Fri, 04 Nov 2022

Package gluedown updated to version 1.0.5 with previous version 1.0.4 dated 2021-05-10

Title: Wrap Vectors in Markdown Formatting
Description: Ease the transition between R vectors and markdown text. With 'gluedown' and 'rmarkdown', users can create traditional vectors in R, glue those strings together with the markdown syntax, and print those formatted vectors directly to the document. This package primarily uses GitHub Flavored Markdown (GFM), an offshoot of the unambiguous CommonMark specification by John MacFarlane (2019) <https://spec.commonmark.org/>.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

Diff between gluedown versions 1.0.4 dated 2021-05-10 and 1.0.5 dated 2022-11-04

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Package bbotk updated to version 0.7.0 with previous version 0.6.0 dated 2022-10-25

Title: Black-Box Optimization Toolkit
Description: Provides a common framework for optimization of black-box functions for other packages, e.g. 'mlr3tuning' or 'mlr3fselect'. It offers various optimization methods e.g. grid search, random search, generalized simulated annealing and iterated racing.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 0.6.0 dated 2022-10-25 and 0.7.0 dated 2022-11-04

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Package gtExtras updated to version 0.4.3 with previous version 0.4.2 dated 2022-09-03

Title: Extending 'gt' for Beautiful HTML Tables
Description: Provides additional functions for creating beautiful tables with 'gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.
Author: Thomas Mock [aut, cre, cph], Daniel D. Sjoberg [ctb]
Maintainer: Thomas Mock <j.thomasmock@gmail.com>

Diff between gtExtras versions 0.4.2 dated 2022-09-03 and 0.4.3 dated 2022-11-04

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Package fdaPDE updated to version 1.1-11 with previous version 1.1-10 dated 2022-10-31

Title: Functional Data Analysis and Partial Differential Equations (PDE); Statistical Analysis of Functional and Spatial Data, Based on Regression with PDE Regularization
Description: An implementation of regression models with partial differential regularizations, making use of the Finite Element Method. The models efficiently handle data distributed over irregularly shaped domains and can comply with various conditions at the boundaries of the domain. A priori information about the spatial structure of the phenomenon under study can be incorporated in the model via the differential regularization. See Sangalli, L. M. (2021). Spatial Regression With Partial Differential Equation Regularisation. International Statistical Review, 89(3), 505-531. for an overview. The release 1.1-9 requires R (>= 4.2.0) to be installed on windows machines.
Author: Eleonora Arnone [aut, cre], Laura M. Sangalli [aut], Eardi Lila [aut], Jim Ramsay [aut], Luca Formaggia [aut], Giovanni Ardenghi [ctb], Michele Cavazzutti [ctb], Aldo Clemente [ctb], Alessandra Colli [ctb], Alberto Colombo [ctb], Luca Colombo [ctb], [...truncated...]
Maintainer: Eleonora Arnone <eleonora.arnone@polimi.it>

Diff between fdaPDE versions 1.1-10 dated 2022-10-31 and 1.1-11 dated 2022-11-04

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Package gconsensus updated to version 0.3.2 with previous version 0.3.1 dated 2021-09-27

Title: Consensus Value Constructor
Description: An implementation of the International Bureau of Weights and Measures (BIPM) generalized consensus estimators used to assign the reference value in a key comparison exercise. This can also be applied to any interlaboratory study. Given a set of different sources, primary laboratories or measurement methods this package provides an evaluation of the variance components according to the selected statistical method for consensus building. It also implements the comparison among different consensus builders and evaluates the participating method or sources against the consensus reference value. Based on a diverse set of references, DerSimonian-Laird (1986) <doi:10.1016/0197-2456(86)90046-2>, for a complete list of references look at the reference section in the package documentation.
Author: Hugo Gasca-Aragon
Maintainer: Hugo Gasca-Aragon <hugo_gasca_aragon@hotmail.com>

Diff between gconsensus versions 0.3.1 dated 2021-09-27 and 0.3.2 dated 2022-11-04

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Package multiview updated to version 0.7 with previous version 0.4 dated 2022-09-02

Title: Cooperative Learning for Multi-View Analysis
Description: Cooperative learning combines the usual squared error loss of predictions with an agreement penalty to encourage the predictions from different data views to agree. By varying the weight of the agreement penalty, we get a continuum of solutions that include the well-known early and late fusion approaches. Cooperative learning chooses the degree of agreement (or fusion) in an adaptive manner, using a validation set or cross-validation to estimate test set prediction error. In the setting of cooperative regularized linear regression, the method combines the lasso penalty with the agreement penalty (Ding, D., Li, S., Narasimhan, B., Tibshirani, R. (2021) <doi:10.1073/pnas.2202113119>).
Author: Daisy Yi Ding [aut], Robert J. Tibshirani [aut], Balasubramanian Narasimhan [aut, cre], Trevor Hastie [aut], Kenneth Tay [aut], James Yang [aut]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between multiview versions 0.4 dated 2022-09-02 and 0.7 dated 2022-11-04

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Package melt updated to version 1.9.0 with previous version 1.8.0 dated 2022-09-20

