Thu, 30 Jun 2022

Package Cyclops updated to version 3.2.0 with previous version 3.1.2 dated 2021-06-16

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

Diff between Cyclops versions 3.1.2 dated 2021-06-16 and 3.2.0 dated 2022-06-30

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Package s2net updated to version 1.0.4 with previous version 1.0.1 dated 2020-01-16

Title: The Generalized Semi-Supervised Elastic-Net
Description: Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models. We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 <doi:10.1080/10618600.2012.657139> for references on the Joint Trained Elastic-Net.
Author: Juan C. Laria [aut, cre] , Line H. Clemmensen [aut]
Maintainer: Juan C. Laria <juank.laria@gmail.com>

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Package ProAE updated to version 0.2.10 with previous version 0.2.9 dated 2022-05-31

Title: PRO-CTCAE Scoring, Analysis, and Graphical Tools
Description: A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).
Author: Blake Langlais [aut, cre], Brie Noble [ctb], Molly Klanderman [ctb], Amylou Dueck [aut]
Maintainer: Blake Langlais <langlais.blake@mayo.edu>

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Package seminr updated to version 2.3.1 with previous version 2.3.0 dated 2022-01-04

Title: Building and Estimating Structural Equation Models
Description: A powerful, easy to syntax for specifying and estimating complex Structural Equation Models. Models can be estimated using Partial Least Squares Path Modeling or Covariance-Based Structural Equation Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).
Author: Soumya Ray [aut, ths], Nicholas Patrick Danks [aut, cre], Andre Calero Valdez [aut], Juan Manuel Velasquez Estrada [ctb], James Uanhoro [ctb], Johannes Nakayama [ctb], Lilian Koyan [ctb], Laura Burbach [ctb], Arturo Heynar Cano Bejar [ctb], Susanne A [...truncated...]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package qbr updated to version 1.1.0 with previous version 1.0.0 dated 2022-05-18

Title: Access the 'Quickbase' JSON API
Description: Programmatically access the 'Quickbase' JSON API <https://developer.quickbase.com>. You supply parameters for an API call, 'qbr' delivers an http request to the API endpoint and returns its response. Outputs follow 'tidyverse' philosophy.
Author: John Erdmann [aut, cre], Keene State College [cph, fnd]
Maintainer: John Erdmann <john.erdmann@keene.edu>

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Package multiplex updated to version 2.9.9 with previous version 2.9.8 dated 2022-02-09

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for the analysis of multiple social networks are delivered with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. Among other things, it makes it possible to create and manipulate multiplex, multimode, and multilevel network data with different formats. There are effective ways available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup or the semiring structure with the relational bundles occurring in different types of multivariate network data sets. It also provides an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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Package rytstat updated to version 0.3.0 with previous version 0.2.1 dated 2021-12-07

Title: Work with 'YouTube API'
Description: Provide function for get data from 'YouTube Data API' <https://developers.google.com/youtube/v3/docs/>, 'YouTube Analytics API' <https://developers.google.com/youtube/analytics/reference/> and 'YouTube Reporting API' <https://developers.google.com/youtube/reporting/v1/reports>.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package PCDimension updated to version 1.1.13 with previous version 1.1.11 dated 2019-05-06

Title: Finding the Number of Significant Principal Components
Description: Implements methods to automate the Auer-Gervini graphical Bayesian approach for determining the number of significant principal components. Automation uses clustering, change points, or simple statistical models to distinguish "long" from "short" steps in a graph showing the posterior number of components as a function of a prior parameter. See <doi:10.1101/237883>.
Author: Kevin R. Coombes, Min Wang
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package DDL updated to version 1.0.1 with previous version 1.0.0 dated 2022-04-15

Title: Doubly Debiased Lasso (DDL)
Description: Statistical inference for the regression coefficients in high-dimensional linear models with hidden confounders. The Doubly Debiased Lasso method was proposed in <arXiv:2004.03758>.
Author: Domagoj Ćevid [aut], Chengzhu Huang [aut], Zijian Guo [aut, cre], Peter Buehlmann [aut]
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>

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Package xSub updated to version 3.0.2 with previous version 3.0.1 dated 2020-06-15

