Wed, 09 Apr 2025

Package tomledit updated to version 0.1.1 with previous version 0.1.0 dated 2025-02-13

Title: Parse, Read, and Edit 'TOML'
Description: A toolkit for working with 'TOML' files in R while preserving formatting, comments, and structure. 'tomledit' enables serialization of R objects such as lists, data.frames, numeric, logical, and date vectors.
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>

Diff between tomledit versions 0.1.0 dated 2025-02-13 and 0.1.1 dated 2025-04-09

 DESCRIPTION             |   12 +++++---
 MD5                     |   37 ++++++++++++++------------
 NEWS.md                 |only
 R/modify.R              |    2 -
 R/toml.R                |    4 +-
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 man/tomledit-package.Rd |    4 ++
 src/Makevars.in         |   14 +++++-----
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 src/rust/Cargo.lock     |   67 +++++++++++++++++++++++++++---------------------
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 src/rust/vendor.tar.xz  |binary
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 21 files changed, 138 insertions(+), 135 deletions(-)

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Package FPCdpca updated to version 0.2.0 with previous version 0.1.0 dated 2024-05-27

Title: The FPCdpca Criterion on Distributed Principal Component Analysis
Description: We consider optimal subset selection in the setting that one needs to use only one data subset to represent the whole data set with minimum information loss, and devise a novel intersection-based criterion on selecting optimal subset, called as the FPC criterion, to handle with the optimal sub-estimator in distributed principal component analysis; That is, the FPCdpca. The philosophy of the package is described in Guo G. (2025) <doi:10.1016/j.physa.2024.130308>.
Author: Guangbao Guo [aut, cre] , Jiarui Li [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between FPCdpca versions 0.1.0 dated 2024-05-27 and 0.2.0 dated 2025-04-09

 DESCRIPTION           |   23 +++++++----
 MD5                   |   38 +++++++++++--------
 NAMESPACE             |   26 ++++++-------
 R/Depca.R             |   90 +++++++++++++++++++++++----------------------
 R/Dpca.R              |   40 ++++++++++++++------
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 21 files changed, 434 insertions(+), 340 deletions(-)

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Package rjaf updated to version 0.1.3 with previous version 0.1.2 dated 2025-02-16

Title: Regularized Joint Assignment Forest with Treatment Arm Clustering
Description: Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi:10.48550/arXiv.2311.00577>. The algorithm pools information across treatment arms: it considers a regularized forest-based assignment algorithm based on greedy recursive partitioning that shrinks effect estimates across arms; and it incorporates a clustering scheme that combines treatment arms with consistently similar outcomes.
Author: Wenbo Wu [aut, cph] , Xinyi Zhang [aut, cre, cph] , Jann Spiess [aut, cph] , Rahul Ladhania [aut, cph]
Maintainer: Xinyi Zhang <zhang.xinyi@nyu.edu>

Diff between rjaf versions 0.1.2 dated 2025-02-16 and 0.1.3 dated 2025-04-09

 DESCRIPTION                |    6 +++---
 MD5                        |   14 +++++++-------
 R/RcppExports.R            |    4 ++--
 R/rjaf.R                   |   41 ++++++++++++++++++++++++-----------------
 man/rjaf.Rd                |   16 +++++++++-------
 src/RcppExports.cpp        |   10 ++++------
 src/rjaf.cpp               |   14 ++------------
 tests/testthat/test-rjaf.R |    4 ++--
 8 files changed, 53 insertions(+), 56 deletions(-)

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Package ip2locationio updated to version 1.1.0 with previous version 1.0.0 dated 2024-10-31

Title: Lookup Geolocation and Proxy Information using 'IP2Location.io' API
Description: Query for enriched data such as country, region, city, latitude & longitude, ZIP code, time zone, Autonomous System, Internet Service Provider, domain, net speed, International direct dialing (IDD) code, area code, weather station data, mobile data, elevation, usage type, address type, advertisement category, fraud score, and proxy data with an IP address. You can also query a list of hosted domain names for the IP address too. This package uses the 'IP2Location.io' API to query this data. To get started with a free API key, sign up here <https://www.ip2location.io/sign-up?ref=1>.
Author: IP2Location.io [aut, cre]
Maintainer: IP2Location.io <support@ip2location.io>

Diff between ip2locationio versions 1.0.0 dated 2024-10-31 and 1.1.0 dated 2025-04-09

 DESCRIPTION               |    8 ++++----
 MD5                       |    7 ++++---
 NAMESPACE                 |    1 +
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 5 files changed, 38 insertions(+), 7 deletions(-)

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Package epiR updated to version 2.0.81 with previous version 2.0.80 dated 2025-01-30

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson [aut, cre] , Evan Sergeant [aut], Cord Heuer [ctb], Telmo Nunes [ctb], Cord Heuer [ctb], Jonathon Marshall [ctb], Javier Sanchez [ctb], Ron Thornton [ctb], Jeno Reiczigel [ctb], Jim Robison-Cox [ctb], Paola Sebastiani [ctb], Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

Diff between epiR versions 2.0.80 dated 2025-01-30 and 2.0.81 dated 2025-04-09

 DESCRIPTION                                |    8 -
 MD5                                        |   14 +--
 NEWS                                       |    9 +-
 inst/doc/epiR_descriptive.html             |   16 +--
 inst/doc/epiR_measures_of_association.html |   12 +-
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 man/epi.edr.Rd                             |  127 +++++++++++++++--------------
 8 files changed, 110 insertions(+), 94 deletions(-)

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Package VisCov updated to version 1.6.0 with previous version 1.5.0 dated 2024-12-04

Title: Visualizing of Distributions of Covariance Matrices
Description: Visualizing of distributions of covariance matrices. The package implements the methodology described in Tokuda, T., Goodrich, B., Van Mechelen, I., Gelman, A., & Tuerlinckx, F. (2012) <https://sites.stat.columbia.edu/gelman/research/unpublished/Visualization.pdf>.
Author: Tomoki Tokuda [aut], Ben Goodrich [ctb], Iven Van Mechelen [ctb], Andrew Gelman [ctb], Francis Tuerlinckx [ctb], Kristof Meers [cre]
Maintainer: Kristof Meers <kristof.meers+cran@kuleuven.be>

Diff between VisCov versions 1.5.0 dated 2024-12-04 and 1.6.0 dated 2025-04-09

 DESCRIPTION   |    8 ++++----
 MD5           |    7 ++++---
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 R/VisCov.R    |   16 +++++++++++++++-
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 5 files changed, 24 insertions(+), 9 deletions(-)

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Package TreeSearch updated to version 1.6.0 with previous version 1.5.1 dated 2024-05-23

Title: Phylogenetic Analysis with Discrete Character Data
Description: Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083> with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) <doi:10.1093/sysbio/syab099>, <doi:10.1093/sysbio/syab100>. Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, Successive Approximations (Farris, 1969) <doi:10.2307/2412182> and custom optimality criteria are implemented.
Author: Martin R. Smith [aut, cre, cph] , Martin Brazeau [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeSearch versions 1.5.1 dated 2024-05-23 and 1.6.0 dated 2025-04-09

 TreeSearch-1.5.1/TreeSearch/R/mpl_visualise.R                                            |only
 TreeSearch-1.6.0/TreeSearch/DESCRIPTION                                                  |   10 
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 TreeSearch-1.6.0/TreeSearch/NAMESPACE                                                    |  437 
 TreeSearch-1.6.0/TreeSearch/NEWS.md                                                      |  634 
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 TreeSearch-1.6.0/TreeSearch/R/IWScore.R                                                  |   29 
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 TreeSearch-1.6.0/TreeSearch/R/MaximizeParsimony.R                                        | 1937 +-
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Package EGAnet updated to version 2.3.0 with previous version 2.2.0 dated 2025-03-07

