Sat, 21 Jan 2023

Package rddensity updated to version 2.4 with previous version 2.3 dated 2022-11-30

Title: Manipulation Testing Based on Density Discontinuity
Description: Density discontinuity testing (a.k.a. manipulation testing) is commonly employed in regression discontinuity designs and other program evaluation settings to detect perfect self-selection (manipulation) around a cutoff where treatment/policy assignment changes. This package implements manipulation testing procedures using the local polynomial density estimators: rddensity() to construct test statistics and p-values given a prespecified cutoff, rdbwdensity() to perform data-driven bandwidth selection, and rdplotdensity() to construct density plots.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

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Package LSX updated to version 1.3.0 with previous version 1.2.0 dated 2022-12-04

Title: Semi-Supervised Algorithm for Document Scaling
Description: A word embeddings-based semi-supervised model for document scaling Watanabe (2020) <doi:10.1080/19312458.2020.1832976>. LSS allows users to analyze large and complex corpora on arbitrary dimensions with seed words exploiting efficiency of word embeddings (SVD, Glove). It can generate word vectors on a users-provided corpus or incorporate a pre-trained word vectors.
Author: Kohei Watanabe [aut, cre, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package funGp updated to version 0.3.1 with previous version 0.3.0 dated 2022-05-30

Title: Gaussian Process Models for Scalar and Functional Inputs
Description: Construction and smart selection of Gaussian process models for analysis of computer experiments with emphasis on treatment of functional inputs that are regularly sampled. This package offers: (i) flexible modeling of functional-input regression problems through the fairly general Gaussian process model; (ii) built-in dimension reduction for functional inputs; (iii) heuristic optimization of the structural parameters of the model (e.g., active inputs, kernel function, type of distance). Metamodeling background is provided in Betancourt et al. (2020) <doi:10.1016/j.ress.2020.106870>. The algorithm for structural parameter optimization is described in <https://hal.archives-ouvertes.fr/hal-02532713>.
Author: Jose Betancourt [cre, aut], Francois Bachoc [aut], Thierry Klein [aut], Jeremy Rohmer [aut], Yves Deville [ctb], Deborah Idier [ctb]
Maintainer: Jose Betancourt <djbetancourt@uninorte.edu.co>

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Package usedthese updated to version 0.2.0 with previous version 0.1.0 dated 2023-01-16

Title: Summarises Package & Function Usage
Description: Consistent with 'knitr' syntax highlighting, 'usedthese' adds a summary table of R package & function usage to a Quarto document and enables aggregation of usage across a Quarto website. Learn more about 'usedthese' at <https://cgoo4.github.io/usedthese/>.
Author: Carl Goodwin [aut, cre]
Maintainer: Carl Goodwin <carl.goodwin@quantumjitter.com>

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Package traj updated to version 1.3 with previous version 1.2 dated 2015-01-13

Title: Trajectory Analysis
Description: Implements the three-step procedure proposed by Leffondree et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) calculating 24 measures describing the features of the trajectories; (2) using factor analysis to select a subset of the 24 measures and (3) using cluster analysis to identify clusters of trajectories, and classify each individual trajectory in one of the clusters.
Author: Marie-Pierre Sylvestre [aut], Dan Vatnik [aut], Gillis Delmas TCHOUANGUE DINKOU [cre]
Maintainer: Gillis Delmas TCHOUANGUE DINKOU <gillisdla2@gmail.com>

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Package SMOTEWB updated to version 0.1.3 with previous version 0.1.0 dated 2022-12-20

Title: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
Description: Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A. Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>.
Author: Fatih Saglam [aut, cre]
Maintainer: Fatih Saglam <saglamf89@gmail.com>

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Package rstac updated to version 0.9.2-1 with previous version 0.9.2 dated 2023-01-19

