Tue, 28 Sep 2021

Package rpf updated to version 1.0.9 with previous version 1.0.8 dated 2021-08-11

Title: Response Probability Functions
Description: The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable(). This software is described in Pritikin & Falk (2020) <doi:10.1177/0146621620929431>.
Author: Joshua Pritikin [cre, aut], Jonathan Weeks [ctb], Li Cai [ctb], Carrie Houts [ctb], Phil Chalmers [ctb], Michael D. Hunter [ctb], Carl F. Falk [ctb]
Maintainer: Joshua Pritikin <jpritikin@pobox.com>

Diff between rpf versions 1.0.8 dated 2021-08-11 and 1.0.9 dated 2021-09-28

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Package tis updated to version 1.39 with previous version 1.38 dated 2020-02-10

Title: Time Indexes and Time Indexed Series
Description: Functions and S3 classes for time indexes and time indexed series, which are compatible with FAME frequencies.
Author: Jeff Hallman <jeffhallman@gmail.com>
Maintainer: Brian Salzer <brian.m.salzer@frb.gov>

Diff between tis versions 1.38 dated 2020-02-10 and 1.39 dated 2021-09-28

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Package diveR updated to version 0.1.2 with previous version 0.1.1 dated 2021-05-10

Title: Easily Install and Load Interactive Data Visualization Tools
Description: A suite of 'loon' related packages providing data analytic tools for Direct Interactive Visual Exploration in R ('diveR'). These tools work with and complement those of the 'tidyverse' suite, extending the grammar of 'ggplot2' to become a grammar of interactive graphics. The suite provides many visual tools designed for moderately (100s of variables) high dimensional data analysis, through 'zenplots' and novel tools in 'loon', and extends the 'ggplot2' grammar to provide parallel coordinates, Andrews plots, and arbitrary glyphs through 'ggmulti'. The 'diveR' package gathers together and installs all these related packages in a single step.
Author: R. Wayne Oldford [aut, cre]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

Diff between diveR versions 0.1.1 dated 2021-05-10 and 0.1.2 dated 2021-09-28

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Package fungible updated to version 1.99 with previous version 1.98 dated 2021-09-06

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, <DOI:10.1080/00273171.2016.1178566>. 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 matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

Diff between fungible versions 1.98 dated 2021-09-06 and 1.99 dated 2021-09-28

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Package Surrogate updated to version 2.0 with previous version 1.9 dated 2021-07-06

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

Diff between Surrogate versions 1.9 dated 2021-07-06 and 2.0 dated 2021-09-28

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Package nimble updated to version 0.12.0 with previous version 0.11.1 dated 2021-05-23

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual is available at <https://r-nimble.org>.
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system), Abel Rodrìguez [aut] (Bayesian nonparametrics system), Duncan Temple Lang [aut] (packaging configuration), Sally Paganin [aut] (reversible jump MCMC), Joshua Hug [aut] (WAIC), Jagadish Babu [ctb] (code for the compilation system for an early version of NIMBLE), Lauren Ponisio [ctb] (contributions to the cross-validation code), Peter Sujan [ctb] (multivariate t distribution code)
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 0.11.1 dated 2021-05-23 and 0.12.0 dated 2021-09-28

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Package knitr updated to version 1.35 with previous version 1.34 dated 2021-09-09

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Abhraneel Sarma [ctb], Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Bulat Yapparov [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hall [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Ellis Hughes [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Niels Richard Hansen [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Pavel N. Krivitsky [ctb] (<https://orcid.org/0000-0002-9101-3362>), Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between knitr versions 1.34 dated 2021-09-09 and 1.35 dated 2021-09-28

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Package httr2 updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-22

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between httr2 versions 0.1.0 dated 2021-09-22 and 0.1.1 dated 2021-09-28

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More information about httr2 at CRAN
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Package DoE.MIParray updated to version 1.0 with previous version 0.13 dated 2019-07-13

Title: Creation of Arrays by Mixed Integer Programming
Description: 'CRAN' packages 'DoE.base' and 'Rmosek' and non-'CRAN' package 'gurobi' are enhanced with functionality for the creation of optimized arrays for experimentation, where optimization is in terms of generalized minimum aberration. It is also possible to optimally extend existing arrays to larger run size. The package writes 'MPS' (Mathematical Programming System) files for use with any mixed integer optimization software that can process such files. If at least one of the commercial products 'Gurobi' or 'Mosek' (free academic licenses available for both) is available, the package also creates arrays by optimization. For installing 'Gurobi' and its R package 'gurobi', follow instructions at <https://www.gurobi.com/products/gurobi-optimizer/> and <https://www.gurobi.com/documentation/7.5/refman/r_api_overview.html> (or higher version). For installing 'Mosek' and its R package 'Rmosek', follow instructions at <https://www.mosek.com/downloads/> and <https://docs.mosek.com/8.1/rmosek/install-interface.html>, or use the functionality in the stump CRAN R package 'Rmosek'.
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

Diff between DoE.MIParray versions 0.13 dated 2019-07-13 and 1.0 dated 2021-09-28

