Thu, 08 Feb 2024

Package echelon updated to version 0.2.0 with previous version 0.1.0 dated 2020-01-09

Title: The Echelon Analysis and the Detection of Spatial Clusters using Echelon Scan Method
Description: Functions for the echelon analysis proposed by Myers et al. (1997) <doi:10.1023/A:1018518327329>, and the detection of spatial clusters using echelon scan method proposed by Kurihara (2003) <doi:10.20551/jscswabun.15.2_171>.
Author: Fumio Ishioka
Maintainer: Fumio Ishioka <fishioka@okayama-u.ac.jp>

Diff between echelon versions 0.1.0 dated 2020-01-09 and 0.2.0 dated 2024-02-08

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New package teal with initial version 0.15.0
Package: teal
Title: Exploratory Web Apps for Analyzing Clinical Trials Data
Version: 0.15.0
Date: 2024-02-07
Description: A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.
License: Apache License 2.0
URL: https://insightsengineering.github.io/teal/, https://github.com/insightsengineering/teal/
BugReports: https://github.com/insightsengineering/teal/issues
Depends: R (>= 4.0), shiny (>= 1.7.0), teal.data (>= 0.4.0), teal.slice (>= 0.5.0)
Imports: checkmate (>= 2.1.0), jsonlite, lifecycle (>= 0.2.0), logger (>= 0.2.0), magrittr (>= 1.5), methods, rlang (>= 1.0.0), shinyjs, stats, teal.code (>= 0.5.0), teal.logger (>= 0.1.1), teal.reporter (>= 0.2.0), teal.widgets (>= 0.4.0), utils
Suggests: bslib, knitr (>= 1.42), MultiAssayExperiment, R6, rmarkdown (>= 2.19), shinyvalidate, testthat (>= 3.1.5), withr (>= 2.1.0), yaml (>= 1.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-02-07 18:04:54 UTC; unardid
Author: Dawid Kaledkowski [aut, cre] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Kartikeya Kirar [aut], Vedha Viyash [aut], Marcin Kosinski [aut], Adrian Waddell [aut], Chendi Liao [rev], Dony Unardi [rev], Nikolas Burkoff [aut [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>
Repository: CRAN
Date/Publication: 2024-02-09 00:30:02 UTC

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Package stats19 updated to version 3.0.3 with previous version 3.0.2 dated 2023-11-04

Title: Work with Open Road Traffic Casualty Data from Great Britain
Description: Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The datasets are provided as 'CSV' files with detailed road safety information about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979 to present. Tables are available on 'colissions' with the circumstances (e.g. speed limit of road), information about 'vehicles' involved (e.g. type of vehicle), and 'casualties' (e.g. age). The statistics relate only to events on public roads that were reported to the police, and subsequently recorded, using the 'STATS19' collision reporting form. See the Department for Transport website <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these datasets. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi [...truncated...]
Author: Robin Lovelace [aut, cre] , Malcolm Morgan [aut] , Layik Hama [aut] , Mark Padgham [aut] , David Ranzolin [rev], Adam Sparks [rev, ctb] , Ivo Wengraf [ctb], RAC Foundation [fnd]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package singR updated to version 0.1.2 with previous version 0.1.1 dated 2022-09-12

Title: Simultaneous Non-Gaussian Component Analysis
Description: Implementation of SING algorithm to extract joint and individual non-Gaussian components from two datasets. SING uses an objective function that maximizes the skewness and kurtosis of latent components with a penalty to enhance the similarity between subject scores. Unlike other existing methods, SING does not use PCA for dimension reduction, but rather uses non-Gaussianity, which can improve feature extraction. Benjamin B.Risk, Irina Gaynanova (2021) <doi:10.1214/21-AOAS1466>.
Author: Liangkang Wang [aut, cre] , Irina Gaynanova [aut] , Benjamin Risk [aut]
Maintainer: Liangkang Wang <liangkang_wang@brown.edu>

Diff between singR versions 0.1.1 dated 2022-09-12 and 0.1.2 dated 2024-02-08

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Package RobustGaSP updated to version 0.6.6 with previous version 0.6.5 dated 2022-06-01

Title: Robust Gaussian Stochastic Process Emulation
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel partial Gaussian stochastic process emulator for computer model with massive outputs See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics; Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

Diff between RobustGaSP versions 0.6.5 dated 2022-06-01 and 0.6.6 dated 2024-02-08

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New package RobExtremes with initial version 1.3.0
Package: RobExtremes
Version: 1.3.0
Date: 2024-02-07
Title: Optimally Robust Estimation for Extreme Value Distributions
Description: Optimally robust estimation for extreme value distributions using S4 classes and methods (based on packages 'distr', 'distrEx', 'distrMod', 'RobAStBase', and 'ROptEst'); the underlying theoretic results can be found in Ruckdeschel and Horbenko, (2013 and 2012), \doi{10.1080/02331888.2011.628022} and \doi{10.1007/s00184-011-0366-4}.
Depends: R(>= 3.4), methods, distrMod(>= 2.8.0), ROptEst(>= 1.2.0), robustbase, evd
Suggests: RUnit(>= 0.4.26), ismev(>= 1.39)
Enhances: fitdistrplus(>= 1.0-9)
Imports: RobAStRDA, distr, distrEx(>= 2.8.0), RandVar, RobAStBase(>= 1.2.0), startupmsg, actuar
ByteCompile: yes
LazyLoad: yes
License: LGPL-3
Encoding: UTF-8
URL: https://r-forge.r-project.org/projects/robast/
LastChangedDate: {$LastChangedDate: 2024-02-07 03:37:36 +0100 (Mi, 07 Feb 2024) $}
LastChangedRevision: {$LastChangedRevision: 1295 $}
VCS/SVNRevision: 1290
NeedsCompilation: yes
Packaged: 2024-02-07 13:22:26 UTC; ruckdesc
Author: Nataliya Horbenko [aut, cph], Bernhard Spangl [ctb] , Sascha Desmettre [ctb] , Eugen Massini [ctb] , Daria Pupashenko [ctb] , Gerald Kroisandt [ctb] , Matthias Kohl [aut, cph] , Peter Ruckdeschel [cre, aut, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2024-02-09 00:30:27 UTC

