Thu, 04 Jul 2024

Package RcppCGAL updated to version 5.6.4 with previous version 5.6.3 dated 2024-04-30

Title: 'Rcpp' Integration for 'CGAL'
Description: Creates a header only package to link to the 'CGAL' (Computational Geometry Algorithms Library) header files in 'Rcpp'. There are a variety of potential uses for the software such as Hilbert sorting, K-D Tree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently downloads version 5.6.1 of the 'CGAL' header files.
Author: Eric Dunipace [aut, cre] , Tyler Morgan-Wall [ctb], The CGAL Project [cph]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package MultiObjMatch updated to version 1.0.0 with previous version 0.1.3 dated 2023-11-23

Title: Multi-Objective Matching Algorithm
Description: Matching algorithm based on network-flow structure. Users are able to modify the emphasis on three different optimization goals: two different distance measures and the number of treated units left unmatched. The method is proposed by Pimentel and Kelz (2019) <doi:10.1080/01621459.2020.1720693>. The 'rrelaxiv' package, which provides an alternative solver for the underlying network flow problems, carries an academic license and is not available on CRAN, but may be downloaded from Github at <https://github.com/josherrickson/rrelaxiv/>.
Author: Shichao Han [cre, aut], Samuel D. Pimentel [aut]
Maintainer: Shichao Han <schan21@berkeley.edu>

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Package HotellingEllipse updated to version 1.2.0 with previous version 1.1.0 dated 2022-06-24

Title: Hotelling’s T-Squared Statistic and Ellipse
Description: Functions to calculate the Hotelling’s T-squared statistic and corresponding confidence ellipses. Provides the semi-axes of the Hotelling’s T-squared ellipses at 95% and 99% confidence levels. Enables users to obtain the coordinates in two or three dimensions at user-defined confidence levels, allowing for the construction of 2D or 3D ellipses with customized confidence levels. Bro and Smilde (2014) <DOI:10.1039/c3ay41907j>. Brereton (2016) <DOI:10.1002/cem.2763>.
Author: Christian L. Goueguel [aut, cre]
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>

Diff between HotellingEllipse versions 1.1.0 dated 2022-06-24 and 1.2.0 dated 2024-07-04

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New package wTO with initial version 2.1
Package: wTO
Title: Computing Weighted Topological Overlaps (wTO) & Consensus wTO Network
Version: 2.1
Author: Deisy Morselli Gysi, Andre Voigt, Tiago Miranda Fragoso, Eivind Almaas and Katja Nowick.
Maintainer: Deisy Morselli Gysi <deisy.ccnr@gmail.com>
Description: Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks. More about the methodology can be found at <doi:10.1186/s12859-018-2351-7>.
License: GPL-2
LazyData: TRUE
Imports: data.table, igraph, magrittr, plyr, parallel, som, visNetwork, reshape2, Rfast, HiClimR, methods
Suggests: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-07-04 19:54:14 UTC; deisygysi
Repository: CRAN
Date/Publication: 2024-07-04 22:40:01 UTC

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Package traj updated to version 2.2.0 with previous version 2.1.0 dated 2024-03-28

Title: Clustering of Functional Data Based on Measures of Change
Description: Implements a three-step procedure in the spirit of Leffondre et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) computing a number of "measures of change" capturing various features of the trajectories; (2) using a Principal Component Analysis based dimension reduction algorithm to select a subset of measures and (3) using the k-means clustering algorithm to identify clusters of trajectories.
Author: Marie-Pierre Sylvestre [aut], Laurence Boulanger [aut, cre], Gillis Delmas Tchouangue Dinkou [ctb], Dan Vatnik [ctb]
Maintainer: Laurence Boulanger <laurence.boulanger@umontreal.ca>

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Package timeless updated to version 0.2.3 with previous version 0.2.2 dated 2024-07-02

Title: Fast General Purpose Date/Time Converter
Description: Fast general purpose date/time converter using 'Rust'. The package implements date time, date and epoch time parser for heterogeneous vectors of dates.
Author: David Schoch [aut, cre] , Rollie Ma [ctb, cph] , Brandon W. Maister [ctb, cph] , Dirkjan Ochtman [ctb, cph] , Seonghoon Kang [ctb, cph] , Eric Sheppard [ctb, cph] , Paul Dicker [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>