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

Diff between EGAnet versions 2.2.0 dated 2025-03-07 and 2.3.0 dated 2025-04-09

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Package cartogramR updated to version 1.5-0 with previous version 1.2-0 dated 2024-09-03

Title: Continuous Cartogram
Description: Procedures for making continuous cartogram. Procedures available are: flow based cartogram (Gastner & Newman (2004) <doi:10.1073/pnas.0400280101>), fast flow based cartogram (Gastner, Seguy & More (2018) <doi:10.1073/pnas.1712674115>), rubber band based cartogram (Dougenik et al. (1985) <doi:10.1111/j.0033-0124.1985.00075.x>).
Author: Pierre-Andre Cornillon [aut, cre], Florent Demoraes [aut], Flow-Based-Cartograms [cph]
Maintainer: Pierre-Andre Cornillon <pierre-andre.cornillon@univ-rennes2.fr>

Diff between cartogramR versions 1.2-0 dated 2024-09-03 and 1.5-0 dated 2025-04-09

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Package watcher updated to version 0.1.3 with previous version 0.1.2 dated 2025-02-25

Title: Watch the File System for Changes
Description: R binding for 'libfswatch', a file system monitoring library. Watch files, or directories recursively, for changes in the background. Log activity, or run an R function every time a change event occurs.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between watcher versions 0.1.2 dated 2025-02-25 and 0.1.3 dated 2025-04-09

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Package quickcode updated to version 1.0.7 with previous version 1.0.6 dated 2025-03-02

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

Diff between quickcode versions 1.0.6 dated 2025-03-02 and 1.0.7 dated 2025-04-09

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Package mtsdi updated to version 0.3.7 with previous version 0.3.5 dated 2018-01-23

Title: Multivariate Time Series Data Imputation
Description: This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a non-parametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.
Author: Washington Junger [aut, cre], Antonio Ponce de Leon [ctb]
Maintainer: Washington Junger <wjunger@ims.uerj.br>

Diff between mtsdi versions 0.3.5 dated 2018-01-23 and 0.3.7 dated 2025-04-09

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Package mortAAR updated to version 1.1.8 with previous version 1.1.7 dated 2025-01-12

Title: Analysis of Archaeological Mortality Data
Description: A collection of functions for the analysis of archaeological mortality data (on the topic see e.g. Chamberlain 2006 <https://books.google.de/books?id=nG5FoO_becAC&lpg=PA27&ots=LG0b_xrx6O&dq=life%20table%20archaeology&pg=PA27#v=onepage&q&f=false>). It takes demographic data in different formats and displays the result in a standard life table as well as plots the relevant indices (percentage of deaths, survivorship, probability of death, life expectancy, percentage of population). It also checks for possible biases in the age structure and applies corrections to life tables.
Author: Nils Mueller-Scheessel [aut, cre, cph] , Martin Hinz [aut], Clemens Schmid [aut], Christoph Rinne [aut], Daniel Knitter [aut], Wolfgang Hamer [aut], Dirk Seidensticker [aut], Franziska Faupel [aut], Carolin Tietze [aut], Nicole Grunert [aut]
Maintainer: Nils Mueller-Scheessel <nils.mueller-scheessel@ufg.uni-kiel.de>

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Package homomorpheR updated to version 0.3 with previous version 0.2-2 dated 2019-01-23

Title: Homomorphic Computations in R
Description: Homomorphic computations in R for privacy-preserving applications. Currently only the Paillier Scheme is implemented.
Author: Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stat.Stanford.EDU>

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Package qPRAentry updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-17

Title: Quantitative Pest Risk Assessment at the Entry Step
Description: Supports risk assessors in performing the entry step of the quantitative Pest Risk Assessment. It allows the estimation of the amount of a plant pest entering a risk assessment area (in terms of founder populations) through the calculation of the imported commodities that could be potential pathways of pest entry, and the development of a pathway model. Two 'Shiny' apps based on the functionalities of the package are included, that simplify the process of assessing the risk of entry of plant pests. The approach is based on the work of the European Food Safety Authority (EFSA PLH Panel et al., 2018) <doi:10.2903/j.efsa.2018.5350>.
Author: Martina Cendoya [aut, cre] , Maria Chiara Rosace [aut]
Maintainer: Martina Cendoya <cendoya_marmar@gva.es>

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Package naijR updated to version 0.6.2 with previous version 0.6.1 dated 2024-10-10

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] , Laura DeCicco [ctb], Emily Riederer [rev], Margaret Siple [rev], Cagri Alican [rev]
Maintainer: Victor Ordu <victorordu@outlook.com>

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Package ale updated to version 0.5.0 with previous version 0.3.1 dated 2025-03-10

Title: Interpretable Machine Learning and Statistical Inference with Accumulated Local Effects (ALE)
Description: Accumulated Local Effects (ALE) were initially developed as a model-agnostic approach for global explanations of the results of black-box machine learning algorithms. ALE has a key advantage over other approaches like partial dependency plots (PDP) and SHapley Additive exPlanations (SHAP): its values represent a clean functional decomposition of the model. As such, ALE values are not affected by the presence or absence of interactions among variables in a mode. Moreover, its computation is relatively rapid. This package reimplements the algorithms for calculating ALE data and develops highly interpretable visualizations for plotting these ALE values. It also extends the original ALE concept to add bootstrap-based confidence intervals and ALE-based statistics that can be used for statistical inference. For more details, see Okoli, Chitu. 2023. “Statistical Inference Using Machine Learning and Classical Techniques Based on Accumulated Local Effects (ALE).” arXiv. <doi:10.48550/arXiv.2 [...truncated...]
Author: Chitu Okoli [aut, cre]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>

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Package restatis updated to version 0.3.0 with previous version 0.2.0 dated 2024-07-25

Title: R Wrapper to Access a Wide Range of Germany's Federal Statistical System Databases Based on the GENESIS Web Service RESTful API of the German Federal Statistical Office (Statistisches Bundesamt/Destatis)
Description: A RESTful API wrapper for accessing the GENESIS database of the German Federal Statistical Office (Destatis) as well as its Census Database and the database of Germany's regional statistics. Supports data search functions, credential management, result caching, and handling remote background jobs for large datasets.
Author: Yannik Buhl [aut, cre], Zoran Kovacevic [aut] , Dorian Le Jeune [aut], Long Nguyen [aut] , Johannes Ritter [aut]
Maintainer: Yannik Buhl <ybuhl@posteo.de>

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Package ChemoSpec2D updated to version 0.5.1 with previous version 0.5.0 dated 2021-10-11

Title: Exploratory Chemometrics for 2D Spectroscopy
Description: A collection of functions for exploratory chemometrics of 2D spectroscopic data sets such as COSY (correlated spectroscopy) and HSQC (heteronuclear single quantum coherence) 2D NMR (nuclear magnetic resonance) spectra. 'ChemoSpec2D' deploys methods aimed primarily at classification of samples and the identification of spectral features which are important in distinguishing samples from each other. Each 2D spectrum (a matrix) is treated as the unit of observation, and thus the physical sample in the spectrometer corresponds to the sample from a statistical perspective. In addition to chemometric tools, a few tools are provided for plotting 2D spectra, but these are not intended to replace the functionality typically available on the spectrometer. 'ChemoSpec2D' takes many of its cues from 'ChemoSpec' and tries to create consistent graphical output and to be very user friendly.
Author: Bryan A. Hanson [aut, cre]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package immunaut updated to version 1.0.2 with previous version 1.0.0 dated 2024-10-25

