Thu, 03 Nov 2022

Package yaImpute updated to version 1.0-33 with previous version 1.0-32 dated 2020-02-17

Title: Nearest Neighbor Observation Imputation and Evaluation Tools
Description: Performs nearest neighbor-based imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation: analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Author: Jeffrey S. Evans [aut, cre] , Nicholas L. Crookston [aut], Andrew O. Finley [aut], John Coulston [ctb, com]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

Diff between yaImpute versions 1.0-32 dated 2020-02-17 and 1.0-33 dated 2022-11-03

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Package V8 updated to version 4.2.2 with previous version 4.2.1 dated 2022-08-07

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between V8 versions 4.2.1 dated 2022-08-07 and 4.2.2 dated 2022-11-03

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More information about V8 at CRAN
Permanent link

Package sbtools updated to version 1.1.21 with previous version 1.1.20 dated 2022-10-28

Title: USGS ScienceBase Tools
Description: Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.
Author: David Blodgett [cre], Luke Winslow [aut], Scott Chamberlain [ctb], Alison Appling [ctb], Jordan Read [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between sbtools versions 1.1.20 dated 2022-10-28 and 1.1.21 dated 2022-11-03

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Package NNS updated to version 0.9.3 with previous version 0.9.2.1 dated 2022-09-29

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 0.9.2.1 dated 2022-09-29 and 0.9.3 dated 2022-11-03

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More information about NNS at CRAN
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Package nestedmodels updated to version 1.0.2 with previous version 1.0.1 dated 2022-10-10

Title: Tidy Modelling for Nested Data
Description: A modelling framework for nested data using the 'tidymodels' ecosystem. Specify how to nest data using the 'recipes' package, create testing and training splits using 'rsample', and fit models to this data using the 'parsnip' and 'workflows' packages. Allows any model to be fit to nested data.
Author: Ashby Thorpe [aut, cre] , Hadley Wickham [ctb]
Maintainer: Ashby Thorpe <ashbythorpe@gmail.com>

Diff between nestedmodels versions 1.0.1 dated 2022-10-10 and 1.0.2 dated 2022-11-03

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Package Matching updated to version 4.10-8 with previous version 4.10-4 dated 2022-10-29

Title: Multivariate and Propensity Score Matching with Balance Optimization
Description: Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided. For details, see the paper by Jasjeet Sekhon (2007, <doi:10.18637/jss.v042.i07>).
Author: Jasjeet Singh Sekhon [aut, cre], Theo Saarinen [aut]
Maintainer: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>

Diff between Matching versions 4.10-4 dated 2022-10-29 and 4.10-8 dated 2022-11-03

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Package growthcleanr updated to version 2.0.3 with previous version 2.0.2 dated 2022-09-13

Title: Data Cleaner for Anthropometric Measurements
Description: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
Author: Daymont Carrie [ctb, cre], Grundmeier Robert [aut], Miller Jeffrey [aut], Campos Diego [aut], Chudnov Dan [ctb], De los Santos Hannah [ctb], Cao Lusha [ctb], Silva Steffani [ctb], Zhang Hanzhe [ctb], Boyas Matt [ctb], Freedman David [ctb], Achilleos [...truncated...]
Maintainer: Daymont Carrie <cdaymont@pennstatehealth.psu.edu>

Diff between growthcleanr versions 2.0.2 dated 2022-09-13 and 2.0.3 dated 2022-11-03

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More information about growthcleanr at CRAN
Permanent link

Package ggmap updated to version 3.0.1 with previous version 3.0.0 dated 2019-02-04

Title: Spatial Visualization with ggplot2
Description: A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing.
Author: David Kahle [aut, cre] , Hadley Wickham [aut] , Scott Jackson [aut], Mikko Korpela [ctb]
Maintainer: David Kahle <david@kahle.io>

Diff between ggmap versions 3.0.0 dated 2019-02-04 and 3.0.1 dated 2022-11-03

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Package changepoint updated to version 2.2.4 with previous version 2.2.3 dated 2022-03-14

Title: Methods for Changepoint Detection
Description: Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included. The cpt.mean(), cpt.var(), cpt.meanvar() functions should be your first point of call.
Author: Rebecca Killick [aut, cre], Kaylea Haynes [aut], Idris Eckley [ths], Paul Fearnhead [ctb, ths], Robin Long [ctb], Jamie Lee [ctr]
Maintainer: Rebecca Killick <r.killick@lancs.ac.uk>

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Package mombf updated to version 3.2.0 with previous version 3.1.4 dated 2022-08-19

Title: Bayesian Model Selection and Averaging for Non-Local and Local Priors
Description: Bayesian model selection and averaging for regression and mixtures for non-local and selected local priors.
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril, Miquel Torrens
Maintainer: David Rossell <rosselldavid@gmail.com>