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Package LSDsensitivity updated to version 1.1.2 with previous version 1.1.1 dated 2021-09-26

Title: Sensitivity Analysis Tools for LSD Simulations
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <https://www.labsimdev.org/>).
Author: Marcelo C. Pereira [aut, cre] (<https://orcid.org/0000-0002-8069-2734>)
Maintainer: Marcelo C. Pereira <mcper@unicamp.br>

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Package bqror updated to version 1.2.0 with previous version 1.1.0 dated 2021-09-12

Title: Bayesian Quantile Regression for Ordinal Models
Description: Provides functions for estimating Bayesian quantile regression for ordinal models, calculating covariate effects, and computing measures for model comparision. Specifically, the package offers two estimation functions - one for an ordinal model with more than three outcomes. For each ordinal model, the package provides functions to calculate the covariate effect using the MCMC outputs. The package also computes marginal likelihood (recommended) and the Deviance Information Criterion (DIC) for comparing alternative quantile regression models. Besides, the package also contains functions for making trace plots of MCMC draws and other functions that aids the estimation or inference of quantile ordinal models. Rahman, M. A. (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis, II(I): 1-24 <doi:10.1214/15-BA939>. Yu, K., and Moyeed, R. A. (2001). “Bayesian Quantile Regression.” Statistics and Probability Letters, 54(4): 437–447 <doi:10.1016/S0167-7152(01)00124-9>. Koenker, R., and Bassett, G. (1978).“Regression Quantiles.” Econometrica, 46(1): 33-50 <doi:10.2307/1913643>. Chib, S. (1995). “Marginal likelihood from the Gibbs output.” Journal of the American Statistical Association, 90(432):1313–1321, 1995. <doi: 10.1080/01621459.1995.10476635>. Chib, S., and Jeliazkov, I. (2001). “Marginal likelihood from the Metropolis-Hastings output.” Journal of the American Statistical Association, 96(453):270–281, 2001. <doi: 10.1198/016214501750332848>.
Author: Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>

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Package PPTcirc updated to version 0.2.1 with previous version 0.2.0 dated 2021-05-14

Title: Projected Polya Tree for Circular Data
Description: Provides functionality for the prior and posterior projected Polya tree for the analysis of circular data (Nieto-Barajas and Nunez-Antonio (2019) <arXiv:1902.06020>).
Author: Karla Mayra Perez [aut, cre], Luis E. Nieto-Barajas [aut]
Maintainer: Karla Mayra Perez <karla.mayra25@gmail.com>

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Package pharmaRTF updated to version 0.1.4 with previous version 0.1.3 dated 2021-05-27

Title: Enhanced RTF Wrapper for Use with Existing Table Packages
Description: Enhanced RTF wrapper written in R for use with existing R tables packages such as 'Huxtable' or 'GT'. This package fills a gap where tables in certain packages can be written out to RTF, but cannot add certain metadata or features to the document that are required/expected in a report for a regulatory submission, such as multiple levels of titles and footnotes, making the document landscape, and controlling properties such as margins.
Author: Eli Miller [aut] (<https://orcid.org/0000-0002-2127-9456>), Ashley Tarasiewicz [aut], Michael Stackhouse [aut, cre] (<https://orcid.org/0000-0001-6030-723X>), Atorus Research LLC [cph]
Maintainer: Michael Stackhouse <mike.stackhouse@atorusresearch.com>

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Package loon.ggplot updated to version 1.3.0 with previous version 1.2.1 dated 2021-06-10

Title: A Grammar of Interactive Graphics
Description: Provides a bridge between the 'loon' and 'ggplot2' packages. Extends the grammar of ggplot to add clauses to create interactive 'loon' plots. Existing ggplot(s) can be turned into interactive 'loon' plots and 'loon' plots into static ggplot(s); the function 'loon.ggplot()' is the bridge from one plot structure to the other.
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>

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Package hal9001 updated to version 0.4.1 with previous version 0.2.7 dated 2021-01-22

Title: The Scalable Highly Adaptive Lasso
Description: A scalable implementation of the highly adaptive lasso algorithm, including routines for constructing sparse matrices of basis functions of the observed data, as well as a custom implementation of Lasso regression tailored to enhance efficiency when the matrix of predictors is composed exclusively of indicator functions. For ease of use and increased flexibility, the Lasso fitting routines invoke code from the 'glmnet' package by default. The highly adaptive lasso was first formulated and described by MJ van der Laan (2017) <doi:10.1515/ijb-2015-0097>, with practical demonstrations of its performance given by Benkeser and van der Laan (2016) <doi:10.1109/DSAA.2016.93>. This implementation of the highly adaptive lasso algorithm was described by Hejazi, Coyle, and van der Laan (2020) <doi:10.21105/joss.02526>.
Author: Jeremy Coyle [aut, cre] (<https://orcid.org/0000-0002-9874-6649>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Rachael Phillips [aut] (<https://orcid.org/0000-0002-8474-591X>), Lars van der Laan [aut], David Benkeser [ctb] (<https://orcid.org/0000-0002-1019-8343>), Oleg Sofrygin [ctb], Weixin Cai [ctb] (<https://orcid.org/0000-0003-2680-3066>), Mark van der Laan [aut, cph, ths] (<https://orcid.org/0000-0003-1432-5511>)
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>

