Sat, 02 May 2020

Package lqr updated to version 2.11 with previous version 2.0 dated 2020-01-09

Title: Robust Linear Quantile Regression
Description: It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. This family of distribution includes skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated Normal distribution. It also performs logistic quantile regression for bounded responses as shown in Bottai et.al.(2009) <doi:10.1002/sim.3781>. It provides estimates and full inference. It also provides envelopes plots for assessing the fit and confidences bands when several quantiles are provided simultaneously.
Author: Christian E. Galarza, Luis Benites, Victor H. Lachos
Maintainer: Christian E. Galarza <cgalarza88@gmail.com>

Diff between lqr versions 2.0 dated 2020-01-09 and 2.11 dated 2020-05-02

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New package eeptools with initial version 1.2.4
Package: eeptools
Type: Package
Title: Convenience Functions for Education Data
Version: 1.2.4
Authors@R: c(person(c("Jason", "P."), "Becker", role = c("ctb"), email = "jason+sitemail@jbecker.co"), person(c("Jared", "E."), "Knowles", role=c("aut", "cre"), email="jknowles@gmail.com"))
Description: Collection of convenience functions to make working with administrative records easier and more consistent. Includes functions to clean strings, and identify cut points. Also includes three example data sets of administrative education records for learning how to process records with errors.
License: GPL-3
Depends: R (>= 2.15.1), ggplot2
Imports: arm, data.table, vcd, maptools
Suggests: testthat, stringr, knitr, rmarkdown, MASS
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.0.2
URL: https://github.com/jknowles/eeptools
BugReports: https://github.com/jknowles/eeptools/issues
NeedsCompilation: no
Packaged: 2020-05-02 18:03:38 UTC; Jared
Author: Jason P. Becker [ctb], Jared E. Knowles [aut, cre]
Maintainer: Jared E. Knowles <jknowles@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-02 22:10:05 UTC

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Package symengine updated to version 0.1.2 with previous version 0.1.1 dated 2020-04-28

Title: Interface to the 'SymEngine' Library
Description: Provides an R interface to 'SymEngine' <https://github.com/symengine/>, a standalone 'C++' library for fast symbolic manipulation. The package has functionalities for symbolic computation like calculating exact mathematical expressions, solving systems of linear equations and code generation.
Author: Jialin Ma [cre, aut], Isuru Fernando [aut], Xin Chen [aut]
Maintainer: Jialin Ma <marlin@inventati.org>

Diff between symengine versions 0.1.1 dated 2020-04-28 and 0.1.2 dated 2020-05-02

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Package optimParallel updated to version 1.0-1 with previous version 1.0 dated 2020-02-25

Title: Parallel Version of the L-BFGS-B Optimization Method
Description: Provides a parallel version of the L-BFGS-B method of optim(). The main function of the package is optimParallel(), which has the same usage and output as optim(). Using optimParallel() can significantly reduce the optimization time.
Author: Florian Gerber
Maintainer: Florian Gerber <florian.gerber@math.uzh.ch>

Diff between optimParallel versions 1.0 dated 2020-02-25 and 1.0-1 dated 2020-05-02

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Package bama updated to version 1.0.1 with previous version 1.0.0 dated 2020-04-27

Title: High Dimensional Bayesian Mediation Analysis
Description: Perform mediation analysis in the presence of high-dimensional mediators based on the potential outcome framework. Bayesian Mediation Analysis (BAMA), developed by Song et al (2019) <doi:10.1111/biom.13189>, relies on two Bayesian sparse linear mixed models to simultaneously analyze a relatively large number of mediators for a continuous exposure and outcome assuming a small number of mediators are truly active. This sparsity assumption also allows the extension of univariate mediator analysis by casting the identification of active mediators as a variable selection problem and applying Bayesian methods with continuous shrinkage priors on the effects.
Author: Alexander Rix [aut, cre], Yanyi Song [aut]
Maintainer: Alexander Rix <alexrix@umich.edu>

Diff between bama versions 1.0.0 dated 2020-04-27 and 1.0.1 dated 2020-05-02

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Package SkyWatchr (with last version 0.8-2) was removed from CRAN

