Wed, 20 May 2020

Package MIMSunit updated to version 0.9.1 with previous version 0.9.0 dated 2020-04-25

Title: Algorithm to Compute Monitor Independent Movement Summary Unit (MIMS-Unit)
Description: The MIMS-unit algorithm is developed to compute Monitor Independent Movement Summary Unit, a measurement to summarize raw accelerometer data while ensuring harmonized results across different devices. It also includes scripts to reproduce results in the related publication (John, D., Tang. Q., Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).
Author: Qu Tang [aut, cre] (<https://orcid.org/0000-0001-5415-0205>), Dinesh John [aut], Stephen Intille [aut], mHealth Research Group [cph] (https://mhealthgroup.org)
Maintainer: Qu Tang <tang.q@northeastern.edu>

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Package mdapack updated to version 0.0.2 with previous version 0.0.1 dated 2020-03-14

Title: Medical Data Analysis Pack
Description: An implementation of functions for medical data analysis which perform basic data pre processing, univariate and bivariate analysis.Kirkwood et al. (2003) <doi:10.1002/sim.1961>.
Author: Henry Nanji [aut, cre], Saisakul Chernbumroong [aut]
Maintainer: Henry Nanji <henry.nanji@nottingham.ac.uk>

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Package crochet updated to version 2.3.0 with previous version 2.2.0 dated 2019-06-13

Title: Implementation Helper for '[' and '[<-' of Custom Matrix-Like Types
Description: Functions to help implement the extraction / subsetting / indexing function '[' and replacement function '[<-' of custom matrix-like types (based on S3, S4, etc.), modeled as closely to the base matrix class as possible (with tests to prove it).
Author: Alexander Grueneberg [aut, cre]
Maintainer: Alexander Grueneberg <cran@agrueneberg.info>

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Package bestNormalize updated to version 1.6.0 with previous version 1.5.0 dated 2020-04-18

Title: Normalizing Transformation Functions
Description: Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ). ORQ normalization combines a rank-mapping approach with a shifted logit approximation that allows the transformation to work on data outside the original domain. It is also able to handle new data within the original domain via linear interpolation. The package is built to estimate the best normalizing transformation for a vector consistently and accurately. It implements the Box-Cox transformation, the Yeo-Johnson transformation, three types of Lambert WxF transformations, and the ordered quantile normalization transformation. It also estimates the normalization efficacy of other commonly used transformations, and finally it allows users to specify custom transformations or normalization statistics.
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

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Package ggraph updated to version 2.0.3 with previous version 2.0.2 dated 2020-03-17

Title: An Implementation of Grammar of Graphics for Graphs and Networks
Description: The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package emplik updated to version 1.1-1 with previous version 1.0-4.3 dated 2018-08-17

Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. Now does regression too. This version contains some C code.
Author: Mai Zhou. (Art Owen for el.test(). Yifan Yang for some C code.)
Maintainer: Mai Zhou <mai@ms.uky.edu>

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Package SimBIID updated to version 0.2.0 with previous version 0.1.4 dated 2020-03-03

Title: Simulation-Based Inference Methods for Infectious Disease Models
Description: Provides some code to run simulations of state-space models, and then use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) algorithm of Toni et al. (2009) <doi:10.1098/rsif.2008.0172> and a bootstrap particle filter based particle Markov chain Monte Carlo (PMCMC) algorithm (Andrieu et al., 2010 <doi:10.1111/j.1467-9868.2009.00736.x>). Also provides functions to plot and summarise the outputs.
Author: Trevelyan J. McKinley [aut, cre], Stefan Widgren [aut] (Author of 'R/mparse.R'), Pavol Bauer [cph] (R/mparse.R), Robin Eriksson [cph] (R/mparse.R), Stefan Engblom [cph] (R/mparse.R)
Maintainer: Trevelyan J. McKinley <t.mckinley@exeter.ac.uk>

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Package mscstts updated to version 0.5.4 with previous version 0.5.3 dated 2020-04-08

Title: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API
Description: R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API, including voice synthesis. A valid account must be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package QAIG updated to version 0.1.7 with previous version 0.1.5 dated 2019-03-17

Title: Automatic Item Generator for Quantitative Multiple-Choice Items
Description: A tool for automatic generation of sibling items from a parent item model defined by the user. It is an implementation of the process automatic item generation (AIG) focused on generating quantitative multiple-choice type of items (see Embretson, Kingston (2018) <doi:10.1111/jedm.12166>).
Author: Subhabrata Patra (Shubh) [aut, cre], Bao Sheng Loe (Aiden) [aut]
Maintainer: Subhabrata Patra (Shubh) <shubh.b.patra@gmail.com>

