Thu, 07 Mar 2024

Package samplingin updated to version 1.0.7 with previous version 1.0.6 dated 2024-02-22

Title: Dynamic Survey Sampling Solutions
Description: A robust solution employing both systematic and PPS (Probability Proportional to Size) sampling methods, ensuring a methodical and representative selection of data. Seamlessly allocate predetermined allocations to smaller levels. Kish, L. (1965) <https://books.google.co.id/books?id=xiZmAAAAIAAJ>.
Author: Choerul Afifanto [aut, cre, cph]
Maintainer: Choerul Afifanto <choerulafifanto@gmail.com>

Diff between samplingin versions 1.0.6 dated 2024-02-22 and 1.0.7 dated 2024-03-07

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Package multcompView updated to version 0.1-10 with previous version 0.1-9 dated 2023-04-09

Title: Visualizations of Paired Comparisons
Description: Convert a logical vector or a vector of p-values or a correlation, difference, or distance matrix into a display identifying the pairs for which the differences were not significantly different. Designed for use in conjunction with the output of functions like TukeyHSD, dist{stats}, simint, simtest, csimint, csimtest{multcomp}, friedmanmc, kruskalmc{pgirmess}.
Author: Spencer Graves, Hans-Peter Piepho and Luciano Selzer with help from Sundar Dorai-Raj
Maintainer: Luciano Selzer <luciano.selzer@gmail.com>

Diff between multcompView versions 0.1-9 dated 2023-04-09 and 0.1-10 dated 2024-03-07

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Package kalmanfilter updated to version 2.1.1 with previous version 2.1.0 dated 2024-02-14

Title: Kalman Filter
Description: 'Rcpp' implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. There is also a function to handle time varying parameters. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

Diff between kalmanfilter versions 2.1.0 dated 2024-02-14 and 2.1.1 dated 2024-03-07

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Package copBasic updated to version 2.2.4 with previous version 2.2.3 dated 2024-01-09

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between copBasic versions 2.2.3 dated 2024-01-09 and 2.2.4 dated 2024-03-07

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Package globals updated to version 0.16.3 with previous version 0.16.2 dated 2022-11-21

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies (ordered, liberal, or conservative). The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in parallel, distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph], Davis Vaughan [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package FAST.R updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-06

Title: Analyze and Visualize FAST-Generated Data
Description: R 'shiny' app to perform data analysis and visualization for the Fully Automated Senescence Test (FAST) workflow.
Author: Francesco Neri [aut, cre, cph]
Maintainer: Francesco Neri <f.francesconeri@gmail.com>

Diff between FAST.R versions 0.2.0 dated 2024-03-06 and 0.2.1 dated 2024-03-07

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Package paleoDiv updated to version 0.2.2 with previous version 0.2.0 dated 2024-03-07

Title: Extracting and Visualizing Paleobiodiversity
Description: Contains various tools for conveniently downloading and editing taxon-specific datasets from the Paleobiology Database <https://paleobiodb.org>, extracting information on abundance, temporal distribution of subtaxa and taxonomic diversity through deep time, and visualizing these data in relation to phylogeny and stratigraphy.
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>

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Package rglwidget (with last version 0.2.1) was removed from CRAN

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

2016-08-26 0.2.1
2016-08-25 0.2
2015-12-28 0.1.1434
2015-12-07 0.1.1431
2015-11-09 0.1.1402

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Package teal updated to version 0.15.2 with previous version 0.15.1 dated 2024-02-22

Title: Exploratory Web Apps for Analyzing Clinical Trials Data
Description: A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.
Author: Dawid Kaledkowski [aut, cre] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Kartikeya Kirar [aut], Vedha Viyash [aut], Marcin Kosinski [aut], Adrian Waddell [aut], Chendi Liao [rev], Dony Unardi [rev], Nikolas Burkoff [aut [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package simDAG updated to version 0.1.1 with previous version 0.1.0 dated 2023-08-28

