Wed, 26 Aug 2020

Package tsdb updated to version 0.7-4 with previous version 0.7-1 dated 2019-08-29

Title: Terribly-Simple Data Base for Time Series
Description: A terribly-simple data base for numeric time series, written purely in R, so no external database-software is needed. Series are stored in plain-text files (the most-portable and enduring file type) in CSV format. Timestamps are encoded using R's native numeric representation for 'Date'/'POSIXct', which makes them fast to parse, but keeps them accessible with other software. The package provides tools for saving and updating series in this standardised format, for retrieving and joining data, for summarising files and directories, and for coercing series from and to other data types (such as 'zoo' series).
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package nzilbb.labbcat updated to version 0.6-1 with previous version 0.5-1 dated 2020-06-13

Title: Accessing Data Stored in 'LaBB-CAT' Instances
Description: 'LaBB-CAT' is a web-based language corpus management system developed by the New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see <https://labbcat.canterbury.ac.nz>. This package defines functions for accessing corpus data in a 'LaBB-CAT' instance. You must have at least version 20200812.1253 of 'LaBB-CAT' to use this package. For more information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008) <doi:10.3366/E1749503208000142> or Robert Fromont (2017) <doi:10.1016/j.csl.2017.01.004>.
Author: Robert Fromont [aut, cre]
Maintainer: Robert Fromont <robert@fromont.net.nz>

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Package climextRemes updated to version 0.2.2 with previous version 0.2.1 dated 2019-06-03

Title: Tools for Analyzing Climate Extremes
Description: Functions for fitting GEV and POT (via point process fitting) models for extremes in climate data, providing return values, return probabilities, and return periods for stationary and nonstationary models. Also provides differences in return values and differences in log return probabilities for contrasts of covariate values. Functions for estimating risk ratios for event attribution analyses, including uncertainty. Under the hood, many of the functions use functions from 'extRemes', including for fitting the statistical models. Details are given in Paciorek, Stone, and Wehner (2018) <doi:10.1016/j.wace.2018.01.002>.
Author: Christopher Paciorek [aut, cre], Harinarayan Krishnan [ctb]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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Package BHSBVAR updated to version 2.1.0 with previous version 2.0.2 dated 2020-01-18

Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Author: Paul Richardson
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>

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Package autoFRK updated to version 1.3.1 with previous version 1.3.0 dated 2020-05-27

Title: Automatic Fixed Rank Kriging
Description: Automatic fixed rank kriging for (irregularly located) spatial data using a class of basis functions with multi-resolution features and ordered in terms of their resolutions. The model parameters are estimated by maximum likelihood (ML) and the number of basis functions is determined by Akaike's information criterion (AIC). For spatial data with either one realization or independent replicates, the ML estimates and AIC are efficiently computed using their closed-form expressions when no missing value occurs. Details regarding the basis function construction, parameter estimation, and AIC calculation can be found in Tzeng and Huang (2018) <doi:10.1080/00401706.2017.1345701>. For data with missing values, the ML estimates are obtained using the expectation- maximization algorithm. Apart from the number of basis functions, there are no other tuning parameters, making the method fully automatic. Users can also include a stationary structure in the spatial covariance, which utilizes 'LatticeKrig' package.
Author: ShengLi Tzeng [aut, cre], Hsin-Cheng Huang [aut], Wen-Ting Wang [ctb], Douglas Nychka [ctb], Colin Gillespie [ctb]
Maintainer: ShengLi Tzeng <slt.cmu@gmail.com>

Diff between autoFRK versions 1.3.0 dated 2020-05-27 and 1.3.1 dated 2020-08-26

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Package RSEIS updated to version 3.9-3 with previous version 3.9-0 dated 2019-09-18

Title: Seismic Time Series Analysis Tools
Description: Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Leonard Lisapaly [ctb], Dave Harris [aut, cph]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

Diff between RSEIS versions 3.9-0 dated 2019-09-18 and 3.9-3 dated 2020-08-26

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Package rmcorr updated to version 0.4.1 with previous version 0.4.0 dated 2020-06-27

Title: Repeated Measures Correlation
Description: Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.
Author: Jonathan Z. Bakdash, Laura R. Marusich
Maintainer: Laura R. Marusich <laura.m.cooper20.civ@mail.mil>

Diff between rmcorr versions 0.4.0 dated 2020-06-27 and 0.4.1 dated 2020-08-26

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Package radiant.model updated to version 1.3.14 with previous version 1.3.13 dated 2020-08-10

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.model versions 1.3.13 dated 2020-08-10 and 1.3.14 dated 2020-08-26

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Package R.utils updated to version 2.10.1 with previous version 2.9.2 dated 2019-12-08

Title: Various Programming Utilities
Description: Utility functions useful when programming and developing R packages.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.utils versions 2.9.2 dated 2019-12-08 and 2.10.1 dated 2020-08-26

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New package QRIpkg with initial version 0.1.0
Package: QRIpkg
Title: Quantile Regression Index (QRI) Score
Version: 0.1.0
Authors@R: c( person(given = "Peter", family = "Kochunov", role = c("aut"), email = "pkochunov@gmail.com"), person(given = "Si", family = "Gao", role = c("aut", "cre"), email = "sgao@som.umaryland.edu"), person(given = "Meghann", family = "Ryan", role = c("aut"), email = "mcryan@som.umaryland.edu") )
Description: QRI function performs quantile regression analysis using age and sex as predictors to calculate the Quantile Regression Index (QRI) score for each individual’s regional brain imaging metrics and then averages across the regional scores to generate an average tissue specific score for each subject.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: stats, quantreg
NeedsCompilation: no
Packaged: 2020-08-24 13:24:14 UTC; AbestSG
Author: Peter Kochunov [aut], Si Gao [aut, cre], Meghann Ryan [aut]
Maintainer: Si Gao <sgao@som.umaryland.edu>
Repository: CRAN
Date/Publication: 2020-08-26 22:40:06 UTC

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Package MPTinR updated to version 1.13.0 with previous version 1.12.0 dated 2019-12-14

Title: Analyze Multinomial Processing Tree Models
Description: Provides a user-friendly way for the analysis of multinomial processing tree (MPT) models (e.g., Riefer, D. M., and Batchelder, W. H. [1988]. Multinomial modeling and the measurement of cognitive processes. Psychological Review, 95, 318-339) for single and multiple datasets. The main functions perform model fitting and model selection. Model selection can be done using AIC, BIC, or the Fisher Information Approximation (FIA) a measure based on the Minimum Description Length (MDL) framework. The model and restrictions can be specified in external files or within an R script in an intuitive syntax or using the context-free language for MPTs. The 'classical' .EQN file format for model files is also supported. Besides MPTs, this package can fit a wide variety of other cognitive models such as SDT models (see fit.model). It also supports multicore fitting and FIA calculation (using the snowfall package), can generate or bootstrap data for simulations, and plot predicted versus observed data.
Author: Henrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb]
Maintainer: Henrik Singmann <singmann@gmail.com>

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Package mousetrap updated to version 3.1.5 with previous version 3.1.4 dated 2019-12-05

Title: Process and Analyze Mouse-Tracking Data
Description: Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
Author: Pascal J. Kieslich [aut, cre] (<https://orcid.org/0000-0002-0853-9364>), Dirk U. Wulff [aut] (<https://orcid.org/0000-0002-4008-8022>), Felix Henninger [aut] (<https://orcid.org/0000-0002-7730-9511>), Jonas M. B. Haslbeck [aut], Sarah Brockhaus [ctb]
Maintainer: Pascal J. Kieslich <pascal.kieslich@gmail.com>

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More information about mousetrap at CRAN
Permanent link

Package HAC updated to version 1.0-8 with previous version 1.0-7 dated 2020-06-09

Title: Estimation, Simulation and Visualization of Hierarchical Archimedean Copulae (HAC)
Description: Package provides the estimation of the structure and the parameters, sampling methods and structural plots of Hierarchical Archimedean Copulae (HAC).
Author: Ostap Okhrin <ostap.okhrin@tu-dresden.de> and Alexander Ristig <alexander.ristig@univie.ac.at>
Maintainer: Alexander Ristig <alexander.ristig@univie.ac.at>

Diff between HAC versions 1.0-7 dated 2020-06-09 and 1.0-8 dated 2020-08-26

 DESCRIPTION       |    8 ++++----
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 inst/ChangeLog    |    6 ++++++
 inst/doc/HAC.R    |   26 +++++++++++++-------------
 inst/doc/HAC.Rnw  |   15 +++------------
 inst/doc/HAC.pdf  |binary
 vignettes/HAC.Rnw |   15 +++------------
 8 files changed, 38 insertions(+), 50 deletions(-)

More information about HAC at CRAN
Permanent link

Package creditmodel updated to version 1.2.5 with previous version 1.2.4 dated 2020-07-13

Title: Toolkit for Credit Modeling, Analysis and Visualization
Description: Provides a highly efficient R tool suite for Credit Modeling, Analysis and Visualization. Contains infrastructure functionalities such as data exploration and preparation, missing values treatment, outliers treatment, variable derivation, variable selection, dimensionality reduction, grid search for hyper parameters, data mining and visualization, model evaluation, strategy analysis etc. This package is designed to make the development of binary classification models (machine learning based models as well as credit scorecard) simpler and faster.
Author: Dongping Fan [aut, cre]
Maintainer: Dongping Fan <fdp@pku.edu.cn>

Diff between creditmodel versions 1.2.4 dated 2020-07-13 and 1.2.5 dated 2020-08-26

 DESCRIPTION                         |   10 
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 98 files changed, 2524 insertions(+), 1081 deletions(-)

More information about creditmodel at CRAN
Permanent link

Package Claddis updated to version 0.6.1 with previous version 0.3.4 dated 2019-12-05

