Fri, 13 Jan 2023

Package rdmulti updated to version 1.0 with previous version 0.9 dated 2022-06-22

Title: Analysis of RD Designs with Multiple Cutoffs or Scores
Description: The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdmulti' package provides tools to analyze RD designs with multiple cutoffs or scores: rdmc() estimates pooled and cutoff specific effects for multi-cutoff designs, rdmcplot() draws RD plots for multi-cutoff designs and rdms() estimates effects in cumulative cutoffs or multi-score designs. See Cattaneo, Titiunik and Vazquez-Bare (2020) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2020_Stata.pdf> for further methodological details.
Author: Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
Maintainer: Gonzalo Vazquez-Bare <gvazquez@econ.ucsb.edu>

Diff between rdmulti versions 0.9 dated 2022-06-22 and 1.0 dated 2023-01-13

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Package tosr updated to version 0.1.2 with previous version 0.1.1 dated 2022-01-14

Title: Create the Tree of Science from WoS and Scopus
Description: The goal of 'tosr' is to create the Tree of Science from Web of Science (WoS) and Scopus data. It can read files from both sources at the same time. More information can be found in Valencia-Hernández (2020) <https://revistas.unal.edu.co/index.php/ingeinv/article/view/77718>.
Author: Sebastian Robledo [aut, cre] , Martha Zuluaga [aut] , Oscar Arbelaez Echeverry [aut] , Luis Alexander Valencia Hernandez [aut], Centro de Bioinformatica y Biologia computacional de Colombia - BIOS [cph, fnd]
Maintainer: Sebastian Robledo <sebastian.robledogi@amigo.edu.co>

Diff between tosr versions 0.1.1 dated 2022-01-14 and 0.1.2 dated 2023-01-13

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Package radiant updated to version 1.5.0 with previous version 1.4.4 dated 2022-08-08

Title: Business Analytics using R and Shiny
Description: A platform-independent browser-based interface for business analytics in R, based on the shiny package. The application combines the functionality of 'radiant.data', 'radiant.design', 'radiant.basics', 'radiant.model', and 'radiant.multivariate'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package epitrix updated to version 0.4.0 with previous version 0.2.2 dated 2019-01-15

Title: Small Helpers and Tricks for Epidemics Analysis
Description: A collection of small functions useful for epidemics analysis and infectious disease modelling. This includes computation of basic reproduction numbers from growth rates, generation of hashed labels to anonymize data, and fitting discretized Gamma distributions.
Author: Thibaut Jombart [aut, cre], Anne Cori [aut], Zhian N. Kamvar [ctb], Dirk Schumacher [ctb], Flavio Finger [aut], Charlie Whittaker [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

Diff between epitrix versions 0.2.2 dated 2019-01-15 and 0.4.0 dated 2023-01-13

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New package conText with initial version 1.4.2
Package: conText
Version: 1.4.2
Title: 'a la Carte' on Text (ConText) Embedding Regression
Description: A fast, flexible and transparent framework to estimate context-specific word and short document embeddings using the 'a la carte' embeddings approach developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses about covariate effects on embeddings using the regression framework developed by Rodriguez et al. (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.
License: GPL-3
Depends: R (>= 3.6.0)
Imports: dplyr, Matrix (>= 1.3-2), quanteda (>= 3.0.0), text2vec (>= 0.6), reshape2 (>= 1.4.4), fastDummies (>= 1.6.3), stringr (>= 1.4.0), tidyr (>= 1.1.3), ggplot2, methods
URL: https://github.com/prodriguezsosa/EmbeddingRegression
BugReports: https://github.com/prodriguezsosa/ConText/issues
Maintainer: Pedro L. Rodriguez <pedro.rodriguezsosa@gmail.com>
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Language: en-US
Suggests: SnowballC (>= 0.7.0), hunspell, knitr, rmarkdown, formatR
NeedsCompilation: no
Packaged: 2023-01-13 19:14:29 UTC; prodriguezsosa
Author: Pedro L. Rodriguez [aut, cre, cph] , Arthur Spirling [aut] , Brandon Stewart [aut] , Christopher Barrie [ctb]
Repository: CRAN
Date/Publication: 2023-01-13 23:50:05 UTC

