Thu, 08 Sep 2022

Package scatterplot3d updated to version 0.3-42 with previous version 0.3-41 dated 2018-03-14

Title: 3D Scatter Plot
Description: Plots a three dimensional (3D) point cloud.
Author: Uwe Ligges <ligges@statistik.tu-dortmund.de>, Martin Maechler, Sarah Schnackenberg
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

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Package basemaps updated to version 0.0.4 with previous version 0.0.1 dated 2021-05-19

Title: Accessing Spatial Basemaps in R
Description: A lightweight package to access spatial basemaps from open sources such as 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.
Author: Jakob Schwalb-Willmann [aut, cre]
Maintainer: Jakob Schwalb-Willmann <dev@schwalb-willmann.de>

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Package tidyquant updated to version 1.0.5 with previous version 1.0.4 dated 2022-05-20

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

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Package Rfssa updated to version 2.1.0 with previous version 2.0.1 dated 2022-01-09

Title: Functional Singular Spectrum Analysis
Description: Methods and tools for implementing functional singular spectrum analysis and related techniques.
Author: Hossein Haghbin [aut, cre] , Jordan Trinka [aut], Seyed Morteza Najibi [aut], Mehdi Maadooliat [aut]
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>

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Package radiant.data updated to version 1.4.5 with previous version 1.4.4 dated 2022-07-19

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package pak updated to version 0.3.1 with previous version 0.3.0 dated 2022-04-11

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package L2E updated to version 2.0 with previous version 1.0 dated 2022-01-07

Title: Robust Structured Regression via the L2 Criterion
Description: An implementation of a computational framework for performing robust structured regression with the L2 criterion from Chi and Chi (2021+). Improvements using the majorization-minimization (MM) principle from Liu, Chi, and Lange (2022+) added in Version 2.0.
Author: Xiaoqian Liu [aut, ctb], Jocelyn Chi [aut, cre], Lisa Lin [ctb], Kenneth Lange [aut], Eric Chi [aut]
Maintainer: Jocelyn Chi <jocetchi@gmail.com>

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Package httk updated to version 2.2.0 with previous version 2.1.0 dated 2022-03-25

Title: High-Throughput Toxicokinetics
Description: Pre-made models that can be rapidly tailored to various chemicals and species using chemical-specific in vitro data and physiological information. These tools allow incorporation of chemical toxicokinetics ("TK") and in vitro-in vivo extrapolation ("IVIVE") into bioinformatics, as described by Pearce et al. (2017) (<doi:10.18637/jss.v079.i04>). Chemical-specific in vitro data characterizing toxicokinetics can be been obtained from relatively high-throughput experiments. The chemical-independent ("generic") physiologically-based ("PBTK") and empirical (for example, one compartment) "TK" models included here can be parameterized with in vitro data or in silico predictions which are provided for thousands of chemicals, multiple exposure routes, and various species. The models are systems of ordinary differential equations that are solved using compiled (C-based) code for speed. A Monte Carlo sampler is included for simulating human biological variability (Ring et al., 2017 <doi:1 [...truncated...]
Author: John Wambaugh [aut, cre] , Sarah Davidson [aut] , Robert Pearce [aut] , Caroline Ring [aut] , Greg Honda [aut] , Mark Sfeir [aut], Matt Linakis [aut] , Dustin Kapraun [aut] , Miyuki Breen [ctb] , Shannon Bell [ctb] , Xiaoqing Chang [ctb] , Todor Anto [...truncated...]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>

Diff between httk versions 2.1.0 dated 2022-03-25 and 2.2.0 dated 2022-09-08

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Package EDIutils updated to version 1.0.2 with previous version 1.0.1 dated 2022-06-28

Title: An API Client for the Environmental Data Initiative Repository
Description: A client for the Environmental Data Initiative repository REST API. The 'EDI' data repository <https://portal.edirepository.org/nis/home.jsp> is for publication and reuse of ecological data with emphasis on metadata accuracy and completeness. It is built upon the 'PASTA+' software stack <https://pastaplus-core.readthedocs.io/en/latest/index.html#> and was developed in collaboration with the US 'LTER' Network <https://lternet.edu/>. 'EDIutils' includes functions to search and access existing data, evaluate and upload new data, and assist other data management tasks common to repository users.
Author: Colin Smith [aut, cre] , Corinna Gries [ctb] , Jasmine Lai [rev] , Rodrigo Pires [rev]
Maintainer: Colin Smith <colin.smith@wisc.edu>

Diff between EDIutils versions 1.0.1 dated 2022-06-28 and 1.0.2 dated 2022-09-08

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 tests/testthat.R                                                    |    8 
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 tests/testthat/test_utilities.R                                     |  206 +-
 vignettes/evaluate_and_upload.Rmd                                   |  418 ++--
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 vignettes/tests_requiring_authentication.Rmd                        |  182 +-
 324 files changed, 19617 insertions(+), 18633 deletions(-)

More information about EDIutils at CRAN
Permanent link

Package DHARMa updated to version 0.4.6 with previous version 0.4.5 dated 2022-01-16

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] , Lukas Lohse [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

Diff between DHARMa versions 0.4.5 dated 2022-01-16 and 0.4.6 dated 2022-09-08

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More information about DHARMa at CRAN
Permanent link

Package gmgm updated to version 1.1.2 with previous version 1.1.1 dated 2022-05-27