Title: Measuring Morphological Diversity and Evolutionary Tempo
Description: Measures morphological diversity from discrete character data and estimates evolutionary tempo on phylogenetic trees. Imports morphological data from #NEXUS (Maddison et al. (1997) <doi:10.1093/sysbio/46.4.590>) format with read_nexus_matrix(), and writes to both #NEXUS and TNT format (Goloboff et al. (2008) <doi:10.1111/j.1096-0031.2008.00217.x>). Main functions are test_rates(), which implements AIC and likelihood ratio tests for discrete character rates introduced across Lloyd et al. (2012) <doi:10.1111/j.1558-5646.2011.01460.x>, Brusatte et al. (2014) <doi:10.1016/j.cub.2014.08.034>, Close et al. (2015) <doi:10.1016/j.cub.2015.06.047>, and Lloyd (2016) <doi:10.1111/bij.12746>, and MatrixDistances(), which implements multiple discrete character distance metrics from Gower (1971) <doi:10.2307/2528823>, Wills (1998) <doi:10.1006/bijl.1998.0255>, Lloyd (2016) <doi:10.1111/bij.12746>, and Hopkins and St John (2018) <doi:10.1098/rspb.2018.1784>. This also includes the GED correction from Lehmann et al. (2019) <doi:10.1111/pala.12430>. Multiple functions implement morphospace plots: plot_chronophylomorphospace() implements Sakamoto and Ruta (2012) <doi:10.1371/journal.pone.0039752>, plot_morphospace() implements Wills et al. (1994) <doi:10.1017/S009483730001263X>, plot_changes_on_tree() implements Wang and Lloyd (2016) <doi:10.1098/rspb.2016.0214>, and plot_morphospace_stack() implements Foote (1993) <doi:10.1017/S0094837300015864>. Other functions include safe_taxonomic_reduction(), which implements Wilkinson (1995) <doi:10.1093/sysbio/44.4.501>, map_dollo_changes() implements the Dollo stochastic character mapping of Tarver et al. (2018) <doi:10.1093/gbe/evy096>, and estimate_ancestral_states() implements the ancestral state options of Lloyd (2018) <doi:10.1111/pala.12380>.
Author: Graeme T. Lloyd [aut, cre, cph], Thomas Guillerme [aut, cph], Emma Sherratt [aut, cph], Steve C. Wang [aut, cph]
Maintainer: Graeme T. Lloyd <graemetlloyd@gmail.com>

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Package bwsTools updated to version 1.2.0 with previous version 1.1.1 dated 2020-06-14

Title: Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
Description: Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and to analyze data from these designs, using aggregate and individual methods such as: difference scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical Bayes, Lipovetsky & Conklin (2015) <doi:10.1142/S1793536915500028>; Elo, Hollis (2018) <doi:10.3758/s13428-017-0898-2>; and network-based measures.
Author: Mark White [aut, cre]
Maintainer: Mark White <markhwhiteii@gmail.com>

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Package BMTME updated to version 1.0.19 with previous version 1.0.15 dated 2020-05-26

Title: Bayesian Multi-Trait Multi-Environment for Genomic Selection Analysis
Description: Genomic selection and prediction models with the capacity to use multiple traits and environments, through ready-to-use Bayesian models. It consists a group of functions that help to create regression models for some genomic models proposed by Montesinos-López, et al. (2016) <doi:10.1534/g3.116.032359> also in Montesinos-López et al. (2018) <doi:10.1534/g3.118.200728> and Montesinos-López et al. (2018) <doi:10.2134/agronj2018.06.0362>.
Author: Francisco Javier Luna-Vazquez [aut, cre] (<https://orcid.org/0000-0002-5370-7152>), Fernando H. Toledo [aut], Osval Antonio Montesinos-Lopez [aut] (<https://orcid.org/0000-0002-3973-6547>), Abelardo Montesinos-Lopez [aut], Jose Crossa [aut] (<https://orcid.org/0000-0001-9429-5855>)
Maintainer: Francisco Javier Luna-Vazquez <frahik@gmail.com>

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Package backbone updated to version 1.2.2 with previous version 1.2.1 dated 2020-07-03

Title: Extracts the Backbone from Weighted Graphs
Description: Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), hypergeometric model (Neal, Z. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), as well as a universal threshold method.
Author: Rachel Domagalski [aut, cre], Zachary Neal [aut], Bruce Sagan [aut]
Maintainer: Rachel Domagalski <domagal9@msu.edu>

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Package pmxTools updated to version 1.2.1 with previous version 1.0 dated 2020-01-10

Title: Pharmacometric and Pharmacokinetic Toolkit
Description: Pharmacometric tools for common data analytical tasks; closed-form solutions for calculating concentrations at given times after dosing based on compartmental PK models (1-compartment, 2-compartment and 3-compartment, covering infusions, zero- and first-order absorption, and lag times, after single doses and at steady state, per Bertrand & Mentre (2008) <http://lixoft.com/wp-content/uploads/2016/03/PKPDlibrary.pdf>); parametric simulation from NONMEM-generated parameter estimates and other output; and parsing, tabulating and plotting results generated by Perl-speaks-NONMEM (PsN).
Author: Justin Wilkins [aut, cre] (<https://orcid.org/0000-0002-7099-9396>), Bill Denney [aut] (<https://orcid.org/0000-0002-5759-428X>), Rik Schoemaker [aut], Leonid Gibiansky [ctb], Andrew Hooker [ctb], E. Niclas Jonsson [ctb], Mats O. Karlsson [ctb], John Johnson [ctb]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>

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Package EpiCurve updated to version 2.4-1 with previous version 2.3-1 dated 2020-04-11

Title: Plot an Epidemic Curve
Description: Creates simple or stacked epidemic curves for hourly, daily, weekly or monthly outcome data.
Author: Jean Pierre Decorps [aut, cre]
Maintainer: Jean Pierre Decorps <jean.pierre.decorps@gmail.com>

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Package sen2r updated to version 1.3.8 with previous version 1.3.7 dated 2020-07-06

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

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Package CLVTools updated to version 0.7.0 with previous version 0.6.0 dated 2020-06-24

Title: Tools for Customer Lifetime Value Estimation
Description: Probabilistic latent customer attrition models (also known as "buy-'til-you-die models") are used to predict future purchase behavior of customers. This package includes fast and accurate implementations of various probabilistic latent customer attrition models for non-contractual settings (e.g., retail business) with and without time-invariant and time-varying covariates. Currently, the package includes the Pareto/NBD model (Pareto/Negative-Binomial-Distribution), the BG/NBD mode (Beta-Gamma/Negative-Binomial-Distribution) and the GGom/NBD (Gamma-Gompertz/Negative-Binomial-Distribution) for the purchase and the attrition processes as well as the Gamma/Gamma model for the spending process. For reference to the Pareto/NBD model, see Schmittlein DC, Morrison DG, Colombo R (1987) <doi:10.1287/mnsc.33.1.1>, for the BG/NBD model, see Fader PS, Hardie BG, Lee K (2005) <doi:10.1287/mksc.1040.0098> and for the GGom/NBD model see Bemmaor AC, Glady N (2012) <doi:10.1287/mnsc.1110.1461>. For reference to the Gamma/Gamma model, see Fader PS, Hardie BG, Lee K (2005) <doi:10.1509/jmkr.2005.42.4.415>.
Author: Patrick Bachmann [cre, aut], Jeffrey Naef [aut], Patrik Schilter [aut], Markus Meierer [aut], Niels Kuebler [aut]
Maintainer: Patrick Bachmann <patrick.bachmann@business.uzh.ch>

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Package cartogram updated to version 0.2.2 with previous version 0.2.0 dated 2019-12-07

Title: Create Cartograms with R
Description: Construct continuous and non-contiguous area cartograms.
Author: Sebastian Jeworutzki [aut, cre] (<https://orcid.org/0000-0002-2671-5253>), Timothee Giraud [ctb], Nicolas Lambert [ctb], Roger Bivand [cph], Edzer Pebesma [cph], Jakub Nowosad [ctb] (<https://orcid.org/0000-0002-1057-3721>)
Maintainer: Sebastian Jeworutzki <sebastian.jeworutzki@ruhr-uni-bochum.de>

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Package etm (with last version 1.1) was removed from CRAN

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2020-04-20 1.1
2020-01-29 1.0.5.1
2019-05-28 1.0.5
2018-07-11 1.0.4
2018-07-04 1.0.3
2018-06-11 0.6-2.1
2014-12-09 0.6-2
2014-03-27 0.6-1
2013-12-18 0.6
2012-04-04 0.5-4
2011-01-03 0.5-2
2010-11-29 0.5-1
2010-11-04 0.5
2009-11-12 0.4-7
2009-09-03 0.4-6
2009-06-14 0.4-3
2009-04-14 0.4-0
2009-02-04 0.3-7
2009-02-01 0.3-6
2008-12-18 0.3-5
2008-10-30 0.3-3
2008-07-15 0.3-2

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Package mafs (with last version 0.0.3) was removed from CRAN

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

2017-10-19 0.0.3
2017-01-25 0.0.2
2016-11-19 0.0.1

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Package writexl updated to version 1.3.1 with previous version 1.3 dated 2020-05-05

Title: Export Data Frames to Excel 'xlsx' Format
Description: Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter'. Fast and no Java or Excel required.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), John McNamara [cph] (Author of libxlsxwriter (see AUTHORS and COPYRIGHT files for details))
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package stepR updated to version 2.1-1 with previous version 2.1-0 dated 2020-08-04

Title: Multiscale Change-Point Inference
Description: Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.
Author: Pein Florian [aut, cre], Thomas Hotz [aut], Hannes Sieling [aut], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <fp366@cam.ac.uk>

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New package TreeLS with initial version 2.0.2
Package: TreeLS
Type: Package
Title: Terrestrial Point Cloud Processing of Forest Data
Version: 2.0.2
Date: 2020-08-21
Authors@R: c(person("Tiago", "de Conto", email = "tdc.florestal@gmail.com", role = c("aut", "cre")))
Description: High performance algorithms for manipulation of terrestrial 'LiDAR' (but not only) point clouds for use in research and forest monitoring applications, being fully compatible with the 'LAS' infrastructure of 'lidR'. For in depth descriptions of stem denoising and segmentation algorithms refer to Conto et al. (2017) <doi:10.1016/j.compag.2017.10.019>.
URL: https://github.com/tiagodc/TreeLS
Depends: R (>= 3.3.0), data.table (>= 1.12.0), magrittr (>= 1.5), lidR (>= 3.0.0)
Imports: rgl, raster, sp, deldir, dismo, nabor, benchmarkme, rlas, glue, mathjaxr
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: RcppArmadillo,Rcpp,BH,RcppEigen
RoxygenNote: 7.1.1
RdMacros: mathjaxr
NeedsCompilation: yes
Packaged: 2020-08-25 20:56:40 UTC; tiago
Author: Tiago de Conto [aut, cre]
Maintainer: Tiago de Conto <tdc.florestal@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-26 16:20:03 UTC

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Package SQUAREM updated to version 2020.4 with previous version 2020.3 dated 2020-06-05

Title: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("SQUAREM"). Refer to the J Stat Software article: <doi:10.18637/jss.v092.i07>.
Author: Ravi Varadhan
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package spgwr updated to version 0.6-34 with previous version 0.6-33 dated 2020-02-11

Title: Geographically Weighted Regression
Description: Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Danlin Yu [aut], Tomoki Nakaya [ctb], Miquel-Angel Garcia-Lopez [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package sortable updated to version 0.4.3 with previous version 0.4.2 dated 2019-12-01