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Package APCtools updated to version 1.0.4 with previous version 1.0.1 dated 2022-01-11

Title: Routines for Descriptive and Model-Based APC Analysis
Description: Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers for long-term developments. The 'APCtools' package offers visualization techniques and general routines to simplify the workflow of an APC analysis. Sophisticated functions are available both for descriptive and regression model-based analyses. For the former, we use density (or ridgeline) matrices and (hexagonally binned) heatmaps as innovative visualization techniques building on the concept of Lexis diagrams. Model-based analyses build on the separation of the temporal dimensions based on generalized additive models, where a tensor product interaction surface (usually between age and period) is utilized to represent the third dimension (usually cohort) on its diagonal. Such tensor product surfaces can also be estimated while accounting for further covariates in the regression model. See Weigert et al. (2021) <doi:10.1177/1354816620987198> for methodological details.
Author: Alexander Bauer [aut, cre] , Maximilian Weigert [aut] , Hawre Jalal [aut]
Maintainer: Alexander Bauer <alexander.bauer@stat.uni-muenchen.de>

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Package growthPheno updated to version 2.1.17 with previous version 2.1.16 dated 2022-11-15

Title: Functional Analysis of Phenotypic Growth Data to Smooth and Extract Traits
Description: Assists in the plotting and functional smoothing of traits measured over time and the extraction of features from these traits, implementing the SET (Smoothing and Extraction of Traits) method described in Brien et al. (2020) Plant Methods, 16. Smoothing of growth trends for individual plants using natural cubic smoothing splines or P-splines is available for removing transient effects and segmented smoothing is available to deal with discontinuities in growth trends. There are graphical tools for assessing the adequacy of trait smoothing, both when using this and other packages, such as those that fit nonlinear growth models. A range of per-unit (plant, pot, plot) growth traits or features can be extracted from the data, including single time points, interval growth rates and other growth statistics, such as maximum growth or days to maximum growth. The package also has tools adapted to inputting data from high-throughput phenotyping facilities, such from a Lemna-Tec Scananalyzer 3D ( [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package ipsecr updated to version 1.4.0 with previous version 1.3.0 dated 2022-09-09

Title: Spatially Explicit Capture-Recapture by Inverse Prediction
Description: Estimates the density of a spatially distributed animal population sampled with an array of passive detectors, such as traps. Models incorporating distance-dependent detection are fitted by simulation and inverse prediction as proposed by Efford (2004) <doi:10.1111/j.0030-1299.2004.13043.x>.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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More information about ipsecr at CRAN
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Package TPmsm updated to version 1.2.7 with previous version 1.2.5 dated 2021-10-15

Title: Estimation of Transition Probabilities in Multistate Models
Description: Estimation of transition probabilities for the illness-death model and or the three-state progressive model.
Author: Artur Araujo [aut, cre] , Javier Roca-Pardinas [aut] , Luis Meira-Machado [aut]
Maintainer: Artur Araujo <artur.stat@gmail.com>

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More information about TPmsm at CRAN
Permanent link

Package tidytable updated to version 0.9.2 with previous version 0.9.1 dated 2022-10-25

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table', giving users the speed of 'data.table' while using tidyverse-like syntax.
Author: Mark Fairbanks [aut, cre], Abdessabour Moutik [ctb], Matt Carlson [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Robert On [ctb], Alexander Sevostianov [ctb], Koen ter Berg [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

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Package poismf updated to version 0.4.0-3 with previous version 0.4.0-2 dated 2022-10-25

Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description: Creates a non-negative low-rank approximate factorization of a sparse counts matrix by maximizing Poisson likelihood with L1/L2 regularization (e.g. for implicit-feedback recommender systems or bag-of-words-based topic modeling) (Cortes, (2018) <arXiv:1811.01908>), which usually leads to very sparse user and item factors (over 90% zero-valued). Similar to hierarchical Poisson factorization (HPF), but follows an optimization-based approach with regularization instead of a hierarchical prior, and is fit through gradient-based methods instead of variational inference.
Author: David Cortes [aut, cre, cph], Jean-Sebastien Roy [cph] , Stephen Nash [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between poismf versions 0.4.0-2 dated 2022-10-25 and 0.4.0-3 dated 2023-01-13

