Wed, 19 Jun 2024

Package multibias updated to version 1.5.1 with previous version 1.5.0 dated 2024-05-05

Title: Simultaneous Multi-Bias Adjustment
Description: Quantify the causal effect of a binary exposure on a binary outcome with adjustment for multiple biases. The functions can simultaneously adjust for any combination of uncontrolled confounding, exposure/outcome misclassification, and selection bias. The underlying method generalizes the concept of combining inverse probability of selection weighting with predictive value weighting. Simultaneous multi-bias analysis can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.
Author: Paul Brendel [aut, cre, cph]
Maintainer: Paul Brendel <pcbrendel@gmail.com>

Diff between multibias versions 1.5.0 dated 2024-05-05 and 1.5.1 dated 2024-06-19

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Package forecast updated to version 8.23.0 with previous version 8.22.0 dated 2024-03-04

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [aut] , Christoph Bergmeir [aut] , Gabriel Caceres [aut] , Leanne Chhay [aut], Kirill Kuroptev [aut], Mitchell O'Hara-Wild [aut] , Fotios Petropoulos [aut] , Slava Razbash [aut], Earo Wang [aut] , F [...truncated...]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.22.0 dated 2024-03-04 and 8.23.0 dated 2024-06-19

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Package TMB updated to version 1.9.12 with previous version 1.9.11 dated 2024-04-03

Title: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.
Author: Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [...truncated...]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package RNifti updated to version 1.7.0 with previous version 1.6.1 dated 2024-03-06

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

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Package PrettyCols updated to version 1.1.0 with previous version 1.0.1 dated 2023-01-27

Title: Pretty Colour Palettes
Description: Defines aesthetically pleasing colour palettes.
Author: Nicola Rennie [aut, cre]
Maintainer: Nicola Rennie <nrennie35@gmail.com>

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Package Pade updated to version 1.0.7 with previous version 1.0.6 dated 2023-10-11

Title: Padé Approximant Coefficients
Description: Given a vector of Taylor series coefficients of sufficient length as input, the function returns the numerator and denominator coefficients for the Padé approximant of appropriate order (Baker, 1975) <ISBN:9780120748556>.
Author: Avraham Adler [aut, cph, cre]
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

Diff between Pade versions 1.0.6 dated 2023-10-11 and 1.0.7 dated 2024-06-19

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Package optimizeR updated to version 1.1.1 with previous version 1.1.0 dated 2024-05-27

Title: Unified Framework for Numerical Optimizers
Description: Provides a unified object-oriented framework for numerical optimizers in R. Allows for both minimization and maximization with any optimizer, optimization over more than one function argument, measuring of computation time, setting a time limit for long optimization tasks.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package JointFPM updated to version 1.2.1 with previous version 1.2.0 dated 2024-01-22

Title: A Parametric Model for Estimating the Mean Number of Events
Description: Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.
Author: Joshua P. Entrop [aut, cre, cph] , Alessandro Gasparini [ctb], Mark Clements [ctb]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>

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Package topr updated to version 2.0.2 with previous version 2.0.1 dated 2024-03-15

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Thorhildur Juliusdottir [cph, aut, cre], Andri Stefansson [aut]
Maintainer: Thorhildur Juliusdottir <totajuliusd@gmail.com>

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Package oeli updated to version 0.5.2 with previous version 0.5.0 dated 2024-05-22

Title: My Utilities for Developing Data Science Software
Description: Some general helper functions that I and maybe others find useful when developing data science software. Functionality includes argument validation, density calculation, sampling, matrix printing, user interaction, storage helpers and more. The vignettes illustrate use cases.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package tdigest updated to version 0.4.2 with previous version 0.4.1 dated 2022-10-04

Title: Wicked Fast, Accurate Quantiles Using t-Digests
Description: The t-Digest construction algorithm, by Dunning et al., (2019) <doi:10.48550/arXiv.1902.04023>, uses a variant of 1-dimensional k-means clustering to produce a very compact data structure that allows accurate estimation of quantiles. This t-Digest data structure can be used to estimate quantiles, compute other rank statistics or even to estimate related measures like trimmed means. The advantage of the t-Digest over previous digests for this purpose is that the t-Digest handles data with full floating point resolution. The accuracy of quantile estimates produced by t-Digests can be orders of magnitude more accurate than those produced by previous digest algorithms. Methods are provided to create and update t-Digests and retrieve quantiles from the accumulated distributions.
Author: Bob Rudis [aut, cre] , Ted Dunning [aut] , Andrew Werner [aut]
Maintainer: Bob Rudis <bob@rud.is>

