Wed, 07 Sep 2022

Package walrus updated to version 1.0.5 with previous version 1.0.4 dated 2022-03-09

Title: Robust Statistical Methods
Description: A toolbox of common robust statistical tests, including robust descriptives, robust t-tests, and robust ANOVA. It is also available as a module for 'jamovi' (see <https://www.jamovi.org> for more information). Walrus is based on the WRS2 package by Patrick Mair, which is in turn based on the scripts and work of Rand Wilcox. These analyses are described in depth in the book 'Introduction to Robust Estimation & Hypothesis Testing'.
Author: Jonathon Love, Patrick Mair
Maintainer: Jonathon Love <jon@thon.cc>

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Package NMdata updated to version 0.0.13 with previous version 0.0.12 dated 2022-06-06

Title: Preparation, Checking and Post-Processing Data for PK/PD Modeling
Description: Efficient tools for preparation, checking and post-processing of data in PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of Nonmem. Helps with trivial but tedious tasks and tries to identify errors to save time on debugging. Implemented in 'data.table', but easily integrated with 'base' and 'tidyverse'.
Author: Philip Delff [aut, cre]
Maintainer: Philip Delff <philip@delff.dk>

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Package gargle updated to version 1.2.1 with previous version 1.2.0 dated 2021-07-02

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] , Craig Citro [aut], Hadley Wickham [aut] , Google Inc [cph], RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package yardstick updated to version 1.1.0 with previous version 1.0.0 dated 2022-06-06

Title: Tidy Characterizations of Model Performance
Description: Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).
Author: Max Kuhn [aut], Davis Vaughan [aut], Emil Hvitfeldt [aut, cre] , RStudio [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@rstudio.com>

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Package pCODE updated to version 0.9.4 with previous version 0.9.3 dated 2019-11-23

Title: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method
Description: An implementation of the parameter cascade method in Ramsay, J. O., Hooker,G., Campbell, D., and Cao, J. (2007) for estimating ordinary differential equation models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.
Author: Haixu Wang [aut, cre], Jiguo Cao [aut]
Maintainer: Haixu Wang <haixuw@sfu.ca>

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Package PBSmapping updated to version 2.73.2 with previous version 2.73.1 dated 2022-07-12

Title: Mapping Fisheries Data and Spatial Analysis Tools
Description: This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in 'Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include 'C++' code developed by Angus Johnson for the 'Clipper' library, data for a global shoreline, and other data sets in the public domain. Under the user's R library directory '.libPaths()', specifically in './PBSmapping/doc', a complete user's guide is offered and should be consulted to use package functions effectively.
Author: Jon T. Schnute [aut], Nicholas Boers [aut], Rowan Haigh [aut, cre], Alex Couture-Beil [ctb], Denis Chabot [ctb], Chris Grandin [ctb], Angus Johnson [ctb], Paul Wessel [ctb], Franklin Antonio [ctb], Nicholas J. Lewin-Koh [ctb], Roger Bivand [ctb]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

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Package maxlike updated to version 0.1-9 with previous version 0.1-8 dated 2019-11-30

Title: Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data
Description: Provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a species' distribution.
Author: Richard Chandler, Andy Royle and Roeland Kindt
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

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Package lgrExtra updated to version 0.0.7 with previous version 0.0.6 dated 2022-05-05

Title: Extra Appenders for 'lgr'
Description: Additional appenders for the logging package 'lgr' that support logging to databases, email and push notifications.
Author: Stefan Fleck [aut, cre]
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>

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Package ClustBlock updated to version 3.0.0 with previous version 2.4.1 dated 2022-03-31

Title: Clustering of Datasets
Description: Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data. Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, Free Sorting and JAR experiments are available.
Author: Fabien Llobell [aut, cre] , Evelyne Vigneau [ctb] , Veronique Cariou [ctb] , El Mostafa Qannari [ctb]
Maintainer: Fabien Llobell <fllobell@hotmail.fr>

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Package cgmanalysis updated to version 2.7.4 with previous version 2.7.3 dated 2022-07-07

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

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Package brokenstick updated to version 2.3.0 with previous version 2.1.0 dated 2022-03-30

Title: Broken Stick Model for Irregular Longitudinal Data
Description: Data on multiple individuals through time are often sampled at times that differ between persons. Irregular observation times can severely complicate the statistical analysis of the data. The broken stick model approximates each subject’s trajectory by one or more connected line segments. The times at which segments connect (breakpoints) are identical for all subjects and under control of the user. A well-fitting broken stick model effectively transforms individual measurements made at irregular times into regular trajectories with common observation times. Specification of the model requires just three variables: time, measurement and subject. The model is a special case of the linear mixed model, with time as a linear B-spline and subject as the grouping factor. The main assumptions are: subjects are exchangeable, trajectories between consecutive breakpoints are straight, random effects follow a multivariate normal distribution, and unobserved data are missing at random. The package [...truncated...]
Author: Stef van Buuren [aut, cre]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

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Package lmtp updated to version 1.3.1 with previous version 1.3.0 dated 2022-05-21

Title: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies
Description: Non-parametric estimators for casual effects based on longitudinal modified treatment policies as described in Diaz, Williams, Hoffman, and Schenck <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and traditional longitudinal effects. Continuous, binary, and categorical treatments are allowed as well are censored outcomes. The treatment mechanism is estimated via a density ratio classification procedure irrespective of treatment variable type. For both continuous and binary outcomes, additive treatment effects can be calculated and relative risks and odds ratios may be calculated for binary outcomes.
Author: Nicholas Williams [aut, cre, cph] , Ivan Diaz [aut, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

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More information about lmtp at CRAN
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Package lawstat updated to version 3.5 with previous version 3.4 dated 2020-04-25

