Wed, 29 Jun 2022

Package yulab.utils updated to version 0.0.5 with previous version 0.0.4 dated 2021-10-09

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between yulab.utils versions 0.0.4 dated 2021-10-09 and 0.0.5 dated 2022-06-29

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Package BranchGLM updated to version 1.1.3 with previous version 1.1.2 dated 2022-06-23

Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>

Diff between BranchGLM versions 1.1.2 dated 2022-06-23 and 1.1.3 dated 2022-06-29

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Package tfdatasets updated to version 2.9.0 with previous version 2.7.0 dated 2021-11-09

Title: Interface to 'TensorFlow' Datasets
Description: Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Yuan Tang [aut] , Kevin Ushey [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>

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Package Dire updated to version 2.1.0 with previous version 2.0.1 dated 2022-04-19

Title: Linear Regressions with a Latent Outcome Variable
Description: Fit latent variable linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, a latent distribution is conditional on students item response, item characteristics, and conditioning variables the user includes. This latent trait is then integrated out. This software is intended to fit the same models as the existing software 'AM' <https://am.air.org/>. As of version 2, also allows the user to draw plausible values.
Author: Emmanuel Sikali [pdr], Paul Bailey [aut, cre], Eric Buehler [aut], Sun-joo Lee [aut], Harold Doran [aut], Claire Kelley [ctb]
Maintainer: Paul Bailey <pbailey@air.org>

Diff between Dire versions 2.0.1 dated 2022-04-19 and 2.1.0 dated 2022-06-29

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Package packrat updated to version 0.8.1 with previous version 0.8.0 dated 2022-05-26

Title: A Dependency Management System for Projects and their R Package Dependencies
Description: Manage the R packages your project depends on in an isolated, portable, and reproducible way.
Author: Kevin Ushey, Jonathan McPherson, Joe Cheng, Aron Atkins, JJ Allaire, Toph Allen
Maintainer: Aron Atkins <aron@rstudio.com>

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Package PRECAST updated to version 1.1 with previous version 1.0 dated 2022-06-22

Title: Embedding and Clustering with Alignment for Spatial Datasets
Description: An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2022) <doi:10.1101/2022.06.26.497672>.
Author: Wei Liu [aut, cre], Yi Yang [aut], Jin Liu [aut]
Maintainer: Wei Liu <wei.liu@duke-nus.edu.sg>

Diff between PRECAST versions 1.0 dated 2022-06-22 and 1.1 dated 2022-06-29

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New package BootPR with initial version 0.70
Package: BootPR
Title: Bootstrap Prediction Intervals and Bias-Corrected Forecasting
Version: 0.70
Date: 2022-06-29
Author: Jae. H. Kim <jaekim8080@gmail.com>
Maintainer: Jae H. Kim <jaekim8080@gmail.com>
Description: Contains functions for bias-Corrected Forecasting and Bootstrap Prediction Intervals for Autoregressive Time Series.
License: GPL-2
NeedsCompilation: no
Packaged: 2022-06-29 13:11:15 UTC; jh808
Repository: CRAN
Date/Publication: 2022-06-29 16:10:16 UTC

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Package atom4R updated to version 0.3 with previous version 0.2 dated 2022-04-26

Title: Tools to Handle and Publish Metadata as 'Atom' XML Format
Description: Provides tools to read/write/publish metadata based on the 'Atom' XML syndication format. This includes support of 'Dublin Core' XML implementation, and a client to API(s) implementing the 'AtomPub' 'SWORD' API specification.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between atom4R versions 0.2 dated 2022-04-26 and 0.3 dated 2022-06-29

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Package IDSL.UFAx updated to version 1.4 with previous version 1.3 dated 2022-06-13

Title: Exhaustive Chemical Enumeration for United Formula Annotation
Description: A pipeline to annotate a number of peaks from the IDSL.IPA peaklists using an exhaustive chemical enumeration-based approach. This package can perform elemental composition calculations using the following 15 elements : C, B, Br, Cl, K, S, Se, Si, N, H, As, F, I, Na, O, and P.
Author: Sadjad Fakouri-Baygi [cre, aut] , Dinesh Barupal [aut]
Maintainer: Sadjad Fakouri-Baygi <sadjad.fakouri-baygi@mssm.edu>

Diff between IDSL.UFAx versions 1.3 dated 2022-06-13 and 1.4 dated 2022-06-29

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Package disclapmix updated to version 1.7.4 with previous version 1.7.3 dated 2019-03-12