Title: Multiple Empirical Likelihood Tests
Description: Performs multiple empirical likelihood tests for linear and generalized linear models. The package offers an easy-to-use interface and flexibility in specifying hypotheses and calibration methods, extending the framework to simultaneous inferences. The core computational routines are implemented using the 'Eigen' C++ library and 'RcppEigen' interface, with OpenMP for parallel computation. Details of the testing procedures are given in Kim, MacEachern, and Peruggia (2021) <arxiv:2112.09206>. This work was supported by the U.S. National Science Foundation under Grants No. SES-1921523 and DMS-2015552.
Author: Eunseop Kim [aut, cre], Steven MacEachern [ctb, ths], Mario Peruggia [ctb, ths], Pierre Chausse [rev], Alex Stringer [rev]
Maintainer: Eunseop Kim <kim.7302@osu.edu>

Diff between melt versions 1.8.0 dated 2022-09-20 and 1.9.0 dated 2022-11-04

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Package devEMF updated to version 4.1-1 with previous version 4.1 dated 2022-06-24

Title: EMF Graphics Output Device
Description: Output graphics to EMF+/EMF.
Author: Philip Johnson
Maintainer: Philip Johnson <plfj@umd.edu>

Diff between devEMF versions 4.1 dated 2022-06-24 and 4.1-1 dated 2022-11-04

 DESCRIPTION |    8 ++++----
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More information about devEMF at CRAN
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New package mixedLSR with initial version 0.1.0
Package: mixedLSR
Title: Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data
Version: 0.1.0
Description: Mixed, low-rank, and sparse multivariate regression ('mixedLSR') provides tools for performing mixture regression when the coefficient matrix is low-rank and sparse. 'mixedLSR' allows subgroup identification by alternating optimization with simulated annealing to encourage global optimum convergence. This method is data-adaptive, automatically performing parameter selection to identify low-rank substructures in the coefficient matrix.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: grpreg, purrr, MASS, stats, ggplot2
Suggests: knitr, rmarkdown, mclust
VignetteBuilder: knitr
BugReports: https://github.com/alexanderjwhite/mixedLSR
URL: https://alexanderjwhite.github.io/mixedLSR/
NeedsCompilation: no
Packaged: 2022-11-04 10:33:31 UTC; whitealj
Author: Alexander White [aut, cre] , Sha Cao [aut] , Yi Zhao [ctb] , Chi Zhang [ctb]
Maintainer: Alexander White <whitealj@iu.edu>
Repository: CRAN
Date/Publication: 2022-11-04 20:00:02 UTC

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Package blogdown updated to version 1.14 with previous version 1.13 dated 2022-09-24

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.13 dated 2022-09-24 and 1.14 dated 2022-11-04

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Package dials updated to version 1.1.0 with previous version 1.0.0 dated 2022-06-14

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>

Diff between dials versions 1.0.0 dated 2022-06-14 and 1.1.0 dated 2022-11-04

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Package pacotest updated to version 0.4.2 with previous version 0.4.1 dated 2021-11-08

Title: Testing for Partial Copulas and the Simplifying Assumption in Vine Copulas
Description: Routines for two different test types, the Constant Conditional Correlation (CCC) test and the Vectorial Independence (VI) test are provided (Kurz and Spanhel (2022) <doi:10.1214/22-EJS2051>). The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The CCC test comes with a decision tree approach to allow testing in high-dimensional settings.
Author: Malte S. Kurz [aut, cre]
Maintainer: Malte S. Kurz <mkurz-software@gmx.de>

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Package dodgr updated to version 0.2.17 with previous version 0.2.16 dated 2022-09-19

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Shane Saunders [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package Benchmarking updated to version 0.31 with previous version 0.30 dated 2022-05-05

Title: Benchmark and Frontier Analysis Using DEA and SFA
Description: Methods for frontier analysis, Data Envelopment Analysis (DEA), under different technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+), and using different efficiency measures (input based, output based, hyperbolic graph, additive, super, and directional efficiency). Peers and slacks are available, partial price information can be included, and optimal cost, revenue and profit can be calculated. Evaluation of mergers is also supported. Methods for graphing the technology sets are also included. There is also support for comparative methods based on Stochastic Frontier Analyses (SFA) and for convex nonparametric least squares of convex functions (STONED). In general, the methods can be used to solve not only standard models, but also many other model variants. It complements the book, Bogetoft and Otto, Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of course also be used as a stand-alone package.
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23@gmail.com>

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Package dsfa updated to version 1.0.1 with previous version 1.0.0 dated 2022-09-26

Title: Distributional Stochastic Frontier Analysis
Description: Framework to fit distributional stochastic frontier models. Casts the stochastic frontier model into the flexible framework of distributional regression or otherwise known as General Additive Models of Location, Scale and Shape (GAMLSS). Allows for linear, non-linear, random and spatial effects on all the parameters of the distribution of the output, e.g. effects on the production or cost function, heterogeneity of the noise and inefficiency. Available distributions are the normal-halfnormal and normal-exponential distribution. Estimation via the fast and reliable routines of the 'mgcv' package. For more details see Schmidt R, Kneib T (2022) <doi:10.48550/arXiv.2208.10294>.
Author: Rouven Schmidt [aut, cre]
Maintainer: Rouven Schmidt <rouven.schmidt@tu-clausthal.de>

