Thu, 17 Mar 2022

Package policytree updated to version 1.2.0 with previous version 1.1.1 dated 2021-07-07

Title: Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
Description: Learn optimal policies via doubly robust empirical welfare maximization over trees. Given doubly robust reward estimates, this package finds a rule-based treatment prescription policy, where the policy takes the form of a shallow decision tree that is globally (or close to) optimal.
Author: Erik Sverdrup [aut, cre], Ayush Kanodia [aut], Zhengyuan Zhou [aut], Susan Athey [aut], Stefan Wager [aut]
Maintainer: Erik Sverdrup <erikcs@stanford.edu>

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Package Rfmtool updated to version 4.1.5 with previous version 4.1.4 dated 2021-07-27

Title: Fuzzy Measure Tools
Description: Various tools for handling fuzzy measures, calculating Shapley value and interaction index, Choquet and Sugeno integrals, as well as fitting fuzzy measures to empirical data are provided. Construction of fuzzy measures from empirical data is done by solving a linear programming problem by using 'lpsolve' package, whose source in C adapted to the R environment is included. The description of the basic theory of fuzzy measures is in the manual in the Doc folder in this package. Please refer to the following: [1] <https://personal-sites.deakin.edu.au/~gleb/fmtools.html> [2] G. Beliakov, H. Bustince, T. Calvo, 'A Practical Guide to Averaging', Springer, (2016, ISBN: 978-3-319-24753-3). [3] G. Beliakov, S. James, J-Z. Wu, 'Discrete Fuzzy Measures', Springer, (2020, ISBN: 978-3-030-15305-2).
Author: Gleb Beliakov [aut, cre], Quan Vu [ctb], Andrei Kelarev [ctb], Michel Berkelaar [ctb], Kjell Eikland [ctb], Samuel E. Buttrey [ctb], Stefan I. Larimore [ctb], Timothy A. Davis [ctb], John Gilbert [ctb], Esmond Ng [ctb], Peter Notebaert [ctb], Richard [...truncated...]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>

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Package hakaiApi updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-07

Title: Authenticated HTTP Request Client for the 'Hakai' API
Description: Initializes a class that obtains API credentials and provides a method to use those credentials to make GET requests to the 'Hakai' API server. Usage instructions are documented at <https://hakaiinstitute.github.io/hakai-api/>.
Author: Taylor Denouden [aut, cre], Brett Johnson [aut], Nate Rosenstock [ctb], Chris Davis [ctb]
Maintainer: Taylor Denouden <taylor.denouden@hakai.org>

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Package SPOT updated to version 2.8.2 with previous version 2.5.18 dated 2022-01-03

Title: Sequential Parameter Optimization Toolbox
Description: A set of tools for model-based optimization and tuning of algorithms (hyperparameter tuning respectively hyperparameter optimization). It includes surrogate models, optimizers, and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources.
Author: Thomas Bartz-Beielstein [aut, cre] , Martin Zaefferer [aut] , Frederik Rehbach [aut] , Margarita Rebolledo [ctb], Joerg Stork [ctb] , Christian Lasarczyk [ctb]
Maintainer: Thomas Bartz-Beielstein <tbb@bartzundbartz.de>

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Package MicroMoB updated to version 0.0.12 with previous version 0.0.11 dated 2022-03-08

Title: Discrete Time Simulation of Mosquito-Borne Pathogen Transmission
Description: Provides a framework based on S3 dispatch for constructing models of mosquito-borne pathogen transmission which are constructed from submodels of various components (i.e. immature and adult mosquitoes, human populations). A consistent mathematical expression for the distribution of bites on hosts means that different models (stochastic, deterministic, etc.) can be coherently incorporated and updated over a discrete time step.
Author: Sean L. Wu [aut, cre] , David L. Smith [aut] , Sophie Libkind [ctb]
Maintainer: Sean L. Wu <slwood89@gmail.com>

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Package gratia updated to version 0.7.2 with previous version 0.7.0 dated 2022-02-07

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] , Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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New package rhino with initial version 0.6.4
Package: rhino
Title: A Framework for Enterprise Shiny Applications
Version: 0.6.4
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
URL: https://appsilon.github.io/rhino/, https://github.com/Appsilon/rhino
BugReports: https://github.com/Appsilon/rhino/issues
License: LGPL-3
Encoding: UTF-8
VignetteBuilder: knitr
Imports: box, cli, fs, glue, lintr (>= 2.0.0), logger, purrr, renv, sass, shiny, styler, testthat (>= 3.0.0), utils, withr, yaml
Suggests: knitr, rmarkdown
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2022-03-17 13:15:43 UTC; kamil
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Tymoteusz Makowski [aut], Marek Rogala [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <kamil@appsilon.com>
Repository: CRAN
Date/Publication: 2022-03-17 20:30:02 UTC

More information about rhino at CRAN
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Package mrgsolve updated to version 1.0.2 with previous version 1.0.0 dated 2022-01-20

