Sun, 07 Aug 2022

Package LUCIDus updated to version 2.2 with previous version 2.1.5-2 dated 2022-06-01

Title: Latent Unknown Clustering with Integrated Data
Description: An implementation of LUCID model (Peng (2019) <doi:10.1093/bioinformatics/btz667>). LUCID conducts integrated clustering using exposures, omics data (and outcome of interest). An EM algorithm is implemented to estimate MLE of LUCID model. LUCID features integrated variable selection, incorporation of missing omics data, bootstrap inference and visualization via Sankey diagram.
Author: Yinqi Zhao, David V. Conti, Cheng Peng, Zhao Yang
Maintainer: Yinqi Zhao <yinqiz@usc.edu>

Diff between LUCIDus versions 2.1.5-2 dated 2022-06-01 and 2.2 dated 2022-08-07

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More information about LUCIDus at CRAN
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Package TMTI updated to version 1.0.0 with previous version 0.1.0 dated 2021-08-13

Title: 'Too Many, Too Improbable' (TMTI) Test Procedures
Description: Methods for computing joint tests, controlling the Familywise Error Rate (FWER) and getting lower bounds on the number of false hypotheses in a set. The methods implemented here are described in Mogensen and Markussen (2021) <arXiv:2108.04731>.
Author: Phillip B. Mogensen
Maintainer: Phillip B. Mogensen <pbm@math.ku.dk>

Diff between TMTI versions 0.1.0 dated 2021-08-13 and 1.0.0 dated 2022-08-07

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Package Renvlp updated to version 3.2 with previous version 3.1 dated 2022-05-13

Title: Computing Envelope Estimators
Description: Provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. This package implements response envelopes, partial response envelopes, envelopes in the predictor space, heteroscedastic envelopes, simultaneous envelopes, scaled response envelopes, scaled envelopes in the predictor space, groupwise envelopes, weighted envelopes, envelopes in logistic regression, envelopes in Poisson regression and envelopes in function-on-function linear regression. For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included except for weighted envelopes. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016) <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise coordinate descent algorithm.
Author: Minji Lee, Zhihua Su
Maintainer: Minji Lee <minjilee101@gmail.com>

Diff between Renvlp versions 3.1 dated 2022-05-13 and 3.2 dated 2022-08-07

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Package RCDT updated to version 1.2.0 with previous version 1.1.0 dated 2022-04-06

Title: Fast 2D Constrained Delaunay Triangulation
Description: Performs 2D Delaunay triangulation, constrained or unconstrained, with the help of the C++ library 'CDT'. A function to plot the triangulation is provided. The constrained Delaunay triangulation has applications in geographic information systems.
Author: Stephane Laurent [aut, cre], Artem Amirkhanov [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between RCDT versions 1.1.0 dated 2022-04-06 and 1.2.0 dated 2022-08-07

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Package liver updated to version 1.13 with previous version 1.12 dated 2022-05-06

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between liver versions 1.12 dated 2022-05-06 and 1.13 dated 2022-08-07

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Package Greg updated to version 1.4.1 with previous version 1.4.0 dated 2021-11-23

Title: Regression Helper Functions
Description: Methods for manipulating regression models and for describing these in a style adapted for medical journals. Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots. In addition to the descriptive methods, there are add-ons for the robust covariance matrix provided by the 'sandwich' package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for time-splitting a dataset when modeling non-proportional hazards in Cox regressions.
Author: Max Gordon [aut, cre], Reinhard Seifert [aut]
Maintainer: Max Gordon <max@gforge.se>

Diff between Greg versions 1.4.0 dated 2021-11-23 and 1.4.1 dated 2022-08-07

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Package shinyWidgets updated to version 0.7.2 with previous version 0.7.1 dated 2022-07-13

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package asciicast updated to version 2.1.0 with previous version 2.0.0 dated 2022-07-14