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Package timechange updated to version 0.1.1 with previous version 0.1.0 dated 2022-10-30

Title: Efficient Manipulation of Date-Times
Description: Efficient routines for manipulation of date-time objects while accounting for time-zones and daylight saving times. The package includes utilities for updating of date-time components (year, month, day etc.), modification of time-zones, rounding of date-times, period addition and subtraction etc. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
Author: Vitalie Spinu [aut, cre], Google Inc. [ctb, cph]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between timechange versions 0.1.0 dated 2022-10-30 and 0.1.1 dated 2022-11-04

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Package sylcount updated to version 0.2-5 with previous version 0.2-4 dated 2022-03-11

Title: Syllable Counting and Readability Measurements
Description: An English language syllable counter, plus readability score measure-er. For readability, we support 'Flesch' Reading Ease and 'Flesch-Kincaid' Grade Level ('Kincaid' 'et al'. 1975) <https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=1055&context=istlibrary>, Automated Readability Index ('Senter' and Smith 1967) <https://apps.dtic.mil/sti/citations/AD0667273>, Simple Measure of Gobbledygook (McLaughlin 1969) <https://www.semanticscholar.org/paper/SMOG-Grading-A-New-Readability-Formula.-Laughlin/5fccb74c14769762b3de010c5e8a1a7ce700d17a>, and 'Coleman-Liau' (Coleman and 'Liau' 1975) <doi:10.1037/h0076540>. The package has been carefully optimized and should be very efficient, both in terms of run time performance and memory consumption. The main methods are 'vectorized' by document, and scores for multiple documents are computed in parallel via 'OpenMP'.
Author: Drew Schmidt [aut, cre]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between sylcount versions 0.2-4 dated 2022-03-11 and 0.2-5 dated 2022-11-04

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New package spatstat.explore with initial version 3.0-3
Package: spatstat.explore
Version: 3.0-3
Date: 2022-11-04
Title: Exploratory Data Analysis for the 'spatstat' Family
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>
Depends: R (>= 3.5.0), spatstat.data (>= 3.0), spatstat.geom (>= 3.0), spatstat.random (>= 3.0), stats, graphics, grDevices, utils, methods, nlme
Imports: spatstat.utils (>= 3.0), spatstat.sparse (>= 3.0), goftest (>= 1.2-2), Matrix, abind
Suggests: sm, maptools (>= 0.9-9), gsl, locfit, spatial, fftwtools (>= 0.9-8), spatstat.linnet (>= 3.0), spatstat.model (>= 3.0), spatstat (>= 3.0)
Additional_repositories: https://spatstat.r-universe.dev
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
License: GPL (>= 2)
URL: http://spatstat.org/
NeedsCompilation: yes
ByteCompile: true
BugReports: https://github.com/spatstat/spatstat.explore/issues
Packaged: 2022-11-04 10:09:42 UTC; adrian
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Repository: CRAN
Date/Publication: 2022-11-04 15:30:05 UTC

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Package servr updated to version 0.25 with previous version 0.24 dated 2021-11-16

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] , Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb], Romain Lesur [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package rpact updated to version 3.3.2 with previous version 3.3.1 dated 2022-08-24

Title: Confirmatory Adaptive Clinical Trial Design and Analysis
Description: Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.
Author: Gernot Wassmer [aut], Friedrich Pahlke [aut, cre]
Maintainer: Friedrich Pahlke <friedrich.pahlke@rpact.com>

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Permanent link

Package QTLRel updated to version 1.12 with previous version 1.11 dated 2022-06-17

Title: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

Diff between QTLRel versions 1.11 dated 2022-06-17 and 1.12 dated 2022-11-04

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Package nametagger updated to version 0.1.2 with previous version 0.1.1 dated 2020-10-11

Title: Named Entity Recognition in Texts using 'NameTag'
Description: Wraps the 'nametag' library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between nametagger versions 0.1.1 dated 2020-10-11 and 0.1.2 dated 2022-11-04

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Package mctq updated to version 0.3.1 with previous version 0.3.0 dated 2022-08-22

Title: Tools to Process the Munich ChronoType Questionnaire (MCTQ)
Description: A complete toolkit to process the Munich ChronoType Questionnaire (MCTQ) for its three versions (standard, micro, and shift). MCTQ is a quantitative and validated tool to assess chronotypes using peoples' sleep behavior, originally presented by Till Roenneberg, Anna Wirz-Justice, and Martha Merrow (2003, <doi:10.1177/0748730402239679>).
Author: Daniel Vartanian [aut, cre, ccp, cph] , Ana Amelia Benedito-Silva [aut, sad] , Mario Pedrazzoli [aut, sad] , Jonathan Keane [rev] , Mario Andre Leocadio-Miguel [rev] , Interdisciplinary Sleep Research Group [fnd], University of Sao Paulo [fnd]
Maintainer: Daniel Vartanian <danvartan@gmail.com>

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Package GreedyExperimentalDesign updated to version 1.5 with previous version 1.4 dated 2020-12-07