Title: Cross-National Data on Sub-National Violence
Description: Tools to download and merge data files on sub-national conflict, violence and protests from <http://www.x-sub.org>.
Author: Yuri Zhukov [aut, cre], Christian Davenport [aut], Nadiya Kostyuk [aut]
Maintainer: Yuri Zhukov <zhukov@umich.edu>

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Package TraitStats updated to version 1.0.2 with previous version 1.0.1 dated 2021-01-06

Title: Statistical Data Analysis for Randomized Block Design Experiments
Description: Functions for analysis of bulk data generated from experiments in Randomized block design as per Panse and Sukhatme (1954) <https://books.google.co.in/books?id=Efo9AAAAYAAJ>. Computes analysis of variance; Descriptive statistics parameter like Mean, Minimum, Maximum, CV, Standard error of mean, Standard Error of deviation, CD; Genetic parameter statistics Genotypic Coefficient of Variation, Phenotypic Coefficient of Variation, Heritability in broad sense, Genetic Advance and Genetic Advance per cent mean; Variance and Co-variance matrix of genotypic, phenotypic and environmental; Correlation of genotypic, phenotypic and environmental. Further includes directly publication ready tables.
Author: Nitesh Shirur Devaraja [aut, cre], Parashuram Patroti [aut], Shilpa Parashuram [aut], Aravind J [ctb] , Sunil Kumar [ctb]
Maintainer: Nitesh Shirur Devaraja <mail@niteshgpb.in>

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Package Mercator updated to version 1.1.2 with previous version 1.1.1 dated 2021-07-16

Title: Clustering and Visualizing Distance Matrices
Description: Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.
Author: Kevin R. Coombes, Caitlin E. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package CloneSeeker updated to version 1.0.11 with previous version 1.0.10 dated 2020-04-27

Title: Seeking and Finding Clones in Copy Number and Sequencing Data
Description: Defines the classes and functions used to simulate and to analyze data sets describing copy number variants and, optionally, sequencing mutations in order to detect clonal subsets. See Zucker et al. (2019) <doi:10.1093/bioinformatics/btz057>.
Author: Kevin R. Coombes, Mark Zucker
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Permanent link

Package tvReg updated to version 0.5.7 with previous version 0.5.6 dated 2021-09-22

Title: Time-Varying Coefficient for Single and Multi-Equation Regressions
Description: Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.
Author: Isabel Casas [aut, cre], Ruben Fernandez-Casal [aut]
Maintainer: Isabel Casas <casasis@gmail.com>

Diff between tvReg versions 0.5.6 dated 2021-09-22 and 0.5.7 dated 2022-06-30

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More information about tvReg at CRAN
Permanent link

Package LSAfun updated to version 0.6.3 with previous version 0.6.2 dated 2022-05-01

Title: Applied Latent Semantic Analysis (LSA) Functions
Description: Provides functions that allow for convenient working with vector space models of semantics/distributional semantic models/word embeddings. Originally built for LSA models (hence the name), but can be used for all such vector-based models. For actually building a vector semantic space, use the package 'lsa' or other specialized software. Downloadable semantic spaces can be found at <https://sites.google.com/site/fritzgntr/software-resources>.
Author: Fritz Guenther [aut, cre]
Maintainer: Fritz Guenther <fritz.guenther@uni-tuebingen.de>

Diff between LSAfun versions 0.6.2 dated 2022-05-01 and 0.6.3 dated 2022-06-30

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More information about LSAfun at CRAN
Permanent link

Package dbcsp updated to version 0.0.2.1 with previous version 0.0.2.0 dated 2022-02-17

Title: Distance-Based Common Spatial Patterns
Description: A way to apply Distance-Based Common Spatial Patterns (DB-CSP) techniques in different fields, both classical Common Spatial Patterns (CSP) as well as DB-CSP. The method is composed of two phases: applying the DB-CSP algorithm and performing a classification. The main idea behind the CSP is to use a linear transform to project data into low-dimensional subspace with a projection matrix, in such a way that each row consists of weights for signals. This transformation maximizes the variance of two-class signal matrices.The dbcsp object is created to compute the projection vectors. For exploratory and descriptive purpose, plot and boxplot functions can be used. Functions train, predict and selectQ are implemented for the classification step.
Author: Itziar Irigoien [aut], Concepcion Arenas [aut], Itsaso Rodriguez-Moreno [cre, aut]
Maintainer: Itsaso Rodriguez-Moreno <itsaso.rodriguez@ehu.eus>

