Fri, 20 May 2022

Package formatters updated to version 0.3.1 with previous version 0.2.0 dated 2022-03-29

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, cre], Adrian Waddell [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Gabriel Becker <gabembecker@gmail.com>

Diff between formatters versions 0.2.0 dated 2022-03-29 and 0.3.1 dated 2022-05-20

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Package elfgen updated to version 2.3.0 with previous version 2.2.8 dated 2022-03-29

Title: Ecological Limit Function Model Generation, Analysis, and Visualization using 'ggplot2' and Statistical Methods
Description: A toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the "elfgen" framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).
Author: Joseph Kleiner [aut, cre]
Maintainer: Joseph Kleiner <joseph.d.kleiner@gmail.com>

Diff between elfgen versions 2.2.8 dated 2022-03-29 and 2.3.0 dated 2022-05-20

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More information about elfgen at CRAN
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Package CSCDRNA updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-17

Title: Covariance Based Single-Cell Decomposition of Bulk Expression Data
Description: Provides accurate cell type proportion estimation by incorporating covariance structure in both single-cell and bulk RNA-seq datasets into the analysis. For more detail, see Karimnezhad, A. (2022) <doi:10.1101/2022.05.13.491858>.
Author: Ali Karimnezhad [aut, cre, ctb]
Maintainer: Ali Karimnezhad <ali.karimnezhad@gmail.com>

Diff between CSCDRNA versions 1.0.1 dated 2022-05-17 and 1.0.2 dated 2022-05-20

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More information about CSCDRNA at CRAN
Permanent link

Package seismic updated to version 1.1 with previous version 1.0 dated 2015-06-05

Title: Predict Information Cascade by Self-Exciting Point Process
Description: An implementation of self-exciting point process model for information cascades, which occurs when many people engage in the same acts after observing the actions of others (e.g. post resharings on Facebook or Twitter). It provides functions to estimate the infectiousness of an information cascade and predict its popularity given the observed history. See <http://snap.stanford.edu/seismic/> for more information and datasets.
Author: Hera He, Murat Erdogdu, Qingyuan Zhao
Maintainer: Qingyuan Zhao <qingyzhao@gmail.com>

Diff between seismic versions 1.0 dated 2015-06-05 and 1.1 dated 2022-05-20

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More information about seismic at CRAN
Permanent link

Package DanielBiostatistics10th updated to version 0.1.3 with previous version 0.1.2 dated 2022-05-13

Title: Functions for Wayne W. Daniel's Biostatistics, Tenth Edition
Description: Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences, Tenth Edition.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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More information about DanielBiostatistics10th at CRAN
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Package correlation updated to version 0.8.1 with previous version 0.8.0 dated 2022-02-14

Title: Methods for Correlation Analysis
Description: Lightweight package for computing different kinds of correlations, such as partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more. Part of the 'easystats' ecosystem.
Author: Dominique Makowski [aut, inv] , Brenton M. Wiernik [aut, cre] , Indrajeet Patil [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Mark White [rev], Maximilian M. Rabe [rev]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

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More information about correlation at CRAN
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Package statsExpressions updated to version 1.3.2 with previous version 1.3.1 dated 2022-03-29

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between statsExpressions versions 1.3.1 dated 2022-03-29 and 1.3.2 dated 2022-05-20

