Mon, 09 Oct 2023

Package pixiedust updated to version 0.9.4 with previous version 0.9.1 dated 2021-01-15

Title: Tables so Beautifully Fine-Tuned You Will Believe It's Magic
Description: The introduction of the 'broom' package has made converting model objects into data frames as simple as a single function. While the 'broom' package focuses on providing tidy data frames that can be used in advanced analysis, it deliberately stops short of providing functionality for reporting models in publication-ready tables. 'pixiedust' provides this functionality with a programming interface intended to be similar to 'ggplot2's system of layers with fine tuned control over each cell of the table. Options for output include printing to the console and to the common markdown formats (markdown, HTML, and LaTeX). With a little 'pixiedust' (and happy thoughts) tables can really fly.
Author: Benjamin Nutter [aut, cre], David Kretch [ctb]
Maintainer: Benjamin Nutter <benjamin.nutter@gmail.com>

Diff between pixiedust versions 0.9.1 dated 2021-01-15 and 0.9.4 dated 2023-10-09

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Package glmtoolbox updated to version 0.1.9 with previous version 0.1.8 dated 2023-08-15

Title: Set of Tools to Data Analysis using Generalized Linear Models
Description: Set of tools to the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial and random-clumped binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) Zero-inflated and zero-altered regression models to deal with zero-excess in count data; (6) generalized estimating equations for cluster correlated data.
Author: Luis Hernando Vanegas [aut, cre], Luz Marina Rondon [aut], Gilberto A. Paula [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>

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Package phylopath updated to version 1.2.0 with previous version 1.1.3 dated 2021-10-04

Title: Perform Phylogenetic Path Analysis
Description: A comprehensive and easy to use R implementation of confirmatory phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer (2012) <doi:10.1111/j.1558-5646.2012.01790.x>.
Author: Wouter van der Bijl [aut, cre]
Maintainer: Wouter van der Bijl <wouter@zoology.ubc.ca>

Diff between phylopath versions 1.1.3 dated 2021-10-04 and 1.2.0 dated 2023-10-09

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Package V8 updated to version 4.4.0 with previous version 4.3.3 dated 2023-07-18

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package rpart updated to version 4.1.21 with previous version 4.1.19 dated 2022-10-21

Title: Recursive Partitioning and Regression Trees
Description: Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.
Author: Terry Therneau [aut], Beth Atkinson [aut, cre], Brian Ripley [trl]
Maintainer: Beth Atkinson <atkinson@mayo.edu>

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Package rempsyc updated to version 0.1.7 with previous version 0.1.6 dated 2023-09-13

Title: Convenience Functions for Psychology
Description: Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
Author: Remi Theriault [aut, cre]
Maintainer: Remi Theriault <remi.theriault@mail.mcgill.ca>

Diff between rempsyc versions 0.1.6 dated 2023-09-13 and 0.1.7 dated 2023-10-09

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Package OneArm2stage updated to version 1.2.1 with previous version 1.1.5 dated 2022-12-01

Title: Phase II Single-Arm Two-Stage Designs with Time-to-Event Outcomes
Description: Two-stage design for single-arm phase II trials with time-to-event endpoints (e.g., clinical trials on immunotherapies among cancer patients) can be calculated using this package. Two notable advantages of the package: 1) It provides flexible choices from three design methods (optimal, minmax, and admissible), and 2) the power of the design is more accurately calculated using the exact variance in the one-sample log-rank test. The package can be used for 1) planning the sample sizes and other design parameters, and 2) conducting the interim and final analyses for the Go/No-go decisions. More details about the design method can be found in: Wu, J, Chen L, Wei J, Weiss H, Chauhan A. (2020). <doi:10.1002/pst.1983>.
Author: Xiaomeng Yuan [aut, cre], Haitao Pan [aut], Jianrong Wu [aut]
Maintainer: Xiaomeng Yuan <xiaomeng.yuan@stjude.org>

Diff between OneArm2stage versions 1.1.5 dated 2022-12-01 and 1.2.1 dated 2023-10-09

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New package mvngGrAd with initial version 0.1.6
Package: mvngGrAd
Title: Moving Grid Adjustment in Plant Breeding Field Trials
Version: 0.1.6
Date: 2023-10-09
Depends: methods, stats
Author: Frank Technow
Maintainer: Frank Technow <mvnggrad@fastmail.com>
Description: Package for moving grid adjustment in plant breeding field trials.
License: GPL (>= 2)
LazyLoad: TRUE
NeedsCompilation: no
Packaged: 2023-10-09 20:37:16 UTC; frank
Repository: CRAN
Date/Publication: 2023-10-09 22:40:06 UTC

More information about mvngGrAd at CRAN
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Package leastcostpath updated to version 2.0.12 with previous version 1.8.7 dated 2022-06-03

Title: Modelling Pathways and Movement Potential Within a Landscape
Description: Calculates cost surfaces based on slope to be used when modelling pathways and movement potential within a landscape (Lewis, 2021) <doi:10.1007/s10816-021-09522-w>.
Author: Joseph Lewis [aut, cre]
Maintainer: Joseph Lewis <josephlewis1992@gmail.com>

Diff between leastcostpath versions 1.8.7 dated 2022-06-03 and 2.0.12 dated 2023-10-09

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Package drat updated to version 0.2.4 with previous version 0.2.3 dated 2022-04-13

Title: 'Drat' R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel, with contributions by Felix Ernst, Neal Fultz, Colin Gillespie, Christoph Stepper, Thomas Leeper, Mark van der Loo, Jan Gorecki, Joey Reid, Arne Johannes Holmin, and others.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package DebiasInfer updated to version 0.2 with previous version 0.1 dated 2023-09-14

Title: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes
Description: A statistically and computationally efficient debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes. The reference paper is Zhang, Giessing, and Chen (2023) <arXiv:2309.06429>.
Author: Yikun Zhang [aut, cre] , Alexander Giessing [aut] , Yen-Chi Chen [aut]
Maintainer: Yikun Zhang <yikunzhang@foxmail.com>

Diff between DebiasInfer versions 0.1 dated 2023-09-14 and 0.2 dated 2023-10-09

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Package CFtime updated to version 1.1.0 with previous version 1.0.0 dated 2023-08-11