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

2017-07-01 0.8-2
2017-01-08 0.5-1
2016-12-04 0.5-0

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Package MultiOrd updated to version 2.4.2 with previous version 2.4.1 dated 2019-05-14

Title: Generation of Multivariate Ordinal Variates
Description: A method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) <DOI:10.1080/10629360600569246>.
Author: Anup Amatya, Hakan Demirtas, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>

Diff between MultiOrd versions 2.4.1 dated 2019-05-14 and 2.4.2 dated 2020-05-02

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Package rtemps updated to version 0.5.0 with previous version 0.4.0 dated 2020-03-17

Title: R Templates for Reproducible Data Analyses
Description: A collection of R Markdown templates for nicely structured, reproducible data analyses in R. The templates have embedded examples on how to write citations, footnotes, equations and use colored message/info boxes, how to cross-reference different parts/sections in the report, provide a nice table of contents (toc) with a References section and proper R session information as well as examples using DT tables and ggplot2 graphs. The bookdown Lite template theme supports code folding.
Author: John Zobolas [aut, cph, cre] (<https://orcid.org/0000-0002-3609-8674>)
Maintainer: John Zobolas <bblodfon@gmail.com>

Diff between rtemps versions 0.4.0 dated 2020-03-17 and 0.5.0 dated 2020-05-02

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New package mcb with initial version 0.1.9
Package: mcb
Type: Package
Title: Model Confidence Bounds
Version: 0.1.9
Author: Yang Li, Yichen Qin, Heming Deng
Maintainer: Heming Deng<dheming@ruc.edu.cn>
Description: When choosing proper variable selection methods, it is important to consider the uncertainty of a certain method. The Model Confidence Bound for variable selection identifies two nested models (upper and lower confidence bound models) containing the true model at a given confidence level. A good variable selection method is the one of which the Model Confidence Bound under a certain confidence level has the shortest width. When visualizing the variability of model selection and comparing different model selection procedures, Model Uncertainty Curve is a good graphical tool. A good variable selection method is the one of whose Model Uncertainty Curve will tend to arch towards the upper left corner. This function aims to obtain the Model Confidence Bound and draw the Model Uncertainty Curve of certain single model selection method under a coverage rate equal or little higher than user-given confidential level. About what Model Confidence Bound is and how it work please see Li,Y., Luo,Y., Ferrari,D., Hu,X. and Qin,Y. (2019) Model Confidence Bounds for Variable Selection. Biometrics, 75:392-403. <DOI:10.1111/biom.13024>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: parallel,methods,leaps,lars,MASS,glmnet,ncvreg,parcor,smoothmest,ggplot2,reshape2
Depends: R (>= 3.6.0)
Suggests: flare
NeedsCompilation: no
Packaged: 2020-04-30 06:10:59 UTC; 超会议咸鱼
Repository: CRAN
Date/Publication: 2020-05-02 17:20:02 UTC

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Package zoo updated to version 1.8-8 with previous version 1.8-7 dated 2020-01-10

Title: S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
Description: An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Gabor Grothendieck [aut], Jeffrey A. Ryan [aut], Joshua M. Ulrich [ctb], Felix Andrews [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between zoo versions 1.8-7 dated 2020-01-10 and 1.8-8 dated 2020-05-02

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Package rlang updated to version 0.4.6 with previous version 0.4.5 dated 2020-03-01

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

Diff between rlang versions 0.4.5 dated 2020-03-01 and 0.4.6 dated 2020-05-02

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Package protViz updated to version 0.6.8 with previous version 0.6.4 dated 2020-04-17

Title: Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
Description: Helps with quality checks, visualizations and analysis of mass spectrometry data, coming from proteomics experiments. The package is developed, tested and used at the Functional Genomics Center Zurich <https://fgcz.ch>. We use this package mainly for prototyping, teaching, and having fun with proteomics data. But it can also be used to do data analysis for small scale data sets.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>), Jonas Grossmann [aut] (<https://orcid.org/0000-0002-6899-9020>), Simon Barkow-Oesterreicher [ctb]
Maintainer: Christian Panse <cp@fgcz.ethz.ch>

Diff between protViz versions 0.6.4 dated 2020-04-17 and 0.6.8 dated 2020-05-02

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Package windAC updated to version 1.2.2 with previous version 1.2.1 dated 2020-02-21