Diff between mombf versions 3.1.4 dated 2022-08-19 and 3.2.0 dated 2022-11-03

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New package eco with initial version 4.0-3
Package: eco
Version: 4.0-3
Date: 2022-11-01
Title: Ecological Inference in 2x2 Tables
Maintainer: Ying Lu <ying.lu@nyu.edu>
Depends: R (>= 2.0), MASS, utils
Suggests: testthat
Description: Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 <DOI: 10.1093/pan/mpm017>) and (2011 <DOI:10.18637/jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.
LazyLoad: yes
LazyData: yes
License: GPL (>= 2)
URL: https://github.com/kosukeimai/eco
BugReports: https://github.com/kosukeimai/eco/issues
NeedsCompilation: yes
Packaged: 2022-11-03 01:20:39 UTC; kosukeimai
Author: Kosuke Imai [aut], Ying Lu [aut, cre], Aaron Strauss [aut], Hubert Jin [ctb]
Repository: CRAN
Date/Publication: 2022-11-03 22:00:02 UTC

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Package svgViewR updated to version 1.4.2 with previous version 1.4.1 dated 2020-10-03

Title: 3D Animated Interactive Visualizations Using SVG and WebGL
Description: Creates 3D animated, interactive visualizations that can be viewed in a web browser.
Author: Aaron M Olsen, Alejandro J Romero
Maintainer: Aaron M Olsen <aarolsen@gmail.com>

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Package rebus.datetimes updated to version 0.0-2 with previous version 0.0-1 dated 2015-12-16

Title: Date and Time Extensions for the 'rebus' Package
Description: Build regular expressions piece by piece using human readable code. This package contains date and time functionality, and is primarily intended to be used by package developers.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

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Package PsychWordVec updated to version 0.1.2 with previous version 0.1.0 dated 2022-08-22

Title: Word Embedding Research Framework for Psychological Science
Description: An integrated toolbox of word embedding research that provides: (1) a collection of 'pre-trained' word vectors in the '.RData' compressed format <https://psychbruce.github.io/WordVector_RData.pdf>; (2) a variety of functions to process, analyze, and visualize word vectors; (3) a range of tests to examine conceptual associations, including the Word Embedding Association Test <doi:10.1126/science.aal4230> and the Relative Norm Distance <doi:10.1073/pnas.1720347115>, with permutation test of significance; (4) a set of training methods to locally train word vectors from text corpora, including 'Word2Vec' <arXiv:1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>.
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>

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Package nprcgenekeepr (with last version 1.0.5) was removed from CRAN

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

2021-03-31 1.0.5
2020-06-02 1.0.3

Permanent link
Package pedigreeTools (with last version 0.1) was removed from CRAN

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

2018-12-09 0.1

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Package mritc (with last version 0.5-2) was removed from CRAN

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

2020-04-04 0.5-2
2018-05-27 0.5-1
2015-01-05 0.5-0
2012-04-20 0.4-0
2011-12-27 0.3-5
2011-10-24 0.3-4
2011-04-24 0.3-3
2010-10-28 0.3-2
2010-08-17 0.3-1

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

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

2016-03-02 1.5
2013-10-16 1.3
2012-04-05 1.1

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Package arctools (with last version 1.1.4) was removed from CRAN

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

2021-07-20 1.1.4
2021-04-15 1.1.2
2021-01-09 1.1.0
2020-11-27 1.0.0

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

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

2022-07-14 0.1.1

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

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

2022-08-12 1.0

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Package cobalt updated to version 4.4.1 with previous version 4.4.0 dated 2022-08-15

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'WeightIt', 'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with longitudinal treatments.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between cobalt versions 4.4.0 dated 2022-08-15 and 4.4.1 dated 2022-11-03