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Package smacofx updated to version 1.5-3 with previous version 0.6-6 dated 2023-08-17

Title: Flexible Multidimensional Scaling and 'smacof' Extensions
Description: Flexible multidimensional scaling (MDS) methods and extensions to the package 'smacof'. This package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different flexible MDS models (some as of yet unpublished). These are: Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459) with powers, Sammon mapping (Sammon, 1969, <doi:10.1109/T-C.1969.222678>) with ratio and interval optimal scaling, Multiscale MDS (Ramsay, 1977, <doi:10.1007/BF02294052>) with ratio and interval optimal scaling, S-stress MDS (ALSCAL; Takane, Young & De Leeuw, 1977, <doi:10.1007/BF02293745>) with ratio and interval optimal scaling, elastic scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x>) with ratio and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair, 2016, <https://rpubs.com/deleeuw/142619>) with ratio, interval and non-metric optimal scaling, power-stress MDS (POST-MDS; Buja & [...truncated...]
Author: Thomas Rusch [aut, cre] , Jan de Leeuw [aut], Lisha Chen [aut], Patrick Mair [aut]
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>

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Package CausalGPS updated to version 0.5.0 with previous version 0.4.2 dated 2024-04-13

Title: Matching on Generalized Propensity Scores with Continuous Exposures
Description: Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Author: Naeem Khoshnevis [aut, cre] , Xiao Wu [aut] , Danielle Braun [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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Package winfapReader updated to version 0.1-5.1 with previous version 0.1-5 dated 2022-09-08

Title: Interact with Peak Flow Data in the United Kingdom
Description: Obtain information on peak flow data from the National River Flow Archive (NRFA) in the United Kingdom, either from the Peak Flow Dataset files <https://nrfa.ceh.ac.uk/peak-flow-dataset> once these have been downloaded to the user's computer or using the NRFA's API. These files are in a format suitable for direct use in the 'WINFAP' software, hence the name of the package.
Author: Ilaria Prosdocimi [aut, cre] , Luke Shaw [aut]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

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Permanent link

Package rnrfa updated to version 2.1.0.6 with previous version 2.1.0.5 dated 2024-02-14

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions: <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information. The package is fully described in Vitolo et al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive" <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.
Author: Ilaria Prosdocimi [ctb, cre] , Claudia Vitolo [aut] , Matthew Fry [ctb] , Wouter Buytaert [ctb] , Michael Spencer [ctb] , Tobias Gauster [ctb]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

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Package r2dii.match updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-25

Title: Tools to Match Corporate Lending Portfolios with Climate Data
Description: These tools implement in R a fundamental part of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial portfolios and climate scenarios (<https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to study how their capital allocation decisions align with climate change mitigation goals. This package matches data from corporate lending portfolios to asset level data from market-intelligence databases (e.g. power plant capacities, emission factors, etc.). This is the first step to assess if a financial portfolio aligns with climate goals.
Author: Alex Axthelm [aut, cre] , Jackson Hoffart [aut, ctr] , Mauro Lepore [aut, ctr] , Klaus Hagedorn [aut], Florence Palandri [aut], Evgeny Petrovsky [aut], Jacob Kastl [ctr] , Rocky Mountain Institute [cph, fnd]
Maintainer: Alex Axthelm <aaxthelm@rmi.org>

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

Title: Argentina's Permanent Household Survey Data and Manipulation Utilities
Description: Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.
Author: Carolina Pradier [aut, cre] , Diego Kozlowski [aut] , Pablo Tiscornia [aut], Guido Weksler [aut], Natsumi Shokida [aut], German Rosati [aut] , Juan Gabriel Juara [ctb]
Maintainer: Carolina Pradier <carolinapradier@gmail.com>

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Package alien updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-11