Diff between timeless versions 0.2.2 dated 2024-07-02 and 0.2.3 dated 2024-07-04

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Package ready4 updated to version 0.1.14 with previous version 0.1.9 dated 2024-04-16

Title: Develop and Use Modular Health Economic Models
Description: A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
Author: Matthew Hamilton [aut, cre, cph] , Orygen [cph, fnd], Australian Government Research Training Program [fnd], VicHealth [fnd], Victoria University [fnd]
Maintainer: Matthew Hamilton <matthew.hamilton1@monash.edu>

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Package PenCoxFrail updated to version 2.0.0 with previous version 1.0.1 dated 2016-05-06

Title: Regularization in Cox Frailty Models
Description: Different regularization approaches for Cox Frailty Models by penalization methods are provided.
Author: Andreas Groll
Maintainer: Andreas Groll <groll@statistik.tu-dortmund.de>

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Package cpp11armadillo updated to version 0.2.8 with previous version 0.2.5 dated 2024-05-14

Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing.
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

Diff between cpp11armadillo versions 0.2.5 dated 2024-05-14 and 0.2.8 dated 2024-07-04

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Package databraryr (with last version 0.6.5) was removed from CRAN

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

2024-07-01 0.6.5
2024-04-18 0.6.4
2024-03-26 0.6.3
2024-03-15 0.6.2
2024-02-22 0.6.1
2024-02-09 0.6.0
2023-11-22 0.5.1
2023-10-24 0.5.0

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Package streamConnect (with last version 0.0-6) was removed from CRAN

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

2024-06-20 0.0-6
2024-06-13 0.0-4
2024-06-12 0.0-3
2024-05-19 0.0-2
2024-05-17 0.0-1

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New package FLightR with initial version 0.5.5
Package: FLightR
Title: Reconstruct Animal Paths from Solar Geolocation Loggers Data
Version: 0.5.5
Date: 2024-06-28
Description: Spatio-temporal locations of an animal are computed from annotated data with a hidden Markov model via particle filter algorithm. The package is relatively robust to varying degrees of shading. The hidden Markov model is described in Movement Ecology - Rakhimberdiev et al. (2015) <doi:10.1186/s40462-015-0062-5>, general package description is in the Methods in Ecology and Evolution - Rakhimberdiev et al. (2017) <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.
URL: https://CRAN.R-project.org/package=FLightR
BugReports: https://github.com/eldarrak/FLightR/issues
Depends: R (>= 4.1.0)
Imports: bit, geosphere, ggmap, ggplot2, CircStats, circular, fields, maps, mgcv, nlme, parallel, RcppArmadillo, sf, suntools, truncnorm
License: GPL-3
ByteCompile: true
Encoding: UTF-8
Suggests: covr, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-04 11:15:15 UTC; eldar
Author: Eldar Rakhimberdiev [aut, cre], Anatoly Saveliev [aut], Julia Karagicheva [aut], Simeon Lisovski [ctb], Johannes de Groeve [ctb]
Maintainer: Eldar Rakhimberdiev <eldar.rakhimberdiev@uva.nl>
Repository: CRAN
Date/Publication: 2024-07-04 17:10:06 UTC

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New package circhelp with initial version 1.1
Package: circhelp
Title: Circular Analyses Helper Functions
Version: 1.1
Description: Light-weight functions for computing descriptive statistics in different circular spaces (e.g., 2pi, 180, or 360 degrees), to handle angle-dependent biases, pad circular data, and more. Specifically aimed for psychologists and neuroscientists analyzing circular data. Basic methods are based on Jammalamadaka and SenGupta (2001) <doi:10.1142/4031>, removal of cardinal biases is based on the approach introduced in van Bergen, Ma, Pratte, & Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023) <doi:10.1038/s41467-023-43251-w>.
URL: https://achetverikov.github.io/circhelp/index.html, https://github.com/achetverikov/circhelp
BugReports: https://github.com/achetverikov/circhelp/issues
License: CC0
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), circular, knitr, rmarkdown, BAMBI, mgcv, ragg
Imports: gamlss, MASS, mathjaxr, patchwork
Depends: stats, data.table, ggplot2, R (>= 2.10)
VignetteBuilder: knitr, patchwork, ggplot2, MASS, gamlss, mgcv, ragg
NeedsCompilation: no
Packaged: 2024-07-04 11:36:14 UTC; anche7026
Author: Andrey Chetverikov [aut, cre] , Eline Van Geert [ctb]
Maintainer: Andrey Chetverikov <andrey.chetverikov@uib.no>
Repository: CRAN
Date/Publication: 2024-07-04 17:10:02 UTC