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New package multilevelcoda with initial version 1.0.0
Package: multilevelcoda
Title: Estimate Bayesian Multilevel Models for Compositional Data
Version: 1.0.0
URL: https://florale.github.io/multilevelcoda/, https://github.com/florale/multilevelcoda
BugReports: https://github.com/florale/multilevelcoda/issues
Description: Implement Bayesian Multilevel Modelling for compositional data in a multilevel framework. Compute multilevel compositional data and Isometric log ratio (ILR) at between and within-person levels, fit Bayesian multilevel models for compositional predictors and outcomes, and run post-hoc analyses such as isotemporal substitution models.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, data.table (>= 1.12.0), compositions, zCompositions, bayestestR, brms, extraoperators, ggplot2, emmeans, insight, ggsci, foreach
Suggests: testthat (>= 3.0.0), covr, withr, knitr, rmarkdown, doFuture, lme4
Config/testthat/parallel: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-13 00:09:26 UTC; florale
Author: Flora Le [aut, cre] , Joshua F. Wiley [aut]
Maintainer: Flora Le <13florale@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-13 19:10:02 UTC

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New package emplikAUC with initial version 0.3
Package: emplikAUC
Version: 0.3
Title: Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC
Maintainer: Mai Zhou <maizhou@gmail.com>
Depends: R (>= 3.2.5), emplik2, rootSolve
Imports: stats
Description: Test hypotheses and construct confidence intervals for AUC (area under Receiver Operating Characteristic curve) and pAUC (partial area under ROC curve), from the given two samples of test data with disease/healthy subjects. The method used is based on two sample empirical likelihood, as described in <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.
License: GPL (>= 2)
NeedsCompilation: no
Author: Mai Zhou [aut, cre, cph], Xue Ding [aut]
Packaged: 2023-01-13 04:37:26 UTC; maizh
Repository: CRAN
Date/Publication: 2023-01-13 19:20:02 UTC

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Package reportRmd updated to version 0.0.2 with previous version 0.0.1 dated 2022-10-17

Title: Tidy Presentation of Clinical Reporting
Description: Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Author: Lisa Avery [cre, aut], Ryan Del Bel [aut], Osvaldo Espin-Garcia [aut], Tyler Pittman [aut] , Yanning Wang [ctr], Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>

Diff between reportRmd versions 0.0.1 dated 2022-10-17 and 0.0.2 dated 2023-01-13

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New package qfa with initial version 1.2
Package: qfa
Title: Quantile-Frequency Analysis (QFA) of Time Series
Version: 1.2
Date: 2023-01-06
Maintainer: Ta-Hsin Li <thl@us.ibm.com>
Description: Quantile-frequency analysis (QFA) of univariate or multivariate time series based on the method of trigonometric quantile regression. See Li, T.-H. (2012) "Quantile periodograms", Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>; Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154>; Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra", <doi:10.48550/arXiv.2211.05844>.
Depends: R (>= 3.5)
Imports: RhpcBLASctl, doParallel, fields, foreach, mgcv, nlme, parallel, quantreg, splines, stats, graphics, colorRamps
License: GPL (>= 2)
URL: https://www.r-project.org, https://github.com/IBM/qfa
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2023-01-12 15:10:06 UTC; 991216897
Author: Ta-Hsin Li [cre, aut]
X-CRAN-Comment: Archived on 2014-09-19 as vignette locations were never updated for R 3.1.0.
Repository: CRAN
Date/Publication: 2023-01-13 18:50:07 UTC

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New package gravmagsubs with initial version 1.0.0
Package: gravmagsubs
Title: Gravitational and Magnetic Attraction of 3-D Vertical Rectangular Prisms
Version: 1.0.0
Description: Computes the gravitational and magnetic anomalies generated by 3-D vertical rectangular prisms at specific observation points using the method of Plouff (1976) <doi:10.1190/1.1440645>.
License: CC0
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, fields, ggplot2, gridExtra, scales, scatterplot3d
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-12 16:22:10 UTC; ccronkite-ratcliff
Author: C. Cronkite-Ratcliff [aut, cre] , G. Phelps [aut] , D. Scheirer [aut]
Maintainer: C. Cronkite-Ratcliff <ccronkite-ratcliff@usgs.gov>
Repository: CRAN
Date/Publication: 2023-01-13 19:00:02 UTC