Title: Drag-and-Drop in 'shiny' Apps with 'SortableJS'
Description: Enables drag-and-drop behaviour in Shiny apps, by exposing the functionality of the 'SortableJS' <https://sortablejs.github.io/Sortable/> JavaScript library as an 'htmlwidget'. You can use this in Shiny apps and widgets, 'learnr' tutorials as well as R Markdown. In addition, provides a custom 'learnr' question type - 'question_rank()' - that allows ranking questions with drag-and-drop.
Author: Andrie de Vries [cre, aut], Barret Schloerke [aut], Kenton Russell [aut, ccp] (Original author), RStudio [cph, fnd], Lebedev Konstantin [cph] ('SortableJS', https://sortablejs.github.io/Sortable/)
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package RCzechia updated to version 1.5.3 with previous version 1.5.1 dated 2020-07-17

Title: Spatial Objects of the Czech Republic
Description: Administrative regions and other spatial objects of the Czech Republic.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package MatTransMix updated to version 0.1.11 with previous version 0.1.10 dated 2020-06-28

Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Description: Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20@cba.ua.edu>

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Package hydraulics updated to version 0.2.2 with previous version 0.2.1 dated 2020-08-02

Title: Basic Pipe and Open Channel Hydraulics
Description: Functions for basic hydraulic calculations related to water flow in circular pipes both flowing full (under pressure), and partially full (gravity flow), and trapezoidal open channels. For pressure flow this includes friction loss calculations by solving the Darcy-Weisbach equation for head loss, flow or diameter, and plotting a Moody diagram. The Darcy-Weisbach friction factor is calculated using the Colebrook (or Colebrook-White equation), the basis of the Moody diagram, the original citation being Colebrook (1939) <doi:10.1680/ijoti.1939.13150>. For gravity flow, the Manning equation is used, again solving for missing parameters. The derivation of and solutions using the Darcy-Weisbach equation and the Manning equation are outlined in many fluid mechanics texts such as Finnemore and Franzini (2002, ISBN:978-0072432022). For the Manning equation solutions, this package uses modifications of original code from the 'iemisc' package by Irucka Embry.
Author: Ed Maurer [aut, cre], Irucka Embry [aut, ctb] (iemisc code)
Maintainer: Ed Maurer <emaurer@scu.edu>

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Package Eagle updated to version 2.4 with previous version 2.3 dated 2020-07-22

Title: Multiple Locus Association Mapping on a Genome-Wide Scale
Description: An implementation of multiple-locus association mapping on a genome-wide scale. 'Eagle' can handle inbred and outbred study populations, populations of arbitrary unknown complexity, and data larger than the memory capacity of the computer. Since 'Eagle' is based on linear mixed models, it is best suited to the analysis of data on continuous traits. However, it can tolerate non-normal data. 'Eagle' reports, as its findings, the best set of snp in strongest association with a trait. For users unfamiliar with R, to perform an analysis, run 'OpenGUI()'. This opens a web browser to the menu-driven user interface for the input of data, and for performing genome-wide analysis.
Author: Andrew George [aut, cre], Joshua Bowden [ctb], Ryan Stephenson [ctb], Hyun Kang [ctb], Noah Zaitlen [ctb], Claire Wade [ctb], Andrew Kirby [ctb], David Heckerman [ctb], Mark Daly [ctb], Eleazar Eskin [ctb]
Maintainer: Andrew George <andrew.george@csiro.au>

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Package rticles updated to version 0.15 with previous version 0.14 dated 2020-02-05

Title: Article Formats for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), R Foundation [aut, cph], Hadley Wickham [aut], Journal of Statistical Software [aut, cph], RStudio [cph], Ramnath Vaidyanathan [aut, cph], Association for Computing Machinery [aut, cph], Carl Boettiger [aut, cph], Elsevier [aut, cph], Karl Broman [aut, cph], Kirill Mueller [aut, cph], Bastiaan Quast [aut, cph], Randall Pruim [aut, cph], Ben Marwick [aut, cph], Charlotte Wickham [aut, cph], Oliver Keyes [aut, cph], Miao Yu [aut, cph], Daniel Emaasit [aut, cph], Thierry Onkelinx [aut, cph], Alessandro Gasparini [aut, cph] (<https://orcid.org/0000-0002-8319-7624>), Marc-Andre Desautels [aut, cph], Dominik Leutnant [aut, cph] (<https://orcid.org/0000-0003-3293-2315>), MDPI [aut, cph], Taylor and Francis [aut, cph], Oğuzhan Öğreden [aut] (<https://orcid.org/0000-0002-9949-3348>), Dalton Hance [aut], Daniel Nüst [aut, cph] (<https://orcid.org/0000-0002-0024-5046>), Petter Uvesten [aut, cph], Elio Campitelli [aut, cph] (<https://orcid.org/0000-0002-7742-9230>), John Muschelli [aut, cph] (<https://orcid.org/0000-0001-6469-1750>), Alex Hayes [aut] (<https://orcid.org/0000-0002-4985-5160>), Zhian N. Kamvar [aut, cph] (<https://orcid.org/0000-0003-1458-7108>), Noam Ross [aut, cph] (<https://orcid.org/0000-0002-2136-0000>), Robrecht Cannoodt [aut, cph] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Duncan Luguern [aut], David M. Kaplan [aut, ctb] (<https://orcid.org/0000-0001-6087-359X>, dmkaplan2000), Sebastian Kreutzer [aut] (<https://orcid.org/0000-0002-0734-2199>), Shixiang Wang [aut, ctb] (<https://orcid.org/0000-0001-9855-7357>), Jay Hesselberth [aut, ctb] (<https://orcid.org/0000-0002-6299-179X>), Alfredo Hernández [ctb] (<https://orcid.org/0000-0002-2660-4545>), Christophe Dervieux [aut] (<https://orcid.org/0000-0003-4474-2498>)
Maintainer: Yihui Xie <xie@yihui.name>

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Package Rlabkey updated to version 2.5.3 with previous version 2.5.2 dated 2020-08-12

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

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Package respirometry updated to version 1.2.0 with previous version 1.1.0 dated 2020-04-29

Title: Tools for Conducting and Analyzing Respirometry Experiments
Description: Provides tools to enable the researcher to more precisely conduct respirometry experiments. Strong emphasis is on aquatic respirometry. Tools focus on helping the researcher setup and conduct experiments. Functions for analysis of resulting respirometry data are also provided. This package provides tools for intermittent, flow-through, and closed respirometry techniques.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

Diff between respirometry versions 1.1.0 dated 2020-04-29 and 1.2.0 dated 2020-08-26

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Package rdrobust updated to version 0.99.9 with previous version 0.99.8 dated 2020-06-05

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico <sebastian.calonico@columbia.edu>, Matias D. Cattaneo <cattaneo@princeton.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>, Rocio Titiunik <titiunik@princeton.edu>
Maintainer: Sebastian Calonico <sebastian.calonico@columbia.edu>

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Package R.oo updated to version 1.24.0 with previous version 1.23.0 dated 2019-11-03

Title: R Object-Oriented Programming with or without References
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package R.methodsS3 updated to version 1.8.1 with previous version 1.8.0 dated 2020-02-14

Title: S3 Methods Simplified
Description: Methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4. This is a cross-platform package implemented in pure R that generates standard S3 methods.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.methodsS3 versions 1.8.0 dated 2020-02-14 and 1.8.1 dated 2020-08-26

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Package mrfDepth updated to version 1.0.13 with previous version 1.0.12 dated 2020-04-01

Title: Depth Measures in Multivariate, Regression and Functional Settings
Description: Tools to compute depth measures and implementations of related tasks such as outlier detection, data exploration and classification of multivariate, regression and functional data.
Author: Pieter Segaert [aut], Mia Hubert [aut], Peter Rousseeuw [aut], Jakob Raymaekers [aut, cre], Kaveh Vakili [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

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Package matrixNormal updated to version 0.0.4 with previous version 0.0.1 dated 2019-07-09

Title: The Matrix Normal Distribution
Description: Computes densities, probabilities, and random deviates of the Matrix Normal (Iranmanesh et al. (2010) <doi:10.7508/ijmsi.2010.02.004>). Also includes simple but useful matrix functions. See the vignette for more information.
Author: Paul M. Hargarten [aut, cre]
Maintainer: Paul M. Hargarten <hargartenp@vcu.edu>

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Package loon.data updated to version 0.1.1 with previous version 0.1.0 dated 2020-05-30

Title: Data Used to Illustrate 'Loon' Functionality
Description: Data used as examples in the 'loon' package.
Author: R. Wayne Oldford [aut, cre], Adrian Waddell [aut]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

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Package kyotil updated to version 2020.8-22 with previous version 2019.11-22 dated 2019-11-25

Title: Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies
Description: Helper functions for creating formatted summary of regression models, writing publication-ready tables to latex files, and running Monte Carlo experiments.
Author: Youyi Fong [cre], Krisztian Sebestyen [aut], Jason Becker [ctb], Bendix Carstensen [ctb], Daryl Morris [ctb], Josh Pasek [ctb], Dennis Chao [ctb], Andri Signorell [ctb]
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package jstable updated to version 0.9.6 with previous version 0.9.5 dated 2020-06-02

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package jskm updated to version 0.4.0 with previous version 0.3.9 dated 2020-05-17

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package insight updated to version 0.9.1 with previous version 0.9.0 dated 2020-07-20

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package freesurferformats updated to version 0.1.12 with previous version 0.1.11 dated 2020-06-17

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This includes, but is not limited to, 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 evgam updated to version 0.1.4 with previous version 0.1.2 dated 2020-04-18

Title: Generalised Additive Extreme Value Models
Description: Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.
Author: Ben Youngman
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>

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Package errors updated to version 0.3.5 with previous version 0.3.4 dated 2020-06-13

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Author: Iñaki Ucar [aut, cph, cre] (<https://orcid.org/0000-0001-6403-5550>), Lionel Henry [ctb], RStudio [cph] (Copyright for code written by RStudio employees.)
Maintainer: Iñaki Ucar <iucar@fedoraproject.org>

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Package distr6 updated to version 1.4.3 with previous version 1.4.1 dated 2020-07-22

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

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Package diffeqr updated to version 1.0.0 with previous version 0.1.3 dated 2019-09-22