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Package hardhat updated to version 0.1.3 with previous version 0.1.2 dated 2020-02-28

Title: Construct Modeling Packages
Description: Building modeling packages is hard. A large amount of effort generally goes into providing an implementation for a new method that is efficient, fast, and correct, but often less emphasis is put on the user interface. A good interface requires specialized knowledge about S3 methods and formulas, which the average package developer might not have. The goal of 'hardhat' is to reduce the burden around building new modeling packages by providing functionality for preprocessing, predicting, and validating input.
Author: Davis Vaughan [aut, cre], Max Kuhn [aut], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>

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Package gemlog updated to version 0.40 with previous version 0.36 dated 2019-06-20

Title: File Conversion for 'Gem Infrasound Logger'
Description: Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is convenient for reading with traditional seismic analysis software). The Gem infrasound logger is a low-cost, lightweight, low-power instrument for recording infrasound in field campaigns; email the maintainer for more information.
Author: Jake Anderson
Maintainer: Jake Anderson <ajakef@gmail.com>

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Package BOIN updated to version 2.6.5 with previous version 2.6.4 dated 2018-10-12

Title: Bayesian Optimal INterval (BOIN) Design for Single-Agent and Drug- Combination Phase I Clinical Trials
Description: The Bayesian optimal interval (BOIN) design is a novel phase I clinical trial design for finding the maximum tolerated dose (MTD). It can be used to design both single-agent and drug-combination trials. The BOIN design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. The prominent advantage of the BOIN design is that it achieves simplicity and superior performance at the same time. The BOIN design is algorithm-based and can be implemented in a simple way similar to the traditional 3+3 design. The BOIN design yields an average performance that is comparable to that of the continual reassessment method (CRM, one of the best model-based designs) in terms of selecting the MTD, but has a substantially lower risk of assigning patients to subtherapeutic or overly toxic doses.
Author: Ying Yuan and Suyu Liu
Maintainer: Ying Yuan <yyuan@mdanderson.org>

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New package rRofex with initial version 1.6.9
Package: rRofex
Type: Package
Title: Interface to 'Matba Rofex' Trading API
Version: 1.6.9
Authors@R: c( person("Augusto", "Hassel", role = c("aut", "cre"), email = "ahassel@primary.com.ar"), person("Juan Francisco", "Gomez", role = c("ctb")), person("Matba Rofex", role = c("cph")) )
Description: Execute API calls to the 'Matba Rofex' <https://apihub.primary.com.ar> trading platform. Functionality includes accessing account data and current holdings, retrieving investment quotes, placing and canceling orders, and getting reference data for instruments.
License: MIT + file LICENSE
URL: https://matbarofex.github.io/rRofex, https://github.com/matbarofex/rRofex
BugReports: https://github.com/matbarofex/rRofex/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, httr, jsonlite, magrittr, tibble, tidyr, rlang, purrr, glue, methods
RoxygenNote: 7.1.0
Collate: 'attach.R' 's4_object.R' 'functions.R' 'functions_helpers.R' 'globals.R' 'rRofex.R'
NeedsCompilation: no
Packaged: 2020-05-13 15:49:20 UTC; augus
Author: Augusto Hassel [aut, cre], Juan Francisco Gomez [ctb], Matba Rofex [cph]
Maintainer: Augusto Hassel <ahassel@primary.com.ar>
Repository: CRAN
Date/Publication: 2020-05-20 15:10:02 UTC

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Package npsf updated to version 0.6.0 with previous version 0.5.2 dated 2019-09-08

Title: Nonparametric and Stochastic Efficiency and Productivity Analysis
Description: Provides a variety of tools for nonparametric and parametric efficiency measurement.
Author: Oleg Badunenko [aut, cre], Pavlo Mozharovskyi [aut], Yaryna Kolomiytseva [aut]
Maintainer: Oleg Badunenko <oleg.badunenko@brunel.ac.uk>

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Package lwgeom updated to version 0.2-4 with previous version 0.2-3 dated 2020-04-12

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/master/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Colin Rundel [ctb], Andy Teucher [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between lwgeom versions 0.2-3 dated 2020-04-12 and 0.2-4 dated 2020-05-20