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New package stelfi with initial version 0.0.1
Package: stelfi
Title: Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder
Version: 0.0.1
Date: 2022-11-01
Depends: R (>= 4.1.0)
Imports: TMB (>= 1.7.20), sf (>= 1.0.8), Matrix, ggplot2 (>= 3.3.6), dplyr (>= 1.0.8), gridExtra (>= 2.3)
LinkingTo: TMB, RcppEigen
Description: Fit Hawkes and log-Gaussian Cox process models with extensions. Introduced in Hawkes (1971) <doi:10.2307/2334319> a Hawkes process is a self-exciting temporal point process where the occurrence of an event immediately increases the chance of another. We extend this to consider self-inhibiting process and a non-homogeneous background rate. A log-Gaussian Cox process is a Poisson point process where the log-intensity is given by a Gaussian random field. We extend this to a joint likelihood formulation fitting a marked log-Gaussian Cox model. In addition, the package offers functionality to fit self-exciting spatiotemporal point processes. Models are fitted via maximum likelihood using 'TMB' (Template Model Builder). Where included 1) random fields are assumed to be Gaussian and are integrated over using the Laplace approximation and 2) a stochastic partial differential equation model, introduced by Lindgren, Rue, and Lindström. (2011) <doi:10.1111/j.1467-9868.2011.00777.x>, [...truncated...]
License: GPL (>= 3)
Additional_repositories: https://inla.r-inla-download.org/R/testing
URL: https://github.com/cmjt/stelfi/
BugReports: https://github.com/cmjt/stelfi/issues
LazyData: TRUE
LazyDataCompression: xz
Encoding: UTF-8
Suggests: INLA (>= 21.08.31), testthat (>= 3.0.0), rmarkdown, maptools, parallel, spatstat.utils, spatstat.geom, rgdal, hawkesbow
NeedsCompilation: yes
Packaged: 2022-11-02 21:42:19 UTC; charlotte
Author: Charlotte M. Jones-Todd [aut, cre, cph] , Alec van Helsdingen [aut] , Xiangjie Xue [ctb] , Marsden Fund 3723517 [fnd], Asian Office of Aerospace Research & Development FA2386-21-1-4028 [fnd]
Maintainer: Charlotte M. Jones-Todd <cmjonestodd@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-03 16:10:02 UTC

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Package r2dii.analysis updated to version 0.2.1 with previous version 0.2.0 dated 2022-05-05

Title: Measure Climate Scenario Alignment of Corporate Loans
Description: These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software 'PACTA' (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals.
Author: Jackson Hoffart [aut, cre] , Mauro Lepore [aut, ctr] , Klaus Hogedorn [aut], Rocky Mountain Institute [cph, fnd]
Maintainer: Jackson Hoffart <jackson.hoffart@gmail.com>

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Package glmmrBase updated to version 0.1.3 with previous version 0.1.2 dated 2022-09-22

Title: Specification of Generalised Linear Mixed Models
Description: Specification of generalised linear mixed models using the 'R6' object-orientated class system. The package provides classes 'Covariance', 'MeanFunction' and 'Model', which allow for flexible specification of generalised linear mixed models, as well as functionality to produce relevant matrices, values, and analyses. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual.
Author: Sam Watson [aut, cre], Yi Pan [aut]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package EvoPhylo updated to version 0.3.2 with previous version 0.3 dated 2022-08-19

Title: Pre- And Postprocessing of Morphological Data from Relaxed Clock Bayesian Phylogenetics
Description: Performs automated morphological character partitioning for phylogenetic analyses and analyze macroevolutionary parameter outputs from clock (time-calibrated) Bayesian inference analyses, following concepts introduced by Simões and Pierce (2021) <doi:10.1038/s41559-021-01532-x>.
Author: Tiago Simoes [cre, aut] , Noah Greifer [aut] , Joelle Barido-Sottani [aut] , Stephanie Pierce [aut]
Maintainer: Tiago Simoes <trsimoes87@gmail.com>

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New package datana with initial version 1.0.1
Package: datana
Title: Data and Functions to Accompany Analisis De Datos Con R
Version: 1.0.1
Date: 2022-10-31
Description: Datasets and Functions to Accompany Salas-Eljatib (2021, ISBN: 9789566086109) "Analisis de datos con el programa estadistico R: una introduccion aplicada". The package helps carry out data management, exploratory analyses, and model fitting.
License: GPL-3
URL: https://eljatib.com/rlibro
Depends: R (>= 3.5.0)
Imports: ggplot2, stats, graphics
Suggests: covr, knitr, rmarkdown, spelling, testthat
Encoding: UTF-8
Language: en-US
LazyData: true
BuildResaveData: best
NeedsCompilation: no
Packaged: 2022-11-02 21:26:22 UTC; christian
Author: Christian Salas-Eljatib [aut, cre, cph] , Nicolas Pino [aut], Joaquin Riquelme [aut]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-03 16:10:09 UTC

More information about datana at CRAN
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New package cmbClust with initial version 0.0.1
Package: cmbClust
Version: 0.0.1
Date: 2022-10-31
Title: Conditional Mixture Modeling and Model-Based Clustering
Description: Conditional mixture model fitted via EM (Expectation Maximization) algorithm for model-based clustering, including parsimonious procedure, optimal conditional order exploration, and visualization.
Depends: R (>= 3.5.0)
Imports: stats, parallel
License: GPL (>= 2)
Repository: CRAN
LazyLoad: yes
LazyData: no
NeedsCompilation: yes
Packaged: 2022-11-02 21:24:12 UTC; wangy4
Author: Yang Wang [aut, cre], Volodymyr Melnykov [aut], Stephen Moshier [ctb] , Rouben Rostamian [ctb]
Maintainer: Yang Wang <wangy4@cofc.edu>
Date/Publication: 2022-11-03 16:10:13 UTC