More information about circhelp at CRAN
Permanent link

Package ouch updated to version 2.20 with previous version 2.19 dated 2023-04-24

Title: Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.
Author: Aaron A. King [aut, cre] , Marguerite A. Butler [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between ouch versions 2.19 dated 2023-04-24 and 2.20 dated 2024-07-04

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More information about ouch at CRAN
Permanent link

New package LightLogR with initial version 0.3.8
Package: LightLogR
Title: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters
Version: 0.3.8
Description: Import, processing, validation, and visualization of personal light exposure measurement data from wearable devices. The package implements features such as the import of data and metadata files, conversion of common file formats, validation of light logging data, verification of crucial metadata, calculation of common parameters, and semi-automated analysis and visualization.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/tscnlab/LightLogR, https://tscnlab.github.io/LightLogR/, https://zenodo.org/doi/10.5281/zenodo.11562600
BugReports: https://github.com/tscnlab/LightLogR/issues
Imports: cowplot, dplyr, flextable, ggplot2, ggsci, ggtext, hms, lubridate, magrittr, pkgload, plotly, purrr, readr, rlang, rsconnect, scales, slider, stats, stringr, tibble, tidyr, utils
Depends: R (>= 2.10)
LazyData: true
Suggests: covr, gghighlight, gt, gtsummary, knitr, patchwork, rmarkdown, testthat (>= 3.0.0), tidyverse
NeedsCompilation: no
Packaged: 2024-07-04 09:38:03 UTC; zauner
Author: Johannes Zauner [aut, cre] , Manuel Spitschan [aut] , Steffen Hartmeyer [aut] , MeLiDos [fnd], EURAMET [fnd] has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovatio [...truncated...]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>
Repository: CRAN
Date/Publication: 2024-07-04 17:00:02 UTC

More information about LightLogR at CRAN
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Package ecospat updated to version 4.1.1 with previous version 4.1.0 dated 2024-05-24

Title: Spatial Ecology Miscellaneous Methods
Description: Collection of R functions and data sets for the support of spatial ecology analyses with a focus on pre, core and post modelling analyses of species distribution, niche quantification and community assembly. Written by current and former members and collaborators of the ecospat group of Antoine Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola et al. (2016) <doi:10.1111/ecog.02671> for details.
Author: Olivier Broennimann [cre, aut, ctb], Valeria Di Cola [aut, ctb], Blaise Petitpierre [ctb], Frank Breiner [ctb], Daniel Scherrer [ctb], Manuela D`Amen [ctb], Christophe Randin [ctb], Robin Engler [ctb], Wim Hordijk [ctb], Heidi Mod [ctb], Julien Potti [...truncated...]
Maintainer: Olivier Broennimann <olivier.broennimann@unil.ch>

Diff between ecospat versions 4.1.0 dated 2024-05-24 and 4.1.1 dated 2024-07-04

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New package ctxR with initial version 1.0.0
Package: ctxR
Title: Utilities for Interacting with the 'CTX' APIs
Version: 1.0.0
Description: Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://api-ccte.epa.gov/docs/>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
License: GPL (>= 3)
Imports: cli, data.table, httr, jsonlite, purrr, rlang, stringr, tidyr, tibble, urltools
Encoding: UTF-8
LazyData: true
Suggests: countcolors, devtools, DT, ggplot2, gridExtra, httptest, knitr, prettydoc, rmarkdown, testthat (>= 3.0.0), XML
URL: https://github.com/USEPA/ctxR
BugReports: https://github.com/USEPA/ctxR/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-07-03 12:20:29 UTC; PKRUSE
Author: Paul Kruse [aut, cre] , Caroline Ring [aut] , Madison Feshuk [ctb] , Carter Thunes [ctb], Jason Brown [ctb]
Maintainer: Paul Kruse <kruse.paul@epa.gov>
Repository: CRAN
Date/Publication: 2024-07-04 16:40:02 UTC