Title: Area Correction Methods
Description: Post-construction fatality monitoring studies at wind facilities are based on data from searches for bird and bat carcasses in plots beneath turbines. Bird and bat carcasses can fall outside of the search plot. Bird and bat carcasses from wind turbines often fall outside of the searched area. To compensate, area correction (AC) estimations are calculated to estimate the percentage of fatalities that fall within the searched area versus those that fall outside of it. This package provides two likelihood based methods and one physics based method (Hull and Muir (2010) <doi:10.1080/14486563.2010.9725253>, Huso and Dalthorp (2014) <doi:10.1002/jwmg.663>) to estimate the carcass fall distribution. There are also functions for calculating the proportion of area searched within one unit annuli, log logistic distribution functions, and truncated distribution functions.
Author: Jared Studyvin [aut, cre], Paul Rabie [aut], Daniel Riser-Espinoza [aut], Trent McDonald [ctb]
Maintainer: Jared Studyvin <jstudyvin@west-inc.com>

Diff between windAC versions 1.2.1 dated 2020-02-21 and 1.2.2 dated 2020-05-02

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New package tmuxr with initial version 0.2.2
Package: tmuxr
Title: "Manage 'tmux' Sessions, Windows, and Panes"
Version: 0.2.2
Authors@R: c( person("Jeroen", "Janssens", email = "jeroen@datascienceworkshops.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5878-8924")), person("Data Science Workshops", role = c("cph", "fnd")) )
Description: Create, control, and capture 'tmux' sessions, windows, and panes using a pipeable API.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://datascienceworkshops.github.io/tmuxr, https://github.com/datascienceworkshops/tmuxr
BugReports: https://github.com/datascienceworkshops/tmuxr/issues
SystemRequirements: tmux
OS_type: unix
Imports: processx
Collate: tmuxr-package.R server.R session.R pane.R window.R send.R select.R utils.R layout.R inspect.R
RoxygenNote: 7.1.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-05-02 06:47:27 UTC; jeroen
Author: Jeroen Janssens [aut, cre] (<https://orcid.org/0000-0002-5878-8924>), Data Science Workshops [cph, fnd]
Maintainer: Jeroen Janssens <jeroen@datascienceworkshops.com>
Repository: CRAN
Date/Publication: 2020-05-02 14:40:03 UTC

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Package tidyfst updated to version 0.9.6 with previous version 0.9.5 dated 2020-04-10

Title: Tidy Verbs for Fast Data Manipulation
Description: A toolkit of tidy data manipulation verbs with 'data.table' as the backend. Combining the merits of syntax elegance from 'dplyr' and computing performance from 'data.table', 'tidyfst' intends to provide users with state-of-the-art data manipulation tools with least pain. This package is an extension of 'data.table'. While enjoying a tidy syntax, it also wraps combinations of efficient functions to facilitate frequently-used data operations.
Author: Tian-Yuan Huang [aut, cre] (<https://orcid.org/0000-0002-3591-4203>)
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>

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Package ROCR updated to version 1.0-11 with previous version 1.0-7 dated 2015-03-26

Title: Visualizing the Performance of Scoring Classifiers
Description: ROC graphs, sensitivity/specificity curves, lift charts, and precision/recall plots are popular examples of trade-off visualizations for specific pairs of performance measures. ROCR is a flexible tool for creating cutoff-parameterized 2D performance curves by freely combining two from over 25 performance measures (new performance measures can be added using a standard interface). Curves from different cross-validation or bootstrapping runs can be averaged by different methods, and standard deviations, standard errors or box plots can be used to visualize the variability across the runs. The parameterization can be visualized by printing cutoff values at the corresponding curve positions, or by coloring the curve according to cutoff. All components of a performance plot can be quickly adjusted using a flexible parameter dispatching mechanism. Despite its flexibility, ROCR is easy to use, with only three commands and reasonable default values for all optional parameters.
Author: Tobias Sing [aut], Oliver Sander [aut], Niko Beerenwinkel [aut], Thomas Lengauer [aut], Thomas Unterthiner [ctb], Felix G.M. Ernst [cre] (<https://orcid.org/0000-0001-5064-0928>)
Maintainer: Felix G.M. Ernst <felix.gm.ernst@outlook.com>