Title: Discrete Laplace Mixture Inference using the EM Algorithm
Description: Make inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).
Author: Mikkel Meyer Andersen [aut, cre], Poul Svante Eriksen [aut]
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

Diff between disclapmix versions 1.7.3 dated 2019-03-12 and 1.7.4 dated 2022-06-29

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Package SqlRender updated to version 1.9.1 with previous version 1.9.0 dated 2022-02-18

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft Sql Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Apache Spark', and 'SQLite'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package d4storagehub4R updated to version 0.4 with previous version 0.3 dated 2022-05-02

Title: Interface to 'D4Science' 'StorageHub' API
Description: Provides an interface to 'D4Science' 'StorageHub' API (<https://dev.d4science.org/>). Allows to get user profile, and perform actions over the 'StorageHub' (workspace) including creation of folders, files management (upload/update/deletion/sharing), and listing of stored resources.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between d4storagehub4R versions 0.3 dated 2022-05-02 and 0.4 dated 2022-06-29

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Package fabricatr updated to version 1.0.0 with previous version 0.16.0 dated 2022-02-11

Title: Imagine Your Data Before You Collect It
Description: Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
Author: Graeme Blair [aut, cre] , Jasper Cooper [aut] , Alexander Coppock [aut] , Macartan Humphreys [aut] , Aaron Rudkin [aut], Neal Fultz [aut], David C. Hall [ctb]
Maintainer: Graeme Blair <graeme.blair@gmail.com>

Diff between fabricatr versions 0.16.0 dated 2022-02-11 and 1.0.0 dated 2022-06-29

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Package BalancedSampling updated to version 1.6.3 with previous version 1.5.5 dated 2019-03-01

Title: Balanced and Spatially Balanced Sampling
Description: Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.
Author: Anton Grafstroem, Jonathan Lisic, Wilmer Prentius
Maintainer: Anton Grafstroem <anton.grafstrom@gmail.com>

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Package steprf updated to version 1.0.2 with previous version 1.0.1 dated 2022-06-17

Title: Stepwise Predictive Variable Selection for Random Forest
Description: An introduction to several novel predictive variable selection methods for random forest. They are based on various variable importance methods (i.e., averaged variable importance (AVI), and knowledge informed AVI (i.e., KIAVI, and KIAVI2)) and predictive accuracy in stepwise algorithms. For details of the variable selection methods, please see: Li, J., Siwabessy, J., Huang, Z. and Nichol, S. (2019) <doi:10.3390/geosciences9040180>. Li, J., Alvarez, B., Siwabessy, J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., Nichol, S. (2017). <DOI: 10.13140/RG.2.2.27686.22085>.
Author: Jin Li [aut, cre]
Maintainer: Jin Li <jinli68@gmail.com>

Diff between steprf versions 1.0.1 dated 2022-06-17 and 1.0.2 dated 2022-06-29

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Package gld updated to version 2.6.5 with previous version 2.6.4 dated 2021-12-16

Title: Estimation and Use of the Generalised (Tukey) Lambda Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution, the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden and Loots 2009) and FM5 - see documentation for details. It provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety of estimation methods for the distribution, including diagnostic plots. Estimation methods include the starship (all 4 types), method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML type. These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King [aut, cre] , Benjamin Dean [aut], Sigbert Klinke [aut], Paul van Staden [aut]
Maintainer: Robert King <Robert.King.Newcastle@gmail.com>

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Package errorlocate updated to version 1.1 with previous version 1.0.0 dated 2022-03-31

Title: Locate Errors with Validation Rules
Description: Errors in data can be located and removed using validation rules from package 'validate'. See also Van der Loo and De Jonge (2018) <doi:10.1002/9781118897126>, chapter 7.
Author: Edwin de Jonge [aut, cre] , Mark van der Loo [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package eatRep updated to version 0.14.4 with previous version 0.14.3 dated 2022-05-14

Title: Educational Assessment Tools for Replication Methods
Description: Replication methods to compute some basic statistic operations (means, standard deviations, frequency tables, percentiles and generalized linear models) in complex survey designs comprising multiple imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors. See the package documentation for a more detailed description along with references.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Benjamin Becker [aut]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

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Package devRate updated to version 0.2.2 with previous version 0.2.1 dated 2020-11-06