More information about ctxR at CRAN
Permanent link

New package ACSSpack with initial version 0.0.1.4
Package: ACSSpack
Title: ACSS, Corresponding ACSS, and GLP Algorithm
Version: 0.0.1.4
Date: 2024-06-30
Description: Allow user to run the Adaptive Correlated Spike and Slab (ACSS) algorithm, corresponding INdependent Spike and Slab (INSS) algorithm, and Giannone, Lenza and Primiceri (GLP) algorithm with adaptive burn-in. All of the three algorithms are used to fit high dimensional data set with either sparse structure, or dense structure with smaller contributions from all predictors. The state-of-the-art GLP algorithm is in Giannone, D., Lenza, M., & Primiceri, G. E. (2021, ISBN:978-92-899-4542-4) "Economic predictions with big data: The illusion of sparsity". The two new algorithms, ACSS algorithm and INSS algorithm, and the discussion on their performance can be seen in Yang, Z., Khare, K., & Michailidis, G. (2024, preprint) "Bayesian methodology for adaptive sparsity and shrinkage in regression".
License: GPL-3
Encoding: UTF-8
Imports: stats, HDCI (>= 1.0-2), MASS (>= 7.3-60), extraDistr (>= 1.4-4)
LinkingTo: Rcpp (>= 1.0.11), RcppArmadillo (>= 0.12.6.3.0)
Depends: R (>= 3.0.2)
LazyData: true
NeedsCompilation: yes
Packaged: 2024-07-03 23:35:18 UTC; yangt
Author: Ziqian Yang [cre, aut], Kshitij Khare [aut], George Michailidis [aut]
Maintainer: Ziqian Yang <zi.yang@ufl.edu>
Repository: CRAN
Date/Publication: 2024-07-04 16:40:08 UTC

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Package vcmeta updated to version 1.4.0 with previous version 1.3.0 dated 2024-03-04

Title: Varying Coefficient Meta-Analysis
Description: Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

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Package nestedcv updated to version 0.7.9 with previous version 0.7.8 dated 2024-03-13

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Cankut Cubuk [ctb] , Katriona Goldmann [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between nestedcv versions 0.7.8 dated 2024-03-13 and 0.7.9 dated 2024-07-04

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Package gmoTree updated to version 1.1.0 with previous version 1.0.1 dated 2023-10-25

Title: Get and Modify 'oTree' Data
Description: Manage data from 'oTree' experiments. Import 'oTree' data and clean them by using functions to deal with messy data, dropouts, and other problematic cases. Create IDs, calculate the time, transfer variables between app data frames, and delete sensitive information. You can also check your experimental data before running the experiment. Information on 'oTree' is found in Chen, D. L., Schonger, M., & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.
Author: Patricia F. Zauchner [aut, trl, cre, cph]
Maintainer: Patricia F. Zauchner <patricia.zauchner@gmx.at>

Diff between gmoTree versions 1.0.1 dated 2023-10-25 and 1.1.0 dated 2024-07-04

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Package rodeo updated to version 0.8.1 with previous version 0.7.8 dated 2023-12-15

Title: A Code Generator for ODE-Based Models
Description: Provides an R6 class and several utility methods to facilitate the implementation of models based on ordinary differential equations. The heart of the package is a code generator that creates compiled 'Fortran' (or 'R') code which can be passed to a numerical solver. There is direct support for solvers contained in packages 'deSolve' and 'rootSolve'.
Author: David Kneis <david.kneis@tu-dresden.de>
Maintainer: David Kneis <david.kneis@tu-dresden.de>

Diff between rodeo versions 0.7.8 dated 2023-12-15 and 0.8.1 dated 2024-07-04

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Package clusterMI updated to version 1.2 with previous version 1.1.1 dated 2024-05-31