Title: Simulate Data from a DAG and Associated Node Information
Description: Simulate complex data from a given directed acyclic graph and information about each individual node. Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to one of many implemented regressions, such as logistic regression, linear regression, poisson regression and more. Also includes a comprehensive framework for discrete-time simulation, which can generate even more complex longitudinal data.
Author: Robin Denz [aut, cre], Katharina Meiszl [aut]
Maintainer: Robin Denz <robin.denz@rub.de>

Diff between simDAG versions 0.1.0 dated 2023-08-28 and 0.1.1 dated 2024-03-07

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Package readtextgrid updated to version 0.1.2 with previous version 0.1.1 dated 2020-02-17

Title: Read in a 'Praat' 'TextGrid' File
Description: 'Praat' <https://www.fon.hum.uva.nl/praat/> is a widely used tool for manipulating, annotating and analyzing speech and acoustic data. It stores annotation data in a format called a 'TextGrid'. This package provides a way to read these files into R.
Author: Tristan Mahr [aut, cre]
Maintainer: Tristan Mahr <tristan.mahr@wisc.edu>

Diff between readtextgrid versions 0.1.1 dated 2020-02-17 and 0.1.2 dated 2024-03-07

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Package Holomics updated to version 1.1.0 with previous version 1.0.0 dated 2023-08-21

Title: An User-Friendly R 'shiny' Application for Multi-Omics Data Integration and Analysis
Description: A 'shiny' application, which allows you to perform single- and multi-omics analyses using your own omics datasets. After the upload of the omics datasets and a metadata file, single-omics is performed for feature selection and dataset reduction. These datasets are used for pairwise- and multi-omics analyses, where automatic tuning is done to identify correlations between the datasets - the end goal of the recommended 'Holomics' workflow. Methods used in the package were implemented in the package 'mixomics' by Florian Rohart,Benoît Gautier,Amrit Singh,Kim-Anh Lê Cao (2017) <doi:10.1371/journal.pcbi.1005752> and are described there in further detail.
Author: Katharina Munk [aut, cre], Eva M. Molin [aut, ctb], Guenter Brader [ctb], Lisa Ziemba [ctb], AIT Austrian Institute of Technology GmbH [cph]
Maintainer: Katharina Munk <katharinamunk@yahoo.de>

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Package fmeffects updated to version 0.1.2 with previous version 0.1.1 dated 2023-09-26

Title: Model-Agnostic Interpretations with Forward Marginal Effects
Description: Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <arXiv:2201.08837>.
Author: Holger Loewe [cre, aut], Christian Scholbeck [aut], Christian Heumann [rev], Bernd Bischl [rev], Giuseppe Casalicchio [rev]
Maintainer: Holger Loewe <hbj.loewe@gmail.com>

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Package VCA updated to version 1.5.1 with previous version 1.5.0 dated 2024-01-18

Title: Variance Component Analysis
Description: ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.
Author: Andre Schuetzenmeister [aut, cre], Florian Dufey [aut]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

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Package fastTS updated to version 1.0.0 with previous version 0.1.2 dated 2024-02-07

Title: Fast Time Series Modeling for Seasonal Series with Exogenous Variables
Description: An implementation of sparsity-ranked lasso and related methods for time series data. This methodology is especially useful for large time series with exogenous features and/or complex seasonality. Originally described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the context of variable selection with interactions and/or polynomials, ranked sparsity is a philosophy with methods useful for variable selection in the presence of prior informational asymmetry. This situation exists for time series data with complex seasonality, as shown in Peterson and Cavanaugh (2023+) <doi:10.48550/arXiv.2211.01492>, which also describes this package in greater detail. The sparsity-ranked penalization methods for Time Series implemented in 'fastTS' can fit large/complex/high-frequency time series quickly, even with a high-dimensional exogenous feature set. The method is considerably faster than its competitors, while often producing more accurate predictions. Also inclu [...truncated...]
Author: Ryan Andrew Peterson [aut, cre, cph]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

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Package platetools updated to version 0.1.7 with previous version 0.1.5 dated 2021-06-03

Title: Tools and Plots for Multi-Well Plates
Description: Collection of functions for working with multi-well microtitre plates, mainly 96, 384 and 1536 well plates.
Author: Scott Warchal [aut, cre]
Maintainer: Scott Warchal <scott.warchal@gmail.com>