Title: Client Library for SpatioTemporal Asset Catalog
Description: Provides functions to access, search and download spacetime earth observation data via SpatioTemporal Asset Catalog (STAC). This package supports the version 1.0.0 (and older) of the STAC specification (<https://github.com/radiantearth/stac-spec>). For further details see Simoes et al. (2021) <doi:10.1109/IGARSS47720.2021.9553518>.
Author: Rolf Simoes [aut], Felipe Carvalho [aut, cre], Brazil Data Cube Team [aut], National Institute for Space Research [cph]
Maintainer: Felipe Carvalho <lipecaso@gmail.com>

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Package RcppSimdJson updated to version 0.1.9 with previous version 0.1.8 dated 2022-10-18

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <arXiv:1902.08318> paper for more details about 'simdjson'. This package parses 'JSON' from string, file, or remote URLs under a variety of settings.
Author: Dirk Eddelbuettel, Brendan Knapp, Daniel Lemire
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.1.8 dated 2022-10-18 and 0.1.9 dated 2023-01-21

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Package lpdensity updated to version 2.4 with previous version 2.3.2 dated 2022-11-30

Title: Local Polynomial Density Estimation and Inference
Description: Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions, documented in Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

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Package gRaven updated to version 1.1.8 with previous version 1.1.7 dated 2023-01-20

Title: Bayes Nets: 'RHugin' Emulation with 'gRain'
Description: Wrappers for functions in the 'gRain' package to emulate some 'RHugin' functionality, allowing the building of Bayesian networks consisting on discrete chance nodes incrementally, through adding nodes, edges and conditional probability tables, the setting of evidence, both 'hard' (boolean) or 'soft' (likelihoods), querying marginal probabilities and normalizing constants, and generating sets of high-probability configurations. Computations will typically not be so fast as they are with 'RHugin', but this package should assist users without access to 'Hugin' to use code written to use 'RHugin'.
Author: Peter Green [aut, cre], Therese Graversen [ctb], Soren Hojsgaard [ctb]
Maintainer: Peter Green <P.J.Green@bristol.ac.uk>

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Package fqar updated to version 0.3.0 with previous version 0.2.1 dated 2022-08-23

Title: Floristic Quality Assessment Tools for R
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.
Author: Alexia Myers [aut], Andrew Gard [aut, cre]
Maintainer: Andrew Gard <agard@lakeforest.edu>

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Package CDMConnector updated to version 0.4.0 with previous version 0.3.1 dated 2022-12-01

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre]
Maintainer: Adam Black <black@ohdsi.org>

Diff between CDMConnector versions 0.3.1 dated 2022-12-01 and 0.4.0 dated 2023-01-21

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Package BipartiteModularityMaximization updated to version 1.23.120.1 with previous version 1.22.415.2 dated 2022-04-19

Title: Partition Bipartite Network into Non-Overlapping Biclusters by Optimizing Bipartite Modularity
Description: Function bipmod() that partitions a bipartite network into non-overlapping biclusters by maximizing bipartite modularity defined in Barber (2007) <doi:10.1103/PhysRevE.76.066102> using the bipartite version of the algorithm described in Treviño (2015) <doi:10.1088/1742-5468/2015/02/P02003>.
Author: Tianlong Chen [aut], Weibin Zhang [cre, ctb], Suresh Bhavnani [cph, fnd]
Maintainer: Weibin Zhang <wbzhang.ustc@gmail.com>

Diff between BipartiteModularityMaximization versions 1.22.415.2 dated 2022-04-19 and 1.23.120.1 dated 2023-01-21

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 LICENSE     |    4 ++--
 MD5         |    8 ++++----
 NEWS.md     |   18 ++++++++++++++++++
 README.md   |   10 ++++++++--
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More information about BipartiteModularityMaximization at CRAN
Permanent link

Package restatapi updated to version 0.14.1 with previous version 0.13.3 dated 2022-05-31

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

Diff between restatapi versions 0.13.3 dated 2022-05-31 and 0.14.1 dated 2023-01-21