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New package RFCCA with initial version 2.0.0
Package: RFCCA
Title: Random Forest with Canonical Correlation Analysis
Version: 2.0.0
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2021) <doi:10.1093/bioinformatics/btab158>. 'RFCCA' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule. The 'randomForestSRC' package implements 'OpenMP' by default, contingent upon the support provided by the target architecture and operating system. In this package, 'LAPACK' and 'BLAS' libraries are used for matrix decompositions.
Depends: R (>= 3.5.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: CCA, PMA
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/calakus/RFCCA
BugReports: https://github.com/calakus/RFCCA/issues
NeedsCompilation: yes
Packaged: 2024-02-06 18:11:26 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2024-02-09 00:10:02 UTC

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Package qfratio updated to version 1.1.1 with previous version 1.1.0 dated 2023-10-02

Title: Moments and Distributions of Ratios of Quadratic Forms Using Recursion
Description: Evaluates moments of ratios (and products) of quadratic forms in normal variables, specifically using recursive algorithms developed by Bao and Kan (2013) <doi:10.1016/j.jmva.2013.03.002> and Hillier et al. (2014) <doi:10.1017/S0266466613000364>. Also provides distribution, quantile, and probability density functions of simple ratios of quadratic forms in normal variables with several algorithms. Originally developed as a supplement to Watanabe (2023) <doi:10.1007/s00285-023-01930-8> for evaluating average evolvability measures in evolutionary quantitative genetics, but can be used for a broader class of statistics. Generating functions for these moments are also closely related to the top-order zonal and invariant polynomials of matrix arguments.
Author: Junya Watanabe [aut, cre, cph] , Patrick Alken [cph] , Brian Gough [cph] , Pavel Holoborodko [cph] , Gerard Jungman [cph] , Reid Priedhorsky [cph] , Free Software Foundation, Inc. [cph]
Maintainer: Junya Watanabe <Junya.Watanabe@uab.cat>

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Package NMsim updated to version 0.0.10 with previous version 0.0.8 dated 2024-02-07

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface from within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating time spent and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Matthew Fidler [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Title: Multiple Counting Process Structure for Survival Analysis
Description: Counting process structure is fundamental to model time varying covariates. This package restructures dataframes in the counting process format for one or more variables. F. W. Dekker, et al. (2008) <doi:10.1038/ki.2008.328>.
Author: Elia Gonzato [aut, cre, cph]
Maintainer: Elia Gonzato <elia.gonzato@outlook.it>

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Package metR updated to version 0.15.0 with previous version 0.14.1 dated 2023-10-30

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

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Package IBMPopSim updated to version 1.0.0 with previous version 0.4.3 dated 2023-01-07

Title: Individual Based Model Population Simulation
Description: Simulation of the random evolution of heterogeneous populations using stochastic Individual-Based Models (IBMs) <doi:10.48550/arXiv.2303.06183>. The package enables users to simulate population evolution, in which individuals are characterized by their age and some characteristics, and the population is modified by different types of events, including births/arrivals, death/exit events, or changes of characteristics. The frequency at which an event can occur to an individual can depend on their age and characteristics, but also on the characteristics of other individuals (interactions). Such models have a wide range of applications. For instance, IBMs can be used for simulating the evolution of a heterogeneous insurance portfolio with selection or for validating mortality forecasts. This package overcomes the limitations of time-consuming IBMs simulations by implementing new efficient algorithms based on thinning methods, which are compiled using the 'Rcpp' package while provid [...truncated...]
Author: Daphne Giorgi [aut, cre], Sarah Kaakai [aut], Vincent Lemaire [aut]
Maintainer: Daphne Giorgi <daphne.giorgi@sorbonne-universite.fr>

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Package glmnetr updated to version 0.4-2 with previous version 0.4-1 dated 2024-01-08

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Recursive Partitioning ('RPART') or step wise regression models are fit. Nested cross validation (or analogous for the random forest) to estimate and compare performances between these models is used to describe model performances. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied with the 'path=TRUE' options when calling glmnet() and cv.glmnet(). Within the glmnetr package the approach of path=TRUE is taken by default. When fitting not a relaxed lasso model but an elastic-net model, then the R-packages 'nestedcv' <https://cran.r-project.org/package=ne [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package ggpointless updated to version 0.1.0 with previous version 0.0.3 dated 2022-08-25

Title: Additional Geometries and Stats for 'ggplot2'
Description: An (aspirational) collection of additional geometries and statistics for 'ggplot2'.
Author: Markus Doering [aut, cre, cph]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>