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New package rosetta with initial version 0.3.10
Package: rosetta
Title: Parallel Use of Statistical Packages in Teaching
Version: 0.3.10
Description: When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>
License: GPL (>= 3)
URL: https://r-packages.gitlab.io/rosetta/
BugReports: https://gitlab.com/r-packages/rosetta/-/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Suggests: effectsize, GGally (>= 2.0), GPArotation (>= 2014.11), jmvcore (>= 1.0), MBESS (>= 4.8), rio (>= 0.5.10), rmarkdown, testthat
Imports: car (>= 3.0.2), ggplot2 (>= 2.2), ggrepel (>= 0.8), gridExtra (>= 2.3), lavaan (>= 0.6-5), lme4 (>= 1.1.19), multcompView (>= 0.1), pander (>= 0.6.3), plyr (>= 1.8.4), psych (>= 1.8.4), pwr (>= 1.2.2), rmdpartials (>= 0.5.8), ufs (>= 0.5.2), knitr, kableExtra, viridis (>= 0.4)
NeedsCompilation: no
Packaged: 2022-11-02 20:57:36 UTC; gjalt
Author: Gjalt-Jorn Peters [aut, cre] , Ron Pat-El [ctb] , Peter Verboon [ctb] , Melissa Gordon Wolf [ctb]
Repository: CRAN
Date/Publication: 2022-11-03 15:20:03 UTC

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Package r2dii.match updated to version 0.1.3 with previous version 0.1.1 dated 2022-09-05

Title: Tools to Match Corporate Lending Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial portfolios and climate scenarios (<https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals. This package matches data from corporate lending portfolios to asset level data from market-intelligence databases (e.g. power plant capacities, emission factors, etc.). This is the first step to assess if a financial portfolio aligns with climate goals.
Author: Jackson Hoffart [aut, cre] , Mauro Lepore [aut, ctr] , Klaus Hagedorn [aut], Florence Palandri [aut], Evgeny Petrovsky [aut], Rocky Mountain Institute [cph, fnd]
Maintainer: Jackson Hoffart <jackson.hoffart@gmail.com>

Diff between r2dii.match versions 0.1.1 dated 2022-09-05 and 0.1.3 dated 2022-11-03

 r2dii.match-0.1.1/r2dii.match/man/figures/logo.svg                     |only
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 r2dii.match-0.1.3/r2dii.match/LICENSE                                  |    2 
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 r2dii.match-0.1.3/r2dii.match/NAMESPACE                                |    1 
 r2dii.match-0.1.3/r2dii.match/NEWS.md                                  |    9 ++
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 19 files changed, 79 insertions(+), 77 deletions(-)

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New package rBahadur with initial version 0.9.1
Package: rBahadur
Title: Assortative Mating Simulation and Multivariate Bernoulli Variates
Version: 0.9.1
Description: Simulation of phenotype / genotype data under assortative mating. Includes functions for generating Bahadur order-2 multivariate Bernoulli variables with general and diagonal-plus-low-rank correlation structures. Further details are provided in: Border and Malik (2022) <doi:10.1101/2022.10.13.512132>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.3.0), stats
NeedsCompilation: no
Packaged: 2022-11-02 18:44:55 UTC; rsb
Author: Richard Border [aut, cre] , Osman Malik [aut]
Maintainer: Richard Border <border.richard@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-03 16:00:02 UTC

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New package powerjoin with initial version 0.1.0
Package: powerjoin
Title: Extensions of 'dplyr' and 'fuzzyjoin' Join Functions
Version: 0.1.0
Description: We extend 'dplyr' and 'fuzzyjoin' join functions with features to preprocess the data, apply various data checks, and deal with conflicting columns.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, glue, rlang, tidyselect, vctrs, purrr, tibble, tidyr, cli, methods
URL: https://github.com/moodymudskipper/powerjoin
BugReports: https://github.com/moodymudskipper/powerjoin/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-03 05:59:15 UTC; Antoine
Author: Antoine Fabri [aut, cre], Hadley Wickham [ctb] , Romain Francois [ctb] , David Robinson [ctb] , RStudio [cph, fnd]
Maintainer: Antoine Fabri <antoine.fabri@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-03 15:20:07 UTC