Title: Create 'Ascii' Screen Casts from R Scripts
Description: Record 'asciicast' screen casts from R scripts. Convert them to animated SVG images, to be used in 'README' files, or blog posts. Includes 'asciinema-player' as an 'HTML' widget, and an 'asciicast' 'knitr' engine, to embed 'ascii' screen casts in 'Rmarkdown' documents.
Author: Gabor Csardi [aut, cre], Romain Francois [aut], Mario Nebl [aut] , Marcin Kulik [aut]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between asciicast versions 2.0.0 dated 2022-07-14 and 2.1.0 dated 2022-08-07

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Package spnaf updated to version 0.2.0 with previous version 0.1.0 dated 2022-03-23

Title: Spatial Network Autocorrelation for Flow Data
Description: Identify statistically significant flow clusters using the local spatial network autocorrelation statistic G_ij* proposed by 'Berglund' and 'Karlström' (1999) <doi:10.1007/s101090050013>. The metric, an extended statistic of 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>, detects a group of flows having similar traits in terms of directionality. You provide OD data and the associated polygon to get results with several parameters, some of which are defined by spdep package.
Author: Youngbin Lee [aut, cre] , Hui Jeong Ha [aut] , Sohyun Park [aut] , Kyusik Kim [aut] , Jinhyung Lee [aut]
Maintainer: Youngbin Lee <youngbin@snu.ac.kr>

Diff between spnaf versions 0.1.0 dated 2022-03-23 and 0.2.0 dated 2022-08-07

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Package sarp.snowprofile.alignment updated to version 1.2.1 with previous version 1.1.4 dated 2022-02-10

Title: Snow Profile Alignment, Aggregation, and Clustering
Description: Snow profiles describe the vertical (1D) stratigraphy of layered snow with different layer characteristics, such as grain type, hardness, deposition date, and many more. Hence, they represent a data format similar to multivariate time series containing categorical, ordinal, and numerical data types. Use this package to align snow profiles by matching their individual layers based on Dynamic Time Warping (DTW). The aligned profiles can then be assessed with an independent, global similarity measure that is geared towards avalanche hazard assessment. Finally, through exploiting data aggregation and clustering methods, the similarity measure provides the foundation for grouping and summarizing snow profiles according to similar hazard conditions. In particular, this package allows for averaging large numbers of snow profiles with DTW Barycenter Averaging and thereby facilitates the computation of individual layer distributions and summary statistics that are relevant for avalanche forecasting purposes. For more background information refer to Herla, Horton, Mair, and Haegeli (2021) <doi:10.5194/gmd-14-239-2021>, and Herla, Mair, and Haegeli (2022) <doi:10.5194/tc-16-3149-2022>.
Author: Florian Herla [aut, cre], Pascal Haegeli [aut], Simon Horton [aut], Paul Billecocq [aut], SFU Avalanche Research Program [fnd]
Maintainer: Florian Herla <fherla@sfu.ca>

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More information about sarp.snowprofile.alignment at CRAN
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New package dbstats with initial version 2.0.0
Package: dbstats
Title: Distance-Based Statistics
Version: 2.0.0
Date: 2022-07-26
Author: Boj, Eva <evaboj@ub.edu>, Caballe, Adria <adria.caballe@irb.barcelona.org>, Delicado, Pedro <pedro.delicado@upc.edu> and Fortiana, Josep <fortiana@ub.edu>.
Maintainer: Eva Boj del Val <evaboj@ub.edu>
Description: Prediction methods where explanatory information is coded as a matrix of distances between individuals. Distances can either be directly input as a distances matrix, a squared distances matrix, an inner-products matrix or computed from observed predictors.
License: GPL-2
Repository: CRAN
Depends: R (>= 4.0.0), cluster, pls
Suggests: proxy
NeedsCompilation: no
Packaged: 2022-07-27 09:23:12 UTC; Eva
Date/Publication: 2022-08-07 17:20:09 UTC

More information about dbstats at CRAN
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Package RApiSerialize updated to version 0.1.1 with previous version 0.1.0 dated 2014-04-19

Title: R API Serialization
Description: Access to the internal R serialization code is provided for use by other packages at the C function level by using the registration of native function mechanism. Client packages simply include a single header file RApiSerializeAPI.h provided by this package. This packages builds on the Rhpc package by Ei-ji Nakama and Junji Nakano which also includes a (partial) copy of the file src/main/serialize.c from R itself. The R Core group is the original author of the serialization code made available by this package.
Author: Dirk Eddelbuettel, Ei-ji Nakama, Junji Nakano, and R Core
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RApiSerialize versions 0.1.0 dated 2014-04-19 and 0.1.1 dated 2022-08-07