Diff between dbcsp versions 0.0.2.0 dated 2022-02-17 and 0.0.2.1 dated 2022-06-30

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More information about dbcsp at CRAN
Permanent link

Package torchopt updated to version 0.1.2 with previous version 0.1.1 dated 2022-04-25

Title: Advanced Optimizers for Torch
Description: Optimizers for 'torch' deep learning library. These functions include recent results published in the literature and are not part of the optimizers offered in 'torch'. Prospective users should test these optimizers with their data, since performance depends on the specific problem being solved. The packages includes the following optimizers: (a) 'adabelief' by Zhuang et al (2020), <arXiv:2010.07468>; (b) 'adabound' by Luo et al.(2019), <arXiv:1902.09843>; (c) 'adahessian' by Yao et al.(2021) <arXiv:2006.00719>; (d) 'adamw' by Loshchilov & Hutter (2019), <arXiv:1711.05101>; (e) 'madgrad' by Defazio and Jelassi (2021), <arXiv:2101.11075>; (f) 'nadam' by Dozat (2019), <https://openreview.net/pdf/OM0jvwB8jIp57ZJjtNEZ.pdf>; (g) 'qhadam' by Ma and Yarats(2019), <arXiv:1810.06801>; (h) 'radam' by Liu et al. (2019), <arXiv:1908.03265>; (i) 'swats' by Shekar and Sochee (2018), <arXiv:1712.07628>; (j) 'yogi' by Zaheer et al.(2019), <https:://papers.nips.cc/paper/8186-adaptive-methods-for-nonconvex-optimization>.
Author: Gilberto Camara [aut, cre], Rolf Simoes [aut], Daniel Falbel [aut], Felipe Souza [aut], Alber Sanchez [aut]
Maintainer: Gilberto Camara <gilberto.camara.inpe@gmail.com>

Diff between torchopt versions 0.1.1 dated 2022-04-25 and 0.1.2 dated 2022-06-30

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More information about torchopt at CRAN
Permanent link

Package sigminer updated to version 2.1.5 with previous version 2.1.4 dated 2022-04-26

Title: Extract, Analyze and Visualize Mutational 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' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). 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] , Ziyu Tao [aut] , Huimin Li [aut] , Tao Wu [aut] , Xue-Song Liu [aut, ctb] , Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between sigminer versions 2.1.4 dated 2022-04-26 and 2.1.5 dated 2022-06-30

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More information about sigminer at CRAN
Permanent link

Package MetaLandSim updated to version 1.0.10 with previous version 1.0.9 dated 2022-01-27

Title: Landscape and Range Expansion Simulation
Description: Tools to generate random landscape graphs, evaluate species occurrence in dynamic landscapes, simulate future landscape occupation and evaluate range expansion when new empty patches are available (e.g. as a result of climate change). References: Mestre, F., Canovas, F., Pita, R., Mira, A., Beja, P. (2016) <doi:10.1016/j.envsoft.2016.03.007>; Mestre, F., Risk, B., Mira, A., Beja, P., Pita, R. (2017) <doi:10.1016/j.ecolmodel.2017.06.013>; Mestre, F., Pita, R., Mira, A., Beja, P. (2020) <doi:10.1186/s12898-019-0273-5>.
Author: Frederico Mestre, Fernando Canovas, Benjamin Risk, Ricardo Pita, Antonio Mira, Pedro Beja.
Maintainer: Frederico Mestre <mestre.frederico@gmail.com>

Diff between MetaLandSim versions 1.0.9 dated 2022-01-27 and 1.0.10 dated 2022-06-30

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Package hardhat updated to version 1.2.0 with previous version 1.1.0 dated 2022-06-10