Title: Gaussian Mixture Graphical Model Learning and Inference
Description: Gaussian mixture graphical models include Bayesian networks and dynamic Bayesian networks (their temporal extension) whose local probability distributions are described by Gaussian mixture models. They are powerful tools for graphically and quantitatively representing nonlinear dependencies between continuous variables. This package provides a complete framework to create, manipulate, learn the structure and the parameters, and perform inference in these models. Most of the algorithms are described in the PhD thesis of Roos (2018) <https://tel.archives-ouvertes.fr/tel-01943718>.
Author: Jeremy Roos [aut, cre, cph], RATP Group [fnd, cph]
Maintainer: Jeremy Roos <jeremy.roos@gmail.com>

Diff between gmgm versions 1.1.1 dated 2022-05-27 and 1.1.2 dated 2022-09-08

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More information about gmgm at CRAN
Permanent link

Package httpuv updated to version 1.6.6 with previous version 1.6.5 dated 2022-01-04

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], RStudio, PBC [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between httpuv versions 1.6.5 dated 2022-01-04 and 1.6.6 dated 2022-09-08

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More information about httpuv at CRAN
Permanent link

Package funtimes updated to version 9.0 with previous version 8.2 dated 2022-02-22

Title: Functions for Time Series Analysis
Description: Nonparametric estimators and tests for time series analysis. The functions use bootstrap techniques and robust nonparametric difference-based estimators to test for the presence of possibly non-monotonic trends and for synchronicity of trends in multiple time series.
Author: Vyacheslav Lyubchich [aut, cre] , Yulia R. Gel [aut], Alexander Brenning [ctb], Calvin Chu [ctb], Xin Huang [ctb], Umar Islambekov [ctb], Palina Niamkova [ctb], Dorcas Ofori-Boateng [ctb], Ethan D. Schaeffer [ctb], Srishti Vishwakarma [aut], Xingyu W [...truncated...]
Maintainer: Vyacheslav Lyubchich <lyubchich@umces.edu>

Diff between funtimes versions 8.2 dated 2022-02-22 and 9.0 dated 2022-09-08

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Package lares updated to version 5.1.4 with previous version 5.1.3 dated 2022-08-26

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package markets updated to version 1.1.2 with previous version 1.1.0 dated 2022-07-11

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
Author: Pantelis Karapanagiotis [aut, cre]
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

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Package emmeans updated to version 1.8.1-1 with previous version 1.8.0 dated 2022-08-05

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package ichimoku updated to version 1.4.0 with previous version 1.3.4 dated 2022-08-23

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package cem updated to version 1.1.31 with previous version 1.1.30 dated 2022-08-05

Title: Coarsened Exact Matching
Description: Implementation of the Coarsened Exact Matching algorithm discussed along with its properties in Iacus, King, Porro (2011) <DOI:10.1198/jasa.2011.tm09599>; Iacus, King, Porro (2012) <DOI:10.1093/pan/mpr013> and Iacus, King, Porro (2019) <DOI:10.1017/pan.2018.29>.
Author: Stefano M. Iacus [aut, cre], Gary King [aut], Giuseppe Porro [aut], Richard Nielsen [aut]
Maintainer: Stefano M. Iacus <siacus@iq.harvard.edu>

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Package lactater updated to version 0.1.1 with previous version 0.1.0 dated 2021-12-03

Title: Tools for Analyzing Lactate Thresholds
Description: Set of tools for analyzing lactate thresholds from a step incremental test to exhaustion. Easily analyze the methods Log-log, Onset of Blood Lactate Accumulation (OBLA), Baseline plus (Bsln+), Dmax, Lactate Turning Point (LTP), and Lactate / Intensity ratio (LTratio) in cycling, running, or swimming. Beaver WL, Wasserman K, Whipp BJ (1985) <doi:10.1152/jappl.1985.59.6.1936>. Heck H, Mader A, Hess G, MĆ¼cke S, MĆ¼ller R, Hollmann W (1985) <doi:10.1055/s-2008-1025824>. Kindermann W, Simon G, Keul J (1979) <doi:10.1007/BF00421101>. Skinner JS, Mclellan TH (1980) <doi:10.1080/02701367.1980.10609285>. Berg A, Jakob E, Lehmann M, Dickhuth HH, Huber G, Keul J (1990) <PMID:2408033>. Zoladz JA, Rademaker AC, Sargeant AJ (1995) <doi:10.1113/jphysiol.1995.sp020959>. Cheng B, Kuipers H, Snyder A, Keizer H, Jeukendrup A, Hesselink M (1992) <doi:10.1055/s-2007-1021309>. Bishop D, Jenkins DG, Mackinnon LT (1998) <doi:10.1097/00005768-199808000-00014>. Hug [...truncated...]
Author: Felipe Mattioni Maturana [aut, cre]
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

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Package pGPx updated to version 0.1.2 with previous version 0.1.1 dated 2018-08-20

Title: Pseudo-Realizations for Gaussian Process Excursions
Description: Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) <doi:10.1137/141000749>. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (<http://cs.brown.edu/people/pfelzens/dt/index.html>).
Author: Dario Azzimonti [aut, cre, cph] , Julien Bect [ctb], Pedro Felzenszwalb [ctb, cph]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package lfl updated to version 2.2.0 with previous version 2.1.2 dated 2021-08-23

Title: Linguistic Fuzzy Logic
Description: Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package greta updated to version 0.4.3 with previous version 0.4.2 dated 2022-03-22

