Mon, 11 Nov 2024

Package ggsem updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-05

Title: Interactively Visualize Structural Equation Modeling Diagrams
Description: It allows users to perform interactive and reproducible visualizations of path diagrams for structural equation modeling (SEM) and small-to-medium sized networks using the 'ggplot2' engine. Its 'shiny' app provides an interface that allows extensive customization, and creates CSV outputs, which can then be used to recreate the figures either using the 'shiny' app or in a typical 'ggplot2' workflow.
Author: Seung Hyun Min [aut, cre]
Maintainer: Seung Hyun Min <seung.min@mail.mcgill.ca>

Diff between ggsem versions 0.1.0 dated 2024-11-05 and 0.1.1 dated 2024-11-11

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 R/draw_loops.R                                     |   14 +-
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 README.md                                          |   17 ++-
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Package sdtm.oak updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-03

Title: SDTM Data Transformation Engine
Description: An Electronic Data Capture system (EDC) and Data Standard agnostic solution that enables the pharmaceutical programming community to develop Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM) datasets in R. The reusable algorithms concept in 'sdtm.oak' provides a framework for modular programming and can potentially automate the conversion of raw clinical data to SDTM through standardized SDTM specifications. SDTM is one of the required standards for data submission to the Food and Drug Administration (FDA) in the United States and Pharmaceuticals and Medical Devices Agency (PMDA) in Japan. SDTM standards are implemented following the SDTM Implementation Guide as defined by CDISC <https://www.cdisc.org/standards/foundational/sdtmig>.
Author: Rammprasad Ganapathy [aut, cre], Adam Forys [aut], Edgar Manukyan [aut], Rosemary Li [aut], Preetesh Parikh [aut], Lisa Houterloot [aut], Yogesh Gupta [aut], Omar Garcia [aut], Ramiro Magno [aut] , Kamil Sijko [aut] , Shiyu Chen [aut], Pattern Instit [...truncated...]
Maintainer: Rammprasad Ganapathy <ganapathy.rammprasad@gene.com>

Diff between sdtm.oak versions 0.1.0 dated 2024-09-03 and 0.1.1 dated 2024-11-11

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 sdtm.oak-0.1.1/sdtm.oak/R/derive_blfl.R                        |   22 +++++
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Package PathwaySpace updated to version 1.0.0 with previous version 0.99.4 dated 2024-09-03

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing and analyzing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing and analyzing graph data.
Author: Victor Apolonio [ctr], Vinicius Chagas [ctr], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

Diff between PathwaySpace versions 0.99.4 dated 2024-09-03 and 1.0.0 dated 2024-11-11

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 9 files changed, 63 insertions(+), 57 deletions(-)

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Package OrigamiPlot updated to version 0.2.0 with previous version 0.1.0 dated 2024-07-29

Title: A Visualization Tool Enhancing Radar Plot Visualizations for Multivariate Data
Description: A visualization tool for multivariate data. This package maintains the original functionality of a radar chart and avoids potential misuse of its connected regions, with newly added features to better assist multi-criteria decision-making.
Author: Yiwen Lu [aut, cre], Jiayi Tong [aut], Yuqing Lei [aut], Alex Sutton [aut], Haitao Chu [aut], Lisa Levine [aut], Thomas Lumley [aut], David Asch [aut], Rui Duan [aut], Christopher Schmid [aut], Yong Chen [aut]
Maintainer: Yiwen Lu <yiwenlu@sas.upenn.edu>

Diff between OrigamiPlot versions 0.1.0 dated 2024-07-29 and 0.2.0 dated 2024-11-11

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 22 files changed, 211 insertions(+), 159 deletions(-)

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Package scpi updated to version 2.2.6 with previous version 2.2.5 dated 2023-11-01

Title: Prediction Intervals for Synthetic Control Methods with Multiple Treated Units and Staggered Adoption
Description: Implementation of prediction and inference procedures for Synthetic Control methods using least square, lasso, ridge, or simplex-type constraints. Uncertainty is quantified with prediction intervals as developed in Cattaneo, Feng, and Titiunik (2021) <https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf> for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik (2023) <doi:10.48550/arXiv.2210.05026> for multiple treated units and staggered adoption. More details about the software implementation can be found in Cattaneo, Feng, Palomba, and Titiunik (2024) <doi:10.48550/arXiv.2202.05984>.
Author: Matias Cattaneo [aut], Yingjie Feng [aut], Filippo Palomba [aut, cre], Rocio Titiunik [aut]
Maintainer: Filippo Palomba <fpalomba@princeton.edu>

Diff between scpi versions 2.2.5 dated 2023-11-01 and 2.2.6 dated 2024-11-11

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 11 files changed, 590 insertions(+), 377 deletions(-)

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New package semaphore with initial version 1.0.1
Package: semaphore
Title: Shared Memory Atomic Operations
Version: 1.0.1
Date: 2024-11-08
Description: Implements named semaphores from the 'boost' 'C++' library <https://www.boost.org/>. A semaphore object is shared amongst several processes. This integer value can be safely incremented or decremented by each processes. Processes can also wait (blocking) for the value to become non-zero.
URL: https://cmmr.github.io/semaphore/, https://github.com/cmmr/semaphore
BugReports: https://github.com/cmmr/semaphore/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
LinkingTo: Rcpp, BH
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-08 17:49:24 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 20:40:02 UTC

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New package rjaf with initial version 0.1.0
Package: rjaf
Title: Regularized Joint Assignment Forest with Treatment Arm Clustering
Version: 0.1.0
URL: https://github.com/wustat/rjaf
BugReports: https://github.com/wustat/rjaf/issues
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.
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp, dplyr, tibble, magrittr, readr, randomForest, ranger, forcats, rlang (>= 1.1.0), tidyr, stringr, MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-08 00:31:37 UTC; xinyizhang
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>
Repository: CRAN
Date/Publication: 2024-11-11 20:10:02 UTC