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Package pbdZMQ updated to version 0.3-9 with previous version 0.3-8 dated 2022-10-25

Title: Programming with Big Data -- Interface to 'ZeroMQ'
Description: 'ZeroMQ' is a well-known library for high-performance asynchronous messaging in scalable, distributed applications. This package provides high level R wrapper functions to easily utilize 'ZeroMQ'. We mainly focus on interactive client/server programming frameworks. For convenience, a minimal 'ZeroMQ' library (4.2.2) is shipped with 'pbdZMQ', which can be used if no system installation of 'ZeroMQ' is available. A few wrapper functions compatible with 'rzmq' are also provided.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], Christian Heckendorf [aut] , George Ostrouchov [aut] , Whit Armstrong [ctb] , Brian Ripley [ctb] , R Core team [ctb] , Philipp A. [ctb] , Elliott Sales de Andrade [ctb] , Spencer Aiello [ctb] , Paul Andre [...truncated...]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdZMQ versions 0.3-8 dated 2022-10-25 and 0.3-9 dated 2023-01-21

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More information about pbdZMQ at CRAN
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Package tidyfit updated to version 0.6.1 with previous version 0.6.0 dated 2022-11-25

Title: Regularized Linear Modeling with Tidy Data
Description: An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>

Diff between tidyfit versions 0.6.0 dated 2022-11-25 and 0.6.1 dated 2023-01-21

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More information about tidyfit at CRAN
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Package healthyR.data updated to version 1.0.2 with previous version 1.0.1 dated 2021-04-09

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

Diff between healthyR.data versions 1.0.1 dated 2021-04-09 and 1.0.2 dated 2023-01-21

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Package strex updated to version 1.6.0 with previous version 1.5.1 dated 2023-01-14

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged: it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package hdf5r updated to version 1.3.8 with previous version 1.3.7 dated 2022-10-03

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/HDF5/doc/RM/RM_H5Front.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package pvLRT updated to version 0.5 with previous version 0.4 dated 2022-02-25

Title: Likelihood Ratio Test-Based Approaches to Pharmacovigilance
Description: A suite of likelihood ratio test based methods to use in pharmacovigilance. Contains various testing and post-processing functions.
Author: Saptarshi Chakraborty [aut, cre], Marianthi Markatou [aut], Anran Liu [ctb]
Maintainer: Saptarshi Chakraborty <chakra.saptarshi@gmail.com>

Diff between pvLRT versions 0.4 dated 2022-02-25 and 0.5 dated 2023-01-21

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Package BMRMM updated to version 0.0.3 with previous version 0.0.2 dated 2023-01-06

Title: An Implementation of the Bayesian Markov (Renewal) Mixed Models
Description: The Bayesian Markov renewal mixed models take sequentially observed categorical data with continuous duration times, being either state duration or inter-state duration. These models comprehensively analyze the stochastic dynamics of both state transitions and duration times under the influence of multiple exogenous factors and random individual effect. The default setting flexibly models the transition probabilities using Dirichlet mixtures and the duration times using gamma mixtures. It also provides the flexibility of modeling the categorical sequences using Bayesian Markov mixed models alone, either ignoring the duration times altogether or dividing duration time into multiples of an additional category in the sequence by a user-specific unit. The package allows extensive inference of the state transition probabilities and the duration times as well as relevant plots and graphs. It also includes a synthetic data set to demonstrate the desired format of input data set and the utilit [...truncated...]
Author: Yutong Wu [aut, cre], Abhra Sarkar [aut]
Maintainer: Yutong Wu <yutong.wu@utexas.edu>

Diff between BMRMM versions 0.0.2 dated 2023-01-06 and 0.0.3 dated 2023-01-21

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Package rglplus updated to version 1.1 with previous version 1.0 dated 2022-02-09