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, fnd]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between hardhat versions 1.1.0 dated 2022-06-10 and 1.2.0 dated 2022-06-30

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New package VariantScan with initial version 1.1.9
Package: VariantScan
Version: 1.1.9
Date: 2022-06-25
Title: A Machine Learning Tool for Genetic Association Studies
Description: Portable, scalable and highly computationally efficient tool for genetic association studies."VariantScan" provides a set of machine learning methods (Linear, Local Polynomial Regression Fitting and Generalized Additive Model with Local Polynomial Smoothing) for genetic association studies that test for disease or trait association with genetic variants (biomarkers, e.g.,genomic (genetic loci), transcriptomic (gene expressions), epigenomic (methylations), proteomic (proteins), metabolomic (metabolites)). It is particularly useful when local associations and complex nonlinear associations exist.
Maintainer: Xinghu Qin <qin.xinghu@163.com>
Depends: R (>= 3.0)
License: GPL (>= 3)
SystemRequirements: GNU make
URL: https://github.com/xinghuq/VariantScan
BugReports: https://github.com/xinghuq/VariantScan/issues
Imports: stats,SNPRelate,caret,gam,ModelMetrics
VignetteBuilder: knitr
NeedsCompilation: no
Suggests: knitr,testthat,rmarkdown,ggplot2
Packaged: 2022-06-29 02:19:41 UTC; Qin_st_andrews
Author: Xinghu Qin [aut, cre, cph] , Tianzi Liu [aut], Peilin Jia [aut]
Repository: CRAN
Date/Publication: 2022-06-30 11:50:06 UTC

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New package TrendTM with initial version 2.0.14
Package: TrendTM
Title: Trend of High-Dimensional Time Series Matrix Estimation
Version: 2.0.14
Date: 2022-06-01
Author: Emilie Lebarbier [aut, cre], Nicolas Marie [aut], Amelie Rosier [aut, cre].
Maintainer: Emilie Lebarbier <emilie.lebarbier@parisnanterre.fr>
Description: Matrix factorization for multivariate time series with both low rank and temporal structures. The procedure is the one proposed by Alquier, P. and Marie, N. Matrix factorization for multivariate time series analysis. Electronic journal of statistics, 13(2), 4346-4366 (2019).
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: softImpute, capushe, fda
NeedsCompilation: no
Packaged: 2022-06-29 11:54:43 UTC; lebarbier
Repository: CRAN
Date/Publication: 2022-06-30 12:00:02 UTC

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New package TimeVarConcurrentModel with initial version 1.0
Package: TimeVarConcurrentModel
Title: Concurrent Multivariate Models with Time-Varying Coefficients
Version: 1.0
Date: 2022-06-23
Imports: Bolstad2, fda
Description: Provides a hypothesis test and variable selection algorithm for use in time-varying, concurrent regression models. The hypothesis test function is also accompanied by a plotting function which will show the estimated beta(s) and confidence band(s) from the hypothesis test. The hypothesis test function helps the user identify significant covariates within the scope of a time-varying concurrent model. The plots will show the amount of area that falls outside the confidence band(s) which is used for the test statistic within the hypothesis test.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-06-28 22:04:03 UTC; leave
Author: Adriano Zambom [aut], Chance Vandergeugten [aut, cre]
Maintainer: Chance Vandergeugten <leaveitalltochance@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-30 11:40:05 UTC

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New package rflashtext with initial version 0.1.0
Package: rflashtext
Title: FlashText Algorithm for Finding and Replacing Words
Version: 0.1.0
Description: Implementation of the FlashText algorithm, by Singh (2017) <arXiv:1711.00046>. It can be used to find and replace words in a given text with only one pass over the document.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/AbrJA/rflashtext
BugReports: https://github.com/AbrJA/rflashtext/issues
Imports: R6
NeedsCompilation: no
Packaged: 2022-06-28 21:50:03 UTC; ajaimes
Author: Abraham Jaimes [aut, cre]
Maintainer: Abraham Jaimes <ajaimes@occ.com.mx>
Repository: CRAN
Date/Publication: 2022-06-30 11:40:02 UTC