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New package RadEro with initial version 1.0.4
Package: RadEro
Title: Cs-137 Conversion Model
Version: 1.0.4
Date: 2024-10-30
Description: A straightforward model to estimate soil migration rates across various soil contexts. Based on the compartmental, vertically-resolved, physically-based mass balance model of Soto and Navas (2004) <doi:10.1016/j.jaridenv.2004.02.003> and Soto and Navas (2008) <doi:10.1016/j.radmeas.2008.02.024>. 'RadEro' provides a user-friendly interface in R, utilizing input data such as 137Cs inventories and parameters directly derived from soil samples (e.g., fine fraction density, effective volume) to accurately capture the 137Cs distribution within the soil profile. The model simulates annual 137Cs fallout, radioactive decay, and vertical diffusion, with the diffusion coefficient calculated from 137Cs reference inventory profiles. Additionally, it allows users to input custom parameters as calibration coefficients. This tool and its code are openly accessible, facilitating usage in soil erosion studies.
License: GPL (>= 2)
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.11), dplyr (>= 1.1.4), roxygen2 (>= 7.2.3), usethis (>= 2.2.2), jsonlite (>= 1.8.7), data.table (>= 1.14.8), devtools (>= 2.4.5), ggplot2 (>= 3.4.4), patchwork (>= 1.1.3), utils (>= 4.3.1), stats (>= 4.3.1)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-11-08 09:55:28 UTC; artur
Author: Arturo Catala [aut, cre], Borja Latorre [aut, ctb, cph], Leticia Gaspar [aut], Ana Navas [aut], Dave Gamble [ctb]
Maintainer: Arturo Catala <acatalae@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 20:20:01 UTC

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New package pannotator with initial version 1.0.0.4
Package: pannotator
Title: Visualisation and Annotation of 360 Degree Imagery
Version: 1.0.0.4
Description: Provides a customisable R 'shiny' app for immersively visualising, mapping and annotating panospheric (360 degree) imagery. The flexible interface allows annotation of any geocoded images using up to 4 user specified dropdown menus. The app uses 'leaflet' to render maps that display the geo-locations of images and panellum <https://pannellum.org/>, a lightweight panorama viewer for the web, to render images in virtual 360 degree viewing mode. Key functions include the ability to draw on & export parts of 360 images for downstream applications. Users can also draw polygons and points on map imagery related to the panoramic images and export them for further analysis. Downstream applications include using annotations to train Artificial Intelligence/Machine Learning (AI/ML) models and geospatial modelling and analysis of camera based survey data.
License: GPL (>= 3)
URL: https://github.com/NunzioKnerr/pannotator_package_source
BugReports: https://github.com/NunzioKnerr/pannotator_package_source/issues
Imports: bslib, colourpicker, config, configr, dplyr, exiftoolr, geojsonsf, ggplot2, golem, graphics, grDevices, htmlwidgets, jpeg, jsonify, jsonlite, leaflet, leaflet.extras, leafpm, magrittr, readr, scales, sf, shiny, shinyFiles, shinyhelper, shinyjs, shinythemes, shinyWidgets, stringr, tools, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-08 11:56:18 UTC; kne01b
Author: Nunzio Knerr [aut, cre] , Robert Godfree [aut] , Matthew Petroff [ctb], CSIRO [cph]
Maintainer: Nunzio Knerr <Nunzio.Knerr@csiro.au>
Repository: CRAN
Date/Publication: 2024-11-11 20:30:02 UTC

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New package GTFSwizard with initial version 1.0.0
Package: GTFSwizard
Title: Exploring and Manipulating 'GTFS' Files
Version: 1.0.0
Date/Publication: 2024-11-11 20:40:05 UTC
URL: https://github.com/nelsonquesado/GTFSwizard
BugReports: https://github.com/nelsonquesado/GTFSwizard/issues
Description: Exploring, analyzing, and manipulating General Transit Feed Specification (GTFS) files, which represent public transportation schedules and geographic data. The package allows users to filter data by routes, trips, stops, and time, generate spatial visualizations, and perform detailed analyses of transit networks, including headway, dwell times, and route frequencies. Designed for transit planners, researchers, and data analysts, 'GTFSwizard' integrates functionalities from popular packages to enable efficient GTFS data manipulation and visualization.
Imports: gtfstools, tidytransit, lubridate, sf, tidyr, data.table, shiny, leaflet, checkmate, dplyr, ggplot2, gtfsio, purrr, rlang, crayon, forcats, hrbrthemes, stringr, tibble, plotly, leaflet.extras, geosphere, stplanr, glue, hms, sfnetworks
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-11-08 16:54:42 UTC; nelsonquesado
Author: Nelson de O. Quesado Filho [aut, cre], Caio G. C. Guimaraes [aut]
Maintainer: Nelson de O. Quesado Filho <nquesado@gmail.com>
Repository: CRAN

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New package FedData with initial version 4.1.0
Package: FedData
Title: Download Geospatial Data Available from Several Federated Data Sources
Version: 4.1.0
Date: 2024-11-06
Description: Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge [...truncated...]
License: MIT + file LICENSE
URL: https://docs.ropensci.org/FedData/, https://github.com/ropensci/FedData
BugReports: https://github.com/ropensci/FedData/issues
SystemRequirements: GDAL (>= 3.1.0)
Depends: R (>= 3.2.0)
Imports: curl, httr, dplyr, tibble, tidyr, stringr, igraph, xml2, lifecycle, lubridate, progress, purrr, readr, terra (>= 1.0), sf (>= 1.0), arcgislayers (>= 0.2.0), ggplot2, glue, magrittr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Repository: CRAN
Suggests: knitr, leaflet, mapview, ncdf4, rmapshaper, testthat, usethis
Packaged: 2024-11-07 23:20:08 UTC; kyle.bocinsky
Author: R. Kyle Bocinsky [aut, cre, cph] , Dylan Beaudette [ctb], Scott Chamberlain [ctb, rev], Jeffrey Hollister [ctb], Julia Gustavsen [rev]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>
Date/Publication: 2024-11-11 20:10:05 UTC