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New package oscar with initial version 1.0.3
Package: oscar
Title: Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm
Version: 1.0.3
Date: 2022-05-19
Description: Optimal Subset Cardinality Regression (OSCAR) models offer regularized linear regression using the L0-pseudonorm, conventionally known as the number of non-zero coefficients. The package estimates an optimal subset of features using the L0-penalization via cross-validation, bootstrapping and visual diagnostics. Effective Fortran implementations are offered along the package for finding optima for the DC-decomposition, which is used for transforming the discrete L0-regularized optimization problem into a continuous non-convex optimization task. These optimization modules include DBDC ('Double Bundle method for nonsmooth DC optimization' as described in Joki et al. (2018) <doi:10.1137/16M1115733>) and LMBM ('Limited Memory Bundle Method for large-scale nonsmooth optimization' as in Haarala et al. (2004) <doi:10.1080/10556780410001689225>). Multiple regression model families are supported: Cox, logistic, and Gaussian.
License: GPL-3
LazyData: true
URL: https://github.com/Syksy/oscar
BugReports: https://github.com/Syksy/oscar/issues
NeedsCompilation: yes
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, hamlet, Matrix, methods, stats, survival, utils
Suggests: ePCR, glmnet, knitr, pROC, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
Packaged: 2022-05-19 13:55:26 UTC; teemu
Author: Teemu Daniel Laajala [aut, cre] , Kaisa Joki [aut], Anni Halkola [aut]
Maintainer: Teemu Daniel Laajala <teelaa@utu.fi>
Repository: CRAN
Date/Publication: 2022-05-20 18:20:01 UTC

More information about oscar at CRAN
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Package LocalControl updated to version 1.1.3 with previous version 1.1.2.2 dated 2020-11-26

Title: Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence
Description: Implements novel nonparametric approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in studies involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups. For further details, please see: Lauve NR, Nelson SJ, Young SS, Obenchain RL, Lambert CG. LocalControl: An R Package for Comparative Safety and Effectiveness Research. Journal of Statistical Software. 2020. p. 1–32. Available from <doi:10.18637/jss.v096.i04>.
Author: Nicolas R. Lauve [aut] , Stuart J. Nelson [aut] , S. Stanley Young [aut] , Robert L. Obenchain [aut] , Melania Pintilie [ctb], Martin Kutz [ctb], Christophe G. Lambert [aut, cre]
Maintainer: Christophe G. Lambert <cglambert@unm.edu>

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Package conf updated to version 1.7.1 with previous version 1.7.0 dated 2020-08-24

Title: Visualization and Analysis of Statistical Measures of Confidence
Description: Enables: (1) plotting two-dimensional confidence regions, (2) coverage analysis of confidence region simulations and (3) calculating confidence intervals and the associated actual coverage for binomial proportions. Each is given in greater detail next. (1) Plots the two-dimensional confidence region for probability distribution parameters (supported distribution suffixes: cauchy, gamma, invgauss, logis, llogis, lnorm, norm, unif, weibull) corresponding to a user-given complete or right-censored dataset and level of significance. The crplot() algorithm plots more points in areas of greater curvature to ensure a smooth appearance throughout the confidence region boundary. An alternative heuristic plots a specified number of points at roughly uniform intervals along its boundary. Both heuristics build upon the radial profile log-likelihood ratio technique for plotting confidence regions given by Jaeger (2016) <doi:10.1080/00031305.2016.1182946>, and are detailed in a publication by Weld (2019) <doi:10.1080/00031305.2018.1564696>. (2) Performs confidence region coverage simulations for a random sample drawn from a user- specified parametric population distribution, or for a user-specified dataset and point of interest with coversim(). (3) Calculates confidence interval bounds for a binomial proportion with binomTest(), calculates the actual coverage with binomTestCoverage(), and plots the actual coverage with binomTestCoveragePlot(). Calculates confidence interval bounds for the binomial proportion using an ensemble of constituent confidence intervals with binomTestEnsemble(). Calculates confidence interval bounds for the binomial proportion using a complete enumeration of all possible transitions from one actual coverage acceptance curve to another which minimizes the root mean square error for n <= 15 and follows the transitions for well-known confidence intervals for n > 15 using binomTestMSE().
Author: Christopher Weld [aut, cre] , Hayeon Park [aut], Kexin Feng [aut], Heather Sasinowska [aut], Lawrence Leemis [aut], Andrew Loh [ctb], Yuan Chang [ctb], Brock Crook [ctb], Xin Zhang [ctb]
Maintainer: Christopher Weld <ceweld@email.wm.edu>

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Package meifly updated to version 0.3.1 with previous version 0.3 dated 2014-04-23