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Package owidR updated to version 1.3.1 with previous version 1.3.0 dated 2022-07-14

Title: A Package for Importing Data from Our World in Data
Description: Imports data from the Our World in Data website, offering easy to use functions for searching for datasets, downloading them into R and visualising them.
Author: Piers York
Maintainer: Piers York <piersyork@gmail.com>

Diff between owidR versions 1.3.0 dated 2022-07-14 and 1.3.1 dated 2022-08-07

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More information about owidR at CRAN
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New package CopulaREMADA with initial version 1.5.1
Package: CopulaREMADA
Version: 1.5.1
Date: 2022-07-29
Title: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
Author: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Depends: R (>= 2.10), statmod, matlab, tensor, mc2d
Description: The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The one-factor copula mixed model for joint meta-analysis of multiple diagnostic tests (2022) <doi:10.1111/rssa.12838>.
License: GPL (>= 2.10)
Packaged: 2022-07-29 08:45:30 UTC; aris
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2022-08-07 16:10:04 UTC

More information about CopulaREMADA at CRAN
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Package terra updated to version 1.6-7 with previous version 1.6-3 dated 2022-07-25

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Karl Forner [ctb], Jeroen Ooms [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.6-3 dated 2022-07-25 and 1.6-7 dated 2022-08-07

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Package spam updated to version 2.9-1 with previous version 2.9-0 dated 2022-07-11

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , Lehoucq B. Rich [ctb] [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam versions 2.9-0 dated 2022-07-11 and 2.9-1 dated 2022-08-07

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Package robustlmm updated to version 3.0-1 with previous version 2.5-1 dated 2022-03-22

Title: Robust Linear Mixed Effects Models
Description: Implements the Robust Scoring Equations estimator to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach. Includes some references to the archived packages 'robustvarComp' and 'heavy'. Both packages are only needed to reproduce a simulation study and are not required for the running of the regular package functions. You can install both packages by downloading the latest version from the CRAN archive.
Author: Manuel Koller
Maintainer: Manuel Koller <kollerma@proton.me>

Diff between robustlmm versions 2.5-1 dated 2022-03-22 and 3.0-1 dated 2022-08-07

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Package ptm updated to version 0.2.6 with previous version 0.2.5 dated 2022-02-14

Title: Analyses of Protein Post-Translational Modifications
Description: Contains utilities for the analysis of post-translational modifications (PTMs) in proteins, with particular emphasis on the sulfoxidation of methionine residues. Features include the ability to download, filter and analyze data from the sulfoxidation database 'MetOSite', and integrate data from other main PTMs (other databases). Utilities to search and characterize S-aromatic motifs in proteins are also provided. In addition, functions to analyze sequence environments around modifiable residues in proteins can be found. For instance, 'ptm' allows to search for amino acids either overrepresented or avoided around the modifiable residues from the proteins of interest. Functions tailored to test statistical hypothesis related to these differential sequence environments are also implemented. A number of utilities to assess the effect of the modification/mutation of a given residue on the protein stability, have also been included in this package. Further and detailed information regarding the methods in this package can be found in (Aledo (2020) <https://metositeptm.com>).
Author: Juan Carlos Aledo [aut, cre]
Maintainer: Juan Carlos Aledo <caledo@uma.es>

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Package lagged updated to version 0.3.2 with previous version 0.3-1 dated 2021-12-05

Title: Classes and Methods for Lagged Objects
Description: Provides classes and methods for objects, whose indexing naturally starts from zero. Subsetting, indexing and mathematical operations are defined naturally between lagged objects and lagged and base R objects. Recycling is not used, except for singletons. The single bracket operator doesn't drop dimensions by default.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package datawizard updated to version 0.5.0 with previous version 0.4.1 dated 2022-05-16