Title: Simple and Scalable Statistical Modelling in R
Description: Write statistical models in R and fit them by MCMC and optimisation on CPUs and GPUs, using Google 'TensorFlow'. greta lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and itā€™s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the greta forum.
Author: Nick Golding [aut] , Nicholas Tierney [aut, cre] , Simon Dirmeier [ctb], Adam Fleischhacker [ctb], Shirin Glander [ctb], Martin Ingram [ctb], Lee Hazel [ctb], Lionel Hertzog [ctb], Tiphaine Martin [ctb], Matt Mulvahill [ctb], Michael Quinn [ctb], Dav [...truncated...]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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Package text2sdg updated to version 0.1.6 with previous version 0.1.5 dated 2022-08-30

Title: Detecting UN Sustainable Development Goals in Text
Description: The United Nationsā€™ Sustainable Development Goals (SDGs) have become an important guideline for organisations to monitor and plan their contributions to social, economic, and environmental transformations. The 'text2sdg' package is an open-source analysis package that identifies SDGs in text using scientifically developed query systems, opening up the opportunity to monitor any type of text-based data, such as scientific output or corporate publications. For more information regarding the methodology see Meier, Mata & Wulff (2022) <arXiv:2110.05856>.
Author: Dirk U. Wulff [aut] , Dominik S. Meier [aut, cre] , Rui Mata [ctb]
Maintainer: Dominik S. Meier <dominikmeier@outlook.com>

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Package statnet.common updated to version 4.7.0 with previous version 4.6.0 dated 2022-05-02

Title: Common R Scripts and Utilities Used by the Statnet Project Software
Description: Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Author: Pavel N. Krivitsky [aut, cre] , Skye Bender-deMoll [ctb], Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package robsurvey updated to version 0.4 with previous version 0.3 dated 2022-06-10

Title: Robust Survey Statistics Estimation
Description: Robust (outlier-resistant) estimators of finite population characteristics like of means, totals, ratios, regression, etc. Available methods are M- and GM-estimators of regression, weight reduction, trimming, and winsorization. The package extends the 'survey' <https://CRAN.R-project.org/package=survey> package.
Author: Beat Hulliger [aut], Tobias Schoch [aut, cre] , Martin Sterchi [ctr, com]
Maintainer: Tobias Schoch <tobias.schoch@fhnw.ch>

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New package mglasso with initial version 0.1.2
Package: mglasso
Title: Multiscale Graphical Lasso
Version: 0.1.2
Description: Inference of Multiscale graphical models with neighborhood selection approach. The method is based on solving a convex optimization problem combining a Lasso and fused-group Lasso penalties. This allows to infer simultaneously a conditional independence graph and a clustering partition. The optimization is based on the Continuation with Nesterov smoothing in a Shrinkage-Thresholding Algorithm solver (Hadj-Selem et al. 2018) <doi:10.1109/TMI.2018.2829802> implemented in python.
License: MIT + file LICENSE
Imports: corpcor, ggplot2, ggrepel, gridExtra, Matrix, methods, R.utils, reticulate (>= 1.25), rstudioapi
Suggests: knitr, mvtnorm, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
ByteCompile: true
Config/reticulate: list( packages = list( list(package = "scipy", version = "1.7.1"), list(package = "numpy", version = "1.22.4"), list(package = "matplotlib"), list(package = "scikit-learn"), list(package = "six"), list(package = "pylearn-parsimony", version = "0.3.1", pip = TRUE) ) )
Encoding: UTF-8
URL: https://desanou.github.io/mglasso/
NeedsCompilation: no
Packaged: 2022-09-05 22:06:02 UTC; doedm
Author: Edmond Sanou [aut, cre], Tung Le [ctb], Christophe Ambroise [ths], Genevieve Robin [ths]
Maintainer: Edmond Sanou <doedmond.sanou@univ-evry.fr>
Repository: CRAN
Date/Publication: 2022-09-08 13:12:55 UTC

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Package scpi updated to version 1.0.0 with previous version 0.2.1 dated 2022-03-25

Title: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Description: Implementation of estimation and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://cattaneo.princeton.edu/papers/Cattaneo-Feng-Titiunik_2021_JASA.pdf>.
Author: Matias Cattaneo [aut], Yingjie Feng [aut], Filippo Palomba [aut, cre], Rocio Titiunik [aut]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>

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Package libr updated to version 1.2.8 with previous version 1.2.5 dated 2022-08-08

Title: Libraries, Data Dictionaries, and a Data Step for R
Description: Contains a set of functions to create data libraries, generate data dictionaries, and simulate a data step. The libname() function will load a directory of data into a library in one line of code. The dictionary() function will generate data dictionaries for individual data frames or an entire library. And the datestep() function will perform row-by-row data processing.
Author: David J. Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

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Package BHMSMAfMRI updated to version 2.0 with previous version 1.3 dated 2019-05-16

Title: Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data
Description: Package BHMSMAfMRI performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041>, or other multiscale data, using wavelet based prior that borrows strength across subjects and provides posterior smoothed images of the effect sizes and samples from the posterior distribution.
Author: Nilotpal Sanyal [aut, cre], Marco A.R. Ferreira [aut]
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>

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Package anMC updated to version 0.2.3 with previous version 0.2.2 dated 2019-10-25

Title: Compute High Dimensional Orthant Probabilities
Description: Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.
Author: Dario Azzimonti [aut, cre, cph]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package winfapReader updated to version 0.1-5 with previous version 0.1-3 dated 2021-02-19

