Wed, 03 Jul 2024

Package LOST updated to version 2.1.1 with previous version 2.0.2 dated 2020-04-14

Title: Missing Morphometric Data Simulation and Estimation
Description: Functions for simulating missing morphometric data randomly, with taxonomic bias and with anatomical bias. LOST also includes functions for estimating linear and geometric morphometric data.
Author: J. Arbour, C. Brown
Maintainer: J. Arbour <jessica.arbour@mtsu.edu>

Diff between LOST versions 2.0.2 dated 2020-04-14 and 2.1.1 dated 2024-07-03

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More information about LOST at CRAN
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Package posterior updated to version 1.6.0 with previous version 1.5.0 dated 2023-10-31

Title: Tools for Working with Posterior Distributions
Description: Provides useful tools for both users and developers of packages for fitting Bayesian models or working with output from Bayesian models. The primary goals of the package are to: (a) Efficiently convert between many different useful formats of draws (samples) from posterior or prior distributions. (b) Provide consistent methods for operations commonly performed on draws, for example, subsetting, binding, or mutating draws. (c) Provide various summaries of draws in convenient formats. (d) Provide lightweight implementations of state of the art posterior inference diagnostics. References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Author: Paul-Christian Buerkner [aut, cre], Jonah Gabry [aut], Matthew Kay [aut], Aki Vehtari [aut], Mans Magnusson [ctb], Rok Česnovar [ctb], Ben Lambert [ctb], Ozan Adiguezel [ctb], Jacob Socolar [ctb], Noa Kallioinen [ctb]
Maintainer: Paul-Christian Buerkner <paul.buerkner@gmail.com>

Diff between posterior versions 1.5.0 dated 2023-10-31 and 1.6.0 dated 2024-07-03

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More information about posterior at CRAN
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Package locuszoomr updated to version 0.3.1 with previous version 0.3.0 dated 2024-04-16

Title: Gene Locus Plot with Gene Annotations
Description: Publication-ready regional gene locus plots similar to those produced by the web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in R. Genetic or genomic data with gene annotation tracks are plotted via R base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy customisation including laying out multiple locus plots on the same page. It uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query linkage disequilibrium data from the 1000 Genomes Project and can overlay this on plots.
Author: Myles Lewis [aut, cre]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between locuszoomr versions 0.3.0 dated 2024-04-16 and 0.3.1 dated 2024-07-03

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More information about locuszoomr at CRAN
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Package statGraph updated to version 1.0.2 with previous version 1.0.1 dated 2024-05-04

Title: Statistical Methods for Graphs
Description: Contains statistical methods to analyze graphs, such as graph parameter estimation, model selection based on the Graph Information Criterion, statistical tests to discriminate two or more populations of graphs, correlation between graphs, and clustering of graphs. References: Takahashi et al. (2012) <doi:10.1371/journal.pone.0049949>, Fujita et al. (2017) <doi:10.3389/fnins.2017.00066>, Fujita et al. (2017) <doi:10.1016/j.csda.2016.11.016>, Fujita et al. (2019) <doi:10.1093/comnet/cnz028>.
Author: Grover E. Castro Guzman [aut], Diogo R. da Costa [aut], Taiane C. Ramos [aut], Suzana S. Santos [aut], Eduardo S. Lira [aut], Andre Fujita [aut, cre]
Maintainer: Andre Fujita <andrefujita@usp.br>

Diff between statGraph versions 1.0.1 dated 2024-05-04 and 1.0.2 dated 2024-07-03

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Package PortfolioAnalytics updated to version 2.0.0 with previous version 1.1.0 dated 2018-05-17

Title: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Description: Portfolio optimization and analysis routines and graphics.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Ross Bennett [ctb, cph], Kris Boudt [ctb, cph], Xinran Zhao [ctb], R. Douglas Martin [ctb], Guy Yollin [ctb], Hezky Varon [ctb], Xiaokang Feng [ctb], Yifu Kang [ctb]
Maintainer: Brian G. Peterson <brian@braverock.com>