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
Author: Indrajeet Patil [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Etienne Bacher [aut]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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New package brunnermunzel with initial version 2.0
Package: brunnermunzel
Title: (Permuted) Brunner-Munzel Test
Version: 2.0
Date: 2022-8-7
License: GPL-2 | GPL-3
Description: Provides the functions for Brunner-Munzel test and permuted Brunner-Munzel test, which enable to use formula, matrix, and table as argument. These functions are based on Brunner and Munzel (2000) <doi:10.1002/(SICI)1521-4036(200001)42:1%3C17::AID-BIMJ17%3E3.0.CO;2-U> and Neubert and Brunner (2007) <doi:10.1016/j.csda.2006.05.024>, and are written with FORTRAN.
URL: https://github.com/toshi-ara/brunnermunzel
BugReports: https://github.com/toshi-ara/brunnermunzel/issues/
Suggests: testthat, knitr, rmarkdown, dplyr, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-08-07 10:59:11 UTC; ara
Author: Toshiaki Ara [aut, cre]
Maintainer: Toshiaki Ara <toshiaki.ara@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-07 15:40:11 UTC

More information about brunnermunzel at CRAN
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Package opa updated to version 0.5.2 with previous version 0.4.3 dated 2022-07-11

Title: An Implementation of Ordinal Pattern Analysis
Description: Quantifies hypothesis to data fit for repeated measures and longitudinal data, as described by Thorngate (1987) <doi:10.1016/S0166-4115(08)60083-7> and Grice et al., (2015) <doi:10.1177/2158244015604192>. Hypothesis and data are encoded as pairwise relative orderings which are then compared to determine the percentage of orderings in the data that are matched by the hypothesis.
Author: Timothy Beechey [aut, cre]
Maintainer: Timothy Beechey <tim.beechey@proton.me>

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Package nleqslv updated to version 3.3.3 with previous version 3.3.2 dated 2018-05-17

Title: Solve Systems of Nonlinear Equations
Description: Solve a system of nonlinear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian, for specifying a banded numerical Jacobian and for allowing a singular or ill-conditioned Jacobian.
Author: Berend Hasselman
Maintainer: Berend Hasselman <bhh@xs4all.nl>

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Package DiPs updated to version 0.6.4 with previous version 0.6.3 dated 2022-05-31

Title: Directional Penalties for Optimal Matching in Observational Studies
Description: Improves the balance of optimal matching with near-fine balance by giving penalties on the unbalanced covariates with the unbalanced directions. Many directional penalties can also be viewed as Lagrange multipliers, pushing a matched sample in the direction of satisfying a linear constraint that would not be satisfied without penalization. Yu and Rosenbaum (2019) <doi:10.1111/biom.13098>.
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu125@gmail.com>

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Package dibble updated to version 0.2.1 with previous version 0.2.0 dated 2022-05-29

Title: Dimensional Data Frames
Description: Provides a 'dibble' that implements data cubes (derived from 'dimensional tibble'), and allows broadcasting by dimensional names.
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

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Package biogeom updated to version 1.0.9 with previous version 1.0.7 dated 2022-07-16

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. 'biogeom' can quantify the conspecific or interspecific similarity of natural outlines, and provides information with important ecological and evolutionary implications for the growth and form of living organisms. Please see Shi et al. (2022) <doi:10.1111/nyas.14862> for details.
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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Package aRchi updated to version 2.1.2 with previous version 2.1.0 dated 2022-04-12

Title: Quantitative Structural Model ('QSM') Treatment for Tree Architecture
Description: Provides a set of tools to make quantitative structural model of trees (i.e the so-called 'QSM') from LiDAR point cloud, to manipulate and visualize the QSMs as well as to compute metrics from them. It can be used in various context of forest ecology (i.e biomass estimation) and tree architecture (i.e architectural metrics), see Martin-Ducup et al. (2020) <doi:10.1111/1365-2435.13678>. The package is based on a new S4 class called 'aRchi'.
Author: Olivier Martin and Bastien Lecigne
Maintainer: Olivier Martin <oli.martin@ntymail.com>

Diff between aRchi versions 2.1.0 dated 2022-04-12 and 2.1.2 dated 2022-08-07

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Package odns updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-28