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Package FDX updated to version 2.0.2 with previous version 2.0.1 dated 2024-10-26

Title: False Discovery Exceedance Controlling Multiple Testing Procedures
Description: Multiple testing procedures for heterogeneous and discrete tests as described in Döhler and Roquain (2020) <doi:10.1214/20-EJS1771>. The main algorithms of the paper are available as continuous, discrete and weighted versions. They take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with wrappers allowing to apply discrete procedures directly to data.
Author: Sebastian Doehler [aut] , Florian Junge [aut, cre] , Etienne Roquain [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

Diff between FDX versions 2.0.1 dated 2024-10-26 and 2.0.2 dated 2024-11-11

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 7 files changed, 43 insertions(+), 38 deletions(-)

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New package betaselectr with initial version 0.1.0
Package: betaselectr
Title: Betas-Select in Structural Equation Models and Linear Models
Version: 0.1.0
Description: It computes betas-select, coefficients after standardization in structural equation models and regression models, standardizing only selected variables. Supports models with moderation, with product terms formed after standardization. It also offers confidence intervals that account for standardization, including bootstrap confidence intervals as proposed by Cheung et al. (2022) <doi:10.1037/hea0001188>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Imports: boot, stats, lavaan, methods, numDeriv, manymome, pbapply, lavaan.printer
VignetteBuilder: knitr
URL: https://sfcheung.github.io/betaselectr/
BugReports: https://github.com/sfcheung/betaselectr/issues
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-08 11:26:51 UTC; shufa
Author: Shu Fai Cheung [aut, cre] , Rong Wei Sun [aut] , Florbela Chang [aut] , Wendie Yang [aut] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 20:30:06 UTC

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Package bioregion updated to version 1.1.1-1 with previous version 1.1.1 dated 2024-04-19

Title: Comparison of Bioregionalisation Methods
Description: The main purpose of this package is to propose a transparent methodological framework to compare bioregionalisation methods based on hierarchical and non-hierarchical clustering algorithms (Kreft & Jetz (2010) <doi:10.1111/j.1365-2699.2010.02375.x>) and network algorithms (Lenormand et al. (2019) <doi:10.1002/ece3.4718> and Leroy et al. (2019) <doi:10.1111/jbi.13674>).
Author: Maxime Lenormand [aut, cre] , Boris Leroy [aut] , Pierre Denelle [aut]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

Diff between bioregion versions 1.1.1 dated 2024-04-19 and 1.1.1-1 dated 2024-11-11

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Package mlmc updated to version 2.1.1 with previous version 2.1.0 dated 2024-11-08

Title: Multi-Level Monte Carlo
Description: An implementation of MLMC (Multi-Level Monte Carlo), Giles (2008) <doi:10.1287/opre.1070.0496>, Heinrich (1998) <doi:10.1006/jcom.1998.0471>, for R. This package builds on the original 'Matlab' and 'C++' implementations by Mike Giles to provide a full MLMC driver and example level samplers. Multi-core parallel sampling of levels is provided built-in.
Author: Louis Aslett [cre, aut, trl] , Mike Giles [ctb] , Tigran Nagapetyan [ctb] , Sebastian Vollmer [ctb]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>

Diff between mlmc versions 2.1.0 dated 2024-11-08 and 2.1.1 dated 2024-11-11

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Package dataCompare updated to version 1.0.2 with previous version 1.0.1 dated 2024-11-02

Title: A 'shiny' App to Compare Two Data Frames
Description: A tool developed with the 'Golem' framework which provides an easier way to check cells differences between two data frames. The user provides two data frames for comparison, selects IDs variables identifying each row of input data, then clicks a button to perform the comparison. Several 'R' package functions are used to describe the data and perform the comparison in the server of the application. The main ones are comparedf() from 'arsenal' and skim() from 'skimr'. For more details see the description of comparedf() from the 'arsenal' package and that of skim() from the 'skimr' package.
Author: Sergio Ewane Ebouele [aut, cre]
Maintainer: Sergio Ewane Ebouele <info@dataforknow.com>

Diff between dataCompare versions 1.0.1 dated 2024-11-02 and 1.0.2 dated 2024-11-11

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Package treats updated to version 1.1 with previous version 1.0 dated 2023-11-24

Title: Trees and Traits Simulations
Description: A modular package for simulating phylogenetic trees and species traits jointly. Trees can be simulated using modular birth-death parameters (e.g. changing starting parameters or algorithm rules). Traits can be simulated in any way designed by the user. The growth of the tree and the traits can influence each other through modifiers objects providing rules for affecting each other. Finally, events can be created to modify both the tree and the traits under specific conditions ( Guillerme, 2024 <DOI:10.1111/2041-210X.14306>).
Author: Thomas Guillerme [aut, cre, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between treats versions 1.0 dated 2023-11-24 and 1.1 dated 2024-11-11

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Package steadyICA updated to version 1.0.1 with previous version 1.0 dated 2015-11-10