Title: Interactive Model Exploration using 'GGobi'
Description: Exploratory model analysis with <http://ggobi.org>. Fit and graphical explore ensembles of linear models.
Author: Hadley Wickham <h.wickham@gmail.com>
Maintainer: Hadley Wickham <h.wickham@gmail.com>

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Package FCPS updated to version 1.3.1 with previous version 1.3.0 dated 2021-07-07

Title: Fundamental Clustering Problems Suite
Description: Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.
Author: Michael Thrun [aut, cre, cph] , Peter Nahrgang [ctr, ctb], Felix Pape [ctr, ctb], Vasyl Pihur [ctb], Guy Brock [ctb], Susmita Datta [ctb], Somnath Datta [ctb], Luis Winckelmann [com], Alfred Ultsch [dtc, ctb], Quirin Stier [ctb, rev]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package mapbayr (with last version 0.7.0) was removed from CRAN

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

2022-05-20 0.7.0
2022-02-18 0.6.0
2021-07-27 0.5.0
2021-04-30 0.4.1

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Package praznik updated to version 11.0.0 with previous version 10.0.0 dated 2021-11-09

Title: Tools for Information-Based Feature Selection and Scoring
Description: A toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <https://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package mikropml updated to version 1.3.0 with previous version 1.2.2 dated 2022-02-03

Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Author: Beguem Topcuoğlu [aut] , Zena Lapp [aut] , Kelly Sovacool [aut, cre] , Evan Snitkin [aut] , Jenna Wiens [aut] , Patrick Schloss [aut] , Nick Lesniak [ctb] , Courtney Armour [ctb] , Sarah Lucas [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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Package invGauss updated to version 1.2 with previous version 1.1 dated 2014-03-28

Title: Threshold Regression that Fits the (Randomized Drift) Inverse Gaussian Distribution to Survival Data
Description: Fits the (randomized drift) inverse Gaussian distribution to survival data. The model is described in Aalen OO, Borgan O, Gjessing HK. Survival and Event History Analysis. A Process Point of View. Springer, 2008. It is based on describing time to event as the barrier hitting time of a Wiener process, where drift towards the barrier has been randomized with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener process and/or average drift towards a barrier, with a user-defined choice of link functions.
Author: Hakon K. Gjessing
Maintainer: Hakon K. Gjessing <hakon.gjessing@uib.no>

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Package fritools updated to version 3.5.0 with previous version 3.4.0 dated 2022-04-26

Title: Utilities for the Forest Research Institute of the State Baden-Wuerttemberg
Description: Miscellaneous utilities, tools and helper functions for finding and searching files on disk, searching for and removing R objects from the workspace. These are utilities for packages <https://CRAN.R-project.org/package=cleanr>, <https://CRAN.R-project.org/package=document>, <https://CRAN.R-project.org/package=fakemake>, <https://CRAN.R-project.org/package=packager> and <https://CRAN.R-project.org/package=rasciidoc>. Does not import or depend on any third party package, but on core R only (i.e. it may depend on packages with priority 'base').
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package UWHAM updated to version 1.1 with previous version 1.0 dated 2013-01-26

Title: Unbinned Weighted Histogram Analysis Method (UWHAM)
Description: A method for estimating log-normalizing constants (or free energies) and expectations from multiple distributions (such as multiple generalized ensembles).
Author: Zhiqiang Tan and Emilio Gallicchio
Maintainer: Zhiqiang Tan <ztan@stat.rutgers.edu>

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Package RAthena updated to version 2.6.0 with previous version 2.5.1 dated 2022-01-26

Title: Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface)
Description: Designed to be compatible with the R package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this 'Python' 'Boto3' Software Development Kit ('SDK') <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package porridge updated to version 0.3.1 with previous version 0.3.0 dated 2022-01-08