Diff between ROCR versions 1.0-7 dated 2015-03-26 and 1.0-11 dated 2020-05-02

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Package purrrlyr updated to version 0.0.6 with previous version 0.0.5 dated 2019-03-15

Title: Tools at the Intersection of 'purrr' and 'dplyr'
Description: Some functions at the intersection of 'dplyr' and 'purrr' that formerly lived in 'purrr'.
Author: Lionel Henry [aut, cre], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between purrrlyr versions 0.0.5 dated 2019-03-15 and 0.0.6 dated 2020-05-02

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New package PQLseq with initial version 1.2
Package: PQLseq
Type: Package
Title: Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies
Version: 1.2
Date: 2020-05-02
Author: Shiquan Sun, Jiaqiang Zhu, Xiang Zhou
Maintainer: Jiaqiang Zhu <jiaqiang@umich.edu>
Description: An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and Bisulfite sequencing (BSseq) data in the presence of individual relatedness and population structure. 'PQLseq' first fits a Generalized Linear Mixed Model (GLMM) with adjusted covariates, predictor of interest and random effects to account for population structure and individual relatedness, and then performs Wald tests for each gene in RNAseq or site in BSseq.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.14),foreach,doParallel,parallel,Matrix,methods
LinkingTo: Rcpp,RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-05-02 14:39:05 UTC; jiaqiang
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2020-05-02 15:00:07 UTC

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Package nCal updated to version 2020.5-1 with previous version 2018.8-20 dated 2018-08-20

Title: Nonlinear Calibration
Description: Performs nonlinear calibration and curve fitting for data from Luminex, RT-PCR, ELISA, RPPA etc. Its precursor is Ruminex.
Author: Youyi Fong <youyifong@gmail.com>, Krisztian Sebestyen <ksebestyen@gmail.com>, Xuesong Yu <xyu@scharp.org>
Maintainer: Youyi Fong <youyifong@gmail.com>

Diff between nCal versions 2018.8-20 dated 2018-08-20 and 2020.5-1 dated 2020-05-02

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 build/vignette.rds         |binary
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 man/read.luminex.xls.Rd    |    2 --
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New package mapmisc with initial version 1.7.8
Package: mapmisc
Type: Package
Title: Utilities for Producing Maps
Version: 1.7.8
Date: 2020-05-01
Depends: sp, raster, R (>= 3.5.0)
Imports: methods, grDevices, stats, utils, graphics
Suggests: RColorBrewer, classInt, rgdal, rgeos, geosphere, knitr
Enhances: tools, geonames
Author: Patrick Brown <patrick.brown@utoronto.ca>
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>
Description: A minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections.
License: GPL
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-01 14:45:47 UTC; patrick
Repository: CRAN
Date/Publication: 2020-05-02 14:30:05 UTC

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Package explor updated to version 0.3.6 with previous version 0.3.5 dated 2019-04-17

Title: Interactive Interfaces for Results Exploration
Description: Shiny interfaces and graphical functions for multivariate analysis results exploration.
Author: Julien Barnier [aut, cre]
Maintainer: Julien Barnier <julien.barnier@cnrs.fr>

Diff between explor versions 0.3.5 dated 2019-04-17 and 0.3.6 dated 2020-05-02

 DESCRIPTION                                        |   20 ++--
 MD5                                                |  100 ++++++++++-----------
 NAMESPACE                                          |    2 
 NEWS.md                                            |   12 ++
 R/CA_plots.R                                       |   33 +++++-
 R/MCA_plots.R                                      |   43 ++++++---
 R/PCA_plots.R                                      |   24 +++--
 R/explor.R                                         |    1 
 R/explor_multi.R                                   |   60 ++++++++++--
 R/explor_multi_CA.R                                |   59 ++++++++++--
 R/explor_multi_MCA.R                               |   17 ++-
 R/explor_multi_PCA.R                               |   12 +-
 R/plots.R                                          |    2 
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 R/prepare_results_MASS_mca.R                       |    2 
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Package cnum updated to version 0.1.2 with previous version 0.1.1 dated 2020-04-13