Title: Tools for Biostatistics, Public Policy, and Law
Description: Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness, and measures of relative variability, the package contains new robust tests of symmetry, omnibus and directional tests of normality, and their graphical counterparts such as robust QQ plot, robust trend tests for variances, etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal statistics, economics, and biostatistics.
Author: Joseph L. Gastwirth [aut], Yulia R. Gel [aut], W. L. Wallace Hui [aut], Vyacheslav Lyubchich [aut, cre] , Weiwen Miao [aut], Kimihiro Noguchi [aut]
Maintainer: Vyacheslav Lyubchich <lyubchic@umces.edu>

Diff between lawstat versions 3.4 dated 2020-04-25 and 3.5 dated 2022-09-07

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More information about lawstat at CRAN
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Package crch updated to version 1.1-0 with previous version 1.0-4 dated 2019-09-03

Title: Censored Regression with Conditional Heteroscedasticity
Description: Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals. Infrastructure for working with censored or truncated normal, logistic, and Student-t distributions, i.e., d/p/q/r functions and distributions3 objects.
Author: Jakob Messner [aut, cre] , Achim Zeileis [aut] , Reto Stauffer [aut]
Maintainer: Jakob Messner <jakob.messner@posteo.net>

Diff between crch versions 1.0-4 dated 2019-09-03 and 1.1-0 dated 2022-09-07

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Package RXshrink updated to version 2.2 with previous version 2.1 dated 2022-04-06

Title: Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
Description: Functions are provided to calculate and display ridge TRACE Diagnostics for a variety of alternative Shrinkage Paths. While all methods focus on Maximum Likelihood estimation of unknown true effects under normal distribution-theory, some estimates are modified to be Unbiased or to have "Correct Range" when estimating either [1] the noncentrality of the F-ratio for testing that true Beta coefficients are Zeros or [2] the "relative" MSE Risk (i.e. MSE divided by true sigma-square, where the "relative" variance of OLS is known.) The eff.ridge() function implements the "Efficient Shrinkage Path" introduced in Obenchain (2022) <Open Statistics>. This "p-Parameter" Shrinkage-Path always passes through the vector of regression coefficient estimates Most-Likely to achieve the overall Optimal Variance-Bias Trade-Off and is the shortest Path with this property. Functions eff.aug() and eff.biv() augment the calculations made by eff.ridge() to provide plots of the bivariate confidence ellips [...truncated...]
Author: Bob Obenchain
Maintainer: Bob Obenchain <wizbob@att.net>

Diff between RXshrink versions 2.1 dated 2022-04-06 and 2.2 dated 2022-09-07

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Package ggseqplot updated to version 0.8.0 with previous version 0.7.2 dated 2022-08-05

Title: Render Sequence Plots using 'ggplot2'
Description: A set of wrapper functions that mainly re-produces some of the sequence plots rendered with TraMineR::seqplot() and 'TraMineRextras'. Whereas 'TraMineR' uses base R to produce the plots this library draws on 'ggplot2'. The plots are produced on the basis of a sequence object defined with TraMineR::seqdef(). The package automates the reshaping and plotting of sequence data. Resulting plots are of class 'ggplot', i.e. components can be added and tweaked using '+' and regular 'ggplot2' functions.
Author: Marcel Raab [aut, cre]
Maintainer: Marcel Raab <marcel.raab@gmail.com>

Diff between ggseqplot versions 0.7.2 dated 2022-08-05 and 0.8.0 dated 2022-09-07

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More information about ggseqplot at CRAN
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New package xhaz with initial version 2.0.0
Package: xhaz
Title: Excess Hazard Modelling Considering Inappropriate Mortality Rates
Version: 2.0.0
Description: Fits relative survival regression models with or without proportional excess hazards and with the additional possibility to correct for background mortality by one or more parameter(s). These models are relevant when the observed mortality in the studied group is not comparable to that of the general population or in population-based studies where the available life tables used for net survival estimation are insufficiently stratified. In the latter case, the proposed model by Touraine et al. (2020) <doi:10.1177/0962280218823234> can be used. The user can also fit a model that relax the proportional expected hazards assumption considered in the Touraine et al. excess hazard model. This extension was proposed by Mba et al. (2020) <doi:10.1186/s12874-020-01139-z> to allow non-proportional effects of the additional variable on the general population mortality. In non-population-based studies, researchers can identify non-comparability source of bias in terms of expected mortal [...truncated...]
License: AGPL (>= 3)
Depends: R (>= 3.5.0), statmod, stats, survival
Imports: gtools, numDeriv, optimParallel, splines, stringr, survexp.fr
Suggests: knitr, rmarkdown, spelling, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2022-09-07 09:22:17 UTC; juste.goungounga
Author: Juste Goungounga [aut, cre] , Darlin Mba [aut] , Nathalie Graffeo [aut] , Roch Giorgi [aut]
Maintainer: Juste Goungounga <juste.goungounga@univ-amu.fr>
Repository: CRAN
Date/Publication: 2022-09-07 18:40:02 UTC

More information about xhaz at CRAN
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Package rdecision updated to version 1.1.2 with previous version 1.1.1 dated 2022-05-10

Title: Decision Analytic Modelling in Health Economics
Description: Classes and functions for modelling health care interventions using decision trees and semi-Markov models. Mechanisms are provided for associating an uncertainty distribution with each source variable and for ensuring transparency of the mathematical relationships between variables. The package terminology follows Briggs "Decision Modelling for Health Economic Evaluation" (2006, ISBN:978-0-19-852662-9).
Author: Andrew Sims [aut, cre] , Kim Fairbairn [aut] , Paola Cognigni [aut]
Maintainer: Andrew Sims <andrew.sims@newcastle.ac.uk>

Diff between rdecision versions 1.1.1 dated 2022-05-10 and 1.1.2 dated 2022-09-07