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Package mllrnrs updated to version 0.0.3 with previous version 0.0.2 dated 2023-07-18

Title: R6-Based ML Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package libr updated to version 1.3.1 with previous version 1.3.0 dated 2024-02-11

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

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Package chouca updated to version 0.1.99 with previous version 0.0.999 dated 2024-02-29

Title: A Stochastic Cellular Automaton Engine
Description: An engine for stochastic cellular automata. It provides a high-level interface to declare a model, which can then be simulated by various backends (Genin et al. (2023) <doi:10.1101/2023.11.08.566206>).
Author: Alexandre Genin [aut, cre] , Guillaume Dupont [aut], Daniel Valencia [aut], Mauro Zucconi [aut], M. Isidora Avila-Thieme [aut], Sergio A. Navarrete [aut], Evie A. Wieters [aut]
Maintainer: Alexandre Genin <a.a.h.genin@uu.nl>

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Package jfa updated to version 0.7.1 with previous version 0.7.0 dated 2023-10-04

Title: Statistical Methods for Auditing
Description: Provides statistical methods for auditing as implemented in JASP for Audit (Derks et al., 2021 <doi:10.21105/joss.02733>). First, the package makes it easy for an auditor to plan a statistical sample, select the sample from the population, and evaluate the misstatement in the sample compliant with international auditing standards. Second, the package provides statistical methods for auditing data, including tests of digit distributions and repeated values. Finally, the package includes methods for auditing algorithms on the aspect of fairness and bias. Next to classical statistical methodology, the package implements Bayesian equivalents of these methods whose statistical underpinnings are described in Derks et al. (2021) <doi:10.1111/ijau.12240>, Derks et al. (2021) <doi:10.31234/osf.io/kzqp5>, and Derks et al. (2022) <doi:10.31234/osf.io/8nf3e>.
Author: Koen Derks [aut, cre]
Maintainer: Koen Derks <k.derks@nyenrode.nl>

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Package ggraph updated to version 2.2.1 with previous version 2.2.0 dated 2024-02-27

Title: An Implementation of Grammar of Graphics for Graphs and Networks
Description: The grammar of graphics as implemented in ggplot2 is a poor fit for graph and network visualizations due to its reliance on tabular data input. ggraph is an extension of the ggplot2 API tailored to graph visualizations and provides the same flexible approach to building up plots layer by layer.
Author: Thomas Lin Pedersen [cre, aut] , RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package dotwhisker updated to version 0.8.1 with previous version 0.7.4 dated 2021-09-02

Title: Dot-and-Whisker Plots of Regression Results
Description: Quick and easy dot-and-whisker plots of regression results.
Author: Frederick Solt [aut], Yue Hu [aut, cre], Os Keyes [ctb], Ben Bolker [ctb], Stefan Mueller [ctb], Thomas Leeper [ctb], Chris Wallace [ctb], Christopher Warshaw [ctb]
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>

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Permanent link

Package stinepack updated to version 1.5 with previous version 1.4 dated 2018-07-30

Title: Stineman, a Consistently Well Behaved Method of Interpolation
Description: A consistently well behaved method of interpolation based on piecewise rational functions using Stineman's algorithm.
Author: Tomas Johannesson & Halldor Bjornsson, Icelandic Met. Office; Gabor Grothendieck
Maintainer: Tomas Johannesson <tj@vedur.is>

Diff between stinepack versions 1.4 dated 2018-07-30 and 1.5 dated 2024-03-07

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More information about stinepack at CRAN
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Package migraph updated to version 1.3.4 with previous version 1.3.2 dated 2024-01-25

Title: Many Network Measures, Motifs, Members, and Models
Description: A set of tools for analysing multimodal networks. It includes functions for measuring centrality, centralization, cohesion, closure, constraint and diversity, as well as for network block-modelling, regression, and diffusion models. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book. Built on the 'manynet' package, all functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 1.3.2 dated 2024-01-25 and 1.3.4 dated 2024-03-07