Title: Chinese Numerals Processing
Description: Chinese numerals processing in R, such as conversion between Chinese numerals and Arabic numerals as well as detection and extraction of Chinese numerals in character objects and string. This package supports the casual scale naming system and the respective SI prefix systems used in mainland China and Taiwan: "China Statutory Measurement Units" State Administration for Market Regulation (2019) <http://gkml.samr.gov.cn/nsjg/jls/201902/t20190225_291134.html> "Names, Definitions and Symbols of the Legal Units of Measurement and the Decimal Multiples and Submultiples" Ministry of Economic Affairs (2019) <https://gazette.nat.gov.tw/egFront/detail.do?metaid=108965>.
Author: Elgar Teo [aut, cre]
Maintainer: Elgar Teo <elgarteo@connect.hku.hk>

Diff between cnum versions 0.1.1 dated 2020-04-13 and 0.1.2 dated 2020-05-02

 DESCRIPTION         |   12 ++--
 MD5                 |   37 +++++++------
 NAMESPACE           |    3 +
 NEWS.md             |   10 +++
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New package CensMFM with initial version 2.11
Package: CensMFM
Type: Package
Title: Finite Mixture of Multivariate Censored/Missing Data
Version: 2.11
Date: 2020-04-13
Authors@R: c( person("Francisco H. C.", "de Alencar", email = "hildemardealencar@gmail.com", role = c("aut", "cre")), person("Christian E.", "Galarza", email = "cgalarza88@gmail.com", role = "aut"), person("Larissa A.", "Matos", email = "larissa.amatos@gmail.com", role = "ctb"), person("Victor H.", "Lachos", email = "hlachos@gmail.com", role = "ctb"))
Imports: MomTrunc (>= 5.87), mvtnorm (>= 1.0.11), gridExtra, ggplot2, tlrmvnmvt (>= 1.1.0)
Suggests: mixsmsn
Description: It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-05-01 19:12:18 UTC; cgala
Author: Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb]
Maintainer: Francisco H. C. de Alencar <hildemardealencar@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-02 14:20:06 UTC

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Package bsts updated to version 0.9.5 with previous version 0.9.2 dated 2019-09-22

Title: Bayesian Structural Time Series
Description: Time series regression using dynamic linear models fit using MCMC. See Scott and Varian (2014) <DOI:10.1504/IJMMNO.2014.059942>, among many other sources.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between bsts versions 0.9.2 dated 2019-09-22 and 0.9.5 dated 2020-05-02

 DESCRIPTION                                   |   14 
 MD5                                           |   66 ++-
 R/add.dynamic.regression.R                    |    6 
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New package robustMVMR with initial version 0.1.0
Package: robustMVMR
Title: Perform the Robust Multivariable Mendelian Randomization Analysis
Version: 0.1.0
Date: 2020-04-28
Author: Zhao Yang
Maintainer: Zhao Yang <yangz98@connect.hku.hk>
Description: Perform the robust multivariable Mendelian randomization 'robustMVMR' analysis in the two-sample Mendelian randomization setting. The 'robustMVMR' package produces both the robust estimators and the robust standard errors via the MM-estimates, which has been demonstrated to protect against heteroskedasticity, autocorrelation, and the presence of outliers in Yohai (1987) <doi:10.1214/aos/1176350366> and Croux (2003) <https://EconPapers.repec.org/RePEc:ete:ceswps:ces0316>.
Depends: R (>= 3.5.0)
Imports: lmtest (>= 0.9-37), robustbase (>= 0.93-5), ggplot2 (>= 3.2.1), stats (>= 3.6.2)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-28 13:24:06 UTC; yangzhao
Repository: CRAN
Date/Publication: 2020-05-02 13:20:02 UTC