 DESCRIPTION              |   10 +++++-----
 MD5                      |   25 +++++++++++++------------
 NEWS.md                  |   16 ++++++++++++++++
 R/RcppExports.R          |    8 ++++++++
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 src/postgis_config.win   |    4 ++--
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 tools/winlibs.R          |    8 +++++---
 14 files changed, 141 insertions(+), 80 deletions(-)

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New package ghypernet with initial version 1.0.0
Package: ghypernet
Type: Package
Title: Fit and Simulate Generalised Hypergeometric Ensembles of Graphs
Version: 1.0.0
Date: 2020-05-11
Authors@R: c( person("Giona", "Casiraghi", email = "giona@ethz.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0233-5747")), person("Vahan", "Nanumyan", email = "vahan@ethz.ch", role = c('aut'), comment = c(ORCID = "0000-0001-9054-3217")), person("Laurence", "Brandenberger", email = "lbrandenberger@ethz.ch", role = c('aut')), person("Giacomo", "Vaccario", email = "gvaccario@ethz.ch", role = c('ctb')) )
URL: http://ghyper.net
Description: Provides functions for model fitting and selection of generalised hypergeometric ensembles of random graphs (gHypEG). To learn how to use it, check the vignettes for a quick tutorial. Please reference its use as Casiraghi, G., Nanumyan, V. (2019) <doi:10.5281/zenodo.2555300> together with those relevant references from the one listed below. The package is based on the research developed at the Chair of Systems Design, ETH Zurich. Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2016) <arXiv:1607.02441>. Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2017) <doi:10.1007/978-3-319-67256-4_11>. Casiraghi, G., (2017) <arxiv:1702.02048> Casiraghi, G., Nanumyan, V. (2018) <arXiv:1810.06495>. Brandenberger, L., Casiraghi, G., Nanumyan, V., Schweitzer, F. (2019) <doi:10.1145/3341161.3342926> Casiraghi, G. (2019) <doi:10.1007/s41109-019-0241-1>.
Depends: R (>= 3.0)
License: AGPL-3
Imports: parallel, plyr, numbers, purrr, extraDistr, dplyr, rlang, reshape2, rootSolve
Suggests: BiasedUrn, igraph, knitr, rmarkdown, ggplot2, texreg, ggraph
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.0
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2020-05-13 16:06:30 UTC; giona
Author: Giona Casiraghi [aut, cre] (<https://orcid.org/0000-0003-0233-5747>), Vahan Nanumyan [aut] (<https://orcid.org/0000-0001-9054-3217>), Laurence Brandenberger [aut], Giacomo Vaccario [ctb]
Maintainer: Giona Casiraghi <giona@ethz.ch>
Repository: CRAN
Date/Publication: 2020-05-20 15:20:02 UTC

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New package EBMAforecast with initial version 1.0.0
Package: EBMAforecast
Type: Package
Title: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms
Version: 1.0.0
Date: 2020-05-20
Authors@R: c(person("Florian M.", "Hollenbach", email = "fhollenbach@tamu.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9599-556X")), person("Jacob M.", "Montgomery", role = c("aut")), person("Michael D.", "Ward", role = c("aut")))
URL: <https://github.com/fhollenbach/EBMA/>
Description: Create forecasts from multiple predictions using ensemble Bayesian model averaging (EBMA). EBMA models can be estimated using an expectation maximization (EM) algorithm or as fully Bayesian models via Gibbs sampling.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.2), plyr, graphics, separationplot, Hmisc, abind, gtools, methods
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Collate: 'EBMAforecast.R' 'forecastData.R' 'EBMApredict.R' 'RcppExports.R' 'calibrateEnsemble.R' 'compareModels.R' 'document-data.R' 'fitEnsembleLogit.R' 'fitEnsembleNormal.R' 'global.R' 'makeForecastData.R' 'predictLogit.R' 'predictNormal.R' 'summary_plot.R' 'print_show.R' 'utility-functions.R'
NeedsCompilation: yes
Packaged: 2020-05-20 11:01:56 UTC; florianhollenbach
Author: Florian M. Hollenbach [aut, cre] (<https://orcid.org/0000-0002-9599-556X>), Jacob M. Montgomery [aut], Michael D. Ward [aut]
Maintainer: Florian M. Hollenbach <fhollenbach@tamu.edu>
Repository: CRAN
Date/Publication: 2020-05-20 15:40:06 UTC