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

Diff between clusterMI versions 1.1.1 dated 2024-05-31 and 1.2 dated 2024-07-04

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Package uGMAR updated to version 3.5.0 with previous version 3.4.5 dated 2023-08-19

Title: Estimate Univariate Gaussian and Student's t Mixture Autoregressive Models
Description: Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models, quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023) <doi:10.1080/03610926.2021.1916531>, Savi Virolainen (2022) <doi:10.1515/snde-2020-0060>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package metaplus updated to version 1.0-5 with previous version 1.0-4 dated 2022-05-13

Title: Robust Meta-Analysis and Meta-Regression
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Maintainer: Ken Beath <ken@kjbeath.id.au>

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Package ndtv updated to version 0.13.4 with previous version 0.13.3 dated 2022-11-20

Title: Network Dynamic Temporal Visualizations
Description: Renders dynamic network data from 'networkDynamic' objects as movies, interactive animations, or other representations of changing relational structures and attributes.
Author: Skye Bender-deMoll [cre, aut], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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Package HMR updated to version 1.0.4 with previous version 1.0.3 dated 2023-12-11

Title: Flux Estimation with Static Chamber Data
Description: Statistical analysis of static chamber concentration data for trace gas flux estimation.
Author: Asger R. Pedersen <arpstat@outlook.dk>
Maintainer: Asger R. Pedersen <arpstat@outlook.dk>

Diff between HMR versions 1.0.3 dated 2023-12-11 and 1.0.4 dated 2024-07-04

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Package heck updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-12

Title: Highly Performant String Case Converter
Description: Provides a case conversion between common cases like CamelCase and snake_case. Using the 'rust crate heck' <https://github.com/withoutboats/heck> as the backend for a highly performant case conversion for 'R'.
Author: Josiah Parry [aut] , Dyfan Jones [cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between heck versions 0.1.0 dated 2024-04-12 and 0.1.1 dated 2024-07-04

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New package cubar with initial version 0.6.0
Package: cubar
Title: Codon Usage Bias Analysis
Version: 0.6.0
Description: A suite of functions for rapid and flexible analysis of codon usage bias. It provides in-depth analysis at the codon level, including relative synonymous codon usage (RSCU), tRNA weight calculations, machine learning predictions for optimal or preferred codons, and visualization of codon-anticodon pairing. Additionally, it can calculate various gene- specific codon indices such as codon adaptation index (CAI), effective number of codons (ENC), fraction of optimal codons (Fop), tRNA adaptation index (tAI), mean codon stabilization coefficients (CSCg), and GC contents (GC/GC3s/GC4d). It also supports both standard and non-standard genetic code tables found in NCBI, as well as custom genetic code tables.
License: MIT + file LICENSE
URL: https://github.com/mt1022/cubar, https://mt1022.github.io/cubar/
BugReports: https://github.com/mt1022/cubar/issues
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
Imports: Biostrings (>= 2.60.0), IRanges (>= 2.34.0), data.table (>= 1.14.0), ggplot2 (>= 3.3.5), rlang (>= 0.4.11)
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-04 11:13:49 UTC; mt1022
Author: Hong Zhang [aut, cre] , Bu Zi [aut]
Maintainer: Hong Zhang <mt1022.dev@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-04 12:50:06 UTC

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New package ReturnCurves with initial version 1.0
Package: ReturnCurves
Title: Estimation of Return Curves
Version: 1.0
Date: 2024-06-24
Maintainer: Lidia Andre <l.andre@lancaster.ac.uk>
Description: Estimates the p-probability return curve proposed by Murphy-Barltrop et al. (2023) <doi:10.1002/env.2797>. Implements pointwise and smooth estimation of the angular dependence function introduced by Wadsworth and Tawn (2013) <doi:10.3150/12-BEJ471>.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: evd, ismev, Rdpack, mathjaxr, ggplot2 (>= 3.4.4), gridExtra, methods, stats, shiny, tools, DT, shinydashboard, openair
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-07-03 17:40:21 UTC; andrel
Author: Lidia Andre [aut, cre], Callum Murphy-Barltrop [aut]
Repository: CRAN
Date/Publication: 2024-07-04 11:30:02 UTC