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.10/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package bundesbank updated to version 0.1-11 with previous version 0.1-9 dated 2019-05-17

Title: Download Data from Bundesbank
Description: Download data from the time-series databases of the Bundesbank, the German central bank. See the overview at the Bundesbank website (<https://www.bundesbank.de/en/statistics/time-series-databases>) for available series. The package provides only a single function, getSeries(), which supports both traditional and real-time datasets; it will also download meta data if available. Downloaded data can automatically be arranged in various formats, such as data frames or 'zoo' series. The data may optionally be cached, so as to avoid repeated downloads of the same series.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package TSCI updated to version 3.0.4 with previous version 3.0.0 dated 2023-05-31

Title: Tools for Causal Inference with Possibly Invalid Instrumental Variables
Description: Two stage curvature identification with machine learning for causal inference in settings when instrumental variable regression is not suitable because of potentially invalid instrumental variables. Based on Guo and Buehlmann (2022) "Two Stage Curvature Identification with Machine Learning: Causal Inference with Possibly Invalid Instrumental Variables" <arXiv:2203.12808>. The vignette is available in Carl, Emmenegger, Bühlmann and Guo (2023) "TSCI: two stage curvature identification for causal inference with invalid instruments" <arXiv:2304.00513>.
Author: David Carl [aut, cre] , Corinne Emmenegger [aut] , Wei Yuan [aut], Mengchu Zheng [aut], Zijian Guo [aut]
Maintainer: David Carl <david.carl@phd.unibocconi.it>

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Package PMCMRplus updated to version 1.9.8 with previous version 1.9.7 dated 2023-07-05

Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
Description: For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehr [...truncated...]
Author: Thorsten Pohlert [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

Diff between PMCMRplus versions 1.9.7 dated 2023-07-05 and 1.9.8 dated 2023-10-09

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Package morphomap updated to version 1.5 with previous version 1.4 dated 2023-02-01

Title: Morphometric Maps, Bone Landmarking and Cross Sectional Geometry
Description: Extract cross sections from long bone meshes at specified intervals along the diaphysis. Calculate two and three-dimensional morphometric maps, cross-sectional geometric parameters, and semilandmarks on the periosteal and endosteal contours of each cross section.
Author: Antonio Profico [aut, cre], Luca Bondioli [aut], Pasquale Raia [aut], Julien Claude [ctb], Paul O'Higgins [aut], Damiano Marchi [aut]
Maintainer: Antonio Profico <antonio.profico@gmail.com>

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Package miscFuncs updated to version 1.5-5 with previous version 1.5-4 dated 2023-06-07

Title: Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering, QQplots with Simulation-Based Confidence Intervals and Development Tools
Description: Implementing various things including functions for LaTeX tables, the Kalman filter, QQ-plots with simulation-based confidence intervals, web scraping, development tools, relative risk and odds ratio.
Author: Benjamin M. Taylor
Maintainer: Benjamin M. Taylor <benjamin.taylor.software@gmail.com>

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Package generalCorr updated to version 1.2.6 with previous version 1.2.5 dated 2023-10-07

Title: Generalized Correlations, Causal Paths and Portfolio Selection
Description: Function gmcmtx0() computes a more reliable (general) correlation matrix. Since causal paths from data are important for all sciences, the package provides many sophisticated functions. causeSummBlk() and causeSum2Blk() give easy-to-interpret causal paths. Let Z denote control variables and compare two flipped kernel regressions: X=f(Y, Z)+e1 and Y=g(X, Z)+e2. Our criterion Cr1 says that if |e1*Y|>|e2*X| then variation in X is more "exogenous or independent" than in Y, and the causal path is X to Y. Criterion Cr2 requires |e2|<|e1|. These inequalities between many absolute values are quantified by four orders of stochastic dominance. Our third criterion Cr3, for the causal path X to Y, requires new generalized partial correlations to satisfy |r*(x|y,z)|< |r*(y|x,z)|. The function parcorVec() reports generalized partials between the first variable and all others. The package provides several R functions including get0outliers() for outlier detection, bigfp() for numerical int [...truncated...]
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>

Diff between generalCorr versions 1.2.5 dated 2023-10-07 and 1.2.6 dated 2023-10-09

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New package fairadapt with initial version 0.2.7
Package: fairadapt
Title: Fair Data Adaptation with Quantile Preservation
Description: An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) <arXiv:1911.06685>. The adaptation procedure uses the specified causal graph to pre-process the given training and testing data in such a way to remove the bias caused by the protected attribute. The procedure uses tree ensembles for quantile regression.
Version: 0.2.7
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://github.com/dplecko/fairadapt
BugReports: https://github.com/dplecko/fairadapt/issues
Depends: R (>= 3.5.0)
Imports: ranger (>= 0.13.1), assertthat, quantreg, qrnn, igraph, ggplot2, cowplot, scales
Suggests: testthat (>= 3.0.3), knitr, rmarkdown, rticles, mvtnorm, magick, ggraph, pdftools, microbenchmark, xtable
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-10-09 18:13:59 UTC; dragoplecko
Author: Drago Plecko [aut, cre], Nicolas Bennett [aut]
Maintainer: Drago Plecko <drago.plecko@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2023-10-09 18:30:05 UTC

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Package ECOTOXr updated to version 1.0.5 with previous version 1.0.3 dated 2023-08-21

Title: Download and Extract Data from US EPA's ECOTOX Database
Description: The US EPA ECOTOX database is a freely available database with a treasure of aquatic and terrestrial ecotoxicological data. As the online search interface doesn't come with an API, this package provides the means to easily access and search the database in R. To this end, all raw tables are downloaded from the EPA website and stored in a local SQLite database.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package walkboutr updated to version 0.3.0 with previous version 0.2.0 dated 2023-09-22

Title: Generate Walk Bouts from GPS and Accelerometry Data
Description: Process GPS and accelerometry data to generate walk bouts. A walk bout is a period of activity with accelerometer movement matching the patterns of walking with corresponding GPS measurements that confirm travel. The inputs of the 'walkboutr' package are individual-level accelerometry and GPS data. The outputs of the model are walk bouts with corresponding times, duration, and summary statistics on the sample population, which collapse all personally identifying information. These bouts can be used to measure walking both as an outcome of a change to the built environment or as a predictor of health outcomes such as a cardioprotective behavior. Kang B, Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.
Author: Lauren Blair Wilner [aut, cre, cph] , Stephen J Mooney [aut]
Maintainer: Lauren Blair Wilner <wilnerl@uw.edu>