Title: Estimate Invasive and Alien Species (IAS) Introduction Rates
Description: Easily estimate the introduction rates of alien species given first records data. It specializes in addressing the role of sampling on the pattern of discoveries, thus providing better estimates than using Generalized Linear Models which assume perfect immediate detection of newly introduced species.
Author: Yehezkel Buba [aut, cre, cph]
Maintainer: Yehezkel Buba <hezibuba@mail.tau.ac.il>

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Package smooth updated to version 4.0.2 with previous version 4.0.1 dated 2024-04-01

Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting. The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>), Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>), SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>), Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>), Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>) and several simulation functions. It also allows dealing with intermittent demand based on the iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package Robyn updated to version 3.11.0 with previous version 3.10.3 dated 2023-05-17

Title: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science
Description: Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocation and diminishing returns curves and allows ground-truth calibration to account for causation.
Author: Gufeng Zhou [aut], Bernardo Lares [cre, aut], Leonel Sentana [aut], Igor Skokan [aut], Meta Platforms, Inc. [cph, fnd]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package pastclim updated to version 2.1.0 with previous version 2.0.0 dated 2023-11-02

Title: Manipulate Time Series of Palaeoclimate Reconstructions
Description: Methods to easily extract and manipulate palaeoclimate reconstructions for ecological and anthropological analyses, as described in Leonardi et al. (2023) <doi:10.1111/ecog.06481>.
Author: Michela Leonardi [aut], Emily Y. Hallet [ctb], Robert Beyer [ctb], Mario Krapp [ctb], Andrea V. Pozzi [ctb], Andrea Manica [aut, cre]
Maintainer: Andrea Manica <am315@cam.ac.uk>

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Package nloptr updated to version 2.1.0 with previous version 2.0.3 dated 2022-05-26

Title: R Interface to NLopt
Description: Solve optimization problems using an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See <https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/> for more information on the available algorithms. Building from included sources requires 'CMake'. On Linux and 'macOS', if a suitable system build of NLopt (2.7.0 or later) is found, it is used; otherwise, it is built from included sources via 'CMake'. On Windows, NLopt is obtained through 'rwinlib' for 'R <= 4.1.x' or grabbed from the appropriate toolchain for 'R >= 4.2.0'.
Author: Jelmer Ypma [aut], Steven G. Johnson [aut] , Aymeric Stamm [ctb, cre] , Hans W. Borchers [ctb], Dirk Eddelbuettel [ctb], Brian Ripley [ctb] , Kurt Hornik [ctb] , Julien Chiquet [ctb], Avraham Adler [ctb] , Xiongtao Dai [ctb], Jeroen Ooms [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

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Package modeldata updated to version 1.4.0 with previous version 1.3.0 dated 2024-01-21

Title: Data Sets Useful for Modeling Examples
Description: Data sets used for demonstrating or testing model-related packages are contained in this package.
Author: Max Kuhn [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package greybox updated to version 2.0.1 with previous version 2.0.0 dated 2023-09-16

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] , Yves R. Sagaert [ctb]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package formatters updated to version 0.5.8 with previous version 0.5.6 dated 2024-04-15

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], Joe Zhu [ctb, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package dbnR updated to version 0.7.9 with previous version 0.7.8 dated 2022-10-04

Title: Dynamic Bayesian Network Learning and Inference
Description: Learning and inference over dynamic Bayesian networks of arbitrary Markovian order. Extends some of the functionality offered by the 'bnlearn' package to learn the networks from data and perform exact inference. It offers three structure learning algorithms for dynamic Bayesian networks: Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014) <doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021) <doi:10.1007/978-3-030-86271-8_14>. It also offers the possibility to perform forecasts of arbitrary length. A tool for visualizing the structure of the net is also provided via the 'visNetwork' package.
Author: David Quesada [aut, cre], Gabriel Valverde [ctb]
Maintainer: David Quesada <dkesada@gmail.com>

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Package success updated to version 1.1.0 with previous version 1.0.1 dated 2023-10-09

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 <dgstatsoft@gmail.com>

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Package RSAtools updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-18