Diff between PortfolioAnalytics versions 1.1.0 dated 2018-05-17 and 2.0.0 dated 2024-07-03

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More information about PortfolioAnalytics at CRAN
Permanent link

Package loo updated to version 2.8.0 with previous version 2.7.0 dated 2024-02-24

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.
Author: Aki Vehtari [aut], Jonah Gabry [cre, aut], Mans Magnusson [aut], Yuling Yao [aut], Paul-Christian Buerkner [aut], Topi Paananen [aut], Andrew Gelman [aut], Ben Goodrich [ctb], Juho Piironen [ctb], Bruno Nicenboim [ctb], Leevi Lindgren [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 2.7.0 dated 2024-02-24 and 2.8.0 dated 2024-07-03

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Package GCalignR updated to version 1.0.7 with previous version 1.0.6 dated 2024-01-22

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

Diff between GCalignR versions 1.0.6 dated 2024-01-22 and 1.0.7 dated 2024-07-03

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Package BGVAR updated to version 2.5.6 with previous version 2.5.5 dated 2023-12-13

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 <doi:10.18 [...truncated...]
Author: Maximilian Boeck [aut, cre] , Martin Feldkircher [aut] , Florian Huber [aut] , Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@unibocconi.it>

Diff between BGVAR versions 2.5.5 dated 2023-12-13 and 2.5.6 dated 2024-07-03

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Package swfscDAS updated to version 0.6.3 with previous version 0.6.2 dated 2023-08-10

Title: Processing DAS Data Files
Description: Process and summarize DAS data files. These files are typically, but do not have to be DAS <https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-305.PDF> data produced by the Southwest Fisheries Science Center (SWFSC) program 'WinCruz'. This package standardizes and streamlines basic DAS data processing, and includes a PDF with the DAS data format requirements expected by the package.
Author: Sam Woodman [aut, cre]
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

Diff between swfscDAS versions 0.6.2 dated 2023-08-10 and 0.6.3 dated 2024-07-03

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New package SILFS with initial version 0.1.0
Package: SILFS
Title: Subgroup Identification with Latent Factor Structure
Version: 0.1.0
Author: Yong He [aut], Dong Liu [aut], Fuxin Wang [aut, cre], Mingjuan Zhang [aut], Wenxin Zhou [aut]
Maintainer: Fuxin Wang <wangfuxin2001@163.com>
Description: In various domains, many datasets exhibit both high variable dependency and group structures, which necessitates their simultaneous estimation. This package provides functions for two subgroup identification methods based on penalized functions, both of which utilize factor model structures to adapt to data with cross-sectional dependency. The first method is the Subgroup Identification with Latent Factor Structure Method (SILFSM) we proposed. By employing Center-Augmented Regularization and factor structures, the SILFSM effectively eliminates data dependencies while identifying subgroups within datasets. For this model, we offer optimization functions based on two different methods: Coordinate Descent and our newly developed Difference of Convex-Alternating Direction Method of Multipliers (DC-ADMM) algorithms; the latter can be applied to cases where the distance function in Center-Augmented Regularization takes L1 and L2 forms. The other method is the Factor-Adjusted Pairwise Fusion [...truncated...]
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: MASS, glmnet, stats, Ckmeans.1d.dp
NeedsCompilation: no
Packaged: 2024-07-03 07:37:39 UTC; 王福鑫
Repository: CRAN
Date/Publication: 2024-07-03 16:20:06 UTC