Title: Interact with Peak Flow Data in the United Kingdom
Description: Obtain information on peak flow data from the National River Flow Archive (NRFA) in the United Kingdom, either from the Peak Flow Dataset files <https://nrfa.ceh.ac.uk/peak-flow-dataset> once these have been downloaded to the user's computer or using the NRFA's API. These files are in a format suitable for direct use in the 'WINFAP' software, hence the name of the package.
Author: Ilaria Prosdocimi [aut, cre] , Luke Shaw [aut]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

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Package tabula updated to version 1.8.0 with previous version 1.7.0 dated 2022-06-23

Title: Analysis and Visualization of Archaeological Count Data
Description: An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). The package make it easy to visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [ctb] , Matthew Peeples [ctb] , Ben Marwick [ctb] , Anne Philippe [ctb] , Jean-Baptiste Fourvel [ctb]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package spant updated to version 2.2.0 with previous version 2.1.0 dated 2022-07-21

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

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Package sarsop updated to version 0.6.10 with previous version 0.6.9 dated 2021-08-04

Title: Approximate POMDP Planning Software
Description: A toolkit for Partially Observed Markov Decision Processes (POMDP). Provides bindings to C++ libraries implementing the algorithm SARSOP (Successive Approximations of the Reachable Space under Optimal Policies) and described in Kurniawati et al (2008), <doi:10.15607/RSS.2008.IV.009>. This package also provides a high-level interface for generating, solving and simulating POMDP problems and their solutions.
Author: Carl Boettiger [cre, aut, cph] , Jeroen Ooms [aut], Milad Memarzadeh [aut], Hanna Kurniawati [ctb, cph], David Hsu [ctb, cph], Hanna Kurniawati [ctb, cph], Wee Sun Lee [ctb, cph], Yanzhu Du [ctb], Xan Huang [ctb], Trey Smith [ctb, cph], Tony Cassandr [...truncated...]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between sarsop versions 0.6.9 dated 2021-08-04 and 0.6.10 dated 2022-09-08

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Package rstan updated to version 2.21.7 with previous version 2.21.5 dated 2022-04-11

Title: R Interface to Stan
Description: User-facing R functions are provided to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via 'variational' approximation, and (optionally penalized) maximum likelihood estimation via optimization. In all three cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Jonah Gabry [aut], Ben Goodrich [cre, aut], Sebastian Weber [aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Modrak Martin [ctb], Trustees of Columbia University [cph], Oleg Sklyar [cph] , The R Core Team [cph] , Jens Oehlschlaeg [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

Diff between rstan versions 2.21.5 dated 2022-04-11 and 2.21.7 dated 2022-09-08

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Package pkgdepends updated to version 0.3.2 with previous version 0.3.1 dated 2022-04-08

Title: Package Dependency Resolution and Downloads
Description: Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain a consistent set of packages to install. Download packages, and install them. It supports packages on 'CRAN', 'Bioconductor' and other 'CRAN-like' repositories, 'GitHub', package 'URLs', and local package trees and files. It caches metadata and package files via the 'pkgcache' package, and performs all 'HTTP' requests, downloads, builds and installations in parallel. 'pkgdepends' is the workhorse of the 'pak' package.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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New package protti with initial version 0.4.0
Package: protti
Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Version: 0.4.0
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rlang, dplyr, stringr, magrittr, data.table, janitor, progress, purrr, tidyr, ggplot2, forcats, tibble, plotly, ggrepel, utils, grDevices, curl, readr, lifecycle, httr, methods, R.utils, stats
Suggests: testthat, covr, knitr, rmarkdown, shiny, r3dmol, proDA, limma, dendextend, pheatmap, heatmaply, furrr, future, parallel, seriation, drc, igraph, stringi, STRINGdb, iq
Depends: R (>= 4.0)
URL: https://github.com/jpquast/protti, https://jpquast.github.io/protti/
BugReports: https://github.com/jpquast/protti/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-02 12:18:12 UTC; jan-philippquast
Author: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>
Repository: CRAN
Date/Publication: 2022-09-08 11:00:18 UTC

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Package oppr updated to version 1.0.4 with previous version 1.0.3 dated 2021-05-11

Title: Optimal Project Prioritization
Description: A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phylogenetic diversity, the number of features that meet persistence targets, or identifying a set of projects that meet persistence targets for minimal cost. Constraints (e.g. lock in specific actions) and feature weights can also be specified to further customize prioritizations. After defining a project prioritization problem, solutions can be obtained using exact algorithms, heuristic algorithms, or random processes. In particular, it is recommended to install the 'Gurobi' optimizer (available from <https://www.gurobi.com>) because it can identify optimal solutions very quickly. Finally, methods are provided for comparing different prioritizations and evaluating their benefits. For more information, see Hanson et al. (2019) <doi:10.1111/2041-210X.13264>.
Author: Jeffrey O Hanson [aut, cre] , Richard Schuster [aut] , Matthew Strimas-Mackey [aut] , Joseph R Bennett [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>

Diff between oppr versions 1.0.3 dated 2021-05-11 and 1.0.4 dated 2022-09-08

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Package meteoland updated to version 1.0.3 with previous version 1.0.2 dated 2022-01-05

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Caceres [aut, cre] , Nicolas Martin [aut] , Victor Granda [aut] , Antoine Cabon [aut]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

Diff between meteoland versions 1.0.2 dated 2022-01-05 and 1.0.3 dated 2022-09-08