Title: ICA and Tests of Independence via Multivariate Distance Covariance
Description: Functions related to multivariate measures of independence and ICA: -estimate independent components by minimizing distance covariance; -conduct a test of mutual independence based on distance covariance; -estimate independent components via infomax (a popular method but generally performs poorer than mdcovica, ProDenICA, and/or fastICA, but is useful for comparisons); -order indepedent components by skewness; -match independent components from multiple estimates; -other functions useful in ICA.
Author: Benjamin B. Risk and Nicholas A. James and David S. Matteson
Maintainer: Benjamin Risk <bbr28@cornell.edu>

Diff between steadyICA versions 1.0 dated 2015-11-10 and 1.0.1 dated 2024-11-11

 DESCRIPTION      |    6 +++---
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 3 files changed, 11 insertions(+), 11 deletions(-)

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Package GGMselect updated to version 0.1-12.7.1 with previous version 0.1-12.7 dated 2023-08-31

Title: Gaussian Graphs Models Selection
Description: Graph estimation in Gaussian Graphical Models, following the method developed by C. Giraud, S. Huet and N. Verzelen (2012) <doi:10.1515/1544-6115.1625>. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Author: Annie Bouvier, Christophe Giraud, Sylvie Huet, Nicolas Verzelen.
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

Diff between GGMselect versions 0.1-12.7 dated 2023-08-31 and 0.1-12.7.1 dated 2024-11-11

 DESCRIPTION |    6 +++---
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 3 files changed, 8 insertions(+), 8 deletions(-)

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New package forestSAS with initial version 2.0.4
Package: forestSAS
Title: Forest Spatial Structure Analysis Systems
Version: 2.0.4
Depends: R (>= 3.5.0)
Imports: spatstat, spatstat.data, spatstat.geom, spatstat.random
Description: Recent years have seen significant interest in neighborhood-based structural parameters that effectively represent the spatial characteristics of tree populations and forest communities, and possess strong applicability for guiding forestry practices. This package provides valuable information that enhances our understanding and analysis of the fine-scale spatial structure of tree populations and forest stands. Reference: Yan L, Tan W, Chai Z, et al (2019) <doi:10.13323/j.cnki.j.fafu(nat.sci.).2019.03.007>.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-06 14:06:51 UTC; 78438
Author: Zongzheng Chai [aut, cre]
Maintainer: Zongzheng Chai <chaizz@126.com>
Repository: CRAN
Date/Publication: 2024-11-11 16:50:02 UTC

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New package forestPSD with initial version 1.0.0
Package: forestPSD
Title: Forest Population Structure and Numeric Dynamics
Version: 1.0.0
Depends: R (>= 3.5.0)
Imports: ggplot2,reshape2,TTR,modelr,minpack.lm,stats,utils
Description: Analysis of forest population structure and quantitative dynamics is the research and evaluation of the composition, distribution, age structure and changes in quantity over time of various populations in the forest. By deeply understanding these characteristics of forest populations, scientific basis can be provided for the management, protection and sustainable utilization of forest resources. This R package conducts a systematic analysis of forest population structure and quantitative dynamics through analyzing age structure, compiling life tables, population quantitative dynamic change indices and time series models, in order to provide support for forest population protection and sustainable management. References: Zhang Y, Wang J, Wang X, et al(2024)<doi:10.3390/plants13070946>. Yuan G, Guo Q, Xie N, et al(2023)<doi:10.1007/s11629-022-7429-z>.
License: GPL-2
LazyData: TRUE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-06 12:21:43 UTC; 78438
Author: Zongzheng Chai [aut, cre]
Maintainer: Zongzheng Chai <chaizz@126.com>
Repository: CRAN
Date/Publication: 2024-11-11 16:50:05 UTC

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Package sdsfun updated to version 0.4.2 with previous version 0.4.1 dated 2024-10-16

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between sdsfun versions 0.4.1 dated 2024-10-16 and 0.4.2 dated 2024-11-11

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Package Rlabkey updated to version 3.4.1 with previous version 3.4.0 dated 2024-10-23

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.4.0 dated 2024-10-23 and 3.4.1 dated 2024-11-11

 DESCRIPTION            |    8 ++++----
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Package PottsUtils updated to version 0.3-3.1 with previous version 0.3-3 dated 2018-02-18

Title: Utility Functions of the Potts Models
Description: There are three sets of functions. The first produces basic properties of a graph and generates samples from multinomial distributions to facilitate the simulation functions (they maybe used for other purposes as well). The second provides various simulation functions for a Potts model in Potts, R. B. (1952) <doi:10.1017/S0305004100027419>. The third currently includes only one function which computes the normalizing constant of a Potts model based on simulation results.
Author: Dai Feng [aut, cre], Luke Tierney [ctb]
Maintainer: Dai Feng <daifeng.stat@gmail.com>

Diff between PottsUtils versions 0.3-3 dated 2018-02-18 and 0.3-3.1 dated 2024-11-11

 DESCRIPTION        |   18 +++++++++++++-----
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Package nn2poly updated to version 0.1.2 with previous version 0.1.1 dated 2024-01-30

Title: Neural Network Weights Transformation into Polynomial Coefficients
Description: Implements a method that builds the coefficients of a polynomial model that performs almost equivalently as a given neural network (densely connected). This is achieved using Taylor expansion at the activation functions. The obtained polynomial coefficients can be used to explain features (and their interactions) importance in the neural network, therefore working as a tool for interpretability or eXplainable Artificial Intelligence (XAI). See Morala et al. 2021 <doi:10.1016/j.neunet.2021.04.036>, and 2023 <doi:10.1109/TNNLS.2023.3330328>.
Author: Pablo Morala [aut, cre] , Inaki Ucar [aut] , Jose Ignacio Diez [ctr]
Maintainer: Pablo Morala <moralapablo@gmail.com>