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New package PheCAP with initial version 1.1.0
Package: PheCAP
Type: Package
Title: High-Throughput Phenotyping with EHR using a Common Automated Pipeline
Version: 1.1.0
Authors@R: c( person("Yichi", "Zhang", role = "aut"), person("Chuan", "Hong", role = "aut"), person("Tianxi", "Cai", role = "aut"), person(family = "PARSE LTD", role = c("aut", "cre"), email = "software@parse-health.org") )
Description: Implement surrogate-assisted feature extraction (SAFE) and common machine learning approaches to train and validate phenotyping models. Background and details about the methods can be found at Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>, Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and Liao et al. (2015) <doi:10.1136/bmj.h1885>.
URL: https://celehs.github.io/PheCAP/, https://github.com/celehs/PheCAP
BugReports: https://github.com/celehs/PheCAP/issues
License: GPL-3
Encoding: UTF-8
ByteCompile: yes
Imports: graphics, methods, stats, utils, glmnet, RMySQL
Suggests: ggplot2, e1071, randomForestSRC, xgboost, knitr
VignetteBuilder: knitr
Depends: R (>= 3.3.0)
RoxygenNote: 6.1.1
LazyData: true
NeedsCompilation: no
Packaged: 2020-04-28 13:16:07 UTC; celehs
Author: Yichi Zhang [aut], Chuan Hong [aut], Tianxi Cai [aut], PARSE LTD [aut, cre]
Maintainer: PARSE LTD <software@parse-health.org>
Repository: CRAN
Date/Publication: 2020-05-02 13:10:06 UTC

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Package msd updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-14

Title: Method of Successive Dichotomizations
Description: Implements the method of successive dichotomizations by Bradley and Massof (2018) <doi:10.1371/journal.pone.0206106>, which estimates item measures, person measures and ordered rating category thresholds given ordinal rating scale data.
Author: Chris Bradley <cbradley05@gmail.com>
Maintainer: Chris Bradley <cbradley05@gmail.com>

Diff between msd versions 0.1.0 dated 2020-03-14 and 0.2.0 dated 2020-05-02

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 NAMESPACE      |    2 
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New package moreparty with initial version 0.1.0
Package: moreparty
Type: Package
Title: A Toolbox for Conditional Inference Random Forests
Version: 0.1.0
Date: 2020-04-28
Depends: R (>= 3.1.0), party
Imports: partykit, varImp, plyr, foreach, measures, methods, MASS, iml
Suggests: pdp, vip, doParallel
Author: Nicolas Robette
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>
Description: Additions to 'party' package : tools for the interpretation of forests (surrogate trees, prototypes, etc.), feature selection (see Gregorutti et al (2017) <arXiv:1310.5726>, Hapfelmeier and Ulm (2013) <doi:10.1016/j.csda.2012.09.020>, Altmann et al (2010) <doi:10.1093/bioinformatics/btq134>) and parallelized versions of conditional forest and variable importance functions.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-28 14:06:28 UTC; nrobette
Repository: CRAN
Date/Publication: 2020-05-02 13:50:02 UTC

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New package bitmexr with initial version 0.2.3
Type: Package
Package: bitmexr
Title: R Client for BitMEX
Version: 0.2.3
Authors@R: person(given = "Harry", family = "Fisher", role = c("cre", "aut", "cph"), email = "harryfisher21@gmail.com")
Description: Tools to obtain historic trade data from cryptocurrency exchange BitMEX <https://www.bitmex.com/>.
License: MIT + file LICENSE
URL: https://github.com/hfshr/bitmexr, https://hfshr.github.io/bitmexr
BugReports: https://github.com/hfshr/bitmexr/issues
Imports: attempt, curl, dplyr, httr, jsonlite, lubridate, magrittr, progress, purrr, rlang, utils
Suggests: covr, ggplot2, httptest, knitr, rmarkdown, testthat, tidyquant
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-28 16:30:13 UTC; Harry
Author: Harry Fisher [cre, aut, cph]
Maintainer: Harry Fisher <harryfisher21@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-02 13:50:05 UTC

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New package betafunctions with initial version 1.0.2
Package: betafunctions
Type: Package
Title: Functions for Working with the Beta Probability Density Distribution
Version: 1.0.2
Author: Haakon Haakstad
Maintainer: Haakon Haakstad <h.t.haakstad@cemo.uio.no>
Description: Package providing a number of functions for working with the Two- and Four- parameter Beta distribution, including alternative parameterizations and calculation of moments. Includes functions for estimating classification accuracy and diagnostic performance statistics using what's known as the Livingston and Lewis approach in the educational-measurement literature. Livingston and Lewis (1995) <doi:10.1111/j.1745-3984.1995.tb00462.x>. Hanson (1991) <https://files.eric.ed.gov/fulltext/ED344945.pdf>. Glas, Lijmer, Prins, Bonsel and Bossuyt (2003) <doi:10.1016/S0895-4356(03)00177-X>.
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-04-28 12:11:27 UTC; thorb
Repository: CRAN
Date/Publication: 2020-05-02 13:10:02 UTC