Title: Quantify the Relationship Between Development Rate and Temperature in Ectotherms
Description: A set of functions to quantify the relationship between development rate and temperature and to build phenological models. The package comprises a set of models and estimated parameters borrowed from a literature review in ectotherms. The methods and literature review are described in Rebaudo et al. (2018) <doi:10.1111/2041-210X.12935>, Rebaudo and Rabhi (2018) <doi:10.1111/eea.12693>, and Regnier et al. (2021) <doi:10.1093/ee/nvab115>. An example can be found in Rebaudo et al. (2017) <doi:10.1007/s13355-017-0480-5>.
Author: Francois Rebaudo [aut, cre] , Baptiste Regnier [aut] , Camila Benavides [ctb] , Tanusson Selvarajah [ctb] , Nicolas Bonnal [ctb] , Badre Rabhi [ctb] , Quentin Struelens [ctb]
Maintainer: Francois Rebaudo <francois.rebaudo@ird.fr>

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New package bandit with initial version 0.5.1
Package: bandit
Title: Functions for Simple a/B Split Test and Multi-Armed Bandit Analysis
Version: 0.5.1
Date: 2022-06-028
Imports: boot, gam (>= 1.09)
Author: Thomas Lotze and Markus Loecher
Maintainer: Markus Loecher <markus.loecher@gmail.com>
Description: A set of functions for doing analysis of A/B split test data and web metrics in general.
License: GPL-3
NeedsCompilation: no
Repository: CRAN
Packaged: 2022-06-28 16:06:35 UTC; loecherm
Date/Publication: 2022-06-29 11:20:12 UTC

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Package geonapi updated to version 0.6 with previous version 0.5-3 dated 2022-02-21

Title: 'GeoNetwork' API R Interface
Description: Provides an R interface to the 'GeoNetwork' API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package wildmeta updated to version 0.2.0 with previous version 0.1.0 dated 2022-02-02

Title: Cluster Wild Bootstrapping for Meta-Analysis
Description: Conducts single coefficient tests and multiple-contrast hypothesis tests of meta-regression models using cluster wild bootstrapping, based on methods examined in Joshi, Pustejovsky, and Beretvas (2022) <DOI:10.1002/jrsm.1554>.
Author: Megha Joshi [aut, cre] , James Pustejovsky [aut] , Sangdon Lim [ctb] , Pierce Cappelli [ctb]
Maintainer: Megha Joshi <megha.j456@gmail.com>

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Package AirSensor (with last version 1.0.8) was removed from CRAN

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

2021-03-12 1.0.8
2020-10-08 1.0.2

Permanent link
Package morse (with last version 3.3.1) was removed from CRAN

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

2021-02-04 3.3.1
2021-01-27 3.3.0
2020-11-09 3.2.7
2019-09-27 3.2.5
2019-06-21 3.2.4
2019-02-21 3.2.2
2018-11-12 3.2.0
2018-06-12 3.1.1
2018-06-05 3.1.0
2018-01-30 3.0.0
2016-06-13 2.2.0
2015-12-21 2.1.1
2015-12-14 2.1.0
2015-09-01 2.0.0
2014-07-03 1.0.2
2014-06-19 1.0.1

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Package reval updated to version 3.1-0 with previous version 3.0-0 dated 2021-06-27

Title: Argument Table Generation for Sensitivity Analysis
Description: Simplified scenario testing and sensitivity analysis, redesigned to use packages 'future' and 'furrr'. Provides functions for generating function argument sets using one-factor-at-a-time (OFAT) and (sampled) permutations.
Author: Michael C Koohafkan [aut, cre]
Maintainer: Michael C Koohafkan <michael.koohafkan@gmail.com>

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Package modelsummary updated to version 1.0.0 with previous version 0.11.1 dated 2022-06-11

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package ARDL updated to version 0.2.0 with previous version 0.1.1 dated 2021-01-10

Title: ARDL, ECM and Bounds-Test for Cointegration
Description: Creates complex autoregressive distributed lag (ARDL) models and constructs the underlying unrestricted and restricted error correction model (ECM) automatically, just by providing the order. It also performs the bounds-test for cointegration as described in Pesaran et al. (2001) <doi:10.1002/jae.616> and provides the multipliers and the cointegrating equation. The validity and the accuracy of this package have been verified by successfully replicating the results of Pesaran et al. (2001) in Natsiopoulos and Tzeremes (2022) <doi:10.1002/jae.2919>.
Author: Kleanthis Natsiopoulos [aut, cre] , Nickolaos Tzeremes [aut]
Maintainer: Kleanthis Natsiopoulos <klnatsio@gmail.com>

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