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Package caret updated to version 6.0-89 with previous version 6.0-88 dated 2021-05-15

Title: Classification and Regression Training
Description: Misc functions for training and plotting classification and regression models.
Author: Max Kuhn [aut, cre], Jed Wing [ctb], Steve Weston [ctb], Andre Williams [ctb], Chris Keefer [ctb], Allan Engelhardt [ctb], Tony Cooper [ctb], Zachary Mayer [ctb], Brenton Kenkel [ctb], R Core Team [ctb], Michael Benesty [ctb], Reynald Lescarbeau [ctb], Andrew Ziem [ctb], Luca Scrucca [ctb], Yuan Tang [ctb], Can Candan [ctb], Tyler Hunt [ctb]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package bayesdfa updated to version 1.2.0 with previous version 1.1.0 dated 2021-05-28

Title: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic factor analysis is a dimension reduction tool for multivariate time series. 'bayesdfa' extends conventional dynamic factor models in several ways. First, extreme events may be estimated in the latent trend by modeling process error with a student-t distribution. Second, alternative constraints (including proportions are allowed). Third, the estimated dynamic factors can be analyzed with hidden Markov models to evaluate support for latent regimes.
Author: Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Michael J. Malick [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D. Scheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri [ctb], Trustees of Columbia University [cph]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>

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Package spinifex updated to version 0.3.1 with previous version 0.2.8 dated 2021-04-18

Title: Manual Tours, Manual Control of Dynamic Projections of Numeric Multivariate Data
Description: Data visualization tours animates linear projection of multivariate data as its basis (ie. orientation) changes. The 'spinifex' packages generates paths for manual tours by manipulating the contribution of a single variable at a time Cook & Buja (1997) <doi:10.1080/10618600.1997.10474754>. Other types of tours, such as grand (random walk) and guided (optimizing some objective function) are available in the 'tourr' package Wickham et al. <doi:10.18637/jss.v040.i02>. 'spinifex' builds on 'tourr' and can render tours with 'gganimate' and 'plotly' graphics, and allows for exporting as an .html widget and as an .gif, respectively. This work is fully discussed in Spyrison & Cook (2020) <doi:10.32614/RJ-2020-027>.
Author: Nicholas Spyrison [aut, cre], Dianne Cook [aut, ths]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>

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Package psychotools updated to version 0.7-0 with previous version 0.6-1 dated 2021-05-21

Title: Psychometric Modeling Infrastructure
Description: Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Carolin Strobl [aut], Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] (<https://orcid.org/0000-0003-4152-5308>), Rudolf Debelak [aut] (<https://orcid.org/0000-0001-8900-2106>)
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between psychotools versions 0.6-1 dated 2021-05-21 and 0.7-0 dated 2021-09-28

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New package qmd with initial version 1.0.0
Package: qmd
Title: Quantification of Multivariate Dependence
Version: 1.0.0
Description: A multivariate copula-based dependence measure. For more information, see Griessenberger, Junker, Trutschnig (2021), On a multivariate copula-based dependence measure and its estimation, <arXiv:2109.12883>.
License: GPL (>= 2)
Imports: qad
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-28 05:42:02 UTC; Florian
Author: Florian Griessenberger [aut, cre], Robert R. Junker [aut], Wolfgang Trutschnig [aut]
Maintainer: Florian Griessenberger <florian.griessenberger@sbg.ac.at>
Repository: CRAN
Date/Publication: 2021-09-28 12:50:02 UTC

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Package fixest updated to version 0.10.0 with previous version 0.9.0 dated 2021-06-19

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre], Sebastian Krantz [ctb], Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>)
Maintainer: Laurent Berge <laurent.berge@u-bordeaux.fr>

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New package flintyR with initial version 0.0.2
Package: flintyR
Title: Flexible and Interpretable Non-Parametric Tests of Exchangeability
Version: 0.0.2
Date: 2021-09-27
Description: Given a multivariate dataset and some knowledge about the dependencies between its features, it is important to ensure the observations or individuals are exchangeable before fitting a model to the data in order to make inferences from it, or assigning randomized treatments in order to estimate treatment effects. This package provides a flexible non-parametric test of exchangeability, allowing the user to specify the feature dependencies by hand. It can be used directly to evaluate whether a sample is exchangeable, and can also be piped into larger procedures that require exchangeable samples as outputs (e.g., clustering or community detection). See Aw, Spence and Song (2021+) for the accompanying paper.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.6), doParallel, foreach, assertthat, testthat, stats
Suggests: rmarkdown, knitr, devtools, tidyverse
LinkingTo: Rcpp, RcppArmadillo
URL: https://alanaw1.github.io/flintyR/
BugReports: https://github.com/alanaw1/flintyR/issues
NeedsCompilation: yes
Packaged: 2021-09-27 22:44:09 UTC; alanaw
Author: Alan Aw [cre, aut] (<https://orcid.org/0000-0001-9455-7878>), Jeffrey Spence [ctb]
Maintainer: Alan Aw <alanaw1@berkeley.edu>
Repository: CRAN
Date/Publication: 2021-09-28 12:40:07 UTC