Diff between nn2poly versions 0.1.1 dated 2024-01-30 and 0.1.2 dated 2024-11-11

 DESCRIPTION                                              |    6 
 MD5                                                      |   36 
 NEWS.md                                                  |    4 
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Package twowaytests updated to version 1.5 with previous version 1.4 dated 2024-06-19

Title: Two-Way Tests in Independent Groups Designs
Description: Performs two-way tests in independent groups designs. These are two-way ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based generalized test and generalized pivotal quantity based generalized test, two-way ANOVA for medians, trimmed means, M-estimators. The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout (Dag et al., 2024, <doi:10.1016/j.softx.2024.101862>).
Author: Osman Dag [aut, cre], Sam Weerahandi [aut], Malwane Ananda [aut], Muhammed Ali Yilmaz [aut], Merve Kasikci [aut]
Maintainer: Osman Dag <osman.dag@outlook.com>

Diff between twowaytests versions 1.4 dated 2024-06-19 and 1.5 dated 2024-11-11

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Package biopixR updated to version 1.2.0 with previous version 1.1.0 dated 2024-06-24

Title: Extracting Insights from Biological Images
Description: Combines the 'magick' and 'imager' packages to streamline image analysis, focusing on feature extraction and quantification from biological images, especially microparticles. By providing high throughput pipelines and clustering capabilities, 'biopixR' facilitates efficient insight generation for researchers (Schneider J. et al. (2019) <doi:10.21037/jlpm.2019.04.05>).
Author: Tim Brauckhoff [aut, cre] , Stefan Roediger [ctb] , Coline Kieffer [ctb]
Maintainer: Tim Brauckhoff <brauctile@disroot.org>

Diff between biopixR versions 1.1.0 dated 2024-06-24 and 1.2.0 dated 2024-11-11

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Package sundialr updated to version 0.1.5 with previous version 0.1.4.2 dated 2024-07-02

Title: An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE) Solvers
Description: Provides a way to call the functions in 'SUNDIALS' C ODE solving library (<https://computing.llnl.gov/projects/sundials>). Currently the serial version of ODE solver, 'CVODE', sensitivity calculator 'CVODES' and differential algebraic solver 'IDA' from the 'SUNDIALS' library are implemented. The package requires ODE to be written as an 'R' or 'Rcpp' function and does not require the 'SUNDIALS' library to be installed on the local machine.
Author: Satyaprakash Nayak [aut, cre, cph] , Lawrence Livermore National Security [cph], Southern Methodist University [cph]
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>

Diff between sundialr versions 0.1.4.2 dated 2024-07-02 and 0.1.5 dated 2024-11-11

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 R/RcppExports.R                                                |    2 
 README.md                                                      |    8 
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 inst/include/nvector/nvector_serial.h                          |    6 
 inst/include/sundials/sundials_adaptcontroller.h               |    4 
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 man/cvodes.Rd                                                  |    2 
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 src/cvodes.cpp                                                 |  296 ++++------
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 src/sundials/cvode/cvode.c                                     |   30 -
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 src/sundials/cvode/cvode_diag.c                                |   27 
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 src/sundials/cvodes/cvodes_bandpre.c                           |    9 
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 src/sundials/cvodes/cvodes_io.c                                |    2 
 src/sundials/cvodes/cvodes_ls.c                                |   13 
 src/sundials/cvodes/cvodes_nls_stg1.c                          |    3 
 src/sundials/ida/ida.c                                         |   13 
 src/sundials/ida/ida_bbdpre.c                                  |   13 
 src/sundials/ida/ida_ic.c                                      |    2 
 src/sundials/ida/ida_impl.h                                    |    4 
 src/sundials/ida/ida_ls.c                                      |    5 
 src/sundials/ida/ida_nls.c                                     |    6 
 src/sundials/idas/idas.c                                       |   26 
 src/sundials/idas/idas_bbdpre.c                                |   13 
 src/sundials/idas/idas_ic.c                                    |    7 
 src/sundials/idas/idas_impl.h                                  |    4 
 src/sundials/idas/idas_ls.c                                    |    5 
 src/sundials/idas/idas_nls.c                                   |    6 
 src/sundials/idas/idas_nls_sim.c                               |    7 
 src/sundials/idas/idas_nls_stg.c                               |    7 
 src/sundials/kinsol/kinsol.c                                   |   29 
 src/sundials/kinsol/kinsol_bbdpre.c                            |   12 
 src/sundials/kinsol/kinsol_impl.h                              |    4 
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 src/sundials/sundials/sundials_errors.c                        |   18 
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 src/sundials/sunmatrix/band/sunmatrix_band.c                   |   11 
 src/sundials/sunmatrix/dense/sunmatrix_dense.c                 |   11 
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 87 files changed, 945 insertions(+), 964 deletions(-)

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New package seAMLess with initial version 0.1.1
Package: seAMLess
Title: A Single Cell Transcriptomics Based Deconvolution Pipeline for Leukemia
Description: Given a bulk transcriptomic (RNA-seq) sample of an Myeloid Leukemia patient calculates immune composition and drug resistance for different small-molecule inhibitors. Published in <https://www.nature.com/articles/s41698-024-00596-9>.
Version: 0.1.1
Depends: R (>= 3.5.0)
Imports: Biobase, ggplot2, optparse, data.table,
Suggests: MuSiC, ggtern, seAMLessData, randomForest
Additional_repositories: https://eonurk.github.io/drat/
URL: https://github.com/eonurk/seAMLess
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-11 10:18:00 UTC; onur-lumc
Author: E Onur Karakaslar [aut, cre], Redmar van den Berg [ctb]
Maintainer: E Onur Karakaslar <eonurkara@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-11 12:50:02 UTC

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Package rcheology updated to version 4.4.2.0 with previous version 4.4.1.0 dated 2024-06-24