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New package dropR with initial version 1.0.3
Package: dropR
Version: 1.0.3
Title: Dropout Analysis by Condition
Description: Analysis and visualization of dropout between conditions in surveys and (online) experiments. Features include computation of dropout statistics, comparing dropout between conditions (e.g. Chi square), analyzing survival (e.g. Kaplan-Meier estimation), comparing conditions with the most different rates of dropout (Kolmogorov-Smirnov) and visualizing the result of each in designated plotting functions. Sources: Andrea Frick, Marie-Terese Baechtiger & Ulf-Dietrich Reips (2001) <https://www.researchgate.net/publication/223956222_Financial_incentives_personal_information_and_drop-out_in_online_studies>; Ulf-Dietrich Reips (2002) "Standards for Internet-Based Experimenting" <doi:10.1027//1618-3169.49.4.243>.
Depends: R (>= 3.0.0)
Imports: shiny, ggplot2, data.table, survival, lifecycle
Suggests: DT, shinydashboard, knitr, rmarkdown, kableExtra
Date: 2024-06-24
License: GPL (>= 3)
LazyData: true
URL: https://iscience-kn.github.io/dropR/, https://github.com/iscience-kn/dropR
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-07-03 09:38:39 UTC; Admin
Author: Annika Tave Overlander [aut, cre], Matthias Bannert [aut], Ulf-Dietrich Reips [ctb]
Maintainer: Annika Tave Overlander <annika-tave.overlander@uni.kn>
Repository: CRAN
Date/Publication: 2024-07-03 16:20:02 UTC

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New package rmstBayespara with initial version 0.1.0
Package: rmstBayespara
Title: Bayesian Restricted Mean Survival Time for Cluster Effect
Version: 0.1.0
Description: The parametric Bayes analysis for the restricted mean survival time (RMST) with cluster effect, as described in Hanada and Kojima (2024) <doi:10.48550/arXiv.2406.06071>. Bayes estimation with random-effect and frailty-effect can be applied to several parametric models useful in survival time analysis. The RMST under these parametric models can be computed from the obtained posterior samples.
License: GPL (>= 3)
Depends: R (>= 3.4.0)
Imports: brms (>= 2.21.0), crayon (>= 1.5.0), loo (>= 2.7.0), methods, rstan (>= 2.32.0), stats (>= 4.3.0), zipfR (>= 0.6.7)
Biarch: true
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-07-03 00:22:44 UTC; keihb
Author: Keisuke Hanada [aut, cre] , Masahiro Kojima [aut]
Maintainer: Keisuke Hanada <keisuke.hanada.87@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-03 16:00:02 UTC

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New package ntsDatasets with initial version 0.1.0
Package: ntsDatasets
Title: Neutrosophic Data Sets
Version: 0.1.0
Maintainer: Amin Roshani <roshani.amin@gmail.com>
Description: Provides a collection of datasets related to neutrosophic sets for statistical modeling and analysis.
License: GPL-3
URL: https://github.com/a-roshani/ntsDatasets
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2024-07-02 17:03:21 UTC; minan
Author: Amin Roshani [aut, cre] , Mina Norouzirad [aut] , Danial Mazarei [aut] , FCT, I.P. [fnd] )
Repository: CRAN
Date/Publication: 2024-07-03 16:00:05 UTC

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New package nonsmooth with initial version 1.0.0
Package: nonsmooth
Title: Nonparametric Methods for Smoothing Nonsmooth Data
Version: 1.0.0
Imports: stats, np, graphics, reshape2
Maintainer: John R.J. Thompson <john.thompson@ubc.ca>
Description: Nonparametric methods for smoothing regression function data with change-points, utilizing range kernels for iterative and anisotropic smoothing methods. For further details, see the paper by John R.J. Thompson (2024) <doi:10.1080/02664763.2024.2352759>.
License: CC BY 4.0
URL: https://github.com/jrjthompson/R-package-nonsmooth/
BugReports: https://github.com/jrjthompson/R-package-nonsmooth/issues
Depends: R (>= 3.5.0)
Repository: CRAN
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-07-02 22:10:34 UTC; jthomp14
Author: John R.J. Thompson [aut, cre]
Date/Publication: 2024-07-03 16:00:09 UTC

