Tue, 07 Jan 2020

Package metaforest updated to version 0.1.3 with previous version 0.1.2 dated 2018-05-31

Title: Exploring Heterogeneity in Meta-Analysis using Random Forests
Description: Conduct random forests-based meta-analysis, obtain partial dependence plots for metaforest and classic meta-analyses, and cross-validate and tune metaforest- and classic meta-analyses in conjunction with the caret package. A requirement of classic meta-analysis is that the studies being aggregated are conceptually similar, and ideally, close replications. However, in many fields, there is substantial heterogeneity between studies on the same topic. Classic meta-analysis lacks the power to assess more than a handful of univariate moderators. MetaForest, by contrast, has substantial power to explore heterogeneity in meta-analysis. It can identify important moderators from a larger set of potential candidates, even with as little as 20 studies (Van Lissa, in preparation). This is an appealing quality, because many meta-analyses have small sample sizes. Moreover, MetaForest yields a measure of variable importance which can be used to identify important moderators, and offers partial prediction plots to explore the shape of the marginal relationship between moderators and effect size.
Author: Caspar J. van Lissa
Maintainer: Caspar J. van Lissa <c.j.vanlissa@gmail.com>

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Package locStra updated to version 1.2 with previous version 1.1 dated 2019-11-26

Title: Fast Implementation of (Local) Population Stratification Methods
Description: Fast and fully sparse 'cpp' implementations to compute the genetic covariance matrix, the genomic relationship matrix, the Jaccard matrix, and the s-matrix of an input matrix. Full support for sparse matrices from the R-package 'Matrix'. Additionally, a 'cpp' implementation of the power method (von Mises iteration) algorithm to compute the largest eigenvector of a matrix is included, and a function to compute sliding windows.
Author: Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Christoph Lange [ctb]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>

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Package gbfs updated to version 1.3.0 with previous version 1.2.0 dated 2019-09-10

Title: Interface with General Bikeshare Feed Specification Files
Description: Supplies a set of functions to interface with General Bikeshare Feed Specification .json feeds in R, allowing users to save and accumulate tidy .rds datasets for specified cities/bikeshare programs.
Author: Kaelyn Rosenberg [aut], Simon P. Couch [aut, cre], Mark Padgham [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

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Package dominanceanalysis updated to version 1.3.0 with previous version 1.2.0 dated 2019-09-22

Title: Dominance Analysis
Description: Dominance analysis is a method that allows to compare the relative importance of predictors in multiple regression models: ordinary least squares, generalized linear models, hierarchical linear models, beta regression and dynamic linear models. The main principles and methods of dominance analysis are described in Budescu, D. V. (1993) <doi:10.1037/0033-2909.114.3.542> and Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129> for ordinary least squares regression. Subsequently, the extensions for multivariate regression, logistic regression and hierarchical linear models were described in Azen, R., & Budescu, D. V. (2006) <doi:10.3102/10769986031002157>, Azen, R., & Traxel, N. (2009) <doi:10.3102/1076998609332754> and Luo, W., & Azen, R. (2013) <doi:10.3102/1076998612458319>, respectively.
Author: Claudio Bustos Navarrete [aut, cre] (<https://orcid.org/0000-0003-3478-9858>), Filipa Coutinho Soares [aut] (<https://orcid.org/0000-0002-7579-2538>)
Maintainer: Claudio Bustos Navarrete <clbustos@gmail.com>

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Package dbmss updated to version 2.7-1 with previous version 2.7-0 dated 2019-03-25

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>), Gabriel Lang [aut] (<https://orcid.org/0000-0002-4325-6044>), Stephane Traissac [aut], Florence Puech [aut] (<https://orcid.org/0000-0002-5279-6878>)
Maintainer: Eric Marcon <eric.marcon@ecofog.gf>

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Package calculus updated to version 0.2.0 with previous version 0.1.1 dated 2019-11-11

Title: High Dimensional Numerical and Symbolic Calculus
Description: Efficient C++ optimized functions for numerical and symbolic calculus. It includes basic symbolic arithmetic, tensor calculus, Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, accurate high-order derivatives, differential operators (Gradient, Jacobian, Hessian, Divergence, Curl, Laplacian) and numerical integration in arbitrary orthogonal coordinate systems: cartesian, polar, spherical, cylindrical, parabolic or user defined by custom scale factors.
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

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Package butcher updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-09

Title: Model Butcher
Description: Provides a set of five S3 generics to axe components of fitted model objects and help reduce the size of model objects saved to disk.
Author: Joyce Cahoon [aut, cre] (<https://orcid.org/0000-0001-7217-4702>), Davis Vaughan [aut], Max Kuhn [aut], Alex Hayes [aut]
Maintainer: Joyce Cahoon <joyceyu48@gmail.com>

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Package brunnermunzel updated to version 1.4.1 with previous version 1.3.5 dated 2019-05-30

Title: (Permuted) Brunner-Munzel Test
Description: Provides the functions for Brunner-Munzel test and permuted Brunner-Munzel test, which enable to use formula, matrix, and table as argument. These functions are based on Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U> and Neubert and Brunner (2007) <doi:10.1016/j.csda.2006.05.024>, and are written with FORTRAN.
Author: Toshiaki Ara [aut, cre]
Maintainer: Toshiaki Ara <toshiaki.ara@gmail.com>

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New package brinton with initial version 0.1.3
Package: brinton
Type: Package
Version: 0.1.3
Title: A Graphical EDA Tool
Description: An automated graphical exploratory data analysis (EDA) tool that introduces: a.) wideplot() graphics for exploring the structure of a dataset through a grid of variables and graphic types. b.) longplot() graphics, which present the entire catalog of available graphics for representing a particular variable using a grid of graphic types and variations on these types. c.) plotup() function, which presents a particular graphic for a specific variable of a dataset. The plotup() function also makes it possible to obtain the code used to generate the graphic, meaning that the user can adjust its properties as needed.
Authors@R: c(person(given = "Pere", family = "Millán-Martínez", email="info@sciencegraph.org", role = c("aut", "cre")), person(given = "Ramon", family = "Oller Piqué", email="ramon.oller@uvic.cat", role = "ctb"))
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: ggplot2, gridExtra, rmarkdown
Imports: grid, pander, lubridate, tibble, grDevices, sm, RColorBrewer, forcats, stats, qpdf
RoxygenNote: 7.0.2
Suggests: knitr
VignetteBuilder: knitr
SystemRequirements: Pandoc (>= 1.12.3), web browser
NeedsCompilation: no
Packaged: 2020-01-04 05:07:29 UTC; 34601
Author: Pere Millán-Martínez [aut, cre], Ramon Oller Piqué [ctb]
Maintainer: Pere Millán-Martínez <info@sciencegraph.org>
Repository: CRAN
Date/Publication: 2020-01-08 00:50:08 UTC