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between rcheology versions 4.4.1.0 dated 2024-06-24 and 4.4.2.0 dated 2024-11-11

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New package photon with initial version 0.3.1
Package: photon
Title: High-Performance Geocoding using 'photon'
Version: 0.3.1
Description: Features unstructured, structured and reverse geocoding using the 'photon' geocoding API <https://photon.komoot.io/>. Facilitates the setup of local 'photon' instances to enable offline geocoding.
License: Apache License (>= 2)
URL: https://github.com/jslth/photon/, https://jslth.github.io/photon/
BugReports: https://github.com/jslth/photon/issues
Encoding: UTF-8
Imports: utils, cli, countrycode, httr2, R6, sf, processx
Suggests: testthat (>= 3.0.0), tibble, knitr, rmarkdown, webfakes, ps
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-07 21:41:38 UTC; PC
Author: Jonas Lieth [aut, cre, cph]
Maintainer: Jonas Lieth <jonas.lieth@gesis.org>
Repository: CRAN
Date/Publication: 2024-11-11 12:20:02 UTC

More information about photon at CRAN
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Package ordinalpattern updated to version 0.2.6 with previous version 0.2.5 dated 2024-08-21

Title: Tests Based on Ordinal Patterns
Description: Ordinal patterns describe the dynamics of a time series by looking at the ranks of subsequent observations. By comparing ordinal patterns of two times series, Schnurr (2014) <doi:10.1007/s00362-013-0536-8> defines a robust and non-parametric dependence measure: the ordinal pattern coefficient. Functions to calculate this and a method to detect a change in the pattern coefficient proposed in Schnurr and Dehling (2017) <doi:10.1080/01621459.2016.1164706> are provided. Furthermore, the package contains a function for calculating the ordinal pattern frequencies. Generalized ordinal patterns as proposed by Schnurr and Fischer (2022) <doi:10.1016/j.csda.2022.107472> are also considered.
Author: Alexander Duerre [aut], Svenja Fischer [ctb], Alexander Schnurr [aut], Angelika Silbernagel [aut, cre]
Maintainer: Angelika Silbernagel <silbernagel@mathematik.uni-siegen.de>

Diff between ordinalpattern versions 0.2.5 dated 2024-08-21 and 0.2.6 dated 2024-11-11

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Package inferr updated to version 0.3.2 with previous version 0.3.1 dated 2021-05-28

Title: Inferential Statistics
Description: Select set of parametric and non-parametric statistical tests. 'inferr' builds upon the solid set of statistical tests provided in 'stats' package by including additional data types as inputs, expanding and restructuring the test results. The tests included are t tests, variance tests, proportion tests, chi square tests, Levene's test, McNemar Test, Cochran's Q test and Runs test.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

Diff between inferr versions 0.3.1 dated 2021-05-28 and 0.3.2 dated 2024-11-11

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More information about inferr at CRAN
Permanent link

Package CohortConstructor updated to version 0.3.2 with previous version 0.3.1 dated 2024-10-08

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CohortConstructor versions 0.3.1 dated 2024-10-08 and 0.3.2 dated 2024-11-11

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More information about CohortConstructor at CRAN
Permanent link

Package blorr updated to version 0.3.1 with previous version 0.3.0 dated 2020-05-28

Title: Tools for Developing Binary Logistic Regression Models
Description: Tools designed to make it easier for beginner and intermediate users to build and validate binary logistic regression models. Includes bivariate analysis, comprehensive regression output, model fit statistics, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

Diff between blorr versions 0.3.0 dated 2020-05-28 and 0.3.1 dated 2024-11-11

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Package anthroplus updated to version 1.0.0 with previous version 0.9.0 dated 2021-11-24

Title: Computation of the WHO 2007 References for School-Age Children and Adolescents (5 to 19 Years)
Description: Provides WHO 2007 References for School-age Children and Adolescents (5 to 19 years) (z-scores) with confidence intervals and standard errors around the prevalence estimates, taking into account complex sample designs. More information on the methods is available online: <https://www.who.int/tools/growth-reference-data-for-5to19-years>.
Author: Dirk Schumacher [aut, cre], Elaine Borghi [ctb], Giovanna Gatica-Dominguez [ctb], World Health Organization [cph]
Maintainer: Dirk Schumacher <mail@dirk-schumacher.net>

Diff between anthroplus versions 0.9.0 dated 2021-11-24 and 1.0.0 dated 2024-11-11

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Package twn updated to version 0.2.5 with previous version 0.2.4 dated 2023-06-20

Title: Taxa Waterbeheer Nederland voor R
Description: The TWN-list (Taxa Waterbeheer Nederland) is the Dutch standard for naming taxons in Dutch Watermanagement. This package makes it easier to use the TWN-list for ecological analyses. It consists of two parts. First it makes the TWN-list itself available in R. Second, it has a few functions that make it easy to perform some basic and often recurring tasks for checking and consulting taxonomic data from the TWN-list.
Author: Johan van Tent [aut, cre]
Maintainer: Johan van Tent <tentvanjohan@hotmail.com>

Diff between twn versions 0.2.4 dated 2023-06-20 and 0.2.5 dated 2024-11-11

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Package RcppSpdlog updated to version 0.0.19 with previous version 0.0.18 dated 2024-09-10

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSpdlog versions 0.0.18 dated 2024-09-10 and 0.0.19 dated 2024-11-11