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Package traineR updated to version 2.1.0 with previous version 2.0.4 dated 2022-08-22

Title: Predictive (Classification and Regression) Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. ( [...truncated...]
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [aut], Ariel Arroyo S. [aut], Diego Jimenez A. [aut]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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Package dglars updated to version 2.1.7 with previous version 2.1.6 dated 2020-02-26

Title: Differential Geometric Least Angle Regression
Description: Differential geometric least angle regression method for fitting sparse generalized linear models. In this version of the package, the user can fit models specifying Gaussian, Poisson, Binomial, Gamma and Inverse Gaussian family. Furthermore, several link functions can be used to model the relationship between the conditional expected value of the response variable and the linear predictor. The solution curve can be computed using an efficient predictor-corrector or a cyclic coordinate descent algorithm, as described in the paper linked to via the URL below.
Author: Luigi Augugliaro [aut, cre], Angelo Mineo [aut], Ernst Wit [aut], Hassan Pazira [aut], Michael Wichura [ctb, cph], John Burkardt [ctb, cph]
Maintainer: Luigi Augugliaro <luigi.augugliaro@unipa.it>

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Package grizbayr updated to version 1.3.5 with previous version 1.3.3 dated 2022-12-23

Title: Bayesian Inference for A|B and Bandit Marketing Tests
Description: Uses simple Bayesian conjugate prior update rules to calculate the win probability of each option, value remaining in the test, and percent lift over the baseline for various marketing objectives. References: Fink, Daniel (1997) "A Compendium of Conjugate Priors" <https://www.johndcook.com/CompendiumOfConjugatePriors.pdf>. Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" <https://vwo.com/downloads/VWO_SmartStats_technical_whitepaper.pdf>.
Author: Ryan Angi
Maintainer: Ryan Angi <angi.ryan@gmail.com>

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Package RGCCA updated to version 3.0.2 with previous version 3.0.1 dated 2023-05-08

Title: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
Description: Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: to study the relationships between blocks and to identify subsets of variables of each block which are active in their relationships with the other blocks. This package allows to (i) run R/SGCCA and related methods, (ii) help the user to find out the optimal parameters for R/SGCCA such as regularization parameters (tau or sparsity), (iii) evaluate the stability of the RGCCA results and their significance, (iv) build predictive models from the R/SGCCA. (v) Generic print() and plot() functions apply to all these functionalities.
Author: Fabien Girka [aut], Etienne Camenen [aut], Caroline Peltier [aut], Arnaud Gloaguen [aut], Vincent Guillemot [aut], Laurent Le Brusquet [ths], Arthur Tenenhaus [aut, ths, cre]
Maintainer: Arthur Tenenhaus <arthur.tenenhaus@centralesupelec.fr>

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Package viraldomain updated to version 0.0.2 with previous version 0.0.1 dated 2023-09-28

Title: Applicability Domain Methods of Viral Load and CD4 Lymphocytes
Description: Provides methods for assessing the applicability domain of models that predict viral load and CD4 (Cluster of Differentiation 4) lymphocyte counts. These methods help determine the extent of extrapolation when making predictions.
Author: Juan Pablo Acuna Gonzalez [aut, cre]
Maintainer: Juan Pablo Acuna Gonzalez <22253567@uagro.mx>

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Package success updated to version 1.0.1 with previous version 1.0.0 dated 2023-02-17

Title: Survival Control Charts Estimation Software
Description: Quality control charts for survival outcomes. Allows users to construct the Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM) <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted funnel plot for survival data <doi:10.1002/sim.1970>. These procedures can be used to monitor survival processes for a change in the failure rate.
Author: Daniel Gomon [aut, cre] , Mirko Signorelli [ctb]
Maintainer: Daniel Gomon <d.gomon@math.leidenuniv.nl>

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Package ScatterDensity updated to version 0.0.4 with previous version 0.0.3 dated 2023-07-18

Title: Density Estimation and Visualization of 2D Scatter Plots
Description: The user has the option to utilize the two-dimensional density estimation techniques called smoothed density published by Eilers and Goeman (2004) <doi:10.1093/bioinformatics/btg454>, and pareto density which was evaluated for univariate data by Thrun, Gehlert and Ultsch, 2020 <doi:10.1371/journal.pone.0238835>. Moreover, it provides visualizations of the density estimation in the form of two-dimensional scatter plots in which the points are color-coded based on increasing density. Colors are defined by the one-dimensional clustering technique called 1D distribution cluster algorithm (DDCAL) published by Lux and Rinderle-Ma (2023) <doi:10.1007/s00357-022-09428-6>.
Author: Michael Thrun [aut, cre, cph] , Felix Pape [aut, rev], Luca Brinkman [aut], Quirin Stier [aut]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package RNetCDF updated to version 2.7-1 with previous version 2.6-2 dated 2023-01-16

Title: Interface to 'NetCDF' Datasets
Description: An interface to the 'NetCDF' file formats designed by Unidata for efficient storage of array-oriented scientific data and descriptions. Most capabilities of 'NetCDF' version 4 are supported. Optional conversions of time units are enabled by 'UDUNITS' version 2, also from Unidata.
Author: Pavel Michna [aut], Milton Woods [aut, cre]
Maintainer: Milton Woods <miltonjwoods@gmail.com>

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Package openair updated to version 2.18-0 with previous version 2.17-0 dated 2023-05-02

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically regular time series and air quality measurement, meteorological data and dispersion model output can be analysed. The package is described in Carslaw and Ropkins (2012, <doi:10.1016/j.envsoft.2011.09.008>) and subsequent papers.
Author: David Carslaw [aut, cre], Jack Davison [aut], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package metap updated to version 1.9 with previous version 1.8 dated 2022-02-10

Title: Meta-Analysis of Significance Values
Description: The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and routines for graphical display.
Author: Michael Dewey [aut, cre]
Maintainer: Michael Dewey <lists@dewey.myzen.co.uk>

Diff between metap versions 1.8 dated 2022-02-10 and 1.9 dated 2023-10-09

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Package fuzzySim updated to version 4.10.5 with previous version 4.9.9 dated 2023-04-14