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Package bomrang updated to version 0.6.1 with previous version 0.6.0 dated 2019-07-04

Title: Australian Government Bureau of Meteorology ('BOM') Data Client
Description: Provides functions to interface with Australian Government Bureau of Meteorology ('BOM') data, fetching data and returning a tidy data frame of precis forecasts, historical and current weather data from stations, agriculture bulletin data, 'BOM' 0900 or 1500 weather bulletins and downloading and importing radar and satellite imagery files. Data (c) Australian Government Bureau of Meteorology Creative Commons (CC) Attribution 3.0 licence or Public Access Licence (PAL) as appropriate. See <http://www.bom.gov.au/other/copyright.shtml> for further details.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Jonathan Carroll [aut] (<https://orcid.org/0000-0002-1404-5264>), James Goldie [aut] (<https://orcid.org/0000-0002-5024-6207>), Dean Marchiori [aut], Paul Melloy [aut] (<https://orcid.org/0000-0003-4253-7167>), Mark Padgham [aut, rev] (<https://orcid.org/0000-0003-2172-5265>), Hugh Parsonage [aut] (<https://orcid.org/0000-0003-4055-0835>), Keith Pembleton [aut] (<https://orcid.org/0000-0002-1896-4516>), James Balamuta [ctb] (<https://orcid.org/0000-0003-2826-8458>), Brooke Anderson [rev] (<https://orcid.org/0000-0002-5012-9035>)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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Package Umpire updated to version 1.3.8 with previous version 1.3.7 dated 2019-05-06

Title: Simulating Realistic Gene Expression Data
Description: The Ultimate Microrray Prediction, Reality and Inference Engine (UMPIRE) is a package to facilitate the simulation of realistic microarray data sets with link to associate outcomes. See Zhang and Coombes (2012) <doi:10.1186/1471-2105-13-S13-S1>.
Author: Kevin R. Coombes, Jiexin Zhang
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package ThresholdROC updated to version 2.8 with previous version 2.7 dated 2019-02-26

Title: Optimum Threshold Estimation
Description: Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. The package also provides functions for sample size determination and estimation of diagnostic accuracy measures. It also includes graphical tools.
Author: Sara Perez-Jaume, Natalia Pallares, Konstantina Skaltsa
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

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Package ShiftShareSE updated to version 1.0.1 with previous version 1.0.0 dated 2019-08-24

Title: Inference in Regressions with Shift-Share Structure
Description: Provides confidence intervals in least-squares regressions when the variable of interest has a shift-share structure, and in instrumental variables regressions when the instrument has a shift-share structure. The confidence intervals implement the AKM and AKM0 methods developed in Adão, Kolesár, and Morales (2019) <doi:10.1093/qje/qjz025>.
Author: Michal Kolesár [aut, cre] (<https://orcid.org/0000-0002-2482-7796>), Eduardo Morales [ctb], Rodrigo Adão [ctb]
Maintainer: Michal Kolesár <kolesarmi@googlemail.com>

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Package RMixtComp updated to version 4.1.0 with previous version 4.0.2 dated 2019-09-16

Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes 8 models for real, categorical, counting, functional and ranking data.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Serge Iovleff [ctb]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

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Package RAthena updated to version 1.7.0 with previous version 1.6.0 dated 2019-12-19

Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this 'Python' 'Boto3' Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package parglm updated to version 0.1.4 with previous version 0.1.3 dated 2019-03-18

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [cre, aut], Anthony Williams [cph], Boost developers [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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New package PCRedux with initial version 1.0-4
Package: PCRedux
Type: Package
Title: Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit
Version: 1.0-4
Date: 2019-12-22
Authors@R: c(person("Stefan", "Roediger", email = "stefan.roediger@b-tu.de", comment = c(ORCID = "0000-0002-1441-6512"), role = c("cre", "aut")), person("Michal", "Burdukiewicz", email = "michalburdukiewicz@gmail.com", comment = c(ORCID = "0000-0001-8926-582X"), role = c("aut")), person("Andrej-Nikolai", "Spiess", email = "a.spiess@uke.de", role = c("aut")), person("Konstantin A.", "Blagodatskikh", email = "k.blag@yandex.ru", role = c("aut")), person("Dominik", "Rafacz", email = "dominikrafacz@gmail.com", role = c("ctb")))
Description: Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) <doi:10.1016/j.bdq.2014.08.002>) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) <doi:10.1016/j.bdq.2018.08.001>) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
License: MIT + file LICENSE
LazyLoad: yes
LazyData: yes
URL: https://CRAN.R-project.org/package=PCRedux
BugReports: https://github.com/PCRuniversum/PCRedux/issues
Depends: R (>= 3.5.0)
Imports: bcp, changepoint, chipPCR, ecp, fda.usc, MBmca, pbapply, pracma, qpcR, robustbase, shiny, stats, utils, zoo
Suggests: DT, FFTrees, knitr, RDML, randomForest, readxl, rmarkdown, spelling, testthat, xtable, future, listenv
NeedsCompilation: no
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.0.2
Packaged: 2020-01-07 10:51:15 UTC; tux
Author: Stefan Roediger [cre, aut] (<https://orcid.org/0000-0002-1441-6512>), Michal Burdukiewicz [aut] (<https://orcid.org/0000-0001-8926-582X>), Andrej-Nikolai Spiess [aut], Konstantin A. Blagodatskikh [aut], Dominik Rafacz [ctb]
Maintainer: Stefan Roediger <stefan.roediger@b-tu.de>
Repository: CRAN
Date/Publication: 2020-01-07 22:40:02 UTC