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New package ExomeDepth with initial version 1.1.16
Package: ExomeDepth
Title: Calls Copy Number Variants from Targeted Sequence Data
Version: 1.1.16
Date: 2022-10-14
Encoding: UTF-8
Depends: R (>= 3.4.0)
Imports: Biostrings, IRanges, Rsamtools, GenomicRanges (>= 1.23.0), aod, VGAM (>= 0.8.4), methods, GenomicAlignments, dplyr, magrittr
Suggests: knitr
VignetteBuilder: knitr
Description: Calls copy number variants (CNVs) from targeted sequence data, typically exome sequencing experiments designed to identify the genetic basis of Mendelian disorders. The method is presented in details in Plagnol et al (2012) <https://pubmed.ncbi.nlm.nih.gov/22942019/>.
License: GPL-3
NeedsCompilation: yes
Packaged: 2022-11-02 20:45:41 UTC; vincent
Author: Vincent Plagnol [aut, cre], Gerard Jungman [ctb] , Brian Gough [ctb] , Jorma O Tahtinen [ctb] , Gert Van den Eynde [ctb]
Maintainer: Vincent Plagnol <vincent.plagnol@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-03 16:00:05 UTC

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Package LogConcDEAD updated to version 1.6-6 with previous version 1.6-5 dated 2022-01-18

Title: Log-Concave Density Estimation in Arbitrary Dimensions
Description: Software for computing a log-concave (maximum likelihood) estimator for i.i.d. data in any number of dimensions. For a detailed description of the method see Cule, Samworth and Stewart (2010, Journal of Royal Statistical Society Series B, <doi:10.1111/j.1467-9868.2010.00753.x>).
Author: Madeleine Cule, Robert Gramacy, Richard Samworth, Yining Chen
Maintainer: Yining Chen <Y.Chen101@lse.ac.uk>

Diff between LogConcDEAD versions 1.6-5 dated 2022-01-18 and 1.6-6 dated 2022-11-03

 DESCRIPTION              |    9 +++++----
 MD5                      |   34 +++++++++++++++++-----------------
 NEWS                     |    4 +++-
 R/dlcd.R                 |    2 +-
 R/dslcd.R                |    2 +-
 R/hatA.R                 |    2 +-
 R/interpmarglcd.R        |    4 ++--
 R/rslcd.R                |    2 +-
 build/vignette.rds       |binary
 inst/doc/LogConcDEAD.pdf |binary
 man/plot.LogConcDEAD.Rd  |    3 +--
 src/geom.c               |    3 +--
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 src/merge.c              |    2 +-
 src/poly2.c              |    2 +-
 src/solvoptweights.c     |   18 ++++++++----------
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Package BayesXsrc updated to version 3.0-3 with previous version 3.0-2 dated 2022-02-20

Title: R Package Distribution of the BayesX C++ Sources
Description: BayesX performs Bayesian inference in structured additive regression (STAR) models. The R package BayesXsrc provides the BayesX command line tool for easy installation. A convenient R interface is provided in package R2BayesX.
Author: Nikolaus Umlauf [aut, cre] , Daniel Adler [aut], Thomas Kneib [aut], Stefan Lang [aut], Achim Zeileis [aut]
Maintainer: Nikolaus Umlauf <Nikolaus.Umlauf@uibk.ac.at>

Diff between BayesXsrc versions 3.0-2 dated 2022-02-20 and 3.0-3 dated 2022-11-03