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New package accessibility with initial version 0.1.0
Package: accessibility
Title: Transport Accessibility Metrics
Version: 0.1.0
Description: A set of fast and convenient functions to calculate multiple transport accessibility measures. Given a pre-computed travel cost matrix in long format combined with land-use data (e.g. location of jobs, healthcare, population), the package allows one to calculate active and passive accessibility levels using multiple accessibility metrics such as: cumulative opportunity measure (using either travel time cutoff or interval), minimum travel cost to closest N number of activities, gravitational measures and different floating catchment area methods.
License: MIT + file LICENSE
URL: https://github.com/ipeaGIT/accessibility
BugReports: https://github.com/ipeaGIT/accessibility/issues
Depends: R (>= 3.5.0)
Imports: checkmate, data.table, utils
Suggests: covr, ggplot2, knitr, r5r, rmarkdown, sf, stats, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-06-29 11:27:31 UTC; user
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-30 11:50:02 UTC

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Package toscutil updated to version 2.5.0 with previous version 2.1.0 dated 2022-02-22

Title: Utility Functions
Description: Base R sometimes requires verbose statements for simple, often recurring tasks, such as printing text without trailing space, ending with newline. This package aims at providing shorthands for such tasks.
Author: Tobias Schmidt [aut, cre]
Maintainer: Tobias Schmidt <tobias.schmidt331@gmail.com>

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Package esaBcv updated to version 1.2.1.1 with previous version 1.2.1 dated 2015-05-29

Title: Estimate Number of Latent Factors and Factor Matrix for Factor Analysis
Description: These functions estimate the latent factors of a given matrix, no matter it is high-dimensional or not. It tries to first estimate the number of factors using bi-cross-validation and then estimate the latent factor matrix and the noise variances. For more information about the method, see Art B. Owen and Jingshu Wang 2015 archived article on factor model (<arXiv:1503.03515>).
Author: Art B. Owen [aut], Jingshu Wang [aut, cre]
Maintainer: Jingshu Wang <wangjingshususan@gmail.com>

Diff between esaBcv versions 1.2.1 dated 2015-05-29 and 1.2.1.1 dated 2022-06-30

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Package erpR (with last version 0.2.0) was removed from CRAN

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

2014-05-14 0.2.0

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Package RVideoPoker (with last version 0.3) was removed from CRAN

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

2012-06-20 0.3

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Package maboost (with last version 1.0-0) was removed from CRAN

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

2014-11-25 1.0-0

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Package VdgRsm (with last version 1.5) was removed from CRAN

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

2015-03-30 1.5
2015-02-01 1.4
2014-11-29 1.3
2014-10-11 1.02
2014-03-06 1.01

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Package granova (with last version 2.1) was removed from CRAN

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

2014-08-25 2.1
2014-08-21 2.0.1
2010-11-05 2.0
2010-07-29 1.4
2010-04-14 1.3
2008-09-29 1.2
2007-08-14 1.0

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Package forensim (with last version 4.3) was removed from CRAN

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

2013-09-15 4.3
2013-05-05 4.1
2013-02-13 4.0
2013-02-12 3.2.2
2012-12-21 3.2.1
2012-08-07 3.2
2012-06-09 3.1
2011-08-10 2.0
2011-04-24 1.1-9
2010-10-16 1.1-8
2010-07-24 1.1-7
2010-06-03 1.1-5
2010-03-01 1.1-4
2009-12-18 1.1-3
2009-11-11 1.1-2
2009-10-26 1.1-1

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Package MetaPath (with last version 1.0) was removed from CRAN

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

2015-10-03 1.0

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Package StabilizedRegression updated to version 1.1 with previous version 1.0 dated 2020-03-13

Title: Stabilizing Regression and Variable Selection
Description: Contains an implementation of 'StabilizedRegression', a regression framework for heterogeneous data introduced in Pfister et al. (2021) <arXiv:1911.01850>. The procedure uses averaging to estimate a regression of a set of predictors X on a response variable Y by enforcing stability with respect to a given environment variable. The resulting regression leads to a variable selection procedure which allows to distinguish between stable and unstable predictors. The package further implements a visualization technique which illustrates the trade-off between stability and predictiveness of individual predictors.
Author: Niklas Pfister [aut, cre], Evan Williams [ctb]
Maintainer: Niklas Pfister <np@math.ku.dk>