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New package LRQMM with initial version 1.2.0
Package: LRQMM
Type: Package
Title: Fitting Linear Quantile Regression Mixed Models
Version: 1.2.0
Author: Sayyed Reza Alavian[aut,cre] Majid Sarmad[ths] Mehdi Jabbari Nooghabi[ths] Hani Rezaee[ctb] Saeed Zerehdaran[ctb] Ferdowsi University Of Mashhad [cph]
Maintainer: Sayyed Reza Alavian <s.rezaalavian@mail.um.ac.ir>
Description: Fit a quantile regression mixed model using a sparse implementation of the Frisch-Newton interior-point algorithm as described in Portnoy and Koenker (1977, Statistical Science) <https://www.jstor.org/stable/2246217>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: GeneticsPed, SparseM, quantreg, Matrix, kinship2, MCMCglmm, sparsesvd, corpcor
Suggests: MASS
NeedsCompilation: no
Packaged: 2020-01-07 12:36:38 UTC; REZA
Repository: CRAN
Date/Publication: 2020-01-07 22:40:06 UTC

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Package semtree updated to version 0.9.14 with previous version 0.9.13 dated 2018-11-05

Title: Recursive Partitioning for Structural Equation Models
Description: SEM Trees and SEM Forests -- an extension of model-based decision trees and forests to Structural Equation Models (SEM). SEM trees hierarchically split empirical data into homogeneous groups sharing similar data patterns with respect to a SEM by recursively selecting optimal predictors of these differences. SEM forests are an extension of SEM trees. They are ensembles of SEM trees each built on a random sample of the original data. By aggregating over a forest, we obtain measures of variable importance that are more robust than measures from single trees.
Author: Andreas M. Brandmaier [aut, cre], John J. Prindle [aut], Manuel Arnold [aut]
Maintainer: Andreas M. Brandmaier <andy@brandmaier.de>

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Package HACSim updated to version 1.0.5 with previous version 1.0.4 dated 2019-09-14

Title: Iterative Extrapolation of Species' Haplotype Accumulation Curves for Genetic Diversity Assessment
Description: Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) optimization method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008>, Phillips et al. (2019) <doi:10.1002/ece3.4757> and Phillips et al. (2020) <doi: 10.7717/peerj-cs.243>. Any genomic marker can be targeted to assess likely required specimen sample sizes. The method is well-suited to assess sampling sufficiency for DNA barcoding initiatives.
Author: Jarrett D. Phillips [aut, cre], Steven H. French [ctb]
Maintainer: Jarrett D. Phillips <phillipsjarrett1@gmail.com>

Diff between HACSim versions 1.0.4 dated 2019-09-14 and 1.0.5 dated 2020-01-07

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New package GPB with initial version 1.2
Package: GPB
Version: 1.2
Date: 2020-01-01
Title: Generalized Poisson Binomial Distribution
Authors@R: c(person("Yili", "Hong", role = c("aut", "cre"),email = "yilihong@vt.edu"),person("Man", "Zhang", role = c("aut", "ctb")),person("", "R Core Team", role = c("aut", "cph")))
Author: Yili Hong [aut, cre], Man Zhang [aut, ctb], R Core Team [aut, cph]
Maintainer: Yili Hong <yilihong@vt.edu>
Description: Functions that compute the distribution functions for the Generalized Poisson Binomial distribution as described in Zhang et al. (2018)<doi: 10.1080/00949655.2018.1440294>, which provides the cdf, pmf, quantile function, and random number generation for the distribution. The C code for fast Fourier transformation (FFT) is written by R Core Team (2019)<https://www.R-project.org/>, which implements the FFT algorithm in Singleton (1969) <doi: 10.1109/TAU.1969.1162042>.
License: GPL-2
Depends: stats
NeedsCompilation: yes
Packaged: 2020-01-01 22:04:01 UTC; yilih
Repository: CRAN
Date/Publication: 2020-01-07 21:50:08 UTC

More information about GPB at CRAN
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Package future.apply updated to version 1.4.0 with previous version 1.3.0 dated 2019-06-18

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), by(), eapply(), lapply(), Map(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Author: Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package fingertipsR updated to version 1.0.0 with previous version 0.2.9 dated 2019-09-25

Title: Fingertips Data for Public Health
Description: Fingertips (<http://fingertips.phe.org.uk/>) contains data for many indicators of public health in England. The underlying data is now more easily accessible by making use of the API.
Author: Sebastian Fox [aut, cre], Julian Flowers [aut, ctb], Simon Thelwall [ctb] (<https://orcid.org/0000-0002-0434-2724>), Duncan Gormansway [ctb], Carl Ganz [ctb], David Whiting [ctb], Crown Copyright 2018 [cph]
Maintainer: Sebastian Fox <sebastian.fox@phe.gov.uk>

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Package EpiModel updated to version 1.7.5 with previous version 1.7.3 dated 2019-08-29

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims.
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Emily Beylerian [ctb], Skye Bender-deMoll [ctb], Kevin Weiss [ctb], Shawnee Anderson [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

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Package DJL updated to version 3.2 with previous version 3.1 dated 2019-11-16

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

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Package DataExplorer updated to version 0.8.1 with previous version 0.8.0 dated 2019-03-17

Title: Automate Data Exploration and Treatment
Description: Automated data exploration process for analytic tasks and predictive modeling, so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data.
Author: Boxuan Cui [aut, cre]
Maintainer: Boxuan Cui <boxuancui@gmail.com>

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Package rda (with last version 1.0.2-2.1) was removed from CRAN

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

2018-07-21 1.0.2-2.1

Permanent link
Package textutils updated to version 0.2-0 with previous version 0.1-11 dated 2019-05-01

Title: Utilities for Handling Strings and Text
Description: Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports, e.g. for expanding and aligning strings that form the lines of such reports. The package also provides generic functions for transforming R objects to HTML and to plain text.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package salso updated to version 0.1.11 with previous version 0.1.9 dated 2019-11-29