Title: Machine Learning Immunogenicity and Vaccine Response Analysis
Description: Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Maintainer: Ivan Tomic <info@ivantomic.com>

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Package FLASHMM updated to version 1.2.1 with previous version 1.2.0 dated 2025-03-31

Title: Fast and Scalable Single Cell Differential Expression Analysis using Mixed-Effects Models
Description: A fast and scalable linear mixed-effects model (LMM) estimation algorithm for analysis of single-cell differential expression. The algorithm uses summary-level statistics and requires less computer memory to fit the LMM.
Author: Changjiang Xu [aut, cre], Gary Bader [aut]
Maintainer: Changjiang Xu <changjiang.xu@utoronto.ca>

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Package Surrogate updated to version 3.4.0 with previous version 3.3.3 dated 2025-02-11

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration (Grant Agreement no 602552), the Special Research Fund (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson Innovative Medicine.
Author: Wim Van Der Elst [cre, aut], Florian Stijven [aut], Fenny Ong [aut], Dries De Witte [aut], Gokce Deliorman [aut], Paul Meyvisch [aut], Alvaro Poveda [aut], Ariel Alonso [aut], Hannah Ensor [aut], Christoper Weir [aut], Geert Molenberghs [aut]
Maintainer: Wim Van Der Elst <wim.vanderelst@gmail.com>

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New package stilt with initial version 1.3.1
Package: stilt
Title: Separable Gaussian Process Interpolation (Emulation)
Version: 1.3.1
Date: 2025-04-09
Maintainer: Kelsey Ruckert <datamgmt@scrim.psu.edu>
Description: Functions for simplified emulation of time series computer model output in model parameter space using Gaussian processes. Stilt can be used more generally for Kriging of spatio-temporal fields. There are functions to predict at new parameter settings, to test the emulator using cross-validation (which includes information on 95% confidence interval empirical coverage), and to produce contour plots over 2D slices in model parameter space.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: fields
LazyLoad: no
Packaged: 2025-04-09 14:24:41 UTC; klr324
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2025-04-09 16:40:02 UTC
Author: Roman Olson [aut], Won Chang [aut], Klaus Keller [aut], Murali Haran [aut], Kelsey Ruckert [cre]

More information about stilt at CRAN
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Package osmextract updated to version 0.5.3 with previous version 0.5.2 dated 2024-11-22

Title: Download and Import Open Street Map Data Extracts
Description: Match, download, convert and import Open Street Map data extracts obtained from several providers.
Author: Andrea Gilardi [aut, cre] , Robin Lovelace [aut] , Barry Rowlingson [ctb] , Salva Fernandez [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/395>), Nicholas Potter [rev] for rOpenSci, see <https://github.com/ropensci/soft [...truncated...]
Maintainer: Andrea Gilardi <andrea.gilardi@unimib.it>

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Package oncmap updated to version 0.1.7 with previous version 0.1.5 dated 2025-01-27

Title: Analyze Data from Electronic Adherence Monitoring Devices
Description: Medication adherence, defined as medication-taking behavior that aligns with the agreed-upon treatment protocol, is critical for realizing the benefits of prescription medications. Medication adherence can be assessed using electronic adherence monitoring devices (EAMDs), pill bottles or boxes that contain a computer chip that records the date and time of each opening (or “actuation”). Before researchers can use EAMD data, they must apply a series of decision rules to transform actuation data into adherence data. The purpose of this R package ('oncmap') is to transform EAMD actuations in the form of a raw .csv file, information about the patient, regimen, and non-monitored periods into two daily adherence values -- Dose Taken and Correct Dose Taken.
Author: Michal Kouril [aut, cre] , Meghan McGrady [aut] , Mara Constance [aut] , Kevin Hommel [aut]
Maintainer: Michal Kouril <Michal.Kouril@cchmc.org>

Diff between oncmap versions 0.1.5 dated 2025-01-27 and 0.1.7 dated 2025-04-09

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Package bigGP updated to version 0.1.9 with previous version 0.1.8 dated 2023-04-25

Title: Distributed Gaussian Process Calculations
Description: Distributes Gaussian process calculations across nodes in a distributed memory setting, using Rmpi. The bigGP class provides high-level methods for maximum likelihood with normal data, prediction, calculation of uncertainty (i.e., posterior covariance calculations), and simulation of realizations. In addition, bigGP provides an API for basic matrix calculations with distributed covariance matrices, including Cholesky decomposition, back/forwardsolve, crossproduct, and matrix multiplication.
Author: Christopher Paciorek [aut, cre], Benjamin Lipshitz [aut], Prabhat [ctb], Cari Kaufman [ctb], Tina Zhuo [ctb], Rollin Thomas [ctb]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between bigGP versions 0.1.8 dated 2023-04-25 and 0.1.9 dated 2025-04-09

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Package tbm updated to version 0.3-7 with previous version 0.3-6 dated 2024-04-17

Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models as introduced in <DOI:10.1007/s11222-019-09870-4>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package SDModels updated to version 1.0.7 with previous version 1.0.4 dated 2025-02-19

Title: Spectrally Deconfounded Models
Description: Screen for and analyze non-linear sparse direct effects in the presence of unobserved confounding using the spectral deconfounding techniques (Ćevid, Bühlmann, and Meinshausen (2020)<jmlr.org/papers/v21/19-545.html>, Guo, Ćevid, and Bühlmann (2022) <doi:10.1214/21-AOS2152>). These methods have been shown to be a good estimate for the true direct effect if we observe many covariates, e.g., high-dimensional settings, and we have fairly dense confounding. Even if the assumptions are violated, it seems like there is not much to lose, and the deconfounded models will, in general, estimate a function closer to the true one than classical least squares optimization. 'SDModels' provides functions SDAM() for Spectrally Deconfounded Additive Models (Scheidegger, Guo, and Bühlmann (2025) <doi:10.1145/3711116>) and SDForest() for Spectrally Deconfounded Random Forests (Ulmer, Scheidegger, and Bühlmann (2025) <doi:10.48550/arXiv.2502.03969>).
Author: Markus Ulmer [aut, cre, cph] , Cyrill Scheidegger [aut]
Maintainer: Markus Ulmer <markus.ulmer@stat.math.ethz.ch>

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Package runjags updated to version 2.2.2-5 with previous version 2.2.2-4 dated 2024-03-10

Title: Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
Description: User-friendly interface utilities for MCMC models via Just Another Gibbs Sampler (JAGS), facilitating the use of parallel (or distributed) processors for multiple chains, automated control of convergence and sample length diagnostics, and evaluation of the performance of a model using drop-k validation or against simulated data. Template model specifications can be generated using a standard lme4-style formula interface to assist users less familiar with the BUGS syntax. A JAGS extension module provides additional distributions including the Pareto family of distributions, the DuMouchel prior and the half-Cauchy prior.
Author: Matthew Denwood [aut, cre], Martyn Plummer [cph]
Maintainer: Matthew Denwood <md@sund.ku.dk>

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Package rice updated to version 1.1.1 with previous version 1.0.0 dated 2025-01-07

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package complements the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package phylospatial updated to version 1.1.0 with previous version 1.0.0 dated 2025-01-24