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New package ggseqlogo with initial version 0.2
Package: ggseqlogo
Title: A 'ggplot2' Extension for Drawing Publication-Ready Sequence Logos
Version: 0.2
Date: 2024-02-08
Author: Omar Wagih
Maintainer: Omar Wagih <omarwagih@gmail.com>
Description: The extensive range of functions provided by this package makes it possible to draw highly versatile sequence logos. Features include, but not limited to, modifying colour schemes and fonts used to draw the logo, generating multiple logo plots, and aiding the visualisation with annotations. Sequence logos can easily be combined with other plots 'ggplot2' plots.
License: LGPL
URL: https://github.com/omarwagih/ggseqlogo
BugReports: https://github.com/omarwagih/ggseqlogo/issues
Encoding: UTF-8
Imports: ggplot2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-08 17:47:13 UTC; omarwagih
Repository: CRAN
Date/Publication: 2024-02-09 00:20:08 UTC

More information about ggseqlogo at CRAN
Permanent link

Package autostsm updated to version 3.1.3 with previous version 3.1.2 dated 2023-09-25

Title: Automatic Structural Time Series Models
Description: Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components, plus optionality for structural interpolation, using the Kalman filter. Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard [aut, cre]
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

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Package nimbleHMC updated to version 0.2.1 with previous version 0.2.0 dated 2023-09-11

Title: Hamiltonian Monte Carlo and Other Gradient-Based MCMC Sampling Algorithms for 'nimble'
Description: Provides gradient-based MCMC sampling algorithms for use with the MCMC engine provided by the 'nimble' package. This includes two versions of Hamiltonian Monte Carlo (HMC) No-U-Turn (NUTS) sampling, and (under development) Langevin samplers. The `NUTS_classic` sampler implements the original HMC-NUTS algorithm as described in Hoffman and Gelman (2014) <arXiv:1111.4246>. The `NUTS` sampler is a modern version of HMC-NUTS sampling matching the HMC sampler available in version 2.32.2 of Stan (Stan Development Team, 2023). In addition, convenience functions are provided for generating and modifying MCMC configuration objects which employ HMC sampling.
Author: Daniel Turek [aut, cre], Perry de Valpine [aut], Christopher Paciorek [aut]
Maintainer: Daniel Turek <danielturek@gmail.com>

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Package IDPmisc updated to version 1.1.21 with previous version 1.1.20 dated 2020-01-21

Title: 'Utilities of Institute of Data Analyses and Process Design (www.zhaw.ch/idp)'
Description: Different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region. In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra, converting humidity measures.
Author: Christoph Hofer [cre], Rene Locher [aut], Andreas Ruckstuhl [ctb]
Maintainer: Christoph Hofer <christoph.hofer@zhaw.ch>

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Package ggnewscale updated to version 0.4.10 with previous version 0.4.9 dated 2023-05-25

Title: Multiple Fill and Colour Scales in 'ggplot2'
Description: Use multiple fill and colour scales in 'ggplot2'.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

Diff between ggnewscale versions 0.4.9 dated 2023-05-25 and 0.4.10 dated 2024-02-08

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Package DiscreteFDR updated to version 1.3.7 with previous version 1.3.6 dated 2021-09-03

Title: Multiple Testing Procedures with Adaptation for Discrete Tests
Description: Multiple testing procedures described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input a set of observed p-values and their discrete support under the null. A function to compute such p-values and supports for Fisher's exact tests is also provided, along with a wrapper allowing to apply discrete procedures directly from contingency tables.
Author: Sebastian Doehler [aut, ctb], Florian Junge [aut, ctb, cre], Guillermo Durand [aut, ctb], Etienne Roquain [ctb], Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package tensorEVD updated to version 0.1.1 with previous version 0.1.0 dated 2023-11-14

Title: A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
Description: Here we provide tools for the computation and factorization of high-dimensional tensor products that are formed by smaller matrices. The methods are based on properties of Kronecker products (Searle 1982, p. 265, ISBN-10: 0470009616). We evaluated this methodology by benchmark testing and illustrated its use in Gaussian Linear Models ('Lopez-Cruz et al., 2024') <doi:10.1093/g3journal/jkae001>.
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [aut]
Maintainer: Marco Lopez-Cruz <lopezcru@msu.edu>

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Package rnpn updated to version 1.2.8.0 with previous version 1.2.7.0 dated 2024-01-24

Title: Interface to the National 'Phenology' Network 'API'
Description: Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.
Author: Jeff Switzer [aut, cre], Scott Chamberlain [aut], Lee Marsh [aut], Kevin Wong [aut], David LeBauer [ctb], Eric R Scott [ctb]
Maintainer: Jeff Switzer <jeff@usanpn.org>

Diff between rnpn versions 1.2.7.0 dated 2024-01-24 and 1.2.8.0 dated 2024-02-08

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Package Haplin updated to version 7.3.1 with previous version 7.3.0 dated 2022-05-20

Title: Analyzing Case-Parent Triad and/or Case-Control Data with SNP Haplotypes
Description: Performs genetic association analyses of case-parent triad (trio) data with multiple markers. It can also incorporate complete or incomplete control triads, for instance independent control children. Estimation is based on haplotypes, for instance SNP haplotypes, even though phase is not known from the genetic data. 'Haplin' estimates relative risk (RR + conf.int.) and p-value associated with each haplotype. It uses maximum likelihood estimation to make optimal use of data from triads with missing genotypic data, for instance if some SNPs has not been typed for some individuals. 'Haplin' also allows estimation of effects of maternal haplotypes and parent-of-origin effects, particularly appropriate in perinatal epidemiology. 'Haplin' allows special models, like X-inactivation, to be fitted on the X-chromosome. A GxE analysis allows testing interactions between environment and all estimated genetic effects. The models were originally described in "Gjessing HK and Lie RT. Case-parent tria [...truncated...]
Author: Hakon K. Gjessing [aut, cre], Miriam Gjerdevik [ctb] , Julia Romanowska [ctb] , Oivind Skare [ctb]
Maintainer: Hakon K. Gjessing <hakon.gjessing@uib.no>