Title: Sequentially-Allocated Latent Structure Optimization
Description: Point estimation for partition distributions using the sequentially-allocated latent structure optimization (SALSO) method to minimize the expectation of the Binder loss or the lower bound of the expectation of the variation of information loss. The SALSO method was presented at the workshop "Bayesian Nonparametric Inference: Dependence Structures and their Applications" in Oaxaca, Mexico on December 6, 2017. See <https://www.birs.ca/events/2017/5-day-workshops/17w5060/schedule>.
Author: David B. Dahl
Maintainer: David B. Dahl <dahl@stat.byu.edu>

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Package RVAideMemoire updated to version 0.9-74 with previous version 0.9-73 dated 2019-03-26

Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.
Author: Maxime Herv<e9>
Maintainer: Maxime Herv<e9> <maxime.herve@univ-rennes1.fr>

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Package recipes updated to version 0.1.9 with previous version 0.1.8 dated 2019-12-18

Title: Preprocessing Tools to Create Design Matrices
Description: An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package parsnip updated to version 0.0.5 with previous version 0.0.4 dated 2019-11-02

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package dint updated to version 2.1.2 with previous version 2.1.1 dated 2019-12-02

Title: A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates
Description: S3 classes and methods to create and work with year-quarter, year-month and year-isoweek vectors. Basic arithmetic operations (such as adding and subtracting) are supported, as well as formatting and converting to and from standard R date types.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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Package caret updated to version 6.0-85 with previous version 6.0-84 dated 2019-04-27

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn [aut, cre], Jed Wing [ctb], Steve Weston [ctb], Andre Williams [ctb], Chris Keefer [ctb], Allan Engelhardt [ctb], Tony Cooper [ctb], Zachary Mayer [ctb], Brenton Kenkel [ctb], R Core Team [ctb], Michael Benesty [ctb], Reynald Lescarbeau [ctb], Andrew Ziem [ctb], Luca Scrucca [ctb], Yuan Tang [ctb], Can Candan [ctb], Tyler Hunt [ctb]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package BLR updated to version 1.6 with previous version 1.5 dated 2018-08-23

Title: Bayesian Linear Regression
Description: Bayesian Linear Regression.
Author: Gustavo de los Campos, Paulino Perez Rodriguez,
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

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Package sgof updated to version 2.3.1 with previous version 2.3 dated 2016-04-18

Title: Multiple Hypothesis Testing
Description: Seven different methods for multiple testing problems. The SGoF-type methods and the BH and BY false discovery rate controlling procedures.
Author: Irene Castro Conde and Jacobo de Una Alvarez
Maintainer: Irene Castro Conde <irene.castro@uvigo.es>

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Package sars updated to version 1.2.1 with previous version 1.2.0 dated 2019-07-25

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] (<https://orcid.org/0000-0002-7624-244X>), Francois Guilhaumon [aut] (<https://orcid.org/0000-0003-4707-8932>), Kevin Cazelles [rev] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Thomas J. Matthews <txm676@gmail.com>

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Package rotor updated to version 0.2.4 with previous version 0.2.3 dated 2019-06-17

Title: Log Rotation and Conditional Backups
Description: Conditionally rotate or back-up files based on their size or the date of the last backup; inspired by the 'Linux' utility 'logrotate'.
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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New package conjurer with initial version 1.0.0
Package: conjurer
Type: Package
Title: A Parametric Method for Generating Synthetic Data
Version: 1.0.0
Date: 2020-01-07
Authors@R: person("Sidharth", "Macherla", email = "msidharthrasik@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4825-2026"))
Description: Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples.
License: MIT + file LICENSE
URL: https://github.com/SidharthMacherla/conjurer
BugReports: https://github.com/SidharthMacherla/conjurer/issues
Encoding: UTF-8
LazyData: FALSE
RoxygenNote: 7.0.2.9000
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-07 04:50:49 UTC; sidharth.macherla
Author: Sidharth Macherla [aut, cre] (<https://orcid.org/0000-0002-4825-2026>)
Maintainer: Sidharth Macherla <msidharthrasik@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-07 19:50:02 UTC

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Package rdbnomics updated to version 0.5.1 with previous version 0.5.0 dated 2019-09-23

Title: Download DBnomics Data
Description: R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).
Author: Sebastien Galais [cre, ctb], Thomas Brand [aut]
Maintainer: Sebastien Galais <s915.stem@gmail.com>

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Package pm4py updated to version 1.2.7 with previous version 1.0.1 dated 2019-03-10

Title: Interface to the 'PM4py' Process Mining Library
Description: Interface to 'PM4py' <http://pm4py.org>, a process mining library in 'Python'. This package uses the 'reticulate' package to act as a bridge between 'PM4Py' and the 'R' package 'bupaR'. It provides several process discovery algorithms, evaluation measures, and alignments.
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>

Diff between pm4py versions 1.0.1 dated 2019-03-10 and 1.2.7 dated 2020-01-07

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Package iq updated to version 1.3 with previous version 1.0 dated 2019-11-15

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the maximal peptide ratio extraction module of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a complete pipeline for processing proteomics data in data-independent acquisition mode. It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, and a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160).
Author: Thang Pham [aut, cre, cph, ctb] (<https://orcid.org/0000-0003-0333-2492>), Alex Henneman [ctb] (<https://orcid.org/0000-0002-3746-4410>)
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

Diff between iq versions 1.0 dated 2019-11-15 and 1.3 dated 2020-01-07

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Package icesTAF updated to version 3.3-2 with previous version 3.3-1 dated 2019-12-11

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb], Ibrahim Umar [ctb]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

