Sun, 30 Jun 2024

Package lincom updated to version 1.2 with previous version 1.1 dated 2023-06-21

Title: Linear Biomarker Combination: Empirical Performance Optimization
Description: Perform two linear combination methods for biomarkers: (1) Empirical performance optimization for specificity (or sensitivity) at a controlled sensitivity (or specificity) level of Huang and Sanda (2022) <doi:10.1214/22-aos2210>, and (2) weighted maximum score estimator with empirical minimization of averaged false positive rate and false negative rate. Both adopt the algorithms of Huang and Sanda (2022) <doi:10.1214/22-aos2210>. 'MOSEK' solver is used and needs to be installed; an academic license for 'MOSEK' is free.
Author: Yijian Huang <yhuang5@emory.edu>
Maintainer: Yijian Huang <yhuang5@emory.edu>

Diff between lincom versions 1.1 dated 2023-06-21 and 1.2 dated 2024-06-30

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Package lhs updated to version 1.2.0 with previous version 1.1.6 dated 2022-12-17

Title: Latin Hypercube Samples
Description: Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

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Package robustHD updated to version 0.8.1 with previous version 0.8.0 dated 2023-09-26

Title: Robust Methods for High-Dimensional Data
Description: Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression. Specifically, the package implements robust least angle regression (Khan, Van Aelst & Zamar, 2007; <doi:10.1198/016214507000000950>), (robust) groupwise least angle regression (Alfons, Croux & Gelper, 2016; <doi:10.1016/j.csda.2015.02.007>), and sparse least trimmed squares regression (Alfons, Croux & Gelper, 2013; <doi:10.1214/12-AOAS575>).
Author: Andreas Alfons [aut, cre] , Dirk Eddelbuettel [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package rcorpora updated to version 2.0.1 with previous version 2.0.0 dated 2018-07-17

Title: A Collection of Small Text Corpora of Interesting Data
Description: A collection of small text corpora of interesting data. It contains all data sets from 'dariusk/corpora'. Some examples: names of animals: birds, dinosaurs, dogs; foods: beer categories, pizza toppings; geography: English towns, rivers, oceans; humans: authors, US presidents, occupations; science: elements, planets; words: adjectives, verbs, proverbs, US president quotes.
Author: Darius Kazemi, Cole Willsea, Serin Delaunay, Karl Swedberg, Matthew Rothenberg, Greg Kennedy, Nathaniel Mitchell, Javier Arce, Mark Sample, Parker Higgins, Allison Parrish, Matthew Hokanson, Aaron Marriner, Casey Kolderup, Michael Paulukonis, Neil Fr [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package netplot updated to version 0.3-0 with previous version 0.2-0 dated 2023-09-18

Title: Beautiful Graph Drawing
Description: A graph visualization engine that emphasizes on aesthetics at the same time providing default parameters that yield out-of-the-box-nice visualizations. The package is built on top of 'The Grid Graphics Package' and seamlessly work with 'igraph' and 'network' objects.
Author: George Vega Yon [aut, cre] , Porter Bischoff [aut]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package metrica updated to version 2.1.0 with previous version 2.0.3 dated 2023-04-14

Title: Prediction Performance Metrics
Description: A compilation of more than 80 functions designed to quantitatively and visually evaluate prediction performance of regression (continuous variables) and classification (categorical variables) of point-forecast models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For regression, it includes functions to generate plots (scatter, tiles, density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE, RMSE), error decomposition (e.g. lack of accuracy-precision), model efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr), symmetric regression coefficients (intercept, slope), and mean absolute scaled error (MASE) for time series predictions. For classification (binomial and multinomial), it offers functions to generate and plot confusion matrices, and to estimate performance metrics such as accuracy, precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and man [...truncated...]
Author: Adrian A. Correndo [aut, cre, cph] , Luiz H. Moro Rosso [aut] , Rai Schwalbert [aut] , Carlos Hernandez [aut] , Leonardo M. Bastos [aut] , Luciana Nieto [aut] , Dean Holzworth [aut], Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <acorrend@uoguelph.ca>

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Package jlmerclusterperm updated to version 1.1.4 with previous version 1.1.3 dated 2024-03-04

Title: Cluster-Based Permutation Analysis for Densely Sampled Time Data
Description: An implementation of fast cluster-based permutation analysis (CPA) for densely-sampled time data developed in Maris & Oostenveld, 2007 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects) regression models for the calculation of timewise statistics. Provides both a wholesale and a piecemeal interface to the CPA procedure with an emphasis on interpretability and diagnostics. Integrates 'Julia' libraries 'MixedModels.jl' and 'GLM.jl' for performance improvements, with additional functionalities for interfacing with 'Julia' from 'R' powered by the 'JuliaConnectoR' package.
Author: June Choe [aut, cre, cph]
Maintainer: June Choe <jchoe001@gmail.com>

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Package nodbi updated to version 0.10.5 with previous version 0.10.4 dated 2024-03-05