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting absences under specified criteria, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially described in Barbosa (2015) <doi:10.1111/2041-210X.1237 [...truncated...]
Author: Barbosa A.M.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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New package fqar with initial version 0.4.3
Package: fqar
Title: Floristic Quality Assessment Tools for R
Version: 0.4.3
Description: Tools for downloading and analyzing floristic quality assessment data. See Freyman et al. (2015) <doi:10.1111/2041-210X.12491> for more information about floristic quality assessment and the associated database.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en_US
LazyData: true
Imports: dplyr, ggplot2, httr, jsonlite, memoise, rlang, tidyr, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/equitable-equations/fqar/
BugReports: https://github.com/equitable-equations/fqar/issues
NeedsCompilation: no
Packaged: 2023-10-03 19:42:31 UTC; eloise
Author: Andrew Gard [aut, cre] , Alexia Myers [aut], Irene Luwabelwa [aut]
Maintainer: Andrew Gard <agard@lakeforest.edu>
Repository: CRAN
Date/Publication: 2023-10-09 14:10:17 UTC

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New package ymd with initial version 0.1.0
Package: ymd
Title: Parse 'YMD' Format Number or String to Date
Version: 0.1.0
Maintainer: Xianying Tan <shrektan@126.com>
Description: Convert 'YMD' format number or string to Date efficiently, using Rust's standard library. It also provides helper functions to handle Date, e.g., quick finding the beginning or end of the given period, adding months to Date, etc.
License: MIT + file LICENSE
URL: https://shrektan.github.io/ymd/, https://github.com/shrektan/ymd
BugReports: https://github.com/shrektan/ymd/issues
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
Biarch: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2023-10-09 05:42:39 UTC; shrektan
Author: Xianying Tan [aut, cre] , Hiroaki Yutani [ctb] , The authors of the dependency Rust crates [ctb]
Repository: CRAN
Date/Publication: 2023-10-09 14:00:02 UTC

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Package textshaping updated to version 0.3.7 with previous version 0.3.6 dated 2021-10-13

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between textshaping versions 0.3.6 dated 2021-10-13 and 0.3.7 dated 2023-10-09

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Package systemfonts updated to version 1.0.5 with previous version 1.0.4 dated 2022-02-11

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 1.0.4 dated 2022-02-11 and 1.0.5 dated 2023-10-09

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Package PNAR updated to version 1.6 with previous version 1.5 dated 2023-09-15

Title: Poisson Network Autoregressive Models
Description: Quasi likelihood-based methods for estimating linear and log-linear Poisson Network Autoregression models with p lags and covariates. Tools for testing the linearity versus several non-linear alternatives. Tools for simulation of multivariate count distributions, from linear and non-linear PNAR models, by using a specific copula construction. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>. Armillotta, M., Tsagris, M. and Fokianos, K. (2022c). The R-package PNAR for modelling count network time series. <arXiv:2211.02582>.
Author: Michail Tsagris [aut, cre], Mirko Armillotta [aut, cph], Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between PNAR versions 1.5 dated 2023-09-15 and 1.6 dated 2023-10-09

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Package parallelpam updated to version 1.4 with previous version 1.3 dated 2023-06-23

Title: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
Description: Application of the Partitioning-Around-Medoids (PAM) clustering algorithm described in Schubert, E. and Rousseeuw, P.J.: "Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms." Information Systems, vol. 101, p. 101804, (2021). <doi:10.1016/j.is.2021.101804>. It uses a binary format for storing and retrieval of matrices developed for the 'jmatrix' package but the functionality of 'jmatrix' is included here, so you do not need to install it. Also, it is used by package 'scellpam', so if you have installed it, you do not need to install this package. PAM can be applied to sets of data whose dissimilarity matrix can be very big. It has been tested with up to 100.000 points. It does this with the help of the code developed for other package, 'jmatrix', which allows the matrix not to be loaded in 'R' memory (which would force it to be of double type) but it gets from disk, which allows using float (or even smaller data types). Moreover [...truncated...]
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>

Diff between parallelpam versions 1.3 dated 2023-06-23 and 1.4 dated 2023-10-09

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New package kim with initial version 0.5.421
Package: kim
Title: A Toolkit for Behavioral Scientists
Version: 0.5.421
Description: A collection of functions for analyzing data typically collected or used by behavioral scientists. Examples of the functions include a function that compares groups in a factorial experimental design, a function that conducts two-way analysis of variance (ANOVA), and a function that cleans a data set generated by Qualtrics surveys. Some of the functions will require installing additional package(s). Such packages and other references are cited within the section describing the relevant functions. Many functions in this package rely heavily on these two popular R packages: Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.
License: GPL-3
URL: https://github.com/jinkim3/kim, https://jinkim.science
BugReports: https://github.com/jinkim3/kim/issues
Imports: data.table, remotes
Suggests: boot, ggplot2, moments, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-10-09 12:41:30 UTC; b
Author: Jin Kim [aut, cre]
Maintainer: Jin Kim <jin.m.kim@yale.edu>
Repository: CRAN
Date/Publication: 2023-10-09 14:00:13 UTC

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New package haploR with initial version 4.0.7
Package: haploR
Title: Query 'HaploReg', 'RegulomeDB'
Version: 4.0.7
Date: 2023-10-08
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>
Description: A set of utilities for querying 'HaploReg' <https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php>, 'RegulomeDB' <https://www.regulomedb.org/regulome-search/> web-based tools. The package connects to 'HaploReg', 'RegulomeDB' searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Suggests: knitr, rmarkdown,openxlsx
VignetteBuilder: knitr
Imports: httr,XML,tibble,RUnit,plyr,DT,RCurl,RJSONIO,methods
Depends: R (>= 3.4.0)
Encoding: UTF-8
License: GPL-3
NeedsCompilation: no
Author: Ilya Y. Zhbannikov [aut, cre], Konstantin G. Arbeev [aut], Anatoliy I. Yashin [aut]
Packaged: 2023-10-08 22:36:12 UTC; iz12
Repository: CRAN
Date/Publication: 2023-10-09 13:50:02 UTC