 DESCRIPTION                             |    8 
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New package RKorAPClient with initial version 0.7.5
Package: RKorAPClient
Title: 'KorAP' Web Service Client Package
Version: 0.7.5
Description: A client package that makes the 'KorAP' web service API accessible from R. The corpus analysis platform 'KorAP' has been developed as a scientific tool to make potentially large, stratified and multiply annotated corpora, such as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary Romanian Language CoRoLa', accessible for linguists to let them verify hypotheses and to find interesting patterns in real language use. The 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it for user-created R code, as a programmatic alternative to the 'KorAP' web user-interface. You can learn more about 'KorAP' and use it directly on 'DeReKo' at <https://korap.ids-mannheim.de/>.
Depends: R (>= 3.5.0)
Language: en-US
License: BSD_2_clause + file LICENSE
URL: https://github.com/KorAP/RKorAPClient/, https://korap.ids-mannheim.de/, https://www.ids-mannheim.de/digspra/kl/projekte/korap
BugReports: https://github.com/KorAP/RKorAPClient/issues
Encoding: UTF-8
Imports: R.cache, broom, ggplot2, tibble, magrittr, tidyr, dplyr, lubridate, highcharter, jsonlite, keyring, utils, httr, curl, methods, PTXQC, purrr, stringr, urltools
Suggests: lifecycle, testthat
NeedsCompilation: no
Packaged: 2022-09-07 09:15:49 UTC; kupietz
Author: Marc Kupietz [aut, cre], Nils Diewald [ctb], Leibniz Institute for the German Language [cph, fnd]
Maintainer: Marc Kupietz <kupietz@ids-mannheim.de>
Repository: CRAN
Date/Publication: 2022-09-07 18:40:09 UTC

More information about RKorAPClient at CRAN
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New package flexsiteboard with initial version 0.0.6
Package: flexsiteboard
Title: Breaks Single Page Applications from 'flexdashboard' in Multiple Files
Version: 0.0.6
Description: A drop-in replacement for 'flexdashboard' 'Rmd' documents, which implements an after-knit-hook to split the generated single page application in one document per main section to reduce rendering load in the web browser displaying the document. Put all 'JavaScript' stuff needed in all sections before the first headline featuring navigation menu attributes. This package is experimental and maybe replaced by a solution inside 'flexdashboard'.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Imports: flexdashboard, htmltools, htmlwidgets, jsonlite, knitr, rmarkdown, stats, yaml
SystemRequirements: pandoc (>= 2.4) - http://pandoc.org
VignetteBuilder: knitr
Suggests: withr, testthat (>= 3.0.0), spelling
Language: en-US
NeedsCompilation: no
Packaged: 2022-09-07 08:55:27 UTC; struckmanns
Author: University Medicine Greifswald [cph], Stephan Struckmann [aut, cre]
Maintainer: Stephan Struckmann <stephan.struckmann@uni-greifswald.de>
Repository: CRAN
Date/Publication: 2022-09-07 18:40:06 UTC

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New package vapour with initial version 0.8.82
Package: vapour
Title: Access to the 'Geospatial Data Abstraction Library' ('GDAL')
Version: 0.8.82
Description: Provides low-level access to 'GDAL' functionality. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>. This package is focussed on providing exactly and only what GDAL does, to enable developing further tools.
Depends: R (>= 3.3.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: jsonlite, Rcpp, utils
Suggests: testthat, knitr, markdown, rmarkdown, spelling
SystemRequirements: GDAL (>= 2.2.3), PROJ (>= 4.8.0), C++11
VignetteBuilder: knitr
URL: https://github.com/hypertidy/vapour
BugReports: https://github.com/hypertidy/vapour/issues
Language: en-US
NeedsCompilation: yes
Packaged: 2022-09-06 09:28:00 UTC; mdsumner
Author: Michael Sumner [aut, cre] , Simon Wotherspoon [ctb] , Mark Padgham [ctb] ), Edzer Pebesma [ctb] , Roger Bivand [ctb] , Jim Hester [ctb, cph] , Timothy Keitt [ctb] , Jeroen Ooms [ctb] , Dale Maschette [ctb] , Joseph Stachelek [ctb], Even Rouault [ctb] [...truncated...]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-07 17:50:02 UTC

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New package SAEforest with initial version 1.0.0
Package: SAEforest
Title: Mixed Effect Random Forests for Small Area Estimation
Version: 1.0.0
Description: Mixed Effects Random Forests (MERFs) are a data-driven, nonparametric alternative to current methods of Small Area Estimation (SAE). 'SAEforest' provides functions for the estimation of regionally disaggregated linear and nonlinear indicators using survey sample data. Included procedures facilitate the estimation of domain-level economic and inequality metrics and assess associated uncertainty. Emphasis lies on straightforward interpretation and visualization of results. From a methodological perspective, the package builds on approaches discussed in Krennmair and Schmid (2022) <arXiv:2201.10933v2> and Krennmair et al. (2022) <arXiv:2204.10736>.
License: GPL (>= 2)
URL: https://github.com/krennpa/SAEforest, https://krennpa.github.io/SAEforest/
Depends: R (>= 4.1.0)
Imports: caret, dplyr, ggplot2, haven, ineq, lme4, maptools, pbapply, pdp, ranger, reshape2, stats, vip
Suggests: R.rsp, sp, rgeos, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2022-09-06 11:37:18 UTC; Patrick
Author: Patrick Krennmair [aut, cre]
Maintainer: Patrick Krennmair <patrick.krennmair@fu-berlin.de>
Repository: CRAN
Date/Publication: 2022-09-07 17:50:06 UTC

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Package MatrixExtra updated to version 0.1.13 with previous version 0.1.12 dated 2022-08-16

Title: Extra Methods for Sparse Matrices
Description: Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition ("+") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many <sparse, dense> types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication. (g) Convenience functions for sparse objects, such as 'm [...truncated...]
Author: David Cortes [aut, cre, cph], Dmitry Selivanov [cph], Thibaut Goetghebuer-Planchon [cph] , Martin Maechler [cph] , Robert Gentleman [cph] , Ross Ihaka [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between MatrixExtra versions 0.1.12 dated 2022-08-16 and 0.1.13 dated 2022-09-07

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Package isotree updated to version 0.5.17 with previous version 0.5.16 dated 2022-08-06