Title: Greedy Experimental Design Construction
Description: Computes experimental designs for a two-arm experiment with covariates via a number of methods: (0) complete randomization and randomization with forced-balance, (1) Greedily optimizing a balance objective function via pairwise switching. This optimization provides lower variance for the treatment effect estimator (and higher power) while preserving a design that is close to complete randomization. We return all iterations of the designs for use in a permutation test, (2) The second is via numerical optimization (via 'gurobi' which must be installed, see <https://www.gurobi.com/documentation/9.1/quickstart_windows/r_ins_the_r_package.html>) a la Bertsimas and Kallus, (3) rerandomization, (4) Karp's method for one covariate, (5) exhaustive enumeration to find the optimal solution (only for small sample sizes), (6) Binary pair matching using the 'nbpMatching' library, (7) Binary pair matching plus design number (1) to further optimize balance, (8) Binary pair matching plus design n [...truncated...]
Author: Adam Kapelner [aut, cre] , David Azriel [aut], Abba Krieger [aut]
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between GreedyExperimentalDesign versions 1.4 dated 2020-12-07 and 1.5 dated 2022-11-04

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Package ggprism updated to version 1.0.4 with previous version 1.0.3 dated 2021-06-08

Title: A 'ggplot2' Extension Inspired by 'GraphPad Prism'
Description: Provides various themes, palettes, and other functions that are used to customise ggplots to look like they were made in 'GraphPad Prism'. The 'Prism'-look is achieved with theme_prism() and scale_fill|colour_prism(), axes can be changed with custom guides like guide_prism_minor(), and significance indicators added with add_pvalue().
Author: Charlotte Dawson [aut, cre]
Maintainer: Charlotte Dawson <csdaw@outlook.com>

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Package ggplot2 updated to version 3.4.0 with previous version 3.3.6 dated 2022-05-03

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , RStudio [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

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Package ctmm updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-12

Title: Continuous-Time Movement Modeling
Description: Functions for identifying, fitting, and applying continuous-space, continuous-time stochastic-process movement models to animal tracking data. The package is described in Calabrese et al (2016) <doi:10.1111/2041-210X.12559>, with models and methods based on those introduced and detailed in Fleming & Calabrese et al (2014) <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>, Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>, Fleming et al (2015) <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron & Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese (2017) <doi:10.1111/2041-210X.12673>, Péron et al (2017) <doi:10.1002/ecm.1260>, Fleming et al (2017) <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018) <doi:10.1002/eap.1704>, Winner & Noonan et al (2018) <doi:10.1111/2041-210X.13027>, Fleming et al (2019) <doi:10.1111/2041-21 [...truncated...]
Author: Christen H. Fleming [aut, cre], Justin M. Calabrese [aut], Xianghui Dong [ctb], Kevin Winner [ctb], Bjoern Reineking [ctb], Guillaume Peron [ctb], Michael J. Noonan [ctb], Bart Kranstauber [ctb], Eliezer Gurarie [ctb], Kamran Safi [ctb], Paul C. Cross [...truncated...]
Maintainer: Christen H. Fleming <flemingc@si.edu>

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Package BayesMallows updated to version 1.2.1 with previous version 1.2.0 dated 2022-05-24

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>; Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank model, both with the importance sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm (Mukherjee, Annals of Sta [...truncated...]
Author: Oystein Sorensen [aut, cre] , Valeria Vitelli [aut] , Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut], Anja Stein [aut], Waldir Leoncio [ctr]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Permanent link

Package ATNr updated to version 1.0.2 with previous version 1.0.1 dated 2022-02-07

Title: Run Allometric Trophic Networks Models
Description: Implements the differential equations associated to different versions of Allometric Trophic Models (ATN) to estimate the temporal dynamics of species biomasses in food webs. It offers several features to generate synthetic food webs and to parametrise models as well as a wrapper to the ODE solver deSolve.
Author: Benoit Gauzens [cre, aut], Emilio Berti [aut]
Maintainer: Benoit Gauzens <benoit.gauzens@gmail.com>

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

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

2022-08-15 0.2.0
2022-04-20 0.1.0

Permanent link
Package vcr updated to version 1.1.0 with previous version 1.0.2 dated 2021-05-31

Title: Record 'HTTP' Calls to Disk
Description: Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
Author: Scott Chamberlain [aut, cre] , Aaron Wolen [ctb] , Maelle Salmon [ctb] , rOpenSci [fnd]
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between vcr versions 1.0.2 dated 2021-05-31 and 1.1.0 dated 2022-11-04