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

Diff between mrgsolve versions 1.0.0 dated 2022-01-20 and 1.0.2 dated 2022-03-17

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New package fixedincome with initial version 0.0.1
Package: fixedincome
Title: Fixed Income Models, Calculations, Data Structures and Instruments
Version: 0.0.1
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Description: Fixed income mathematics made easy. A rich set of functions that helps with calculations of interest rates and fixed income. It has objects that abstract interest rates, compounding factors, day count rules, forward rates and term structure of interest rates. Many interpolation methods and parametric curve models commonly used by practitioners are implemented.
URL: https://github.com/wilsonfreitas/R-fixedincome
BugReports: https://github.com/wilsonfreitas/R-fixedincome/issues
Imports: bizdays (>= 1.0.0), methods, graphics, stats, grDevices, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-03-17 09:01:09 UTC; wilso
Author: Wilson Freitas [aut, cre]
Maintainer: Wilson Freitas <wilson.freitas@gmail.com>
Repository: CRAN
Date/Publication: 2022-03-17 20:20:02 UTC

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Package bsamGP updated to version 1.2.4 with previous version 1.2.3 dated 2020-03-21

Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference using a spectral analysis of Gaussian process priors. Gaussian processes are represented with a Fourier series based on cosine basis functions. Currently the package includes parametric linear models, partial linear additive models with/without shape restrictions, generalized linear additive models with/without shape restrictions, and density estimation model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model is done using codes written in FORTRAN 90. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Author: Seongil Jo [aut, cre], Taeryon Choi [aut], Beomjo Park [aut, cre], Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjop@andrew.cmu.edu>

Diff between bsamGP versions 1.2.3 dated 2020-03-21 and 1.2.4 dated 2022-03-17

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Package rjstat updated to version 0.4.2 with previous version 0.4.1 dated 2020-03-22

Title: Handle 'JSON-stat' Format in R
Description: Handle 'JSON-stat' format (<https://json-stat.org>) in R. Not all features are supported, especially the extensive metadata features of 'JSON-stat'.
Author: Aaron Schumacher, Håkon Malmedal, Måns Magnusson
Maintainer: Aaron Schumacher <ajschumacher@gmail.com>

Diff between rjstat versions 0.4.1 dated 2020-03-22 and 0.4.2 dated 2022-03-17

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Package RDP updated to version 0.2.3 with previous version 0.2.0 dated 2021-10-14

Title: The Ramer-Douglas-Peucker Algorithm
Description: Pretty fast implementation of the Ramer-Douglas-Peucker algorithm for reducing the number of points on a 2D curve. Urs Ramer (1972), "An iterative procedure for the polygonal approximation of plane curves" <doi:10.1016/S0146-664X(72)80017-0>. David H. Douglas and Thomas K. Peucker (1973), "Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or its Caricature" <doi:10.3138/FM57-6770-U75U-7727>.
Author: Robert Dahl Jacobsen [aut, cre]
Maintainer: Robert Dahl Jacobsen <cran@dahl-jacobsen.dk>

Diff between RDP versions 0.2.0 dated 2021-10-14 and 0.2.3 dated 2022-03-17

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Package ocs4R updated to version 0.2-3 with previous version 0.2-2 dated 2021-11-01

Title: Interface to Open Collaboration Services (OCS) REST API
Description: Provides an Interface to Open Collaboration Services 'OCS' (<https://www.open-collaboration-services.org/>) REST API.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between ocs4R versions 0.2-2 dated 2021-11-01 and 0.2-3 dated 2022-03-17

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Package mrgsim.parallel updated to version 0.2.1 with previous version 0.2.0 dated 2022-01-30

Title: Simulate with 'mrgsolve' in Parallel
Description: Simulation from an 'mrgsolve' <https://cran.r-project.org/package=mrgsolve> model using a parallel backend. Input data sets are split (chunked) and simulated in parallel using mclapply() or future_lapply() <https://cran.r-project.org/package=future.apply>.
Author: Kyle Baron
Maintainer: Kyle Baron <kylebtwin@imap.cc>

Diff between mrgsim.parallel versions 0.2.0 dated 2022-01-30 and 0.2.1 dated 2022-03-17

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Package grf updated to version 2.1.0 with previous version 2.0.2 dated 2021-07-14

Title: Generalized Random Forests
Description: A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, survival regression and treatment effect estimation (optionally using instrumental variables), with support for missing values.
Author: Julie Tibshirani [aut, cre], Susan Athey [aut], Rina Friedberg [ctb], Vitor Hadad [ctb], David Hirshberg [ctb], Luke Miner [ctb], Erik Sverdrup [aut], Stefan Wager [aut], Marvin Wright [ctb]
Maintainer: Julie Tibshirani <jtibs@cs.stanford.edu>

Diff between grf versions 2.0.2 dated 2021-07-14 and 2.1.0 dated 2022-03-17

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Package SHT updated to version 0.1.6 with previous version 0.1.5 dated 2021-07-04

Title: Statistical Hypothesis Testing Toolbox
Description: We provide a collection of statistical hypothesis testing procedures ranging from classical to modern methods for non-trivial settings such as high-dimensional scenario. For the general treatment of statistical hypothesis testing, see the book by Lehmann and Romano (2005) <doi:10.1007/0-387-27605-X>.
Author: Kyoungjae Lee [aut], Lizhen Lin [aut], Kisung You [aut, cre]
Maintainer: Kisung You <kisungyou@outlook.com>

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Package Distance updated to version 1.0.5 with previous version 1.0.4 dated 2021-08-12

Title: Distance Sampling Detection Function and Abundance Estimation
Description: A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided. See Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on methods and <https://examples.distancesampling.org/> for example analyses.
Author: David Lawrence Miller
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Package SAEval updated to version 0.1.2 with previous version 0.1.1 dated 2022-02-18