Diff between icesTAF versions 3.3-1 dated 2019-12-11 and 3.3-2 dated 2020-01-07

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New package transplantr with initial version 0.1.0
Package: transplantr
Type: Package
Title: Audit and Research Functions for Transplantation
Version: 0.1.0
Authors@R: person("John", "Asher", email = "john.asher@outlook.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8735-6453"))
Description: A set of vectorised functions to calculate medical equations used in transplantation, focused mainly on transplantation of abdominal organs. These functions include donor and recipient risk indices as used by NHS Blood & Transplant, OPTN/UNOS and Eurotransplant, tools for quantifying HLA mismatches, functions for calculating estimated glomerular filtration rate (eGFR), a function to calculate the APRI score used in initial screening of suitability to receive a transplant from a hepatitis C seropositive donor and some biochemical unit converter functions. All functions are designed to work with either US or international units. References for the equations are provided in the vignettes and function documentation.
URL: https://transplantr.txtools.net, https://github.com/johnasher/transplantr
BugReports: https://github.com/johnasher/transplantr/issues
Depends: R (>= 3.1.0)
Suggests: dplyr, stringr, knitr, rmarkdown, testthat, spelling
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2020-01-07 07:35:53 UTC; john
Author: John Asher [aut, cre] (<https://orcid.org/0000-0001-8735-6453>)
Maintainer: John Asher <john.asher@outlook.com>
Repository: CRAN
Date/Publication: 2020-01-07 17:30:02 UTC

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New package ppmHR with initial version 1.0
Package: ppmHR
Type: Package
Title: Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks
Version: 1.0
Date: 2020-01-06
Author: Di Shu <shudi1991@gmail.com>, Sengwee Toh <darren_toh@harvardpilgrim.org>
Maintainer: Di Shu <shudi1991@gmail.com>
Description: An implementation of the one-step privacy-protecting method for estimating the overall and site-specific hazard ratios using inverse probability weighted Cox models in distributed data network studies, as proposed by Shu, Yoshida, Fireman, and Toh (2019) <doi: 10.1177/0962280219869742>. This method only requires sharing of summary-level riskset tables instead of individual-level data. Both the conventional inverse probability weights and the stabilized weights are implemented.
License: GPL (>= 2)
Imports: nleqslv, stats
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-01-06 19:09:32 UTC; dishu
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-01-07 17:20:02 UTC

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Package embed updated to version 0.0.5 with previous version 0.0.4 dated 2019-09-15

Title: Extra Recipes for Encoding Categorical Predictors
Description: Predictors can be converted to one or more numeric representations using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737>. All encoding methods are supervised.
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

Diff between embed versions 0.0.4 dated 2019-09-15 and 0.0.5 dated 2020-01-07

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Package QGglmm updated to version 0.7.4 with previous version 0.7.3 dated 2019-12-06

Title: Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
Description: Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.
Author: Pierre de Villemereuil <bonamy@horus.ens.fr>
Maintainer: Pierre de Villemereuil <bonamy@horus.ens.fr>

Diff between QGglmm versions 0.7.3 dated 2019-12-06 and 0.7.4 dated 2020-01-07

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New package PROJ with initial version 0.1.0
Package: PROJ
Title: Generic Coordinate System Transformations Using 'PROJ'
Version: 0.1.0
Authors@R: c(person(given = "Michael D.", family = "Sumner", role = c("aut", "cre"), email = "mdsumner@gmail.com", comment = c(ORCID = "0000-0002-2471-7511")), person("Jeroen", "Ooms", role = c("ctb"), comment = "provided PROJ library support on Windows, and assistance with Windows configuration"), person("Simon", "Urbanek", role = c("cph", "ctb"), comment = "wrote original code versions for PROJ version 6"))
Description: A wrapper around the generic coordinate transformation software 'PROJ' that transforms geospatial coordinates from one coordinate reference system ('CRS') to another. This includes cartographic projections as well as geodetic transformations. Version 6.0.0 or higher is required. The intention is for this package to be used by user-packages such as 'reproj', and that the older 'PROJ.4' and version 5 pathways be provided by the legacy package. The 'PROJ' library is available from <https://proj.org/>.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
SystemRequirements: PROJ (>= 6.0.0)
Suggests: testthat (>= 2.1.0), covr, spelling, knitr, rmarkdown
URL: https://github.com/hypertidy/PROJ
BugReports: https://github.com/hypertidy/PROJ/issues
RoxygenNote: 7.0.2
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-01-07 06:56:06 UTC; mdsumner
Author: Michael D. Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>), Jeroen Ooms [ctb] (provided PROJ library support on Windows, and assistance with Windows configuration), Simon Urbanek [cph, ctb] (wrote original code versions for PROJ version 6)
Maintainer: Michael D. Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-07 17:00:13 UTC

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Package datarobot updated to version 2.16.0 with previous version 2.15.0 dated 2019-11-18

Title: 'DataRobot' Predictive Modeling API
Description: For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.
Author: Ron Pearson [aut], Zachary Deane-Mayer [aut], David Chudzicki [aut], Dallin Akagi [aut], Sergey Yurgenson [aut], Thakur Raj Anand [aut], Peter Hurford [aut]
Maintainer: Peter Hurford <api-maintainer@datarobot.com>

Diff between datarobot versions 2.15.0 dated 2019-11-18 and 2.16.0 dated 2020-01-07

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Package cppRouting updated to version 2.0 with previous version 1.2 dated 2019-09-30

Title: Fast Implementation of Dijkstra Algorithm
Description: Calculation of distances, shortest paths and isochrones on weighted graphs using several variants of Dijkstra algorithm. Proposed algorithms are unidirectional Dijkstra (Dijkstra, E. W. (1959) <doi:10.1007/BF01386390>), bidirectional Dijkstra (Goldberg, Andrew & Fonseca F. Werneck, Renato (2005) <https://pdfs.semanticscholar.org/0761/18dfbe1d5a220f6ac59b4de4ad07b50283ac.pdf>), A* search (P. E. Hart, N. J. Nilsson et B. Raphael (1968) <doi:10.1109/TSSC.1968.300136>), new bidirectional A* (Pijls & Post (2009) <http://repub.eur.nl/pub/16100/ei2009-10.pdf>), Contraction hierarchies (R. Geisberger, P. Sanders, D. Schultes and D. Delling (2008) <doi:10.1007/978-3-540-68552-4_24>), PHAST (D. Delling, A.Goldberg, A. Nowatzyk, R. Werneck (2011) <doi:10.1016/j.jpdc.2012.02.007>).
Author: Vincent Larmet
Maintainer: Vincent Larmet <larmet.vincent@gmail.com>