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Package DHARMa updated to version 0.4.4 with previous version 0.4.3 dated 2021-07-07

Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
Description: The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB' 'GLMMadaptive' and 'spaMM', generalized additive models ('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
Author: Florian Hartig [aut, cre] (<https://orcid.org/0000-0002-6255-9059>), Lukas Lohse [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

Diff between DHARMa versions 0.4.3 dated 2021-07-07 and 0.4.4 dated 2021-09-28

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New package ccmEstimator with initial version 1.0.0
Package: ccmEstimator
Title: Comparative Causal Mediation Estimation
Version: 1.0.0
Maintainer: Xiaohan Wu <xiw021@ucsd.edu>
Description: Functions to perform comparative causal mediation analysis to compare the mediation effects of different treatments via a common mediator. Results contain the estimates and confidence intervals for the two comparative causal mediation analysis estimands, as well as the ATE and ACME for each treatment. Functions provided in the package will automatically assess the comparative causal mediation analysis scope conditions (i.e. for each comparative causal mediation estimand, a numerator and denominator that are both estimated with the desired statistical significance and of the same sign). Results will be returned for each comparative causal mediation estimand only if scope conditions are met for it. See details in Bansak(2020)<doi:10.1017/pan.2019.31>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, covr, testthat
VignetteBuilder: knitr
URL: https://github.com/xiw021/ccmEstimator
BugReports: https://github.com/xiw021/ccmEstimator/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-09-14 16:45:31 UTC; wuxiaohan
Author: Kirk Bansak [aut], Xiaohan Wu [aut, cre]
Repository: CRAN
Date/Publication: 2021-09-28 12:20:02 UTC

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New package wordpiece.data with initial version 1.0.1
Package: wordpiece.data
Title: Data for Wordpiece-Style Tokenization
Version: 1.0.1
Description: Provides data to be used by the wordpiece algorithm in order to tokenize text into somewhat meaningful chunks. Included vocabularies were retrieved from <https://huggingface.co/bert-base-cased/resolve/main/vocab.txt> and <https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt> and parsed into an R-friendly format.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/macmillancontentscience/wordpiece.data
BugReports: https://github.com/macmillancontentscience/wordpiece.data/issues
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-09-27 16:50:57 UTC; jonth
Author: Jonathan Bratt [aut] (<https://orcid.org/0000-0003-2859-0076>), Jon Harmon [aut, cre] (<https://orcid.org/0000-0003-4781-4346>), Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph], Google, Inc [cph] (original BERT base uncased vocabulary)
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-28 11:20:02 UTC

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Package spcr updated to version 2.1 with previous version 2.0 dated 2016-10-03

Title: Sparse Principal Component Regression
Description: The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.
Author: Shuichi Kawano
Maintainer: Shuichi Kawano <skawano@ai.lab.uec.ac.jp>

Diff between spcr versions 2.0 dated 2016-10-03 and 2.1 dated 2021-09-28

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Package lcc updated to version 1.1.3 with previous version 1.1.2 dated 2021-02-26

Title: Longitudinal Concordance Correlation
Description: Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018) <doi:10.1007/s13253-018-0321-1>. In addition, non-parametric confidence intervals were implemented using percentile method or normal-approximation based on Fisher Z-transformation.
Author: Thiago de Paula Oliveira [aut, cre] (<https://orcid.org/0000-0002-4555-2584>), Rafael de Andrade Moral [aut] (<https://orcid.org/0000-0002-0875-3563>), Silvio Sandoval Zocchi [ctb] (<https://orcid.org/0000-0003-2535-908X>), Clarice Garcia Borges Demetrio [ctb] (<https://orcid.org/0000-0002-3609-178X>), John Hinde [aut] (<https://orcid.org/0000-0001-6507-5204>)
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@alumni.usp.br>

Diff between lcc versions 1.1.2 dated 2021-02-26 and 1.1.3 dated 2021-09-28

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Package fitdistrplus updated to version 1.1-6 with previous version 1.1-5 dated 2021-05-28

Title: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Description: Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME), maximum goodness-of-fit estimation (MGE) and maximum spacing estimation (MSE) methods (available only for non-censored data). Weighted versions of MLE, MME, QME and MSE are available. See e.g. Casella & Berger (2002), Statistical inference, Pacific Grove, for a general introduction to parametric estimation.
Author: Marie-Laure Delignette-Muller [aut], Christophe Dutang [aut], Regis Pouillot [ctb], Jean-Baptiste Denis [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between fitdistrplus versions 1.1-5 dated 2021-05-28 and 1.1-6 dated 2021-09-28

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Package AlphaPart updated to version 0.8.3 with previous version 0.8.2 dated 2021-09-21