Title: Spatial Phylogenetic Analysis
Description: Conduct various analyses on spatial phylogenetic diversity patterns. Use your data on an evolutionary tree and geographic distributions of the terminal taxa to compute diversity and endemism metrics, test significance with null model randomization, analyze community turnover and biotic regionalization, and perform spatial conservation prioritizations. All functions support quantitative community data in addition to binary data.
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>

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Package HistData updated to version 0.9-3 with previous version 0.9-1 dated 2023-08-09

Title: Data Sets from the History of Statistics and Data Visualization
Description: The 'HistData' package provides a collection of small data sets that are interesting and important in the history of statistics and data visualization. The goal of the package is to make these available, both for instructional use and for historical research. Some of these present interesting challenges for graphics or analysis in R.
Author: Michael Friendly [aut, cre] , Stephane Dray [ctb] , Hadley Wickham [ctb], James Hanley [ctb], Dennis Murphy [ctb], Peter Li [ctb], Luiz Droubi [ctb], James Riley [ctb], Antoine de Falguerolles [ctb], Monique Graf [ctb], Neville Verlander [ctb], Brian [...truncated...]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package glmnetcr updated to version 1.0.7 with previous version 1.0.6 dated 2020-07-03

Title: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response
Description: Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The 'glmnet' fitting algorithm is used to fit the continuation ratio model after data restructuring.
Author: Kellie J. Archer [aut, cre]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package adlift updated to version 1.4-6 with previous version 1.4-5 dated 2023-03-22

Title: An Adaptive Lifting Scheme Algorithm
Description: Adaptive wavelet lifting transforms for signal denoising using optimal local neighbourhood regression, from Nunes et al. (2006) <doi:10.1007/s11222-006-6560-y>.
Author: Matt Nunes [aut, cre], Marina Knight [aut], Guy Nason [ctb, ths]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

Diff between adlift versions 1.4-5 dated 2023-03-22 and 1.4-6 dated 2025-04-09

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Package ClimClass updated to version 2.1.1 with previous version 2.1.0 dated 2016-08-04

Title: Climate Classification According to Several Indices
Description: Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indices, of water balance after Thornthwaite, of viticultural bioclimatic indices. Drawing climographs: Thornthwaite, Peguy, Bagnouls-Gaussen.
Author: Emanuele Eccel [aut], Fabio Zottele [aut, cre], Emanuele Cordano [aut], Giambattista Toller [aut], Fondazione Edmund Mach [cph]
Maintainer: Fabio Zottele <fabio.zottele@fmach.it>

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Package archeofrag.gui updated to version 1.1.0 with previous version 1.0.0 dated 2025-03-10

Title: Spatial Analysis in Archaeology from Refitting Fragments (GUI)
Description: A 'Shiny' application to access the functionalities and datasets of the 'archeofrag' package for spatial analysis in archaeology from refitting data. Quick and seamless exploration of archaeological refitting datasets, focusing on physical refits only. Features include: built-in documentation and convenient workflow, plot generation and exports, exploration of spatial units merging solutions, simulation of archaeological site formation processes, support for parallel computing, R code generation to re-execute simulations and ensure reproducibility, code generation for the 'openMOLE' model exploration software. A demonstration of the app is available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package SPARRAfairness updated to version 0.1.0.0 with previous version 0.0.0.2 dated 2024-11-07

Title: Analysis of Differential Behaviour of SPARRA Score Across Demographic Groups
Description: The SPARRA risk score (Scottish Patients At Risk of admission and Re-Admission) estimates yearly risk of emergency hospital admission using electronic health records on a monthly basis for most of the Scottish population. This package implements a suite of functions used to analyse the behaviour and performance of the score, focusing particularly on differential performance over demographically-defined groups. It includes useful utility functions to plot receiver-operator-characteristic, precision-recall and calibration curves, draw stock human figures, estimate counterfactual quantities without the need to re-compute risk scores, to simulate a semi-realistic dataset. Our manuscript can be found at: <doi:10.1371/journal.pdig.0000675>.
Author: Ioanna Thoma [aut] , Catalina Vallejos [ctb] , Louis Aslett [ctb] , Jill Ireland [ctb] , Simon Rogers [ctb] , James Liley [cre, aut]
Maintainer: James Liley <james.liley@durham.ac.uk>

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Package spanishoddata updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-18

Title: Get Spanish Origin-Destination Data
Description: Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>. This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the 'duckdb' database interface. Local caching minimizes repeated downloads, streamlining workflows for researchers and analysts. Extensive documentation is available at <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on creating static and dynamic mobility flow visualizations and transforming large datasets into analysis-ready formats.
Author: Egor Kotov [aut, cre] , Robin Lovelace [aut] , Eugeni Vidal-Tortosa [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Package solaR updated to version 0.47 with previous version 0.46 dated 2021-10-19

Title: Radiation and Photovoltaic Systems
Description: Calculation methods of solar radiation and performance of photovoltaic systems from daily and intradaily irradiation data sources.
Author: Oscar Perpinan Lamigueiro [cre, aut]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@upm.es>

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Package spGARCH updated to version 0.2.3 with previous version 0.2.2 dated 2020-09-02

Title: Spatial ARCH and GARCH Models (spGARCH)
Description: A collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2018, Spatial Statistics) <doi:10.1016/j.spasta.2018.07.005>: simulation of spatial ARCH-type processes (spARCH, log/exponential-spARCH, complex-spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.
Author: Philipp Otto [cre, aut]
Maintainer: Philipp Otto <philipp.otto89@gmail.com>

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Package Rlibeemd updated to version 1.4.4 with previous version 1.4.3 dated 2023-09-05

Title: Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
Description: An R interface for libeemd (Luukko, Helske, Räsänen, 2016) <doi:10.1007/s00180-015-0603-9>, a C library of highly efficient parallelizable functions for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN), the regular empirical mode decomposition (EMD), and bivariate EMD (BEMD). Due to the possible portability issues CRAN version no longer supports OpenMP, but you can install OpenMP-supported version from GitHub: <https://github.com/helske/Rlibeemd/>.
Author: Jouni Helske [aut, cre] , Perttu Luukko [aut]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package OptHoldoutSize updated to version 0.1.0.1 with previous version 0.1.0.0 dated 2022-02-18

Title: Estimation of Optimal Size for a Holdout Set for Updating a Predictive Score
Description: Predictive scores must be updated with care, because actions taken on the basis of existing risk scores causes bias in risk estimates from the updated score. A holdout set is a straightforward way to manage this problem: a proportion of the population is 'held-out' from computation of the previous risk score. This package provides tools to estimate a size for this holdout set and associated errors. Comprehensive vignettes are included. Please see: Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022) <doi:10.48550/arXiv.2202.06374> (to appear in Annals of Applied Statistics) for details of methods.
Author: Sami Haidar-Wehbe [aut], Sam Emerson [aut] , Louis Aslett [aut] , James Liley [cre, aut]
Maintainer: James Liley <james.liley@durham.ac.uk>

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Package OPI updated to version 3.0.4 with previous version 3.0.2 dated 2024-07-09

Title: Open Perimetry Interface
Description: Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.
Author: Andrew Turpin [cre, aut, cph] , David Lawson [ctb, cph], Ivan Marin-Franch [ctb, cph], Matthias Muller [ctb], Jonathan Denniss [ctb, cph], Astrid Zeman [ctb], Giovanni Montesano [ctb]
Maintainer: Andrew Turpin <andrew.turpin@lei.org.au>