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New package geslaR with initial version 1.0-1
Package: geslaR
Title: Get and Manipulate the GESLA Dataset
Version: 1.0-1
Description: Promote access to the GESLA <https://gesla787883612.wordpress.com> (Global Extreme Sea Level Analysis) dataset, a higher-frequency sea-level record data from all over the world. It provides functions to download it entirely, or query subsets directly into R, without the need of downloading the full dataset. Also, it provides a built-in web-application, so that users can apply basic filters to select the data of interest, generating informative plots, and showing the selected sites.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/EireExtremes/geslaR, https://eireextremes.github.io/geslaR/
BugReports: https://github.com/EireExtremes/geslaR/issues
Depends: arrow, dplyr, R (>= 3.5.0)
Imports: cli
Suggests: bslib, DT, knitr, leaflet, leafpop, lubridate, patchwork, plotly, rmarkdown, shiny, shinyalert, shinycssloaders, shinyWidgets, testthat (>= 3.0.0), tidyverse
SystemRequirements: arrow
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-10-06 17:47:13 UTC; mayer
Author: Fernando Mayer [aut, cre] , Niamh Cahill [aut]
Maintainer: Fernando Mayer <fernando.mayer@mu.ie>
Repository: CRAN
Date/Publication: 2023-10-09 13:20:02 UTC

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New package geomultistar with initial version 1.1.1
Package: geomultistar
Title: Multidimensional Queries Enriched with Geographic Data
Version: 1.1.1
Description: Multidimensional systems allow complex queries to be carried out in an easy way. The geographical dimension, together with the temporal dimension, plays a fundamental role in multidimensional systems. Through this package, vector layers can be associated to the attributes of geographic dimensions, so that the results of multidimensional queries can be obtained directly as vector layers. The multidimensional structures on which we can define the queries can be created from a flat table or imported directly using functions from this package.
License: MIT + file LICENSE
URL: https://josesamos.github.io/geomultistar/, https://github.com/josesamos/geomultistar
BugReports: https://github.com/josesamos/geomultistar/issues
Depends: R (>= 2.10)
Imports: dplyr, rlang, RSQLite, sf, starschemar, tibble, tidyr, tidyselect
Suggests: knitr, pander, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2023-10-06 17:12:15 UTC; joses
Author: Jose Samos [aut, cre, cph]
Maintainer: Jose Samos <jsamos@ugr.es>
Repository: CRAN
Date/Publication: 2023-10-09 13:20:05 UTC

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New package galamm with initial version 0.1.0
Package: galamm
Title: Generalized Additive Latent and Mixed Models
Version: 0.1.0
Description: Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) <doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and Skrondal (2004)'s unifying framework for multilevel latent variable modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse matrix methods, Laplace approximation, and automatic differentiation. The framework includes generalized multilevel models with heteroscedastic residuals, mixed response types, factor loadings, smoothing splines, crossed random effects, and combinations thereof. Syntax for model formulation is close to 'lme4' (Bates et al. (2015) <doi:10.18637/jss.v067.i01>) and 'PLmixed' (Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>).
License: GPL (>= 3)
URL: https://github.com/LCBC-UiO/galamm, https://lcbc-uio.github.io/galamm/
BugReports: https://github.com/LCBC-UiO/galamm/issues
Encoding: UTF-8
Imports: lme4, Matrix, memoise, methods, mgcv, nlme, Rcpp, Rdpack, stats
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppEigen
LazyData: true
Suggests: covr, gamm4, ggplot2, knitr, PLmixed, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: yes
SystemRequirements: C++17
Packaged: 2023-10-07 13:18:49 UTC; oyste
Author: Oeystein Soerensen [aut, cre] , Douglas Bates [ctb], Ben Bolker [ctb], Martin Maechler [ctb], Allan Leal [ctb], Fabian Scheipl [ctb], Steven Walker [ctb], Simon Wood [ctb]
Maintainer: Oeystein Soerensen <oystein.sorensen@psykologi.uio.no>
Repository: CRAN
Date/Publication: 2023-10-09 13:40:06 UTC

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New package easybgm with initial version 0.1.0
Package: easybgm
Title: Extracting and Visualizing Bayesian Graphical Models
Version: 0.1.0
Maintainer: Karoline Huth <k.huth@uva.nl>
Description: Fit and visualize the results of a Bayesian analysis of networks commonly found in psychology. The package supports fitting cross-sectional network models fitted using the packages 'BDgraph', 'bgms' and 'BGGM'. The package provides the parameter estimates, posterior inclusion probabilities, inclusion Bayes factor, and the posterior density of the parameters. In addition, for 'BDgraph' and 'bgms' it allows to assess the posterior structure space. Furthermore, the package comes with an extensive suite for visualizing results.
License: GPL (>= 2)
Encoding: UTF-8
Imports: BDgraph, BGGM, bgms (>= 0.1.1), dplyr, ggplot2, HDInterval, igraph, qgraph
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2023-10-06 23:54:57 UTC; karolinehuth
Author: Karoline Huth [aut, cre] , Sara Keetelaar [ctb]
Repository: CRAN
Date/Publication: 2023-10-09 13:30:02 UTC

More information about easybgm at CRAN
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Package DIscBIO updated to version 1.2.1 with previous version 1.2.0 dated 2021-04-28

Title: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Description: An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
Author: Salim Ghannoum [aut, cph], Alvaro Koehn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between DIscBIO versions 1.2.0 dated 2021-04-28 and 1.2.1 dated 2023-10-09

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 NAMESPACE                              |    4 
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 58 files changed, 5829 insertions(+), 5768 deletions(-)

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Package contingencytables updated to version 2.2.0 with previous version 2.1.1 dated 2023-08-21

Title: Statistical Analysis of Contingency Tables
Description: Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.
Author: Morten Wang Fagerland [aut], Stian Lydersen [ctb], Petter Laake [ctb], Waldir Leoncio [cre], Ole Christian Lingjaerde [trl], Brad J. Biggerstaff [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between contingencytables versions 2.1.1 dated 2023-08-21 and 2.2.0 dated 2023-10-09

 DESCRIPTION                                        |    9 -
 MD5                                                |   29 ++--
 NEWS.md                                            |   53 ++++---
 R/Exact_cond_midP_linear_rank_tests_2xc.R          |    4 
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 R/Fisher_midP_test_2x2.R                           |    8 -
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 16 files changed, 134 insertions(+), 189 deletions(-)