 DESCRIPTION                                               |    8 
 MD5                                                       |  202 +++++++-------
 src/bayesxsrc/andrea/IWLS_baseline.cpp                    |   20 -
 src/bayesxsrc/andrea/IWLS_baseline.h                      |    6 
 src/bayesxsrc/andrea/baseline.cpp                         |   34 +-
 src/bayesxsrc/andrea/baseline.h                           |    2 
 src/bayesxsrc/andrea/cox.cpp                              |    4 
 src/bayesxsrc/andrea/multibaseline.cpp                    |   10 
 src/bayesxsrc/andrea/multibaseline.h                      |    2 
 src/bayesxsrc/andrea/multistate.cpp                       |    2 
 src/bayesxsrc/bib/admin.h                                 |    8 
 src/bayesxsrc/bib/bayesreg2.cpp                           |    8 
 src/bayesxsrc/bib/clstring.cpp                            |    5 
 src/bayesxsrc/bib/clstring.h                              |    2 
 src/bayesxsrc/bib/data.cpp                                |   60 ++--
 src/bayesxsrc/bib/dataobj.cpp                             |    6 
 src/bayesxsrc/bib/dataobj.h                               |    6 
 src/bayesxsrc/bib/first.h                                 |    2 
 src/bayesxsrc/bib/map.cpp                                 |    2 
 src/bayesxsrc/bib/map.h                                   |    6 
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 src/bayesxsrc/bib/model.cpp                               |   20 -
 src/bayesxsrc/bib/model.h                                 |   32 +-
 src/bayesxsrc/bib/remlreg.cpp                             |   26 -
 src/bayesxsrc/bib/remlreg.h                               |    4 
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 src/bayesxsrc/dag/dagobject.h                             |    8 
 src/bayesxsrc/dag/fullcond_dag.h                          |    2 
 src/bayesxsrc/dag/fullcond_rj_ia.cpp                      |    4 
 src/bayesxsrc/graph/graphobj.cpp                          |    4 
 src/bayesxsrc/leyre/nbinomial.cpp                         |   16 -
 src/bayesxsrc/leyre/nbinomial.h                           |    2 
 src/bayesxsrc/leyre/zip.cpp                               |   16 -
 src/bayesxsrc/leyre/zip.h                                 |    2 
 src/bayesxsrc/mcmc/baseline_reml.cpp                      |    8 
 src/bayesxsrc/mcmc/distribution.cpp                       |   32 +-
 src/bayesxsrc/mcmc/distribution.h                         |   30 +-
 src/bayesxsrc/mcmc/distribution_glasgow.h                 |   24 -
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 src/bayesxsrc/mcmc/fullcond_nonp_gaussian.h               |   12 
 src/bayesxsrc/mcmc/fullcond_nonp_gaussian_stepwise.cpp    |   20 -
 src/bayesxsrc/mcmc/gaussian_heteroskedastic.cpp           |   72 ++--
 src/bayesxsrc/mcmc/hrandom.cpp                            |    2 
 src/bayesxsrc/mcmc/kriging.cpp                            |   16 -
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 src/bayesxsrc/mcmc/kriging2.cpp                           |   22 -
 src/bayesxsrc/mcmc/kriging2.h                             |    4 
 src/bayesxsrc/mcmc/mcmc_const.cpp                         |    4 
 src/bayesxsrc/mcmc/mcmc_const_stepwise.cpp                |   12 
 src/bayesxsrc/mcmc/mcmc_const_stepwise.h                  |   16 -
 src/bayesxsrc/mcmc/mcmc_nonpbasis.h                       |    4 
 src/bayesxsrc/mcmc/mcmc_ridge.cpp                         |   32 +-
 src/bayesxsrc/mcmc/mcmc_ridge.h                           |    6 
 src/bayesxsrc/mcmc/mcmcsimul.cpp                          |   40 +-
 src/bayesxsrc/mcmc/mcmcsimul2.cpp                         |  168 +++++------
 src/bayesxsrc/mcmc/mcmcsimul2.h                           |   58 ++--
 src/bayesxsrc/mcmc/mcmcsimul2_multi.cpp                   |   42 +-
 src/bayesxsrc/mcmc/mcmcsimul2_multi.h                     |   26 -
 src/bayesxsrc/mcmc/randomeffect.cpp                       |    2 
 src/bayesxsrc/mcmc/randomeffect_alt.cpp                   |    2 
 src/bayesxsrc/mcmc/randomeffect_alt2.cpp                  |    2 
 src/bayesxsrc/mcmc/randomeffect_stepwise.cpp              |    6 
 src/bayesxsrc/mcmc/remlest.cpp                            |   94 +++---
 src/bayesxsrc/mcmc/remlest_multi.cpp                      |   60 ++--
 src/bayesxsrc/mcmc/remlest_multi.h                        |    4 
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 src/bayesxsrc/mcmc/remlest_multistate.cpp                 |    2 
 src/bayesxsrc/mcmc/variance_nonp.cpp                      |    6 
 src/bayesxsrc/psplines/IWLS_pspline.cpp                   |   20 -
 src/bayesxsrc/psplines/IWLS_pspline.h                     |   14 
 src/bayesxsrc/psplines/bsplinemat.cpp                     |    2 
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 src/bayesxsrc/psplines/fullcond_pspline_gaussian.h        |    6 
 src/bayesxsrc/psplines/fullcond_pspline_stepwise.cpp      |   48 +--
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Package tipsae updated to version 0.0.9 with previous version 0.0.7 dated 2022-08-19

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process.
Author: Silvia De Nicolò [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolò <silvia.denicolo@unibo.it>

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Package rcheology updated to version 4.2.2.0 with previous version 4.2.1.0 dated 2022-06-27

Title: Data on Base Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base packages of R versions 1.0.1 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package semnar updated to version 0.8.1 with previous version 0.8.0 dated 2022-10-27

Title: Constructing and Interacting with Databases of Presentations
Description: Provides methods for constructing and maintaining a database of presentations in R. The presentations are either ones that the user gives or gave or presentations at a particular event or event series. The package also provides a plot method for the interactive mapping of the presentations using 'leaflet' by grouping them according to country, city, year and other presentation attributes. The markers on the map come with popups providing presentation details (title, institution, event, links to materials and events, and so on).
Author: Ioannis Kosmidis [aut, cre]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package pedtools updated to version 2.0.0 with previous version 1.3.0 dated 2022-06-07