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New package PakPC with initial version 0.2.0
Package: PakPC
Title: 'shiny' App to Analyze Pakistan's Population Census Data
Version: 0.2.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides tools for analyzing Pakistan's Population Censuses data via the 'PakPC2023' and 'PakPC2017' R packages. Designed for researchers, policymakers, and professionals, the app enables in-depth numerical and graphical analysis, including detailed cross-tabulations and insights. With diverse statistical models and visualization options, it supports informed decision-making in social and economic policy. This tool enhances users' ability to explore and interpret census data, providing valuable insights for effective planning and analysis across various fields.
URL: https://myaseen208.com/PakPC/ https://myaseen208.shinyapps.io/PakPC/ https://CRAN.R-project.org/package=PakPC
BugReports: https://github.com/myaseen208/PakPC/issues
Depends: R (>= 4.1)
Imports: DT, htmltools, magrittr, PakPC2017, PakPC2023, rpivotTable, shiny, shinydashboard, shinydashboardPlus
Suggests: shinytest2, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
Note: 1. School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA 2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan
NeedsCompilation: no
Packaged: 2024-11-07 18:52:34 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre, cph] , Muhammad Arfan Dilber [ctb], Zahid Asghar [ctb]
Repository: CRAN
Date/Publication: 2024-11-11 11:50:07 UTC

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New package PakNAcc with initial version 0.1.0
Package: PakNAcc
Title: 'shiny' App for National Accounts
Version: 0.1.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Provides a comprehensive suite of tools for analyzing Pakistan's Quarterly National Accounts data. Users can gain detailed insights into Pakistan's economic performance, visualize quarterly trends, and detect patterns and anomalies in key economic indicators. Compare sector contributions—including agriculture, industry, and services—to understand their influence on economic growth or decline. Customize analyses by filtering and manipulating data to focus on specific areas of interest. Ideal for policymakers, researchers, and analysts aiming to make informed, data-driven decisions based on timely and detailed economic insights.
URL: https://myaseen208.com/PakNAcc/ https://myaseen208.shinyapps.io/PakNAcc/ https://CRAN.R-project.org/package=PakNAcc
BugReports: https://github.com/myaseen208/PakNAcc/issues
Depends: R (>= 4.1)
Imports: collapse, DT, htmltools, magrittr, rpivotTable, shiny, shinydashboard, shinydashboardPlus
Suggests: shinytest2, testthat (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
Note: School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA
NeedsCompilation: no
Packaged: 2024-11-07 18:34:28 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre, cph] , Zahid Asghar [ctb]
Repository: CRAN
Date/Publication: 2024-11-11 11:50:11 UTC

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Package NaileR updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-26

Title: Interpreting Latent Variables with AI
Description: A small package designed for interpreting continuous and categorical latent variables. You provide a data set with a latent variable you want to understand and some other explanatory variables. It provides a description of the latent variable based on the explanatory variables. It also provides a name to the latent variable.
Author: Nel Herve [aut], Sebastien Le [aut, cre]
Maintainer: Sebastien Le <sebastien.le@institut-agro.fr>

Diff between NaileR versions 1.2.0 dated 2024-09-26 and 1.2.1 dated 2024-11-11

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Package mbreaks updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-23

Title: Estimation and Inference for Structural Breaks in Linear Regression Models
Description: Functions provide comprehensive treatments for estimating, inferring, testing and model selecting in linear regression models with structural breaks. The tests, estimation methods, inference and information criteria implemented are discussed in Bai and Perron (1998) "Estimating and Testing Linear Models with Multiple Structural Changes" <doi:10.2307/2998540>.
Author: Linh Nguyen [aut, cre], Yohei Yamamoto [aut], Pierre Perron [aut]
Maintainer: Linh Nguyen <nguye535@purdue.edu>

Diff between mbreaks versions 1.0.0 dated 2023-01-23 and 1.0.1 dated 2024-11-11

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New package JAGStree with initial version 1.0.1
Package: JAGStree
Title: Automatically Write 'JAGS' Code for Hierarchical Bayesian Models on Trees
Version: 1.0.1
Maintainer: Mallory J Flynn <mallory.flynn@stat.ubc.ca>
Description: When relationships between sources of data can be represented by a tree, the generation of appropriate Markov Chain Monte Carlo modeling code to be used with 'JAGS' to run a Bayesian hierarchical model can be automatically generated by this package. Any admissible tree-structured data can be used, under the assumption that node counts are multinomial and branching probabilities are Dirichlet among sibling groups. The methodological basis used to create this package can be found in Flynn (2023) <http://hdl.handle.net/2429/86174>.
License: GPL (>= 2)
URL: https://github.com/malfly/JAGStree
Depends: R (>= 4.3.0)
Imports: data.tree, gtools, mcmcplots, stats, R2jags, tidyverse, DiagrammeR, AutoWMM
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-07 18:58:12 UTC; mallory
Author: Mallory J Flynn [cre, aut]
Repository: CRAN
Date/Publication: 2024-11-11 12:00:13 UTC

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New package ig.degree.betweenness with initial version 0.1.0
Package: ig.degree.betweenness
Title: "Smith-Pittman Community Detection Algorithm for 'igraph' Objects (2024)"
Version: 0.1.0
Description: Implements the "Smith-Pittman" community detection algorithm for network analysis using 'igraph' objects. This algorithm combines node degree and betweenness centrality measures to identify communities within networks, with a gradient evident in social partitioning. The package provides functions for community detection, visualization, and analysis of the resulting community structure. Methods are based on results from Smith, Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.
License: MIT + file LICENSE
URL: https://github.com/benyamindsmith/ig.degree.betweenness
BugReports: https://github.com/benyamindsmith/ig.degree.betweenness/issues
Encoding: UTF-8
Imports: igraph, igraphdata, rlist, BBmisc, qgraph
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-11-07 19:17:21 UTC; ben29
Author: Benjamin Smith [aut, cre] , Tyler Pittman [aut] , Wei Xu [aut]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-11 12:00:01 UTC