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), fair-cut forest (Cortes (2021) <arXiv:2110:13402>), robust random-cut forest (Guha, Mishra, Roy, Schrijvers (2016) <http://proceedings.mlr.press/v48/guha16.html>), and customizable variations of them, for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), isolation kernel calculation (Ting, Zhu, Zhou (2018) <doi:10.1145/3219819.3219990>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting, and providing different metrics for scoring anomalies based on isolation depth or density (Cortes (2021) <arXiv:2111.11639>). Provides simp [...truncated...]
Author: David Cortes [aut, cre, cph], Thibaut Goetghebuer-Planchon [cph] , David Blackman [cph] , Sebastiano Vigna [cph] , NumPy Developers [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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New package IsoCor with initial version 0.1.40
Package: IsoCor
Title: Analyze Isotope Ratios in a 'Shiny'-App
Version: 0.1.40
Date: 2022-09-06
Description: Analyzing Inductively Coupled Plasma - Mass Spectrometry (ICP-MS) measurement data to evaluate isotope ratios (IRs) is a complex process. The 'IsoCor' package facilitates this process and renders it reproducible by providing a function to run a 'Shiny'-App locally in any web browser. In this App the user can upload data files of various formats, select ion traces, apply peak detection and perform calculation of IRs and delta values. Results are provided as figures and tables and can be exported. The App, therefore, facilitates data processing of ICP-MS experiments to quickly obtain optimal processing parameters compared to traditional 'Excel' worksheet based approaches. A more detailed description can be found in the corresponding article "Data processing made easy: standalone tool for automated calculation of isotope ratio from transient signals – IsoCor" by Tukhmetova et al. in Journal of Analytical Atomic Spectrometry (JAAS). The most recent version of 'IsoCor' can be tested online [...truncated...]
URL: https://jali.shinyapps.io/isocor
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.50)
Imports: bsplus, DT, golem, htmltools, MALDIquant, markdown, plyr, rmarkdown, shiny, shinyalert, shinyjs
Suggests: config, pkgload, rsconnect, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-09-06 11:13:45 UTC; jlisec
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>
Repository: CRAN
Date/Publication: 2022-09-07 18:00:07 UTC

More information about IsoCor at CRAN
Permanent link

Package icesTAF updated to version 4.0.0 with previous version 3.6.0 dated 2020-10-19

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut], Colin Millar [aut, cre], Alexandros Kokkalis [ctb], Iago Mosqueira [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
Maintainer: Colin Millar <colin.millar@ices.dk>

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New package h2otools with initial version 0.0.1
Package: h2otools
Title: Machine Learning Model Evaluation for 'h2o' Package
Version: 0.0.1
Depends: R (>= 3.5.0)
Description: Several functions are provided that simplify using 'h2o' package. Currently, a function for extracting the AutoML model parameter is provided, alongside a function for computing F-Measure statistics at any given threshold. For more information about 'h2o' package see <https://h2o.ai/>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: h2o (>= 3.34.0.0), curl
URL: https://github.com/haghish/h2otools, https://www.sv.uio.no/psi/english/people/aca/haghish/
BugReports: https://github.com/haghish/h2otools/issues
NeedsCompilation: no
Packaged: 2022-09-06 12:01:11 UTC; OJO
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@uio.no>
Repository: CRAN
Date/Publication: 2022-09-07 18:00:05 UTC

More information about h2otools at CRAN
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Package DSsim (with last version 1.1.5) was removed from CRAN

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

2020-02-29 1.1.5
2019-02-13 1.1.4
2018-06-27 1.1.3
2017-07-03 1.1.2
2017-02-21 1.1.1
2017-01-16 1.1.0
2016-11-07 1.0.8
2016-10-05 1.0.7
2016-08-10 1.0.6
2016-06-20 1.0.5

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Package telegram.bot updated to version 3.0.0 with previous version 2.4.1 dated 2022-08-18

Title: Develop a 'Telegram Bot' with R
Description: Provides a pure interface for the 'Telegram Bot API' <http://core.telegram.org/bots/api>. In addition to the pure API implementation, it features a number of tools to make the development of 'Telegram' bots with R easy and straightforward, providing an easy-to-use interface that takes some work off the programmer.
Author: Ernest Benedito [aut, cre], Chris Stefano [ctb]
Maintainer: Ernest Benedito <ebeneditos@gmail.com>

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Package tarchetypes updated to version 0.7.1 with previous version 0.7.0 dated 2022-08-05

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package unittest updated to version 1.5-1 with previous version 1.4-0 dated 2019-11-21

Title: TAP-Compliant Unit Testing
Description: Concise TAP <http://testanything.org/> compliant unit testing package. Authored tests can be run using CMD check with minimal implementation overhead.
Author: Jamie Lentin [aut, cre], Anthony Hennessey [aut]
Maintainer: Jamie Lentin <jm@ravingmantis.com>

Diff between unittest versions 1.4-0 dated 2019-11-21 and 1.5-1 dated 2022-09-07

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Package chromote updated to version 0.1.1 with previous version 0.1.0 dated 2022-04-19

Title: Headless Chrome Web Browser Interface
Description: An implementation of the 'Chrome DevTools Protocol', for controlling a headless Chrome web browser.
Author: Winston Chang [aut, cre], Barret Schloerke [aut], RStudio [cph, fnd]
Maintainer: Winston Chang <winston@rstudio.com>

Diff between chromote versions 0.1.0 dated 2022-04-19 and 0.1.1 dated 2022-09-07

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Package vmr updated to version 0.0.5 with previous version 0.0.4 dated 2022-07-08

Title: Virtual Machines for R
Description: Manage, provision and use Virtual Machines pre-configured for R. Develop, test and build package in a clean environment. 'Vagrant' tool and a provider (such as 'Virtualbox') have to be installed.
Author: Jean-Francois Rey [cre, aut]
Maintainer: Jean-Francois Rey <jf.rey.public@gmail.com>

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Package rhino updated to version 1.1.1 with previous version 1.1.0 dated 2022-07-12

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
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>