Title: Advanced Response Surface Analysis
Description: Provides tools for response surface analysis, using a comparative framework that identifies best-fitting solutions across 37 families of polynomials. Many of these tools are based upon and extend the 'RSA' package, by testing a larger scope of polynomials (+27 families), more diverse response surface probing techniques (+acceleration points), more plots (+line of congruence, +line of incongruence, both with extrema), and other useful functions for exporting results.
Author: Fernando Nunez-Regueiro [aut, cre] , Jacques Juhel [aut] , Felix Schoenbrodt [ctb] , Sarah Humberg [ctb]
Maintainer: Fernando Nunez-Regueiro <fernando.nr.france@gmail.com>

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Package reticulate updated to version 1.38.0 with previous version 1.37.0 dated 2024-05-21

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package psychmeta updated to version 2.7.0 with previous version 2.6.5 dated 2022-08-26

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Wesley Gardiner [ctb] , Michael T. Brannick [ctb] , Jack Kostal [ctb] , Sean Potter [ctb] , John Sakaluk [ctb] , Yuejia Teng [ctb]
Maintainer: Jeffrey A. Dahlke <jeff.dahlke.phd@gmail.com>

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New package poset with initial version 1.0.0
Package: poset
Title: Analysis of Partially Ordered Data
Version: 1.0.0
Description: Win ratio approach to partially ordered data, such as multivariate ordinal responses under product (consensus) or prioritized order. Two-sample tests and multiplicative regression models are implemented (Mao, 2024, under revision).
License: CC BY 4.0
URL: https://sites.google.com/view/lmaowisc/, https://lmaowisc.github.io/poset/
Depends: R (>= 3.10)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-18 14:23:52 UTC; lmao
Author: Lu Mao [aut, cre]
Maintainer: Lu Mao <lmao@biostat.wisc.edu>
Repository: CRAN
Date/Publication: 2024-06-19 14:50:02 UTC

More information about poset at CRAN
Permanent link

Package enmpa updated to version 0.1.8 with previous version 0.1.5 dated 2023-12-01

Title: Ecological Niche Modeling using Presence-Absence Data
Description: A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Author: Luis F. Arias-Giraldo [aut, cre] , Marlon E. Cobos [aut] , A. Townsend Peterson [ctb]
Maintainer: Luis F. Arias-Giraldo <lfarias.giraldo@gmail.com>

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Package asremlPlus updated to version 4.4.35 with previous version 4.4.32 dated 2024-04-11

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package admiralonco updated to version 1.1.0 with previous version 1.0.0 dated 2023-12-20

Title: Oncology Extension Package for ADaM in 'R' Asset Library
Description: Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package.
Author: Stefan Bundfuss [aut, cre], Ross Farrugia [aut], Amit Jain [aut], Andrew Smith [aut], Teckla Akinyi [aut], Samia Kabi [aut], Stephen Gormley [aut], Hinal Patel [aut], Vinh Nguyen [aut], Olga Starostecka [aut], Uwe Bader [ctb], Karl Kennedy [ctb], Edo [...truncated...]
Maintainer: Stefan Bundfuss <stefan.bundfuss@roche.com>

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Package nanotime updated to version 0.3.8 with previous version 0.3.7 dated 2022-10-24

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel and Leonardo Silvestri
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between nanotime versions 0.3.7 dated 2022-10-24 and 0.3.8 dated 2024-06-19

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Package multiplex updated to version 3.3 with previous version 3.1.1 dated 2023-11-16

Title: Algebraic Tools for the Analysis of Multiple Social Networks
Description: Algebraic procedures for analyses of multiple social networks are delivered with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>. 'multiplex' makes possible, among other things, to create and manipulate multiplex, multimode, and multilevel network data with different formats. Effective ways are available to treat multiple networks with routines that combine algebraic systems like the partially ordered semigroup with decomposition procedures or semiring structures with the relational bundles occurring in different types of multivariate networks. 'multiplex' provides also an algebraic approach for affiliation networks through Galois derivations between families of the pairs of subsets in the two domains of the network with visualization options.
Author: Antonio Rivero Ostoic [aut, cre]
Maintainer: Antonio Rivero Ostoic <multiplex@post.com>

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More information about multiplex at CRAN
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Package speakeasyR (with last version 0.1.0) was removed from CRAN

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

2024-06-18 0.1.0

Permanent link
Package twowaytests updated to version 1.4 with previous version 1.3 dated 2023-03-31