Title: Partition/Decomposition of Breeding Values by Paths of Information
Description: A software that implements a method for partitioning genetic trends to quantify the sources of genetic gain in breeding programmes. The partitioning method is described in Garcia-Cortes et al. (2008) <doi:10.1017/S175173110800205X>. The package includes the main function AlphaPart for partitioning breeding values and auxiliary functions for manipulating data and summarizing, visualizing, and saving results.
Author: Gregor Gorjanc [aut, cre] (<https://orcid.org/0000-0001-8008-2787>), Jana Obsteter [aut] (<https://orcid.org/0000-0003-1511-3916>), Thiago de Paula Oliveira [aut] (<https://orcid.org/0000-0002-4555-2584>)
Maintainer: Gregor Gorjanc <gregor.gorjanc@roslin.ed.ac.uk>

Diff between AlphaPart versions 0.8.2 dated 2021-09-21 and 0.8.3 dated 2021-09-28

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New package ZIPBayes with initial version 1.0.1
Package: ZIPBayes
Title: Bayesian Methods in the Analysis of Zero-Inflated Poisson Model
Version: 1.0.1
Date: 2021-09-27
Description: Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <https://hdl.handle.net/10012/16378>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.11), MASS
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-09-27 16:05:38 UTC; qihua
Author: Qihuang Zhang [aut, cre, cph], Grace Y. Yi [aut, ths]
Maintainer: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2021-09-28 10:30:06 UTC

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New package statsearchanalyticsr with initial version 0.1.4
Package: statsearchanalyticsr
Title: An Interface for the 'STAT Search Analytics' 'API'
Version: 0.1.4
Description: Pull data from the 'STAT Search Analytics' API <https://help.getstat.com/knowledgebase/api-services/>. It was developed by the Search Discovery team to help analyze keyword ranking data.
License: MIT + file LICENSE
URL: https://searchdiscovery.github.io/statsearchanalyticsr/
BugReports: https://github.com/searchdiscovery/statsearchanalyticsr/issues
Encoding: UTF-8
Imports: glue, httr, jsonlite, purrr, tidyr, tibble, stringr, lubridate
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2021-09-27 13:05:42 UTC; ben.woodard
Author: Ben Woodard [aut, cre], Chima Umeakunne [ctb], Search Discovery, LLC [own] (Visit SearchDiscovery.com for more information)
Maintainer: Ben Woodard <ben.woodard@searchdiscovery.com>
Repository: CRAN
Date/Publication: 2021-09-28 10:20:02 UTC

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Package patientProfilesVis updated to version 2.0.2 with previous version 2.0.1 dated 2021-07-13

Title: Visualization of Patient Profiles
Description: Creation of patient profile visualizations for exploration, diagnostic or monitoring purposes during a clinical trial. These static visualizations display a patient-specific overview of the evolution during the trial time frame of parameters of interest (as laboratory, ECG, vital signs), presence of adverse events, exposure to a treatment; associated with metadata patient information, as demography, concomitant medication. The visualizations can be tailored for specific domain(s) or endpoint(s) of interest. Visualizations are exported into patient profile report(s) or can be embedded in custom report(s).
Author: Laure Cougnaud [aut, cre], Margaux Faes [rev] (tests), Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

Diff between patientProfilesVis versions 2.0.1 dated 2021-07-13 and 2.0.2 dated 2021-09-28

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 tests/testthat/test_timeAlignment.R                |   52 ++--------
 tests/testthat/test_timeTransformations.R          |   10 +-
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New package hwep with initial version 0.0.1
Package: hwep
Title: Hardy-Weinberg Equilibrium in Polyploids
Version: 0.0.1
Description: Inference concerning equilibrium and random mating in autopolyploids. Methods are available to test for equilibrium and random mating at any even ploidy level (>2) in the presence of double reduction at biallelic loci. For autopolyploid populations in equilibrium, methods are available to estimate the degree of double reduction. We also provide functions to calculate genotype frequencies at equilibrium, or after one or several rounds of random mating, given rates of double reduction. The main function is `hwefit()`. This material is based upon work supported by the National Science Foundation under Grant No. 2132247. The opinions, findings, and conclusions or recommendations expressed are those of the author and do not necessarily reflect the views of the National Science Foundation. For details of these methods, see Gerard (2021) <doi:10.1101/2021.09.24.461731>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown
Imports: future, doFuture, foreach, iterators, pracma, tensr, doRNG
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-27 15:04:10 UTC; dgerard
Author: David Gerard [aut, cre] (<https://orcid.org/0000-0001-9450-5023>), NSF DBI 2132247 [fnd] (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2132247)
Maintainer: David Gerard <gerard.1787@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-28 10:30:02 UTC

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Package FKF updated to version 0.2.1 with previous version 0.1.7 dated 2020-06-14

Title: Fast Kalman Filter
Description: This is a fast and flexible implementation of the Kalman filter and smoother, which can deal with NAs. It is entirely written in C and relies fully on linear algebra subroutines contained in BLAS and LAPACK. Due to the speed of the filter, the fitting of high-dimensional linear state space models to large datasets becomes possible. This package also contains a plot function for the visualization of the state vector and graphical diagnostics of the residuals.
Author: David Luethi [aut], Philipp Erb [aut], Simon Otziger [aut], Daniel McDonald [aut], Paul Smith [aut, cre] (<https://orcid.org/0000-0002-0034-3412>)
Maintainer: Paul Smith <paul@waternumbers.co.uk>