Title: Ridge-Type Penalized Estimation of a Potpourri of Models
Description: The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2021) or ii) from non-replicated data by means of either a ridge estimator with multiple shrinkage targets (as presented in van Wieringen et al. 2020, <doi:10.1016/j.jmva.2020.104621>) or the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, <doi:10.1080/10618600.2019.1604374>). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018). On another note, the package also includes functionality for ridge-type estimation of the generalized linear model (as presented in van Wieringen, Binder, 2022, <doi:10.1080/10618600.2022.2035231>).
Author: Wessel N. van Wieringen [aut, cre] , Mehran Aflakparast [ctb]
Maintainer: Wessel N. van Wieringen <w.vanwieringen@vumc.nl>

Diff between porridge versions 0.3.0 dated 2022-01-08 and 0.3.1 dated 2022-05-20

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Package iWeigReg updated to version 1.1 with previous version 1.0 dated 2013-02-25

Title: Improved Methods for Causal Inference and Missing Data Problems
Description: Improved methods based on inverse probability weighting and outcome regression for causal inference and missing data problems.
Author: Zhiqiang Tan and Heng Shu
Maintainer: Zhiqiang Tan <ztan@stat.rutgers.edu>

Diff between iWeigReg versions 1.0 dated 2013-02-25 and 1.1 dated 2022-05-20

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Package frscore updated to version 0.2.0 with previous version 0.1.1 dated 2022-01-09

Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Description: Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Author: Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [ctb]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>

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Package tidyseurat updated to version 0.5.3 with previous version 0.5.1 dated 2022-02-03

Title: Brings Seurat to the Tidyverse
Description: It creates an invisible layer that allow to see the 'Seurat' object as tibble and interact seamlessly with the tidyverse.
Author: Stefano Mangiola [aut, cre], Maria Doyle [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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New package Yamm with initial version 1.3.2
Package: Yamm
Title: Multivariate Methods Based on Projections and Related Concepts
Version: 1.3.2
Date: 2022-04-19
Depends: R (>= 3.0), depth, robustX, interp
Suggests: animation
Maintainer: Guy Nason <g.nason@imperial.ac.uk>
Description: Functionality to compute the projection median via several algorithms. Also provides functions to plot different multivariate medians and multivariate quantiles in two-dimensional and three-dimensional data respectively. See Chen, F and Nason, G P (2020) "A new method for computing the projection median, its influence curve and techniques for the production of projected quantile plots." PLOS One <doi:10.1371/journal.pone.0229845>.
License: GPL-2
NeedsCompilation: yes
Packaged: 2022-05-19 13:54:12 UTC; guynason
Author: Fan Chen [aut], Guy Nason [aut, cre]
Repository: CRAN
Date/Publication: 2022-05-20 12:50:09 UTC

More information about Yamm at CRAN
Permanent link

Package tidyquant updated to version 1.0.4 with previous version 1.0.3 dated 2021-03-05

Title: Tidy Quantitative Financial Analysis
Description: Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package noctua updated to version 2.6.0 with previous version 2.5.1 dated 2022-01-26

Title: Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI' Interface)
Description: Designed to be compatible with the 'R' package 'DBI' (Database Interface) when connecting to Amazon Web Service ('AWS') Athena <https://aws.amazon.com/athena/>. To do this the 'R' 'AWS' Software Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a driver.
Author: Dyfan Jones [aut, cre]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package micEconAids updated to version 0.6-20 with previous version 0.6-18 dated 2017-03-16

Title: Demand Analysis with the Almost Ideal Demand System (AIDS)
Description: Functions and tools for analysing consumer demand with the Almost Ideal Demand System (AIDS) suggested by Deaton and Muellbauer (1980).
Author: Arne Henningsen
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package mapbayr updated to version 0.7.0 with previous version 0.6.0 dated 2022-02-18

Title: MAP-Bayesian Estimation of PK Parameters
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in `mrgsolve`, typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format.
Author: Felicien Le Louedec [aut, cre] , Kyle T Baron [ctb]
Maintainer: Felicien Le Louedec <lelouedec.felicien@iuct-oncopole.fr>

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Package EpiInvert updated to version 0.1.1 with previous version 0.1.0 dated 2022-05-18