Title: Two-Way Tests in Independent Groups Designs
Description: Performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test (Ananda et al., 2022) <doi:10.1080/03610926.2022.2059682>, two-way ANOVA for medians, trimmed means, M-estimators (Wilcox, 2011; ISBN:978-0-12-386983-8). The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout.
Author: Osman Dag [aut, cre], Sam Weerahandi [aut], Malwane Ananda [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Package scam updated to version 1.2-17 with previous version 1.2-16 dated 2024-02-23

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-16 dated 2024-02-23 and 1.2-17 dated 2024-06-19

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Package PKNCA updated to version 0.11.0 with previous version 0.10.2 dated 2023-04-29

Title: Perform Pharmacokinetic Non-Compartmental Analysis
Description: Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.
Author: Bill Denney [aut, cre] , Clare Buckeridge [aut], Sridhar Duvvuri [ctb]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Package glmmrBase updated to version 0.9.2 with previous version 0.8.1 dated 2024-04-08

Title: Generalised Linear Mixed Models in R
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Includes Markov Chain Monte Carlo Maximum likelihood and Laplace approximation model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions that can be combined arbitrarily, robust and bias-corrected standard error estimation, power calculation, data simulation, and more. See <https://samuel-watson.github.io/glmmr-web/> for a detailed manual.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package ggtibble updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-07

Title: Create Tibbles and Lists of 'ggplot' Figures for Reporting
Description: Create tibbles and lists of 'ggplot' figures that can be modified as easily as regular 'ggplot' figures. Typical use cases are for creating reports or web pages where many figures are needed with different data and similar formatting.
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Package doublIn updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-25

Title: Estimate Incubation or Latency Time using Doubly Interval Censored Observations
Description: Visualize contact tracing data using a 'shiny' app and estimate the incubation or latency time of an infectious disease respecting the following characteristics in the analysis; (i) doubly interval censoring with (partly) overlapping or distinct windows; (ii) an infection risk corresponding to exponential growth; (iii) right truncation allowing for individual truncation times; (iv) different choices concerning the family of the distribution. For our earlier work, we refer to Arntzen et al. (2023) <doi:10.1002/sim.9726>. A paper describing our approach in detail will follow.
Author: Vera Arntzen [aut, cre]
Maintainer: Vera Arntzen <v.h.arntzen@math.leidenuniv.nl>

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Package CalibrationCurves updated to version 2.0.2 with previous version 2.0.1 dated 2024-03-01

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: De Cock Bavo [aut, cre], Nieboer Daan [aut], Van Calster Ben [aut], Steyerberg Ewout [aut], Vergouwe Yvonne [aut]
Maintainer: De Cock Bavo <bavo.decock@kuleuven.be>

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Package zCompositions updated to version 1.5.0-4 with previous version 1.5.0-3 dated 2024-03-13

Title: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets
Description: Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).
Author: Javier Palarea-Albaladejo [cre, aut] , Josep Antoni Martin-Fernandez [aut]
Maintainer: Javier Palarea-Albaladejo <javier.palarea@udg.edu>

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Package sense updated to version 1.1.0 with previous version 1.0.0 dated 2021-09-06

Title: Automatic Stacked Ensemble for Regression Tasks
Description: Stacked ensemble for regression tasks based on 'mlr3' framework with a pipeline for preprocessing numeric and factor features and hyper-parameter tuning using grid or random search.
Author: Giancarlo Vercellino
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package seededlda updated to version 1.3.0 with previous version 1.2.1 dated 2024-04-11

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package rgrass updated to version 0.4-3 with previous version 0.4-2 dated 2024-03-17

Title: Interface Between 'GRASS' Geographical Information System and 'R'
Description: An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.
Author: Roger Bivand [cre, aut] , Rainer Krug [ctb] , Robin Lovelace [ctb] , Markus Neteler [ctb] , Sebastian Jeworutzki [ctb] , Floris Vanderhaeghe [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package BFpack updated to version 1.3.0 with previous version 1.2.3 dated 2023-10-20