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Package Anthropometry updated to version 1.18 with previous version 1.17 dated 2021-12-09

Title: Statistical Methods for Anthropometric Data
Description: Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the statistical concept of data depth, statistical shape analysis and archetypal analysis. Please see Vinue (2017) <doi:10.18637/jss.v077.i06>.
Author: Guillermo Vinue, Irene Epifanio, Amelia Simo, M. Victoria Ibanez, Juan Domingo, Guillermo Ayala
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between Anthropometry versions 1.17 dated 2021-12-09 and 1.18 dated 2023-01-13

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New package AllelicSeries with initial version 0.0.2.2
Package: AllelicSeries
Title: Allelic Series Test
Version: 0.0.2.2
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2022) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1101/2022.12.23.521658>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: Rcpp, RNOmni, SKAT
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-12 19:20:21 UTC; zmccaw
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>
Repository: CRAN
Date/Publication: 2023-01-13 19:00:05 UTC

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Package parallelly updated to version 1.34.0 with previous version 1.33.0 dated 2022-12-14

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.33.0 dated 2022-12-14 and 1.34.0 dated 2023-01-13

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Package ffstream (with last version 0.1.6) was removed from CRAN

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

2018-05-14 0.1.6
2016-11-22 0.1.5
2016-11-13 0.1.2

Permanent link
Package topr updated to version 1.1.2 with previous version 1.1.1 dated 2022-11-04

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Genuity Science [cph], Thorhildur Juliusdottir [aut, cre], Andri Stefansson [aut]
Maintainer: Thorhildur Juliusdottir <thorhildur@genuitysci.com>

Diff between topr versions 1.1.1 dated 2022-11-04 and 1.1.2 dated 2023-01-13

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Package stickyr updated to version 0.1.1 with previous version 0.1.0 dated 2022-11-07

Title: Data Frames with Persistent Columns and Attributes
Description: Provides data frames that hold certain columns and attributes persistently for data processing in 'dplyr'.
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

Diff between stickyr versions 0.1.0 dated 2022-11-07 and 0.1.1 dated 2023-01-13

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Package SRTsim updated to version 0.99.6 with previous version 0.99.3 dated 2022-11-20

Title: Simulator for Spatially Resolved Transcriptomics
Description: An independent, reproducible, and flexible Spatially Resolved Transcriptomics (SRT) simulation framework that can be used to facilitate the development of SRT analytical methods for a wide variety of SRT-specific analyses. It utilizes spatial localization information to simulate SRT expression count data in a reproducible and scalable fashion. Two major simulation schemes are implemented in 'SRTsim': reference-based and reference-free.
Author: Jiaqiang Zhu [aut, ctb, cre] , Lulu Shang [aut] , Xiang Zhou [aut]
Maintainer: Jiaqiang Zhu <jiaqiang@umich.edu>

Diff between SRTsim versions 0.99.3 dated 2022-11-20 and 0.99.6 dated 2023-01-13

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Package scCustomize updated to version 1.1.1 with previous version 1.1.0 dated 2022-12-23

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430>.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb]
Maintainer: Samuel Marsh <samuel.marsh@childrens.harvard.edu>

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Package profoc updated to version 1.1.0 with previous version 1.0.0 dated 2022-12-23

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

Diff between profoc versions 1.0.0 dated 2022-12-23 and 1.1.0 dated 2023-01-13

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Package RCALI updated to version 0.3.5 with previous version 0.3.4 dated 2022-09-26

Title: Calculation of the Integrated Flow of Particles Between Polygons
Description: Calculate the flow of particles between polygons by two integration methods: integration by a cubature method and integration on a grid of points. Annie Bouvier, Kien Kieu, Kasia Adamczyk and Herve Monod (2009) <doi:10.1016/j.envsoft.2008.11.006>.
Author: Annie Bouvier [aut, cph], Kien Kieu [aut, cph], Kasia Adamczyk [aut, cph], Herve Monod [aut, cph], Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>