Title: Estimation of Time Varying Reproduction Numbers and Restored Incidence Curves Using Variational Techniques
Description: Estimation, by inverting a renewal equation, of time-varying reproduction numbers and restored incidence curves with festive days and weekly biases corrected as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540>.
Author: Luis Alvarez [aut, cre] , Jean-David Morel [ctb] , Jean-Michel Morel [ctb]
Maintainer: Luis Alvarez <lalvarez@ulpgc.es>

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New package BootWPTOS with initial version 1.2.1
Package: BootWPTOS
Title: Test Stationarity using Bootstrap Wavelet Packet Tests
Version: 1.2.1
Date: 2022-05-19
Depends: R (>= 2.0), wavethresh, tseries
Description: Provides significance tests for second-order stationarity for time series using bootstrap wavelet packet tests. Provides functionality to visualize the time series with the results of the hypothesis tests superimposed. The methodology is described in Cardinali, A and Nason, G P (2016) "Practical powerful wavelet packet tests for second-order stationarity." Applied and Computational Harmonic Analysis, 44, 558-585 <doi:10.1016/j.acha.2016.06.006>.
License: GPL-2
NeedsCompilation: no
Packaged: 2022-05-19 17:47:06 UTC; guynason
Author: Guy Nason [aut, cre], Alessandro Cardinali [aut]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2022-05-20 12:40:02 UTC

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Package adiv updated to version 2.1.2 with previous version 2.1.1 dated 2021-09-27

Title: Analysis of Diversity
Description: Functions, data sets and examples for the calculation of various indices of biodiversity including species, functional and phylogenetic diversity. Part of the indices are expressed in terms of equivalent numbers of species. The package also provides ways to partition biodiversity across spatial or temporal scales (alpha, beta, gamma diversities). In addition to the quantification of biodiversity, ordination approaches are available which rely on diversity indices and allow the detailed identification of species, functional or phylogenetic differences between communities.
Author: Sandrine Pavoine
Maintainer: Sandrine Pavoine <sandrine.pavoine@mnhn.fr>

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Package tidytransit updated to version 1.3.1 with previous version 1.3.0 dated 2022-01-31

Title: Read, Validate, Analyze, and Map GTFS Feeds
Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.
Author: Flavio Poletti [aut, cre], Daniel Herszenhut [aut] , Mark Padgham [aut], Tom Buckley [aut], Danton Noriega-Goodwin [aut], Angela Li [ctb], Elaine McVey [ctb], Charles Hans Thompson [ctb], Michael Sumner [ctb], Patrick Hausmann [ctb], Bob Rudis [ctb], [...truncated...]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package permutes updated to version 2.4 with previous version 2.3.2 dated 2021-12-16

Title: Permutation Tests for Time Series Data
Description: Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.
Author: Cesko C. Voeten [aut, cre]
Maintainer: Cesko C. Voeten <cvoeten@gmail.com>

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Package Haplin updated to version 7.3.0 with previous version 7.2.3 dated 2020-09-07

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 triads: Estimating single- and double-dose effects of fetal and maternal disease gene haplotypes. Annals of Human Genetics (2006) 70, pp. 382-396".
Author: Hakon K. Gjessing [aut, cre], Miriam Gjerdevik [ctb] , Julia Romanowska [ctb] , Oivind Skare [ctb]
Maintainer: Hakon K. Gjessing <hakon.gjessing@uib.no>

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Package tfarima updated to version 0.3.2 with previous version 0.3.1 dated 2022-05-06

Title: Transfer Function and ARIMA Models
Description: Building customized transfer function and ARIMA models with multiple operators and parameter restrictions. Functions for model identification, model estimation (exact or conditional maximum likelihood), model diagnostic checking, automatic outlier detection, calendar effects, forecasting and seasonal adjustment. See Bell and Hillmer (1983) <doi:10.1080/01621459.1983.10478005>, Box, Jenkins, Reinsel and Ljung <ISBN:978-1-118-67502-1>, Box, Pierce and Newbold (1987) <doi:10.1080/01621459.1987.10478430>, Box and Tiao (1975) <doi:10.1080/01621459.1975.10480264>, Chen and Liu (1993) <doi:10.1080/01621459.1993.10594321>.
Author: Jose L. Gallego [aut, cre]
Maintainer: Jose L. Gallego <jose.gallego@unican.es>