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. The statistical underpinnings are described in Mulder and Xin (2019) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <DOI:10.1080/02664763.2021.1992360>, Mulder (2016) <DOI:10.1016/j.jmp.2014.09.004>, Mulder and [...truncated...]
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Donald R. Williams [aut, ctb], Xin Gu [aut, ctb], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Robbie van Aert [ctb], Barry [...truncated...]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package multe updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-14

Title: Multiple Treatment Effects Regression
Description: Implements contamination bias diagnostics and alternative estimators for regressions with multiple treatments. The implementation is based on Goldsmith-Pinkham, Hull, and Kolesár (2024) <doi:10.48550/arXiv.2106.05024>.
Author: Michal Kolesar [aut, cre] , Paul Goldsmith-Pinkham [ctb], Peter Hull [ctb]
Maintainer: Michal Kolesar <kolesarmi@googlemail.com>

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Package flap updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-28

Title: Forecast Linear Augmented Projection
Description: The Forecast Linear Augmented Projection (flap) method reduces forecast variance by adjusting the forecasts of multivariate time series to be consistent with the forecasts of linear combinations (components) of the series by projecting all forecasts onto the space where the linear constraints are satisfied. The forecast variance can be reduced monotonically by including more components. For a given number of components, the flap method achieves maximum forecast variance reduction among linear projections.
Author: Yangzhuoran Fin Yang [aut, cre]
Maintainer: Yangzhuoran Fin Yang <yangyangzhuoran@gmail.com>

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Package DataMetProcess updated to version 1.0.2 with previous version 1.0.1 dated 2024-01-18

Title: Meteorological Data Processing
Description: Set of tools aimed at processing meteorological data, converting hourly recorded data to daily, monthly and annual data.
Author: Wagner Martins dos Santos [aut, cre] , Edimir Xavier Leal Ferraz [aut] , Lady Daiane Costa de Sousa Martins [aut]
Maintainer: Wagner Martins dos Santos <wagnnerms97@gmail.com>

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Package bsvars updated to version 3.0 with previous version 2.1.0 dated 2023-12-11

Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation complement all this. The implemented techniques align closely with thos [...truncated...]
Author: Tomasz Wozniak [aut, cre]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

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New package ActiSleep with initial version 0.2.2
Package: ActiSleep
Title: Sleep Duration Estimate Algorithm
Version: 0.2.2
Date: 2024-06-17
Description: Provides sleep duration estimates using a Pruned Dynamic Programming (PDP) algorithm that efficiently identifies change-points. PDP applied to physical activity data can identify transitions from wakefulness to sleep and vice versa. Baek, Jonggyu, Banker, Margaret, Jansen, Erica C., She, Xichen, Peterson, Karen E., Pitchford, E. Andrew, Song, Peter X. K. (2021) An Efficient Segmentation Algorithm to Estimate Sleep Duration from Actigraphy Data <doi:10.1007/s12561-021-09309-3>.
License: GPL-3
Imports: dplyr, stringr, lubridate, accelerometry, DBI, RSQLite, lazyeval, methods, utils, tibble
Depends: R (>= 3.5)
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-06-18 13:04:17 UTC; nszeto
Author: Jonggyu Baek [aut], Margaret Banker [aut], Nathan Szeto [aut, cre], Alice Cleynen [aut], Guillem Rigaill [aut], Michel Koskas [aut]
Maintainer: Nathan Szeto <nszeto@umich.edu>
Repository: CRAN
Date/Publication: 2024-06-19 09:10:14 UTC

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Package omopgenerics updated to version 0.2.2 with previous version 0.2.1 dated 2024-05-16

Title: Methods and Classes for the OMOP Common Data Model
Description: Provides definitions of core classes and methods used by analytic pipelines that query the OMOP (Observational Medical Outcomes Partnership) common data model.
Author: Marti Catala [aut, cre] , Edward Burn [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Marta Alcalde-Herraiz [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package netmediate updated to version 1.0.1 with previous version 0.1.4 dated 2024-02-21