Diff between FKF versions 0.1.7 dated 2020-06-14 and 0.2.1 dated 2021-09-28

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Package ConsRankClass updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-18

Title: Classification and Clustering of Preference Rankings
Description: Tree-based classification and soft-clustering method for preference rankings, with tools for external validation of fuzzy clustering. It contains the recursive partitioning algorithm for preference rankings, non-parametric tree-based method for a matrix of preference rankings as a response variable. It contains also the distribution-free soft clustering method for preference rankings, namely the K-median cluster component analysis (CCA). The package depends on the 'ConsRank' R package. Options for validate the tree-based method are both test-set procedure and V-fold cross validation. The package contains the routines to compute the adjusted concordance index (a fuzzy version of the adjusted rand index) and the normalized degree of concordance (the corresponding fuzzy version of the rand index). Essential references: D'Ambrosio, A., Amodio, S., Iorio, C., Pandolfo, G., and Siciliano, R. (2021) <doi:10.1007/s00357-020-09367-0> D'Ambrosio, A., and Heiser, W.J. (2019) <doi:10.1007/s41237-018-0069-5>; D'Ambrosio, A., and Heiser W.J. (2016) <doi:10.1007/s11336-016-9505-1>; Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) <doi:10.1109/TFUZZ.2011.2179303>.
Author: Antonio D'Ambrosio [aut, cre]
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>

Diff between ConsRankClass versions 1.0.0 dated 2021-05-18 and 1.0.1 dated 2021-09-28

 DESCRIPTION  |    8 ++++----
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Package ConsRank updated to version 2.1.2 with previous version 2.1.1 dated 2021-03-10

Title: Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach
Description: Compute the median ranking according to the Kemeny's axiomatic approach. Rankings can or cannot contain ties, rankings can be both complete or incomplete. The package contains both branch-and-bound algorithms and heuristic solutions recently proposed. The searching space of the solution can either be restricted to the universe of the permutations or unrestricted to all possible ties. The package also provide some useful utilities for deal with preference rankings. This release declare as deprecated some functions that are still in the package for compatibility. Next release will not contains these functions. Please type '?ConsRank-deprecated' Essential references: Emond, E.J., and Mason, D.W. (2002) <doi:10.1002/mcda.313>; D'Ambrosio, A., Amodio, S., and Iorio, C. (2015) <doi:10.1285/i20705948v8n2p198>; Amodio, S., D'Ambrosio, A., and Siciliano R. (2016) <doi:10.1016/j.ejor.2015.08.048>; D'Ambrosio, A., Mazzeo, G., Iorio, C., and Siciliano, R. (2017) <doi:10.1016/j.cor.2017.01.017>.
Author: Antonio D'Ambrosio [aut, cre], Sonia Amodio [ctb], Giulio Mazzeo [ctb]
Maintainer: Antonio D'Ambrosio <antdambr@unina.it>

Diff between ConsRank versions 2.1.1 dated 2021-03-10 and 2.1.2 dated 2021-09-28

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New package bistablehistory with initial version 1.0.0
Package: bistablehistory
Title: Cumulative History Analysis for Bistable Perception Time Series
Version: 1.0.0
Description: Estimates cumulative history for time-series for continuously viewed bistable perceptual rivalry displays. Computes cumulative history via a homogeneous first order differential process. I.e., it assumes exponential growth/decay of the history as a function time and perceptually dominant state, Pastukhov & Braun (2011) <doi:10.1167/11.10.12>. Supports Gamma, log normal, and normal distribution families. Provides a method to compute history directly and example of using the computation on a custom Stan code.
License: GPL (>= 3)
URL: https://github.com/alexander-pastukhov/bistablehistory
BugReports: https://github.com/alexander-pastukhov/bistablehistory/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Biarch: true
Depends: R (>= 3.5.0), loo, rlang, rstantools (>= 2.1.1)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), dplyr, tibble, magrittr, glue, boot, future, purrr, tidyr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, ggplot2
NeedsCompilation: yes
Packaged: 2021-09-27 11:01:41 UTC; sasha
Author: Alexander Pastukhov [aut, cre] (<https://orcid.org/0000-0002-8738-8591>)
Maintainer: Alexander Pastukhov <pastukhov.alexander@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-28 10:20:08 UTC

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New package aspline with initial version 0.1.0
Package: aspline
Title: Spline Regression with Adaptive Knot Selection
Version: 0.1.0
Maintainer: Vivien Goepp <vivien.goepp@gmail.com>
Description: Perform one-dimensional spline regression with automatic knot selection. This package uses a penalized approach to select the most relevant knots. B-splines of any degree can be fitted. More details in Goepp et al. (2018), "Spline Regression with Automatic Knot Selection", <arXiv:1808.01770>.
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/goepp/aspline
BugReports: https://github.com/goepp/aspline/issues
Imports: magrittr, ggplot2, dplyr, tidyr, splines2, Rcpp, Matrix, mgcv, reshape2, pspline, rlang, pryr, fda
LinkingTo: Rcpp
Suggests: testthat, knitr, markdown, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-09-27 12:23:03 UTC; vivien
Author: Vivien Goepp [aut, cre] (<https://orcid.org/0000-0001-6961-4260>), Grégory Nuel [aut]
Repository: CRAN
Date/Publication: 2021-09-28 10:20:12 UTC