 DESCRIPTION                                           |   10 
 LICENSE                                               |    2 
 MD5                                                   |  115 ++--
 NEWS.md                                               |   16 
 R/cassette_class.R                                    |    2 
 R/cpp11.R                                             |    2 
 R/error_suggestions.R                                 |    2 
 R/http_interaction_list.R                             |    4 
 R/request_class.R                                     |   27 
 R/request_matcher_registry.R                          |    8 
 R/response_class.R                                    |   11 
 R/serializer.R                                        |   12 
 R/vcr_test_path.R                                     |   11 
 R/write.R                                             |   11 
 build/vignette.rds                                    |binary
 inst/doc/cassette-manual-editing.html                 |  491 +++++++++---------
 inst/doc/configuration.html                           |  310 ++++++-----
 inst/doc/debugging.html                               |  270 +++++----
 inst/doc/design.html                                  |  163 ++++-
 inst/doc/internals.html                               |  190 +++---
 inst/doc/lightswitch.html                             |  271 +++++----
 inst/doc/record-modes.html                            |  230 ++++----
 inst/doc/request_matching.html                        |  250 +++++----
 inst/doc/vcr.html                                     |  426 +++++++++------
 inst/doc/write-to-disk.html                           |  229 ++++----
 man/Cassette.Rd                                       |  174 +++---
 man/FileSystem.Rd                                     |   30 -
 man/HTTPInteraction.Rd                                |   24 
 man/HTTPInteractionList.Rd                            |   42 -
 man/Hooks.Rd                                          |   24 
 man/JSON.Rd                                           |   30 -
 man/Persisters.Rd                                     |   12 
 man/Request.Rd                                        |   24 
 man/RequestHandler.Rd                                 |   18 
 man/RequestHandlerCrul.Rd                             |   22 
 man/RequestHandlerHttr.Rd                             |   26 
 man/RequestIgnorer.Rd                                 |   42 -
 man/RequestMatcherRegistry.Rd                         |   30 -
 man/Serializer.Rd                                     |   24 
 man/Serializers.Rd                                    |   12 
 man/UnhandledHTTPRequestError.Rd                      |  126 ++--
 man/VcrResponse.Rd                                    |   80 +-
 man/YAML.Rd                                           |   30 -
 man/check_cassette_names.Rd                           |   15 
 man/insert_cassette.Rd                                |   15 
 man/lightswitch.Rd                                    |   68 +-
 man/request-matching.Rd                               |   30 -
 man/rmdhunks/vcr-design.Rmd                           |    4 
 man/vcr_configure.Rd                                  |    6 
 man/vcr_test_path.Rd                                  |    3 
 src/cpp11.cpp                                         |    7 
 tests/testthat/test-ause_cassette_match_query.R       |only
 tests/testthat/test-httr.R                            |    2 
 tests/testthat/test-quiet.R                           |   13 
 tests/testthat/test-response_summary.R                |   11 
 tests/testthat/test-utils.R                           |   23 
 tests/testthat/test-vcr_last_error.R                  |    2 
 tests/testthat/test-vcr_test_path.R                   |   46 +
 tests/testthat/test-write_disk_path_package_context.R |    4 
 59 files changed, 2322 insertions(+), 1760 deletions(-)

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Package topr updated to version 1.1.1 with previous version 1.1.0 dated 2022-10-25

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Genuity Science [cph], Thorhildur Juliusdottir [aut, cre], Andri Stefansson [aut]
Maintainer: Thorhildur Juliusdottir <thorhildur@genuitysci.com>

Diff between topr versions 1.1.0 dated 2022-10-25 and 1.1.1 dated 2022-11-04

 topr-1.1.0/topr/tests/testthat/test-dummy.R         |only
 topr-1.1.1/topr/DESCRIPTION                         |    6 +++---
 topr-1.1.1/topr/MD5                                 |   18 +++++++++++-------
 topr-1.1.1/topr/NEWS.md                             |    5 +++++
 topr-1.1.1/topr/R/get_plots.R                       |    8 ++++++--
 topr-1.1.1/topr/R/manhattan.R                       |   15 ++++++++++++++-
 topr-1.1.1/topr/R/plot_functions.R                  |    8 ++++----
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 topr-1.1.1/topr/tests/testthat/test-utils.R         |only
 13 files changed, 47 insertions(+), 18 deletions(-)

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Package FADPclust updated to version 1.1.0 with previous version 0.1.0 dated 2021-10-08

Title: Functional Data Clustering Using Adaptive Density Peak Detection
Description: An implementation of a clustering algorithm for functional data based on adaptive density peak detection technique, in which the density is estimated by functional k-nearest neighbor density estimation based on a proposed semi-metric between functions. The proposed functional data clustering algorithm is computationally fast since it does not need iterative process. (Alex Rodriguez and Alessandro Laio (2014) <doi:10.1126/science.1242072>; Xiao-Feng Wang and Yifan Xu (2016) <doi:10.1177/0962280215609948>).
Author: Rui Ren [aut, cre], Kuangnan Fang [aut], Qingzhao Zhang [aut], Xiaofeng Wang [aut]
Maintainer: Rui Ren <xmurr@stu.xmu.edu.cn>

Diff between FADPclust versions 0.1.0 dated 2021-10-08 and 1.1.0 dated 2022-11-04

 DESCRIPTION        |   18 ++-
 MD5                |   16 +--
 NAMESPACE          |    1 
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 R/FADPplot.R       |   25 ++--
 R/FADPsummary.R    |   23 ++--
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 man/FADPsummary.Rd |   23 ++--
 9 files changed, 244 insertions(+), 199 deletions(-)

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Package partialised updated to version 0.1.1 with previous version 0.1.0 dated 2022-05-04

Title: Partialised Functions
Description: Provides a 'partialised' class that extends the partialising function of 'purrr' by making it easier to change the arguments. This is similar to the function-like object in 'Julia' (<https://docs.julialang.org/en/v1/manual/methods/#Function-like-objects>).
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

Diff between partialised versions 0.1.0 dated 2022-05-04 and 0.1.1 dated 2022-11-04