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New package discnorm with initial version 0.1.0
Package: discnorm
Type: Package
Title: Test for Discretized Normality in Ordinal Data
Version: 0.1.0
Authors@R: c(person("Njål", "Foldnes", email = "njal.foldnes@gmail.com", role = c("aut", "cre")), person("Steffen", "Grønneberg", email = "steffeng@gmail.com", role = c("aut")))
Description: Tests whether multivariate ordinal data may stem from discretizing a multivariate normal distribution. The test is described by Foldnes and Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Imports: lavaan, arules, sirt, MASS, pbivnorm, psych
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-13 18:26:42 UTC; Njaal0
Author: Njål Foldnes [aut, cre], Steffen Grønneberg [aut]
Maintainer: Njål Foldnes <njal.foldnes@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-20 15:30:06 UTC

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Package dams updated to version 0.3.0 with previous version 0.2 dated 2016-11-05

Title: Dams in the United States from the National Inventory of Dams (NID)
Description: The single largest source of dams in the United States is the National Inventory of Dams (NID) <http://nid.usace.army.mil> from the US Army Corps of Engineers. Entire data from the NID cannot be obtained all at once and NID's website limits extraction of more than a couple of thousand records at a time. Moreover, selected data from the NID's user interface cannot not be saved to a file. In order to make the analysis of this data easier, all the data from NID was extracted manually. Subsequently, the raw data was checked for potential errors and cleaned. This package provides sample cleaned data from the NID and provides functionality to access the entire cleaned NID data.
Author: Gopi Goteti [aut], Joseph Stachelek [aut, cre]
Maintainer: Joseph Stachelek <stachel2@msu.edu>

Diff between dams versions 0.2 dated 2016-11-05 and 0.3.0 dated 2020-05-20

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 24 files changed, 505 insertions(+), 301 deletions(-)

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New package BayesARIMAX with initial version 0.1.1
Package: BayesARIMAX
Type: Package
Title: Bayesian Estimation of ARIMAX Model
Version: 0.1.1
Authors@R: c(person("Achal", "Lama", role = c("aut", "cre"), email = "achal.lama@icar.gov.in"), person("Kn", "Singh", role = "aut"), person("Bishal", "Gurung", role = "aut", email = "Bishal.Gurung@icar.gov.in"))
Author: Achal Lama [aut, cre], Kn Singh [aut], Bishal Gurung [aut]
Maintainer: Achal Lama <achal.lama@icar.gov.in>
Depends: R (>= 3.3.0),coda,forecast
Description: The Autoregressive Integrated Moving Average (ARIMA) model is very popular univariate time series model. Its application has been widened by the incorporation of exogenous variable(s) (X) in the model and modified as ARIMAX by Bierens (1987) <doi:10.1016/0304-4076(87)90086-8>. In this package we estimate the ARIMAX model using Bayesian framework.
Encoding: UTF-8
LazyData: true
License: GPL-3
NeedsCompilation: no
Packaged: 2020-05-20 05:29:52 UTC; USER
Repository: CRAN
Date/Publication: 2020-05-20 15:40:09 UTC

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New package BacArena with initial version 1.8.2
Package: BacArena
Title: Modeling Framework for Cellular Communities in their Environments
Version: 1.8.2
Authors@R: c( person("Eugen", "Bauer", , "eugen.bauer@uni.lu", role = c("aut")), person("Johannes", "Zimmermann", , "j.zimmermann@iem.uni-kiel.de", role = c("aut", "cre")))
Author: Eugen Bauer [aut], Johannes Zimmermann [aut, cre]
Maintainer: Johannes Zimmermann <j.zimmermann@iem.uni-kiel.de>
Description: Can be used for simulation of organisms living in communities (Bauer and Zimmermann (2017) <doi:10.1371/journal.pcbi.1005544>). Each organism is represented individually and genome scale metabolic models determine the uptake and release of compounds. Biological processes such as movement, diffusion, chemotaxis and kinetics are available along with data analysis techniques.
URL: https://BacArena.github.io/
BugReports: https://github.com/euba/BacArena/issues
Depends: R (>= 3.5.0), sybil (>= 2.1.3), ReacTran (>= 1.4.2), deSolve (>= 1.12), Matrix (>= 1.2)
Imports: methods, utils, stats, graphics, ggplot2, reshape2, glpkAPI, plyr, Rcpp, igraph, stringr, R.matlab
Suggests: parallel, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
License: GPL-3 | file LICENSE
VignetteBuilder: knitr
RoxygenNote: 7.0.2
LazyData: true
NeedsCompilation: yes
Packaged: 2020-05-20 10:30:20.501 UTC; jo
Repository: CRAN
Date/Publication: 2020-05-20 15:40:12 UTC