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Package funkyheatmap updated to version 0.5.2 with previous version 0.5.1 dated 2025-01-15

Title: Generating Funky Heatmaps for Data Frames
Description: Allows generating heatmap-like visualisations for 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] , Louise Deconinck [ctb] , Artuur Couckuyt [ctb] , Nick Markov [ctb] , Luke Zappia [ctb]
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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New package slurm with initial version 2025.4.9
Package: slurm
Version: 2025.4.9
License: GPL-3
Title: Running and Parsing Slurm Commands
Description: User-friendly functions which parse output of command line programs used to query Slurm. Morris A. Jette and Tim Wickberg (2023) <doi:10.1007/978-3-031-43943-8_1> describe Slurm in detail.
Imports: data.table (>= 1.11.6), nc (>= 2019.11.22)
SystemRequirements: Slurm command line programs (sacct, squeue)
Suggests: testthat, ggplot2, R.utils
NeedsCompilation: no
Packaged: 2025-04-09 09:25:44 UTC; hoct2726
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>
Repository: CRAN
Date/Publication: 2025-04-09 10:30:02 UTC

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New package seinfitR with initial version 1.0.1
Package: seinfitR
Title: Modeling the Relationship Between Nematode Densities and Plant Growth
Version: 1.0.1
Description: Implements the Seinhorst model to analyze the relationship between initial nematode densities and plant growth response using nonlinear least squares estimation. The package provides tools for model fitting, prediction, and visualization, facilitating the study of plant-nematode interactions. Model parameters can be estimated or set to predefined values based on Seinhorst (1986) <doi:10.1007/978-1-4613-2251-1_11>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: minpack.lm
Suggests: testthat (>= 3.0.0), readxl, knitr, rmarkdown
URL: https://github.com/dslabcena/seinfitR
BugReports: https://github.com/dslabcena/seinfitR/issues
Depends: R (>= 3.5)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 20:12:35 UTC; joaon
Author: Deoclecio Amorim [aut] , Joao Novoletti [aut, cre, cph]
Maintainer: Joao Novoletti <joao.novoletti@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-09 10:10:02 UTC

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New package robcp with initial version 0.3.8
Package: robcp
Title: Robust Change-Point Tests
Version: 0.3.8
Description: Provides robust methods to detect change-points in uni- or multivariate time series. They can cope with corrupted data and heavy tails. Focus is on the detection of abrupt changes in location, but changes in the scale or dependence structure can be detected as well. This package provides tests for change detection in uni- and multivariate time series based on Huberized versions of CUSUM tests proposed in Duerre and Fried (2019) <DOI:10.48550/arXiv.1905.06201>, and tests for change detection in univariate time series based on 2-sample U-statistics or 2-sample U-quantiles as proposed by Dehling et al. (2015) <DOI:10.1007/978-1-4939-3076-0_12> and Dehling, Fried and Wendler (2020) <DOI:10.1093/biomet/asaa004>. Furthermore, the packages provides tests on changes in the scale or the correlation as proposed in Gerstenberger, Vogel and Wendler (2020) <DOI:10.1080/01621459.2019.1629938>, Dehling et al. (2017) <DOI:10.1017/S026646661600044X>, and Wied et al. (2014) [...truncated...]
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-04-09 08:59:05 UTC; goerz
Author: Sheila Goerz [aut, cre], Alexander Duerre [aut], Roland Fried [ctb, ths]
Maintainer: Sheila Goerz <sheila.goerz@tu-dortmund.de>
Imports: methods, Rcpp
LinkingTo: Rcpp
Suggests: testthat, MASS, pracma, mvtnorm, cumstats
Repository: CRAN
Date/Publication: 2025-04-09 10:30:05 UTC

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New package npdsim with initial version 1.0.0
Package: npdsim
Title: Simulate Demand and Attributes for New Products
Version: 1.0.0
Description: Simulate demand and attributes for ready to launch new products during their life cycle, or during their introduction and growth phases. You provide the number of products, attributes, time periods and/or other parameters and 'npdsim' can simulate for you the demand for each product during the considered time periods, and the attributes of each product. The simulation for the demand is based on the idea that each product has a shape and a level, where the level is the cumulative demand over the considered time periods, and the shape is the normalized demand across those time periods.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/mohammedhichame/npdsim
BugReports: https://github.com/mohammedhichame/npdsim/issues
Imports: dplyr (>= 1.1.4), tidyr (>= 1.3.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 22:41:23 UTC; Hichame
Author: Mohammed Hichame BENBITOUR [aut, cre, cph]
Maintainer: Mohammed Hichame BENBITOUR <res.mhichame@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-09 10:20:02 UTC

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New package GBOP2 with initial version 0.1.2
Package: GBOP2
Title: Generalized Bayesian Optimal Phase II Design (G-BOP2)
Version: 0.1.2
Depends: R (>= 4.1.0)
Maintainer: Wanni Lei <wanni.lei17@gmail.com>
Description: Provides functions for implementing the Generalized Bayesian Optimal Phase II (G-BOP2) design using various Particle Swarm Optimization (PSO) algorithms, including: - PSO-Default, based on Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, "Particle Swarm Optimization"; - PSO-Quantum, based on Sun, Xu, and Feng (2004) <doi:10.1109/ICCIS.2004.1460396>, "A Global Search Strategy of Quantum-Behaved Particle Swarm Optimization"; - PSO-Dexp, based on Stehlík et al. (2024) <doi:10.1016/j.asoc.2024.111913>, "A Double Exponential Particle Swarm Optimization with Non-Uniform Variates as Stochastic Tuning and Guaranteed Convergence to a Global Optimum with Sample Applications to Finding Optimal Exact Designs in Biostatistics"; - and PSO-GO.
Imports: tidyr, R6, Rcpp, doParallel, foreach, dplyr, stats, globpso, parallel, utils, RcppArmadillo
Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), R.rsp
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
VignetteBuilder: R.rsp
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-08 23:46:44 UTC; wanni
Author: Xinying Fang [aut], Wanni Lei [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-09 10:20:05 UTC

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New package flexoki with initial version 0.0.1
Package: flexoki
Title: Inky Color Schemes
Version: 0.0.1
Description: Provides color palettes designed to be reminiscent of text on paper. The color schemes were taken from <https://stephango.com/flexoki>. Includes discrete, continuous, and binned scales that are not necessarily color-blind friendly. Simple scale and theme functions are available for use with 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, palette, scales
URL: https://github.com/christopherkenny/flexoki, https://christophertkenny.com/flexoki/
BugReports: https://github.com/christopherkenny/flexoki/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-04-08 21:13:07 UTC; chris
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <christopherkenny@fas.harvard.edu>
Repository: CRAN
Date/Publication: 2025-04-09 10:10:06 UTC

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New package AdsorpR with initial version 0.1.0
Package: AdsorpR
Title: Adsorption Isotherm Models
Version: 0.1.0
Maintainer: Jajati Mandal <J.Mandal2@salford.ac.uk>
Description: Model adsorption behavior using classical isotherms, including Langmuir, Freundlich, Brunauer–Emmett–Teller (BET), and Temkin models. The package supports parameter estimation through both linearized and non-linear fitting techniques and generates high-quality plots for model diagnostics. It is intended for environmental scientists, chemists, and researchers working on adsorption phenomena in soils, water treatment, and material sciences. Functions are compatible with base 'R' and 'ggplot2' for visualization.
License: GPL
Encoding: UTF-8
Imports: ggplot2, stats
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-09 09:28:29 UTC; jajatimandal
Author: Jajati Mandal [cre], Sandipan Samanta [aut]
Repository: CRAN
Date/Publication: 2025-04-09 10:30:09 UTC