Title: Access Scottish Health and Social Care Open Data
Description: Allows potential users of Scottish Health and Social Care Open Data (<https://www.opendata.nhs.scot/>) to easily explore and extract the available data.
Author: James Hardy [aut, cre]
Maintainer: James Hardy <jrh-dev@protonmail.com>

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Package healthyR.ts updated to version 0.2.2 with previous version 0.2.1 dated 2022-07-19

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package tram updated to version 0.7-2 with previous version 0.7-1 dated 2022-05-18

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <arxiv:1910.09219>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) can be fitted as well.
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Sandra Siegfried [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package ggeffects updated to version 1.1.3 with previous version 1.1.2 dated 2022-04-10

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package gert updated to version 1.7.0 with previous version 1.6.0 dated 2022-03-29

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package V8 updated to version 4.2.1 with previous version 4.2.0 dated 2022-05-14

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package StableEstim updated to version 2.2 with previous version 2.1 dated 2016-07-26

Title: Estimate the Four Parameters of Stable Laws using Different Methods
Description: Estimate the four parameters of stable laws using maximum likelihood method, generalised method of moments with finite and continuum number of points, iterative Koutrouvelis regression and Kogon-McCulloch method. The asymptotic properties of the estimators (covariance matrix, confidence intervals) are also provided.
Author: Tarak Kharrat [aut], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between StableEstim versions 2.1 dated 2016-07-26 and 2.2 dated 2022-08-07

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Package sae.prop updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-16

Title: Small Area Estimation using Fay-Herriot Models with Additive Logistic Transformation
Description: Implements Additive Logistic Transformation (alr) for Small Area Estimation under Fay Herriot Model. Small Area Estimation is used to borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. This package uses Empirical Best Linear Unbiased Prediction (EBLUP). The Additive Logistic Transformation (alr) are based on transformation by Aitchison J (1986). The covariance matrix for multivariate application is based on covariance matrix used by Esteban M, Lombardía M, López-Vizcaíno E, Morales D, and Pérez A <doi:10.1007/s11749-019-00688-w>. The non-sampled models are modified area-level models based on models proposed by Anisa R, Kurnia A, and Indahwati I <doi:10.9790/5728-10121519>, with univariate model using model-3, and multivariate model using model-1. The MSE are estimated using Parametric Bootstrap approach. For non-sampled cases, MSE are estimated using modified approach proposed by Haris F and Ubaidillah A <doi:10.4108/eai.2-8-2019.2290339>.
Author: M. Rijalus Sholihin [aut, cre], Cucu Sumarni [aut]
Maintainer: M. Rijalus Sholihin <221810400@stis.ac.id>

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Package multcomp updated to version 1.4-20 with previous version 1.4-19 dated 2022-04-26

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package forestploter updated to version 0.1.7 with previous version 0.1.6 dated 2022-06-23

Title: Create Flexible Forest Plot
Description: Create forest plot based on the layout of the data. Confidence interval in multiple columns by groups can be done easily. Editing plot, inserting/adding text, applying theme to the plot and much more.
Author: Alimu Dayimu [aut, cre]
Maintainer: Alimu Dayimu <ad938@cam.ac.uk>

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Package file2meco updated to version 0.4.0 with previous version 0.3.0 dated 2022-06-07

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between file2meco versions 0.3.0 dated 2022-06-07 and 0.4.0 dated 2022-08-07

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Package kernelboot (with last version 0.1.7) was removed from CRAN

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

2020-02-13 0.1.7
2019-11-07 0.1.6
2018-07-04 0.1.5
2018-02-18 0.1.4
2017-12-18 0.1.3
2017-09-20 0.1.2
2017-06-05 0.1.1
2017-04-20 0.1.0

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Package qPCRtools updated to version 0.2.0 with previous version 0.1.1 dated 2022-07-03

Title: Tools for qPCR
Description: RT-qPCR is a widely used method to detect the expression level of genes in biological research. A crucial step in processing qPCR data is to calculate the amplification efficiency of genes to determine which method should be used to calculate expression level of genes. This Package can do it easily. In addition to that, this package can calculate the expression level of genes based on three methods.
Author: Xiang LI [cre, aut]
Maintainer: Xiang LI <lixiang117423@gmail.com>