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Package jordan updated to version 1.0-6 with previous version 1.0-5 dated 2024-03-28

Title: A Suite of Routines for Working with Jordan Algebras
Description: A Jordan algebra is an algebraic object originally designed to study observables in quantum mechanics. Jordan algebras are commutative but non-associative; they satisfy the Jordan identity. The package follows the ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of Jordan Algebras". To cite the package in publications, please use Hankin (2023) <doi:10.48550/arXiv.2303.06062>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between jordan versions 1.0-5 dated 2024-03-28 and 1.0-6 dated 2024-07-04

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Package healthyR.data updated to version 1.1.1 with previous version 1.1.0 dated 2024-05-23

Title: Data Only Package to 'healthyR'
Description: Provides data for functions typically used in the 'healthyR' package.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between healthyR.data versions 1.1.0 dated 2024-05-23 and 1.1.1 dated 2024-07-04

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Package downloadthis updated to version 0.4.0 with previous version 0.3.3 dated 2023-11-09

Title: Implement Download Buttons in 'rmarkdown'
Description: Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Author: Felipe Mattioni Maturana [aut, cre] , John Coene [ctb]
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

Diff between downloadthis versions 0.3.3 dated 2023-11-09 and 0.4.0 dated 2024-07-04

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New package hidradenitis with initial version 1.0.0
Package: hidradenitis
Title: Calculate Clinical Scores for Hidradenitis Suppurativa (HS), a Dermatologic Disease
Version: 1.0.0
Description: Calculate clinical scores for hidradenitis suppurativa (HS), a dermatologic disease. The scores are typically used for evaluation of efficacy in clinical trials. The scores are not commonly used in clinical practice. The specific scores implemented are Hidradenitis Suppurativa Clinical Response (HiSCR) (Kimball, et al. (2015) <doi:10.1111/jdv.13216>), Hidradenitis Suppurativa Area and Severity Index Revised (HASI-R) (Goldfarb, et al. (2020) <doi:10.1111/bjd.19565>), hidradenitis suppurativa Physician Global Assessment (HS PGA) (Marzano, et al. (2020) <doi:10.1111/jdv.16328>), and the International Hidradenitis Suppurativa Severity Score System (IHS4) (Zouboulis, et al. (2017) <doi:10.1111/bjd.15748>).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: spelling, testthat (>= 3.0.0)
URL: https://billdenney.github.io/hidradenitis/
Language: en-US
Imports: checkmate
NeedsCompilation: no
Packaged: 2024-07-03 13:29:28 UTC; bill
Author: Bill Denney [aut, cre] , Devon Bartlett [aut]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2024-07-04 08:20:02 UTC

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Package Spectran updated to version 1.0.6 with previous version 1.0.3 dated 2023-11-09

Title: Visual and Non-Visual Spectral Analysis of Light
Description: Analyse light spectra for visual and non-visual (often called melanopic) needs, wrapped up in a Shiny App. 'Spectran' allows for the import of spectra in various CSV forms but also provides a wide range of example spectra and even the creation of own spectral power distributions. The goal of the app is to provide easy access and a visual overview of the spectral calculations underlying common parameters used in the field. It is thus ideal for educational purposes or the creation of presentation ready graphs in lighting research and application. 'Spectran' uses equations and action spectra described in CIE S026 (2018) <doi:10.25039/S026.2018>, DIN/TS 5031-100 (2021) <doi:10.31030/3287213>, and ISO/CIE 23539 (2023) <doi:10.25039/IS0.CIE.23539.2023>.
Author: Johannes Zauner [aut, cre, cph] , LiTG [fnd, cph]
Maintainer: Johannes Zauner <spectran@litg.de>