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New package yfscreen with initial version 0.1.1
Package: yfscreen
Title: Yahoo Finance 'screener' API
Version: 0.1.1
Description: Simple and efficient access to Yahoo Finance's 'screener' API <https://finance.yahoo.com/research-hub/screener/> for querying and retrieval of financial data. The core functionality abstracts the complexities of interacting with Yahoo Finance APIs, such as session management, crumb and cookie handling, query construction, pagination, and JSON payload generation. This abstraction allows users to focus on filtering and retrieving data rather than managing API details. Use cases include screening across a range of security types including equities, mutual funds, ETFs, indices, and futures. The package supports advanced query capabilities, including logical operators, nested filters, and customizable payloads. It automatically handles pagination to ensure efficient retrieval of large datasets by fetching results in batches of up to 250 entries per request. Filters can be dynamically defined to accommodate a wide range of screening needs. The implementation leverages standard HTTP lib [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/jasonjfoster/screen
BugReports: https://github.com/jasonjfoster/screen/issues
Depends: R (>= 3.5.0)
Imports: curl, jsonlite
Suggests: covr, testthat
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-08 19:12:38 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-09 10:00:02 UTC

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Package simaerep updated to version 0.7.0 with previous version 0.6.0 dated 2024-09-30

Title: Find Clinical Trial Sites Under-Reporting Adverse Events
Description: Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 <doi:10.1007/s40264-020-01011-5>).
Author: Bjoern Koneswarakantha [aut, cre, cph] , F. Hoffmann-La Roche Ltd [cph]
Maintainer: Bjoern Koneswarakantha <bjoern.koneswarakantha@roche.com>

Diff between simaerep versions 0.6.0 dated 2024-09-30 and 0.7.0 dated 2025-04-09

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New package piglet with initial version 1.0.7
Package: piglet
Title: Program for Inferring Immunoglobulin Allele Similarity Clusters and Genotypes
Version: 1.0.7
Description: Improves genotype inference and downstream Adaptive Immune Receptor Repertoire Sequence data analysis. Inference of allele similarity clusters, an alternative naming scheme and genotype inference for immunoglobulin heavy chain repertoires. The main tools are allele similarity clusters, and allele based genotype. The first tool is designed to reduce the ambiguity within the immunoglobulin heavy chain V alleles. The ambiguity is caused by duplicated or similar alleles which are shared among different genes. The second tool is an allele based genotype, that determined the presence of an allele based on a threshold derived from a naive population. See Peres et al. (2023) <doi:10.1093/nar/gkad603>.
License: CC BY 4.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: dplyr (>= 1.0.9), Biostrings (>= 2.62.0), DECIPHER (>= 2.22.0), alakazam (>= 1.2.0), dendextend (>= 1.9.0), data.table (>= 1.12.2), tigger (>= 1.0.0), methods (>= 3.4.4), rlang (>= 0.4.0), zen4R (>= 0.7), RColorBrewer (>= 1.1.2), ggplot2 (>= 3.3.6), circlize (>= 0.4.15), R6 (>= 2.5.1), jsonlite (>= 1.8.3), Rcpp (>= 0.11.0), magrittr, ComplexHeatmap
Suggests: knitr, rmarkdown, stats, graphics, grDevices, htmltools, stringi, bookdown
LazyData: true
BuildVignettes: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-08 19:14:57 UTC; ayelet
Author: Ayelet Peres [aut, cre], William Lees [aut], Gur Yaari [aut, cph]
Maintainer: Ayelet Peres <peresay@biu.ac.il>
Repository: CRAN
Date/Publication: 2025-04-09 10:00:05 UTC

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New package nimblewomble with initial version 0.1.0
Package: nimblewomble
Title: Bayesian Wombling using 'nimble'
Version: 0.1.0
Description: A software package to perform Wombling, or boundary analysis, using the 'nimble' Bayesian hierarchical modeling environment. Wombling is used widely to track regions of rapid change within the spatial reference domain. Specific functions in the package implement Gaussian process models for point-referenced spatial data followed by predictive inference on rates of change over curves using line integrals. We demonstrate model based Bayesian inference using posterior distributions featuring simple analytic forms while offering uncertainty quantification over curves. For more details on wombling please see, Banerjee and Gelfand (2006) <doi:10.1198/016214506000000041> and Halder, Banerjee and Dey (2024) <doi:10.1080/01621459.2023.2177166>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: nimble, ggplot2, MBA, metR, ggspatial, sf, terra, sp, coda, methods
NeedsCompilation: no
Packaged: 2025-04-08 20:02:31 UTC; aritrah-dsph
Author: Aritra Halder [aut, cre], Sudipto Banerjee [aut]
Maintainer: Aritra Halder <aritra.halder@drexel.edu>
Repository: CRAN
Date/Publication: 2025-04-09 10:00:10 UTC

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Package junctions updated to version 2.1.3 with previous version 2.1.1 dated 2025-03-12

Title: The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages
Description: Individual based simulations of hybridizing populations, where the accumulation of junctions is tracked. Furthermore, mathematical equations are provided to verify simulation outcomes. Both simulations and mathematical equations are based on Janzen (2018, <doi:10.1101/058107>) and Janzen (2022, <doi:10.1111/1755-0998.13519>).
Author: Thijs Janzen [aut, cre]
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

Diff between junctions versions 2.1.1 dated 2025-03-12 and 2.1.3 dated 2025-04-09

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Package ggplot2 updated to version 3.5.2 with previous version 3.5.1 dated 2024-04-23

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details.
Author: Hadley Wickham [aut] , Winston Chang [aut] , Lionel Henry [aut], Thomas Lin Pedersen [aut, cre] , Kohske Takahashi [aut], Claus Wilke [aut] , Kara Woo [aut] , Hiroaki Yutani [aut] , Dewey Dunnington [aut] , Teun van den Brand [aut] , Posit, PBC [cph, [...truncated...]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between ggplot2 versions 3.5.1 dated 2024-04-23 and 3.5.2 dated 2025-04-09

