuleuven.be"), person(given = "Irene", family = "Ortner", role = c("aut")), person(given = "Sven", family = "Serneels", role = c("aut")), person(given = "Tim", family = "Verdonck", role = c("aut")) )
Description: Method for fitting a cellwise robust linear M-regression model (CRM, Filzmoser et al. (2020) <DOI:10.1016/j.csda.2020.106944>) that yields both a map of cellwise outliers consistent with the linear model, and a vector of regression coefficients that is robust against vertical outliers and leverage points. As a by-product, the method yields an imputed data set that contains estimates of what the values in cellwise outliers would need to amount to if they had fit the model. The package also provides diagnostic tools for analyzing casewise and cellwise outliers using sparse directions of maximal outlyingness (SPADIMO, Debruyne et al. (2019) <DOI:10.1007/s11222-018-9831-5>).
Depends: R (>= 3.5.0)
Imports: FNN, ggplot2, gplots, pcaPP, plyr, robustbase, rrcov
License: GPL (>= 2)
Author: Peter Filzmoser [aut], Sebastiaan Hoppner [aut, cre], Irene Ortner [aut], Sven Serneels [aut], Tim Verdonck [aut]
Maintainer: Sebastiaan Hoppner <sebastiaan.hoppner@kuleuven.be>
LazyLoad: yes
Encoding: UTF-8
LazyData: false
NeedsCompilation: yes
RoxygenNote: 6.1.1
Packaged: 2020-03-30 20:35:23 UTC; Sebastiaan
Repository: CRAN
Date/Publication: 2020-03-31 09:50:08 UTC

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New package Clustering with initial version 1.0
Package: Clustering
Version: 1.0
Date: 2020-03-26
Title: Execution of Multiple Clustering Packages
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
Depends: R (>= 3.3.0)
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
License: GPL (>= 2)
Type: Package
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.0
Repository: CRAN
Imports: apcluster, cluster, ClusterR, advclust, pvclust, gama, amap, stats, pracma, tools, gmp, utils, xtable, sqldf, data.table
NeedsCompilation: no
Packaged: 2020-03-30 16:42:30 UTC; luis
Date/Publication: 2020-03-31 09:50:15 UTC

More information about Clustering at CRAN
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Package apexcharter updated to version 0.1.4 with previous version 0.1.3 dated 2019-11-27

Title: Create Interactive Chart with the JavaScript 'ApexCharts' Library
Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Juned Chhipa [cph] (apexcharts.js library), Mike Bostock [cph] (d3.format library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package meteoland updated to version 0.9.2 with previous version 0.8.3 dated 2019-11-05

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between meteoland versions 0.8.3 dated 2019-11-05 and 0.9.2 dated 2020-03-31

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More information about meteoland at CRAN
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Package xaringan updated to version 0.16 with previous version 0.15 dated 2020-03-04

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>), Benjie Gillam [ctb], Claus Thorn Ekstrøm [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] (<https://orcid.org/0000-0002-7111-0077>), Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>), John Little [ctb], Joseph Casillas [ctb], Lucy D'Agostino McGowan [ctb] (<https://orcid.org/0000-0001-7297-9359>), Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Matthew Mark Strasiotto [ctb] (mstr3336), Michael Wayne Kearney [ctb], Nan-Hung Hsieh [ctb], Ole Petter Bang [ctb] (CSS in rmarkdown/templates/xaringan/resources/default.css), Patrick Schratz [ctb], Paul Klemm [ctb] (<https://orcid.org/0000-0002-5985-1737>), Paul Lemmens [ctb], Sean Lopp [ctb], Yongfu Liao [ctb], Yue Jiang [ctb] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xaringan versions 0.15 dated 2020-03-04 and 0.16 dated 2020-03-31

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 xaringan-0.16/xaringan/DESCRIPTION                                                   |    6 +-
 xaringan-0.16/xaringan/MD5                                                           |   12 ++---
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 xaringan-0.16/xaringan/tests/test-all.R                                              |    1 
 xaringan-0.16/xaringan/tests/test2                                                   |only
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More information about xaringan at CRAN
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Package tinytex updated to version 0.21 with previous version 0.20 dated 2020-02-25

Title: Helper Functions to Install and Maintain 'TeX Live', and Compile 'LaTeX' Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), RStudio, PBC [cph], Fernando Cagua [ctb], Ethan Heinzen [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between tinytex versions 0.20 dated 2020-02-25 and 0.21 dated 2020-03-31

 DESCRIPTION |    8 ++++----
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