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Permanent link

Package COINr updated to version 1.1.7 with previous version 1.1.2 dated 2023-02-10

Title: Composite Indicator Construction and Analysis
Description: A comprehensive high-level package, for composite indicator construction and analysis. It is a "development environment" for composite indicators and scoreboards, which includes utilities for construction (indicator selection, denomination, imputation, data treatment, normalisation, weighting and aggregation) and analysis (multivariate analysis, correlation plotting, short cuts for principal component analysis, global sensitivity analysis, and more). A composite indicator is completely encapsulated inside a single hierarchical list called a "coin". This allows a fast and efficient work flow, as well as making quick copies, testing methodological variations and making comparisons. It also includes many plotting options, both statistical (scatter plots, distribution plots) as well as for presenting results.
Author: William Becker [aut, cre, cph]
Maintainer: William Becker <william.becker@bluefoxdata.eu>

Diff between COINr versions 1.1.2 dated 2023-02-10 and 1.1.7 dated 2023-10-09

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 52 files changed, 2797 insertions(+), 2560 deletions(-)

More information about COINr at CRAN
Permanent link

Package CodelistGenerator updated to version 2.0.0 with previous version 1.7.0 dated 2023-08-16

Title: Generate Code Lists for the OMOP Common Data Model
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marti Catala [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CodelistGenerator versions 1.7.0 dated 2023-08-16 and 2.0.0 dated 2023-10-09

 DESCRIPTION                                         |    8 
 MD5                                                 |   79 
 NAMESPACE                                           |    1 
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 41 files changed, 6165 insertions(+), 7176 deletions(-)

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Package BeeBDC updated to version 1.0.1 with previous version 1.0.0 dated 2023-09-15

Title: Occurrence Data Cleaning
Description: Flags and checks occurrence data that are in Darwin Core format. The package includes generic functions and data as well as some that are specific to bees. This package is meant to build upon and be complimentary to other excellent occurrence cleaning packages, including 'bdc' and 'CoordinateCleaner'. This package uses datasets from several sources and particularly from the Discover Life Website, created by Ascher and Pickering (2020). For further information, please see the original publication and package website. Publication - Dorey et al. (2023) <doi:10.1101/2023.06.30.547152> and package website - Dorey et al. (2023) <https://github.com/jbdorey/BeeBDC>.
Author: James B. Dorey [aut, cre, cph] , Robert L. O'Reilly [aut] , Silas Bossert [aut] , Erica E. Fischer [aut]
Maintainer: James B. Dorey <jbdorey@me.com>

Diff between BeeBDC versions 1.0.0 dated 2023-09-15 and 1.0.1 dated 2023-10-09

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 NAMESPACE                             |    3 
 NEWS.md                               |   16 
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 man/beesTaxonomy.Rd                   |    2 
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 man/readr_BeeBDC.Rd                   |   13 
 tests/testthat/test-BeeBDCQuery.R     |   25 
 tests/testthat/test-beesChecklist.R   |    2 
 tests/testthat/test-beesTaxonomy.R    |   19 
 tests/testthat/test-countryOutlieRs.R |    4 
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 35 files changed, 1940 insertions(+), 1186 deletions(-)

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Package atakrig updated to version 0.9.8.1 with previous version 0.9.8 dated 2021-04-30

Title: Area-to-Area Kriging
Description: Point-scale variogram deconvolution from irregular/regular spatial support according to Goovaerts, P., (2008) <doi: 10.1007/s11004-007-9129-1>; ordinary area-to-area (co)Kriging and area-to-point (co)Kriging.
Author: Maogui Hu [aut, cre], Yanwei Huang [ctb], Roger Bivand [ctb]
Maintainer: Maogui Hu <humg@lreis.ac.cn>

Diff between atakrig versions 0.9.8 dated 2021-04-30 and 0.9.8.1 dated 2023-10-09

 DESCRIPTION             |   10 +--
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 17 files changed, 134 insertions(+), 201 deletions(-)

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Permanent link

New package pempi with initial version 1.0.0
Package: pempi
Title: Proportion Estimation with Marginal Proxy Information
Version: 1.0.0
Date: 2023-09-15
LazyData: true
Maintainer: Stephane Guerrier <stef.guerrier@gmail.com>
Description: A system contains easy-to-use tools for the conditional estimation of the prevalence of an emerging or rare infectious diseases using the methods proposed in Guerrier et al. (2023) <arXiv:2012.10745>.
Depends: R (>= 4.0.0)
License: AGPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/stephaneguerrier/pempi
BugReports: https://github.com/stephaneguerrier/pempi/issues
NeedsCompilation: no
Packaged: 2023-10-06 10:37:38 UTC; stephaneguerrier
Author: Stephane Guerrier [aut, cre], Maria-Pia Victoria-Feser [aut], Christoph Kuzmics [aut]
Repository: CRAN
Date/Publication: 2023-10-09 12:20:02 UTC

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New package mineSweepR with initial version 0.1.0
Package: mineSweepR
Title: Mine Sweeper Game
Version: 0.1.0
Description: This is the very popular mine sweeper game! The game requires you to find out tiles that contain mines through clues from unmasking neighboring tiles. Each tile that does not contain a mine shows the number of mines in its adjacent tiles. If you unmask all tiles that do not contain mines, you win the game; if you unmask any tile that contains a mine, you lose the game. For further game instructions, please run `help(run_game)` and check details. This game runs in X11-compatible devices with `grDevices::x11()`.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ComplexHeatmap, InteractiveComplexHeatmap, dplyr, grid, gsignal, mgc, mmand, hms, rlang, pals
NeedsCompilation: no
Packaged: 2023-10-06 14:18:39 UTC; Xiurui Zhu
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>
Repository: CRAN
Date/Publication: 2023-10-09 12:50:02 UTC

More information about mineSweepR at CRAN
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Package madshapR updated to version 1.0.2 with previous version 1.0.0 dated 2023-06-20