Diff between Spectran versions 1.0.3 dated 2023-11-09 and 1.0.6 dated 2024-07-04

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New package SOMnmR with initial version 0.3.0
Package: SOMnmR
Title: Analysis of Soil Organic Matter using Nuclear Magnetic Resonance
Version: 0.3.0
Description: Integrates the 13C nuclear magnetic resonance spectra using different integration ranges. Output depends on the method chosen. For the Molecular Mixing Model, a measurement of the fitting quality is given by its R-factor. For more details see: <doi:10.5281/zenodo.10137768>.
URL: https://github.com/LuisCol8/SOMnmR/
Encoding: UTF-8
LazyData: true
Imports: pracma, minpack.lm, quadprog, IntervalSurgeon, dplyr, ggplot2, rlang
Depends: data.table, R (>= 2.10)
Suggests: testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2024-07-03 11:28:45 UTC; zak69953
Author: Luis Colocho [aut, cre]
Maintainer: Luis Colocho <lucacol8@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-04 07:50:05 UTC

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Package quantdates updated to version 2.0.4 with previous version 2.0.2 dated 2024-06-29

Title: Manipulate Dates for Finance
Description: Functions to manipulate dates and count days for quantitative finance analysis. The 'quantdates' package considers leap, holidays and business days for relevant calendars in a financial context to simplify quantitative finance calculations, consistent with International Swaps and Derivatives Association (ISDA) (2006) <https://www.isda.org/book/2006-isda-definitions/> regulations.
Author: Julian Chitiva [aut], Diego Jara [aut], Erick Translateur [com], Juan Pablo Bermudez [aut, cre], Quantil S.A.S [aut, cph]
Maintainer: Juan Pablo Bermudez <juan.bermudez@quantil.com.co>

Diff between quantdates versions 2.0.2 dated 2024-06-29 and 2.0.4 dated 2024-07-04

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More information about quantdates at CRAN
Permanent link

New package pmev with initial version 0.0.2
Package: pmev
Title: Calculates Earned Value for a Project Schedule
Version: 0.0.2
Author: David Hammond [aut, cre]
URL: https://github.com/david-hammond/pmev
BugReports: https://github.com/david-hammond/pmev
Maintainer: David Hammond <anotherdavidhammond@gmail.com>
Description: Given a project schedule and associated costs, this package calculates the earned value to date. It is an implementation of Project Management Body of Knowledge (PMBOK) methodologies (reference Project Management Institute. (2021). A guide to the Project Management Body of Knowledge (PMBOK guide) (7th ed.). Project Management Institute, Newtown Square, PA, ISBN 9781628256673 (pdf)).
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: dplyr, lubridate, magrittr, zoo, rlang
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-07-03 11:02:17 UTC; david
Repository: CRAN
Date/Publication: 2024-07-04 07:50:02 UTC

More information about pmev at CRAN
Permanent link

Package ecostats updated to version 1.2.1 with previous version 1.1.11 dated 2022-08-24

Title: Code and Data Accompanying the Eco-Stats Text (Warton 2022)
Description: Functions and data supporting the Eco-Stats text (Warton, 2022, Springer), and solutions to exercises. Functions include tools for using simulation envelopes in diagnostic plots, and a function for diagnostic plots of multivariate linear models. Datasets mentioned in the package are included here (where not available elsewhere) and there is a vignette for each chapter of the text with solutions to exercises.
Author: David Warton [aut, cre], Christopher Chung [ctb], Mark Donoghoe [ctb], Eve Slavich [ctb]
Maintainer: David Warton <david.warton@unsw.edu.au>

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More information about ecostats at CRAN
Permanent link

Package BFI updated to version 2.0.1 with previous version 1.1.4 dated 2024-04-27

Title: Bayesian Federated Inference
Description: The Bayesian Federated Inference ('BFI') method combines inference results obtained from local data sets in the separate centers. In this version of the package, the 'BFI' methodology is programmed for linear, logistic and survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024) <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers, Coolen and Jonker (2024) <doi:10.48550/arXiv.2404.17464>; and for heterogeneous populations, see Jonker, Pazira and Coolen (2024) <doi:10.48550/arXiv.2402.02898>.
Author: Hassan Pazira [aut, cre] , Emanuele Massa [aut] , Marianne A. Jonker [aut]
Maintainer: Hassan Pazira <hassan.pazira@radboudumc.nl>