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Package espadon updated to version 1.6.0 with previous version 1.5.1 dated 2024-01-11

Title: Easy Study of Patient DICOM Data in Oncology
Description: Exploitation, processing and 2D-3D visualization of DICOM-RT files (structures, dosimetry, imagery) for medical physics and clinical research, in a patient-oriented perspective.
Author: Cathy Fontbonne [aut, cre] , Jean-Marc Fontbonne [aut] , Nathan Azemar [ctb]
Maintainer: Cathy Fontbonne <contact.espadon@lpccaen.in2p3.fr>

Diff between espadon versions 1.5.1 dated 2024-01-11 and 1.6.0 dated 2024-03-07

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New package rcens with initial version 0.1.0
Package: rcens
Title: Generate Sample Censoring
Version: 0.1.0
Author: Daniel Saavedra [aut, cre, cph]
Maintainer: Daniel Saavedra <dlsaavedra@uc.cl>
Description: Provides functions to generate censored samples of type I, II and III, from any random sample generator. It also supply the option to create left and right censorship. Along with this, the generation of samples with interval censoring is in the testing phase, with two options of fixed length intervals and random lengths.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dlsaavedra/rcens
BugReports: https://github.com/dlsaavedra/rcens/issues
NeedsCompilation: no
Packaged: 2024-03-06 15:15:58 UTC; danielsaavedramorales
Repository: CRAN
Date/Publication: 2024-03-07 10:50:02 UTC

More information about rcens at CRAN
Permanent link

Package PublicWorksFinanceIT updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-06

Title: Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization
Description: Facilitates the retrieval and analysis of financial data related to public works in Italy, focusing on soil defense investments. It extracts data from 'OpenCoesione', 'OpenBDAP', and the 'ReNDiS' database, eliminating the need for direct access to these platforms. The package boasts a user-friendly design, featuring real time updates and a set of functions tailored for data retrieval and visualization. See the webpages for further information <http://www.rendis.isprambiente.it/rendisweb/>, <https://opencoesione.gov.it/en/>, and <https://bdap-opendata.rgs.mef.gov.it/>.
Author: Lorena Ricciotti [aut, cre] , Alessio Pollice [ths]
Maintainer: Lorena Ricciotti <lorena.ricciotti@uniba.it>

Diff between PublicWorksFinanceIT versions 0.1.0 dated 2024-02-06 and 0.2.0 dated 2024-03-07

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 22 files changed, 157 insertions(+), 132 deletions(-)

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Permanent link

New package noisysbmGGM with initial version 0.1.2.3
Package: noisysbmGGM
Title: Noisy Stochastic Block Model for GGM Inference
Version: 0.1.2.3
Author: Valentin Kilian [aut, cre], Fanny Villers [aut]
Maintainer: Valentin Kilian <valentin.kilian@ens-rennes.fr>
Description: Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model (GGM) from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) <arXiv:2402.19021>.
License: GPL-2
Encoding: UTF-8
Imports: parallel,ppcor,SILGGM,stats,igraph,huge,Rcpp,RcppArmadillo,MASS,RColorBrewer
Depends: R (>= 3.1.0)
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-06 14:56:30 UTC; vkilian
Repository: CRAN
Date/Publication: 2024-03-07 10:40:02 UTC

More information about noisysbmGGM at CRAN
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New package MultiCOAP with initial version 1.1
Package: MultiCOAP
Title: High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model
Version: 1.1
Date: 2024-03-06
Author: Wei Liu [aut, cre], Qingzhi Zhong [aut]
Maintainer: Wei Liu <liuweideng@gmail.com>
Description: We introduce factor models designed to jointly analyze high-dimensional count data from multiple studies by extracting study-shared and specified factors. Our factor models account for heterogeneous noises and overdispersion among counts with augmented covariates. We propose an efficient and speedy variational estimation procedure for estimating model parameters, along with a novel criterion for selecting the optimal number of factors and the rank of regression coefficient matrix. More details can be referred to Liu et al. (2024) <doi:10.48550/arXiv.2402.15071>.
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, Rcpp (>= 1.0.10)
URL: https://github.com/feiyoung/MultiCOAP
BugReports: https://github.com/feiyoung/MultiCOAP/issues
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-03-06 10:36:51 UTC; Liuxianju
Repository: CRAN
Date/Publication: 2024-03-07 10:40:05 UTC