Title: Support Technical Processes Following 'Maelstrom Research' Standards
Description: Functions to support rigorous processes in data cleaning, evaluation, and documentation across datasets from different studies based on Maelstrom Research guidelines. The package includes the core functions to evaluate and format the main inputs that define the process, diagnose errors, and summarize and evaluate datasets and their associated data dictionaries. The main outputs are clean datasets and associated metadata, and tabular and visual summary reports. As described in Maelstrom Research guidelines for rigorous retrospective data harmonization (Fortier I and al. (2017) <doi:10.1093/ije/dyw075>).
Author: Guillaume Fabre [aut, cre] , Maelstrom-research group [cph, fnd], Alexandre Trottier [ctb], Tina Wey [ctb], Samuel El Bouzaidi Tiali [ctb]
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>

Diff between madshapR versions 1.0.0 dated 2023-06-20 and 1.0.2 dated 2023-10-09

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 madshapR-1.0.2/madshapR/man/dataset_visualize.Rd             |  265 +++---
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 84 files changed, 3806 insertions(+), 3220 deletions(-)

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New package LDAcoop with initial version 0.1.1
Package: LDAcoop
Title: Analysis of Data from Limiting Dilution Assay (LDA) with or without Cellular Cooperation
Version: 0.1.1
Maintainer: Daniel Samaga <daniel.samaga@helmholtz-munich.de>
URL: https://github.com/ZytoHMGU/LDAcoop
BugReports: https://github.com/ZytoHMGU/LDAcoop/issues
Description: Cellular cooperation compromises the established method of calculating clonogenic activity from limiting dilution assay (LDA) data. This tool provides functions that enable robust analysis in presence or absence of cellular cooperation. The implemented method incorporates the same cooperativity module to model the non-linearity associated with cellular cooperation as known from the colony formation assay (Brix et al. (2021) <doi:10.1038/s41596-021-00615-0>: "Analysis of clonogenic growth in vitro." Nature protocols).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Hmisc
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-10-06 14:21:05 UTC; daniel.samaga
Author: Daniel Samaga [cre, aut], Nikko Brix [aut], Benedek Danko [aut], Kirsten Lauber [aut], Horst Zitzelsberger [aut]
Repository: CRAN
Date/Publication: 2023-10-09 12:50:17 UTC

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Package grImport2 updated to version 0.3-0 with previous version 0.2-0 dated 2019-11-25

Title: Importing 'SVG' Graphics
Description: Functions for importing external vector images and drawing them as part of 'R' plots. This package is different from the 'grImport' package because, where that package imports 'PostScript' format images, this package imports 'SVG' format images. Furthermore, this package imports a specific subset of 'SVG', so external images must be preprocessed using a package like 'rsvg' to produce 'SVG' that this package can import. 'SVG' features that are not supported by 'R' graphics, e.g., gradient fills, can be imported and then exported via the 'gridSVG' package.
Author: Simon Potter [aut], Paul Murrell [aut, cre]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between grImport2 versions 0.2-0 dated 2019-11-25 and 0.3-0 dated 2023-10-09

 DESCRIPTION                             |    6 -
 MD5                                     |   32 ++++-----
 NAMESPACE                               |    2 
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 R/grobs.R                               |   17 ++--
 R/import.R                              |    8 ++
 R/parser.R                              |   10 +-
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 inst/NEWS.Rd                            |   21 ++++++
 man/Picture-class.Rd                    |    7 ++
 tests/test-bboxclip-output.svg.save     |    2 
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 tests/test-path-simple-output.svg.save  |    2 
 tests/test-raster.R                     |    9 +-
 tests/test-rect-output.svg.save         |    2 
 tests/test-symbol-output.svg.save       |    2 
 17 files changed, 199 insertions(+), 59 deletions(-)

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New package flowml with initial version 0.1.2
Package: flowml
Title: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data
Version: 0.1.2
Maintainer: Sebastian Malkusch <sebastian.malkusch@boehringer-ingelheim.com>
Description: Provides functionality to perform machine-learning-based modeling in a computation pipeline. Its functions contain the basic steps of machine-learning-based knowledge discovery workflows, including model training and optimization, model evaluation, and model testing. To perform these tasks, the package builds heavily on existing machine-learning packages, such as 'caret' <https://github.com/topepo/caret/> and associated packages. The package can train multiple models, optimize model hyperparameters by performing a grid search or a random search, and evaluates model performance by different metrics. Models can be validated either on a test data set, or in case of a small sample size by k-fold cross validation or repeated bootstrapping. It also allows for 0-Hypotheses generation by performing permutation experiments. Additionally, it offers methods of model interpretation and item categorization to identify the most informative features from a high dimensional data space. The funct [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/Boehringer-Ingelheim/flowml
BugReports: https://github.com/Boehringer-Ingelheim/flowml/issues
Imports: ABCanalysis, caret, data.table, dplyr, fastshap, furrr, future, magrittr, optparse, parallel, purrr, R6, readr, rjson, rlang, rsample, stats, stringr, tibble, tidyr, utils, vip
Suggests: ada, adabag, arm, bartMachine, bst, C50, caTools, class, Cubist, e1071, earth, elasticnet, evtree, fastICA, foreach, frbs, gam, gbm, ggplot2, glmnet, gpls, h2o, hda, ipred, keras, kernlab, kknn, klaR, knitr, kohonen, lars, leaps, LiblineaR, LogicReg, MASS, Matrix, mboost, mda, mgcv, monomvn, neuralnet, nnet, nnls, pamr, partDSA, party, partykit, penalized, penalizedLDA, pls, plyr, proxy, quantregForest, randomForest, ranger, rFerns, rmarkdown, rpart, rrcov, rrcovHD, RSNNS, RWeka, sda, shapviz, spls, superpc, vbmp, VGAM, xgboost
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-10-06 15:44:14 UTC; malkusch
Author: Sebastian Malkusch [aut, cre] , Kolja Becker [aut] , Alexander Peltzer [ctb] , Neslihan Kaya [ctb] , Boehringer Ingelheim Ltd. [cph, fnd]
Repository: CRAN
Date/Publication: 2023-10-09 12:50:08 UTC

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Package ecce updated to version 2.0.6 with previous version 2.0.5 dated 2023-09-02