Title: Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)
Description: An interface to 'DifferentialEquations.jl' <https://diffeq.sciml.ai/dev/> from the R programming language. It has unique high performance methods for solving ordinary differential equations (ODE), stochastic differential equations (SDE), delay differential equations (DDE), differential-algebraic equations (DAE), and more. Much of the functionality, including features like adaptive time stepping in SDEs, are unique and allow for multiple orders of magnitude speedup over more common methods. 'diffeqr' attaches an R interface onto the package, allowing seamless use of this tooling by R users.
Author: Christopher Rackauckas [aut, cre]
Maintainer: Christopher Rackauckas <me@chrisrackauckas.com>

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Package dendextend updated to version 1.14.0 with previous version 1.13.4 dated 2020-02-28

Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf), Samuel Perreault [ctb] (https://github.com/samperochkin), Christian Hennig [ctb] (http://www.homepages.ucl.ac.uk/~ucakche/), David Bradley [ctb] (https://github.com/DBradley27), Houyun Huang [ctb] (https://github.com/houyunhuang)
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package DataSpaceR updated to version 0.7.4 with previous version 0.7.3 dated 2020-01-08

Title: Interface to 'the CAVD DataSpace'
Description: Provides a convenient API interface to access immunological data within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.
Author: Ju Yeong Kim [aut, cre, cph], Sean Hughes [rev] (Sean reviewed the package for ropensci, see <https://github.com/ropensci/software-review/issues/261>), Jason Taylor [aut], Helen Miller [aut]
Maintainer: Ju Yeong Kim <jkim2345@fredhutch.org>

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Package CBCgrps updated to version 2.8.1 with previous version 2.7 dated 2020-02-24

Title: Compare Baseline Characteristics Between Groups
Description: Compare baseline characteristics between two or more groups. The variables being compared can be factor and numeric variables. The function will automatically judge the type and distribution of the variables, and make statistical description and bivariate analysis.
Author: Zhongheng Zhang, Sir Run Run Shaw hospital, Zhejiang university school of medicine
Maintainer: Zhongheng Zhang <zh_zhang1984@zju.edu.cn>

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Package CARBayesdata updated to version 2.2 with previous version 2.1 dated 2018-08-31

Title: Data Used in the Vignettes Accompanying the CARBayes and CARBayesST Packages
Description: Spatio-temporal data from Scotland used in the vignettes accompanying the CARBayes (spatial modelling) and CARBayesST (spatio-temporal modelling) packages. All data except for the Scottish lip cancer data relate to the set of 271 Intermediate Geographies (IG, but also known as Intermediate Zones (IZ)) that make up the 2001 definition of the Greater Glasgow and Clyde health board.
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

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Package BDgraph updated to version 2.63 with previous version 2.62 dated 2019-12-05

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.
Author: Reza Mohammadi [aut, cre] (<https://orcid.org/0000-0001-9538-0648>), Ernst Wit [aut] (<https://orcid.org/0000-0002-3671-9610>), Adrian Dobra [ctb] (<https://orcid.org/0000-0001-7793-2197>)
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

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Package AICcmodavg updated to version 2.3-1 with previous version 2.3-0 dated 2020-07-03

Title: Model Selection and Multimodel Inference Based on (Q)AIC(c)
Description: Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes. The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes. The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs', 'rjags', and 'jagsUI' classes. Functions also implement model selection using BIC. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Author: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>
Maintainer: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>

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Package adiv updated to version 2.0.1 with previous version 2.0 dated 2020-02-11

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 drake updated to version 7.12.5 with previous version 7.12.4 dated 2020-06-29

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>), Tristan Mahr [ctb] (<https://orcid.org/0000-0002-8890-5116>), Miles McBain [ctb] (<https://orcid.org/0000-0003-2865-2548>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>), Ellis Hughes [ctb], Matthew Mark Strasiotto [ctb], Ben Marwick [rev], Peter Slaughter [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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New package scLink with initial version 1.0.1
Package: scLink
Title: Inferring Functional Gene Co-Expression Networks from Single Cell Data
Version: 1.0.1
Authors@R: person(given = "Wei Vivian", family = "Li", role = c("aut", "cre"), email = "vivian.li@rutgers.edu", comment = c(ORCID = "0000-0002-2087-2709"))
Description: Uses statistical network modeling to understand the co-expression relationships among genes and to construct sparse gene co-expression networks from single-cell gene expression data.
License: GPL-3
Depends: R (>= 3.5.0), parallel, glasso
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-08-15 00:29:18 UTC; wei
Author: Wei Vivian Li [aut, cre] (<https://orcid.org/0000-0002-2087-2709>)
Maintainer: Wei Vivian Li <vivian.li@rutgers.edu>
Repository: CRAN
Date/Publication: 2020-08-26 14:20:02 UTC

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New package libproj with initial version 7.1.0-1
Package: libproj
Title: Generic Coordinate Transformation Library ('PROJ') C API
Version: 7.1.0-1
Authors@R: c( person(given = "Dewey", family = "Dunnington", role = c("aut", "cre"), email = "dewey@fishandwhistle.net", comment = c(ORCID = "0000-0002-9415-4582")), person("PROJ authors", role = "aut"), person("Jeroen", "Ooms", role = "cph", comment = "configure script"), person("Evan", "Roualt", role = "cph"), person("Thomas", "Knudsen", role = "cph"), person("SDFE", role = "cph"), person("Kristan", "Evers", role = "cph"), person("Frank", "Warmerdam", role = "cph"), person("Charles", "Karney", role = "cph"), person("Evan", "Roualt", role = "cph") )
Description: Provides a 'PROJ' <https://proj.org> C API that can be used to write high-performance C and C++ coordinate transformation operations using R as an interface. This package contains an internal version of the 'PROJ' library to guarantee the best possible consistency on multiple platforms, and to provide a means by which 'PROJ' can be used on platforms where it may be impractical or impossible to install a binary version of the library.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, Rcpp
URL: https://github.com/paleolimbot/libproj
BugReports: https://github.com/paleolimbot/libproj/issues
NeedsCompilation: yes
Packaged: 2020-08-25 18:23:23 UTC; dewey
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), PROJ authors [aut], Jeroen Ooms [cph] (configure script), Evan Roualt [cph], Thomas Knudsen [cph], SDFE [cph], Kristan Evers [cph], Frank Warmerdam [cph], Charles Karney [cph], Evan Roualt [cph]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>
Repository: CRAN
Date/Publication: 2020-08-26 14:40:02 UTC

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New package CTShiny2 with initial version 0.1.0
Package: CTShiny2
Type: Package
Title: Interactive Document for Working with Classification Tree Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of classification tree analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0.0)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable,rpart,rpart.plot,party
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-25 16:53:15 UTC; kartikeya.bolar
Repository: CRAN
Date/Publication: 2020-08-26 14:30:02 UTC

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New package BLRShiny2 with initial version 0.1.0
Package: BLRShiny2
Type: Package
Title: Interactive Document for Working with Binary Logistic Regression Analysis
Version: 0.1.0
Author: Kartikeya Bolar
Maintainer: Kartikeya Bolar <kartikeya.bolar@tapmi.edu.in>
Description: An interactive document on the topic of binary logistic regression analysis using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the package function as well as at <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0.0)
Imports: shiny,rmarkdown,dplyr,datasets,caret,e1071,rhandsontable,ggplot2
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-25 15:33:31 UTC; kartikeya.bolar
Repository: CRAN
Date/Publication: 2020-08-26 14:10:02 UTC

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Package taxizedb updated to version 0.2.2 with previous version 0.2.0 dated 2020-08-13

Title: Tools for Working with 'Taxonomic' Databases
Description: Tools for working with 'taxonomic' databases, including utilities for downloading databases, loading them into various 'SQL' databases, cleaning up files, and providing a 'SQL' connection that can be used to do 'SQL' queries directly or used in 'dplyr'.
Author: Scott Chamberlain [aut, cre], Zebulun Arendsee [aut]
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

Diff between taxizedb versions 0.2.0 dated 2020-08-13 and 0.2.2 dated 2020-08-26

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New package o2geosocial with initial version 1.0.0
Package: o2geosocial
Type: Package
Title: Reconstruction of Transmission Chains from Surveillance Data
Version: 1.0.0
URL: https://github.com/alxsrobert/o2geosocial
Encoding: UTF-8
Authors@R: c(person("Alexis", "Robert", email = "alexis.robert@lshtm.ac.uk", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-4516-2965")), person("Sebastian", "Funk", email = "sebastian.funk@lshtm.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0002-2842-3406")), person("Adam J", "Kucharski", email = "adam.kucharski@lshtm.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0001-8814-9421")), person("Thibaut", "Jombart", role = c("ctb")))
Maintainer: Alexis Robert <alexis.robert@lshtm.ac.uk>
Description: Bayesian reconstruction of who infected whom during past outbreaks using routinely-collected surveillance data. Inference of transmission trees using genotype, age specific social contacts, distance between cases and onset dates of the reported cases. (Robert A, Kucharski AJ, Gastanaduy PA, Paul P, Funk S. 2020 <doi:10.1098/rsif.2020.0084>).
License: MIT + file LICENSE
Imports: Rcpp, methods, stats, grDevices, ape, geosphere, ggplot2, magrittr, visNetwork, data.table, outbreaker2
LazyData: true
Depends: R(>= 3.5.0)
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Suggests: testthat, tigris, sf, knitr, socialmixr, rmarkdown
VignetteBuilder: knitr
BugReports: https://github.com/alxsrobert/o2geosocial/issues
NeedsCompilation: yes
Packaged: 2020-08-25 11:58:20 UTC; Alexis Robert
Author: Alexis Robert [aut, cre, cph] (<https://orcid.org/0000-0002-4516-2965>), Sebastian Funk [aut] (<https://orcid.org/0000-0002-2842-3406>), Adam J Kucharski [aut] (<https://orcid.org/0000-0001-8814-9421>), Thibaut Jombart [ctb]
Repository: CRAN
Date/Publication: 2020-08-26 13:50:03 UTC

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Package DirStats updated to version 0.1.6 with previous version 0.1.5 dated 2020-08-24

Title: Nonparametric Methods for Directional Data
Description: Nonparametric kernel density estimation, bandwidth selection, and other utilities for analyzing directional data. Implements the estimator in Bai, Rao and Zhao (1987) <doi:10.1016/0047-259X(88)90113-3>, the cross-validation bandwidth selectors in Hall, Watson and Cabrera (1987) <doi:10.1093/biomet/74.4.751> and the plug-in bandwidth selectors in García-Portugués (2013) <doi:10.1214/13-ejs821>.
Author: Eduardo García-Portugués [aut, cre] (<https://orcid.org/0000-0002-9224-4111>)
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>