Title: Small Area Estimation Evaluation
Description: Allows users to produce diagnostic procedures and graphic tools for the evaluation of Small Area estimators.
Author: Andrea Fasulo [aut, cre]
Maintainer: Andrea Fasulo <fasulo@istat.it>

Diff between SAEval versions 0.1.1 dated 2022-02-18 and 0.1.2 dated 2022-03-17

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Package seriation updated to version 1.3.4 with previous version 1.3.3 dated 2022-03-07

Title: Infrastructure for Ordering Objects Using Seriation
Description: Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT). Hahsler et al (2008) <doi:10.18637/jss.v025.i03>.
Author: Michael Hahsler [aut, cre, cph], Christian Buchta [aut, cph], Kurt Hornik [aut, cph], Fionn Murtagh [ctb, cph], Michael Brusco [ctb, cph], Stephanie Stahl [ctb, cph], Hans-Friedrich Koehn [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between seriation versions 1.3.3 dated 2022-03-07 and 1.3.4 dated 2022-03-17

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Package spNNGP updated to version 0.1.7 with previous version 0.1.6 dated 2021-09-20

Title: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes
Description: Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2020) <arXiv:2001.09111>, and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924> and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya@msu.edu>

Diff between spNNGP versions 0.1.6 dated 2021-09-20 and 0.1.7 dated 2022-03-17

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Package robmed updated to version 0.10.1 with previous version 0.10.0 dated 2022-02-21

Title: (Robust) Mediation Analysis
Description: Perform mediation analysis via a (fast and robust) bootstrap test.
Author: Andreas Alfons [aut, cre] , Nufer Y. Ates [ctb]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

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Package quickcheck updated to version 0.1.2 with previous version 0.1.1 dated 2022-03-10

Title: Property Based Testing
Description: Property based testing, inspired by the original 'QuickCheck'. This package builds on the property based testing framework provided by 'hedgehog' and is designed to seamlessly integrate with 'testthat'.
Author: Andrew McNeil [aut, cre]
Maintainer: Andrew McNeil <andrew.richard.mcneil@gmail.com>

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Package nflreadr updated to version 1.2.0 with previous version 1.1.3 dated 2022-01-27

Title: Download 'nflverse' Data
Description: A minimal package for downloading data from 'GitHub' repositories of the 'nflverse' project.
Author: Tan Ho [aut, cre, cph] , Sebastian Carl [aut], John Edwards [ctb], Ben Baldwin [ctb], Thomas Mock [ctb], Lee Sharpe [ctb]
Maintainer: Tan Ho <tan@tanho.ca>

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Package mrds updated to version 2.2.6 with previous version 2.2.5 dated 2021-07-01

Title: Mark-Recapture Distance Sampling
Description: Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Author: Jeff Laake <jeff.laake@noaa.gov>, David Borchers <dlb@st-and.ac.uk>, Len Thomas <len.thomas@st-and.ac.uk>, David Miller <dave@ninepointeightone.net> and Jon Bishop
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Package dsims updated to version 0.2.1 with previous version 0.2.0 dated 2021-09-01

Title: Distance Sampling Simulations
Description: Performs distance sampling simulations. 'dsims' repeatedly generates instances of a user defined population within a given survey region. It then generates realisations of a survey design and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This process allows users to optimise survey designs for their specific set of survey conditions. The effects of uncertainty in population distribution or parameters can be investigated under a number of simulations so that users can be confident that they have achieved a robust survey design before deploying vessels into the field. The distance sampling designs used in this package from 'dssd' are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). General distance sampling methods are detailed in Introduction to Distance Sampling: Estimating Abundance of Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.
Author: Laura Marshall <lhm@st-and.ac.uk>
Maintainer: Laura Marshall <lhm@st-and.ac.uk>

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Package DNAtools updated to version 0.2-4 with previous version 0.2-3 dated 2020-07-07

Title: Tools for Analysing Forensic Genetic DNA Data
Description: Computationally efficient tools for comparing all pairs of profiles in a DNA database. The expectation and covariance of the summary statistic is implemented for fast computing. Routines for estimating proportions of close related individuals are available. The use of wildcards (also called F- designation) is implemented. Dedicated functions ease plotting the results. See Tvedebrink et al. (2012) <doi:10.1016/j.fsigen.2011.08.001>. Compute the distribution of the numbers of alleles in DNA mixtures. See Tvedebrink (2013) <doi:10.1016/j.fsigss.2013.10.142>.
Author: Torben Tvedebrink [aut], James Curran [aut], Mikkel Meyer Andersen [aut, cre]
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package CAST updated to version 0.6.0 with previous version 0.5.1 dated 2021-04-07

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. To decrease spatial overfitting and to improve model performances, the package implements a forward feature selection that selects suitable predictor variables in view to their contribution to spatial or spatial-temporal model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>.
Author: Hanna Meyer [cre, aut], Marvin Ludwig [aut], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

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Package spc updated to version 0.6.6 with previous version 0.6.5 dated 2021-03-02

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

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Package profoc updated to version 0.9.2 with previous version 0.9.1 dated 2022-02-25

Title: Probabilistic Forecast Combination Using CRPS Learning
Description: Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <arXiv:2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <arXiv:1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.
Author: Jonathan Berrisch [cre] , Florian Ziel [aut]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>

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Package CEOdata updated to version 1.0.2 with previous version 0.2 dated 2022-02-28