Diff between StabilizedRegression versions 1.0 dated 2020-03-13 and 1.1 dated 2022-06-30

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Package read.gt3x updated to version 1.2.0 with previous version 1.0.2 dated 2021-01-13

Title: Parse 'ActiGraph' 'GT3X'/'GT3X+' 'Accelerometer' Data
Description: Implements a high performance C++ parser for 'ActiGraph' 'GT3X'/'GT3X+' data format (with extension '.gt3x') for 'accelerometer' samples. Activity samples can be easily read into a matrix or data.frame. This allows for storing the raw 'accelerometer' samples in the original binary format to reserve space.
Author: Tuomo Nieminen [aut, cre], John Muschelli [aut] , Patrick Bos [ctb] , Vincent van Hees [ctb]
Maintainer: Tuomo Nieminen <tuomo.a.nieminen@gmail.com>

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Package priceR updated to version 0.1.62 with previous version 0.1.6 dated 2021-05-25

Title: Economics and Pricing Tools
Description: Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020) <https://sdw.ecb.europa.eu/curConverter.do>.
Author: Steve Condylios [aut, cre]
Maintainer: Steve Condylios <steve.condylios@gmail.com>

Diff between priceR versions 0.1.6 dated 2021-05-25 and 0.1.62 dated 2022-06-30

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Package permuco updated to version 1.1.2 with previous version 1.1.1 dated 2021-10-22

Title: Permutation Tests for Regression, (Repeated Measures) ANOVA/ANCOVA and Comparison of Signals
Description: Functions to compute p-values based on permutation tests. Regression, ANOVA and ANCOVA, omnibus F-tests, marginal unilateral and bilateral t-tests are available. Several methods to handle nuisance variables are implemented (Kherad-Pajouh, S., & Renaud, O. (2010) <doi:10.1016/j.csda.2010.02.015> ; Kherad-Pajouh, S., & Renaud, O. (2014) <doi:10.1007/s00362-014-0617-3> ; Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) <doi:10.1016/j.neuroimage.2014.01.060>). An extension for the comparison of signals issued from experimental conditions (e.g. EEG/ERP signals) is provided. Several corrections for multiple testing are possible, including the cluster-mass statistic (Maris, E., & Oostenveld, R. (2007) <doi:10.1016/j.jneumeth.2007.03.024>) and the threshold-free cluster enhancement (Smith, S. M., & Nichols, T. E. (2009) <doi:10.1016/j.neuroimage.2008.03.061>).
Author: Jaromil Frossard [aut, cre], Olivier Renaud [aut]
Maintainer: Jaromil Frossard <jaromil.frossard@gmail.com>

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Package mod2rm updated to version 0.2.1 with previous version 0.1.0 dated 2022-05-19

Title: Moderation Analysis for Two-Instance Repeated Measures Designs
Description: Multiple moderation analysis for two-instance repeated measures designs, with up to three simultaneous moderators (dichotomous and/or continuous) with additive or multiplicative relationship. Includes analyses of simple slopes and conditional effects at (automatically determined or manually set) values of the moderator(s), as well as an implementation of the Johnson-Neyman procedure for determining regions of significance in single moderator models. Based on Montoya, A. K. (2018) "Moderation analysis in two-instance repeated measures designs: Probing methods and multiple moderator models" <doi:10.3758/s13428-018-1088-6> .
Author: Matthias Forstmann [aut, cre]
Maintainer: Matthias Forstmann <matthias.forstmann@uzh.ch>

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Package mlt updated to version 1.4-2 with previous version 1.4-1 dated 2022-03-31

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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 tests/glm-Ex.R          |    3 ++-
 tests/glm-Ex.Rout.save  |   14 ++++++--------
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Package fastRG updated to version 0.3.1 with previous version 0.3.0 dated 2021-02-26