Diff between rhino versions 1.1.0 dated 2022-07-12 and 1.1.1 dated 2022-09-07

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Package future.apply updated to version 1.9.1 with previous version 1.9.0 dated 2022-04-25

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Author: Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future.apply versions 1.9.0 dated 2022-04-25 and 1.9.1 dated 2022-09-07

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Package RcmdrPlugin.WorldFlora updated to version 1.2 with previous version 1.1 dated 2020-09-21

Title: R Commander Plug-in for the 'WorldFlora' Package
Description: An R Commander plug-in for the 'WorldFlora' package. It was mainly developed to show work flows and scripts for first-time users.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

Diff between RcmdrPlugin.WorldFlora versions 1.1 dated 2020-09-21 and 1.2 dated 2022-09-07

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Package GREENeR updated to version 0.1.1 with previous version 0.1.0 dated 2022-01-27

Title: Geospatial Regression Equation for European Nutrient Losses (GREEN)
Description: Tools and methods to apply the model Geospatial Regression Equation for European Nutrient losses (GREEN); Grizzetti et al. (2005) <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021) <doi:10.1016/j.gloenvcha.2021.102281>.
Author: A. Udias [aut], B. Grizzetti [aut], O. Vigiak [aut], J. Gomez [aut], C. Alfaro [aut, cre], A. Aloe [aut]
Maintainer: C. Alfaro <c.alfarog@gmail.com>

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Package AlleleShift updated to version 1.1 with previous version 1.0-2 dated 2021-08-14

Title: Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change
Description: Methods (<doi:10.7717/peerj.11534>) are provided of calibrating and predicting shifts in allele frequencies through redundancy analysis ('vegan::rda()') and generalized additive models ('mgcv::gam()'). Visualization functions for predicted changes in allele frequencies include 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()', 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input data sets that are prepared by helper functions for each visualization method. Examples in the documentation show how to prepare animated climate change graphics through a time series with the 'gganimate' package. Function 'amova.rda()' shows how Analysis of Molecular Variance can be directly conducted with the results from redundancy analysis.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

Diff between AlleleShift versions 1.0-2 dated 2021-08-14 and 1.1 dated 2022-09-07

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Package WorldFlora updated to version 1.11 with previous version 1.10 dated 2021-12-21

Title: Standardize Plant Names According to World Flora Online Taxonomic Backbone
Description: World Flora Online is an online flora of all known plants, available from <http://www.worldfloraonline.org/>. Methods are provided of matching a list of plant names (scientific names, taxonomic names, botanical names) against a static copy of the World Flora Online Taxonomic Backbone data that can be downloaded from the World Flora Online website. The World Flora Online Taxonomic Backbone is an updated version of The Plant List (<http://www.theplantlist.org/>), a working list of plant names that has become static since 2013.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

Diff between WorldFlora versions 1.10 dated 2021-12-21 and 1.11 dated 2022-09-07

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Package VCA updated to version 1.4.5 with previous version 1.4.4 dated 2022-08-31

Title: Variance Component Analysis
Description: ANOVA and REML estimation of linear mixed models is implemented, once following Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package. The primary objective of this package is to perform a variance component analysis (VCA) according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement Procedures" (2014). There are plotting methods for visualization of an experimental design, plotting random effects and residuals. For ANOVA type estimation two methods for computing ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of variance components can be derived, which is used in estimating confidence intervals. Linear hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific values of covariables and with custom weighting schemes for factor variables. See ?VCA for a more comprehensive description of the features.
Author: Andre Schuetzenmeister [aut, cre], Florian Dufey [aut]
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VCA versions 1.4.4 dated 2022-08-31 and 1.4.5 dated 2022-09-07

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Package net4pg updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-20

Title: Handle Ambiguity of Protein Identifications from Shotgun Proteomics
Description: In shotgun proteomics, shared peptides (i.e., peptides that might originate from different proteins sharing homology, from different proteoforms due to alternative mRNA splicing, post-translational modifications, proteolytic cleavages, and/or allelic variants) represent a major source of ambiguity in protein identifications. The 'net4pg' package allows to assess and handle ambiguity of protein identifications. It implements methods for two main applications. First, it allows to represent and quantify ambiguity of protein identifications by means of graph connected components (CCs). In graph theory, CCs are defined as the largest subgraphs in which any two vertices are connected to each other by a path and not connected to any other of the vertices in the supergraph. Here, proteins sharing one or more peptides are thus gathered in the same CC (multi-protein CC), while unambiguous protein identifications constitute CCs with a single protein vertex (single-protein CCs). Therefore, the pro [...truncated...]
Author: Laura Fancello [aut, cre] , Thomas Burger [aut, ctb]
Maintainer: Laura Fancello <laura.fancello@gmail.com>

Diff between net4pg versions 0.1.0 dated 2021-09-20 and 0.1.1 dated 2022-09-07

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New package remaCor with initial version 0.0.9
Package: remaCor
Title: Random Effects Meta-Analysis for Correlated Test Statistics
Version: 0.0.9
Date: 2022-09-06
Description: Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.
License: Artistic-2.0
URL: https://github.com/GabrielHoffman/remaCor
BugReports: https://github.com/GabrielHoffman/remaCor/issues
Suggests: knitr, metafor
Depends: R (>= 3.6.0), RUnit, clusterGeneration, ggplot2, grid, reshape2, methods
Imports: mvtnorm, compiler, Rdpack, stats
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-06 13:55:04 UTC; gabrielhoffman
Author: Gabriel Hoffman [aut, cre]
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>
Repository: CRAN
Date/Publication: 2022-09-07 08:30:02 UTC