Title: Extension of the 'rgl' 3D Visualization Package
Description: Provides 3D plotting routines that facilitate the use of the 'rgl' package and extend its functionality. For example, the routines allow the user to directly control the camera position & orientation, as well as to generate 3D movies with a moving observer.
Author: Danail Obreschkow
Maintainer: Danail Obreschkow <danail.obreschkow@gmail.com>

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Package mapme.biodiversity updated to version 0.3.0 with previous version 0.2.1 dated 2022-09-09

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

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Package likelihoodR updated to version 1.0.9 with previous version 1.0.8 dated 2022-10-27

Title: Likelihood Analyses for Common Statistical Tests
Description: A collection of functions that calculate the log likelihood (support) for a range of statistical tests. Where possible the likelihood function and likelihood interval for the observed data are displayed. The evidential approach used here is based on the book "Likelihood" by A.W.F. Edwards (1992, ISBN-13 : 978-0801844430), "Statistical Evidence" by R. Royall (1997, ISBN-13 : 978-0412044113), S.N. Goodman & R. Royall (2011) <doi:10.2105/AJPH.78.12.1568>, "Understanding Psychology as a Science" by Z. Dienes (2008, ISBN-13 : 978-0230542310), S. Glover & P. Dixon <https://link.springer.com/article/10.3758/BF03196706> and others. This package accompanies "Evidence-Based Statistics" by P. Cahusac (2020, ISBN-13 : 978-1119549802).
Author: Peter Cahusac [aut, cre]
Maintainer: Peter Cahusac <peteqsac@gmail.com>

Diff between likelihoodR versions 1.0.8 dated 2022-10-27 and 1.0.9 dated 2023-01-21

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Package SMLE updated to version 2.1-0 with previous version 2.0-2 dated 2021-12-09

Title: Joint Feature Screening via Sparse MLE
Description: Feature screening is a powerful tool in processing ultrahigh dimensional data. It attempts to screen out most irrelevant features in preparation for a more elaborate analysis. Xu and Chen (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening method SMLE, which naturally incorporates the joint effects among features in the screening process. This package provides an efficient implementation of SMLE-screening for high-dimensional linear, logistic, and Poisson models. The package also provides a function for conducting accurate post-screening feature selection based on an iterative hard-thresholding procedure and a user-specified selection criterion.
Author: Qianxiang Zang [aut, cre], Chen Xu [aut], Kelly Burkett [aut],
Maintainer: Qianxiang Zang <qzang023@uottawa.ca>

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Package rpymat updated to version 0.1.4 with previous version 0.1.3 dated 2022-08-06

Title: Easy to Configure an Isolated 'Python' Environment
Description: Aims to create a single isolated 'Miniconda' and 'Python' environment for reproducible pipeline scripts. The package provides utilities to run system command within the 'conda' environment, making it easy to install, launch, manage, and stop 'Jupyter-lab'.
Author: Zhengjia Wang [cph, aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package dipsaus updated to version 0.2.6 with previous version 0.2.5 dated 2022-10-22

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package roclang updated to version 0.2.1 with previous version 0.2.0 dated 2022-05-15

Title: Functions for Diffusing Function Documentations into 'Roxygen' Comments
Description: Efficient diffusing of content across function documentations. Sections, parameters or dot parameters are extracted from function documentations and turned into valid Rd character strings, which are ready to diffuse into the 'roxygen' comments of another function by inserting inline code.
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>

Diff between roclang versions 0.2.0 dated 2022-05-15 and 0.2.1 dated 2023-01-21

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Package hfr updated to version 0.6.1 with previous version 0.6.0 dated 2022-08-13

Title: Estimate Hierarchical Feature Regression Models
Description: Provides functions for the estimation, plotting, predicting and cross-validation of hierarchical feature regression models as described in Pfitzinger (2021) <arXiv:2107.04831>.
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>

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Package recommenderlab updated to version 1.0.3 with previous version 1.0.2 dated 2022-08-17

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Author: Michael Hahsler [aut, cre, cph] , Bregt Vereet [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package pins updated to version 1.1.0 with previous version 1.0.3 dated 2022-09-24