Diff between qPCRtools versions 0.1.1 dated 2022-07-03 and 0.2.0 dated 2022-08-07

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Package SNPannotator updated to version 0.2.4.0 with previous version 0.2.2.0 dated 2022-04-28

Title: Investigating the Functional Characteristics of Selected SNPs and Their Vicinity Genomic Region
Description: To investigate the functional characteristics of selected SNPs and their vicinity genomic region. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.
Author: Alireza Ani [aut, cre], Zoha Kamali [aut], Ahmad Vaez [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

Diff between SNPannotator versions 0.2.2.0 dated 2022-04-28 and 0.2.4.0 dated 2022-08-07

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Package sjPlot updated to version 2.8.11 with previous version 2.8.10 dated 2021-11-26

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Luedecke [aut, cre] , Alexander Bartel [ctb] , Carsten Schwemmer [ctb], Chuck Powell [ctb] , Amir Djalovski [ctb], Johannes Titz [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package stdmod updated to version 0.1.7.4 with previous version 0.1.7.1 dated 2022-05-11

Title: Standardized Moderation Effect and Its Confidence Interval
Description: Functions for computing a standardized moderation effect in moderated regression and forming its confidence interval by nonparametric bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Also includes simple-to-use functions for computing conditional effects (unstandardized or standardized) and plotting moderation effects.
Author: Shu Fai Cheung [aut, cre] , David Weng Ngai Vong [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package sgsR updated to version 1.2.0 with previous version 1.0.0 dated 2022-06-24

Title: Structurally Guided Sampling
Description: Structurally guided sampling (SGS) approaches for airborne laser scanning (ALS; LIDAR). Primary functions provide means to generate data-driven stratifications & methods for allocating samples. Intermediate functions for calculating and extracting important information about input covariates and samples are also included. Processing outcomes are intended to help forest and environmental management practitioners better optimize field sample placement as well as assess and augment existing sample networks in the context of data distributions and conditions. ALS data is the primary intended use case, however any rasterized remote sensing data can be used, enabling data-driven stratifications and sampling approaches.
Author: Tristan RH Goodbody [aut, cre, cph] , Nicholas C Coops [aut] , Martin Queinnec [aut]
Maintainer: Tristan RH Goodbody <goodbody.t@gmail.com>

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Package rclipboard updated to version 0.1.6 with previous version 0.1.5 dated 2022-02-02

Title: Shiny/R Wrapper for 'clipboard.js'
Description: Leverages the functionality of 'clipboard.js', a JavaScript library for HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com> for more information), and provides a reactive copy-to-clipboard UI button component, called 'rclipButton', and a a reactive copy-to-clipboard UI link component, called 'rclipLink', for 'shiny' R applications.
Author: Sebastien Bihorel
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>

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Package humanFormat updated to version 1.2 with previous version 1.0 dated 2013-11-25

Title: Human-Friendly Formatting Functions
Description: Format quantities of time or bytes into human-friendly strings.
Author: Dustin Sallings
Maintainer: Dustin Sallings <dustin@spy.net>

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Package geodata updated to version 0.4-9 with previous version 0.4-6 dated 2022-04-09

Title: Download Geographic Data
Description: Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Author: Robert J. Hijmans [cre, aut], Aniruddha Ghosh [ctb], Alex Mandel [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package censReg updated to version 0.5-36 with previous version 0.5-34 dated 2022-02-28

Title: Censored Regression (Tobit) Models
Description: Maximum Likelihood estimation of censored regression (Tobit) models with cross-sectional and panel data.
Author: Arne Henningsen <arne.henningsen@gmail.com>
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package binsegRcpp updated to version 2022.7.21 with previous version 2022.7.19 dated 2022-07-20

Title: Efficient Implementation of Binary Segmentation
Description: Standard template library containers are used to implement an efficient binary segmentation algorithm, which is log-linear on average and quadratic in the worst case.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between binsegRcpp versions 2022.7.19 dated 2022-07-20 and 2022.7.21 dated 2022-08-07

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