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'ped suite', a collection of packages for pedigree analysis. A detailed presentation of the 'ped suite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package IRkernel updated to version 1.3.1 with previous version 1.3 dated 2022-01-03

Title: Native R Kernel for the 'Jupyter Notebook'
Description: The R kernel for the 'Jupyter' environment executes R code which the front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via the network.
Author: Thomas Kluyver [aut, cph], Philipp Angerer [aut, cph, cre] , Jan Schulz [aut, cph], Karthik Ram [aut, cph]
Maintainer: Philipp Angerer <phil.angerer@gmail.com>

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Package cropcircles updated to version 0.1.1 with previous version 0.1.0 dated 2022-09-14

Title: Crops an Image to a Circle
Description: Images are cropped to a circle with a transparent background. The function takes a vector of images, either local or from a link, and circle crops the image. Paths to the cropped image are returned for plotting with 'ggplot2'.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

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Package srm updated to version 0.4-26 with previous version 0.3-6 dated 2019-12-15

Title: Structural Equation Modeling for the Social Relations Model
Description: Provides functionality for structural equation modeling for the social relations model (Kenny & La Voie, 1984; <doi:10.1016/S0065-2601(08)60144-6>; Warner, Kenny, & Soto, 1979, <doi:10.1037/0022-3514.37.10.1742>). Maximum likelihood estimation (Gill & Swartz, 2001, <doi:10.2307/3316080>; Nestler, 2018, <doi:10.3102/1076998617741106>) and least squares estimation is supported (Bond & Malloy, 2018, <doi:10.1016/B978-0-12-811967-9.00014-X>).
Author: Steffen Nestler [aut], Alexander Robitzsch [aut, cre], Oliver Luedtke [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package spatstat.random updated to version 3.0-1 with previous version 3.0-0 dated 2022-11-01

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes (simple sequential inhibition, Matern inhibition models, Matern cluster process, Neyman-Scott cluster processes, log-Gaussian Cox processes, product shot noise cluster processes) and simulation of Gibbs point processes (Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , Kasper Klitgaard Berthelsen [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package cvar updated to version 0.5 with previous version 0.4.1 dated 2022-09-19

Title: Compute Expected Shortfall and Value at Risk for Continuous Distributions
Description: Compute expected shortfall (ES) and Value at Risk (VaR) from a quantile function, distribution function, random number generator or probability density function. ES is also known as Conditional Value at Risk (CVaR). Virtually any continuous distribution can be specified. The functions are vectorized over the arguments. The computations are done directly from the definitions, see e.g. Acerbi and Tasche (2002) <doi:10.1111/1468-0300.00091>. Some support for GARCH models is provided, as well.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package timevis updated to version 2.1.0 with previous version 2.0.0 dated 2021-12-20

Title: Create Interactive Timeline Visualizations in R
Description: Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps or R markdown documents. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline JavaScript library.
Author: Dean Attali [aut, cre] , Almende B.V. [aut, cph]
Maintainer: Dean Attali <daattali@gmail.com>

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Package SHT updated to version 0.1.8 with previous version 0.1.7 dated 2022-06-06

Title: Statistical Hypothesis Testing Toolbox
Description: We provide a collection of statistical hypothesis testing procedures ranging from classical to modern methods for non-trivial settings such as high-dimensional scenario. For the general treatment of statistical hypothesis testing, see the book by Lehmann and Romano (2005) <doi:10.1007/0-387-27605-X>.
Author: Kyoungjae Lee [aut], Lizhen Lin [aut], Kisung You [aut, cre]
Maintainer: Kisung You <kisungyou@outlook.com>

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Permanent link

New package scoringfunctions with initial version 0.0.5
Package: scoringfunctions
Version: 0.0.5
Date: 2022-10-30
Title: A Collection of Scoring Functions for Assessing Point Forecasts
Description: Implements multiple consistent scoring functions (Gneiting T (2011) <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point predictions. Detailed documentation of scoring functions' properties is included for facilitating interpretation of results.
Depends: R (>= 4.0.0)
License: GPL-3
Author: Hristos Tyralis [aut, cre] , Georgia Papacharalampous [aut]
Maintainer: Hristos Tyralis <montchrister@gmail.com>
Repository: CRAN
NeedsCompilation: no
Packaged: 2022-10-30 15:41:55 UTC; Chris
Date/Publication: 2022-11-03 08:30:06 UTC

More information about scoringfunctions at CRAN
Permanent link

Package RProtoBuf updated to version 0.4.20 with previous version 0.4.19 dated 2022-05-06