Title: Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion Polls in Catalonia
Description: Easy and convenient access to the datasets / microdata of the "Centre d'Estudis d'Opinió", the Catalan institution for polling and public opinion. The package uses the data stored in the servers of the CEO and returns it in a tidy format (tibble).
Author: Xavier Fernández-i-Marín [aut, cre]
Maintainer: Xavier Fernández-i-Marín <xavier.fim@gmail.com>

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Package RcppThread updated to version 2.1.3 with previous version 2.1.2 dated 2022-03-11

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between RcppThread versions 2.1.2 dated 2022-03-11 and 2.1.3 dated 2022-03-17

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Package RcppCGAL updated to version 5.4 with previous version 5.3.1.1 dated 2022-01-08

Title: Rcpp Integration for CGAL
Description: Creates a header only package to link to the CGAL (Computational Geometry Algorithms Library) header files in Rcpp. There are a variety of potential uses for the software such as Hilbert sorting, KDtree nearest neighbors, and convex hull algorithms. There is only one R function in this package, which returns the current version of the CGAL library included. For more information about how to use the header files, see the CGAL documentation at <https://www.cgal.org>. Currently includes the CGAL 5.4 stable release.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

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Package parsnip updated to version 0.2.1 with previous version 0.2.0 dated 2022-03-09

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], RStudio [cph, fnd]
Maintainer: Max Kuhn <max@rstudio.com>

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Package IGoRRR updated to version 0.3.2 with previous version 0.3.1 dated 2022-03-08

Title: A Shiny Interface for Simple Data Management
Description: Launches a shiny application generating code to view tables in several ways, import/export tables, modify tables, make some basic graphics. 'IGoR' is a graphic user interface designed to help beginners using simple functions around table management and exploration. Inspired by 'Rcmdr', 'IGoR' is a code generator that, with simple inputs under a Shiny application, provides R code mainly built around the 'tidyverse' or some packages in the direct line of the Mosaic project: the 'rio' and 'ggformula' packages. The generated code doesn't depend on IGoR and can be manually modified by the user or copied elsewhere.
Author: Jean-Luc Lipatz [aut, cre], Bernard Gestin [ctb]
Maintainer: Jean-Luc Lipatz <jllipatz@protonmail.com>

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Package gmp updated to version 0.6-5 with previous version 0.6-4 dated 2022-02-24

Title: Multiple Precision Arithmetic
Description: Multiple Precision Arithmetic (big integers and rationals, prime number tests, matrix computation), "arithmetic without limitations" using the C library GMP (GNU Multiple Precision Arithmetic).
Author: Antoine Lucas, Immanuel Scholz, Rainer Boehme <rb-gmp@reflex-studio.de>, Sylvain Jasson <Sylvain.Jasson@inrae.fr>, Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Antoine Lucas <antoinelucas@gmail.com>

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Package git2rdata updated to version 0.4.0 with previous version 0.3.1 dated 2021-01-21

Title: Store and Retrieve Data.frames in a Git Repository
Description: The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion or mercurial. 3) git2rdata is a useful tool in a reproducible and traceable workflow. vignette("workflow", package = "git2rdata") gives a toy example. 4) vignette("efficiency", package = "git2rdata") provides some insight into the efficiency of file storage, git repository size and speed for writing and reading.
Author: Thierry Onkelinx [aut, cre] , Floris Vanderhaeghe [ctb] , Peter Desmet [ctb] , Els Lommelen [ctb] , Research Institute for Nature and Forest [cph, fnd]
Maintainer: Thierry Onkelinx <thierry.onkelinx@inbo.be>

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Package approxOT updated to version 1.0.2 with previous version 1.0.1 dated 2022-01-14

Title: Approximate and Exact Optimal Transport Methods
Description: R and C++ functions to perform exact and approximate optimal transport. All C++ methods are linkable to other R packages via their header files.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

Diff between approxOT versions 1.0.1 dated 2022-01-14 and 1.0.2 dated 2022-03-17

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Package LMMstar updated to version 0.5.4 with previous version 0.5.2 dated 2022-03-06

Title: Repeated Measurement Models for Discrete Times
Description: Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers" taught by the section of Biostatistics of the University of Copenhagen. It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, unstructured, ...). Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite degrees of freedom. Normalized residuals are provided to assess model misspecification. Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients. Predictions can be computed conditional to covariates only or also to outcome values.
Author: Brice Ozenne [aut, cre] , Julie Forman [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

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New package wdnr.gis with initial version 0.1.3
Package: wdnr.gis
Title: Pull Spatial Layers from 'WDNR ArcGIS REST API'
Version: 0.1.3
Maintainer: Paul Frater <paul.frater@wisconsin.gov>
License: GPL-3
Encoding: UTF-8
LazyData: true
Description: Functions for finding and pulling data from the 'Wisconsin Department of Natural Resources ArcGIS REST APIs' <https://dnrmaps.wi.gov/arcgis/rest/services> and <https://dnrmaps.wi.gov/arcgis2/rest/services>.
Depends: R (>= 3.6.0), arcpullr, sf
Imports: httr, jsonlite, dplyr, ggplot2, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-16 14:35:45 UTC; fratepnd
Author: Paul Frater [aut, cre] , Zac Driscoll [aut]
Repository: CRAN
Date/Publication: 2022-03-17 08:40:02 UTC