Title: Pin, Discover and Share Resources
Description: Publish data sets, models, and other R objects, making it easy to share them across projects and with your colleagues. You can pin objects to a variety of "boards", including local folders (to share on a networked drive or with 'DropBox'), 'RStudio' connect, Amazon S3, and more.
Author: Julia Silge [cre, aut] , Hadley Wickham [aut] , Javier Luraschi [aut], RStudio [cph, fnd]
Maintainer: Julia Silge <julia.silge@rstudio.com>

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Package h3jsr updated to version 1.3.1 with previous version 1.3.0 dated 2022-10-05

Title: Access Uber's H3 Library
Description: Provides access to Uber's H3 library for geospatial indexing via its JavaScript transpile 'h3-js' <https://github.com/uber/h3-js> and 'V8' <https://github.com/jeroen/v8>.
Author: Lauren O'Brien [aut, cre]
Maintainer: Lauren O'Brien <obrlsoilau@gmail.com>

Diff between h3jsr versions 1.3.0 dated 2022-10-05 and 1.3.1 dated 2023-01-21

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Package compound.Cox updated to version 3.25 with previous version 3.24 dated 2023-01-05

Title: Univariate Feature Selection and Compound Covariate for Predicting Survival
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2019)<DOI:10.1016/j.cmpb.2018.10.020>. Algorithms for generating correlated gene expressions are also available.
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between compound.Cox versions 3.24 dated 2023-01-05 and 3.25 dated 2023-01-21

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Package ClusterR updated to version 1.3.0 with previous version 1.2.9 dated 2022-12-13

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package autonewsmd updated to version 0.0.5 with previous version 0.0.4 dated 2022-10-31

Title: Auto-Generate Changelog using Conventional Commits
Description: Automatically generate a changelog file (NEWS.md / CHANGELOG.md) from the git history using conventional commit messages (<https://www.conventionalcommits.org/en/v1.0.0/>).
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

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Package mudata2 updated to version 1.1.3 with previous version 1.1.2 dated 2020-03-20

Title: Interchange Tools for Multi-Parameter Spatiotemporal Data
Description: Formatting and structuring multi-parameter spatiotemporal data is often a time-consuming task. This package offers functions and data structures designed to easily organize and visualize these data for applications in geology, paleolimnology, dendrochronology, and paleoclimate. See Dunnington and Spooner (2018) <doi:10.1139/facets-2017-0026>.
Author: Dewey Dunnington [aut, cre]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

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 mudata2-1.1.3/mudata2/man/reexports.Rd                     |    4 
 mudata2-1.1.3/mudata2/man/second_lake_temp.Rd              |    6 
 mudata2-1.1.3/mudata2/man/selecters.Rd                     |   20 
 mudata2-1.1.3/mudata2/man/write_mudata.Rd                  |   10 
 mudata2-1.1.3/mudata2/tests/testthat.R                     |only
 mudata2-1.1.3/mudata2/tests/testthat/test-mudata-io.R      |  279 ++--
 mudata2-1.1.3/mudata2/tests/testthat/test-mudata.R         |  288 ++--
 mudata2-1.1.3/mudata2/tests/testthat/test-mudata_helpers.R |   88 -
 mudata2-1.1.3/mudata2/tests/testthat/test-mudata_subset.R  |   76 -
 mudata2-1.1.3/mudata2/tests/testthat/test-rename.R         |  108 -
 mudata2-1.1.3/mudata2/tests/testthat/test-types.R          |  287 ++--
 mudata2-1.1.3/mudata2/tests/testthat/test-utils.R          |   88 -
 mudata2-1.1.3/mudata2/vignettes/mudata2.Rmd                |   14 
 mudata2-1.1.3/mudata2/vignettes/mudata_create.Rmd          |   16 
 46 files changed, 2569 insertions(+), 2028 deletions(-)

More information about mudata2 at CRAN
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