Diff between RCALI versions 0.3.4 dated 2022-09-26 and 0.3.5 dated 2023-01-13

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Package pbapply updated to version 1.7-0 with previous version 1.6-0 dated 2022-11-15

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends including future.
Author: Peter Solymos [aut, cre] , Zygmunt Zawadzki [aut], Henrik Bengtsson [ctb], R Core Team [cph, ctb]
Maintainer: Peter Solymos <psolymos@gmail.com>

Diff between pbapply versions 1.6-0 dated 2022-11-15 and 1.7-0 dated 2023-01-13

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Package modEvA updated to version 3.9 with previous version 3.8.4 dated 2022-10-30

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for performing variation partitioning, calculating several measures of model discrimination and calibration, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: Barbosa A.M., Brown J.A., Jimenez-Valverde A., Real R.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between modEvA versions 3.8.4 dated 2022-10-30 and 3.9 dated 2023-01-13

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Package greeks updated to version 0.8.0 with previous version 0.7.0 dated 2022-08-26

Title: Sensitivities of Prices of Financial Options and Implied Volatilites
Description: Methods to calculate sensitivities of financial option prices for European, Asian, American and Digital Options options in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively view plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Greeks for exponential Lévy processes. <arXiv:1603.00920>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 0.7.0 dated 2022-08-26 and 0.8.0 dated 2023-01-13

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Package rbibutils updated to version 2.2.13 with previous version 2.2.12 dated 2023-01-10

Title: Read 'Bibtex' Files and Convert Between Bibliography Formats
Description: Read and write 'Bibtex' files. Convert between bibliography formats, including 'Bibtex', 'Biblatex', 'PubMed', 'Endnote', and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] ), Chris Putman [aut] , Richard Mathar [ctb] , Johannes Wilm [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between rbibutils versions 2.2.12 dated 2023-01-10 and 2.2.13 dated 2023-01-13

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Package mwTensor updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-12

Title: Multi-Way Component Analysis
Description: For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between mwTensor versions 1.0.0 dated 2023-01-12 and 1.0.1 dated 2023-01-13

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Package mSigTools updated to version 1.0.7 with previous version 1.0.5 dated 2022-08-30

Title: Mutational Signature Analysis Tools
Description: Utility functions for mutational signature analysis as described in Alexandrov, L. B. (2020) <doi:10.1038/s41586-020-1943-3>. This package provides two groups of functions. One is for dealing with mutational signature "exposures" (i.e. the counts of mutations in a sample that are due to each mutational signature). The other group of functions is for matching or comparing sets of mutational signatures. 'mSigTools' stands for mutational Signature analysis Tools.
Author: Steven Rozen [aut, cre] , Nanhai Jiang [aut]
Maintainer: Steven Rozen <steverozen@pm.me>

Diff between mSigTools versions 1.0.5 dated 2022-08-30 and 1.0.7 dated 2023-01-13

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New package dblcens with initial version 1.1.9
Package: dblcens
Title: Compute the NPMLE of Distribution Function from Doubly Censored Data, Plus the Empirical Likelihood Ratio for F(T)
Version: 1.1.9
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0)
Description: Doubly censored data, as described in Chang and Yang (1987) <doi: 10.1214/aos/1176350608>), are commonly seen in many fields. We use EM algorithm to compute the non-parametric MLE (NPMLE) of the cummulative probability function/survival function and the two censoring distributions. One can also specify a constraint F(T)=C, it will return the constrained NPMLE and the -2 log empirical likelihood ratio for this constraint. This can be used to test the hypothesis about the constraint and, by inverting the test, find confidence intervals for probability or quantile via empirical likelihood ratio theorem. Influence functions of hat F may also be calculated, but currently, the it may be slow.
Maintainer: Yifan Yang <yfyang.86@hotmail.com>
URL: https://github.com/yfyang86/dblcens/
License: GPL (>= 2)
Repository: CRAN
NeedsCompilation: yes
Date: 2023-1-13 16:00:00
Packaged: 2023-01-13 08:30:18 UTC; yifanyang
Author: Mai Zhou [aut], Li Lee [aut], Kun Chen [aut], Yifan Yang [aut, cre, cph]
Date/Publication: 2023-01-13 13:50:05 UTC