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New package sftime with initial version 0.2-0
Package: sftime
Title: Classes and Methods for Simple Feature Objects that Have a Time Column
Description: Classes and methods for spatial objects that have a registered time column, in particular for irregular spatiotemporal data. The time column can be of any type, but needs to be ordinal. Regularly laid out spatiotemporal data (vector or raster data cubes) are handled by package 'stars'.
Version: 0.2-0
Depends: sf (>= 1.0.7)
Imports: methods
Suggests: knitr, spacetime, rmarkdown, dplyr (>= 0.8-3), trajectories (>= 0.2.2), stars, ncmeta, tidyr, ggplot2, magrittr, sp, rlang
License: Apache License
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-16 18:31:04 UTC; henni
Author: Henning Teickner [aut, cre, cph] , Edzer Pebesma [aut, cph] , Benedikt Graeler [aut, cph]
Maintainer: Henning Teickner <henning.teickner@uni-muenster.de>
Repository: CRAN
Date/Publication: 2022-03-17 08:50:01 UTC

More information about sftime at CRAN
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New package SEset with initial version 1.0.1
Package: SEset
Title: Computing Statistically-Equivalent Path Models
Version: 1.0.1
Author: Oisín Ryan
Maintainer: Oisín Ryan <o.ryan@uu.nl>
Description: Tools to compute and analyze the set of statistically-equivalent (Gaussian, linear) path models which generate the input precision or (partial) correlation matrix. This procedure is useful for understanding how statistical network models such as the Gaussian Graphical Model (GGM) perform as causal discovery tools. The statistical-equivalence set of a given GGM expresses the uncertainty we have about the sign, size and direction of directed relationships based on the weights matrix of the GGM alone. The derivation of the equivalence set and its use for understanding GGMs as causal discovery tools is described by Ryan, O., Bringmann, L.F., & Schuurman, N.K. (2022) <doi: 10.31234/osf.io/ryg69>.
BugReports: https://github.com/ryanoisin/SEset
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: combinat, Matrix, Rdpack, stats
RdMacros: Rdpack
Suggests: qgraph
NeedsCompilation: no
Packaged: 2022-03-16 16:34:50 UTC; ryano
Repository: CRAN
Date/Publication: 2022-03-17 08:50:08 UTC

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New package RNAseqQC with initial version 0.1.0
Package: RNAseqQC
Title: Quality Control for RNA-Seq Data
Version: 0.1.0
Description: Functions for semi-automated quality control of bulk RNA-seq data.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: AnnotationHub, AnnotationFilter, ensembldb, circlize, DESeq2, SummarizedExperiment, vsn, ComplexHeatmap, matrixStats, grid, ggpointdensity, ggrepel, gghighlight, ggplot2, cowplot, purrr, dplyr, stringr, tidyr, tibble, RColorBrewer, tidyselect, magrittr
Suggests: rmarkdown, knitr, ggsci, recount3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-16 12:50:32 UTC; fxz40010
Author: Frederik Ziebell [aut, cre] , GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Frederik Ziebell <frederik.x.ziebell@gsk.com>
Repository: CRAN
Date/Publication: 2022-03-17 08:30:15 UTC

More information about RNAseqQC at CRAN
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Package Rcpp updated to version 1.0.8.3 with previous version 1.0.8.2 dated 2022-03-11

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Inaki Ucar, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package parsel with initial version 0.1.1
Package: parsel
Title: Parallelized Dynamic Web-Scraping Using 'RSelenium'
Version: 0.1.1
Description: A system to increase the efficiency of dynamic web-scraping with 'RSelenium' by leveraging parallel processing. You provide a function wrapper for your 'RSelenium' scraping routine with a set of inputs, and 'parsel' runs it in several browser instances. Chunked input processing as well as error catching and logging ensures seamless execution and minimal data loss, even when unforeseen 'RSelenium' errors occur.
License: MIT + file LICENSE
URL: https://github.com/till-tietz/parsel
BugReports: https://github.com/till-tietz/parsel/issues
Encoding: UTF-8
Imports: parallel (>= 3.6.2), RSelenium, lubridate (>= 1.7.9), utils (>= 2.10.1), methods (>= 3.3.1), purrr (>= 0.3.4)
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), covr (>= 3.5.1)
NeedsCompilation: no
Packaged: 2022-03-16 10:25:53 UTC; ttiet
Author: Till Tietz [cre, aut]
Maintainer: Till Tietz <ttietz2014@gmail.com>
Repository: CRAN
Date/Publication: 2022-03-17 08:20:02 UTC

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Package GMAC updated to version 3.1 with previous version 3.0 dated 2017-12-15

Title: Genomic Mediation Analysis with Adaptive Confounding Adjustment
Description: Performs genomic mediation analysis with adaptive confounding adjustment (GMAC) proposed by Yang et al. (2017) <doi:10.1101/078683>. It implements large scale mediation analysis and adaptively selects potential confounding variables to adjust for each mediation test from a pool of candidate confounders. The package is tailored for but not limited to genomic mediation analysis (e.g., cis-gene mediating trans-gene regulation pattern where an eQTL, its cis-linking gene transcript, and its trans-gene transcript play the roles as treatment, mediator and the outcome, respectively), restricting to scenarios with the presence of cis-association (i.e., treatment-mediator association) and random eQTL (i.e., treatment).
Author: Fan Yang, Jiebiao Wang and Lin Chen
Maintainer: Jiebiao Wang <randel.wang@gmail.com>