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New package movegroup with initial version 2024.03.05
Package: movegroup
Title: Visualizing and Quantifying Space Use Data for Groups of Animals
Version: 2024.03.05
Description: Offers an easy and automated way to scale up individual-level space use analysis to that of groups. Contains a function from the 'move' package to calculate a dynamic Brownian bridge movement model from movement data for individual animals, as well as functions to visualize and quantify space use for individuals aggregated in groups. Originally written with passive acoustic telemetry in mind, this package also provides functionality to account for unbalanced acoustic receiver array designs, and satellite tag data.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Imports: ggplot2 (>= 3.3.5), utils, beepr (>= 1.3), dplyr (>= 1.0.8), ggmap (>= 3.0.0), knitr (>= 1.45), lubridate (>= 1.8.0), magick (>= 2.8.2), methods, move (>= 4.1.6), purrr (>= 1.0.2), raster (>= 3.5-15), rlang (>= 1.0.2), sf (>= 1.0-7), sp (>= 1.4-6), stars (>= 0.5-5), starsExtra (>= 0.2.7), stringr (>= 1.4.0), terra (>= 1.7-39), tidyr (>= 1.2.0), tidyselect (>= 1.2.0), viridis (>= 0.6.4)
Suggests: rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-05 17:31:10 UTC; simon
Author: Simon Dedman [aut, cre] , Maurits van Zinnicq Bergmann [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-07 10:10:02 UTC

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New package iimi with initial version 1.0.2
Package: iimi
Title: Identifying Infection with Machine Intelligence
Version: 1.0.2
Description: A novel machine learning method for plant viruses diagnostic using genome sequencing data. This package includes three different machine learning models, random forest, XGBoost, and elastic net, to train and predict mapped genome samples. Mappability profile and unreliable regions are introduced to the algorithm, and users can build a mappability profile from scratch with functions included in the package. Plotting mapped sample coverage information is provided.
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Imports: GenomicAlignments, IRanges, Rsamtools, data.table, mltools, randomForest, xgboost, Biostrings, stats, MTPS, R.utils, caret, stringr, dplyr
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
License: MIT + file LICENSE
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-03-05 19:46:15 UTC; dsain
Author: Haochen Ning [aut], Ian Boyes [aut], Ibrahim Numanagic [aut] , Michael Rott [aut], Li Xing [aut] , Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
Repository: CRAN
Date/Publication: 2024-03-07 10:30:02 UTC

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Package descriptio updated to version 1.3 with previous version 1.2 dated 2023-10-05

Title: Descriptive Statistical Analysis
Description: Description of statistical associations between two variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between two variables (using 'ggplot2') and weighted statistics.
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

Diff between descriptio versions 1.2 dated 2023-10-05 and 1.3 dated 2024-03-07

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Package systemfonts updated to version 1.0.6 with previous version 1.0.5 dated 2023-10-09

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between systemfonts versions 1.0.5 dated 2023-10-09 and 1.0.6 dated 2024-03-07

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Package QBMS updated to version 1.0.0 with previous version 0.9.1 dated 2023-03-28

Title: Query the Breeding Management System(s)
Description: This R package assists breeders in linking data systems with their analytic pipelines, a crucial step in digitizing breeding processes. It supports querying and retrieving phenotypic and genotypic data from systems like 'EBS' <https://ebs.excellenceinbreeding.org/>, 'BMS' <https://bmspro.io>, 'BreedBase' <https://breedbase.org>, and 'GIGWA' <https://github.com/SouthGreenPlatform/Gigwa2> (using 'BrAPI' <https://brapi.org> calls). Extra helper functions support environmental data sources, including 'TerraClimate' <https://www.climatologylab.org/terraclimate.html> and 'FAO' 'HWSDv2' <https://gaez.fao.org/pages/hwsd> soil database.
Author: Khaled Al-Shamaa [aut, cre], Mariano Omar Crimi [ctb], Zakaria Kehel [ctb], Johan Aparicio [ctb], ICARDA [cph]
Maintainer: Khaled Al-Shamaa <k.el-shamaa@cgiar.org>