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New package OneArm2stage with initial version 1.1.4
Package: OneArm2stage
Title: Optimal One-Arm Two-Stage Phase II Design with Survival Endpoint
Version: 1.1.4
Description: The proposed two-stage design can be used for single-arm phase II trial designs with time-to-event endpoints, which is desirable for clinical trials on immunotherapies among cancer patients. There're two advantages of the proposed approach: 1) It provides flexible choices of four underlying survival distributions and 2) the power of the design is more accurately calculated using exact variance in one-sample log-rank test. The package can be used for 1) planning the sample size; 2) conducting the interim and final analyses for the Go/No-go decisions. More details about the design method can be found in the paper: Wu, J, Chen L, Wei J, Weiss H, Chauhan A. (2020). <doi:10.1002/pst.1983>.
NeedsCompilation: no
Encoding: UTF-8
Repository: CRAN
Imports: survival, utils, flexsurv, IPDfromKM
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Packaged: 2022-09-06 19:42:02 UTC; xyuan86
Author: Xiaomeng Yuan [aut, cre], Haitao Pan [aut], Jianrong Wu [aut]
Maintainer: Xiaomeng Yuan <xiaomeng.yuan@stjude.org>
Date/Publication: 2022-09-07 08:40:02 UTC

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Package naptanr updated to version 1.0.1 with previous version 1.0.0 dated 2022-08-13

Title: Call the 'NaPTAN' API Through R
Description: An R wrapper for pulling data from the National Public Transport Access Nodes ('NaPTAN') API (<https://www.api.gov.uk/dft/national-public-transport-access-nodes-naptan-api/#national-public-transport-access-nodes-naptan-api>). This allows users to download 'NaPTAN' transport information, for the full dataset, by ATCO region code, or by name of region.
Author: Tom Westlake [aut], Francesca Bryden [aut, cre], Sara Smith [aut]
Maintainer: Francesca Bryden <francesca.bryden@dft.gov.uk>

Diff between naptanr versions 1.0.0 dated 2022-08-13 and 1.0.1 dated 2022-09-07

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New package dsfa with initial version 0.0.3
Package: dsfa
Title: Distributional Stochastic Frontier Analysis
Version: 0.0.3
Description: Framework to fit distributional stochastic frontier models. Casts the stochastic frontier model into the flexible framework of distributional regression or otherwise known as General Additive Models of Location, Scale and Shape (GAMLSS). Allows for linear, non-linear, random and spatial effects on all the parameters of the distribution of the output, e.g. effects on the production or cost function, heterogeneity of the noise and inefficiency. Available distributions are the normal-halfnormal and normal-exponential distribution. Estimation via the fast and reliable routines of the 'mgcv' package. For more details see Schmidt R, Kneib T (2022) <doi:10.48550/arXiv.2208.10294>.
Imports: mgcv, sn, gratia, graphics, stats, copula, numDeriv, Rdpack
NeedsCompilation: yes
SystemRequirements: C++11
License: MIT + file LICENSE
Encoding: UTF-8
Packaged: 2022-09-06 14:56:08 UTC; admin
Author: Rouven Schmidt [aut, cre]
Maintainer: Rouven Schmidt <rouven.schmidt@tu-clausthal.de>
Repository: CRAN
Date/Publication: 2022-09-07 08:30:08 UTC

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Package Zseq updated to version 0.2.1 with previous version 0.2.0 dated 2018-02-02

Title: Integer Sequence Generator
Description: Generates well-known integer sequences. 'gmp' package is adopted for computing with arbitrarily large numbers. Every function has hyperlink to its corresponding item in OEIS (The On-Line Encyclopedia of Integer Sequences) in the function help page. For interested readers, see Sloane and Plouffe (1995, ISBN:978-0125586306).
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisungyou@outlook.com>

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Package sketching updated to version 0.1.2 with previous version 0.1.1 dated 2022-08-31

Title: Sketching of Data via Random Subspace Embeddings
Description: Construct sketches of data via random subspace embeddings. For more details, see the following papers. Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Proceedings of the 39th International Conference on Machine Learning (ICML22), 162:12498-12520. Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45–80.
Author: Sokbae Lee [aut, cre], Serena Ng [aut]
Maintainer: Sokbae Lee <sl3841@columbia.edu>

Diff between sketching versions 0.1.1 dated 2022-08-31 and 0.1.2 dated 2022-09-07

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New package rwarrior with initial version 0.4.1
Package: rwarrior
Title: R Warrior - An AI Programming Game
Version: 0.4.1
Description: A port of Ruby Warrior. Teaches R programming in a fun and interactive way.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: methods, R6, glue, cli, dplyr, tibble, checkmate, stringr
Suggests: covr, knitr, rmarkdown, purrr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-06 07:04:03 UTC; tankard.r
Author: Rick M Tankard [cre, aut]
Maintainer: Rick M Tankard <rickmtankard@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-07 07:40:02 UTC

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New package oceanexplorer with initial version 0.0.1
Package: oceanexplorer
Title: Explore Our Planet's Oceans with NOAA
Version: 0.0.1
Description: Provides tools for easy exploration of the world ocean atlas of the US agency National Oceanic and Atmospheric Administration (NOAA). It includes functions to extract NetCDF data from the repository and code to visualize several physical and chemical parameters of the ocean. A Shiny app further allows interactive exploration of the data. The methods for data collecting and quality checks are described in several papers, which can be found here: <https://www.ncei.noaa.gov/products/world-ocean-atlas>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: cffr, covr, curl, devtools (>= 2.4.3), diffviewer (>= 0.1.1), globals (>= 0.14.0), knitr, rmarkdown, roxygen2, shinytest (>= 1.5.1), spelling, testthat (>= 3.1.2), tibble, vdiffr (>= 1.0.2)
Imports: stars (>= 0.5.5), shiny (>= 1.7.1), ggplot2 (>= 3.3.5), sf (>= 1.0.5), waiter (>= 0.2.5), bslib (>= 0.3.1), thematic (>= 0.1.2.1), shinyFeedback (>= 0.4.0), purrr (>= 0.3.4), miniUI (>= 0.1.1.1), rstudioapi (>= 0.13), DT (>= 0.20), fs (>= 1.5.2), glue (>= 1.6.0), shinyjs (>= 2.1.0), rlang (>= 0.4.11), maps (>= 3.4.0), ncmeta (>= 0.3.0), RNetCDF (>= 2.6.1), dplyr (>= 1.0.9)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://utrechtuniversity.github.io/oceanexplorer/, https://utrecht-university.shinyapps.io/oceanexplorer/, https://www.ncei.noaa.gov/products/world-ocean-atlas
BugReports: https://github.com/UtrechtUniversity/oceanexplorer/issues
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-09-06 07:53:33 UTC; maria
Author: Martin Schobben [aut, cre, cph] , Peter Bijl [ctb]
Maintainer: Martin Schobben <schobbenmartin@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-07 07:40:05 UTC