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Package spmoran updated to version 0.2.0 with previous version 0.1.7.2 dated 2019-12-11

Title: Moran Eigenvector-Based Scalable Spatial Additive Mixed Modeling
Description: Functions for estimating Moran eigenvector-based spatial additive mixed models, and other spatial regression models. For details see Murakami (2020) <arXiv:1703.04467>.
Author: Daisuke Murakami
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

Diff between spmoran versions 0.1.7.2 dated 2019-12-11 and 0.2.0 dated 2020-05-20

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New package rules with initial version 0.0.1
Package: rules
Title: Model Wrappers for Rule-Based Models
Version: 0.0.1
Authors@R: c( person( given = "Max", family = "Kuhn", email = "max@rstudio.com", comment = c(ORCID = "0000-0003-2402-136X"), role = c("aut", "cre") ), person("RStudio", role = "cph") )
Description: Bindings for additional models for use with the 'parsnip' package. Models include prediction rule ensembles (Friedman and Popescu, 2008) <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and Cubist (Kuhn and Johnson, 2013) <doi:10.1007/978-1-4614-6849-3>.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/rules, https://rules.tidymodels.org
Depends: parsnip (>= 0.1.0)
Suggests: testthat, C50, Cubist, xrf (>= 0.2.0), covr, modeldata, spelling
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0.9000
Imports: purrr, rlang, tibble, dials, tidyr, dplyr
Language: en-US
NeedsCompilation: no
Packaged: 2020-05-09 16:48:31 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-05-20 15:00:02 UTC

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New package RGISTools with initial version 1.0.2
Type: Package
Package: RGISTools
Title: Handling Multiplatform Satellite Images
Version: 1.0.2
Author: U Pérez - Goya [aut, cre] <unai.perez@unavarra.es>, M Montesino - SanMartin [aut] <manuel.montesino@unavarra.es>, A F Militino [aut] <militino@unavarra.es>, M D Ugarte [aut] <lola@unavarra.es>
Maintainer: U Perez - Goya <unai.perez@unavarra.es>
Description: Downloading, customizing, and processing time series of satellite images for a region of interest. 'RGISTools' functions allow a unified access to multispectral images from Landsat, MODIS and Sentinel repositories. 'RGISTools' also offers capabilities for customizing satellite images, such as tile mosaicking, image cropping and new variables computation. Finally, 'RGISTools' covers the processing, including cloud masking, compositing and gap-filling/smoothing time series of images (Militino et al., 2018 <doi:10.3390/rs10030398> and Militino et al., 2019 <doi:10.1109/TGRS.2019.2904193>).
URL: https://github.com/spatialstatisticsupna/RGISTools#RGISTools
BugReports: https://github.com/spatialstatisticsupna/RGISTools/issues
Depends: R (>= 3.5.0), raster, sf, tmap
Imports: Rdpack, XML, xml2, utils, fields, urltools, rjson, rvest, tools, methods, curl, httr, mapview, sp, stars
Suggests: rgdal
RdMacros: Rdpack
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-20 08:53:55 UTC; Unai
Repository: CRAN
Date/Publication: 2020-05-20 14:20:06 UTC

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Package RaceID updated to version 0.2.0 with previous version 0.1.9 dated 2020-04-15

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Grün <dominic.gruen@gmail.com>
Maintainer: Dominic Grün <dominic.gruen@gmail.com>

Diff between RaceID versions 0.1.9 dated 2020-04-15 and 0.2.0 dated 2020-05-20

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 9 files changed, 79 insertions(+), 48 deletions(-)

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Package Andromeda updated to version 0.2.0 with previous version 0.1.3 dated 2020-05-11

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between Andromeda versions 0.1.3 dated 2020-05-11 and 0.2.0 dated 2020-05-20

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Package tidyr updated to version 1.1.0 with previous version 1.0.3 dated 2020-05-07

Title: Tidy Messy Data
Description: Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
Author: Hadley Wickham [aut, cre], Lionel Henry [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between tidyr versions 1.0.3 dated 2020-05-07 and 1.1.0 dated 2020-05-20

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Package simITS updated to version 0.1.1 with previous version 0.1.0 dated 2020-04-28