Diff between QBMS versions 0.9.1 dated 2023-03-28 and 1.0.0 dated 2024-03-07

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 78 files changed, 3249 insertions(+), 2165 deletions(-)

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New package praatpicture with initial version 1.0.0
Package: praatpicture
Title: 'Praat Picture' Style Plots of Acoustic Data
Version: 1.0.0
Description: Quickly and easily generate plots of acoustic data aligned with transcriptions similar to those made in 'Praat' using either derived signals generated directly in R with 'wrassp' or imported derived signals from 'Praat'. Provides easy and fast out-of-the-box solutions but also a high extent of flexibility. Also provides options for embedding audio in figures and animating figures.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: av (>= 0.9.0), crayon (>= 1.5.2), emuR (>= 2.4.2), gifski (>= 1.12.0.2), graphics (>= 4.3.2), grDevices (>= 4.3.2), gsignal (>= 0.3.5), ipa (>= 0.1.0), phonTools (>= 0.2.2.2), rPraat (>= 1.3.2.1), rstudioapi (>= 0.15.0), soundgen (>= 2.6.2), tuneR (>= 1.4.6), utils (>= 4.3.2), wrassp (>= 1.0.4)
URL: https://github.com/rpuggaardrode/praatpicture
BugReports: https://github.com/rpuggaardrode/praatpicture/issues
NeedsCompilation: no
Packaged: 2024-02-24 12:54:36 UTC; rasmu
Author: Rasmus Puggaard-Rode [aut, cre, cph]
Maintainer: Rasmus Puggaard-Rode <r.puggaard@phonetik.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2024-03-07 09:40:02 UTC

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New package paleoDiv with initial version 0.2.0
Package: paleoDiv
Title: Extracting and Visualizing Paleobiodiversity
Version: 0.2.0
Description: Contains various tools for conveniently downloading and editing taxon-specific datasets from the Paleobiology Database <https://paleobiodb.org>, extracting information on abundance, temporal distribution of subtaxa and taxonomic diversity through deep time, and visualizing these data in relation to phylogeny and stratigraphy.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), strap, divDyn, ggplot2, knitr, rmarkdown
Depends: R (>= 2.10), ape, stringr
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-05 15:34:52 UTC; suirad
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>
Repository: CRAN
Date/Publication: 2024-03-07 09:50:02 UTC

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Package mlexperiments updated to version 0.0.3 with previous version 0.0.2 dated 2023-06-10

Title: Machine Learning Experiments
Description: Provides 'R6' objects to perform parallelized hyperparameter optimization and cross-validation. Hyperparameter optimization can be performed with Bayesian optimization (via 'ParBayesianOptimization' <https://cran.r-project.org/package=ParBayesianOptimization>) and grid search. The optimized hyperparameters can be validated using k-fold cross-validation. Alternatively, hyperparameter optimization and validation can be performed with nested cross-validation. While 'mlexperiments' focuses on core wrappers for machine learning experiments, additional learner algorithms can be supplemented by inheriting from the provided learner base class.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between mlexperiments versions 0.0.2 dated 2023-06-10 and 0.0.3 dated 2024-03-07

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Package GDAtools updated to version 2.1 with previous version 2.0.1 dated 2023-10-06

Title: Geometric Data Analysis
Description: Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).
Author: Nicolas Robette [aut, cre]
Maintainer: Nicolas Robette <nicolas.robette@uvsq.fr>

Diff between GDAtools versions 2.0.1 dated 2023-10-06 and 2.1 dated 2024-03-07

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Package frictionless updated to version 1.0.3 with previous version 1.0.2 dated 2022-11-16