Diff between BFI versions 1.1.4 dated 2024-04-27 and 2.0.1 dated 2024-07-04

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More information about BFI at CRAN
Permanent link

Package RMCC updated to version 0.1.1 with previous version 0.1.0 dated 2022-02-08

Title: Airborne LiDAR Filtering Method Based on Multiscale Curvature
Description: Multiscale Curvature Classification of ground returns in 3-D LiDAR point clouds, designed for forested environments. 'RMCC' is a porting to R of the 'MCC-lidar' method by Evans and Hudak (2007) <doi:10.1109/TGRS.2006.890412>.
Author: Jean-Romain Roussel [aut, cre], Evans Jeffrey S [aut], Hudak Andrew T [aut], Green Code LLC [cph] , Jarno Elonen [cph] , Thomas Becker [cph]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between RMCC versions 0.1.0 dated 2022-02-08 and 0.1.1 dated 2024-07-04

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More information about RMCC at CRAN
Permanent link

Package recipes updated to version 1.1.0 with previous version 1.0.10 dated 2024-02-18

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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 recipes-1.1.0/recipes/tests/testthat/test-basics.R                  |   89 +
 recipes-1.1.0/recipes/tests/testthat/test-bs.R                      |   24 
 recipes-1.1.0/recipes/tests/testthat/test-class.R                   |   10 
 recipes-1.1.0/recipes/tests/testthat/test-colcheck.R                |   16 
 recipes-1.1.0/recipes/tests/testthat/test-cut.R                     |    2 
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_bag.R       |only
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_knn.R       |only
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_lower.R     |only
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_median.R    |only
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_mena.R      |only
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_mode.R      |only
 recipes-1.1.0/recipes/tests/testthat/test-deprec-impute_roll.R      |only
 recipes-1.1.0/recipes/tests/testthat/test-dummy.R                   |   29 
 recipes-1.1.0/recipes/tests/testthat/test-extract_fit_time.R        |only
 recipes-1.1.0/recipes/tests/testthat/test-impute_bag.R              |    7 
 recipes-1.1.0/recipes/tests/testthat/test-impute_knn.R              |    7 
 recipes-1.1.0/recipes/tests/testthat/test-impute_lower.R            |    7 
 recipes-1.1.0/recipes/tests/testthat/test-impute_mean.R             |    7 
 recipes-1.1.0/recipes/tests/testthat/test-impute_median.R           |    7 
 recipes-1.1.0/recipes/tests/testthat/test-impute_mode.R             |    7 
 recipes-1.1.0/recipes/tests/testthat/test-impute_roll.R             |    7 
 recipes-1.1.0/recipes/tests/testthat/test-indicate_na.R             |    4 
 recipes-1.1.0/recipes/tests/testthat/test-interact.R                |   45 
 recipes-1.1.0/recipes/tests/testthat/test-missing.R                 |    4 
 recipes-1.1.0/recipes/tests/testthat/test-mutate.R                  |   45 
 recipes-1.1.0/recipes/tests/testthat/test-naomit.R                  |    6 
 recipes-1.1.0/recipes/tests/testthat/test-ns.R                      |   24 
 recipes-1.1.0/recipes/tests/testthat/test-ordinalscore.R            |    2 
 recipes-1.1.0/recipes/tests/testthat/test-other.R                   |   22 
 recipes-1.1.0/recipes/tests/testthat/test-profile.R                 |    2 
 recipes-1.1.0/recipes/tests/testthat/test-ptype.R                   |only
 recipes-1.1.0/recipes/tests/testthat/test-roles.R                   |   12 
 recipes-1.1.0/recipes/tests/testthat/test-selections.R              |    3 
 recipes-1.1.0/recipes/tests/testthat/test-shuffle.R                 |    8 
 recipes-1.1.0/recipes/tests/testthat/test-spline_b.R                |   30 
 recipes-1.1.0/recipes/tests/testthat/test-spline_convex.R           |   30 
 recipes-1.1.0/recipes/tests/testthat/test-spline_monotone.R         |   30 
 recipes-1.1.0/recipes/tests/testthat/test-spline_nonnegative.R      |   30 
 282 files changed, 1818 insertions(+), 1358 deletions(-)

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