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Package nlmeVPC updated to version 2.3 with previous version 2.2 dated 2021-11-04

Title: Visual Model Checking for Nonlinear Mixed Effect Model
Description: Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plot (Karlsson and Holford, 2008, <https://www.page-meeting.org/?abstract=1434>).
Author: Eun-Kyung Lee [aut, cre], Eun-Hwa Kang [aut]
Maintainer: Eun-Kyung Lee <lee.eunk@gmail.com>

Diff between nlmeVPC versions 2.2 dated 2021-11-04 and 2.3 dated 2022-09-07

 DESCRIPTION               |   15 +
 MD5                       |   64 ++++----
 NAMESPACE                 |    4 
 R/BootVPC.R               |  202 +++++++++++++------------
 R/FindBestCut.R           |   84 +++++-----
 R/Misc.R                  |   69 ++++----
 R/NumericalCheck.R        |  257 +++++++++++++++++----------------
 R/VPCgraph.R              |  304 +++++++++++++++++++--------------------
 R/aqrVPC.R                |  171 ++++++++++++---------
 R/asVPC.R                 |  358 +++++++++++++++++++++++-----------------------
 R/coverage.R              |  151 ++++++++-----------
 R/coverageDetailplot.R    |  108 ++++++-------
 R/makeCOVbin.R            |   51 +++---
 R/optK.R                  |   92 +++++------
 R/quantVPC.R              |  124 ++++++++-------
 data/origdata.rda         |binary
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 man/coverageDetailplot.Rd |   34 ++--
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 man/findSIMQuantile.Rd    |   10 -
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New package mlim with initial version 0.0.9
Package: mlim
Title: Multiple Imputation with Automated Machine Learning
Version: 0.0.9
Depends: R (>= 3.5.0)
Description: Using automated machine learning, the package fine-tunes an Elastic Net (default) or Gradient Boosting, Random Forest, Deep Learning, Extreme Gradient Boosting, or Stacked Ensemble machine learning model for imputing the missing observations of each variable. This procedure has been implemented for the first time by this package and is expected to outperform other packages for imputing missing data that do not fine-tune their models. The main idea is to allow the model to set its own parameters for imputing each variable instead of setting fixed predefined parameters to impute all variables of the dataset.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: h2o (>= 3.34.0.0), curl (>= 4.3.0), mice, missRanger, memuse, md.log (>= 0.2.0)
LazyData: true
URL: https://github.com/haghish/mlim, https://www.sv.uio.no/psi/english/people/aca/haghish/
BugReports: https://github.com/haghish/mlim/issues
NeedsCompilation: no
Packaged: 2022-09-06 09:19:02 UTC; OJO
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@uio.no>
Repository: CRAN
Date/Publication: 2022-09-07 07:50:08 UTC

More information about mlim at CRAN
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New package mccca with initial version 0.1.1
Package: mccca
Title: Visualizing Class Specific Heterogeneous Tendencies in Categorical Data
Version: 0.1.1
Author: Mariko Takagishi [aut, cre]
Maintainer: Mariko Takagishi <m.takagishi0728@gmail.com>
Description: Performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the package refers to Mariko Takagishi and Michel van de Velden (2022)<doi:10.1080/10618600.2022.2035737>.
License: GPL (>= 2)
Depends: R (>= 4.1.0)
Imports: magic, stringr, ggplot2, wordcloud, RColorBrewer, stats, utils, grDevices
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2022-09-06 07:35:12 UTC; takagishimariko
Repository: CRAN
Date/Publication: 2022-09-07 07:40:08 UTC

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Package grpsel updated to version 1.3.1 with previous version 1.3.0 dated 2022-06-18

Title: Group Subset Selection
Description: Provides tools for sparse regression modelling with grouped predictors using the group subset selection penalty. Uses coordinate descent and local search algorithms to rapidly deliver near optimal estimates. The group subset penalty can be combined with a group lasso or ridge penalty for added shrinkage. Linear and logistic regression are supported, as are overlapping groups.
Author: Ryan Thompson [aut, cre]
Maintainer: Ryan Thompson <ryan.thompson1@unsw.edu.au>

Diff between grpsel versions 1.3.0 dated 2022-06-18 and 1.3.1 dated 2022-09-07

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New package eHDPrep with initial version 1.2.1
Package: eHDPrep
Title: Quality Control and Semantic Enrichment of Datasets
Version: 1.2.1
Maintainer: Ian Overton <I.Overton@qub.ac.uk>
Description: A tool for the preparation and enrichment of health datasets for analysis. Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset. 'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 3.3.3), dplyr (>= 1.0.3), forcats (>= 0.5.0), stringr (>= 1.4.0), purrr (>= 0.3.4), tidyr (>= 1.1.2), kableExtra (>= 1.3.1), magrittr (>= 2.0.1), tibble (>= 3.0.5), scales (>= 1.1.1), rlang (>= 0.4.10), quanteda (>= 2.1.2), tm (>= 0.7-8), pheatmap (>= 1.0.12), igraph (>= 1.2.6), tidygraph (>= 1.2.0), readr (>= 1.4.0), readxl (>= 1.3.1), knitr (>= 1.31)
VignetteBuilder: knitr
Depends: R (>= 3.6.0)
Suggests: testthat (>= 2.1.0), ggraph (>= 2.0.5)
NeedsCompilation: no
Packaged: 2022-09-06 10:47:07 UTC; tom
Author: Tom Toner [aut] , Ian Overton [aut, cre]
Repository: CRAN
Date/Publication: 2022-09-07 07:50:14 UTC