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Package JuliaCall updated to version 0.17.5 with previous version 0.17.4 dated 2021-05-16

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

Diff between JuliaCall versions 0.17.4 dated 2021-05-16 and 0.17.5 dated 2022-09-08

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Package gh updated to version 1.3.1 with previous version 1.3.0 dated 2021-04-30

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gabor Csardi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between gh versions 1.3.0 dated 2021-04-30 and 1.3.1 dated 2022-09-08

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Package devRate updated to version 0.2.3 with previous version 0.2.2 dated 2022-06-29

Title: Quantify the Relationship Between Development Rate and Temperature in Ectotherms
Description: A set of functions to quantify the relationship between development rate and temperature and to build phenological models. The package comprises a set of models and estimated parameters borrowed from a literature review in ectotherms. The methods and literature review are described in Rebaudo et al. (2018) <doi:10.1111/2041-210X.12935>, Rebaudo and Rabhi (2018) <doi:10.1111/eea.12693>, and Regnier et al. (2021) <doi:10.1093/ee/nvab115>. An example can be found in Rebaudo et al. (2017) <doi:10.1007/s13355-017-0480-5>.
Author: Francois Rebaudo [aut, cre] , Baptiste Regnier [aut] , Camila Benavides [ctb] , Tanusson Selvarajah [ctb] , Nicolas Bonnal [ctb] , Badre Rabhi [ctb] , Quentin Struelens [ctb]
Maintainer: Francois Rebaudo <francois.rebaudo@ird.fr>

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Package ambient updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-15

Title: A Generator of Multidimensional Noise
Description: Generation of natural looking noise has many application within simulation, procedural generation, and art, to name a few. The 'ambient' package provides an interface to the 'FastNoise' C++ library and allows for efficient generation of perlin, simplex, worley, cubic, value, and white noise with optional perturbation in either 2, 3, or 4 (in case of simplex and white noise) dimensions.
Author: Thomas Lin Pedersen [cre, aut] , Jordan Peck [aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between ambient versions 1.0.1 dated 2022-08-15 and 1.0.2 dated 2022-09-08

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Package zip updated to version 2.2.1 with previous version 2.2.0 dated 2021-05-31

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gabor Csardi, Kuba Podgorski, Rich Geldreich
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between zip versions 2.2.0 dated 2021-05-31 and 2.2.1 dated 2022-09-08

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Package webfakes updated to version 1.1.4 with previous version 1.1.3 dated 2021-04-30

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the <https://httpbin.org> web service.
Author: Gabor Csardi [aut, cre], RStudio, Pbc. [cph], Civetweb contributors [ctb] , Redoc contributors [ctb] , L. Peter Deutsch [ctb] , Martin Purschke [ctb] , Aladdin Enterprises [cph] , Maelle Salmon [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package WaveletANN updated to version 0.1.2 with previous version 0.1.0 dated 2019-03-17

Title: Wavelet ANN Model
Description: The wavelet and ANN technique have been combined to reduce the effect of data noise. This wavelet-ANN conjunction model is able to forecast time series data with better accuracy than the traditional time series model. This package fits hybrid Wavelet ANN model for time series forecasting using algorithm by Anjoy and Paul (2017) <DOI: 10.1007/s00521-017-3289-9>.
Author: Dr. Ranjit Kumar Paul [aut, cre], Dr. Md Yeasin [aut]
Maintainer: Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>

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Package rnrfa updated to version 2.1.0 with previous version 2.0.6 dated 2022-08-09

Title: UK National River Flow Archive Data from R
Description: Utility functions to retrieve data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions: <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>). The package contains R wrappers to the UK NRFA data temporary-API. There are functions to retrieve stations falling in a bounding box, to generate a map and extracting time series and general information. The package is fully described in Vitolo et al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive" <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.
Author: Ilaria Prosdocimi [ctb, cre] , Claudia Vitolo [aut] , Matthew Fry [ctb] , Wouter Buytaert [ctb] , Michael Spencer [ctb] , Tobias Gauster [ctb]
Maintainer: Ilaria Prosdocimi <prosdocimi.ilaria@gmail.com>

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Package mapiso updated to version 0.2.0 with previous version 0.1.2 dated 2022-07-07

Title: Create Contour Polygons from Regular Grids
Description: Regularly spaced grids containing continuous data are transformed to contour polygons. A grid can be defined by a data.frame (x, y, value), an 'sf' object or a raster from 'terra'.
Author: Timothee Giraud [cre, aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package gitcreds updated to version 0.1.2 with previous version 0.1.1 dated 2020-12-04

Title: Query 'git' Credentials from 'R'
Description: Query, set, delete credentials from the 'git' credential store. Manage 'GitHub' tokens and other 'git' credentials. This package is to be used by other packages that need to authenticate to 'GitHub' and/or other 'git' repositories.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package gganimate updated to version 1.0.8 with previous version 1.0.7 dated 2020-10-15

Title: A Grammar of Animated Graphics
Description: The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.
Author: Thomas Lin Pedersen [aut, cre] , David Robinson [aut], RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between gganimate versions 1.0.7 dated 2020-10-15 and 1.0.8 dated 2022-09-08

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Package desc updated to version 1.4.2 with previous version 1.4.1 dated 2022-03-06

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: Gabor Csardi [aut, cre], Kirill Mueller [aut], Jim Hester [aut], Maelle Salmon [ctb] , RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package truncnormbayes (with last version 0.0.1) was removed from CRAN