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Package geocomplexity updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-03

Title: Mitigating Spatial Bias Through Geographical Complexity
Description: The geographical complexity of individual variables can be characterized by the differences in local attribute variables, while the common geographical complexity of multiple variables can be represented by fluctuations in the similarity of vectors composed of multiple variables. In spatial regression tasks, the goodness of fit can be improved by incorporating a geographical complexity representation vector during modeling, using a geographical complexity-weighted spatial weight matrix, or employing local geographical complexity kernel density. Similarly, in spatial sampling tasks, samples can be selected more effectively by using a method that weights based on geographical complexity. By optimizing performance in spatial regression and spatial sampling tasks, the spatial bias of the model can be effectively reduced.
Author: Wenbo Lv [aut, cre, cph] , Yongze Song [aut] , Zehua Zhang [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

Diff between geocomplexity versions 0.2.0 dated 2024-10-03 and 0.2.1 dated 2024-11-11

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New package distfreereg with initial version 1.0
Package: distfreereg
Title: Distribution-Free Goodness-of-Fit Testing for Regression
Version: 1.0
Depends: R (>= 4.4)
Imports: clue, methods, numDeriv
Suggests: knitr, Matrix, mvtnorm, rmarkdown
VignetteBuilder: knitr
Date: 2024-11-04
Maintainer: Jesse Miller <mill9116@umn.edu>
Description: Implements distribution-free goodness-of-fit regression testing for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>.
License: GPL-3
NeedsCompilation: no
Packaged: 2024-11-07 18:52:22 UTC; Jesse
Author: Jesse Miller [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-11 12:00:04 UTC

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Package cheapr updated to version 0.9.91 with previous version 0.9.9 dated 2024-10-14

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between cheapr versions 0.9.9 dated 2024-10-14 and 0.9.91 dated 2024-11-11

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More information about cheapr at CRAN
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Package stochvolTMB (with last version 0.2.0) was removed from CRAN

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

2021-08-13 0.2.0
2020-09-04 0.1.2
2020-09-02 0.1.0
2020-09-02 0.1.1

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Package pwrFDR (with last version 2.8.9) was removed from CRAN

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

2021-05-12 2.8.9
2021-01-14 2.8.7
2020-11-03 2.8.6
2020-09-26 2.8.4
2018-08-22 1.95
2018-04-09 1.90
2018-01-25 1.85
2018-01-17 1.80

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Package topmodel (with last version 0.7.5) was removed from CRAN

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

2022-11-16 0.7.5
2022-05-05 0.7.4
2018-02-01 0.7.3
2011-01-11 0.7.2-2
2010-04-12 0.7.2-1
2010-02-24 0.7.2
2010-01-07 0.7.1
2009-08-16 0.7.0
2009-05-17 0.6.2
2009-01-12 0.6.1
2009-01-11 0.6
2008-08-06 0.5

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Package compHclust (with last version 1.0-3) was removed from CRAN

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

2017-05-04 1.0-3
2014-01-03 1.0-2
2010-02-28 1.0-1
2008-02-14 1.0

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Package fastdigest (with last version 0.6-4) was removed from CRAN

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

2024-04-05 0.6-4

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Package depmix (with last version 0.9.16) was removed from CRAN

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

2020-01-10 0.9.16
2018-12-08 0.9.15
2016-02-22 0.9.14
2014-12-21 0.9.13
2014-04-02 0.9.12
2014-02-20 0.9.11
2011-11-07 0.9.10
2011-09-26 0.9.9
2010-01-21 0.9.8
2009-11-09 0.9.7
2009-07-18 0.9.6
2008-08-07 0.9.4
2007-11-26 0.9.3
2007-10-21 0.9.2
2006-07-13 0.9.1

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Package interpret (with last version 0.1.33) was removed from CRAN

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

2023-01-27 0.1.33
2023-01-26 0.1.28

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Package WpProj (with last version 0.2.1) was removed from CRAN

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

2024-02-02 0.2.1
2024-01-22 0.2

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Package iRafNet (with last version 1.1-1) was removed from CRAN

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

2016-10-26 1.1-1
2016-01-27 0.1-1

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Package kdpee (with last version 1.0.0) was removed from CRAN

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

2021-06-29 1.0.0

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Package approxOT (with last version 1.1.1) was removed from CRAN

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

2024-01-30 1.1.1
2024-01-16 1.1

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Package icrf (with last version 2.0.2) was removed from CRAN

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

2022-10-29 2.0.2
2021-05-17 2.0.0
2020-01-23 1.0.0

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Package erboost (with last version 1.4) was removed from CRAN

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

2024-01-19 1.4

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Package EBglmnet (with last version 6.0) was removed from CRAN

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

2023-05-24 6.0
2023-05-13 5.3
2022-12-22 5.2

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Package BBSSL (with last version 0.1.0) was removed from CRAN

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

2021-04-27 0.1.0

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Package DynamicGP (with last version 1.1-9) was removed from CRAN

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

2022-11-08 1.1-9
2022-04-12 1.1-8
2021-08-09 1.1-7
2020-04-19 1.1-6
2019-11-19 1.1-5
2019-07-15 1.1-4

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Package FLLat (with last version 1.2-1) was removed from CRAN

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

2017-05-22 1.2-1
2015-09-16 1.2
2014-01-06 1.1
2011-06-05 1.0

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Package TDboost (with last version 1.5) was removed from CRAN

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

2024-01-18 1.5

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Package EDMeasure (with last version 1.2.0) was removed from CRAN

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

2018-02-25 1.2.0
2018-02-13 1.1.0
2018-02-12 1.0.0

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Package Rgb (with last version 1.7.5) was removed from CRAN

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

2023-08-18 1.7.5

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