Diff between DirStats versions 0.1.5 dated 2020-08-24 and 0.1.6 dated 2020-08-26

 DESCRIPTION    |   12 +-
 MD5            |    6 -
 NEWS.md        |    4 
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Package dashboardthemes updated to version 1.1.3 with previous version 1.1.1 dated 2020-07-06

Title: Customise the Appearance of 'shinydashboard' Applications using Themes
Description: Allows manual creation of themes and logos to be used in applications created using the 'shinydashboard' package. Removes the need to change the underlying css code by wrapping it into a set of convenient R functions.
Author: Nik Lilovski [aut, cre]
Maintainer: Nik Lilovski <nik.lilovski@outlook.com>

Diff between dashboardthemes versions 1.1.1 dated 2020-07-06 and 1.1.3 dated 2020-08-26

 DESCRIPTION                                                                      |    8 +-
 MD5                                                                              |   18 +++---
 NEWS.md                                                                          |    7 ++
 R/CreateTheme_shinyDashboardThemeDIY.R                                           |    8 +-
 README.md                                                                        |   30 ++++++----
 inst/doc/using_dashboardthemes.html                                              |    4 -
 tests/testthat/test-CreateCss_cssGradientThreeColors.R                           |    2 
 tests/testthat/test-CreateTheme_shinyDashboardThemeDIY.R                         |    4 +
 tests/testthat/test-LintRules.R                                                  |    8 ++
 tests/testthat/test-assets/CreateTheme_shinyDashboardThemeDIY/ExpectedOutput.css |    2 
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Package czechrates updated to version 0.1.10 with previous version 0.1.8 dated 2020-06-03

Title: Czech Interest Rates
Description: Interface to interest rates as published by the Czech National Bank. Currently supported are the PRIBOR rates (PRague InterBank Offered Rate - the CZK member of the IBOR family of rates) and two-week repo rate - a key policy rate of CNB.
Author: Jindra Lacko
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

Diff between czechrates versions 0.1.8 dated 2020-06-03 and 0.1.10 dated 2020-08-26

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 MD5                    |   18 ++--
 NEWS.md                |    4 
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 R/repo2w.R             |    6 -
 README.md              |    3 
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 inst/doc/vignette.html |  212 ++++++++++++++++++++++++++-----------------------
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Package ccafs updated to version 0.3.0 with previous version 0.1.0 dated 2017-02-24

Title: Client for 'CCAFS' 'GCM' Data
Description: Client for Climate Change, Agriculture, and Food Security ('CCAFS') General Circulation Models ('GCM') data. Data is stored in Amazon 'S3', from which we provide functions to fetch data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package frailtypack (with last version 3.3.0) was removed from CRAN

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

2020-06-15 3.3.0
2020-05-27 3.2.0.1
2020-04-12 3.2.0
2020-01-17 3.1.0.1
2020-01-16 3.1.0
2019-10-30 3.0.3.2.1
2019-05-16 3.0.3.2
2019-03-04 3.0.3.1
2019-01-07 3.0.2.1
2018-12-10 3.0.2
2018-11-26 3.0.1
2018-09-25 2.13.2
2018-09-17 2.13.1
2018-07-30 2.12.7
2017-10-06 2.12.6
2017-09-21 2.12.5
2017-09-01 2.12.4
2017-08-01 2.12.3
2017-07-09 2.12.2
2017-06-16 2.12.1
2017-03-21 2.11.1
2017-03-12 2.11.0
2017-03-07 2.10.6
2017-02-03 2.10.5
2017-01-04 2.10.4
2016-10-19 2.10.3
2016-07-25 2.9.4
2016-07-08 2.9.3.1
2016-07-07 2.9.3
2016-01-13 2.8.3
2015-12-08 2.8.2
2015-11-21 2.8.1
2015-09-01 2.7.6.1
2015-03-06 2.7.5
2015-02-25 2.7.4
2014-10-16 2.7.2
2014-10-08 2.7.1
2014-08-30 2.7
2014-07-23 2.6.1
2014-03-24 2.6
2014-02-13 2.5.1
2013-11-20 2.5
2013-04-26 2.4.1
2013-04-05 2.4
2013-02-09 2.3
2012-11-27 2.2-27
2012-10-19 2.2-26
2012-09-06 2.2-25
2012-07-25 2.2-24
2012-04-05 2.2-23
2012-03-09 2.2-22
2012-02-06 2.2-21
2011-10-26 2.2-20
2011-10-24 2.2-19
2011-09-01 2.2-18
2011-08-02 2.2-17
2010-10-13 2.2-16
2010-05-18 2.2-14
2010-05-01 2.2-13
2010-01-11 2.2-12
2009-10-23 2.2-9.5
2008-07-28 2.1-1
2005-11-21 2.0-2

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

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

2019-08-23 0.2.2
2019-01-09 0.2.1
2019-01-06 0.2.0
2018-07-22 0.1.0

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Package rdpower updated to version 1.0 with previous version 0.5 dated 2020-04-05

Title: Power Calculations for RD Designs
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power and sample size calculations in RD designs: rdpower() calculates the power of an RD design and rdsampsi() calculates the required sample size to achieve a desired power. See Cattaneo, Titiunik and Vazquez-Bare (2019) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>

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Package rdmulti updated to version 0.6 with previous version 0.5 dated 2020-04-24

Title: Analysis of RD Designs with Multiple Cutoffs or Scores
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdmulti' package provides tools to analyze RD designs with multiple cutoffs or scores: rdmc() estimates pooled and cutoff specific effects for multi-cutoff designs, rdmcplot() draws RD plots for multi-cutoff designs and rdms() estimates effects in cumulative cutoffs or multi-score designs. See Cattaneo, Titiunik and Vazquez-Bare (2020) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2020_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>

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Package rdlocrand updated to version 0.7.1 with previous version 0.7 dated 2020-08-01

Title: Local Randomization Methods for RD Designs
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. Under the local randomization approach, RD designs can be interpreted as randomized experiments inside a window around the cutoff. This package provides tools to perform randomization inference for RD designs under local randomization: rdrandinf() to perform hypothesis testing using randomization inference, rdwinselect() to select a window around the cutoff in which randomization is likely to hold, rdsensitivity() to assess the sensitivity of the results to different window lengths and null hypotheses and rdrbounds() to construct Rosenbaum bounds for sensitivity to unobserved confounders. See Cattaneo, Titiunik and Vazquez-Bare (2016) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>

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Package MortalityTables updated to version 2.0 with previous version 1.0 dated 2018-04-03

Title: A Framework for Various Types of Mortality / Life Tables
Description: Classes to implement and plot cohort life tables for actuarial calculations. In particular, birth-year dependent mortality tables using a yearly trend to extrapolate from a base year are implemented, as well as period life table, cohort life tables using an age shift, and merged life tables.
Author: Reinhold Kainhofer [aut, cre]
Maintainer: Reinhold Kainhofer <reinhold@kainhofer.com>

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 R/fillAges.R                                                      |    1 
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 R/pensionTable.R                                                  |   67 
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Package dbparser updated to version 1.2.0 with previous version 1.1.2 dated 2020-06-08

Title: 'DrugBank' Database XML Parser
Description: This tool is for parsing the 'DrugBank' XML database <https://www.drugbank.ca/>. The parsed data are then returned in a proper 'R' dataframe with the ability to save them in a given database.
Author: Mohammed Ali [aut, cre], Ali Ezzat [aut], Hao Zhu [rev], Emma Mendelsohn [rev]
Maintainer: Mohammed Ali <moh_fcis@yahoo.com>

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 dbparser-1.2.0/dbparser/DESCRIPTION                                                                       |   17 
 dbparser-1.2.0/dbparser/MD5                                                                               |  226 
 dbparser-1.2.0/dbparser/NAMESPACE                                                                         |   54 
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 dbparser-1.2.0/dbparser/man/drug_salts.Rd                                                                 |  246 
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 dbparser-1.2.0/dbparser/man/drug_snp_adverse_reactions.Rd                                                 |  243 
 dbparser-1.2.0/dbparser/man/drug_snp_effects.Rd                                                           |  239 
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 dbparser-1.2.0/dbparser/tests/testthat/test_drug_reaction_node_parser_biotech.R                           |    4 
 dbparser-1.2.0/dbparser/tests/testthat/test_drug_reaction_node_parser_small_molecule.R                    |    4 
 dbparser-1.2.0/dbparser/vignettes/Database_Saving.Rmd                                                     |    6 
 dbparser-1.2.0/dbparser/vignettes/dbparser.Rmd                                                            |    4 
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More information about dbparser at CRAN
Permanent link

Package covid19dbcand updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-25

Title: Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format
Description: Provides different datasets parsed from 'Drugbank' <https://www.drugbank.ca/covid-19> database using 'dbparser' package. It is a smaller version from 'dbdataset' package. It contains only information about COVID-19 possible treatment.
Author: Mohammed Ali [aut, cre]
Maintainer: Mohammed Ali <moh_fcis@yahoo.com>

Diff between covid19dbcand versions 0.1.0 dated 2020-06-25 and 0.1.1 dated 2020-08-26

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Permanent link

Package compareDF updated to version 2.3.0 with previous version 2.2.0 dated 2020-06-07

Title: Do a Git Style Diff of the Rows Between Two Dataframes with Similar Structure
Description: Compares two dataframes which have the same column structure to show the rows that have changed. Also gives a git style diff format to quickly see what has changed in addition to summary statistics.
Author: Alex Joseph [aut, cre]
Maintainer: Alex Joseph <alexsanjoseph@gmail.com>

Diff between compareDF versions 2.2.0 dated 2020-06-07 and 2.3.0 dated 2020-08-26

 DESCRIPTION                         |   16 +++---
 LICENSE                             |    4 -
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More information about compareDF at CRAN
Permanent link

New package ROOPSD with initial version 0.2.5
Package: ROOPSD
Title: R Object Oriented Programming for Statistical Distribution
Date: 2020-08-25
Version: 0.2.5
Authors@R: person("Yoann", "Robin", email = "yoann.robin.k@gmail.com", role = c("aut", "cre"))
Description: Statistical distribution in OOP (Object Oriented Programming) way. This package proposes a R6 class interface to classic statistical distribution, and new distributions can be easily added with the class AbstractDist. A useful point is the generic fit() method for each class, which uses a maximum likelihood estimation to find the parameters of a dataset, see, e.g. Hastie, T. and al (2009) <isbn:978-0-387-84857-0>. Furthermore, the rv_histogram class gives a non-parametric fit, with the same accessors that for the classic distribution. Finally, three random generators useful to build synthetic data are given: a multivariate normal generator, an orthogonal matrix generator, and a symmetric positive definite matrix generator, see Mezzadri, F. (2007) <arXiv:math-ph/0609050>.
URL: https://github.com/yrobink/ROOPSD
Depends: R (>= 3.3)
License: CeCILL-2
Encoding: UTF-8
LazyData: true
Imports: methods, R6, Lmoments
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-08-25 08:53:13 UTC; yrobin
Author: Yoann Robin [aut, cre]
Maintainer: Yoann Robin <yoann.robin.k@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-26 11:10:03 UTC