Title: Analysis via Simulation of Interrupted Time Series (ITS) Data
Description: Uses simulation to create prediction intervals for post-policy outcomes in interrupted time series (ITS) designs, following Miratrix (2020) <arXiv:2002.05746>. This package provides methods for fitting ITS models with lagged outcomes and variables to account for temporal dependencies. It then conducts inference via simulation, simulating a set of plausible counterfactual post-policy series to compare to the observed post-policy series. This package also provides methods to visualize such data, and also to incorporate seasonality models and smoothing and aggregation/summarization. This work partially funded by Arnold Ventures in collaboration with MDRC.
Author: Luke Miratrix [aut, cre], Brit Henderson [ctb], Chloe Anderson [ctb], Arnold Ventures [fnd], MDRC [fnd]
Maintainer: Luke Miratrix <lmiratrix@g.harvard.edu>

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Package rdiversity updated to version 2.0 with previous version 1.2.1 dated 2018-06-19

Title: Measurement and Partitioning of Similarity-Sensitive Biodiversity
Description: Provides a framework for the measurement and partitioning of the (similarity-sensitive) biodiversity of a metacommunity and its constituent subcommunities. Richard Reeve, et al. (2016) <arXiv:1404.6520v3>.
Author: Sonia Mitchell [cre, aut] (<https://orcid.org/0000-0003-1536-2066>), Richard Reeve [aut, ths] (<https://orcid.org/0000-0003-2589-8091>), Tom White [ctb] (<https://orcid.org/0000-0002-9639-3800>)
Maintainer: Sonia Mitchell <sonia.mitchell@glasgow.ac.uk>

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Package MRTSampleSize updated to version 0.2.0 with previous version 0.1.0 dated 2017-07-25

Title: A Sample Size Calculator for Micro-Randomized Trials
Description: Provide a sample size calculator for micro-randomized trials (MRTs) based on methodology developed in Sample Size Calculations for Micro-randomized Trials in mHealth by Liao et al. (2016) <DOI:10.1002/sim.6847>.
Author: Liying Huang [aut, cre], Nicholas J. Seewald [aut], Peng Liao [aut], Ji Sun [aut]
Maintainer: Liying Huang <lxh37@psu.edu>

Diff between MRTSampleSize versions 0.1.0 dated 2017-07-25 and 0.2.0 dated 2020-05-20

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Package distr6 updated to version 1.3.7 with previous version 1.3.6 dated 2020-04-16

Title: The Complete R6 Probability Distributions Interface
Description: An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Peter Ruckdeschel [ctb] (Author of distr), Matthias Kohl [ctb] (Author of distr), Shen Chen [ctb], Jordan Deenichin [ctb], Chengyang Gao [ctb], Chloe Zhaoyuan Gu [ctb], Yunjie He [ctb], Xiaowen Huang [ctb], Shuhan Liu [ctb], Runlong Yu [ctb], Chijing Zeng [ctb], Qian Zhou [ctb]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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New package covid19us with initial version 0.1.6
Package: covid19us
Title: Cases of COVID-19 in the United States
Version: 0.1.6
Authors@R: person(given = "Amanda", family = "Dobbyn", role = c("aut", "cre"), email = "amanda.e.dobbyn@gmail.com")
Description: A wrapper around the 'COVID Tracking Project API' <https://covidtracking.com/api/> providing data on cases of COVID-19 in the US.
License: MIT + file LICENSE
Imports: curl (>= 4.3), dplyr (>= 0.8.3), glue (>= 1.3.1), httr (>= 1.4.1), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), snakecase (>= 0.11.0), stringr (>= 1.4.0), tibble (>= 2.1.3), tidyr (>= 1.0.2)
Suggests: covr (>= 3.4.0), testthat (>= 2.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-20 04:12:54 UTC; amanda
Author: Amanda Dobbyn [aut, cre]
Maintainer: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-20 12:40:02 UTC

More information about covid19us at CRAN
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Package surveyplanning updated to version 4.0 with previous version 3.0 dated 2019-05-03

Title: Survey Planning Tools
Description: Tools for sample survey planning, including sample size calculation, estimation of expected precision for the estimates of totals, and calculation of optimal sample size allocation.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Janis Jukams [aut]
Maintainer: Juris Breidaks <rcsb@csb.gov.lv>

Diff between surveyplanning versions 3.0 dated 2019-05-03 and 4.0 dated 2020-05-20

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Package HMR updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-10