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 ggplot2-3.5.2/ggplot2/DESCRIPTION                                                             |    8 
 ggplot2-3.5.2/ggplot2/MD5                                                                     |  140 
 ggplot2-3.5.2/ggplot2/NAMESPACE                                                               |   18 
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 ggplot2-3.5.2/ggplot2/R/aes.R                                                                 |    4 
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 ggplot2-3.5.2/ggplot2/R/facet-.R                                                              |   20 
 ggplot2-3.5.2/ggplot2/R/fortify.R                                                             |    2 
 ggplot2-3.5.2/ggplot2/R/geom-.R                                                               |    3 
 ggplot2-3.5.2/ggplot2/R/geom-defaults.R                                                       |   48 
 ggplot2-3.5.2/ggplot2/R/ggproto.R                                                             |   21 
 ggplot2-3.5.2/ggplot2/R/guide-.R                                                              |   10 
 ggplot2-3.5.2/ggplot2/R/guide-axis.R                                                          |    2 
 ggplot2-3.5.2/ggplot2/R/guide-colorbar.R                                                      |    3 
 ggplot2-3.5.2/ggplot2/R/guide-legend.R                                                        |    3 
 ggplot2-3.5.2/ggplot2/R/guides-.R                                                             |   14 
 ggplot2-3.5.2/ggplot2/R/labels.R                                                              |   33 
 ggplot2-3.5.2/ggplot2/R/layer.R                                                               |    7 
 ggplot2-3.5.2/ggplot2/R/margins.R                                                             |    6 
 ggplot2-3.5.2/ggplot2/R/plot-build.R                                                          |   12 
 ggplot2-3.5.2/ggplot2/R/plot-construction.R                                                   |    6 
 ggplot2-3.5.2/ggplot2/R/plot.R                                                                |   15 
 ggplot2-3.5.2/ggplot2/R/position-.R                                                           |    4 
 ggplot2-3.5.2/ggplot2/R/scale-.R                                                              |    4 
 ggplot2-3.5.2/ggplot2/R/scale-colour.R                                                        |    2 
 ggplot2-3.5.2/ggplot2/R/stat-.R                                                               |    4 
 ggplot2-3.5.2/ggplot2/R/stat-ellipse.R                                                        |    2 
 ggplot2-3.5.2/ggplot2/R/theme-current.R                                                       |    4 
 ggplot2-3.5.2/ggplot2/R/theme-elements.R                                                      |   18 
 ggplot2-3.5.2/ggplot2/R/theme.R                                                               |   21 
 ggplot2-3.5.2/ggplot2/README.md                                                               |   12 
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 ggplot2-3.5.2/ggplot2/inst/doc/ggplot2.html                                                   |   54 
 ggplot2-3.5.2/ggplot2/man/element.Rd                                                          |    6 
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Package GENEAcore updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-01

Title: Pre-Processing of 'GENEActiv' Data
Description: Analytics to read in and segment raw 'GENEActiv' accelerometer data into epochs and events. For more details on the 'GENEActiv' device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.
Author: Joss Langford [aut], Ian Long [aut], Jia Ying Chua [aut, cre], Activinsights Ltd [cph]
Maintainer: Jia Ying Chua <jiayingc@activinsights.com>

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Package formatters updated to version 0.5.11 with previous version 0.5.10 dated 2025-01-08

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [ctb] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package filenamer updated to version 0.3 with previous version 0.2.4 dated 2024-04-04

Title: Easy Management of File Names
Description: Create descriptive file names with ease. New file names are automatically (but optionally) time stamped and placed in date stamped directories. Streamline your analysis pipeline with input and output file names that have informative tags and proper file extensions.
Author: David J. H. Shih [aut, cre]
Maintainer: David J. H. Shih <djh.shih@gmail.com>

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Package doBy updated to version 4.6.26 with previous version 4.6.25 dated 2025-01-30

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: 1) Facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear estimates. 3) Restrict functions to a smaller domain. 4) Miscellaneous other utilities.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package bnRep updated to version 0.0.3 with previous version 0.0.2 dated 2024-10-01

Title: A Repository of Bayesian Networks from the Academic Literature
Description: A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli' (2025) <doi:10.1016/j.neucom.2025.129502>.
Author: Manuele Leonelli [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>

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Package aedseo updated to version 0.3.0 with previous version 0.1.2 dated 2023-11-27

Title: Automated and Early Detection of Seasonal Epidemic Onset and Burden Levels
Description: A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates across consecutive time intervals, calculate the sum of cases (SoC) within those intervals, and estimate seasonal onsets within user defined seasons. With use of a disease-specific threshold it also offers the possibility to estimate seasonal onset of epidemics. Additionally it offers the ability to estimate burden levels for seasons based on historical data. It is aimed towards epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion.
Author: Sofia Myrup Otero [aut] , Kasper Schou Telkamp [aut] , Lasse Engbo Christiansen [aut, cre] , Rasmus Skytte Randloev [rev] , Statens Serum Institut, SSI [cph, fnd]
Maintainer: Lasse Engbo Christiansen <lsec@ssi.dk>

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New package vvbitwarden with initial version 0.1.0
Package: vvbitwarden
Title: Interacts with 'Bitwarden Secrets Manager'
Version: 0.1.0
Description: Provides functions to securely retrieve secrets from a 'Bitwarden Secrets Manager' vault using the 'Bitwarden CLI', enabling secret and configuration management within R packages and workflows. For more information visit <https://bitwarden.com/products/secrets-manager/>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: jsonlite, processx
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 09:58:55 UTC; esr316
Author: Hajo Bons [aut, cre], Tomer Iwan [aut]
Maintainer: Hajo Bons <h.b.bons@vu.nl>
Repository: CRAN
Date/Publication: 2025-04-09 08:10:02 UTC

More information about vvbitwarden at CRAN
Permanent link

New package valh with initial version 0.1.0
Package: valh
Title: Interface Between R and the OpenStreetMap-Based Routing Service Valhalla
Version: 0.1.0
Description: An interface between R and the 'Valhalla' API. 'Valhalla' is a routing service based on 'OpenStreetMap' data. See <https://valhalla.github.io/valhalla/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometer distance).
License: GPL (>= 3)
Imports: jsonlite, googlePolylines, curl, utils, sf
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, tinytest
URL: https://github.com/riatelab/valh
BugReports: https://github.com/riatelab/valh/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-08 14:16:19 UTC; tim
Author: Timothee Giraud [cre, aut] , Matthieu Viry [aut]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>
Repository: CRAN
Date/Publication: 2025-04-09 08:20:02 UTC

More information about valh at CRAN
Permanent link

Package WayFindR updated to version 0.3.1 with previous version 0.1.2 dated 2024-04-10

Title: Computing Graph Structures on WikiPathways
Description: Converts pathways from 'WikiPathways' GPML format or 'KEGG' KGML format into 'igraph' objects. Includes tools to find all cycles in the resulting graphs and determine which ones involve negative feedback (inhibition).
Author: Kevin R. Coombes [aut, cre], Polina Bombina [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package tcpl updated to version 3.2.1 with previous version 3.2.0 dated 2024-10-09

Title: ToxCast Data Analysis Pipeline
Description: The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, 'invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but 'tcpl' can be used to support diverse chemical screening efforts.
Author: Richard S Judson [ctb, ths] , Dayne L Filer [aut], Jason Brown [ctb] , Sarah E Davidson-Fritz [ctb] , Madison Feshuk [cre] , Carter Thunes [ctb], Ashley Ko [ctb], Kelly Carstens [ctb] , Todd Zurlinden [ctb] , Lori Kolaczkowski [ctb], Kurt Dunham [ctb [...truncated...]
Maintainer: Madison Feshuk <feshuk.madison@epa.gov>

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Package qfa updated to version 4.1 with previous version 4.0 dated 2025-01-08

Title: Quantile-Frequency Analysis (QFA) of Time Series
Description: Quantile-frequency analysis (QFA) of time series based on trigonometric quantile regression. Spline quantile regression (SQR) for regression coefficient estimation. References: [1] Li, T.-H. (2012) "Quantile periodograms," Journal of the American Statistical Association, 107, 765–776, <doi:10.1080/01621459.2012.682815>. [2] Li, T.-H. (2014) Time Series with Mixed Spectra, CRC Press, <doi:10.1201/b15154> [3] Li, T.-H. (2022) "Quantile Fourier transform, quantile series, and nonparametric estimation of quantile spectra," <doi:10.48550/arXiv.2211.05844>. [4] Li, T.-H. (2024) "Quantile crossing spectrum and spline autoregression estimation," <doi:10.48550/arXiv.2412.02513>. [5] Li, T.-H. (2024) "Spline autoregression method for estimation of quantile spectrum," <doi:10.48550/arXiv.2412.17163>. [6] Li, T.-H., and Megiddo, N. (2025) "Spline quantile regression," <doi:10.48550/arXiv.2501.03883>.
Author: Ta-Hsin Li [cre, aut]
Maintainer: Ta-Hsin Li <thl024@outlook.com>