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New package pcalls with initial version 1.0
Package: pcalls
Type: Package
Title: Pricing of Different Types of Call
Version: 1.0
Date: 2020-04-22
Author: Elia Degiorgi, Federico Milan, Davide Zaramella, Valerija Stoeva
Maintainer: Elia Degiorgi <degioe@usi.ch>
Description: Compute the price of different types of call using different methods. The types available are Vanilla European Calls, Vanilla American Calls and American Digital Calls. Available methods are Montecarlo Simulation, Montecarlo Simulation with Antithetic Variates, Black-Scholes and the Binary Tree.
Depends: R (>= 3.5.0)
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2020-04-28 09:51:31 UTC; Elia
Repository: CRAN
Date/Publication: 2020-05-02 13:00:02 UTC

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Package sasLM updated to version 0.1.3 with previous version 0.1.2 dated 2020-04-22

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, and ANOVA. The well-known 'car' package provides type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between sasLM versions 0.1.2 dated 2020-04-22 and 0.1.3 dated 2020-05-02

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Package googleCloudRunner updated to version 0.2.0 with previous version 0.1.1 dated 2020-02-06

Title: R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler
Description: Tools to easily enable R scripts in the Google Cloud Platform. Utilise cloud services such as Cloud Run <https://cloud.run> for R over HTTP, Cloud Build <https://cloud.google.com/cloud-build/> for Continuous Delivery and Integration services and Cloud Scheduler <https://cloud.google.com/scheduler/> for scheduled scripts.
Author: Mark Edmondson [aut, cre] (<https://orcid.org/0000-0002-8434-3881>), Sunholo Ltd [cph]
Maintainer: Mark Edmondson <r@sunholo.com>

Diff between googleCloudRunner versions 0.1.1 dated 2020-02-06 and 0.2.0 dated 2020-05-02

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Package fxregime updated to version 1.0-4 with previous version 1.0-3 dated 2013-12-10

Title: Exchange Rate Regime Analysis
Description: Exchange rate regression and structural change tools for estimating, testing, dating, and monitoring (de facto) exchange rate regimes.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Ajay Shah [ctb], Ila Patnaik [ctb], Anmol Sethy [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package Pareto updated to version 2.0.0 with previous version 1.1.5 dated 2020-04-03

Title: The Pareto and the Piecewise Pareto Distribution
Description: Utilities for the Pareto and piecewise Pareto distribution that are useful for reinsurance pricing. In particular, the package provides a non-trivial algorithm that can be used to match the expected losses of a tower of reinsurance layers with a layer-independent collective risk model. The theoretical background of the matching algorithm and most other methods are described in Ulrich Riegel (2018) <doi:10.1007/s13385-018-0177-3>.
Author: Ulrich Riegel [aut, cre]
Maintainer: Ulrich Riegel <ulrich.riegel@gmx.de>

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Package bayesDem (with last version 2.5-1) was removed from CRAN

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

2016-11-22 2.5-1
2016-03-20 2.5-0
2014-04-29 2.4-1
2013-07-22 2.3-2
2013-05-24 2.3-0
2013-04-07 2.2-1
2012-12-20 2.1-1
2012-06-07 1.7-0
2012-05-05 1.6-0
2012-04-19 1.5-1
2011-10-20 1.3-2
2011-07-18 1.3-1
2011-05-08 1.3-0
2011-01-27 1.2-1
2011-01-20 1.2-0
2010-10-15 1.1-0
2010-10-07 1.0-0

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Package bayesPop (with last version 8.1-1) was removed from CRAN