Diff between Haplin versions 7.3.0 dated 2022-05-20 and 7.3.1 dated 2024-02-08

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New package VLMCX with initial version 1.0
Package: VLMCX
Title: Variable Length Markov Chain with Exogenous Covariates
Version: 1.0
Date: 2024-02-01
Imports: graphics, nnet, berryFunctions, stats, utils
Description: Models categorical time series through a Markov Chain when a) covariates are predictors for transitioning into the next state/symbol and b) when the dependence in the past states has variable length. The probability of transitioning to the next state in the Markov Chain is defined by a multinomial regression whose parameters depend on the past states of the chain and, moreover, the number of states in the past needed to predict the next state also depends on the observed states themselves. See Zambom, Kim, and Garcia (2022) <doi:10.1111/jtsa.12615>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-02-07 07:14:39 UTC; adrianozambom
Author: Adriano Zanin Zambom Developer [aut, cre, cph], Seonjin Kim Developer [aut], Nancy Lopes Garcia Developer [aut]
Maintainer: Adriano Zanin Zambom Developer <adriano.zambom@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-08 21:10:07 UTC

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New package pricelevels with initial version 1.0.2
Package: pricelevels
Title: Spatial Price Level Comparisons
Version: 1.0.2
Description: Price comparisons within or between countries provide an overall measure of the relative difference in prices, often denoted as price levels. This package provides index number methods for such price comparisons (e.g., The World Bank, 2011, <doi:10.1596/978-0-8213-9728-2>). Moreover, it contains functions for sampling and characterizing price data.
License: EUPL
Depends: R (>= 4.0.1)
Imports: data.table (>= 1.14.0), minpack.lm (>= 1.2-1)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/sweinand/pricelevels
BugReports: https://github.com/sweinand/pricelevels/issues
NeedsCompilation: no
Packaged: 2024-02-07 09:02:19 UTC; Sebastian
Author: Sebastian Weinand [aut, cre]
Maintainer: Sebastian Weinand <s.weinand90@googlemail.com>
Repository: CRAN
Date/Publication: 2024-02-08 21:10:02 UTC

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New package OnomasticDiversity with initial version 0.1
Package: OnomasticDiversity
Title: Onomastic Diversity Measures
Version: 0.1
Date: 2024-02-07
Author: Maria Jose Ginzo Villamayor [aut, cre]
Maintainer: Maria Jose Ginzo Villamayor <mariajose.ginzo@usc.es>
Depends: R(>= 4.2.0)
Imports: sqldf
Description: Different measures which can be used to quantify similarities between regions. These measures are isonymy, isonymy between, Lasker distance, coefficients of Hedrick and Nei. In addition, it calculates biodiversity indices such as Margalef, Menhinick, Simpson, Shannon, Shannon-Wiener, Sheldon, Heip, Hill Numbers, Geometric Mean and Cressie and Read statistics.
License: GPL-2
LazyLoad: yes
Packaged: 2024-02-07 09:00:25 UTC; mjginzo
Repository: CRAN
Encoding: UTF-8
NeedsCompilation: no
Date/Publication: 2024-02-08 21:10:09 UTC

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New package dsmSearch with initial version 1.0.0
Package: dsmSearch
Title: DSM and LiDAR downloader
Version: 1.0.0
Description: A collection of functions to search and donwload DSM (Digital Surface Model) and LiDAR (Light Detection and Ranging) data via APIs, including 'OpenTopography' <https://portal.opentopography.org/apidocs/> and 'TNMAccess' <https://apps.nationalmap.gov/tnmaccess/#/>.
Depends: R (>= 4.1)
License: GPL-3
Encoding: UTF-8
Language: en_GB
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
Imports: dplyr, sf, sp, terra, lidR, httr2, imager
NeedsCompilation: no
Packaged: 2024-02-07 20:51:03 UTC; yangxiaohao
Author: Xiaohao Yang [aut, cre, cph], Nathan Fox [aut], Derek Van Berkel [aut], Mark Lindquist [aut]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Repository: CRAN
Date/Publication: 2024-02-08 21:50:02 UTC

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Package adaR updated to version 0.3.2 with previous version 0.3.1 dated 2023-11-16

Title: A Fast 'WHATWG' Compliant URL Parser
Description: A wrapper for 'ada-url', a 'WHATWG' compliant and fast URL parser written in modern 'C++'. Also contains auxiliary functions such as a public suffix extractor.
Author: David Schoch [aut, cre] , Chung-hong Chan [aut] , Yagiz Nizipli [ctb, cph] , Daniel Lemire [ctb, cph]
Maintainer: David Schoch <david@schochastics.net>

Diff between adaR versions 0.3.1 dated 2023-11-16 and 0.3.2 dated 2024-02-08

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New package NetworkReg with initial version 1.1
Package: NetworkReg
Title: Regression Model on Network-Linked Data with Statistical Inference
Version: 1.1
Date: 2024-02-02
Description: Linear regression model with nonparametric network effects on network-linked observations. The model is proposed by Le and Li (2022) <arXiv:2007.00803> and is assumed on observations that are connected by a network or similar relational data structure. The model does not assume that the relational data or network structure to be precisely observed; thus, the method is provably robust to a certain level of perturbation of the network structure. The package contains the estimation and inference function for the model.
License: GPL (>= 2)
Imports: Matrix, stats, randnet, RSpectra
NeedsCompilation: no
Packaged: 2024-02-07 05:17:21 UTC; tianxili
Author: Tianxi Li [aut, cre], Can M. Le [aut]
Maintainer: Tianxi Li <tianxili@umn.edu>
Repository: CRAN
Date/Publication: 2024-02-08 21:00:02 UTC