Title: Micro-Macro Analysis for Social Networks
Description: Estimates micro effects on macro structures (MEMS) and average micro mediated effects (AMME). URL: <https://github.com/sduxbury/netmediate>. BugReports: <https://github.com/sduxbury/netmediate/issues>. Robins, Garry, Phillipa Pattison, and Jodie Woolcock (2005) <doi:10.1086/427322>. Snijders, Tom A. B., and Christian E. G. Steglich (2015) <doi:10.1177/0049124113494573>. Imai, Kosuke, Luke Keele, and Dustin Tingley (2010) <doi:10.1037/a0020761>. Duxbury, Scott (2023) <doi:10.1177/00811750231209040>. Duxbury, Scott (2024) <doi:10.1177/00811750231220950>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

Diff between netmediate versions 0.1.4 dated 2024-02-21 and 1.0.1 dated 2024-06-19

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Package mulea updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-25

Title: Enrichment Analysis using Multiple Ontologies and FDR Correction
Description: Traditional gene set enrichment analyses are typically limited to a few ontologies and do not account for the interdependence of gene sets or terms, resulting in overcorrected p-values. To address these challenges, we introduce 'mulea', an R package offering comprehensive overrepresentation and functional enrichment analysis. 'mulea' employs an innovative empirical false discovery rate (eFDR) correction method, specifically designed for interconnected biological data, to accurately identify significant terms within diverse ontologies. Beyond conventional tools, 'mulea' incorporates a wide range of ontologies encompassing Gene Ontology, pathways, regulatory elements, genomic locations, and protein domains. This flexibility empowers researchers to tailor enrichment analysis to their specific questions, such as identifying enriched transcriptional regulators in gene expression data or overrepresented protein domains in protein sets. To facilitate seamless analysis, 'mulea' provides gene s [...truncated...]
Author: Cezary Turek [aut] , Marton Olbei [aut] , Tamas Stirling [aut, cre] , Gergely Fekete [aut] , Ervin Tasnadi [aut] , Leila Gul [aut], Balazs Bohar [aut] , Balazs Papp [aut] , Wiktor Jurkowski [aut] , Eszter Ari [aut, cph]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

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Package admiralophtha updated to version 1.1.0 with previous version 1.0.0 dated 2023-12-18

Title: ADaM in R Asset Library - Ophthalmology
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Author: Edoardo Mancini [aut, cre], Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Josie Jackson [aut], Sonali Jain [aut], Yuki Matsunaga [aut], Gordon Miller [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut], Aldrich Salva [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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Package lrstat updated to version 0.2.8 with previous version 0.2.7 dated 2024-06-13

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package lme4 updated to version 1.1-35.4 with previous version 1.1-35.3 dated 2024-04-16

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut, cre] , Steven Walker [aut] , Rune Haubo Bojesen Christensen [ctb] , Henrik Singmann [ctb] , Bin Dai [ctb], Fabian Scheipl [ctb] , Gabor Grothendieck [ctb], Peter Green [ctb] , John Fox [c [...truncated...]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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Package Apoderoides updated to version 2.0.1 with previous version 2.0.0 dated 2024-06-14

Title: Prioritize and Delete Erroneous Taxa in a Large Phylogenetic Tree
Description: Finds, prioritizes and deletes erroneous taxa in a phylogenetic tree. This package calculates scores for taxa in a tree. Higher score means the taxon is more erroneous. If the score is zero for a taxon, the taxon is not erroneous. This package also can remove all erroneous taxa automatically by iterating score calculation and pruning taxa with the highest score.
Author: Satoshi Aoki [aut, cph, cre]
Maintainer: Satoshi Aoki <aokis1ll1@gmail.com>

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New package alcyon with initial version 0.3.0
Package: alcyon
Title: Spatial Network Analysis
Version: 0.3.0
Description: Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
License: GPL-3
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, methods
Depends: sf, stars, igraph
Suggests: knitr, rmarkdown, testthat
SystemRequirements: C++17
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: yes
Packaged: 2024-06-16 21:41:36 UTC; petros
Author: Petros Koutsolampros [cre, aut, cph] , Fani Kostourou [aut, ctb, cph] , Kimon Krenz [ctb, cph] , Alasdair Turner [ctb, cph] , Tasos Varoudis [ctb, cph] , Christian Sailer [ctb, cph] , Eva Friedrich [ctb, cph] , University College London [fnd], Spacel [...truncated...]
Maintainer: Petros Koutsolampros <r-devel@pklampros.net>
Repository: CRAN
Date/Publication: 2024-06-19 07:30:17 UTC

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