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

2019-10-26 8.1-1
2018-10-12 7.0-0
2018-03-16 6.2-4
2017-10-23 6.2-3
2017-10-11 6.2-2
2017-09-30 6.2-1
2017-08-12 6.1-1
2017-02-10 6.0-4
2016-11-30 6.0-3
2016-11-22 6.0-2
2016-01-29 6.0-1
2016-01-16 6.0-0
2015-07-18 5.4-0
2015-04-10 5.3-4
2015-02-05 5.2-2
2014-11-20 5.2-1
2014-08-13 5.1-5
2014-04-28 5.0-0
2014-04-04 4.3-0
2013-12-03 4.2-2
2013-10-10 4.2-1
2013-07-22 4.1-1
2013-05-24 4.0-1
2013-04-11 3.2-3
2013-01-05 3.1-10
2012-12-17 3.1-8
2012-06-07 2.0-2
2012-04-19 0.2-2

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Package MortCast (with last version 2.2-0) was removed from CRAN

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

2020-05-02 2.2-0
2019-09-28 2.1-2
2019-06-11 2.1-1
2019-03-19 2.0-1
2018-09-22 1.2-1
2018-05-26 1.2-0
2017-12-18 1.1-1
2017-11-30 1.0-1

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Package es.dif updated to version 1.0.2 with previous version 1.0.1 dated 2019-06-07

Title: Compute Effect Sizes of the Difference
Description: Computes various effect sizes of the difference, their variance, and confidence interval. This package treats Cohen's d, Hedges' d, biased/unbiased c (an effect size between a mean and a constant) and e (an effect size between means without assuming the variance equality).
Author: Satoshi Aoki
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>

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Package BTM updated to version 0.3.1 with previous version 0.3 dated 2020-03-15

Title: Biterm Topic Models for Short Text
Description: Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) <https://github.com/xiaohuiyan/xiaohuiyan.github.io/blob/master/paper/BTM-WWW13.pdf>.
Author: Jan Wijffels [aut, cre, cph] (R wrapper), BNOSAC [cph] (R wrapper), Xiaohui Yan [ctb, cph] (BTM C++ library)
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between BTM versions 0.3 dated 2020-03-15 and 0.3.1 dated 2020-05-02

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Package TruncatedNormal updated to version 2.1.2 with previous version 2.1 dated 2019-08-31

Title: Truncated Multivariate Normal and Student Distributions
Description: A collection of functions to deal with the truncated univariate and multivariate normal and Student distributions, described in Botev (2017) <doi:10.1111/rssb.12162> and Botev and L'Ecuyer (2015) <doi:10.1109/WSC.2015.7408180>.
Author: Zdravko Botev [aut] (<https://orcid.org/0000-0001-9054-3452>), Leo Belzile [aut, cre] (<https://orcid.org/0000-0002-9135-014X>)
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package MortCast updated to version 2.2-0 with previous version 2.1-2 dated 2019-09-28

Title: Estimation and Projection of Age-Specific Mortality Rates
Description: Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
Author: Hana Sevcikova, Nan Li and Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>

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Package MMDai updated to version 2.0.0 with previous version 1.4.0 dated 2017-12-07

Title: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Categorical Data
Description: A method to impute the missingness in categorical data. Details see the paper <doi:10.4310/SII.2020.v13.n1.a2>.
Author: Chaojie Wang
Maintainer: Chaojie Wang <wang910930@163.com>

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Package climate (with last version 0.9.4) was removed from CRAN

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

2020-04-20 0.9.4
2020-03-30 0.9.3
2020-03-21 0.9.2
2020-01-30 0.9.1
2019-12-13 0.3.0

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Package Rsomoclu (with last version 1.7.5.3) was removed from CRAN

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2019-01-03 1.7.5.3
2018-11-29 1.7.5.2
2018-03-05 1.7.5.1
2018-03-03 1.7.5
2017-11-01 1.7.4.1
2017-06-06 1.7.4
2017-04-25 1.7.3
2016-11-24 1.7.2
2016-10-14 1.7.1
2016-09-19 1.6.2.1
2016-08-11 1.6.2
2016-04-04 1.6.1
2016-01-10 1.6
2015-12-01 1.5.0.1
2015-10-01 1.5
2014-09-07 1.4.1
2014-09-06 1.4
2014-04-10 1.3.1
2014-04-07 1.3

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Package fastrtext (with last version 0.3.4) was removed from CRAN

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2019-10-27 0.3.4

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