Diff between GMAC versions 3.0 dated 2017-12-15 and 3.1 dated 2022-03-17

 DESCRIPTION       |   12 ++++++------
 MD5               |    8 ++++----
 R/GMAC.R          |    2 +-
 build/partial.rdb |binary
 man/gmac.Rd       |   28 +++++++++++++++++++---------
 5 files changed, 30 insertions(+), 20 deletions(-)

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New package ggmice with initial version 0.0.1
Package: ggmice
Title: Visualizations for 'mice' with 'ggplot2'
Version: 0.0.1
Description: Enhance a 'mice' imputation workflow with visualizations for incomplete and/or imputed data. The plotting functions produce 'ggplot' objects which may be easily manipulated or extended. Use 'ggmice' to inspect missing data, develop imputation models, evaluate algorithmic convergence, or compare observed versus imputed data.
License: GPL (>= 3)
URL: https://github.com/amices/ggmice, https://amices.org/, https://amices.org/ggmice/
BugReports: https://github.com/amices/ggmice
Imports: dplyr, ggplot2, magrittr, mice, purrr, rlang, stats, stringr, tidyr, utils
Suggests: covr, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Copyright: person("ggmice authors", role = "cph"), person("Utrecht University", role = "fnd"), person("University Medical Centre Utrecht", role = "fnd")
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-03-16 18:35:13 UTC; 4216318
Author: Hanne Oberman [aut, cre]
Maintainer: Hanne Oberman <h.i.oberman@uu.nl>
Repository: CRAN
Date/Publication: 2022-03-17 08:50:05 UTC

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Package dsm updated to version 2.3.2 with previous version 2.3.1 dated 2021-03-26

Title: Density Surface Modelling of Distance Sampling Data
Description: Density surface modelling of line transect data. A Generalized Additive Model-based approach is used to calculate spatially-explicit estimates of animal abundance from distance sampling (also presence/absence and strip transect) data. Several utility functions are provided for model checking, plotting and variance estimation.
Author: David L. Miller, Eric Rexstad, Louise Burt, Mark V. Bravington, Sharon Hedley, Megan Ferguson, Natalie Kelly.
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