Diff between cppRouting versions 1.2 dated 2019-09-30 and 2.0 dated 2020-01-07

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Package coxrt updated to version 1.0.3 with previous version 1.0.2 dated 2019-07-31

Title: Cox Proportional Hazards Regression for Right-Truncated Data
Description: Fits Cox regression based on retrospectively ascertained times-to-event. The method uses Inverse-Probability-Weighting estimating equations.
Author: Bella Vakulenko-Lagun, Micha Mandel, Rebecca A. Betensky
Maintainer: Bella Vakulenko-Lagun <bella.vakulenko-lagun@mail.huji.ac.il>

Diff between coxrt versions 1.0.2 dated 2019-07-31 and 1.0.3 dated 2020-01-07

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Package tidylog updated to version 1.0.0 with previous version 0.2.0 dated 2019-09-02

Title: Logging for 'dplyr' and 'tidyr' Functions
Description: Provides feedback about 'dplyr' and 'tidyr' operations.
Author: Benjamin Elbers [aut, cre] (<https://orcid.org/0000-0001-5392-3448>), Damiano Oldoni [ctb] (<https://orcid.org/0000-0003-3445-7562>)
Maintainer: Benjamin Elbers <elbersb@gmail.com>

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Package RSQLite updated to version 2.2.0 with previous version 2.1.5 dated 2019-12-18

Title: 'SQLite' Interface for R
Description: Embeds the 'SQLite' database engine in R and provides an interface compliant with the 'DBI' package. The source for the 'SQLite' engine is included.
Author: Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], SQLite Authors [ctb] (for the included SQLite sources), Liam Healy [ctb] (for the included SQLite sources), R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package Haplin updated to version 7.2.2 with previous version 7.1.0 dated 2019-04-17

Title: Analyzing Case-Parent Triad and/or Case-Control Data with SNP Haplotypes
Description: Performs genetic association analyses of case-parent triad (trio) data with multiple markers. It can also incorporate complete or incomplete control triads, for instance independent control children. Estimation is based on haplotypes, for instance SNP haplotypes, even though phase is not known from the genetic data. 'Haplin' estimates relative risk (RR + conf.int.) and p-value associated with each haplotype. It uses maximum likelihood estimation to make optimal use of data from triads with missing genotypic data, for instance if some SNPs has not been typed for some individuals. 'Haplin' also allows estimation of effects of maternal haplotypes and parent-of-origin effects, particularly appropriate in perinatal epidemiology. 'Haplin' allows special models, like X-inactivation, to be fitted on the X-chromosome. A GxE analysis allows testing interactions between environment and all estimated genetic effects. The models were originally described in Gjessing, HK and Lie, RT (2006) <doi:10.1111/j.1529-8817.2005.00218.x>.
Author: Hakon K. Gjessing [aut, cre], Miriam Gjerdevik [ctb] (functions 'lineByLine' and 'convertPed'), Julia Romanowska [ctb] (<https://orcid.org/0000-0001-6733-1953>, new data format, parallelisation, new documentation), Oivind Skare [ctb] (TDT tests)
Maintainer: Hakon K. Gjessing <hakon.gjessing@uib.no>

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Package freesurferformats updated to version 0.1.7 with previous version 0.1.6 dated 2019-11-27

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write data from neuroimaging files in 'FreeSurfer' <http://freesurfer.net/> binary formats. This includes the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surface mesh, given by a list of vertices and a list of faces.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

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Package CongreveLamsdell2016 updated to version 1.0.2 with previous version 1.0.1 dated 2019-02-07

Title: Distance Metrics for Trees Generated by Congreve and Lamsdell
Description: Includes the 100 datasets simulated by Congreve and Lamsdell (2016) <doi:10.1111/pala.12236>, and analyses of the partition and quartet distance of reconstructed trees from the generative tree, as analysed by Smith (2019) <doi:10.1098/rsbl.2018.0632>.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Curtis R. Congreve [cph, dtc], James C. Lamsdell [cph, dtc]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package CCAMLRGIS updated to version 3.0.1 with previous version 3.0.0 dated 2019-12-18

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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Package metaboGSE updated to version 1.2.3 with previous version 1.2.2 dated 2019-12-12

Title: Gene Set Enrichment Analysis via Integration of Metabolic Networks and RNA-Seq Data
Description: Integrates metabolic networks and RNA-seq data to construct condition-specific series of metabolic sub-networks and applies to gene set enrichment analysis (Tran et al. (2018) <doi:10.1093/bioinformatics/bty929>).
Author: Van Du T. Tran [aut, cre], Marco Pagni [aut]
Maintainer: Van Du T. Tran <thuong.tran@sib.swiss>

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Package datasets.load updated to version 1.2.0 with previous version 1.0.0 dated 2019-12-12

Title: Interfaces for Loading Datasets
Description: Visual interface for loading datasets in RStudio from all installed (unloaded) packages, also includes command line interfaces.
Author: Bastiaan quast [aut, cre]
Maintainer: Bastiaan quast <bquast@gmail.com>

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Package phonfieldwork updated to version 0.0.3 with previous version 0.0.2 dated 2019-09-23

Title: Linguistic Phonetic Fieldwork Tools
Description: There are a lot of different typical tasks that have to be solved during phonetic research and experiments. This includes creating a presentation that will contain all stimuli, renaming and concatenating multiple sound files recorded during a session, automatic annotation in 'Praat' TextGrids (this is one of the sound annotation standards provided by 'Praat' software, see Boersma & Weenink 2018 <http://www.fon.hum.uva.nl/praat/>), creating an html table with annotations and spectrograms, and converting multiple formats ('Praat' TextGrid, 'EXMARaLDA' and 'ELAN'). All of these tasks can be solved by a mixture of different tools (any programming language has programs for automatic renaming, and Praat contains scripts for concatenating and renaming files, etc.). `phonfieldwork` provides a functionality that will make it easier to solve those tasks independently of any additional tools. You can also compare the functionality with other packages: 'rPraat' <https://CRAN.R-project.org/package=rPraat>, 'textgRid' <https://CRAN.R-project.org/package=textgRid>.
Author: George Moroz
Maintainer: George Moroz <agricolamz@gmail.com>