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Package wINEQ updated to version 1.1.1 with previous version 1.0.1 dated 2022-02-11

Title: Inequality Measures for Weighted Data
Description: Computes inequality measures of a given variable taking into account weights. Bootstrap method provides distribution of inequality measures and several additional statistics.
Author: Sebastian Wojcik [aut, cre] , Agnieszka Giemza [aut], Katarzyna Machowska [aut], Jaroslaw Napora [aut]
Maintainer: Sebastian Wojcik <S.Wojcik@stat.gov.pl>

Diff between wINEQ versions 1.0.1 dated 2022-02-11 and 1.1.1 dated 2023-01-13

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Package dodgr updated to version 0.2.19 with previous version 0.2.18 dated 2022-12-07

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Shane Saunders [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between dodgr versions 0.2.18 dated 2022-12-07 and 0.2.19 dated 2023-01-13

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Package bibliometrix updated to version 4.1.0 with previous version 4.0.1 dated 2022-09-16

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 4.0.1 dated 2022-09-16 and 4.1.0 dated 2023-01-13

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 R/bradford.R                                                        |    2 
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Package mlpack updated to version 4.0.1 with previous version 4.0.0 dated 2022-10-28

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2018) <doi:10.21105/joss.00726>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

Diff between mlpack versions 4.0.0 dated 2022-10-28 and 4.0.1 dated 2023-01-13

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 R/lmnn.R                                                 |    4 
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 R/lsh.R                                                  |    4 
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 R/nbc.R                                                  |    4 
 R/nca.R                                                  |    2 
 R/nmf.R                                                  |    6 
 R/pca.R                                                  |    2 
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Package jackknifeR updated to version 1.0.0 with previous version 0.1.1 dated 2022-12-02

Title: Delete-d Jackknife for Point and Interval Estimation
Description: This function creates jackknife samples from the data by sequentially removing d observations from the data, performs estimation using the jackknife samples and calculates the jackknife coefficients, bias, standard error and confidence intervals based on the methodology discussed by Quenouille (1956) <doi:10.2307/2332914>, Tukey (1958) <doi:10.1214/aoms/1177706647> and Shi (1988) <doi:10.1016/0167-7152(88)90011-9>.
Author: S. Mohanasundaram [aut, cre]
Maintainer: S. Mohanasundaram <s.mohanasundaram@outlook.com>

Diff between jackknifeR versions 0.1.1 dated 2022-12-02 and 1.0.0 dated 2023-01-13

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Permanent link

New package scenes with initial version 0.1.0
Package: scenes
Title: Switch Between Alternative 'shiny' UIs
Version: 0.1.0
Description: Sometimes it is useful to serve up alternative 'shiny' UIs depending on information passed in the request object, such as the value of a cookie or a query parameter. This packages facilitates such switches.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/r4ds/scenes, https://r4ds.github.io/scenes/
BugReports: https://github.com/r4ds/scenes/issues
Imports: cli, cookies, glue, purrr, rlang, shiny
Suggests: covr, knitr, pkgload, rmarkdown, stringr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-11 20:29:14 UTC; jonth
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-13 09:30:02 UTC

More information about scenes at CRAN
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New package parquetize with initial version 0.5.0
Package: parquetize
Title: Convert Files to Parquet Format
Version: 0.5.0
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "duckdb", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
License: Apache License (>= 2.0)
Encoding: UTF-8
URL: https://ddotta.github.io/parquetize/, https://github.com/ddotta/parquetize
BugReports: https://github.com/ddotta/parquetize/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: haven, arrow, curl, readr, dplyr, jsonlite, DBI, duckdb, RSQLite, cli
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-12 08:27:18 UTC; AQEW8W
Author: Damien Dotta [aut, cre]
Maintainer: Damien Dotta <damien.dotta@live.fr>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-01-13 09:50:02 UTC