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New package neuroimaGene with initial version 0.1.0
Package: neuroimaGene
Title: Transcriptomic Atlas of Neuroimaging Derived Phenotypes
Version: 0.1.0
Maintainer: Xavier Bledsoe <xavier.bledsoe@vanderbilt.edu>
Description: Contains functions to query and visualize the Neuroimaging features associated with genetically regulated gene expression (GReX). The primary utility, neuroimaGene(), relies on a list of user-defined genes and returns a table of neuroimaging features (NIDPs) associated with each gene. This resource is designed to assist in the interpretation of genome-wide and transcriptome-wide association studies that evaluate brain related traits. Bledsoe (2024) <doi:10.1016/j.ajhg.2024.06.002>. In addition there are several visualization functions that generate summary plots and 2-dimensional visualizations of regional brain measures. Mowinckel (2020).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, DBI, stringr, ggseg, RSQLite
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-02 16:43:17 UTC; xbledsoe
Author: Xavier Bledsoe [aut, cre] , Eric Gamazon [aut]
Repository: CRAN
Date/Publication: 2024-07-03 15:50:02 UTC

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Package cmsafvis updated to version 1.2.8 with previous version 1.2.7 dated 2024-05-03

Title: Tools to Visualize CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre], Danny Parsons [ctb]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package TKCat updated to version 1.1.11 with previous version 1.1.8 dated 2024-05-23

Title: Tailored Knowledge Catalog
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detail data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored an shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package r4ds.tutorials updated to version 0.3.0 with previous version 0.2.0 dated 2024-02-22

Title: Tutorials for "R for Data Science"
Description: When assigned "R for Data Science" (Wickham, Çetinkaya-Rundel, and Grolemund (2023, ISBN: 1492097402)), students should read the book and type in all the associated R commands themselves. Sadly, that never happens. These tutorials allow students to demonstrate (and their instructors to be sure) that all work has been completed. See Kane (2023) <https://ppbds.github.io/tutorial.helpers/articles/instructions.html> from the 'tutorial.helpers' package for a background discussion.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

Diff between r4ds.tutorials versions 0.2.0 dated 2024-02-22 and 0.3.0 dated 2024-07-03

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Package TMB updated to version 1.9.14 with previous version 1.9.13 dated 2024-06-28

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

Diff between TMB versions 1.9.13 dated 2024-06-28 and 1.9.14 dated 2024-07-03

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 4 files changed, 16 insertions(+), 10 deletions(-)

More information about TMB at CRAN
Permanent link

Package taxlist updated to version 0.3.0 with previous version 0.2.4 dated 2023-03-12

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg/>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented as summary-methods.
Author: Miguel Alvarez [aut, cre] , Zachary Foster [ctb] , Sam Levin [rev], Margaret Siple [rev]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

Diff between taxlist versions 0.2.4 dated 2023-03-12 and 0.3.0 dated 2024-07-03

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Permanent link

New package scellpam with initial version 1.4.6.1
Package: scellpam
Title: Applying Partitioning Around Medoids to Single Cell Data with High Number of Cells
Version: 1.4.6.1
Date: 2024-07-01
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>
Description: PAM (Partitioning Around Medoids) algorithm application to samples of single cell sequencing techniques with a high number of cells (as many as the computer memory allows). The package uses a binary format to store matrices (either full, sparse or symmetric) in files written in the disk that can contain any data type (not just double) which allows its manipulation when memory is sufficient to load them as int or float, but not as double. The PAM implementation is done in parallel, using several/all the cores of the machine, if it has them. This package shares a great part of its code with packages 'jmatrix' and 'parallelpam' but their functionality is included here so there is no need to install them.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.8), memuse (>= 4.2.1), cluster (>= 2.1.4)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: rmarkdown, knitr, scater, splatter
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-07-01 21:31:29 UTC; jdomingo
Repository: CRAN
Date/Publication: 2024-07-03 12:30:02 UTC

More information about scellpam at CRAN
Permanent link

Package NMsim updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-22

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface from within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating time spent and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre]
Maintainer: Philip Delff <philip@delff.dk>

Diff between NMsim versions 0.1.0 dated 2024-02-22 and 0.1.1 dated 2024-07-03

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More information about NMsim at CRAN
Permanent link