Diff between dsm versions 2.3.1 dated 2021-03-26 and 2.3.2 dated 2022-03-17

 dsm-2.3.1/dsm/man/matrixnotposdef.handler.Rd   |only
 dsm-2.3.2/dsm/DESCRIPTION                      |   10 
 dsm-2.3.2/dsm/MD5                              |  157 ++++++------
 dsm-2.3.2/dsm/NEWS                             |  317 ++++++++++++++-----------
 dsm-2.3.2/dsm/R/block.info.per.su.R            |   18 -
 dsm-2.3.2/dsm/R/check.cols.R                   |   22 -
 dsm-2.3.2/dsm/R/dsm-package.R                  |  112 ++++++--
 dsm-2.3.2/dsm/R/dsm.R                          |  148 ++++++++---
 dsm-2.3.2/dsm/R/dsm.cor.R                      |   63 +++-
 dsm-2.3.2/dsm/R/dsm.var.gam.R                  |   43 +--
 dsm-2.3.2/dsm/R/dsm.var.movblk.R               |   28 +-
 dsm-2.3.2/dsm/R/dsm.var.prop.R                 |   83 ++++--
 dsm-2.3.2/dsm/R/dsm_varprop.R                  |  118 +++++----
 dsm-2.3.2/dsm/R/dummy_ddf.R                    |   16 -
 dsm-2.3.2/dsm/R/generate.ds.uncertainty.R      |   16 -
 dsm-2.3.2/dsm/R/generate.mb.sample.R           |    7 
 dsm-2.3.2/dsm/R/get_hessian.R                  |    2 
 dsm-2.3.2/dsm/R/latlong2km.R                   |    6 
 dsm-2.3.2/dsm/R/make.data.R                    |    3 
 dsm-2.3.2/dsm/R/make.soapgrid.R                |   40 +--
 dsm-2.3.2/dsm/R/matrixnotposdef.handler.R      |   25 +
 dsm-2.3.2/dsm/R/obs_exp.R                      |   21 +
 dsm-2.3.2/dsm/R/plot.dsm.R                     |   12 
 dsm-2.3.2/dsm/R/plot.dsm.var.R                 |   54 ++--
 dsm-2.3.2/dsm/R/plot_pred_by_term.R            |   24 +
 dsm-2.3.2/dsm/R/predict.dsm.R                  |   36 +-
 dsm-2.3.2/dsm/R/print.dsm.R                    |    7 
 dsm-2.3.2/dsm/R/print.dsm.var.R                |    9 
 dsm-2.3.2/dsm/R/print.dsm_varprop.R            |    7 
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 dsm-2.3.2/dsm/R/print.summary.dsm_varprop.R    |   10 
 dsm-2.3.2/dsm/R/rqgam.check.R                  |   51 +---
 dsm-2.3.2/dsm/R/summary.dsm.R                  |    8 
 dsm-2.3.2/dsm/R/summary.dsm.var.R              |   18 -
 dsm-2.3.2/dsm/R/summary.dsm_varprop.R          |   12 
 dsm-2.3.2/dsm/R/trim.var.R                     |   14 -
 dsm-2.3.2/dsm/R/varprop_check.R                |    2 
 dsm-2.3.2/dsm/R/vis.concurvity.R               |   23 +
 dsm-2.3.2/dsm/R/zzz.R                          |    6 
 dsm-2.3.2/dsm/README.md                        |    2 
 dsm-2.3.2/dsm/man/block.info.per.su.Rd         |   18 -
 dsm-2.3.2/dsm/man/check.cols.Rd                |    5 
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 dsm-2.3.2/dsm/man/dsm-package.Rd               |   23 +
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 dsm-2.3.2/dsm/man/dsm.cor.Rd                   |   47 ++-
 dsm-2.3.2/dsm/man/dsm.var.gam.Rd               |   46 ++-
 dsm-2.3.2/dsm/man/dsm.var.movblk.Rd            |   36 +-
 dsm-2.3.2/dsm/man/dsm.var.prop.Rd              |  101 +++++--
 dsm-2.3.2/dsm/man/dsm_varprop.Rd               |   95 +++++--
 dsm-2.3.2/dsm/man/dummy_ddf.Rd                 |    6 
 dsm-2.3.2/dsm/man/generate.ds.uncertainty.Rd   |   11 
 dsm-2.3.2/dsm/man/generate.mb.sample.Rd        |    5 
 dsm-2.3.2/dsm/man/latlong2km.Rd                |    6 
 dsm-2.3.2/dsm/man/make.soapgrid.Rd             |   15 -
 dsm-2.3.2/dsm/man/mexdolphins.Rd               |   18 +
 dsm-2.3.2/dsm/man/obs_exp.Rd                   |   19 +
 dsm-2.3.2/dsm/man/plot.dsm.Rd                  |    8 
 dsm-2.3.2/dsm/man/plot.dsm.var.Rd              |   42 +--
 dsm-2.3.2/dsm/man/plot_pred_by_term.Rd         |   14 -
 dsm-2.3.2/dsm/man/predict.dsm.Rd               |   35 +-
 dsm-2.3.2/dsm/man/predict.fake_ddf.Rd          |    8 
 dsm-2.3.2/dsm/man/print.dsm.Rd                 |    8 
 dsm-2.3.2/dsm/man/print.dsm.var.Rd             |    6 
 dsm-2.3.2/dsm/man/print.dsm_varprop.Rd         |    3 
 dsm-2.3.2/dsm/man/print.summary.dsm.var.Rd     |    3 
 dsm-2.3.2/dsm/man/print.summary.dsm_varprop.Rd |    3 
 dsm-2.3.2/dsm/man/rqgam.check.Rd               |   22 +
 dsm-2.3.2/dsm/man/summary.dsm.Rd               |    8 
 dsm-2.3.2/dsm/man/summary.dsm.var.Rd           |   14 -
 dsm-2.3.2/dsm/man/summary.dsm_varprop.Rd       |   10 
 dsm-2.3.2/dsm/man/trim.var.Rd                  |   12 
 dsm-2.3.2/dsm/man/vis.concurvity.Rd            |   13 -
 dsm-2.3.2/dsm/tests/testthat.R                 |    8 
 dsm-2.3.2/dsm/tests/testthat/test_glm.R        |    5 
 dsm-2.3.2/dsm/tests/testthat/test_input.R      |    7 
 dsm-2.3.2/dsm/tests/testthat/test_mex.R        |    6 
 dsm-2.3.2/dsm/tests/testthat/test_movblk.R     |    5 
 dsm-2.3.2/dsm/tests/testthat/test_predict.R    |    6 
 dsm-2.3.2/dsm/tests/testthat/test_vargam.R     |    6 
 80 files changed, 1543 insertions(+), 956 deletions(-)

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New package dQTG.seq with initial version 1.0
Package: dQTG.seq
Title: A BSA Software for Detecting All Types of QTLs in BC, DH, RIL and F2
Version: 1.0
Maintainer: Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>
Contact: Yuan-Ming Zhang <soyzhang@mail.hzau.edu.cn>
Description: The new (dQTG.seq1 and dQTG.seq2) and existing (SmoothLOD, G', deltaSNP and ED) bulked segregant analysis methods are used to identify various types of quantitative trait loci for complex traits via extreme phenotype individuals in bi-parental segregation populations (F2, backcross, doubled haploid and recombinant inbred line). The numbers of marker alleles in extreme low and high pools are used in existing methods to identify trait-related genes, while the numbers of marker alleles and genotypes in extreme low and high pools are used in the new methods to construct a new statistic Gw for identifying trait-related genes. dQTG-seq2 is feasible to identify extremely over-dominant and small-effect genes in F2.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Imports: BB, data.table, doParallel, openxlsx, qtl, stringr, writexl, parallel,foreach
Encoding: UTF-8
LazyData: true
Packaged: 2022-03-16 13:37:17 UTC; Administrator
NeedsCompilation: no
Author: Pei Li [aut], Yuan-Ming Zhang [aut, cre]
Repository: CRAN
Date/Publication: 2022-03-17 08:40:05 UTC

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New package coda4microbiome with initial version 0.1.0
Package: coda4microbiome
Title: Compositional Data Analysis for Microbiome Studies
Version: 0.1.0
Description: Functions for microbiome data analysis that take into account its compositional nature. Performs variable selection through penalized regression for both, cross-sectional and longitudinal studies, and for binary and continuous outcomes.
License: MIT + file LICENSE
URL: https://malucalle.github.io/coda4microbiome/
BugReports: https://github.com/malucalle/coda4microbiome/issues
Encoding: UTF-8
LazyData: false
Imports: corrplot, glmnet, plyr, pROC, ggpubr, ggplot2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-16 19:58:50 UTC; Toni
Author: Malu Calle [aut] , Toni Susin [aut, cre]
Maintainer: Toni Susin <toni.susin@upc.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-03-17 09:00:02 UTC