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New package kidsides with initial version 0.4.0
Package: kidsides
Title: Download, Cache, and Connect to KidSIDES
Version: 0.4.0
Maintainer: Nicholas Giangreco <nick.giangreco@gmail.com>
Description: Caches and then connects to a 'sqlite' database containing half a million pediatric drug safety signals. The database is part of a family of resources catalogued at <https://nsides.io>. The database contains 17 tables where the description table provides a map between the fields the field's details. The database was created by Nicholas Giangreco during his PhD thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>. The observations are from the Food and Drug Administration's Adverse Event Reporting System. Generalized additive models estimated drug effects across child development stages for the occurrence of an adverse event when exposed to a drug compared to other drugs. Read more at the methods detailed in Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.
License: CC BY 4.0
Encoding: UTF-8
Imports: DBI, RSQLite, R.utils, tools
Suggests: ggplot2, dbplyr, tidyr, stringr, ggthemes, rlang, ggrepel, scales, pacman, dplyr, rmarkdown, knitr, covr, testthat (>= 3.0.0)
URL: https://github.com/ngiangre/kidsides, https://ngiangre.github.io/kidsides/, https://nsides.io
VignetteBuilder: knitr
Depends: R (>= 4.0)
NeedsCompilation: no
Packaged: 2023-01-11 22:48:21 UTC; nickgiangreco
Author: Nicholas Giangreco [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-01-13 09:40:02 UTC

More information about kidsides at CRAN
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Package hmmTMB updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-11

Title: Fit Hidden Markov Models using Template Model Builder
Description: Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2022) <arXiv:2211.14139>.
Author: Theo Michelot [aut, cre], Richard Glennie [aut, ctb]
Maintainer: Theo Michelot <theo.michelot@dal.ca>

Diff between hmmTMB versions 1.0.0 dated 2023-01-11 and 1.0.1 dated 2023-01-13

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More information about hmmTMB at CRAN
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Package gap updated to version 1.5 with previous version 1.4-2 dated 2023-01-09

Title: Genetic Analysis Package
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao [aut, cre] , Kurt Hornik [ctb], Brian Ripley [ctb], Uwe Liggs [ctb], Achim Zeileis [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

Diff between gap versions 1.4-2 dated 2023-01-09 and 1.5 dated 2023-01-13

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More information about gap at CRAN
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New package Hassani.Silva with initial version 1.0
Package: Hassani.Silva
Title: A Test for Comparing the Predictive Accuracy of Two Sets of Forecasts
Version: 1.0
Date: 2023-01-11
Description: A non-parametric test founded upon the principles of the Kolmogorov-Smirnov (KS) test, referred to as the KS Predictive Accuracy (KSPA) test. The KSPA test is able to serve two distinct purposes. Initially, the test seeks to determine whether there exists a statistically significant difference between the distribution of forecast errors, and secondly it exploits the principles of stochastic dominance to determine whether the forecasts with the lower error also reports a stochastically smaller error than forecasts from a competing model, and thereby enables distinguishing between the predictive accuracy of forecasts. KSPA test has been described in : Hassani and Silva (2015) <doi:10.3390/econometrics3030590>.
License: GPL-3
Depends: stats
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Packaged: 2023-01-12 05:13:17 UTC; ne_da
Author: Hossein Hassani [aut], Emmanuel Sirimal Silva [aut], Leila Marvian Mashhad [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-13 09:50:05 UTC

More information about Hassani.Silva at CRAN
Permanent link

Package galah updated to version 1.5.1 with previous version 1.5.0 dated 2022-10-27

Title: Biodiversity Data from the Living Atlas Community
Description: The living atlas community provides tools to enable users to find, access, combine and visualise data on biodiversity. 'galah' enables the R community to directly access data and resources hosted by the living atlases.
Author: Martin Westgate [aut, cre], Matilda Stevenson [aut], Dax Kellie [aut], Peggy Newman [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

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Package funkyheatmap updated to version 0.2.0 with previous version 0.1.0 dated 2022-11-28

Title: Generating Funky Heatmaps for Data Frames
Description: Allows generating heatmap-like visualisations for benchmark data frames. Funky heatmaps can be fine-tuned by providing annotations of the columns and rows, which allows assigning multiple palettes or geometries or grouping rows and columns together in categories. Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.
Author: Robrecht Cannoodt [aut, cre] , Wouter Saelens [aut]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between funkyheatmap versions 0.1.0 dated 2022-11-28 and 0.2.0 dated 2023-01-13