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Package mclust updated to version 5.4.10 with previous version 5.4.9 dated 2021-12-17

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut] , Luca Scrucca [aut, cre] , Thomas Brendan Murphy [ctb] , Michael Fop [ctb]
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

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Package HMR updated to version 1.0.2 with previous version 1.0.1 dated 2020-05-20

Title: Flux Estimation with Static Chamber Data
Description: Statistical analysis of static chamber concentration data for trace gas flux estimation.
Author: Asger R. Pedersen <asger@clin.au.dk>
Maintainer: Asger R. Pedersen <asger@clin.au.dk>

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Package freealg updated to version 1.0-7 with previous version 1.0-6 dated 2022-04-10

Title: The Free Algebra
Description: The free algebra in R; multivariate polynomials with non-commuting indeterminates.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package DQAgui updated to version 0.2.0 with previous version 0.1.8 dated 2022-02-21

Title: Graphical User Interface for Data Quality Assessment
Description: A graphical user interface (GUI) to the functions implemented in the R package 'DQAstats'.
Author: Lorenz A. Kapsner [cre, aut] , Jonathan M. Mang [aut] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen [cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@uk-erlangen.de>

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Package RInSp updated to version 1.2.5 with previous version 1.2.4 dated 2020-02-11

Title: R Individual Specialization
Description: Functions to calculate several ecological indices of individual and population niche width (Araujo's E, clustering and pairwise similarity among individuals, IS, Petraitis' W, and Roughgarden's WIC/TNW) to assess individual specialization based on data of resource use. Resource use can be quantified by counts of categories, measures of mass or length, or proportions. Monte Carlo resampling procedures are available for hypothesis testing against multinomial null models. Details are provided in Zaccarelli et al. (2013) <doi:10.1111/2041-210X.12079> and associated references.
Author: Dr. Nicola Zaccarelli [aut, cre], Giorgio Mancinelli [aut], Dan Bolnick [ctb]
Maintainer: Dr. Nicola Zaccarelli <nicola.zaccarelli@gmail.com>

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Package tidyHeatmap updated to version 1.8.1 with previous version 1.6.0 dated 2022-01-28

Title: A Tidy Implementation of Heatmap
Description: This is a tidy implementation for heatmap. At the moment it is based on the (great) package 'ComplexHeatmap'. The goal of this package is to interface a tidy data frame with this powerful tool. Some of the advantages are: Row and/or columns colour annotations are easy to integrate just specifying one parameter (column names). Custom grouping of rows is easy to specify providing a grouped tbl. For example: df %>% group_by(...). Labels size adjusted by row and column total number. Default use of Brewer and Viridis palettes.
Author: Stefano Mangiola [aut, cre], Anthony Papenfuss [ctb]
Maintainer: Stefano Mangiola <mangiolastefano@gmail.com>

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Package survAUC updated to version 1.1-1 with previous version 1.1-0 dated 2022-05-18

Title: Estimators of Prediction Accuracy for Time-to-Event Data
Description: Provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.
Author: Sergej Potapov, Werner Adler and Matthias Schmid.
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

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Package summarytools updated to version 1.0.1 with previous version 1.0.0 dated 2021-07-28

Title: Tools to Quickly and Neatly Summarize Data
Description: Data frame summaries, cross-tabulations, weight-enabled frequency tables and common descriptive (univariate) statistics in concise tables available in a variety of formats (plain ASCII, Markdown and HTML). A good point-of-entry for exploring data, both for experienced and new R users.
Author: Dominic Comtois [aut, cre]
Maintainer: Dominic Comtois <dominic.comtois@gmail.com>