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. A sufficiently recent version of 'Protocol Buffers' library is required; currently version 3.3.0 from 2017 is the stated minimum.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Permanent link

Package phenofit updated to version 0.3.6 with previous version 0.3.2 dated 2021-10-15

Title: Extract Remote Sensing Vegetation Phenology
Description: The merits of 'TIMESAT' and 'phenopix' are adopted. Besides, a simple and growing season dividing method and a practical snow elimination method based on Whittaker were proposed. 7 curve fitting methods and 4 phenology extraction methods were provided. Parameters boundary are considered for every curve fitting methods according to their ecological meaning. And 'optimx' is used to select best optimization method for different curve fitting methods. Reference: Kong, D., (2020). R package: A state-of-the-art Vegetation Phenology extraction package, phenofit version 0.3.1, <doi:10.5281/zenodo.5150204>; Kong, D., Zhang, Y., Wang, D., Chen, J., & Gu, X. (2020). Photoperiod Explains the Asynchronization Between Vegetation Carbon Phenology and Vegetation Greenness Phenology. Journal of Geophysical Research: Biogeosciences, 125(8), e2020JG005636. <doi:10.1029/2020JG005636>; Kong, D., Zhang, Y., Gu, X., & Wang, D. (2019). A robust method for reconstructing global MODIS EVI ti [...truncated...]
Author: Dongdong Kong [aut, cre], Mingzhong Xiao [aut], Yongqiang Zhang [aut], Xihui Gu [aut], Jianjian Cui [aut]
Maintainer: Dongdong Kong <kongdd.sysu@gmail.com>

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Package mlr3verse updated to version 0.2.6 with previous version 0.2.5 dated 2022-05-18

Title: Easily Install and Load the 'mlr3' Package Family
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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New package kfino with initial version 1.0.0
Package: kfino
Title: Kalman Filter for Impulse Noised Outliers
Version: 1.0.0
Author: Bertrand Cloez [aut], Isabelle Sanchez [aut, cre], Benedicte Fontez [ctr]
Maintainer: Isabelle Sanchez <isabelle.sanchez@inrae.fr>
Description: A method for detecting outliers with a Kalman filter on impulsed noised outliers and prediction on cleaned data. 'kfino' is a robust sequential algorithm allowing to filter data with a large number of outliers. This algorithm is based on simple latent linear Gaussian processes as in the Kalman Filter method and is devoted to detect impulse-noised outliers. These are data points that differ significantly from other observations. 'ML' (Maximization Likelihood) and 'EM' (Expectation-Maximization algorithm) algorithms were implemented in 'kfino'. The method is described in full details in the following arXiv e-Print: <arXiv:2208.00961>.
License: GPL-3
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: TRUE
URL: https://forgemia.inra.fr/isabelle.sanchez/kfino
BugReports: https://forgemia.inra.fr/isabelle.sanchez/kfino/-/issues
Imports: ggplot2, dplyr,
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), covr, foreach, doParallel, parallel
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-10-07 07:10:31 UTC; sanchez
Repository: CRAN
Date/Publication: 2022-11-03 08:26:44 UTC

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Package BSL updated to version 3.2.5 with previous version 3.2.4 dated 2022-02-22

Title: Bayesian Synthetic Likelihood
Description: Bayesian synthetic likelihood (BSL, Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) is an alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal distribution for the summary statistic likelihood and it is suitable when the distribution of the model summary statistics is sufficiently regular. This package provides a Metropolis Hastings Markov chain Monte Carlo implementation of four methods (BSL, uBSL, semiBSL and BSLmisspec) and two shrinkage estimators (graphical lasso and Warton's estimator). uBSL (Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) uses an unbiased estimator to the normal density. A semi-parametric version of BSL (semiBSL, An et al. (2018) <arXiv:1809.05800>) is more robust to non-normal summary statistics. BSLmisspec (Frazier et al. 2019 <arXiv:1904.04551>) estimates the Gaussian synthetic likelihood whilst acknowledging that there may be incompatibility between the mod [...truncated...]
Author: Ziwen An [aut] , Leah F. South [aut, cre] , Christopher C. Drovandi [aut]
Maintainer: Leah F. South <l1.south@qut.edu.au>

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Package shinyStorePlus updated to version 0.7 with previous version 0.6 dated 2022-08-14

Title: Secure in-Browser Storage for 'Shiny' Inputs and Variables
Description: Store persistent and synchronized data from 'Shiny' inputs within the browser in a secure format. Refresh 'Shiny' applications and preserve user-inputs over multiple sessions. A database-like storage format is implemented using 'Dexie.js' <https://dexie.org>, a minimal wrapper for 'IndexedDB'.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between shinyStorePlus versions 0.6 dated 2022-08-14 and 0.7 dated 2022-11-03

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