 DESCRIPTION                       |    8 
 MD5                               |   14 -
 NEWS.md                           |   12 -
 R/partialised-package.R           |    8 
 R/partialised.R                   |  385 ++++++++++++++++++--------------------
 R/utils.R                         |   16 -
 README.md                         |  144 +++++++-------
 tests/testthat/test-partialised.R |   34 +--
 8 files changed, 305 insertions(+), 316 deletions(-)

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Package edecob updated to version 1.2.2 with previous version 1.2.1 dated 2022-10-25

Title: Event Detection Using Confidence Bounds
Description: Detects sustained change in digital bio-marker data using simultaneous confidence bands. Accounts for noise using an auto-regressive model. Based on Buehlmann (1998) "Sieve bootstrap for smoothing in nonstationary time series" <doi:10.1214/aos/1030563978>.
Author: Zheng Chen Man [aut, cre]
Maintainer: Zheng Chen Man <zheng.chen.man@alumni.ethz.ch>

Diff between edecob versions 1.2.1 dated 2022-10-25 and 1.2.2 dated 2022-11-04

 DESCRIPTION   |    6 +++---
 MD5           |    8 ++++----
 R/edecob.R    |   15 ++++++---------
 R/plot.R      |    2 +-
 man/edecob.Rd |   15 ++++++---------
 5 files changed, 20 insertions(+), 26 deletions(-)

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Package RSiena updated to version 1.3.14 with previous version 1.3.13 dated 2022-10-07

Title: Siena - Simulation Investigation for Empirical Network Analysis
Description: The main purpose of this package is to perform simulation-based estimation of stochastic actor-oriented models for longitudinal network data collected as panel data. Dependent variables can be single or multivariate networks, which can be directed, non-directed, or two-mode; and associated actor variables. There are also functions for testing parameters and checking goodness of fit. An overview of these models is given in Tom A.B. Snijders (2017), Stochastic Actor-Oriented Models for Network Dynamics, Annual Review of Statistics and Its Application, 4, 343-363 <doi: 10.1146/annurev-statistics-060116-054035>. An extensive manual, scripts, and much further information is at the Siena website <http://www.stats.ox.ac.uk/~snijders/siena/>.
Author: Tom A.B. Snijders [cre, aut] , Ruth Ripley [aut], Krists Boitmanis [aut, ctb], Christian Steglich [aut, ctb] , Johan Koskinen [aut, ctb] , Nynke Niezink [aut, ctb] , Viviana Amati [aut, ctb] , Christoph Stadtfeld [ctb] , James Hollway [ctb] , Per Blo [...truncated...]
Maintainer: Tom A.B. Snijders <tom.snijders@nuffield.ox.ac.uk>

Diff between RSiena versions 1.3.13 dated 2022-10-07 and 1.3.14 dated 2022-11-04

 DESCRIPTION  |    6 
 MD5          |    6 
 configure    | 2056 +++++++++++++++++++++++++++++++----------------------------
 configure.ac |    2 
 4 files changed, 1098 insertions(+), 972 deletions(-)

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New package rgeomstats with initial version 0.0.1
Package: rgeomstats
Title: Interface to 'Geomstats'
Version: 0.0.1
Description: Provides an interface to the Python package 'Geomstats' authored by Miolane et al. (2020) <arXiv:2004.04667>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
URL: https://github.com/LMJL-Alea/rgeomstats, https://lmjl-alea.github.io/rgeomstats/
BugReports: https://github.com/LMJL-Alea/rgeomstats/issues
Config/reticulate: list( packages = list( list(package = "geomstats") ) )
Imports: cli, purrr, R6, Rdpack, reticulate, rlang
NeedsCompilation: no
Packaged: 2022-11-03 21:11:20 UTC; stamm-a
Author: Aymeric Stamm [aut, cre] , Nicolas Guigui [ctb] , Alice Le Brigant [ctb] , Johan Mathe [ctb] , Nina Miolane [ctb] , Xavier Pennec [ctb] , Luis Pereira [ctb] , Yann Thanwerdas [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@math.cnrs.fr>
Repository: CRAN
Date/Publication: 2022-11-04 10:10:02 UTC

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New package mlmhelpr with initial version 0.1.0
Package: mlmhelpr
Title: Multilevel/Mixed Model Helper Functions
Version: 0.1.0
Description: A collection of miscellaneous helper function for running multilevel/mixed models in 'lme4'. This package aims to provide functions to compute common tasks when estimating multilevel models such as computing the intraclass correlation and design effect, centering variables, estimating the proportion of variance explained at each level, pseudo-R squared, random intercept and slope reliabilities, tests for homogeneity of variance at level-1, and cluster robust and bootstrap standard errors. The tests and statistics reported in the package are from Raudenbush & Bryk (2002, ISBN:9780761919049), Hox et al. (2018, ISBN:9781138121362), and Snijders & Bosker (2012, ISBN:9781849202015).
License: MIT + file LICENSE
URL: https://github.com/lrocconi/mlmhelpr
BugReports: https://github.com/lrocconi/mlmhelpr/issues
Depends: R (>= 2.10)
Imports: lme4, stats, utils, Rdpack, mathjaxr
Suggests: clubSandwich, testthat (>= 3.0.0), knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-03 20:21:36 UTC; lrocconi
Author: Louis Rocconi [aut, cre] , Anthony Schmidt [aut]
Maintainer: Louis Rocconi <lrocconi@utk.edu>
Repository: CRAN
Date/Publication: 2022-11-04 10:10:06 UTC