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Package SightabilityModel updated to version 1.5 with previous version 1.4.2 dated 2021-10-06

Title: Wildlife Sightability Modeling
Description: Uses logistic regression to model the probability of detection as a function of covariates. This model is then used with observational survey data to estimate population size, while accounting for uncertain detection. See Steinhorst and Samuel (1989).
Author: Fieberg John [aut], Schwarz Carl James [aut, cre]
Maintainer: Schwarz Carl James <cschwarz.stat.sfu.ca@gmail.com>

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Package rockchalk updated to version 1.8.152 with previous version 1.8.151 dated 2022-02-13

Title: Regression Estimation and Presentation
Description: A collection of functions for interpretation and presentation of regression analysis. These functions are used to produce the statistics lectures in <https://pj.freefaculty.org/guides/>. Includes regression diagnostics, regression tables, and plots of interactions and "moderator" variables. The emphasis is on "mean-centered" and "residual-centered" predictors. The vignette 'rockchalk' offers a fairly comprehensive overview. The vignette 'Rstyle' has advice about coding in R. The package title 'rockchalk' refers to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.
Author: Paul E. Johnson [aut, cre], Gabor Grothendieck [ctb]
Maintainer: Paul E. Johnson <pauljohn@ku.edu>

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Package precommit updated to version 0.3.0 with previous version 0.2.1 dated 2021-12-14

Title: Pre-Commit Hooks
Description: Useful git hooks for R building on top of the multi-language framework 'pre-commit' for hook management. This package provides git hooks for common tasks like formatting files with 'styler' or spell checking as well as wrapper functions to access the 'pre-commit' executable.
Author: Lorenz Walthert
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

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Package ICC updated to version 2.4.0 with previous version 2.3.0 dated 2015-06-17

Title: Facilitating Estimation of the Intraclass Correlation Coefficient
Description: Assist in the estimation of the Intraclass Correlation Coefficient (ICC) from variance components of a one-way analysis of variance and also estimate the number of individuals or groups necessary to obtain an ICC estimate with a desired confidence interval width.
Author: Matthew Wolak [cre, aut]
Maintainer: Matthew Wolak <matthewwolak@gmail.com>

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Package hgwrr updated to version 0.2-2 with previous version 0.2-1 dated 2022-05-18

Title: Hierarchical and Geographically Weighted Regression
Description: This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
Author: Yigong Hu
Maintainer: Yigong Hu <yigong.hu@bristol.ac.uk>

Diff between hgwrr versions 0.2-1 dated 2022-05-18 and 0.2-2 dated 2022-05-20

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Package finbif updated to version 0.6.5 with previous version 0.6.4 dated 2022-03-10

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

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Package classifly updated to version 0.4.1 with previous version 0.4 dated 2014-04-23

Title: Explore Classification Models in High Dimensions
Description: Given $p$-dimensional training data containing $d$ groups (the design space), a classification algorithm (classifier) predicts which group new data belongs to. Generally the input to these algorithms is high dimensional, and the boundaries between groups will be high dimensional and perhaps curvilinear or multi-faceted. This package implements methods for understanding the division of space between the groups.
Author: Hadley Wickham <h.wickham@gmail.com>
Maintainer: Hadley Wickham <h.wickham@gmail.com>

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Package ARpLMEC updated to version 2.4 with previous version 2.3 dated 2022-04-27

Title: Censored Mixed-Effects Models with Different Correlation Structures
Description: Left, right or interval censored mixed-effects linear model with autoregressive errors of order p or DEC correlation structure using the type-EM algorithm. The error distribution can be Normal or t-Student. It provides the parameter estimates, the standard errors and prediction of future observations (available only for the normal case). Olivari et all (2021) <doi:10.1080/10543406.2020.1852246>.
Author: Rommy C. Olivari, Kelin Zhong, Aldo M. Garay and Victor H. Lachos
Maintainer: Rommy C. Olivari <rco1@de.ufpe.br>

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