Package lme4 updated to version 1.1-35.5 with previous version 1.1-35.4 dated 2024-06-19

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut, cre] , Steven Walker [aut] , Rune Haubo Bojesen Christensen [ctb] , Henrik Singmann [ctb] , Bin Dai [ctb], Fabian Scheipl [ctb] , Gabor Grothendieck [ctb], Peter Green [ctb] , John Fox [c [...truncated...]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

Diff between lme4 versions 1.1-35.4 dated 2024-06-19 and 1.1-35.5 dated 2024-07-03

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More information about lme4 at CRAN
Permanent link

Package future.mirai updated to version 0.2.2 with previous version 0.2.1 dated 2024-05-15

Title: A 'Future' API for Parallel Processing using 'mirai'
Description: Implementation of the 'Future' API <doi:10.32614/RJ-2021-048> on top of the 'mirai' package <doi:10.5281/zenodo.7912722>. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, on your local machine or across remote machines. Contrary to back-ends relying on the 'parallel' package (e.g. 'multisession') and socket connections, 'mirai_cluster' and 'mirai_multisession', provided here, can run more than 125 parallel R processes.
Author: Henrik Bengtsson [aut, cre, cph] , Charlie Gao [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.mirai versions 0.2.1 dated 2024-05-15 and 0.2.2 dated 2024-07-03

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More information about future.mirai at CRAN
Permanent link

Package tidyfinance updated to version 0.2.1 with previous version 0.2.0 dated 2024-05-29

Title: Tidy Finance Helper Functions
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
Author: Christoph Scheuch [aut, cre] , Stefan Voigt [aut] , Patrick Weiss [aut]
Maintainer: Christoph Scheuch <christoph.scheuch@gmail.com>

Diff between tidyfinance versions 0.2.0 dated 2024-05-29 and 0.2.1 dated 2024-07-03

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Package weyl updated to version 0.0-5 with previous version 0.0-4 dated 2023-09-29

Title: The Weyl Algebra
Description: A suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses 'disordR' discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between weyl versions 0.0-4 dated 2023-09-29 and 0.0-5 dated 2024-07-03

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Package seededlda updated to version 1.3.2 with previous version 1.3.1 dated 2024-06-25

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between seededlda versions 1.3.1 dated 2024-06-25 and 1.3.2 dated 2024-07-03

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Package RCPA updated to version 0.2.3 with previous version 0.2.2 dated 2024-04-15

Title: Consensus Pathway Analysis
Description: Provides a set of functions to perform pathway analysis and meta analysis from multiple gene expression datasets, as well as visualization of the results (Nguyen et al. (2024) <doi:10.1002/cpz1.1036>). The package is a wrapper of the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu, Z. (2012) <https://CRAN.R-project.org/package=CePa>.
Author: Ha Nguyen [aut, cre], Phi Bya [aut], Zeynab Maghsoudi [aut], Tin Nguyen [fnd]
Maintainer: Ha Nguyen <hvn0006@auburn.edu>

Diff between RCPA versions 0.2.2 dated 2024-04-15 and 0.2.3 dated 2024-07-03

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Package omopgenerics updated to version 0.2.3 with previous version 0.2.2 dated 2024-06-19

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb] , Nuria Mercade-Besora [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between omopgenerics versions 0.2.2 dated 2024-06-19 and 0.2.3 dated 2024-07-03