More information about ROOPSD at CRAN
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New package MGMM with initial version 0.3.1
Package: MGMM
Title: Missingness Aware Gaussian Mixture Models
Date: 2020-08-24
Version: 0.3.1
Authors@R: person(given = "Zachary", family = "McCaw", role = c("aut", "cre"), email = "zmccaw@alumni.harvard.edu", comment = c(ORCID = "0000-0002-2006-9828"))
Description: Parameter estimation and classification for Gaussian Mixture Models (GMMs) in the presence of missing data. This package uses an expectation conditional maximization algorithm to obtain maximum likelihood estimates for all model parameters and maximum a posteriori classifications of the input vectors. For additional details, please see McCaw ZR, Julienne H, Aschard H. "MGMM: an R package for fitting Gaussian Mixture Models on Incomplete Data." <doi:10.1101/2019.12.20.884551>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: cluster, methods, mvnfast, plyr, Rcpp (>= 1.0.3), stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-08-25 13:36:53 UTC; zmccaw
Author: Zachary McCaw [aut, cre] (<https://orcid.org/0000-0002-2006-9828>)
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>
Repository: CRAN
Date/Publication: 2020-08-26 11:50:02 UTC

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Package ipaddress updated to version 0.5.0 with previous version 0.4.0 dated 2020-08-06

Title: Tidy IP Addresses
Description: Classes and functions for working with IP (Internet Protocol) addresses and networks, inspired by the Python 'ipaddress' module. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces. It is specifically designed to work well with the 'tidyverse'.
Author: David Hall [aut, cre] (<https://orcid.org/0000-0002-2193-0480>)
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between ipaddress versions 0.4.0 dated 2020-08-06 and 0.5.0 dated 2020-08-26

 ipaddress-0.4.0/ipaddress/R/hostname.R                                  |only
 ipaddress-0.4.0/ipaddress/R/vctrs-arithmetic.R                          |only
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 ipaddress-0.4.0/ipaddress/src/IpAddressVector.h                         |only
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 ipaddress-0.5.0/ipaddress/DESCRIPTION                                   |   12 
 ipaddress-0.5.0/ipaddress/MD5                                           |  160 +--
 ipaddress-0.5.0/ipaddress/NAMESPACE                                     |   10 
 ipaddress-0.5.0/ipaddress/NEWS.md                                       |   66 -
 ipaddress-0.5.0/ipaddress/R/RcppExports.R                               |  188 ++-
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 ipaddress-0.5.0/ipaddress/R/common_network.R                            |    4 
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 ipaddress-0.5.0/ipaddress/R/ip_address.R                                |   27 
 ipaddress-0.5.0/ipaddress/R/ip_interface.R                              |   23 
 ipaddress-0.5.0/ipaddress/R/ip_network.R                                |   20 
 ipaddress-0.5.0/ipaddress/R/ip_version.R                                |    8 
 ipaddress-0.5.0/ipaddress/R/ipv6_transition.R                           |   14 
 ipaddress-0.5.0/ipaddress/R/network_mask.R                              |   12 
 ipaddress-0.5.0/ipaddress/R/network_size.R                              |    8 
 ipaddress-0.5.0/ipaddress/R/operators.R                                 |only
 ipaddress-0.5.0/ipaddress/R/other_repr.R                                |  156 ++-
 ipaddress-0.5.0/ipaddress/R/reserved.R                                  |  100 +
 ipaddress-0.5.0/ipaddress/R/sample.R                                    |   12 
 ipaddress-0.5.0/ipaddress/R/sequence.R                                  |    6 
 ipaddress-0.5.0/ipaddress/R/summarize_address_range.R                   |    4 
 ipaddress-0.5.0/ipaddress/R/test-helpers.R                              |only
 ipaddress-0.5.0/ipaddress/R/traverse_hierarchy.R                        |   26 
 ipaddress-0.5.0/ipaddress/R/within_network.R                            |   20 
 ipaddress-0.5.0/ipaddress/README.md                                     |   26 
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 ipaddress-0.5.0/ipaddress/man/ip_to_hostname.Rd                         |    7 
 ipaddress-0.5.0/ipaddress/man/ip_to_integer.Rd                          |   10 
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 ipaddress-0.5.0/ipaddress/man/ipaddress-vctrs.Rd                        |    2 
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 ipaddress-0.5.0/ipaddress/src/Makevars                                  |    1 
 ipaddress-0.5.0/ipaddress/src/Makevars.win                              |    2 
 ipaddress-0.5.0/ipaddress/src/RcppExports.cpp                           |  518 +++++-----
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 ipaddress-0.5.0/ipaddress/src/sample.h                                  |    6 
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 ipaddress-0.5.0/ipaddress/tests/testthat/test-common_network.R          |   15 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ip_address_v4.R           |    5 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ip_address_v6.R           |    4 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ip_interface.R            |   41 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ip_network_v4.R           |   41 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ip_network_v6.R           |   25 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ip_version.R              |    6 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-ipv6_transition.R         |   72 -
 ipaddress-0.5.0/ipaddress/tests/testthat/test-network_mask.R            |   38 
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 ipaddress-0.5.0/ipaddress/tests/testthat/test-operators.R               |only
 ipaddress-0.5.0/ipaddress/tests/testthat/test-other_repr.R              |  132 ++
 ipaddress-0.5.0/ipaddress/tests/testthat/test-reserved.R                |  173 +--
 ipaddress-0.5.0/ipaddress/tests/testthat/test-sample.R                  |   23 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-sequence.R                |   10 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-summarize_address_range.R |   15 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-traverse_hierarchy.R      |   44 
 ipaddress-0.5.0/ipaddress/tests/testthat/test-within_network.R          |   28 
 ipaddress-0.5.0/ipaddress/vignettes/ipaddress-classes.Rmd               |    4 
 ipaddress-0.5.0/ipaddress/vignettes/ipaddress-examples.Rmd              |   41 
 96 files changed, 1528 insertions(+), 865 deletions(-)

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New package geofabrik with initial version 0.1.0
Package: geofabrik
Type: Package
Title: Downloading Open Street Map Data
Version: 0.1.0
Date: 2020-08-09
Authors@R: c( person(given = "Sergio", family = "Ibarra-Espinosa", role = c("aut", "cre", "wdc"), email = "sergio.ibarra@usp.br", comment = c(ORCID = "0000-0002-3162-1905")))
Description: Download 'OpenStreetMap' data from 'geofabrik' servers <https://download.geofabrik.de/>. This approach uses only the direct link downloads. Besides, this package does not import any external package.
License: MIT + file LICENSE
URL: https://ibarraespinosa.github.io/geofabrik/
BugReports: https://github.com/ibarraespinosa/geofabrik/issues
LazyData: true
Encoding: UTF-8
Packaged: 2020-08-20 13:25:02 UTC; sergio
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
NeedsCompilation: no
Author: Sergio Ibarra-Espinosa [aut, cre, wdc] (<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>
Repository: CRAN
Date/Publication: 2020-08-26 11:40:02 UTC

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New package DIscBIO with initial version 1.0.0
Package: DIscBIO
Date: 2020-07-30
Title: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Version: 1.0.0
Authors@R: c( person( given = "Salim", family = "Ghannoum", role = c("aut", "cph"), email = "salim.ghannoum@medisin.uio.no" ), person( given = "Alvaro", family = "Köhn-Luque", role = c("aut", "ths"), email = "alvaro.kohn-luque@medisin.uio.no" ), person( given = "Waldir", family = "Leoncio", role = c("cre", "aut"), email = "w.l.netto@medisin.uio.no" ), person( given = "Damiano", family = "Fantini", role = c("ctb") ) )
Description: An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods, TSCAN, boot, httr, mclust, statmod, igraph, RWeka, philentropy, NetIndices, png, grDevices, readr, RColorBrewer, ggplot2, rpart, fpc, cluster, rpart.plot, tsne, AnnotationDbi, org.Hs.eg.db, graphics, stats, utils, impute
Depends: R (>= 4.0), SingleCellExperiment
Suggests: testthat, Seurat
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/ocbe-uio/DIscBIO#usage
BugReports: https://github.com/ocbe-uio/DIscBIO/issues
Collate: 'DIscBIO-classes.R' 'DIscBIO-generic-ClassVectoringDT.R' 'DIscBIO-generic-ClustDiffGenes.R' 'DIscBIO-generic-Clustexp.R' 'DIscBIO-generic-DEGanalysis.R' 'DIscBIO-generic-DEGanalysis2clust.R' 'DIscBIO-generic-Exprmclust.R' 'DIscBIO-generic-FinalPreprocessing.R' 'DIscBIO-generic-FindOutliers.R' 'DIscBIO-generic-NoiseFiltering.R' 'DIscBIO-generic-Normalizedata.R' 'DIscBIO-generic-PCAplotSymbols.R' 'DIscBIO-generic-PlotmclustMB.R' 'DIscBIO-generic-clusteringOrder.R' 'DIscBIO-generic-clustheatmap.R' 'DIscBIO-generic-comptSNE.R' 'DIscBIO-generic-plotExptSNE.R' 'DIscBIO-generic-plotGap.R' 'DIscBIO-generic-plotLabelstSNE.R' 'DIscBIO-generic-plotOrderTsne.R' 'DIscBIO-generic-plotSilhouette.R' 'DIscBIO-generic-plotSymbolstSNE.R' 'DIscBIO-generic-plottSNE.R' 'DIscBIO-generic-pseudoTimeOrdering.R' 'J48DT.R' 'J48DTeval.R' 'Jaccard.R' 'NetAnalysis.R' 'Networking.R' 'PPI.R' 'PlotMBpca.R' 'RpartDT.R' 'RpartEVAL.R' 'VolcanoPlot.R' 'customConverters.R' 'datasets.R' 'internal-functions.R' 'prepExampleDataset.R' 'reformatSiggenes.R' 'replaceDecimals.R' 'samr-adapted.R'
NeedsCompilation: no
Packaged: 2020-08-25 08:46:40 UTC; waldir
Author: Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>
Repository: CRAN
Date/Publication: 2020-08-26 11:30:08 UTC

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Package nprobust updated to version 0.4.0 with previous version 0.3.0 dated 2020-04-02