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New package ggalignment with initial version 1.0.1
Package: ggalignment
Title: Plots 'D&D'-Style Alignment Charts
Version: 1.0.1
Description: 'D&D' alignment charts show 9 boxes with values for good through evil and values for chaotic through lawful. This package easily creates these alignment charts from user-provided image paths and alignment values.
License: MIT + file LICENSE
Depends: R (>= 3.4)
Imports: dplyr (>= 1.0.0), ggimage (>= 0.2.0), ggplot2 (>= 3.3.0), magrittr (>= 1.0.0), rlang (>= 0.1.2)
Suggests: rmarkdown (>= 2.0.0), knitr (>= 1.0), testthat (>= 3.0.0), vdiffr (>= 1.0.0), roxygen2
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-03 22:30:33 UTC; aftoncoombs
Author: Afton Coombs [aut, cre, cph], Tan Ho [ctb]
Maintainer: Afton Coombs <aftoncoombs@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-04 10:20:02 UTC

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New package EcoEnsemble with initial version 1.0.1
Package: EcoEnsemble
Title: A General Framework for Combining Ecosystem Models
Version: 1.0.1
Description: Fit and sample from the ensemble model described in Spence et al (2018): "A general framework for combining ecosystem models"<https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12310>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.5.0)
Imports: methods, Rcpp, matrixcalc, RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), dplyr, ggplot2, reshape2, tibble, cowplot
LinkingTo: BH (>= 1.66.0), Rcpp, RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), mgcv
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-03 22:54:05 UTC; MS23
Author: Michael A. Spence [aut, cre] , James A. Martindale [aut] , Michael J. Thomson [aut]
Maintainer: Michael A. Spence <michael.spence@cefas.gov.uk>
Repository: CRAN
Date/Publication: 2022-11-04 10:20:05 UTC

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New package parttime with initial version 0.1.0
Package: parttime
Title: Partial Datetime Handling
Version: 0.1.0
Description: Datetimes and timestamps are invariably an imprecise notation, with any partial representation implying some amount of uncertainty. To handle this, 'parttime' provides classes for embedding partial missingness as a central part of its datetime classes. This central feature allows for more ergonomic use of datetimes for challenging datetime computation, including calculations of overlapping date ranges, imputations, and more thoughtful handling of ambiguity that arises from uncertain time zones. This package was developed first and foremost with pharmaceutical applications in mind, but aims to be agnostic to application to accommodate general use cases just as conveniently.
License: MIT + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/dgkf/parttime/issues
URL: https://dgkf.github.io/parttime/, https://github.com/dgkf/parttime
Depends: R (>= 3.6)
Imports: crayon, lubridate, methods, pillar, utils, vctrs (>= 0.2.0)
Suggests: dplyr, withr, testthat, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-11-03 19:16:31 UTC; root
Author: Doug Kelkhoff [aut, cre], Bill Denney [ctb]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-04 10:00:02 UTC

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New package mmodely with initial version 0.2.0
Package: mmodely
Version: 0.2.0
Date: 2022-11-02
Title: Modeling Multivariate Origins Determinants - Evolutionary Lineages in Ecology
Author: David M Schruth
Maintainer: David M Schruth <dschruth@anthropoidea.org>
Depends: R (>= 2.0.0),caper
Imports: stats, caroline, ape
Description: Perform multivariate modeling of evolved traits, with special attention to understanding the interplay of the multi-factorial determinants of their origins in complex ecological settings (Stephens, 2007 <doi:10.1016/j.tree.2006.12.003>). This software primarily concentrates on phylogenetic regression analysis, enabling implementation of tree transformation averaging and visualization functionality. Functions additionally support information theoretic approaches (Grueber, 2011 <doi:10.1111/j.1420-9101.2010.02210.x>; Garamszegi, 2011 <doi:10.1007/s00265-010-1028-7>) such as model averaging and selection of phylogenetic models. There are other numerous functions for visualizing confounded variables, plotting phylogenetic trees, as well as reporting and exporting modeling results. Lastly, as challenges to ecology are inherently multifarious, and therefore often multi-dataset, this package features several functions to support the identification, interpolation, merging, an [...truncated...]
License: Apache License
LazyLoad: yes
NeedsCompilation: no
Packaged: 2022-11-03 19:52:25 UTC; david
Repository: CRAN
Date/Publication: 2022-11-04 10:00:06 UTC