More information about NetworkReg at CRAN
Permanent link

Package GPvecchia updated to version 0.1.6 with previous version 0.1.4 dated 2022-10-24

Title: Scalable Gaussian-Process Approximations
Description: Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <arXiv:1609.05372>.
Author: Matthias Katzfuss [aut], Marcin Jurek [aut, cre], Daniel Zilber [aut], Wenlong Gong [aut], Joe Guinness [ctb], Jingjie Zhang [ctb], Florian Schaefer [ctb]
Maintainer: Marcin Jurek <marcinjurek1988@gmail.com>

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More information about GPvecchia at CRAN
Permanent link

Package powerindexR updated to version 1.5 with previous version 1.0.3 dated 2023-07-18

Title: Measuring the Power in Voting Systems
Description: This R package allows the determination of some distributions of the voters' power when passing laws in weighted voting situations.
Author: Livino M. Armijos-Toro [aut, cre], Jose M. Alonso-Meijide [aut], Manuel A. Mosquera [aut], Alejandro Saavedra-Nieves [aut]
Maintainer: Livino M. Armijos-Toro <livinoa@gmail.com>

Diff between powerindexR versions 1.0.3 dated 2023-07-18 and 1.5 dated 2024-02-08

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Package xfun updated to version 0.42 with previous version 0.41 dated 2023-11-01

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Yihui Xie <xie@yihui.name>

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Package PatientProfiles updated to version 0.6.0 with previous version 0.5.1 dated 2023-11-21

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [ctb] , Xintong Li [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package NMF updated to version 0.27 with previous version 0.26 dated 2023-03-20

Title: Algorithms and Framework for Nonnegative Matrix Factorization (NMF)
Description: Provides a framework to perform Non-negative Matrix Factorization (NMF). The package implements a set of already published algorithms and seeding methods, and provides a framework to test, develop and plug new/custom algorithms. Most of the built-in algorithms have been optimized in C++, and the main interface function provides an easy way of performing parallel computations on multicore machines.
Author: Renaud Gaujoux, Cathal Seoighe
Maintainer: Nicolas Sauwen <nicolas.sauwen@openanalytics.eu>

Diff between NMF versions 0.26 dated 2023-03-20 and 0.27 dated 2024-02-08

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Package multitool updated to version 0.1.4 with previous version 0.1.3 dated 2023-10-25

Title: Run Multiverse Style Analyses
Description: Run the same analysis over a range of arbitrary data processing decisions. 'multitool' provides an interface for creating alternative analysis pipelines and turning them into a grid of all possible pipelines. Using this grid as a blueprint, you can model your data across all possible pipelines and summarize the results.
Author: Ethan Young [aut, cre, cph] , Stefan Vermeent [aut]
Maintainer: Ethan Young <young.ethan.scott@gmail.com>

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Package huxtable updated to version 5.5.5 with previous version 5.5.3 dated 2023-12-09

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package rmerec updated to version 0.1.1 with previous version 0.1.0 dated 2023-12-01

Title: MEREC - Method Based on the Removal Effects of Criteria
Description: Implementation of the MEthod based on the Removal Effects of Criteria - MEREC- a new objective weighting method for determining criteria weights for Multiple Criteria Decision Making problems, created by Mehdi Keshavarz-Ghorabaee (2021) <doi:10.3390/sym13040525>. Given a decision matrix, the function return the Merec´s weight vector and all intermediate matrix/vectors used to calculate it.
Author: Lucas Sebastiao de Paula [aut, cre] , Bernardo Silva [ctb] , Marcos Santos [ctb]
Maintainer: Lucas Sebastiao de Paula <lucas@ime.eb.br>

Diff between rmerec versions 0.1.0 dated 2023-12-01 and 0.1.1 dated 2024-02-08

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Package lmw updated to version 0.0.2 with previous version 0.0.1 dated 2023-03-14

Title: Linear Model Weights
Description: Computes the implied weights of linear regression models for estimating average causal effects and provides diagnostics based on these weights. These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta (2023) <doi:10.1093/biomet/asac058> where several regression estimators are represented as weighting estimators, in connection to inverse probability weighting. 'lmw' provides tools to diagnose representativeness, balance, extrapolation, and influence for these models, clarifying the target population of inference. Tools are also available to simplify estimating treatment effects for specific target populations of interest.
Author: Ambarish Chattopadhyay [aut] , Noah Greifer [aut, cre] , Jose Zubizarreta [aut]
Maintainer: Noah Greifer <ngreifer@iq.harvard.edu>

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Package fungible updated to version 2.4.3 with previous version 2.4.2 dated 2024-01-23

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings mat [...truncated...]
Author: Niels Waller [aut, cre], Justin Kracht [ctb], Jeff Jones [ctb], Casey Giordano [ctb], Hoang V. Nguyen [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

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Package remaCor updated to version 0.0.18 with previous version 0.0.16 dated 2023-06-21

Title: Random Effects Meta-Analysis for Correlated Test Statistics
Description: Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.
Author: Gabriel Hoffman [aut, cre]
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>

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Package RcppArmadillo updated to version 0.12.8.0.0 with previous version 0.12.6.6.1 dated 2023-12-04

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package UniversalCVI updated to version 1.1.1 with previous version 1.1.0 dated 2023-11-08