Title: Flux Estimation with Static Chamber Data
Description: Statistical analysis of static chamber concentration data for trace gas flux estimation.
Author: Asger R. Pedersen <asger@clin.au.dk>
Maintainer: Asger R. Pedersen <asger@clin.au.dk>

Diff between HMR versions 1.0.0 dated 2019-10-10 and 1.0.1 dated 2020-05-20

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Package VOSONDash updated to version 0.5.4 with previous version 0.5.1 dated 2019-11-23

Title: User Interface for Collecting and Analysing Social Networks
Description: A 'Shiny' application for the interactive visualisation and analysis of networks that also provides a web interface for collecting social media data using 'vosonSML'.
Author: Bryan Gertzel, Robert Ackland
Maintainer: Bryan Gertzel <bryan.gertzel@anu.edu.au>

Diff between VOSONDash versions 0.5.1 dated 2019-11-23 and 0.5.4 dated 2020-05-20

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Permanent link

Package vardpoor updated to version 0.20.0 with previous version 0.17.0 dated 2020-05-14

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <rcsb@csb.gov.lv>

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Package sp updated to version 1.4-2 with previous version 1.4-1 dated 2020-02-28

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package scBio updated to version 0.1.6 with previous version 0.1.5 dated 2019-05-21

Title: Single Cell Genomics for Enhancing Cell Composition Inference from Bulk Genomics Data
Description: Cellular population mapping (CPM) a deconvolution algorithm in which single-cell genomics is required in only one or a few samples, where in other samples of the same tissue, only bulk genomics is measured and the underlying fine resolution cellular heterogeneity is inferred.
Author: Amit Frishberg [aut, cre], Naama Peshes-Yaloz [aut], Irit Gat-Viks [aut]
Maintainer: Amit Frishberg <amfrishberg@gmail.com>

Diff between scBio versions 0.1.5 dated 2019-05-21 and 0.1.6 dated 2020-05-20

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Package oppr updated to version 1.0.2 with previous version 1.0.1 dated 2020-03-11

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.
Author: Jeffrey O Hanson [aut, cre] (<https://orcid.org/0000-0002-4716-6134>), Richard Schuster [aut] (<https://orcid.org/0000-0003-3191-7869>), Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>), Joseph R Bennett [aut] (<https://orcid.org/0000-0002-3901-9513>)
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

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Package greybox updated to version 0.6.0 with previous version 0.5.9 dated 2020-03-29

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] (Lecturer at Centre for Marketing Analytics and Forecasting, Lancaster University, UK), Yves R. Sagaert [ctb] (Visiting Research at Centre for Marketing Analytics and Forecasting, Lancaster University, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package IMak updated to version 2.0.1 with previous version 2.0.0 dated 2020-05-06

Title: Item Maker
Description: This is an Automatic Item Generator for Psychological Assessment. Items created with the 'IMak' package should not be used in applied settings as part of the working protocol without ensuring first that the items meet the required psychometric quality standards (see Blum & Holling, 2018) <DOI:10.3389/fpsyg.2018.01286>.
Author: Diego Blum [aut, cre]
Maintainer: Diego Blum <blumworx@gmail.com>

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Package xfun updated to version 0.14 with previous version 0.13 dated 2020-04-13

Title: Miscellaneous Functions by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), Daijiang Li [ctb], Xianying Tan [ctb], Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>)
Maintainer: Yihui Xie <xie@yihui.name>

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Package gWidgetsRGtk2 updated to version 0.0-86.1 with previous version 0.0-86 dated 2018-03-01

Title: Toolkit Implementation of gWidgets for RGtk2
Description: Port of the gWidgets API to the RGtk2 toolkit.
Author: Michael Lawrence, John Verzani
Maintainer: John Verzani <jverzani@gmail.com>

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Package rpart.LAD updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-23

Title: Least Absolute Deviation Regression Trees
Description: Recursive partitioning for least absolute deviation regression trees. Another algorithm from the 1984 book by Breiman, Friedman, Olshen and Stone in addition to the 'rpart' package (Breiman, Friedman, Olshen, Stone (1984, ISBN:9780412048418).
Author: Stephan Dlugosz [aut,cre]
Maintainer: Stephan Dlugosz <stephan.dlugosz@googlemail.com>

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Package reproducible updated to version 1.1.1 with previous version 1.1.0 dated 2020-05-15