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Package coxmeg updated to version 1.1.4 with previous version 1.1.2 dated 2023-01-10

Title: Cox Mixed-Effects Models for Genome-Wide Association Studies
Description: Fast algorithms for fitting a Cox mixed-effects model for e.g., genome-wide association studies. See Liang He and Alexander Kulminski (2020) <doi: 10.1534/genetics.119.302940>.
Author: Liang He, Stephanie Gogarten
Maintainer: Liang He <lianghe@health.sdu.dk>

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New package BCClong with initial version 1.0.0
Package: BCClong
Title: Bayesian Consensus Clustering for Multiple Longitudinal Features
Version: 1.0.0
Maintainer: Zhiwen Tan <21zt9@queensu.ca>
Description: It is very common nowadays for a study to collect multiple features and appropriately integrating multiple longitudinal features simultaneously for defining individual clusters becomes increasingly crucial to understanding population heterogeneity and predicting future outcomes. 'BCClong' implements a Bayesian consensus clustering (BCC) model for multiple longitudinal features via a generalized linear mixed model. Compared to existing packages, several key features make the 'BCClong' package appealing: (a) it allows simultaneous clustering of mixed-type (e.g., continuous, discrete and categorical) longitudinal features, (b) it allows each longitudinal feature to be collected from different sources with measurements taken at distinct sets of time points (known as irregularly sampled longitudinal data), (c) it relaxes the assumption that all features have the same clustering structure by estimating the feature-specific (local) clusterings and consensus (global) clustering.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: cluster, coda, ggplot2, graphics, label.switching, LaplacesDemon, lme4, MASS, mclust, MCMCpack, mixAK, mvtnorm, nnet, Rcpp (>= 1.0.9), Rmpfr, stats, truncdist
Suggests: cowplot, joineRML, knitr, rmarkdown, survival, survminer, testthat (>= 3.0.0)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-11 18:13:04 UTC; leo
Author: Zhiwen Tan [aut, cre], Zihang Lu [ctb], Chang Shen [ctb]
Repository: CRAN
Date/Publication: 2023-01-13 09:30:09 UTC

More information about BCClong at CRAN
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Package RPresto updated to version 1.4.2 with previous version 1.4.1 dated 2022-11-15

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Jarod G.R. Meng [aut, cre], Thomas J. Leeper [ctb], John Myles White [ctb]
Maintainer: Jarod G.R. Meng <jarodm@fb.com>

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Package modelbased updated to version 0.8.6 with previous version 0.8.5 dated 2022-08-17

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), used in the computation of marginal means, contrast analysis and predictions.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package mapsFinland updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-12

Title: Maps of Finland
Description: Maps and other related data of Finland.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

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Package gtsummary updated to version 1.7.0 with previous version 1.6.3 dated 2022-12-06

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] , Joseph Larmarange [aut] , Michael Curry [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Esther Drill [ctb] , Jessica Flynn [ctb] , Margie Hannum [ctb] , Stephanie Lobaugh [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Permanent link

Package dae updated to version 3.2-14 with previous version 3.2-13 dated 2021-11-17

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. There is a vignette describing how to use the design functions for randomizing and assessing designs available as a vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'. The package 'dae' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between dae versions 3.2-13 dated 2021-11-17 and 3.2-14 dated 2023-01-13

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More information about dae at CRAN
Permanent link

Package brif updated to version 1.4.0 with previous version 1.2.0 dated 2022-12-01

Title: A Tree and Forest Tool for Classification and Regression
Description: Build decision trees and random forests for classification and regression. The implementation strikes a balance between minimizing computing efforts and maximizing the expected predictive accuracy, thus scales well to large data sets. Multi-threading is available through 'OpenMP' <https://gcc.gnu.org/wiki/openmp>.
Author: Yanchao Liu [aut, cre]
Maintainer: Yanchao Liu <yanchaoliu@wayne.edu>

Diff between brif versions 1.2.0 dated 2022-12-01 and 1.4.0 dated 2023-01-13

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Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.