Title: Sample Generalized Random Dot Product Graphs in Linear Time
Description: Samples generalized random product graph, a generalization of a broad class of network models. Given matrices X, S, and Y with with non-negative entries, samples a matrix with expectation X S Y^T and independent Poisson or Bernoulli entries using the fastRG algorithm of Rohe et al. (2017) <https://www.jmlr.org/papers/v19/17-128.html>. The algorithm first samples the number of edges and then puts them down one-by-one. As a result it is O(m) where m is the number of edges, a dramatic improvement over element-wise algorithms that which require O(n^2) operations to sample a random graph, where n is the number of nodes.
Author: Alex Hayes [aut, cre, cph] , Karl Rohe [aut, cph], Jun Tao [aut], Xintian Han [aut], Norbert Binkiewicz [aut]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between fastRG versions 0.3.0 dated 2021-02-26 and 0.3.1 dated 2022-06-30

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 fastRG-0.3.1/fastRG/LICENSE                                           |    4 
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 fastRG-0.3.1/fastRG/R/directed_erdos_renyi.R                          |   71 +---
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 54 files changed, 934 insertions(+), 822 deletions(-)

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Package earthtide updated to version 0.0.14 with previous version 0.0.12 dated 2022-04-20

Title: Parallel Implementation of 'ETERNA 3.40' for Prediction and Analysis of Earth Tides
Description: This is a port of 'Fortran ETERNA 3.4' <http://igets.u-strasbg.fr/soft_and_tool.php> by H.G. Wenzel for calculating synthetic Earth tides using the Hartmann and Wenzel (1994) <doi:10.1029/95GL03324> or Kudryavtsev (2004) <doi:10.1007/s00190-003-0361-2> tidal catalogs.
Author: Jonathan Kennel [aut, cre, trl], Beth Parker [ths], Wenzel Hans-Georg [ctb]
Maintainer: Jonathan Kennel <jkennel@uoguelph.ca>

Diff between earthtide versions 0.0.12 dated 2022-04-20 and 0.0.14 dated 2022-06-30

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 18 files changed, 603 insertions(+), 339 deletions(-)

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Package BayesSUR updated to version 2.1-0 with previous version 2.0-1 dated 2021-11-30

Title: Bayesian Seemingly Unrelated Regression
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2021) <arXiv:2101.05899>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

Diff between BayesSUR versions 2.0-1 dated 2021-11-30 and 2.1-0 dated 2022-06-30

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 src/ESS_Sampler.h     |   21 +++++++++++++++++---
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 src/SUR_Chain.h       |    3 ++
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 13 files changed, 91 insertions(+), 40 deletions(-)

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Package asteRisk updated to version 1.4.1 with previous version 1.4.0 dated 2022-03-08

Title: Computation of Satellite Position
Description: Provides basic functionalities to calculate the position of satellites given a known state vector. The package includes implementations of the SGP4 and SDP4 simplified perturbation models to propagate orbital state vectors, as well as utilities to read TLE files and convert coordinates between different frames of reference. Several of the functionalities of the package (including the high-precision numerical orbit propagator) require the coefficients and data included in the 'asteRiskData' package, available in a 'drat' repository. To install this data package, run 'install.packages("asteRiskData", repos="https://rafael-ayala.github.io/drat/")'. Felix R. Hoots, Ronald L. Roehrich and T.S. Kelso (1988) <https://celestrak.com/NORAD/documentation/spacetrk.pdf>. David Vallado, Paul Crawford, Richard Hujsak and T.S. Kelso (2012) <doi:10.2514/6.2006-6753>. Felix R. Hoots, Paul W. Schumacher Jr. and Robert A. Glover (2014) <doi:10.2514/1.9161>.
Author: Rafael Ayala [aut, cre] , Daniel Ayala [aut] , David Ruiz [aut] , Lara Selles Vidal [aut]
Maintainer: Rafael Ayala <rafael.ayala@oist.jp>