Title: A Set of Tools that Enhance Reproducibility Beyond Package Management
Description: Collection of high-level, robust, machine- and OS-independent tools for making deeply reproducible and reusable content in R. The three workhorse functions are Cache, prepInputs, and Require; these allow for nested caching, robust to environments, and objects with environments (like functions), and data retrieval and processing, and package handling in continuous workflow environments. In all cases, efforts are made to make the first and subsequent calls of functions have the same result, but vastly faster at subsequent times by way of checksums and digesting. Several features are still under active development, including cloud storage of cached objects, allowing for sharing between users.
Author: Eliot J B McIntire [aut, cre] (<https://orcid.org/0000-0002-6914-8316>), Alex M Chubaty [aut] (<https://orcid.org/0000-0001-7146-8135>), Tati Micheletti [ctb] (<https://orcid.org/0000-0003-4838-8342>), Ceres Barros [ctb] (<https://orcid.org/0000-0003-4036-977X>), Ian Eddy [ctb] (<https://orcid.org/0000-0001-7397-2116>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package rcrimeanalysis updated to version 0.4.2 with previous version 0.4.1 dated 2020-03-03

Title: An Implementation of Crime Analysis Methods
Description: An implementation of functions for the analysis of crime incident or records management system data. The package implements analysis algorithms scaled for city or regional crime analysis units. The package provides functions for kernel density estimation for crime heat maps, geocoding using the 'Google Maps' API, identification of repeat crime incidents, spatio-temporal map comparison across time intervals, time series analysis (forecasting and decomposition), detection of optimal parameters for the identification of near repeat incidents, and near repeat analysis with crime network linkage.
Author: Jamie Spaulding and Keith Morris
Maintainer: Jamie Spaulding <jspauldi@mix.wvu.edu>

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Package mrbin updated to version 1.4.1 with previous version 1.4.0 dated 2020-04-29

Title: Magnetic Resonance Binning, Integration and Normalization
Description: Nuclear Magnetic Resonance is widely used in Life Science research. The package (<http://www.kleinomicslab.com/software>) converts 1D or 2D data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, are replaced by positive values. All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time.
Author: Matthias Klein [aut, cre] (<https://orcid.org/0000-0001-7455-5381>)
Maintainer: Matthias Klein <klein.663@osu.edu>

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Package csv updated to version 0.5.9 with previous version 0.5.8 dated 2020-05-19

Title: Read and Write CSV Files with Selected Conventions
Description: Reads and writes CSV with selected conventions. Uses the same generic function for reading and writing to promote consistent formats.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package climatrends updated to version 0.1.6 with previous version 0.1.0 dated 2020-02-28

Title: Climate Variability Indices for Ecological Modelling
Description: Supports analysis of trends in climate change, ecological and crop modelling.
Author: Kaue de Sousa [aut, cre] (<https://orcid.org/0000-0002-7571-7845>), Jacob van Etten [aut, ths] (<https://orcid.org/0000-0001-7554-2558>), Svein Solberg [aut, ths] (<https://orcid.org/0000-0002-4491-4483>)
Maintainer: Kaue de Sousa <kaue.desousa@inn.no>

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Package ICON updated to version 0.2.0 with previous version 0.1.0 dated 2019-12-06

Title: Provides Easy Access to Complex Systems Datasets
Description: Provides easy-to-use and easy-to-access datasets from the Index of COmplex Networks (ICON) database available on the University of Colorado website. All datasets can be loaded with a single function call and new datasets are being slowly added from ICON at <https://icon.colorado.edu>. Specific ICON datasets of interest can be requested at the BugReports URL <https://github.com/rrrlw/ICON/issues>.
Author: Raoul Wadhwa [aut, cre], Jacob Scott [aut]
Maintainer: Raoul Wadhwa <raoulwadhwa@gmail.com>

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

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

2020-05-10 0.2.2
2020-05-04 0.2.1
2020-04-14 0.2.0
2020-03-05 0.1.0
2019-09-07 0.0.2
2018-12-17 0.0.1

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Package stacomiR (with last version 0.5.4.3) was removed from CRAN

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

2020-03-18 0.5.4.3

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Package UniprotR (with last version 1.2.5) was removed from CRAN

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

2020-05-13 1.2.5
2020-03-19 1.2.4
2020-01-21 1.2.3
2019-11-29 1.2.2
2019-11-17 1.1.2
2019-11-07 1.1.1
2019-11-05 1.1.0
2019-08-19 1.0.3
2019-08-06 1.0.2
2019-07-25 1.0.1
2019-07-23 1.0.0

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