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New package metajam with initial version 0.3.0
Package: metajam
Title: Easily Download Data and Metadata from 'DataONE'
Version: 0.3.0
Date: 2024-07-02
Maintainer: Julien Brun <julien.brun@alumni.duke.edu>
Description: A set of tools to foster the development of reproducible analytical workflow by simplifying the download of data and metadata from 'DataONE' (<https://www.dataone.org>) and easily importing this information into R.
License: Apache License (== 2.0)
Encoding: UTF-8
Language: en-US
SystemRequirements: Mac OSX: redland (>= 1.0.14) ; Linux: librdf0 (>= 1.0.14), librdf0-dev (>= 1.0.14)
URL: https://nceas.github.io/metajam/
BugReports: https://github.com/nceas/metajam/issues
Depends: R (>= 3.6.0)
Imports: dataone, dplyr, EML, emld, lubridate, purrr, readr, stats, stringr, tibble, tidyr, XML
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-02 22:45:13 UTC; jb160-local
Author: Julien Brun [cre, aut] , Irene Steves [aut] , Mitchell Maier [aut] , Kristen Peach [aut] , Nicholas Lyon [aut] , Nathan Hwangbo [ctb] , Derek Strong [ctb] , Colin Smith [ctb] , Regents of the University of California [cph]
Repository: CRAN
Date/Publication: 2024-07-03 07:20:05 UTC

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Package heiscore updated to version 0.1.1 with previous version 0.0.1 dated 2024-05-10

Title: Score and Plot the Healthy Eating Index from NHANES Data
Description: Calculate and visualize Healthy Eating Index (HEI) scores from National Health and Nutrition Examination Survey 24-hour dietary recall data utilizing three methods recommended by the National Cancer Institute (2024) <https://epi.grants.cancer.gov/hei/hei-methods-and-calculations.html#:~:text=To%20use%20the%20simple%20HEI,the%20total%20scores%20across%20individuals.>. Effortlessly analyze HEI scores across different demographic groups and years.
Author: Vijetha Ramdas [aut, cre], Berkeley Ho [aut], Abhra Sarkar [aut]
Maintainer: Vijetha Ramdas <vramdas06@gmail.com>

Diff between heiscore versions 0.0.1 dated 2024-05-10 and 0.1.1 dated 2024-07-03

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Package gadget3 updated to version 0.12-1 with previous version 0.11-1 dated 2024-03-19

Title: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3
Description: A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
Author: Jamie Lentin [aut, cre] , Bjarki Thor Elvarsson [aut] , William Butler [aut] , Marine and Freshwater Research Institute [cph]
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>

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Package fdapace updated to version 0.6.0 with previous version 0.5.9 dated 2022-08-16

Title: Functional Data Analysis and Empirical Dynamics
Description: A versatile package that provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm. This core algorithm yields covariance and mean functions, eigenfunctions and principal component (scores), for both functional data and derivatives, for both dense (functional) and sparse (longitudinal) sampling designs. For sparse designs, it provides fitted continuous trajectories with confidence bands, even for subjects with very few longitudinal observations. PACE is a viable and flexible alternative to random effects modeling of longitudinal data. There is also a Matlab version (PACE) that contains some methods not available on fdapace and vice versa. Updates to fdapace were supported by grants from [...truncated...]
Author: Yidong Zhou [cre, aut] , Han Chen [aut], Su I Iao [aut], Poorbita Kundu [aut], Hang Zhou [aut], Satarupa Bhattacharjee [aut], Cody Carroll [aut] , Yaqing Chen [aut], Xiongtao Dai [aut], Jianing Fan [aut], Alvaro Gajardo [aut], Pantelis Z. Hadjipantel [...truncated...]
Maintainer: Yidong Zhou <ydzhou@ucdavis.edu>

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Package crypto2 updated to version 2.0.1 with previous version 2.0.0 dated 2024-06-13

Title: Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. All data is scraped from <https://coinmarketcap.com> via their 'web-api'.
Author: Sebastian Stoeckl [aut, cre] , Jesse Vent [ctb]
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 2.0.0 dated 2024-06-13 and 2.0.1 dated 2024-07-03

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Package arcgisgeocode updated to version 0.2.0 with previous version 0.1.0 dated 2024-05-25