Title: Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation
Description: Tools for data-driven statistical analysis using local polynomial regression and kernel density estimation methods as described in Calonico, Cattaneo and Farrell (2018, <doi:10.1080/01621459.2017.1285776>): lprobust() for local polynomial point estimation and robust bias-corrected inference, lpbwselect() for local polynomial bandwidth selection, kdrobust() for kernel density point estimation and robust bias-corrected inference, kdbwselect() for kernel density bandwidth selection, and nprobust.plot() for plotting results. The main methodological and numerical features of this package are described in Calonico, Cattaneo and Farrell (2019, <doi:10.18637/jss.v091.i08>).
Author: Sebastian Calonico <sebastian.calonico@columbia.edu>, Matias D. Cattaneo <cattaneo@princeton.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>
Maintainer: Sebastian Calonico <sebastian.calonico@columbia.edu>

Diff between nprobust versions 0.3.0 dated 2020-04-02 and 0.4.0 dated 2020-08-26

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 man/nprobust.plot.Rd    |    4 ++--
 9 files changed, 42 insertions(+), 42 deletions(-)

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Package visvow updated to version 1.0.0 with previous version 0.9.0 dated 2020-05-12

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 0.9.0 dated 2020-05-12 and 1.0.0 dated 2020-08-26

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 5 files changed, 285 insertions(+), 79 deletions(-)

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Package surbayes updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-15

Title: Bayesian Analysis of Seemingly Unrelated Regression Models
Description: Implementation of the direct Monte Carlo approach of Zellner and Ando (2010) <doi:10.1016/j.jeconom.2010.04.005> to sample from posterior of Seemingly Unrelated Regression (SUR) models. In addition, a Gibbs sampler is implemented that allows the user to analyze SUR models using the power prior.
Author: Ethan Alt
Maintainer: Ethan Alt <ethanalt@live.unc.edu>

Diff between surbayes versions 0.1.1 dated 2020-05-15 and 0.1.2 dated 2020-08-26

 DESCRIPTION               |    8 ++++----
 MD5                       |   10 +++++-----
 NEWS.md                   |    4 ++--
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 R/sur_sample_powerprior.R |   11 ++++-------
 src/Makevars              |    1 -
 6 files changed, 19 insertions(+), 25 deletions(-)

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Package poismf updated to version 0.2.4 with previous version 0.2.3 dated 2020-08-10

Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description: Creates a low-rank factorization of a sparse counts matrix by maximizing Poisson likelihood with l1/l2 regularization with all non-negative latent factors (e.g. for recommender systems or topic modeling) (Cortes, (2018) <arXiv:1811.01908>). Similar to hierarchical Poisson factorization, but follows an optimization-based approach with regularization instead of a hierarchical structure, and is fit through gradient-based methods instead of variational inference.
Author: David Cortes [aut, cre, cph], Jean-Sebastien Roy [cph], Stephen Nash [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between poismf versions 0.2.3 dated 2020-08-10 and 0.2.4 dated 2020-08-26

 DESCRIPTION          |    8 ++++----
 MD5                  |    8 ++++----
 R/poismf.R           |    2 +-
 man/poismf_unsafe.Rd |    2 +-
 src/Makevars         |    2 +-
 5 files changed, 11 insertions(+), 11 deletions(-)

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New package mixedCCA with initial version 1.3.0
Package: mixedCCA
Type: Package
Title: Sparse Canonical Correlation Analysis for High-Dimensional Mixed Data
Version: 1.3.0
Date: 2020-08-20
Authors@R: c( person(given = "Grace", family = "Yoon", role = c("aut", "cre"), email = "gyoon@stat.tamu.edu", comment = c(ORCID = "0000-0003-3263-1352")), person(given = "Irina", family = "Gaynanova", role = c("aut"), email = "irinag@stat.tamu.edu", comment = c(ORCID = "0000-0002-4116-0268")))
Description: Semi-parametric approach for sparse canonical correlation analysis which can handle mixed data types: continuous, binary and truncated continuous. Bridge functions are provided to connect Kendall's tau to latent correlation under the Gaussian copula model. The methods are described in Yoon, Carroll and Gaynanova (2020) <doi:10.1093/biomet/asaa007>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.1), stats, MASS
Imports: Rcpp, pcaPP, Matrix, fMultivar, mnormt, irlba, chebpol
NeedsCompilation: yes
RoxygenNote: 7.1.0
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
Packaged: 2020-08-20 21:02:04 UTC; grace
Author: Grace Yoon [aut, cre] (<https://orcid.org/0000-0003-3263-1352>), Irina Gaynanova [aut] (<https://orcid.org/0000-0002-4116-0268>)
Maintainer: Grace Yoon <gyoon@stat.tamu.edu>
Repository: CRAN
Date/Publication: 2020-08-26 09:20:03 UTC

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New package kantorovich with initial version 2.0.1
Package: kantorovich
Type: Package
Title: Kantorovich Distance Between Probability Measures
Version: 2.0.1
Date: 2020-08-25
Author: Stéphane Laurent
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Description: Computes the Kantorovich distance between two probability measures on a finite set. The Kantorovich distance is also known as the Monge-Kantorovich distance or the first Wasserstein distance.
License: GPL-2
LazyData: TRUE
Suggests: testthat, knitr, rmarkdown
Imports: rcdd, gmp, methods, lpSolve, Rglpk
Depends: R (>= 2.5.3)
SystemRequirements: GMP (https://gmplib.org/)
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/stla/kantorovich
BugReports: https://github.com/stla/kantorovich/issues
NeedsCompilation: no
Packaged: 2020-08-25 08:14:08 UTC; stla
Repository: CRAN
Date/Publication: 2020-08-26 10:00:03 UTC

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New package epigraphdb with initial version 0.2.1
Package: epigraphdb
Title: Interface Package for the 'EpiGraphDB' Platform
Version: 0.2.1
Authors@R: c( person("Yi", "Liu", email = "yi6240.liu@bristol.ac.uk", role = c("cre", "aut") ), person("Valeriia", "Haberland", email = "valeriia.haberland@bristol.ac.uk", role = c("aut") ), person("Marina", "Vabistsevits", email = "ny19205@bristol.ac.uk", role = c("aut") ), person("Tom", "Gaunt", email = "Tom.Gaunt@bristol.ac.uk", role = c("aut") ), person(given = "MRC IEU", role = c("cph")) )
Description: The interface package to access data from the 'EpiGraphDB' <https://epigraphdb.org> platform. It provides easy access to the 'EpiGraphDB' platform with functions that query the corresponding REST endpoints on the API <https://api.epigraphdb.org> and return the response data in the 'tibble' data frame format.
URL: https://mrcieu.github.io/epigraphdb-r/
BugReports: https://github.com/MRCIEU/epigraphdb-r/issues
License: GPL-3
Suggests: testthat, roxygen2, knitr, rmarkdown, spelling, devtools, usethis, pkgdown, styler, lintr, covr, igraph, gtools, stringr, dplyr, ggplot2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: magrittr, tibble, httr, glue, purrr, jsonlite
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2020-08-24 18:39:39 UTC; yiliu
Author: Yi Liu [cre, aut], Valeriia Haberland [aut], Marina Vabistsevits [aut], Tom Gaunt [aut], MRC IEU [cph]
Maintainer: Yi Liu <yi6240.liu@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2020-08-26 09:20:09 UTC

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New package ebmstate with initial version 0.1.1
Package: ebmstate
Type: Package
Title: Empirical Bayes Multi-State Cox Model
Version: 0.1.1
Date: 2020-08-21 21:34:01 GMT
Authors@R: c(person(given = "Rui", family = "Costa", role = c("aut", "cre"), email = "rui.costa@ebi.ac.uk"), person(given = "Moritz", family = "Gerstung", role = "aut"), person(given = c("Terry", "M"), family = "Therneau", role = "ctb",comment="author of 'survival', a package from which code parts were copied"), person(given = "Thomas", family = "Lumley", role = "ctb",comment="contributor to 'survival', a package from which code parts were copied"), person(given = "Hein", family = "Putter", role = "ctb",comment="co-author of 'mstate', a package from which code parts were copied"), person(given = "Liesbeth", family = "de Wreede", role = "ctb",comment="co-author of 'mstate', a package from which code parts were copied"), person(given = "Marta", family = "Fiocco", role = "ctb",comment="co-author of 'mstate', a package from which code parts were copied"), person(given = "Ronald", family = "Geskus", role = "ctb",comment="contributor to 'mstate', a package from which code parts were copied"))
Description: Implements an empirical Bayes, multi-state Cox model for survival analysis. Run "?'ebmstate-package'" for details. See also Schall (1991) <doi:10.1093/biomet/78.4.719>.
Depends: R (>= 3.6.0), survival (>= 2.44-1.1), mstate (>= 0.2.11)
Imports: Rcpp, HDInterval, stats, utils, methods
License: GPL (>= 3)
LinkingTo: Rcpp
RoxygenNote: 7.1.1
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2020-08-24 16:22:19 UTC; ruibarrigana
Author: Rui Costa [aut, cre], Moritz Gerstung [aut], Terry M Therneau [ctb] (author of 'survival', a package from which code parts were copied), Thomas Lumley [ctb] (contributor to 'survival', a package from which code parts were copied), Hein Putter [ctb] (co-author of 'mstate', a package from which code parts were copied), Liesbeth de Wreede [ctb] (co-author of 'mstate', a package from which code parts were copied), Marta Fiocco [ctb] (co-author of 'mstate', a package from which code parts were copied), Ronald Geskus [ctb] (contributor to 'mstate', a package from which code parts were copied)
Maintainer: Rui Costa <rui.costa@ebi.ac.uk>
Repository: CRAN
Date/Publication: 2020-08-26 09:10:12 UTC

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Permanent link

Package DAISIE updated to version 3.0.1 with previous version 3.0.0 dated 2020-08-14

Title: Dynamical Assembly of Islands by Speciation, Immigration and Extinction
Description: Simulates and computes the (maximum) likelihood of a dynamical model of island biota assembly through speciation, immigration and extinction. See e.g. Valente et al. 2015. Ecology Letters 18: 844-852, <DOI:10.1111/ele.12461>.
Author: Rampal S. Etienne [aut, cre] (<https://orcid.org/0000-0003-2142-7612>), Luis Valente [aut] (<https://orcid.org/0000-0003-4247-8785>), Albert B. Phillimore [aut] (<https://orcid.org/0000-0002-6553-1553>), Bart Haegeman [aut] (<https://orcid.org/0000-0003-2325-4727>), Joshua W. Lambert [aut], Pedro Neves [aut] (<https://orcid.org/0000-0003-2561-4677>), Shu Xie [aut], Richèl J.C. Bilderbeek [aut] (<https://orcid.org/0000-0003-1107-7049>), Torsten Hauffe [ctb] (<https://orcid.org/0000-0001-5711-9457>), Giovanni Laudanno [ctb], Nadiah Kristensen [ctb], Raphael Scherrer [ctb]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