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Package MAINT.Data updated to version 2.3.1 with previous version 2.3.0 dated 2019-08-19

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

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Package adiv updated to version 1.4 with previous version 1.3 dated 2019-10-18

Title: Analysis of Diversity
Description: Functions, data sets and examples for the calculation of various indices of biodiversity including species, functional and phylogenetic diversity. Part of the indices are expressed in terms of equivalent numbers of species. The package also provides ways to partition biodiversity across spatial or temporal scales (alpha, beta, gamma diversities). In addition to the quantification of biodiversity, ordination approaches are available which rely on diversity indices and allow the detailed identification of species, functional or phylogenetic differences between communities.
Author: Sandrine Pavoine
Maintainer: Sandrine Pavoine <sandrine.pavoine@mnhn.fr>

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Package spate updated to version 1.7 with previous version 1.6 dated 2019-09-24

Title: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach
Description: Functionality for spatio-temporal modeling of large data sets is provided. A Gaussian process in space and time is defined through a stochastic partial differential equation (SPDE). The SPDE is solved in the spectral space, and after discretizing in time and space, a linear Gaussian state space model is obtained. When doing inference, the main computational difficulty consists in evaluating the likelihood and in sampling from the full conditional of the spectral coefficients, or equivalently, the latent space-time process. In comparison to the traditional approach of using a spatio-temporal covariance function, the spectral SPDE approach is computationally advantageous. See Sigrist, Kuensch, and Stahel (2015) <doi:10.1111/rssb.12061> for more information on the methodology. This package aims at providing tools for two different modeling approaches. First, the SPDE based spatio-temporal model can be used as a component in a customized hierarchical Bayesian model (HBM). The functions of the package then provide parameterizations of the process part of the model as well as computationally efficient algorithms needed for doing inference with the HBM. Alternatively, the adaptive MCMC algorithm implemented in the package can be used as an algorithm for doing inference without any additional modeling. The MCMC algorithm supports data that follow a Gaussian or a censored distribution with point mass at zero. Covariates can be included in the model through a regression term.
Author: Fabio Sigrist, Hans R. Kuensch, Werner A. Stahel
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package GeoTcgaData updated to version 0.2.2 with previous version 0.2.0 dated 2019-09-23

Title: Processing various types of data on GEO and TCGA
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, and Copy number variation data. It's easy to download data from TCGA using the gdc tool, but processing these data into a format suitable for bioinformatics analysis requires more work. This R package was developed to handle these data.
Author: Erqiang Hu [aut, cre]
Maintainer: Erqiang Hu <13766876214@163.com>

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Package forecastML updated to version 0.7.0 with previous version 0.6.0 dated 2019-11-23

Title: Time Series Forecasting with Machine Learning Methods
Description: The purpose of 'forecastML' is to simplify the process of multi-step-ahead direct forecasting with standard machine learning algorithms. 'forecastML' supports lagged, dynamic, static, and grouping features for modeling single and grouped numeric or factor/sequence time series. In addition, simple wrapper functions are used to support model-building with most R packages. This approach to forecasting is inspired by Bergmeir, Hyndman, and Koo's (2018) paper "A note on the validity of cross-validation for evaluating autoregressive time series prediction" <doi:10.1016/j.csda.2017.11.003>.
Author: Nickalus Redell
Maintainer: Nickalus Redell <nickalusredell@gmail.com>

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Package fitHeavyTail updated to version 0.1.2 with previous version 0.1.1 dated 2019-11-22

Title: Mean and Covariance Matrix Estimation under Heavy Tails
Description: Robust estimation methods for the mean vector and covariance matrix from data (possibly containing NAs) under multivariate heavy-tailed distributions such as angular Gaussian (via Tyler's method), Cauchy, and Student's t. Additionally, a factor model structure can be specified for the covariance matrix. The package is based on the papers: Sun, Babu, and Palomar (2014), Sun, Babu, and Palomar (2015), Liu and Rubin (1995), and Zhou, Liu, Kumar, and Palomar (2019).
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut]
Maintainer: Daniel P. Palomar <daniel.p.palomar@gmail.com>

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Package broomExtra updated to version 1.0.1 with previous version 1.0.0 dated 2019-12-17

Title: Enhancements for 'broom' Package Family
Description: Collection of functions to assist 'broom' and 'broom.mixed' package-related data analysis workflows. In particular, the generic functions tidy(), glance(), and augment() choose appropriate S3 methods from these two packages depending on which package exports the needed method. Additionally, 'grouped_' variants of the generics provides a convenient way to execute functions across a combination of grouping variable(s) in a dataframe.
Author: Indrajeet Patil [aut, cre, ctb] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package sport updated to version 0.2.0 with previous version 0.1.2 dated 2019-01-07

Title: Sequential Pairwise Online Rating Techniques
Description: Calculates ratings for two-player or multi-player challenges. Methods included in package such as are able to estimate ratings (players strengths) and their evolution in time, also able to predict output of challenge. Algorithms are based on Bayesian Approximation Method, and they don't involve any matrix inversions nor likelihood estimation. Parameters are updated sequentially, and computation doesn't require any additional RAM to make estimation feasible. Additionally, base of the package is written in C++ what makes sport computation even faster. Methods used in the package refers to Mark E. Glickman (1999) <http://www.glicko.net/research/glicko.pdf>; Mark E. Glickman (2001) <doi:10.1080/02664760120059219>; Ruby C. Weng, Chih-Jen Lin (2011) <http://jmlr.csail.mit.edu/papers/volume12/weng11a/weng11a.pdf>; W. Penny, Stephen J. Roberts (1999) <doi:10.1109/IJCNN.1999.832603>.
Author: Dawid Kałędkowski [aut, cre] (<https://orcid.org/0000-0001-9533-457X>)
Maintainer: Dawid Kałędkowski <dawid.kaledkowski@gmail.com>