Title: Translate English Words into Chinese, or Translate Chinese Words into English
Description: If translate English words into Chinese, there is a faster way for R user. 'RYoudaoTranslate' package provides interface to 'Youdao' <http://youdao.com/> translation open API for R user. 'entcn' package also provides similar features. But it does not support Chinese words translation into English, I have made some improvements on the basis of this software. You can pass in an English or Chinese word, ecce package support both English and Chinese translation. It also support browse translation results in website. In addition, also support obtain the pinyin of the Chinese character, so that you can more easily understand the pronunciation of the Chinese character.
Author: Xinyuan Chu [aut, cre]
Maintainer: Xinyuan Chu <chuxinyuan@outlook.com>

Diff between ecce versions 2.0.5 dated 2023-09-02 and 2.0.6 dated 2023-10-09

 DESCRIPTION           |    8 ++---
 MD5                   |   24 +++++++--------
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 R/translate.R         |    1 
 R/translate_view.R    |    1 
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 inst/doc/ecce.R       |   12 +++----
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 vignettes/ecce.Rmd    |    2 -
 13 files changed, 72 insertions(+), 72 deletions(-)

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Package azlogr updated to version 0.0.5 with previous version 0.0.4 dated 2023-01-14

Title: Logging in 'R' and Post to 'Azure Log Analytics' Workspace
Description: It extends the functionality of 'logger' package. Additional logging metadata can be configured to be collected. Logging messages are displayed on console and optionally they are sent to 'Azure Log Analytics' workspace in real-time.
Author: Vivek Atal [aut, cre]
Maintainer: Vivek Atal <atalvivek@yahoo.co.in>

Diff between azlogr versions 0.0.4 dated 2023-01-14 and 0.0.5 dated 2023-10-09

 DESCRIPTION                        |    6 -
 MD5                                |   14 +--
 NEWS.md                            |    4 
 R/logger_level.R                   |   38 ++++----
 README.md                          |    5 -
 build/vignette.rds                 |binary
 inst/doc/how-to-use-azlogr.html    |  170 ++++++++++++++++++-------------------
 tests/testthat/test-logger_level.R |   46 ++++++----
 8 files changed, 152 insertions(+), 131 deletions(-)

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Package abn updated to version 3.0.1 with previous version 3.0.0 dated 2023-09-06

Title: Modelling Multivariate Data with Additive Bayesian Networks
Description: Bayesian network analysis is a form of probabilistic graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. 'abn' provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data. The additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models with iid random effects). The usual term to describe this model selection process is structure discovery. The core functionality is concerned with model selection - deter [...truncated...]
Author: Matteo Delucchi [aut, cre] , Reinhard Furrer [aut] , Gilles Kratzer [aut] , Fraser Iain Lewis [aut] , Marta Pittavino [ctb] , Kalina Cherneva [ctb]
Maintainer: Matteo Delucchi <matteo.delucchi@math.uzh.ch>

Diff between abn versions 3.0.0 dated 2023-09-06 and 3.0.1 dated 2023-10-09

 ChangeLog                                   |    5 
 DESCRIPTION                                 |    8 
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 R/build_score_cache.R                       |    4 
 R/build_score_cache_bayes.R                 |    8 
 R/build_score_cache_mle.R                   |   60 +-
 R/fitabn.R                                  |    4 
 R/fitabn_bayes.R                            |   65 ++
 configure                                   |  713 ++++++++++++++--------------
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 src/irls_poisson_fast.cpp                   |   31 +
 src/node_binomial.h                         |    6 
 src/node_binomial_rv_inner.h                |   16 
 src/node_gaussian_rv_inner.c                |   48 +
 src/node_poisson_rv_inner.h                 |    7 
 src/utility.c                               |  156 +++---
 tests/testthat/test-build_score_cache_mle.R |   30 -
 tests/testthat/test-fitabn_bayes.R          |    2 
 tests/testthat/test-fitabn_mle.R            |    8 
 tests/testthat/test-simulateabn.R           |  102 +++-
 24 files changed, 864 insertions(+), 535 deletions(-)

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Package cwbtools (with last version 0.3.8) was removed from CRAN

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

2022-08-30 0.3.8

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Package echarty (with last version 1.6.0) was removed from CRAN

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

2023-09-20 1.6.0
2023-05-28 1.5.4
2022-11-24 1.5.0
2022-08-28 1.4.7
2022-03-31 1.4.5
2021-12-20 1.4.3
2021-11-06 1.4.2
2021-11-03 1.4.1
2021-10-24 1.4.0
2021-07-30 0.3.1
2021-06-13 0.2.0
2021-03-31 0.1.3
2021-02-16 0.1.0

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Package RMariaDB updated to version 1.3.0 with previous version 1.2.2 dated 2022-06-18

Title: Database Interface and MariaDB Driver
Description: Implements a DBI-compliant interface to MariaDB (<https://mariadb.org/>) and MySQL (<https://www.mysql.com/>) databases.
Author: Kirill Mueller [aut, cre] , Jeroen Ooms [aut] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RMariaDB versions 1.2.2 dated 2022-06-18 and 1.3.0 dated 2023-10-09

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 RMariaDB-1.3.0/RMariaDB/MD5                                   |   90 ++++----
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 RMariaDB-1.3.0/RMariaDB/NEWS.md                               |   26 ++
 RMariaDB-1.3.0/RMariaDB/R/MariaDBConnection.R                 |   31 ++
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 RMariaDB-1.3.0/RMariaDB/R/default.R                           |   35 +++
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 RMariaDB-1.3.0/RMariaDB/src/MariaRow.cpp                      |    9 
 RMariaDB-1.3.0/RMariaDB/src/MariaTypes.cpp                    |   25 +-
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 RMariaDB-1.3.0/RMariaDB/src/MariaUtils.cpp                    |   32 +--
 RMariaDB-1.3.0/RMariaDB/src/MariaUtils.h                      |    6 
 RMariaDB-1.3.0/RMariaDB/src/RMariaDB_types.h                  |   20 +
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 RMariaDB-1.3.0/RMariaDB/tests/testthat.R                      |    8 
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 RMariaDB-1.3.0/RMariaDB/tests/testthat/test-dbWriteTable.R    |   10 
 RMariaDB-1.3.0/RMariaDB/tests/testthat/test-queries.R         |   32 ++-
 RMariaDB-1.3.0/RMariaDB/tools/winlibs.R                       |   23 +-
 50 files changed, 545 insertions(+), 379 deletions(-)

More information about RMariaDB at CRAN
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