Diff between DAISIE versions 3.0.0 dated 2020-08-14 and 3.0.1 dated 2020-08-26

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New package sams with initial version 0.4.0
Package: sams
Type: Package
Title: Merge-Split Samplers for Conjugate Bayesian Nonparametric Models
Version: 0.4.0
Authors@R: c(person(given = "Spencer", family = "Newcomb", email = "spencenewcomb08@gmail.com", role = c("aut")), person(given = "David B.", family = "Dahl", email = "dahl@stat.byu.edu", role = c("ctb","cre")))
Description: Markov chain Monte Carlo samplers for posterior simulations of conjugate Bayesian nonparametric mixture models. Functionality is provided for Gibbs sampling as in Algorithm 3 of Neal (2000) <DOI:10.1080/10618600.2000.10474879>, restricted Gibbs merge-split sampling as described in Jain & Neal (2004) <DOI:10.1198/1061860043001>, and sequentially-allocated merge-split sampling, as well as summary and utility functions.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: graphics, stats
NeedsCompilation: no
Packaged: 2020-08-20 15:27:12 UTC; dahl
Author: Spencer Newcomb [aut], David B. Dahl [ctb, cre]
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2020-08-26 09:00:03 UTC

More information about sams at CRAN
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Package LDcorSV updated to version 1.3.3 with previous version 1.3.2 dated 2017-05-04

Title: Linkage Disequilibrium Corrected by the Structure and the Relatedness
Description: Four measures of linkage disequilibrium are provided: the usual r^2 measure, the r^2_S measure (r^2 corrected by the structure sample), the r^2_V (r^2 corrected by the relatedness of genotyped individuals), the r^2_VS measure (r^2 corrected by both the relatedness of genotyped individuals and the structure of the sample).
Author: David Desrousseaux, Florian Sandron, Aurélie Siberchicot, Christine Cierco-Ayrolles and Brigitte Mangin
Maintainer: Aurélie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between LDcorSV versions 1.3.2 dated 2017-05-04 and 1.3.3 dated 2020-08-26

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New package corrarray with initial version 1.2.0
Package: corrarray
Type: Package
Title: Correlation Arrays and 2-Sample Correlation Matrices
Version: 1.2.0
Author: Rohan Reddy Tummala
Maintainer: Rohan Reddy Tummala <rohantummala@gmail.com>
Description: The goal of 'corrarray' is to create a multi-sample correlation array by combining the correlation matrices of a data set stratified by a grouping variable. For two specified levels of the variable, 'corrarray' displays one level's correlation matrix in the lower triangular matrix and the other level's correlation matrix in the upper triangular matrix. Such an output can enable visualization of correlations from two samples in a single correlation matrix or corrgram.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: stats, Hmisc
URL: https://github.com/Medicine1/corrarray
BugReports: https://github.com/Medicine1/corrarray/issues
NeedsCompilation: no
Packaged: 2020-08-19 23:43:08 UTC; Rohan
Repository: CRAN
Date/Publication: 2020-08-26 08:30:03 UTC

More information about corrarray at CRAN
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Package covid19us (with last version 0.1.6) was removed from CRAN

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

2020-05-20 0.1.6

Permanent link
Package startR updated to version 2.0.1 with previous version 2.0.0 dated 2020-08-16

Title: Automatically Retrieve Multidimensional Distributed Data Sets
Description: Tool to automatically fetch, transform and arrange subsets of multi- dimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. The tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved.
Author: BSC-CNS [aut, cph], Nicolau Manubens [aut], An-Chi Ho [ctb, cre], Nuria Perez-Zanon [ctb] (<https://orcid.org/0000-0001-8568-3071>), Javier Vegas [ctb], Pierre-Antoine Bretonniere [ctb], Roberto Serrano [ctb]
Maintainer: An-Chi Ho <an.ho@bsc.es>

Diff between startR versions 2.0.0 dated 2020-08-16 and 2.0.1 dated 2020-08-26

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Package SCtools updated to version 0.3.1 with previous version 0.3.0 dated 2019-12-12

Title: Extensions for Synthetic Controls Analysis
Description: Extensions to the synthetic controls analyses performed by the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011) <doi: 10.18637/jss.v042.i13>. Includes generating and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots, and calculating average treatment effects for multiple treated units. This package represents an implementation of those methods suggested in Abadie, Diamond,and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746> for use in Synthetic Control Analysis.
Author: Bruno Castanho Silva [aut, cre] (<https://orcid.org/0000-0001-9363-4704>), Michael DeWitt [aut] (<https://orcid.org/0000-0001-8940-1967>)
Maintainer: Bruno Castanho Silva <bcsilva@wiso.uni-koeln.de>

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Package GCalignR updated to version 1.0.3 with previous version 1.0.2 dated 2018-07-16

Title: Simple Peak Alignment for Gas-Chromatography Data
Description: Aligns peak based on peak retention times and matches homologous peaks across samples. The underlying alignment procedure comprises three sequential steps. (1) Full alignment of samples by linear transformation of retention times to maximise similarity among homologous peaks (2) Partial alignment of peaks within a user-defined retention time window to cluster homologous peaks (3) Merging rows that are likely representing homologous substances (i.e. no sample shows peaks in both rows and the rows have similar retention time means). The algorithm is described in detail in Ottensmann et al., 2018 <doi:10.1371/journal.pone.0198311>.
Author: Meinolf Ottensmann [aut, cre] (<https://orcid.org/0000-0003-3112-6928>), Martin Stoffel [aut], Hazel J. Nichols [aut], Joseph I. Hoffman [aut]
Maintainer: Meinolf Ottensmann <meinolf.ottensmann@web.de>

Diff between GCalignR versions 1.0.2 dated 2018-07-16 and 1.0.3 dated 2020-08-26

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Package epidata updated to version 0.4.0 with previous version 0.3.0 dated 2019-04-11

Title: Tools to Retrieve Economic Policy Institute Data Library Extracts
Description: The Economic Policy Institute (<https://www.epi.org/>) provides researchers, media, and the public with easily accessible, up-to-date, and comprehensive historical data on the American labor force. It is compiled from Economic Policy Institute analysis of government data sources. Use it to research wages, inequality, and other economic indicators over time and among demographic groups. Data is usually updated monthly.
Author: Bob Rudis [aut, cre]
Maintainer: Bob Rudis <bob@rud.is>

Diff between epidata versions 0.3.0 dated 2019-04-11 and 0.4.0 dated 2020-08-26

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Package datasailr updated to version 0.8.6 with previous version 0.8.5 dated 2020-07-06

Title: Row by Row Data Processing Tool, Using 'Sailr' Script
Description: A row by row data processing tool. You can write data processing code in 'Sailr' scripting language which is specially intended for data manipulation. The package uses 'libsailr' (C/C++ library) for its 'Sailr' code parsing and its execution.
Author: Toshihiro Umehara [aut, cre], Troy Hanson [cph, ctb] (uthash), Howard Hinnant [cph, ctb] (date.h), Adrian Colomitchi [cph, ctb] (date.h), Florian Dang [cph, ctb] (date.h), Paul Thompson [cph, ctb] (date.h), Tomasz Kamiński [cph, ctb] (date.h), Nemanja Trifunovic [cph, ctb] (utfcpp), Kim Grasman [cph, ctb] (getopt_port), Jon Clayden [cph, ctb] (ore package), K.Kosako [cph, ctb] (onigmo author), K.Takata [cph, ctb] (onigmo author), Byte [cph, ctb] (onigmo contributor), KUBO Takehiro [cph, ctb] (onigmo contributor), Free Software Foundation, Inc [cph], X Consortium [cph]
Maintainer: Toshihiro Umehara <toshi@niceume.com>

Diff between datasailr versions 0.8.5 dated 2020-07-06 and 0.8.6 dated 2020-08-26

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Package stuart updated to version 0.9.1 with previous version 0.9.0 dated 2020-05-11

Title: Subtests Using Algorithmic Rummaging Techniques
Description: Construct subtests from a pool of items by using ant-colony-optimization, genetic algorithms, brute force, or random sampling. Schultze (2017) <doi:10.17169/refubium-622>.
Author: Martin Schultze [aut, cre], Johanna Schüller [ctb]
Maintainer: Martin Schultze <schultze@psych.uni-frankfurt.de>

Diff between stuart versions 0.9.0 dated 2020-05-11 and 0.9.1 dated 2020-08-26

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Package refund.shiny (with last version 0.3.0) was removed from CRAN

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2016-02-01 0.2.0
2015-09-12 0.1

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Package BiasCorrector (with last version 0.1.1) was removed from CRAN

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2020-08-24 0.1.1

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Package sparseFLMM (with last version 0.3.0) was removed from CRAN

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2019-10-02 0.3.0
2018-04-01 0.2.2
2017-09-23 0.2.0
2017-06-08 0.1.1
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Package reinforcedPred (with last version 0.1.1) was removed from CRAN

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2018-10-31 0.1.1
2018-10-26 0.1.0

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2020-05-18 2.4

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2018-10-04 0.8.2
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2017-09-25 0.7.4
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2015-08-29 0.5.8
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2019-10-21 0.2.3
2019-10-15 0.2.2
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2020-08-04 0.2.1

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2020-08-24 1.1.1
2019-08-05 1.1.0
2019-01-30 1.0.0

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Package robmixglm updated to version 1.2-0 with previous version 1.1-1 dated 2020-08-13

Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken.beath@mq.edu.au>

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Package EBPRS updated to version 2.1.0 with previous version 2.0.4 dated 2020-07-10

Title: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description: EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2. See Song et al. (2020) <doi:10.1371/journal.pcbi.1007565> for a detailed presentation of the method.
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <song-s19@mails.tsinghua.edu.cn>

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Package buildmer updated to version 1.7.1 with previous version 1.6 dated 2020-05-27

Title: Stepwise Elimination and Term Reordering for Mixed-Effects Regression
Description: Finds the largest possible regression model that will still converge for various types of regression analyses (including mixed models and generalized additive models) and then optionally performs stepwise elimination similar to the forward and backward effect-selection methods in SAS, based on the change in log-likelihood or its significance, Akaike's Information Criterion, the Bayesian Information Criterion, the explained deviance, or the F-test of the change in R².
Author: Cesko C. Voeten [aut, cre] (<https://orcid.org/0000-0003-4687-9973>)
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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