Sat, 13 Nov 2021

Package rosetta updated to version 0.3.9 with previous version 0.3.8 dated 2021-10-30

Title: Parallel Use of Statistical Packages in Teaching
Description: When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats website (<https://rosettastats.com>) allows comparing analyses in different packages. This package is the companion to the Rosetta Stats website, aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics.
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Ron Pat-El [ctb] (<https://orcid.org/0000-0002-4742-0163>), Peter Verboon [ctb] (<https://orcid.org/0000-0001-8656-0890>), Melissa Gordon Wolf [ctb] (<https://orcid.org/0000-0001-7677-0659>)
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>

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Package ufs updated to version 0.5.2 with previous version 0.4.3 dated 2021-02-01

Title: A Collection of Utilities
Description: This is a new version of the 'userfriendlyscience' package, which has grown a bit unwieldy. Therefore, distinct functionalities are being 'consciously uncoupled' into different packages. This package contains the general-purpose tools and utilities (see the 'behaviorchange' package, the 'rosetta' package, and the soon-to-be-released 'scd' package for other functionality), and is the most direct 'successor' of the original 'userfriendlyscience' package. For example, this package contains a number of basic functions to create higher level plots, such as diamond plots, to easily plot sampling distributions, to generate confidence intervals, to plan study sample sizes for confidence intervals, and to do some basic operations such as (dis)attenuate effect size estimates.
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Stefan Gruijters [ctb] (<https://orcid.org/0000-0003-0141-0071>)
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>

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Package longitudinal updated to version 1.1.13 with previous version 1.1.12 dated 2015-07-08

Title: Analysis of Multiple Time Course Data
Description: Contains general data structures and functions for longitudinal data with multiple variables, repeated measurements, and irregularly spaced time points. Also implements a shrinkage estimator of dynamical correlation and dynamical covariance.
Author: Rainer Opgen-Rhein and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package fdrtool updated to version 1.2.17 with previous version 1.2.16 dated 2021-01-06

Title: Estimation of (Local) False Discovery Rates and Higher Criticism
Description: Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold.
Author: Bernd Klaus and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package proxirr updated to version 0.2 with previous version 0.1 dated 2021-10-20

Title: Alpha and Beta Proximity to Irreplaceability
Description: Functions to measure Alpha and Beta Proximity to Irreplaceability. The methods for Alpha and Beta irreplaceability were first described in: Baisero D., Schuster R. & Plumptre A.J. Redefining and Mapping Global Irreplaceability. Conservation Biology 2021;1-11. <doi:10.1111/cobi.13806>.
Author: Daniele Baisero [aut, cre, cph] (<https://orcid.org/0000-0002-1266-7174>)
Maintainer: Daniele Baisero <daniele.baisero@gmail.com>

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Package PMCMRplus updated to version 1.9.3 with previous version 1.9.2 dated 2021-10-13

Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
Description: For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehrotra test, Spearman test) are included. In addition, a Friedman-test for one-way ANOVA with repeated measures on ranks (CRBD) and Skillings-Mack test for unbalanced CRBD is provided with consequent all-pairs tests (Nemenyi test, Siegel test, Miller test, Conover test, Exact test) and many-to-one tests (Nemenyi test, Demsar test, Exact test). A trend can be tested with Pages's test. Durbin's test for a two-way balanced incomplete block design (BIBD) is given in this package as well as Gore's test for CRBD with multiple observations per cell is given. Outlier tests, Mandel's k- and h statistic as well as functions for Type I error and Power analysis as well as generic summary, print and plot methods are provided.
Author: Thorsten Pohlert [aut, cre] (<https://orcid.org/0000-0003-3855-3025>)
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package memoiR updated to version 1.1-3 with previous version 1.1-2 dated 2021-09-03

Title: R Markdown and Bookdown Templates to Publish Documents
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>)
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package stevedata updated to version 0.6.0 with previous version 0.5.0 dated 2021-09-08

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre] (<https://orcid.org/0000-0003-4072-6263>)
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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Package OddsPlotty updated to version 1.0.2 with previous version 1.0.1 dated 2021-06-22

Title: Odds Plot to Visualise a Logistic Regression Model
Description: Uses the outputs of a logistic regression model, from caret <https://CRAN.R-project.org/package=caret>, to build an odds plot. This allows for the rapid visualisation of odds plot ratios and works best with the outputs of CARET's GLM model class, by returning the final trained model.
Author: Gary Hutson [aut, cre] (<https://orcid.org/0000-0003-3534-6143>)
Maintainer: Gary Hutson <hutsons-hacks@outlook.com>