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

2022-08-22 0.0.1

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New package WormTensor with initial version 0.1.0
Package: WormTensor
Title: A Clustering Method for Time-Series Whole-Brain Activity Data of 'C. elegans'
Version: 0.1.0
Maintainer: Kentaro Yamamoto <yamaken37.the.answer@gmail.com>
Description: A toolkit to detect clusters from distance matrices. The distance matrices are assumed to be calculated between the cells of multiple animals ('Caenorhabditis elegans') from input time-series matrices. Some functions for generating distance matrices, performing clustering, evaluating the clustering, and visualizing the results of clustering and evaluation are available. We're also providing the download function to retrieve the calculated distance matrices from 'figshare' <https://figshare.com>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/rikenbit/WormTensor
BugReports: https://github.com/rikenbit/WormTensor/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
Imports: rTensor, usedist, dtwclust, clusterSim, clValid, aricode, cluster, ggplot2, Rtsne, uwot, factoextra, ggrepel, cowplot, methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-08 05:19:16 UTC; rstudio
Author: Kentaro Yamamoto [aut, cre], Koki Tsuyuzaki [aut], Itoshi Nikaido [aut]
Repository: CRAN
Date/Publication: 2022-09-08 09:22:58 UTC

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New package seqimpute with initial version 1.7
Package: seqimpute
Title: Imputation of Missing Data in Sequence Analysis
Version: 1.7
Date: 2022-09-06
Description: Multiple imputation of missing data present in a dataset through the prediction based on either a random forest or a multinomial regression model. Covariates and time-dependant covariates can be included in the model. The prediction of the missing values is based on the method of Halpin (2012) <https://ulir.ul.ie/handle/10344/3639>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Amelia, rms, stringr, TraMineR, cluster, swfscMisc, plyr, dplyr, dfidx, mice, foreach, parallel, doRNG, doSNOW, ranger, mlr, nnet
Author: Andre Berchtold [aut, cre], Anthony Guinchard [aut], Kevin Emery [aut], Kamyar Taher [aut]
Maintainer: Andre Berchtold <andre.berchtold@unil.ch>
Repository: CRAN
Repository/R-Forge/Project: seqimpute
Repository/R-Forge/Revision: 92
Repository/R-Forge/DateTimeStamp: 2022-09-06 06:53:41
Date/Publication: 2022-09-08 09:00:02 UTC
NeedsCompilation: no
Packaged: 2022-09-06 07:12:07 UTC; rforge
Depends: R (>= 3.5.0)

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Package QTLEMM updated to version 1.1.2 with previous version 1.1.0 dated 2021-10-13

Title: QTL Mapping and Hotspots Detection
Description: For QTL mapping, it consists of several functions to perform various tasks, including simulating or analyzing data, computing the significance thresholds and visualizing the QTL mapping results. The single-QTL or multiple-QTL method that allows a host of statistical models to be fitted and compared is applied to analyze the data for the estimation of QTL parameters. The models include the linear regression, permutation test, normal mixture model and truncated normal mixture model. The Gaussian stochastic process is implemented to compute the significance thresholds for QTL detection onto a genetic linkage map in the experimental populations. Two types of data, the complete genotyping or selective genotyping data, from various experimental populations, including backcross, F2, recombinant inbred (RI) populations, advanced intercrossed (AI) populations, are considered in the QTL mapping analysis. For QTL hotpot detection, the statistical methods can be developed based on either using the [...truncated...]
Author: Ping-Yuan Chung [cre], Chen-Hung Kao [aut]
Maintainer: Ping-Yuan Chung <pychung@webmail.stat.sinica.edu.tw>

Diff between QTLEMM versions 1.1.0 dated 2021-10-13 and 1.1.2 dated 2022-09-08

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Package pkgcache updated to version 2.0.2 with previous version 2.0.1 dated 2022-02-18

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package oskeyring updated to version 0.1.4 with previous version 0.1.3 dated 2022-03-11

Title: Raw System Credential Store Access from R
Description: Aims to support all features of the system credential store, including non-portable ones. Supports 'Keychain' on 'macOS', and 'Credential Manager' on 'Windows'. See the 'keyring' package if you need a portable 'API'.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between oskeyring versions 0.1.3 dated 2022-03-11 and 0.1.4 dated 2022-09-08

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New package OneArmTTE with initial version 1.0
Package: OneArmTTE
Title: One-Arm Clinical Trial Designs for Time-to-Event Endpoint
Version: 1.0
Maintainer: Heng Zhou <heng.zhou@merck.com>
Description: Get operating characteristics of one-arm clinical trial designs for time-to-event endpoint through simulation and perform analysis with time-to-event data.
Imports: tibble, dplyr, tidyr, survival
Depends: R (>= 3.6)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-09-08 02:52:23 UTC; zhouheng
Author: Heng Zhou [aut, cre], Keaven Anderson [aut], Linda Sun [aut], Meihua Wang [aut]
Repository: CRAN
Date/Publication: 2022-09-08 09:23:01 UTC

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New package mmpca with initial version 2.0.2
Package: mmpca
Title: Integrative Analysis of Several Related Data Matrices
Version: 2.0.2
Description: A generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus et al. (2019) <arXiv:1911.04927>.
Depends: R (>= 3.3.0)
Imports: digest (>= 0.6.0), Rcpp (>= 1.0.8)
LinkingTo: Rcpp, RcppEigen, RcppGSL
SystemRequirements: C++11
Biarch: true
NeedsCompilation: yes
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/cyianor/mmpca
BugReports: https://github.com/cyianor/mmpca/issues
Packaged: 2022-09-08 06:40:35 UTC; hefelix
Author: Jonatan Kallus [aut], Felix Held [ctb, cre]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-08 09:20:02 UTC