More information about eHDPrep at CRAN
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Package distill updated to version 1.5 with previous version 1.4 dated 2022-05-12

Title: 'R Markdown' Format for Scientific and Technical Writing
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
Author: Christophe Dervieux [aut, cre] , JJ Allaire [aut] , Rich Iannone [aut], Alison Presmanes Hill [aut] , Yihui Xie [aut] , RStudio, PBC [cph, fnd], Google LLC [ctb, cph] , Nick Williams [ctb, cph] , Denis Demchenko [ctb, cph] , The Polymer Authors [ctb, [...truncated...]
Maintainer: Christophe Dervieux <cderv@rstudio.com>

Diff between distill versions 1.4 dated 2022-05-12 and 1.5 dated 2022-09-07

 DESCRIPTION                                                           |   10 
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 NAMESPACE                                                             |   32 
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 R/appendices.R                                                        |  629 +-
 R/collections.R                                                       | 2022 +++----
 R/create.R                                                            |  888 +--
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 R/placeholders.R                                                      |   70 
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 R/reexports.R                                                         |    2 
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 R/site_includes.R                                                     |  306 -
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 R/theme.R                                                             |   70 
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 inst/www/anchor/anchor.min.js                                         |   16 
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 inst/www/bowser/bowser.min.js                                         |   10 
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 inst/www/fuse/fuse.min.js                                             |   16 
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 man/create_article.Rd                                                 |   62 
 man/create_post.Rd                                                    |  100 
 man/create_theme.Rd                                                   |  102 
 man/create_website.Rd                                                 |   68 
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 man/distill_article.Rd                                                |  237 
 man/distill_website.Rd                                                |   36 
 man/import_post.Rd                                                    |   92 
 man/publish_website.Rd                                                |   96 
 man/rename_post_dir.Rd                                                |   68 
 man/rmd-fragments/apply-theme.Rmd                                     |   50 
 tests/testthat.R                                                      |    8 
 tests/testthat/helpers.R                                              |   86 
 tests/testthat/test-collections.R                                     |   24 
 tests/testthat/test-create.R                                          |   60 
 tests/testthat/test-distill_article.R                                 |   10 
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 tests/testthat/test-theme.R                                           |   12 
 81 files changed, 12863 insertions(+), 12830 deletions(-)

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New package BFS with initial version 0.4.3
Package: BFS
Title: Get Data from the Swiss Statistical Office
Version: 0.4.3
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Search and download data from the Swiss Federal Statistical Office (BFS) <https://www.bfs.admin.ch/>.
License: MIT + file LICENSE
Depends: R (>= 3.0.1)
Imports: pxweb, jsonlite, xml2, rvest, tibble, magrittr, janitor, lifecycle, tidyRSS
Encoding: UTF-8
URL: https://felixluginbuhl.com/BFS/, https://github.com/lgnbhl/BFS/
BugReports: https://github.com/lgnbhl/BFS/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-09-06 08:50:54 UTC; Admin
Author: Felix Luginbuhl [aut, cre]
Repository: CRAN
Date/Publication: 2022-09-07 07:50:21 UTC

More information about BFS at CRAN
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Package AEP updated to version 0.1.4 with previous version 0.1.2 dated 2020-08-12

Title: Statistical Modelling for Asymmetric Exponential Power Distribution
Description: Developed for Computing the probability density function, cumulative distribution function, random generation, estimating the parameters of asymmetric exponential power distribution, and robust regression analysis with error term that follows asymmetric exponential power distribution. The asymmetric exponential power distribution studied here is a special case of that introduced by Dongming and Zinde-Walsh (2009) <doi:10.1016/j.jeconom.2008.09.038>.
Author: Mahdi Teimouri [aut, cre, cph, ctb]
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>

Diff between AEP versions 0.1.2 dated 2020-08-12 and 0.1.4 dated 2022-09-07

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 11 files changed, 73 insertions(+), 100 deletions(-)

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Package i18n updated to version 0.2.0 with previous version 0.1.0 dated 2022-03-29

Title: Internationalization Data from the 'Unicode CLDR' in Tabular Form
Description: Up-to-date data from the 'Unicode CLDR Project' (where 'CLDR' stands for 'Common Locale Data Repository') are available here as a series of easy-to-parse datasets. Several functions are provided for extracting key elements from the tabular datasets.
Author: Richard Iannone [aut, cre]
Maintainer: Richard Iannone <riannone@me.com>

Diff between i18n versions 0.1.0 dated 2022-03-29 and 0.2.0 dated 2022-09-07

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 59 files changed, 569 insertions(+), 229 deletions(-)

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Package fastadi updated to version 0.1.1 with previous version 0.1.0 dated 2022-02-11

Title: Self-Tuning Data Adaptive Matrix Imputation
Description: Implements the AdaptiveImpute matrix completion algorithm of 'Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion', <https://amstat.tandfonline.com/doi/abs/10.1080/10618600.2018.1518238>. AdaptiveImpute is useful for embedding sparsely observed matrices, often out performs competing matrix completion algorithms, and self-tunes its hyperparameter, making usage easy.
Author: Alex Hayes [aut, cre, cph] , Juhee Cho [aut], Donggyu Kim [aut], Karl Rohe [aut]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between fastadi versions 0.1.0 dated 2022-02-11 and 0.1.1 dated 2022-09-07

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 README.md                                  |    1 +
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 9 files changed, 19 insertions(+), 17 deletions(-)

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Package distributions3 updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-21

Title: Probability Distributions as S3 Objects
Description: Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
Author: Alex Hayes [aut, cre] , Ralph Moller-Trane [aut], Emil Hvitfeldt [ctb] , Daniel Jordan [aut], Paul Northrop [aut], Moritz N. Lang [aut] , Achim Zeileis [aut] , Bruna Wundervald [ctb], Alessandro Gasparini [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between distributions3 versions 0.2.0 dated 2022-06-21 and 0.2.1 dated 2022-09-07

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