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Package lidR updated to version 3.2.3 with previous version 3.2.2 dated 2021-10-20

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor()), Leon Steinmeier [ctb] (Contributed to parallelization management), Stanislaw Adaszewski [cph] (Author of the C++ concaveman code)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package SpatialEpiApp (with last version 0.3) was removed from CRAN

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

2017-08-28 0.3
2017-06-02 0.2
2017-02-27 0.1

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Package gamlss.dist updated to version 6.0-1 with previous version 5.3-2 dated 2021-03-09

Title: Distributions for Generalized Additive Models for Location Scale and Shape
Description: A set of distributions which can be used for modelling the response variables in Generalized Additive Models for Location Scale and Shape, Rigby and Stasinopoulos (2005), <doi:10.1111/j.1467-9876.2005.00510.x>. The distributions can be continuous, discrete or mixed distributions. Extra distributions can be created, by transforming, any continuous distribution defined on the real line, to a distribution defined on ranges 0 to infinity or 0 to 1, by using a ''log'' or a ''logit' transformation respectively.
Author: Mikis Stasinopoulos [aut, cre, cph], Robert Rigby [aut], Calliope Akantziliotou [ctb], Vlasios Voudouris [ctb], Gillian Heller [ctb], Fernanda De Bastiani [ctb], Raydonal Ospina [ctb], Nicoletta Motpan [ctb], Fiona McElduff [ctb], Majid Djennad [ctb], Marco Enea [ctb], Alexios Ghalanos [ctb], Christos Argyropoulos [ctb], Almond Stocker [ctb], Jens Lichter [ctb], Stanislaus Stadlmann [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@londonmet.ac.uk>

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Package DRDID updated to version 1.0.3 with previous version 1.0.1 dated 2021-01-07

Title: Doubly Robust Difference-in-Differences Estimators
Description: Implements the locally efficient doubly robust difference-in-differences (DiD) estimators for the average treatment effect proposed by Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>. The estimator combines inverse probability weighting and outcome regression estimators (also implemented in the package) to form estimators with more attractive statistical properties. Two different estimation methods can be used to estimate the nuisance functions.
Author: Pedro H. C. Sant'Anna [aut, cre], Jun Zhao [aut]
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>

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Package SpatialEpi updated to version 1.2.6 with previous version 1.2.5 dated 2021-08-02

Title: Methods and Data for Spatial Epidemiology
Description: Methods and data for cluster detection and disease mapping.
Author: Cici Chen [ctb], Albert Y. Kim [aut, cre] (<https://orcid.org/0000-0001-7824-306X>), Michelle Ross [ctb], Jon Wakefield [aut], Mikael Moise [aut] (<https://orcid.org/0000-0002-3608-1178>)
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

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Package reporter updated to version 1.2.6 with previous version 1.2.0 dated 2021-10-10

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF and HTML file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package pcoxtime updated to version 1.0.3 with previous version 1.0.2 dated 2021-07-06

Title: Penalized Cox Proportional Hazard Model for Time-Dependent Covariates
Description: Fits penalized models for both time-independent and time-dependent survival data. It fully implements elastic net and uses proximal gradient descent to solve the optimization problem. The package is an implementation of Steve Cygu and Benjamin M. Bolker. (2021) <arXiv:2102.02297>.
Author: Bicko Cygu [aut, cre] (<https://orcid.org/0000-0002-9284-8863>), Ben Bolker [aut] (<https://orcid.org/0000-0002-2127-0443>), Trevor Hastie [cph] (getmin function implementation copied from package glmnet)
Maintainer: Bicko Cygu <cygubicko@gmail.com>

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Package ensembleBMA updated to version 5.1.7 with previous version 5.1.6 dated 2021-10-02

Title: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging
Description: Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations <https://stat.uw.edu/sites/default/files/files/reports/2007/tr516.pdf>.
Author: Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann Gneiting, University of Washington.
Maintainer: Chris Fraley <fraley@u.washington.edu>

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Package BGLR updated to version 1.0.9 with previous version 1.0.8 dated 2018-11-11

Title: Bayesian Generalized Linear Regression
Description: Bayesian Generalized Linear Regression.
Author: Gustavo de los Campos, Paulino Perez Rodriguez
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

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Package arules updated to version 1.7-0 with previous version 1.6-8 dated 2021-05-17

Title: Mining Association Rules and Frequent Itemsets
Description: Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides C implementations of the association mining algorithms Apriori and Eclat. Hahsler, Gruen and Hornik (2005) <doi:10.18637/jss.v014.i15>.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Bettina Gruen [aut, cph], Kurt Hornik [aut, cph], Ian Johnson [ctb, cph], Christian Borgelt [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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