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Package plsVarSel updated to version 0.9.13 with previous version 0.9.12 dated 2024-05-22

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package PhotoGEA updated to version 1.3.2 with previous version 1.3.1 dated 2025-04-08

Title: Photosynthetic Gas Exchange Analysis
Description: Read, process, fit, and analyze photosynthetic gas exchange measurements. Documentation is provided by several vignettes; also see Lochocki, Salesse-Smith, & McGrath (2025) <doi:10.1111/pce.15501>.
Author: Edward B. Lochocki [cre, aut] , Coralie E. Salesse-Smith [aut] , Justin M. McGrath [aut] , PhotoGEA authors [cph]
Maintainer: Edward B. Lochocki <eloch@illinois.edu>

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Package nlt updated to version 2.2-2 with previous version 2.2-1 dated 2018-07-10

Title: A Nondecimated Lifting Transform for Signal Denoising
Description: Uses a modified lifting algorithm on which it builds the nondecimated lifting transform. It has applications in wavelet shrinkage.
Author: Marina Knight [aut], Matt Nunes [aut, cre]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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Package nc updated to version 2025.3.24 with previous version 2025.1.21 dated 2025-01-21

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression 'C' libraries ('PCRE', 'RE2', 'ICU'). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package mlr3resampling updated to version 2025.3.30 with previous version 2024.9.6 dated 2024-09-11

Title: Resampling Algorithms for 'mlr3' Framework
Description: A supervised learning algorithm inputs a train set, and outputs a prediction function, which can be used on a test set. If each data point belongs to a subset (such as geographic region, year, etc), then how do we know if subsets are similar enough so that we can get accurate predictions on one subset, after training on Other subsets? And how do we know if training on All subsets would improve prediction accuracy, relative to training on the Same subset? SOAK, Same/Other/All K-fold cross-validation, <doi:10.48550/arXiv.2410.08643> can be used to answer these question, by fixing a test subset, training models on Same/Other/All subsets, and then comparing test error rates (Same versus Other and Same versus All). Also provides code for estimating how many train samples are required to get accurate predictions on a test set.
Author: Toby Hocking [aut, cre] , Michel Lang [ctb] , Bernd Bischl [ctb] , Jakob Richter [ctb] , Patrick Schratz [ctb] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [ctb], Florian Pfisterer [ctb] , Raphael Sonabend [ctb] , [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package minimapR updated to version 0.0.1.3 with previous version 0.0.1.1 dated 2025-03-30

Title: Wrapper for 'minimap2'
Description: Wrapper for 'Minimap2'. 'Minimap2' is a very valuable long read aligner for the Pacbio and Oxford Nanopore Technologies sequencing platforms. 'minimapR' is an R wrapper for 'minimap2' which was developed by Heng Li <me@liheng.org>. *SPECIAL NOTES 1. Examples can only be run from 'GitHub' installation. 2. 'conda' or 'mamba' must be used to install 'minimapR' on your system. 3. For Windows users, 'minimap2' and 'samtools' can be installed via MSYS2, instructions are provided when 'minimap2_installation()' is run. Li, Heng (2018) <doi:10.1093/bioinformatics/bty191> "Minimap2: pairwise alignment for nucleotide sequences".
Author: Jake Reed [aut, cre] , Pradyun Pulipaka [ctb]
Maintainer: Jake Reed <hreed.ga@gmail.com>

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Package ggstudent updated to version 0.1.2 with previous version 0.1.1-1 dated 2020-05-11

Title: Continuous Confidence Interval Plots using t-Distribution
Description: Provides an extension to 'ggplot2' (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean. These plots contain multiple user-defined confidence areas with varying colours, defined by the underlying t-distribution used to compute standard confidence intervals for the mean of the normal distribution when the variance is unknown. Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the shape (horizontal width) is defined by the probability density function of the t-distribution. These visualizations are studied in (Helske, Helske, Cooper, Ynnerman, and Besancon, 2021) <doi:10.1109/TVCG.2021.3073466>.
Author: Jouni Helske [aut, cre]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package crosswalkr updated to version 0.3.0 with previous version 0.2.6 dated 2020-01-08

Title: Rename and Encode Data Frames Using External Crosswalk Files
Description: A pair of functions for renaming and encoding data frames using external crosswalk files. It is especially useful when constructing master data sets from multiple smaller data sets that do not name or encode variables consistently across files. Based on similar commands in 'Stata'.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>

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Package CliftLRD updated to version 0.1-2 with previous version 0.1-1 dated 2018-07-18

Title: Complex-Valued Wavelet Lifting Estimators of the Hurst Exponent for Irregularly Sampled Time Series
Description: Implementation of Hurst exponent estimators based on complex-valued lifting wavelet energy from Knight, M. I and Nunes, M. A. (2018) <doi:10.1007/s11222-018-9820-8>.
Author: Matt Nunes [aut, cre], Marina Knight [aut]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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Package atime updated to version 2025.4.1 with previous version 2025.1.21 dated 2025-01-21

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package simTool updated to version 1.1.8 with previous version 1.1.7 dated 2020-09-22

Title: Conduct Simulation Studies with a Minimal Amount of Source Code
Description: Tool for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with it. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.
Author: Marsel Scheer [aut, cre]
Maintainer: Marsel Scheer <scheer@freescience.de>

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Package CovSel updated to version 1.2.2 with previous version 1.2.1 dated 2015-11-09

Title: Model-Free Covariate Selection
Description: Model-free selection of covariates under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is used in situations where all covariates are continuous while kernel-based smoothing appropriate for mixed data is used otherwise.
Author: Jenny Haeggstroem [aut, cre], Emma Persson [aut], Sandy Weisberg [aut]
Maintainer: Jenny Haeggstroem <jenny.haggstrom@umu.se>

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Package rscorecard updated to version 0.31.0 with previous version 0.30.0 dated 2024-10-23

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/data-documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>

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Package serosv updated to version 1.1.0 with previous version 1.0.1 dated 2024-10-18

Title: Model Infectious Disease Parameters from Serosurveys
Description: An easy-to-use and efficient tool to estimate infectious diseases parameters using serological data. Implemented models include SIR models (basic_sir_model(), static_sir_model(), mseir_model(), sir_subpops_model()), parametric models (polynomial_model(), fp_model()), nonparametric models (lp_model()), semiparametric models (penalized_splines_model()), hierarchical models (hierarchical_bayesian_model()). The package is based on the book "Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective" (Hens, Niel & Shkedy, Ziv & Aerts, Marc & Faes, Christel & Damme, Pierre & Beutels, Philippe., 2013) <doi:10.1007/978-1-4614-4072-7>.
Author: Anh Phan Truong Quynh [aut, cre], Nguyen Pham Nguyen The [aut], Long Bui Thanh [aut], Tuyen Huynh [aut], Thinh Ong [aut] , Marc Choisy [aut]
Maintainer: Anh Phan Truong Quynh <anhptq@oucru.org>

Diff between serosv versions 1.0.1 dated 2024-10-18 and 1.1.0 dated 2025-04-09

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 83 files changed, 640 insertions(+), 813 deletions(-)

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