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Package TMB updated to version 1.7.22 with previous version 1.7.21 dated 2021-09-06

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

Diff between TMB versions 1.7.21 dated 2021-09-06 and 1.7.22 dated 2021-09-28

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Package SamplerCompare updated to version 1.3.1 with previous version 1.3.0 dated 2018-09-10

Title: A Framework for Comparing the Performance of MCMC Samplers
Description: A framework for running sets of MCMC samplers on sets of distributions with a variety of tuning parameters, along with plotting functions to visualize the results of those simulations.
Author: Madeleine Thompson, except dchud.f and dchdd.f, which were written by G. W. Stewart.
Maintainer: Madeleine Thompson <madeleineth@gmail.com>

Diff between SamplerCompare versions 1.3.0 dated 2018-09-10 and 1.3.1 dated 2021-09-28

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Package s2 updated to version 1.0.7 with previous version 1.0.6 dated 2021-06-17

Title: Spherical Geometry Operators Using the S2 Geometry Library
Description: Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.
Author: Dewey Dunnington [aut] (<https://orcid.org/0000-0002-9415-4582>), Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Ege Rubak [aut], Jeroen Ooms [ctb] (configure script), Google, Inc. [cph] (Original s2geometry.io source code)
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between s2 versions 1.0.6 dated 2021-06-17 and 1.0.7 dated 2021-09-28

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Package inTextSummaryTable updated to version 3.1.0 with previous version 3.0.1 dated 2021-07-13

Title: Creation of in-Text Summary Table
Description: Creation of tables of summary statistics or counts for clinical data (for 'TLFs'). These tables can be exported as in-text table (with the 'flextable' package) for a Clinical Study Report (Word format) or a 'topline' presentation (PowerPoint format), or as interactive table (with the 'DT' package) to an html document for clinical data review.
Author: Laure Cougnaud [aut, cre], Michela Pasetto [aut], Margaux Faes [rev] (tests), Open Analytics [cph]
Maintainer: Laure Cougnaud <laure.cougnaud@openanalytics.eu>

Diff between inTextSummaryTable versions 3.0.1 dated 2021-07-13 and 3.1.0 dated 2021-09-28

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New package DRDRtest with initial version 0.1
Package: DRDRtest
Title: A Nonparametric Doubly Robust Test for Continuous Treatment Effect
Version: 0.1
Description: Implement the statistical test proposed in Weng et al. (2021) to test whether the average treatment effect curve is constant and whether a discrete covariate is a significant effect modifier.
License: GPL (>= 3)
Encoding: UTF-8
Imports: KernSmooth, stats, SuperLearner
NeedsCompilation: no
Packaged: 2021-09-26 17:32:15 UTC; wgw
Author: Guangwei Weng [aut, cre]
Maintainer: Guangwei Weng <wengx076@umn.edu>
Repository: CRAN
Date/Publication: 2021-09-28 09:10:06 UTC

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New package multifamm with initial version 0.1.1
Package: multifamm
Title: Multivariate Functional Additive Mixed Models
Version: 0.1.1
Description: An implementation for multivariate functional additive mixed models (multiFAMM), see Volkmann et al. (2021, <arXiv:2103.06606>). It builds on developed methods for univariate sparse functional regression models and multivariate functional principal component analysis. This package contains the function to run a multiFAMM and some convenience functions useful when working with large models. An additional package on GitHub contains more convenience functions to reproduce the analyses of the corresponding paper (<https://github.com/alexvolkmann/multifammPaper>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: data.table, funData, MFPCA (>= 1.3-2), mgcv, sparseFLMM (> 0.3.0), stats, zoo
NeedsCompilation: no
Packaged: 2021-09-24 10:04:19 UTC; alex
Author: Alexander Volkmann [aut, cre]
Maintainer: Alexander Volkmann <alexandervolkmann8@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-28 09:00:02 UTC

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New package LARGB with initial version 0.1.0
Package: LARGB
Title: Leaf Area Determination from Visual Image
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: Measurements of leaf area are important in the studies of plant biological characteristics. High-throughput plant phenotyping using image analysis is the key area in the domain of plant phenotyping. For determining the leaf area, the RGB image is converted into the grayscale image by simply averaging the Red(R), Green (G) and Blue (B) pixel values. Grayscale image is then converted into a binary image using Otsu’s thresholding method Otsu, N. (1979) <doi:10.1109/TSMC.1979.4310076> to separate plant area from the background (image segmentation). The segmentation process was accomplished by selecting the pixels with values over the threshold value belonging to the plant region and other pixels to the background region. The resulting binary image consists of white and black pixels representing the plant and background regions, respectively. Finally, the number of pixels inside the plant region was counted and converted to square centimetres (cm2) using the reference object (any object whose actual area is known previously) to get the projected leaf area.
License: GPL-3
Encoding: UTF-8
Imports: imager, dplyr
NeedsCompilation: no
Packaged: 2021-09-24 08:16:10 UTC; Registrar
Author: Tanuj Misra [aut, cre], Alka Arora [aut], Sudeep Sudeep [aut], Shailendra Kumar [aut], Mrinmoy Ray [aut], Sudhir Kumar [aut], Pankaj Das [aut]
Repository: CRAN
Date/Publication: 2021-09-28 09:00:05 UTC