Diff between asteRisk versions 1.4.0 dated 2022-03-08 and 1.4.1 dated 2022-06-30

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New package yfR with initial version 1.0.0
Package: yfR
Title: Downloads and Organizes Financial Data from Yahoo Finance
Version: 1.0.0
Description: Facilitates download of financial data from Yahoo Finance <https://finance.yahoo.com/>, a vast repository of stock price data across multiple financial exchanges. The package offers a local caching system and support for parallel computation.
URL: https://github.com/ropensci/yfR, https://docs.ropensci.org/yfR/
BugReports: https://github.com/ropensci/yfR/issues
Depends: R (>= 4.0.0)
Imports: stringr, curl, tidyr, lubridate, furrr, purrr, future, tibble, zoo, cli, readr, rvest, dplyr, quantmod (>= 0.4.20), magrittr, humanize, methods
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, covr, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-28 19:10:05 UTC; msperlin
Author: Marcelo Perlin [aut, cre], Nic Crane [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/523>), Alexander Fischer [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/523>)
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-30 06:20:02 UTC

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New package scISR with initial version 0.1.1
Package: scISR
Title: Single-Cell Imputation using Subspace Regression
Version: 0.1.1
Maintainer: Duc Tran <duct@nevada.unr.edu>
Description: Provides an imputation pipeline for single-cell RNA sequencing data. The 'scISR' method uses a hypothesis-testing technique to identify zero-valued entries that are most likely affected by dropout events and estimates the dropout values using a subspace regression model (Tran et.al. (2022) <DOI:10.1038/s41598-022-06500-4>).
License: LGPL
Depends: R (>= 3.4)
Imports: cluster, entropy, stats, utils, parallel, irlba, PINSPlus, matrixStats, markdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Suggests: testthat, knitr, mclust
VignetteBuilder: knitr
URL: https://github.com/duct317/scISR
BugReports: https://github.com/duct317/scISR/issues
Packaged: 2022-06-28 19:32:08 UTC; dtran
Author: Duc Tran [aut, cre], Bang Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd]
Repository: CRAN
Date/Publication: 2022-06-30 06:20:08 UTC

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New package sciRmdTheme with initial version 0.1
Package: sciRmdTheme
Title: Upgraded 'Rmarkdown' Themes for Scientific Writing
Version: 0.1
Author: Obinna Obianom
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Description: A set of 'Rmarkdown' themes for creating scientific and professional documents. Simple interface with features to ease navigation across the page and sub-pages.
License: MIT + file LICENSE
URL: https://github.com/oobianom/sciRmdTheme
BugReports: https://github.com/oobianom/sciRmdTheme
Depends: R (>= 3.4)
Imports: utils
Suggests: rmarkdown, knitr
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
LazyData: false
NeedsCompilation: no
Packaged: 2022-06-28 21:25:29 UTC; in198
Repository: CRAN
Date/Publication: 2022-06-30 06:20:06 UTC

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New package farr with initial version 0.2.27
Package: farr
Title: Data and Code for Financial Accounting Research
Version: 0.2.27
Description: Provides handy functions and data to support a course book for accounting research. Gow, Ian and Tongqing Ding (2022) "Accounting Research: An Introductory Course" <https://iangow.github.io/far_book/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dbplyr (>= 2.2.0), dplyr, magrittr, rlang, tidyr, tibble, readr, stringr, DBI, lubridate
Depends: R (>= 3.5.0)
Suggests: RPostgres, knitr, rmarkdown, testthat (>= 3.0.0), spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-06-28 16:41:11 UTC; igow
Author: Ian Gow [aut, cre]
Maintainer: Ian Gow <iandgow@gmail.com>
Repository: CRAN
Date/Publication: 2022-06-30 06:10:02 UTC

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New package extrafrail with initial version 1.0
Package: extrafrail
Title: Estimation and Additional Tools for Alternative Multivariate Frailty Models
Version: 1.0
Date: 2022-06-09
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>
Description: Provide estimation and data generation tools for some new multivariate frailty models. This initial version includes only the weighted Lindley as the distribution for the frailty terms. For the basal model, it is considered a parametric approach based on the Weibull distribution and a semiparametric approach. For details, see Gallardo and Bourguignon (2022) <arXiv:2206.12973>.
Depends: R (>= 4.0.0), stats
Imports: survival, pracma
Suggests: frailtypack
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-06-28 16:49:30 UTC; Usuario
Repository: CRAN
Date/Publication: 2022-06-30 06:10:07 UTC

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