Title: Hard and Soft Cluster Validity Indices
Description: Algorithms for checking the accuracy of a clustering result with known classes, computing cluster validity indices, and generating plots for comparing them. The package is compatible with K-means, fuzzy C means, EM clustering, and hierarchical clustering (single, average, and complete linkage). The details of the indices in this package can be found in: C. Alok. (2010) <https://hdl.handle.net/10603/93443>, J. C. Bezdek, M. Moshtaghi, T. Runkler, C. Leckie (2016) <doi:10.1109/TFUZZ.2016.2540063>, T. Calinski, J. Harabasz (1974) <doi:10.1080/03610927408827101>, C. H. Chou, M. C. Su, E. Lai (2004) <doi:10.1007/s10044-004-0218-1>, D. L. Davies, D. W. Bouldin (1979) <doi:10.1109/TPAMI.1979.4766909>, J. C. Dunn (1973) <doi:10.1080/01969727308546046>, F. Haouas, Z. Ben Dhiaf, A. Hammouda, B. Solaiman (2017) <doi:10.1109/FUZZ-IEEE.2017.8015651>, M. Kim, R. S. Ramakrishna (2005) <doi:10.1016/j.patrec.2005.04.007>, S. H. Kwon (1998) <doi:10.1049 [...truncated...]
Author: Nathakhun Wiroonsri [cre, aut] , Onthada Preedasawakul [aut]
Maintainer: Nathakhun Wiroonsri <nathakhun.wir@kmutt.ac.th>

Diff between UniversalCVI versions 1.1.0 dated 2023-11-08 and 1.1.1 dated 2024-02-08

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Package treesliceR updated to version 1.0.1 with previous version 1.0.0 dated 2023-12-18

Title: To Slice Phylogenetic Trees and Infer Evolutionary Patterns Over Time
Description: Provide a range of functions with multiple criteria for cutting phylogenetic trees at any evolutionary depth. It enables users to cut trees in any orientation, such as rootwardly (from root to tips) and tipwardly (from tips to its root), or allows users to define a specific time interval of interest. It can also be used to create multiple tree pieces of equal temporal width. Moreover, it allows the assessment of novel temporal rates for various phylogenetic indexes, which can be quickly displayed graphically.
Author: Matheus Lima Araujo [aut, cre, cph] , Luiz Gabriel Souza e Souza Ferreira [aut] , Gabriel Nakamura [aut] , Marco Tulio Pacheco Coelho [aut] , Thiago Fernando Rangel [aut]
Maintainer: Matheus Lima Araujo <matheusaraujolima@live.com>

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Package monographaR updated to version 1.3.1 with previous version 1.3.0 dated 2024-01-10

Title: Taxonomic Monographs Tools
Description: Contains functions intended to facilitate the production of plant taxonomic monographs. The package includes functions to convert tables into taxonomic descriptions, lists of collectors, examined specimens, identification keys (dichotomous and interactive), and can generate a monograph skeleton. Additionally, wrapper functions to batch the production of phenology histograms and distributional and diversity maps are also available.
Author: Marcelo Reginato
Maintainer: Marcelo Reginato <reginatobio@yahoo.com.br>

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Package spduration updated to version 0.17.2 with previous version 0.17.1 dated 2018-05-06

Title: Split-Population Duration (Cure) Regression
Description: An implementation of split-population duration regression models. Unlike regular duration models, split-population duration models are mixture models that accommodate the presence of a sub-population that is not at risk for failure, e.g. cancer patients who have been cured by treatment. This package implements Weibull and Loglogistic forms for the duration component, and focuses on data with time-varying covariates. These models were originally formulated in Boag (1949) and Berkson and Gage (1952), and extended in Schmidt and Witte (1989).
Author: Andreas Beger [aut, cre] , Daina Chiba [aut] , Daniel W. Hill, Jr. [aut], Nils W. Metternich [aut] , Shahryar Minhas [aut], Michael D. Ward [aut, cph]
Maintainer: Andreas Beger <adbeger@gmail.com>

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Package sarp.snowprofile.alignment updated to version 1.2.2 with previous version 1.2.1 dated 2022-08-07

Title: Snow Profile Alignment, Aggregation, and Clustering
Description: Snow profiles describe the vertical (1D) stratigraphy of layered snow with different layer characteristics, such as grain type, hardness, deposition date, and many more. Hence, they represent a data format similar to multivariate time series containing categorical, ordinal, and numerical data types. Use this package to align snow profiles by matching their individual layers based on Dynamic Time Warping (DTW). The aligned profiles can then be assessed with an independent, global similarity measure that is geared towards avalanche hazard assessment. Finally, through exploiting data aggregation and clustering methods, the similarity measure provides the foundation for grouping and summarizing snow profiles according to similar hazard conditions. In particular, this package allows for averaging large numbers of snow profiles with DTW Barycenter Averaging and thereby facilitates the computation of individual layer distributions and summary statistics that are relevant for avalanche forecas [...truncated...]
Author: Florian Herla [aut, cre], Pascal Haegeli [aut], Simon Horton [aut], Paul Billecocq [aut], SFU Avalanche Research Program [fnd]
Maintainer: Florian Herla <fherla@sfu.ca>

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Package TestAnaAPP updated to version 0.1.8 with previous version 0.1.5 dated 2024-01-09

Title: The 'shiny' App for Test Analysis and Visualization
Description: This application enables exploratory factor analysis, confirmatory factor analysis, classical measurement theory analysis, unidimensional item response theory, multidimensional item response theory, and continuous item response model analysis, through the 'shiny' interactive interface. It also facilitates the visualization of the results. Users can easily download the analysis results from the interactive interface. Additionally, users can download a concise report about items and test quality on the interactive interface.
Author: Youxiang Jiang [cre, aut] , Hongbo Wen [ctb, ths]
Maintainer: Youxiang Jiang <jiangyouxiang34@163.com>