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Package EmpiricalCalibration updated to version 3.0.0 with previous version 2.1.0 dated 2021-03-04

Title: Routines for Performing Empirical Calibration of Observational Study Estimates
Description: Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls. For more details, see Schuemie et al. (2013) <doi:10.1002/sim.5925> and Schuemie et al. (2018) <doi:10.1073/pnas.1708282114>.
Author: Martijn Schuemie [aut, cre] (<https://orcid.org/0000-0002-0817-5361>), Marc Suchard [aut] (<https://orcid.org/0000-0001-9818-479X>)
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between EmpiricalCalibration versions 2.1.0 dated 2021-03-04 and 3.0.0 dated 2021-09-28

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Package term updated to version 0.3.3 with previous version 0.3.2 dated 2021-09-06

Title: Create, Manipulate and Query Parameter Terms
Description: Creates, manipulates, queries and repairs vectors of parameter terms. Parameter terms are the labels used to reference values in vectors, matrices and arrays. They represent the names in coefficient tables and the column names in 'mcmc' and 'mcmc.list' objects.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), Ayla Pearson [ctb] (<https://orcid.org/0000-0001-7388-1222>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package origami updated to version 1.0.5 with previous version 1.0.3 dated 2020-01-16

Title: Generalized Framework for Cross-Validation
Description: A general framework for the application of cross-validation schemes to particular functions. By allowing arbitrary lists of results, origami accommodates a range of cross-validation applications. This implementation was first described by Coyle and Hejazi (2018) <doi:10.21105/joss.00512>.
Author: Jeremy Coyle [aut, cre, cph] (<https://orcid.org/0000-0002-9874-6649>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Ivana Malenica [aut] (<https://orcid.org/0000-0002-7404-8088>), Rachael Phillips [aut] (<https://orcid.org/0000-0002-8474-591X>)
Maintainer: Jeremy Coyle <jeremyrcoyle@gmail.com>

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Package hereR updated to version 0.8.0 with previous version 0.7.1 dated 2021-07-21

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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New package EmiStatR with initial version 1.2.3.0
Package: EmiStatR
Title: Emissions and Statistics in R for Wastewater and Pollutants in Combined Sewer Systems
Version: 1.2.3.0
Date: 2021-09-14
Author: J.A. Torres-Matallana [aut, cre] K. Klepiszewski [aut, cre] U. Leopold [ctb] G. Schutz [ctb] G.B.M. Heuvelink [ctb]
Maintainer: J.A. Torres-Matallana <arturo.torres@list.lu>
Description: Provides a fast and parallelised calculator to estimate combined wastewater emissions. It supports the planning and design of urban drainage systems, without the requirement of extensive simulation tools. The 'EmiStatR' package implements modular R methods. This enables to add new functionalities through the R framework.
License: GPL (>= 3)
Depends: R (>= 2.10), methods
Imports: utils, grDevices, graphics, stats, xts, zoo, foreach, parallel, lattice, doParallel
NeedsCompilation: no
StagedInstall: yes
Packaged: 2021-09-22 08:02:59 UTC; torres_30400
Repository: CRAN
Date/Publication: 2021-09-28 07:30:06 UTC

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Package desc updated to version 1.4.0 with previous version 1.3.0 dated 2021-03-05

Title: Manipulate DESCRIPTION Files
Description: Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.
Author: Gábor Csárdi [aut, cre], Kirill Müller [aut], Jim Hester [aut], Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>)
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package ztable updated to version 0.2.3 with previous version 0.2.2 dated 2020-10-08

Title: Zebra-Striped Tables in LaTeX and HTML Formats
Description: Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between ztable versions 0.2.2 dated 2020-10-08 and 0.2.3 dated 2021-09-28

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Package tinytex updated to version 0.34 with previous version 0.33 dated 2021-08-05

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), RStudio, PBC [cph], Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Devon Ryan [ctb] (<https://orcid.org/0000-0002-8549-0971>), Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package mime updated to version 0.12 with previous version 0.11 dated 2021-06-23

Title: Map Filenames to MIME Types
Description: Guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jeffrey Horner [ctb], Beilei Bian [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between mime versions 0.11 dated 2021-06-23 and 0.12 dated 2021-09-28

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Package fda updated to version 5.4.0 with previous version 5.1.9 dated 2020-12-16

Title: Functional Data Analysis
Description: These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer and in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009). Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions are available by ftp from <https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.
Author: J. O. Ramsay <ramsay@psych.mcgill.ca> [aut,cre], Spencer Graves <spencer.graves@effectivedefense.org> [ctb], Giles Hooker <gjh27@cornell.edu> [ctb]
Maintainer: J. O. Ramsay <ramsay@psych.mcgill.ca>

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