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Package iml updated to version 0.11.1 with previous version 0.11.0 dated 2022-05-12

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, accumulated local effects plots described by Apley (2018) <arXiv:1612.08468>, partial dependence plots described by Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Christoph Molnar [aut, cre], Patrick Schratz [aut]
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>

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Package BiodiversityR updated to version 2.14-4 with previous version 2.14-3 dated 2022-08-06

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

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New package AmoudSurv with initial version 0.1.0
Package: AmoudSurv
Title: Tractable Parametric Odds-Based Regression Models
Version: 0.1.0
Maintainer: Abdisalam Hassan Muse <abdisalam.h.muse@gmail.com>
Description: Fits tractable fully parametric odds-based regression models for survival data, including proportional odds (PO), accelerated failure time (AFT), accelerated odds (AO), and General Odds (GO) models in overall survival frameworks. Given at least an R function specifying the survivor, hazard rate and cumulative distribution functions, any user-defined parametric distribution can be fitted. We applied and evaluated a minimum of seventeen (17) various baseline distributions that can handle different failure rate shapes for each of the four different proposed odds-based regression models. For more information see Bennet et al., (1983) <doi:10.1002/sim.4780020223>, and Muse et al., (2022) <doi:10.1016/j.aej.2022.01.033>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: AHSurv, flexsurv, pracma, stats, stats4
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-09-07 22:05:23 UTC; Admin
Author: Abdisalam Hassan Muse [aut, cre] , Samuel Mwalili [aut, ctb], Oscar Ngesa [aut, ctb], Christophe Chesneau [aut, ctb]
Repository: CRAN
Date/Publication: 2022-09-08 09:12:56 UTC

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Package ggVennDiagram updated to version 1.2.2 with previous version 1.2.0 dated 2021-10-22

Title: A 'ggplot2' Implement of Venn Diagram
Description: Easy-to-use functions to generate 2-7 sets Venn plot in publication quality. 'ggVennDiagram' plot Venn using well-defined geometry dataset and 'ggplot2'. The shapes of 2-4 sets Venn use circles and ellipses, while the shapes of 4-7 sets Venn use irregular polygons (4 has both forms), which are developed and imported from another package 'venn', authored by Adrian Dusa. We provided internal functions to integrate shape data with user provided sets data, and calculated the geometry of every regions/intersections of them, then separately plot Venn in three components: set edges, set labels, and regions. From version 1.0, it is possible to customize these components as you demand in ordinary 'ggplot2' grammar.
Author: Chun-Hui Gao [aut, cre] , Guangchuang Yu [ctb] , Adrian Dusa [ctb]
Maintainer: Chun-Hui Gao <gaospecial@gmail.com>

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Package frictionless updated to version 1.0.1 with previous version 1.0.0 dated 2022-02-16

Title: Read and Write Frictionless Data Packages
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://specs.frictionlessdata.io/data-package/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.go-fair.org/fair-principles/>) and open datasets.
Author: Peter Desmet [aut, cre] , Damiano Oldoni [aut] , Research Institute for Nature and Forest [cph] , LifeWatch Belgium [fnd] , Beatriz Milz [rev] , Joao Martins [rev]
Maintainer: Peter Desmet <peter.desmet.work@gmail.com>

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Package tidyr updated to version 1.2.1 with previous version 1.2.0 dated 2022-02-01

Title: Tidy Messy Data
Description: Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package RPESE updated to version 1.2.5 with previous version 1.2.4 dated 2021-09-22

Title: Estimates of Standard Errors for Risk and Performance Measures
Description: Estimates of standard errors of popular risk and performance measures for asset or portfolio returns using methods as described in Chen and Martin (2021) <doi:10.21314/JOR.2020.446>.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Xin Chen <chenx26@uw.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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 build/vignette.rds         |binary
 inst/doc/RPESEVignette.pdf |binary
 man/DSR.SE.Rd              |    4 ++--
 man/ESratio.SE.Rd          |    3 +--
 man/Mean.SE.Rd             |    3 +--
 man/OmegaRatio.SE.Rd       |    3 +--
 man/RachevRatio.SE.Rd      |    3 +--
 man/SR.SE.Rd               |    3 +--
 man/SoR.SE.Rd              |    3 +--
 man/VaRratio.SE.Rd         |    3 +--
 man/robMean.SE.Rd          |    3 +--
 17 files changed, 41 insertions(+), 45 deletions(-)

More information about RPESE at CRAN
Permanent link

Package cli updated to version 3.4.0 with previous version 3.3.0 dated 2022-04-25

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gabor Csardi [aut, cre], Hadley Wickham [ctb], Kirill Mueller [ctb], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between cli versions 3.3.0 dated 2022-04-25 and 3.4.0 dated 2022-09-08

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Package async updated to version 0.2.2 with previous version 0.2.1 dated 2022-05-26

Title: Asynchronous Code Constructs: Generators, Yield, Async, Await
Description: Write sequential-looking code that pauses and resumes. gen() creates a generator, an iterator that returns a value and pauses each time it reaches a yield() call. async() creates a promise, which runs until it reaches a call to await(), then resumes when information is available. These work similarly to generator and async constructs from 'Python' or 'JavaScript'. Objects produced are compatible with the 'iterators' and 'promises' packages.
Author: Peter Meilstrup [aut, cre]
Maintainer: Peter Meilstrup <peter.meilstrup@gmail.com>