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Package PearsonDS updated to version 1.3.1 with previous version 1.3.0 dated 2023-08-12

Title: Pearson Distribution System
Description: Implementation of the Pearson distribution system, including full support for the (d,p,q,r)-family of functions for probability distributions and fitting via method of moments and maximum likelihood method.
Author: Martin Becker [aut, cre] , Stefan Kloessner [aut] , Joel Heinrich [ctb]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

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Package fitbitViz updated to version 1.0.6 with previous version 1.0.5 dated 2023-01-06

Title: 'Fitbit' Visualizations
Description: Connection to the 'Fitbit' Web API <https://dev.fitbit.com/build/reference/web-api/> by including 'ggplot2' Visualizations, 'Leaflet' and 3-dimensional 'Rayshader' Maps. The 3-dimensional 'Rayshader' Map requires the installation of the 'CopernicusDEM' R package which includes the 30- and 90-meter elevation data.
Author: Lampros Mouselimis [aut, cre]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package CohortSurvival updated to version 0.3.0 with previous version 0.2.5 dated 2023-12-07

Title: Estimate Survival from Common Data Model Cohorts
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Author: Edward Burn [aut, cre] , Kim Lopez [aut] , Marti Catala [ctb] , Xintong Li [ctb] , Danielle Newby [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package SwissAir updated to version 1.1.6 with previous version 1.1.5 dated 2018-10-02

Title: Air Quality Data of Switzerland for One Year in 30 Min Resolution
Description: Ozone, NOx (= Sum of nitrogen monoxide and nitrogen dioxide), nitrogen monoxide, ambient temperature, dew point, wind speed and wind direction at 3 sites around lake of Lucerne in Central Switzerland in 30 min time resolution for year 2004.
Author: Christoph Hofer [cre], Rene Locher [aut]
Maintainer: Christoph Hofer <christoph.hofer@zhaw.ch>

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Package slendr updated to version 0.9.0 with previous version 0.8.1 dated 2024-01-15

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

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Package rsinaica updated to version 1.0.0 with previous version 0.6.1 dated 2019-02-04

Title: Download Data from Mexico's Air Quality Information System
Description: Easy-to-use functions for downloading air quality data from the Mexican National Air Quality Information System (SINAICA). Allows you to query pollution and meteorological parameters from more than a hundred monitoring stations located throughout Mexico. See <https://sinaica.inecc.gob.mx> for more information.
Author: Diego Valle-Jones [aut, cre]
Maintainer: Diego Valle-Jones <diego@diegovalle.net>

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Package RprobitB updated to version 1.1.3 with previous version 1.1.2 dated 2022-11-06

Title: Bayesian Probit Choice Modeling
Description: Bayes estimation of probit choice models, both in the cross-sectional and panel setting. The package can analyze binary, multivariate, ordered, and ranked choices, and places a special focus on modeling heterogeneity of choice behavior among deciders. The main functionality includes model fitting via Markov chain Monte Carlo methods, tools for convergence diagnostic, choice data simulation, in-sample and out-of-sample choice prediction, and model selection using information criteria and Bayes factors. The latent class model extension facilitates preference-based decider classification, where the number of latent classes can be inferred via the Dirichlet process or a weight-based updating scheme. This allows for flexible modeling of choice behavior without the need to impose structural constraints. For a reference on the method see Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
Author: Lennart Oelschlaeger [aut, cre] , Dietmar Bauer [aut] , Sebastian Buescher [ctb], Manuel Batram [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package Rcmdr updated to version 2.9-2 with previous version 2.9-1 dated 2023-09-28

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre], Milan Bouchet-Valat [aut], Manuel Munoz Marquez [aut], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package novelqualcodes updated to version 0.13.1 with previous version 0.13.0 dated 2023-09-11

Title: Visualise the Path to a Stopping Point in Qualitative Interviews Based on Novel Codes
Description: In semi-structured interviews that use the 'framework' method, it is not always clear how refinements to interview questions affect the decision of when to stop interviews. The trend of 'novel' and 'duplicate' interview codes (novel codes are information that other interviewees have not previously mentioned) provides insight into the richness of qualitative information. This package provides tools to visualise when refinements occur and how that affects the trends of novel and duplicate codes. These visualisations, when used progressively as new interviews are finished, can help the researcher to decide on a stopping point for their interviews.
Author: Kam Wong [aut, cph] , Desi Quintans [cre, aut, cph]
Maintainer: Desi Quintans <science@desiquintans.com>

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Package mrgsolve updated to version 1.4.0 with previous version 1.3.0 dated 2023-12-04

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] , Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] , Dilawar Singh [ctb], Felicien Le Louedec [ctb] , Timothy Waterhouse [ctb] , Kyle Meyer [ctb], Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

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Package FIESTA updated to version 3.6.2 with previous version 3.6.1 dated 2024-01-22

Title: Forest Inventory Estimation and Analysis
Description: A research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program.
Author: Tracey Frescino [aut], Gretchen Moisen [aut], Paul Patterson [aut], Chris Toney [aut], Grayson White [aut, cre] , Joshua Yamamoto [aut]
Maintainer: Grayson White <graysonwhite13@gmail.com>

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Package ecos updated to version 0.1.6 with previous version 0.1.5 dated 2023-08-07

Title: Economic Statistics System of the Bank of Korea
Description: API wrapper to download statistical information from the Economic Statistics System (ECOS) of the Bank of Korea <https://ecos.bok.or.kr/api/#/>.
Author: Seokhoon Joo [aut, cre], Jaehyun Joo [ctb]
Maintainer: Seokhoon Joo <seokhoonj@gmail.com>