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New package ggbrain with initial version 0.8.0
Package: ggbrain
Title: Create Images of Volumetric Brain Data in NIfTI Format Using 'ggplot2' Syntax
Version: 0.8.0
Date: 2022-10-18
Maintainer: Michael Hallquist <michael.hallquist@gmail.com>
Description: A 'ggplot2'-consistent approach to generating 2D displays of volumetric brain imaging data. Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects, inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.
URL: https://michaelhallquist.github.io/ggbrain/
BugReports: https://github.com/michaelhallquist/ggbrain/issues
Depends: R (>= 3.5.0)
Imports: Matrix, RNifti, checkmate, data.table, dplyr, ggplot2, ggnewscale, ggrepel, glue, imager, patchwork, rlang, tibble, tidyr, tidyselect, Rcpp
Suggests: knitr, rmarkdown
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-03 12:46:32 UTC; hallquist
Author: Michael Hallquist [aut, cre]
Repository: CRAN
Date/Publication: 2022-11-04 09:30:02 UTC

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New package ardl.nardl with initial version 1.0.1
Package: ardl.nardl
Title: Linear and Nonlinear Autoregressive Distributed Lag Models
Version: 1.0.1
Date: 2022-10-20
Description: Estimate the linear and nonlinear autoregressive distributed lag (ARDL & NARDL) models and the corresponding error correction models, and test for longrun and short-run asymmetric. The Pesaran, Shin & Smith (2001) (<doi:10.1002/jae.616>) bounds test for level relationships is also provided. The 'ardl.nardl' package also performs short-run and longrun symmetric restrictions available at Shin et al. (2014) <doi:10.1007/978-1-4899-8008-3_9> and their corresponding tests.
Maintainer: Eric I. Otoakhia <otoakhiai@gmail.com>
Author: Eric I. Otoakhia [aut, cre]
Contact: <otoakhiai@gmail.com>
License: GPL (>= 2)
Depends: R(>= 3.5.0)
Suggests: dynamac(>= 0.1.11)
Imports: graphics(>= 4.2.1), dplyr(>= 1.0.10), rlist(>= 0.4.6.2), nardl(>= 0.1.6), stats(>= 4.2.1), car(>= 3.1-1), lmtest(>= 0.9-38), texreg(>= 1.38.6), stringr(>= 1.4.0), tseries(>= 0.10-51)
LazyData: true
Packaged: 2022-11-03 08:43:30 UTC; dell
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-11-04 09:20:02 UTC

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New package aisoph with initial version 0.1
Package: aisoph
Title: Additive Isotonic Proportional Hazards Model
Version: 0.1
Date: 2022-10-29
Description: Nonparametric estimation of additive isotonic covariate effects for proportional hazards model.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.1)
Depends: R (>= 4.2.0), Iso, survival
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-11-03 03:57:49 UTC; roy
Author: Yunro Chung [aut, cre]
Maintainer: Yunro Chung <yunro.chung@asu.edu>
Repository: CRAN
Date/Publication: 2022-11-04 09:10:02 UTC

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Package RcppSpdlog updated to version 0.0.9 with previous version 0.0.8 dated 2022-04-04

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C++ code. More explicit use via 'LinkingTo:' is also supported.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.8 dated 2022-04-04 and 0.0.9 dated 2022-11-04

 ChangeLog                                         |   45 
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 inst/include/spdlog/spdlog.h                      |   13 
 inst/include/spdlog/stopwatch.h                   |    1 
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Package netmeta updated to version 2.6-0 with previous version 2.5-0 dated 2022-07-11

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis and supporting Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <DOI:10.1002/jrsm.1058>; - net heat plot and design-based decomposition of Cochran's Q according to Krahn et al. (2013) <DOI:10.1186/1471-2288-13-35>; - measures characterizing the flow of evidence between two treatments by König et al. (2013) <DOI:10.1002/sim.6001>; - ranking of treatments (frequentist analogue of SUCRA) according to Rücker & Schwarzer (2015) <DOI:10.1186/s12874-015-0060-8>; - partial order of treatment rankings ('poset') and Hasse diagram for 'poset' (Carlsen & Bruggemann, 2014) <DOI:10.1002/cem.2569>; (Rücker & Schwarzer, 2017) <DOI:10.1002/jrsm.1270>; - split direct and indirect evidence to check consistency (Dias et al., 2010) <DOI:10.1002/sim.3767>, (Ef [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Guido Schwarzer [aut, cre]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between netmeta versions 2.5-0 dated 2022-07-11 and 2.6-0 dated 2022-11-04

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Package R6causal updated to version 0.7.0 with previous version 0.6.1 dated 2022-08-06

Title: R6 Class for Structural Causal Models
Description: The implemented R6 class 'SCM' aims to simplify working with structural causal models. The missing data mechanism can be defined as a part of the structural model. The class contains methods for 1) defining a structural causal model via functions, text or conditional probability tables, 2) printing basic information on the model, 3) plotting the graph for the model using packages 'igraph' or 'qgraph', 4) simulating data from the model, 5) applying an intervention, 6) checking the identifiability of a query using the R packages 'causaleffect' and 'dosearch', 7) defining the missing data mechanism, 8) simulating incomplete data from the model according to the specified missing data mechanism and 9) checking the identifiability in a missing data problem using the R package 'dosearch'. In addition, there are functions for running experiments and doing counterfactual inference using simulation.
Author: Juha Karvanen [aut, cre]
Maintainer: Juha Karvanen <juha.karvanen@iki.fi>

Diff between R6causal versions 0.6.1 dated 2022-08-06 and 0.7.0 dated 2022-11-04

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More information about R6causal at CRAN
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