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Package bayesGAM updated to version 0.0.2 with previous version 0.0.1 dated 2020-11-18

Title: Fit Multivariate Response Generalized Additive Models using Hamiltonian Monte Carlo
Description: The 'bayesGAM' package is designed to provide a user friendly option to fit univariate and multivariate response Generalized Additive Models (GAM) using Hamiltonian Monte Carlo (HMC) with few technical burdens. The functions in this package use 'rstan' (Stan Development Team 2020) to call 'Stan' routines that run the HMC simulations. The 'Stan' code for these models is already pre-compiled for the user. The programming formulation for models in 'bayesGAM' is designed to be familiar to analysts who fit statistical models in 'R'. Carpenter, B., Gelman, A., Hoffman, M. D., Lee, D., Goodrich, B., Betancourt, M., ... & Riddell, A. (2017). Stan: A probabilistic programming language. Journal of statistical software, 76(1). Stan Development Team. 2018. RStan: the R interface to Stan. R package version 2.17.3. <https://mc-stan.org/> Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418. Betancourt, Michael, and Mark Girolami. "Hamiltonian Monte Carlo for hierarchical models." Current trends in Bayesian methodology with applications 79.30 (2015): 2-4. Thomas, S., Tu, W. (2020) "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>, Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174. Ruppert, D., Wand, M. P., & Carroll, R. J. (2003). Semiparametric regression (No. 12). Cambridge university press. ISBN: 978-0521785167.
Author: Samuel Thomas [cre, aut], Wanzhu Tu [ctb], Trustees of Columbia University [cph]
Maintainer: Samuel Thomas <samthoma@alumni.iu.edu>

Diff between bayesGAM versions 0.0.1 dated 2020-11-18 and 0.0.2 dated 2022-03-17

 DESCRIPTION                            |   12 
 MD5                                    |  109 
 NAMESPACE                              |  205 -
 NEWS.md                                |only
 R/AllClasses.R                         |  392 +-
 R/AllMethods.R                         | 6428 ++++++++++++++++-----------------
 R/bayesGAM-package.R                   |   30 
 R/data.r                               |   94 
 R/imports.R                            |   20 
 R/plotting.R                           |  720 +--
 R/rstanMethods.R                       |  139 
 R/semipar_formula.R                    |  754 +--
 R/stanmodels.R                         |   56 
 R/tps.R                                |  338 -
 R/utils.R                              |  776 +--
 README.md                              |   20 
 configure.win                          |    8 
 inst/stan/glmm_continuous.stan         |  514 +-
 inst/stan/glmm_discrete.stan           |  720 +--
 inst/stan/include/license.stan         |   28 
 inst/stan/multresponse_continuous.stan |  746 +--
 inst/stan/multresponse_discrete.stan   |  872 ++--
 man/L.Rd                               |   72 
 man/bayesGAM-package.Rd                |   24 
 man/bayesGAM.Rd                        |  188 
 man/bayesGAMfit.Rd                     |   66 
 man/bloodpressure.Rd                   |   74 
 man/coefficients.Rd                    |   92 
 man/create_bivariate_design.Rd         |   70 
 man/extract_log_lik_bgam.Rd            |   76 
 man/fitted.Rd                          |   52 
 man/getDesign.Rd                       |   66 
 man/getModelSlots.Rd                   |  110 
 man/getSamples.Rd                      |   88 
 man/getStanResults.Rd                  |   54 
 man/loo_bgam.Rd                        |  160 
 man/loo_compare_bgam.Rd                |   82 
 man/mcmc_plots.Rd                      |  592 +--
 man/mvcorrplot.Rd                      |   80 
 man/normal.Rd                          |   50 
 man/np.Rd                              |   92 
 man/plot.Rd                            |   84 
 man/posterior_predict.Rd               |   78 
 man/ppc_plots.Rd                       |  228 -
 man/predict.Rd                         |   76 
 man/reef.Rd                            |   72 
 man/showPrior.Rd                       |   72 
 man/st.Rd                              |   50 
 man/summary.Rd                         |   54 
 man/waic_bgam.Rd                       |  108 
 src/Makevars                           |    4 
 src/Makevars.win                       |    4 
 src/RcppExports.cpp                    |    5 
 tests/testthat.R                       |   10 
 tests/testthat/test_allstan.R          |  122 
 tests/testthat/test_hmc.R              |  302 -
 56 files changed, 8158 insertions(+), 8180 deletions(-)

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Package movecost (with last version 1.5) was removed from CRAN

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

2022-02-23 1.5
2021-09-12 1.4
2021-08-05 1.3
2021-07-07 1.2
2021-06-19 1.1
2021-06-09 1.0
2021-05-31 0.9
2021-05-21 0.8
2021-04-30 0.7
2021-04-03 0.6
2020-06-05 0.5
2020-05-09 0.4
2019-11-29 0.3
2019-06-28 0.2
2018-07-22 0.1

Permanent link
Package scModels (with last version 1.0.2) was removed from CRAN

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

2021-02-26 1.0.2
2019-09-02 1.0.1

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