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Package Ryacas updated to version 1.1.2 with previous version 1.1.1 dated 2019-10-31

Title: R Interface to the 'Yacas' Computer Algebra System
Description: Interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).
Author: Mikkel Meyer Andersen [aut, cre, cph], Rob Goedman [aut, cph], Gabor Grothendieck [aut, cph], Søren Højsgaard [aut, cph], Grzegorz Mazur [aut, cph], Ayal Pinkus [aut, cph], Nemanja Trifunovic [cph] (UTF-8 part of yacas (src/yacas/include/yacas/utf8*))
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

Diff between Ryacas versions 1.1.1 dated 2019-10-31 and 1.1.2 dated 2020-01-07

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Package PowerfulMaxEigenpair updated to version 0.1.1 with previous version 0.1.0 dated 2019-06-03

Title: Powerful Algorithm for Maximal Eigenpair
Description: An implementation for using powerful algorithm to compute the maximal eigenpair of Hermitizable tridiagonal matrices in R. It provides two algorithms to find the maximal and the next to maximal eigenpairs under the tridiagonal matrix. Besides, it also provides two auxiliary algorithms to generate tridiagonal matrix and solve the linear equation by Thomas algorithm. Several examples are included in the vignettes to illustrate the usage of the functions.
Author: Yueshuang Li <liyueshuang@mail.bnu.edu.cn> and Xiaojun Mao <maoxj@fudan.edu.cn>
Maintainer: Xiaojun Mao <maoxj@fudan.edu.cn>

Diff between PowerfulMaxEigenpair versions 0.1.0 dated 2019-06-03 and 0.1.1 dated 2020-01-07

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Package WorldFlora updated to version 1.2 with previous version 1.1 dated 2019-12-17

Title: Standardize Plant Names According to World Flora Online Taxonomic Backbone
Description: World Flora Online is an online flora of all known plants, available from <http://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.
Author: Roeland Kindt
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

Diff between WorldFlora versions 1.1 dated 2019-12-17 and 1.2 dated 2020-01-07

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Package TSEtools updated to version 0.1.4 with previous version 0.1.3 dated 2019-04-04

Title: Download and Manage Data from Tehran Stock Exchange
Description: Tools for downloading and organizing data from Tehran Stock Exchange (TSE) <http://new.tse.ir/en/>. It also performs some descriptive data analysis for assets.
Author: Ali Saeb
Maintainer: Ali Saeb <ali.saeb@gmail.com>

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Package FOCI updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-17

Title: Feature Ordering by Conditional Independence
Description: Feature Ordering by Conditional Independence (FOCI) is a variable selection algorithm based on the measure of conditional dependence. For more information, see the paper: Azadkia and Chatterjee (2019),"A simple measure of conditional dependence" <arXiv:1910.12327>.
Author: Mona Azadkia [aut, cre], Sourav Chatterjee [aut, ctb]
Maintainer: Mona Azadkia <monaazadkia@gmail.com>

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Package FKSUM updated to version 0.1.3 with previous version 0.1.2 dated 2019-12-08

Title: Fast Kernel Sums
Description: Implements the method of Hofmeyr, D.P. (2019) <DOI:10.1109/TPAMI.2019.2930501> for fast evaluation of univariate kernel smoothers based on recursive computations. Applications to the basic problems of density and regression function estimation are provided, as well as some projection pursuit methods for which the objective is based on non-parametric functionals of the projected density, or conditional density of a response given projected covariates.
Author: David P. Hofmeyr
Maintainer: David P. Hofmeyr <dhofmeyr@sun.ac.za>

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Package Directional updated to version 4.1 with previous version 4.0 dated 2019-09-14

Title: Directional Statistics
Description: A collection of functions for directional data (including massive, with millions of observations, data) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2019). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing (to appear). <doi:10.1007/s11222-019-09872-2>.
Author: Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package dendroTools updated to version 1.0.7 with previous version 1.0.6 dated 2019-07-20

Title: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data
Description: Provides novel dendroclimatological methods, primarily used by the Tree-ring research community. There are four core functions. The first one is daily_response(), which finds the optimal sequence of days that are related to one or more tree-ring proxy records. Similar function is daily_response_seascorr(), which implements partial correlations in the analysis of daily response functions. For the enthusiast of monthly data, there is monthly_response() function. The last core function is compare_methods(), which effectively compares several linear and nonlinear regression algorithms on the task of climate reconstruction.
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

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Package camtrapR updated to version 1.2.2 with previous version 1.2.1 dated 2019-12-17

Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Description: Management of and data extraction from camera trap photographs in wildlife studies. The package provides a workflow for storing and sorting camera trap photos, tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it provides simple mapping functions (number of species, number of independent species detections by station including GIS export) and can visualise species activity data.
Author: Juergen Niedballa [aut, cre], Alexandre Courtiol [aut], Rahel Sollmann [aut], John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb], Azlan bin Mohamed [ctb], Andrew Tilker [ctb], Andreas Wilting [ctb, ths]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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More information about camtrapR at CRAN
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Package bssm updated to version 0.1.8-1 with previous version 0.1.8 dated 2019-09-25

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and parallel importance sampling type weighted Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). Gaussian, Poisson, binomial, or negative binomial observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package ozmaps updated to version 0.3.0 with previous version 0.2.0 dated 2019-11-06

Title: Australia Maps
Description: Maps of Australian coastline and administrative regions. Data can be drawn or accessed directly as simple features objects. Includes simple functions for country or state maps of Australia and in-built data sets of administrative regions from the Australian Bureau of Statistics <https://www.abs.gov.au/>. Layers include electoral divisions and local government areas, simplified from the original sources but with sufficient detail to allow mapping of a local municipality.
Author: Michael Sumner [aut, cre], Dianne Cook [ctb], Edzer Pebesma [ctb] (sf plot)
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package hereR updated to version 0.3.0 with previous version 0.2.1 dated 2019-12-16

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autocomplete addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing' API; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre]
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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