Title: A Robust Interface to ArcGIS 'Geocoding Services'
Description: A very fast and robust interface to ArcGIS 'Geocoding Services'. Provides capabilities for reverse geocoding, finding address candidates, character-by-character search autosuggestion, and batch geocoding. The public 'ArcGIS World Geocoder' is accessible for free use via 'arcgisgeocode' for all services except batch geocoding. 'arcgisgeocode' also integrates with 'arcgisutils' to provide access to custom locators or private 'ArcGIS World Geocoder' hosted on 'ArcGIS Enterprise'. Learn more in the 'Geocode service' API reference <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

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Package ARDECO (with last version 1.0.1) was removed from CRAN

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

2024-06-05 1.0.1

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Package eurlex updated to version 0.4.8 with previous version 0.4.7 dated 2024-02-27

Title: Retrieve Data on European Union Law
Description: Access to data on European Union laws and court decisions made easy with pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021) <doi:10.1080/2474736X.2020.1870150> .
Author: Michal Ovadek [aut, cre, cph]
Maintainer: Michal Ovadek <michal.ovadek@gmail.com>

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Package effectsize updated to version 0.8.9 with previous version 0.8.8 dated 2024-05-12

Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Remi Theriault [aut] , Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] , Jessica Burnett [rev] , Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>

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Package OPI updated to version 3.0.1 with previous version 2.11.2 dated 2024-01-24

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

Diff between OPI versions 2.11.2 dated 2024-01-24 and 3.0.1 dated 2024-07-03

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 150 files changed, 831 insertions(+), 2115 deletions(-)

More information about OPI at CRAN
Permanent link

Package mapme.biodiversity updated to version 0.8.0 with previous version 0.7.0 dated 2024-05-31

Title: Efficient Monitoring of Global Biodiversity Portfolios
Description: Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
Author: Darius A. Goergen [aut, cre], Om Prakash Bhandari [aut]
Maintainer: Darius A. Goergen <darius2402@web.de>

Diff between mapme.biodiversity versions 0.7.0 dated 2024-05-31 and 0.8.0 dated 2024-07-03

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 mapme.biodiversity-0.7.0/mapme.biodiversity/R/get_nasa_firms.R                                        |only
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 mapme.biodiversity-0.8.0/mapme.biodiversity/DESCRIPTION                                               |   25 
 mapme.biodiversity-0.8.0/mapme.biodiversity/MD5                                                       |  368 ++----
 mapme.biodiversity-0.8.0/mapme.biodiversity/NAMESPACE                                                 |   11 
 mapme.biodiversity-0.8.0/mapme.biodiversity/NEWS.md                                                   |   33 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_biome.R                                            |    4 
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 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_ecoregion.R                                        |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_elevation.R                                        |    5 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_fatalities.R                                       |   16 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_gsw_change.R                                       |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_gsw_occurrence.R                                   |    6 
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 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_gsw_seasonality.R                                  |    7 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_gsw_transitions.R                                  |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_indicators.R                                       |  132 --
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_landcover.R                                        |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_mangroves_area.R                                   |    8 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_population_count.R                                 |    8 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_precipitation_chirps.R                             |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_precipitation_wc.R                                 |    4 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_soilproperties.R                                   |   57 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_temperature_max_wc.R                               |    3 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_temperature_min_wc.R                               |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_traveltime.R                                       |   10 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_treecover_area.R                                   |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_treecover_area_and_emissions.R                     |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_treecoverloss_emissions.R                          |    6 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/calc_tri.R                                              |   24 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_chirps.R                                            |   62 -
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_esalandcover.R                                      |   49 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_fritz_et_al.R                                       |   53 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_gfw_emissions.R                                     |   27 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_gfw_lossyear.R                                      |   19 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_gfw_treecover.R                                     |   19 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_gmw.R                                               |   99 -
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 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_nelson_et_al.R                                      |   35 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_resources.R                                         |  144 +-
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_soilgrids.R                                         |   64 -
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_teow.R                                              |   48 
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_ucdp_ged.R                                          |   64 -
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_worldclim.R                                         |   73 -
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/get_worldpop.R                                          |   84 -
 mapme.biodiversity-0.8.0/mapme.biodiversity/R/portfolio.R                                             |   90 +
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