Diff between async versions 0.2.1 dated 2022-05-26 and 0.2.2 dated 2022-09-08

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Package fusen (with last version 0.4.0) was removed from CRAN

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

2022-04-30 0.4.0
2021-12-16 0.3.0
2021-08-04 0.2.4
2021-07-26 0.2.3
2021-07-09 0.2.2
2021-07-08 0.2.1

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Package surveybootstrap (with last version 0.0.1) was removed from CRAN

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2016-05-02 0.0.1

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Package vapour (with last version 0.8.82) was removed from CRAN

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2022-09-07 0.8.82

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Package hockeystick (with last version 0.6.2) was removed from CRAN

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2022-08-12 0.6.2
2021-09-20 0.6.1
2021-05-18 0.5.1
2021-04-14 0.5.0
2021-02-05 0.4.0

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Package networkreporting (with last version 0.1.1) was removed from CRAN

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2016-06-20 0.1.1
2016-05-04 0.1.0
2014-05-06 0.0.1

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Package xspliner (with last version 0.0.4) was removed from CRAN

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2019-09-25 0.0.4
2019-09-05 0.0.3
2018-12-21 0.0.2

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Package OpenML (with last version 1.10) was removed from CRAN

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2019-09-21 1.10
2019-08-07 1.9
2018-03-02 1.8
2017-10-17 1.7
2017-08-14 1.6
2017-08-11 1.5
2017-06-22 1.4
2017-03-30 1.3
2017-02-07 1.2
2016-11-23 1.1
2016-11-12 1.0

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Package attachment (with last version 0.2.5) was removed from CRAN

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2022-05-15 0.2.5
2021-11-16 0.2.4
2021-11-10 0.2.3
2021-01-21 0.2.1
2021-01-19 0.2.0
2020-03-15 0.1.0
2019-05-05 0.0.9

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New package rsurveycto with initial version 0.0.5
Package: rsurveycto
Title: Interact with Data on 'SurveyCTO'
Version: 0.0.5
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
URL: https://youth-impact.github.io/rsurveycto/, https://github.com/youth-impact/rsurveycto
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: checkmate (>= 2.1.0), curl (>= 4.3.2), data.table (>= 1.14.2), glue (>= 1.6.2), httr (>= 1.4.3), jsonlite (>= 1.8.0), withr (>= 2.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.1.4)
NeedsCompilation: no
Packaged: 2022-09-07 20:43:18 UTC; jakehughey
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-08 06:50:02 UTC

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New package onmaRg with initial version 0.1.0
Package: onmaRg
Title: Import Public Health Ontario's Ontario Marginalization Index
Version: 0.1.0
Description: The Ontario Marginalization Index is a socioeconomic model that is built on Statistics Canada census data. The model consists of four dimensions: Residential Instability, Material Deprivation, Dependency and Ethnic Concentration. Each of these dimensions are imported for a variety of geographic levels (DA, CD, etc.) for both the 2011 and 2016 administrations of the census (2021 pending). These data sets contribute to community analysis of equity with respect to Ontario's Anti-Racism Act. The Ontario Marginalization Index data is retrieved from the Public Health Ontario website: <https://www.publichealthontario.ca/en/data-and-analysis/health-equity/ontario-marginalization-index>. The shapefile data is retrieved from the Statistics Canada website: <https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm>.
License: GPL-3
Encoding: UTF-8
Depends: dplyr, httr, readxl, sf, stringr, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-07 19:59:40 UTC; willi
Author: William Conley [aut, cre]
Maintainer: William Conley <william@cconley.ca>
Repository: CRAN
Date/Publication: 2022-09-08 06:40:02 UTC

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New package IterativeHardThresholding with initial version 1.0.2
Package: IterativeHardThresholding
Title: Iterative Hard Thresholding Extensions to Cyclops
Version: 1.0.2
Date: 2022-9-7
Maintainer: Marc A. Suchard <msuchard@ucla.edu>
Description: Fits large-scale regression models with a penalty that restricts the maximum number of non-zero regression coefficients to a prespecified value. While Chu et al (2020) <doi:10.1093/gigascience/giaa044> describe the basic algorithm, this package uses Cyclops for an efficient implementation.
License: Apache License 2.0
Depends: R (>= 3.2.2), Cyclops (>= 1.3.0)
Imports: ParallelLogger
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-07 19:01:28 UTC; msuchard
Author: Marc A. Suchard [aut, cre], Patrick Ryan [aut], Observational Health Data Sciences and Informatics [cph]
Repository: CRAN
Date/Publication: 2022-09-08 06:42:59 UTC

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Package fmtr updated to version 1.5.9 with previous version 1.5.8 dated 2022-08-08

Title: Easily Apply Formats to Data
Description: Contains a set of functions that can be used to apply formats to data frames or vectors. The package aims to provide to functionality similar to that of SASĀ® formats. Formats are assigned to the format attribute on data frame columns. Then when the fdata() function is called, a new data frame is created with the column data formatted as specified. The package also contains a value() function to create a user-defined format, similar to a SASĀ® user-defined format.
Author: David Bosak
Maintainer: David Bosak <dbosak01@gmail.com>

Diff between fmtr versions 1.5.8 dated 2022-08-08 and 1.5.9 dated 2022-09-08

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