Title: 'NoSQL' Database Connector
Description: Simplified document database access and manipulation, providing a common API across supported 'NoSQL' databases 'Elasticsearch', 'CouchDB', 'MongoDB' as well as 'SQLite/JSON1', 'PostgreSQL', and 'DuckDB'.
Author: Ralf Herold [aut, cre] , Scott Chamberlain [aut] , Rich FitzJohn [aut], Jeroen Ooms [aut]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package mlr3verse updated to version 0.3.0 with previous version 0.2.8 dated 2023-04-26

Title: Easily Install and Load the 'mlr3' Package Family
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.
Author: Michel Lang [aut] , Patrick Schratz [aut] , Marc Becker [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package ctrdata updated to version 1.19.0 with previous version 1.18.0 dated 2024-05-13

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Documents in registers associated with trials can also be downloaded. Other functions identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the registers, merge variables and update queries. The package can be used for meta-analysis and trend-analysis of the design and cond [...truncated...]
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package heimdall updated to version 1.0.717 with previous version 1.0.707 dated 2024-06-22

Title: Drift Adaptable Models
Description: By analyzing streaming datasets, it is possible to observe significant changes in the data distribution or models' accuracy during their prediction (concept drift). The goal of 'heimdall' is to measure when concept drift occurs. The package makes available several state-of-the-art methods. It also tackles how to adapt models in a nonstationary context. Some concept drifts methods are described in Tavares (2022) <doi:10.1007/s12530-021-09415-z>.
Author: Lucas Tavares [aut], Leonardo Carvalho [aut], Diego Carvalho [aut], Esther Pacitti [aut], Fabio Porto [aut], Eduardo Ogasawara [aut, ths, cre] , Federal Center for Technological Education of Rio de Janeiro [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package erify updated to version 0.6.0 with previous version 0.4.0 dated 2022-10-04

Title: Check Arguments and Generate Readable Error Messages
Description: Provides several validator functions for checking if arguments passed by users have valid types, lengths, etc. and for generating informative and well-formatted error messages in a consistent style. Also provides tools for users to create their own validator functions. The error message style used is adopted from <https://style.tidyverse.org/error-messages.html>.
Author: Renfei Mao
Maintainer: Renfei Mao <renfeimao@gmail.com>

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Package file2meco updated to version 0.8.0 with previous version 0.7.1 dated 2024-03-07

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

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Package PoPdesign updated to version 1.1.0 with previous version 1.0.4 dated 2023-12-10

Title: Posterior Predictive (PoP) Design for Phase I Clinical Trials
Description: The primary goal of phase I clinical trials is to find the maximum tolerated dose (MTD). To reach this objective, we introduce a new design for phase I clinical trials, the posterior predictive (PoP) design. The PoP design is an innovative model-assisted design that is as simply as the conventional algorithmic designs as its decision rules can be pre-tabulated prior to the onset of trial, but is of more flexibility of selecting diverse target toxicity rates and cohort sizes. The PoP design has desirable properties, such as coherence and consistency. Moreover, the PoP design provides better empirical performance than the BOIN and Keyboard design with respect to high average probabilities of choosing the MTD and slightly lower risk of treating patients at subtherapeutic or overly toxic doses.
Author: Chenqi Fu [aut], Xinying Fang [aut, cre], Shouhao Zhou [aut]
Maintainer: Xinying Fang <xf.research@outlook.com>

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Package multilevelcoda updated to version 1.3.0.1 with previous version 1.3.0 dated 2024-06-11

Title: Estimate Bayesian Multilevel Models for Compositional Data
Description: Implement Bayesian Multilevel Modelling for compositional data in a multilevel framework. Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models.
Author: Flora Le [aut, cre] , Joshua F. Wiley [aut]
Maintainer: Flora Le <13florale@gmail.com>

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Package moderndive updated to version 0.6.1 with previous version 0.5.5 dated 2022-12-01

Title: Tidyverse-Friendly Introductory Linear Regression
Description: Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Author: Albert Y. Kim [aut, cre] , Chester Ismay [aut] , Andrew Bray [ctb] , Delaney Moran [ctb], Evgeni Chasnovski [ctb] , Will Hopper [ctb] , Benjamin S. Baumer [ctb] , Marium Tapal [ctb] , Wayne Ndlovu [ctb], Catherine Peppers [ctb], Annah Mutaya [ctb], A [...truncated...]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

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Package BayesSUR updated to version 2.2-1 with previous version 2.2-0 dated 2024-06-13

Title: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

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Package mevr updated to version 1.1.1 with previous version 1.0.0 dated 2024-06-15

Title: Fitting the Metastatistical Extreme Value Distribution MEVD
Description: Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. The data can also be left-censored prior to a fit. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.
Author: Harald Schellander [aut, cre] , Alexander Lieb [ctb] , Marc-Andre Falkensteiner [ctb]
Maintainer: Harald Schellander <harald.schellander@geosphere.at>

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Package mxsem (with last version 0.0.9) was removed from CRAN

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

2024-05-05 0.0.9
2023-10-03 0.0.8
2023-08-11 0.0.5
2023-08-10 0.0.4

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