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Package adjclust updated to version 0.6.9 with previous version 0.6.8 dated 2024-01-13

Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <doi:10.1186/s13015-019-0157-4>.
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre] , Guillem Rigaill [aut], Nathalie Vialaneix [aut] , Gabriel Hoffman [aut]
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>

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Package wbacon updated to version 0.6-1 with previous version 0.6 dated 2021-11-04

Title: Weighted BACON Algorithms
Description: The BACON algorithms are methods for multivariate outlier nomination (detection) and robust linear regression by Billor, Hadi, and Velleman (2000) <doi:10.1016/S0167-9473(99)00101-2>. The extension to weighted problems is due to Beguin and Hulliger (2008) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X200800110616>; see also <doi:10.21105/joss.03238>.
Author: Tobias Schoch [aut, cre] , R-core [cph]
Maintainer: Tobias Schoch <tobias.schoch@gmail.com>

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Package toxEval updated to version 1.3.2 with previous version 1.3.1 dated 2024-01-30

Title: Exploring Biological Relevance of Environmental Chemistry Observations
Description: Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.
Author: Laura DeCicco [aut, cre] , Steven Corsi [aut] , Daniel Villeneuve [aut] , Brett Blackwell [aut] , Gerald Ankley [aut] , Alison Appling [rev] , Dalma Martinovic [rev]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package tabxplor updated to version 1.1.2 with previous version 1.1.1 dated 2024-01-22

Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight important informations (differences from totals, comparisons between lines or columns, contributions to variance, margins of error, etc.). All functions are pipe-friendly and render data frames which can be easily manipulated. In the same time, time-taking operations are done with 'data.table' to go faster with big dataframes. Tables can be exported to 'Excel' and in html with formats and colors.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>

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Package rkt updated to version 1.7 with previous version 1.6 dated 2021-03-29

Title: Mann-Kendall Test, Seasonal and Regional Kendall Tests
Description: Contains function rkt which computes the Mann-Kendall test (MK) and the Seasonal and the Regional Kendall Tests for trend (SKT and RKT) and Theil-Sen's slope estimator.
Author: Aldo Marchetto
Maintainer: Aldo Marchetto <aldo.marchetto@cnr.it>

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Package merTools updated to version 0.6.2 with previous version 0.6.1 dated 2023-03-20

Title: Tools for Analyzing Mixed Effect Regression Models
Description: Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models. This method draws from the simulation framework used in the Gelman and Hill (2007) textbook: Data Analysis Using Regression and Multilevel/Hierarchical Models.
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer: Jared E. Knowles <jared@civilytics.com>

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Package lemon updated to version 0.4.9 with previous version 0.4.7 dated 2023-11-07

Title: Freshing Up your 'ggplot2' Plots
Description: Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Author: Stefan McKinnon Edwards [aut, ctb, cre] , Baptiste Auguie [ctb] , Shaun Jackman [ctb] , Hadley Wickham [ctb] , Winston Chang [ctb]
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>

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Package ores (with last version 0.3.2) was removed from CRAN

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

2020-08-27 0.3.2
2017-11-17 0.3.1
2017-08-02 0.3.0
2016-12-09 0.2.0
2016-01-09 0.1.0

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Package rdracor (with last version 0.7.6) was removed from CRAN

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

2023-10-22 0.7.6

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Package blockcluster (with last version 4.5.4) was removed from CRAN

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

2024-01-23 4.5.4
2023-02-17 4.5.3
2023-01-08 4.5.2

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Package multinma (with last version 0.6.0) was removed from CRAN

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

2024-01-24 0.6.0
2023-05-24 0.5.1
2022-08-29 0.5.0
2022-03-02 0.4.2
2022-02-04 0.4.1
2022-01-18 0.4.0
2021-03-18 0.3.0
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2020-06-30 0.1.3

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Package MazamaCoreUtils updated to version 0.5.2 with previous version 0.5.1 dated 2023-11-13

Title: Utility Functions for Production R Code
Description: A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.
Author: Jonathan Callahan [aut, cre], Eli Grosman [ctb], Spencer Pease [ctb], Thomas Bergamaschi [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

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Package loadeR updated to version 1.1.8 with previous version 1.1.6 dated 2023-03-27

Title: Load Data for Analysis System
Description: Provides a framework to load text and excel files through a 'shiny' graphical interface. It allows renaming, transforming, ordering and removing variables. It includes basic exploratory methods such as the mean, median, mode, normality test, histogram and correlation.
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [aut], Joseline Quiros [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package jlmerclusterperm updated to version 1.1.1 with previous version 1.1.0 dated 2023-10-07

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 datamods updated to version 1.4.4 with previous version 1.4.3 dated 2024-01-10

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Samra Goumri [aut], Zauad Shahreer Abeer [aut], Eduard Szoecs [ctb]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package SillyPutty updated to version 0.4.1 with previous version 0.3.2 dated 2023-11-08

Title: Silly Putty Clustering
Description: Implements a simple, novel clustering algorithm based on optimizing the silhouette width. See <doi:10.1101/2023.11.07.566055> for details.
Author: Kevin R. Coombes, Dwayne Tally
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package crew updated to version 0.9.0 with previous version 0.8.0 dated 2024-01-09

Title: A Distributed Worker Launcher Framework
Description: In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <https://CRAN.R-project.org/package=mirai> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.
Author: William Michael Landau [aut, cre] , Daniel Woodie [ctb], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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