Title: Read and Write Frictionless Data Packages
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://specs.frictionlessdata.io/data-package/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.go-fair.org/fair-principles/>) and open datasets.
Author: Peter Desmet [aut, cre] , Damiano Oldoni [aut] , Research Institute for Nature and Forest [cph] , LifeWatch Belgium [fnd] , Beatriz Milz [rev] , Joao Martins [rev]
Maintainer: Peter Desmet <peter.desmet.work@gmail.com>

Diff between frictionless versions 1.0.2 dated 2022-11-16 and 1.0.3 dated 2024-03-07

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New package CBnetworkMA with initial version 0.1.0
Package: CBnetworkMA
Title: Contrast-Based Bayesian Network Meta Analysis
Version: 0.1.0
Maintainer: Garritt L. Page <page@stat.byu.edu>
Description: A function that facilitates fitting three types of models for contrast-based Bayesian Network Meta Analysis. The first model is that which is described in Lu and Ades (2006) <doi:10.1198/016214505000001302>. The other two models are based on a Bayesian nonparametric methods that permit ties when comparing treatment or for a treatment effect to be exactly equal to zero. In addition to the model fits, the package provides a summary of the interplay between treatment effects based on the procedure described in Barrientos, Page, and Lin (2023) <doi:10.48550/arXiv.2207.06561>.
Depends: R (>= 4.2)
Suggests: igraph
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-03-05 00:49:40 UTC; gpage
Author: Garritt L. Page [aut, cre, cph], Andres F. Barrientos [ctb, cph], S. McKay Curtis [ctb, cph], Radford M. Neal [ctb, cph]
Repository: CRAN
Date/Publication: 2024-03-07 09:40:14 UTC

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New package fmdu with initial version 0.1.1
Package: fmdu
Title: (Restricted) [external] Multidimensional Unfolding
Version: 0.1.1
Author: Frank Busing [aut, cre], Juan Claramunt Gonzalez [aut]
Maintainer: Frank Busing <busing@fsw.leidenuniv.nl>
Description: Functions for performing (external) multidimensional unfolding. Restrictions (fixed coordinates or model restrictions) are available for both row and column coordinates in all combinations.
Depends: R (>= 3.0.2)
Imports: smacof
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-02-21 08:32:18 UTC; prueba
Repository: CRAN
Date/Publication: 2024-03-07 07:30:02 UTC

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Package jsmodule updated to version 1.5.1 with previous version 1.5.0 dated 2024-02-14

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut], Yoonkyoung Jeon [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jsmodule versions 1.5.0 dated 2024-02-14 and 1.5.1 dated 2024-03-07

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Package file2meco updated to version 0.7.1 with previous version 0.7.0 dated 2023-11-09

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between file2meco versions 0.7.0 dated 2023-11-09 and 0.7.1 dated 2024-03-07

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Package DeclareDesign updated to version 1.0.8 with previous version 1.0.6 dated 2024-01-17

Title: Declare and Diagnose Research Designs
Description: Researchers can characterize and learn about the properties of research designs before implementation using `DeclareDesign`. Ex ante declaration and diagnosis of designs can help researchers clarify the strengths and limitations of their designs and to improve their properties, and can help readers evaluate a research strategy prior to implementation and without access to results. It can also make it easier for designs to be shared, replicated, and critiqued.
Author: Graeme Blair [aut, cre] , Jasper Cooper [aut] , Alexander Coppock [aut] , Macartan Humphreys [aut] , Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>

Diff between DeclareDesign versions 1.0.6 dated 2024-01-17 and 1.0.8 dated 2024-03-07

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Package aides updated to version 1.3.2 with previous version 1.3.1 dated 2024-02-03

Title: Additive Information & Details of Evidence Synthesis
Description: A supportive collection of functions for pooled analysis of aggregate data. The current version supports users to test assumptions before relevant analysis of bias from study size and sequential analysis such as mentioned by Wetterslev, J., Jakobsen, J. C., & Gluud, C. (2017) <doi:10.1186/s12874-017-0315-7>.
Author: Enoch Kang [aut, cre]
Maintainer: Enoch Kang <y.enoch.kang@gmail.com>

Diff between aides versions 1.3.1 dated 2024-02-03 and 1.3.2 dated 2024-03-07

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