Thu, 21 Nov 2024

Package jointVIP updated to version 1.0.0 with previous version 0.1.2 dated 2023-03-08

Title: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design
Description: In the observational study design stage, matching/weighting methods are conducted. However, when many background variables are present, the decision as to which variables to prioritize for matching/weighting is not trivial. Thus, the joint treatment-outcome variable importance plots are created to guide variable selection. The joint variable importance plots enhance variable comparisons via unadjusted bias curves derived under the omitted variable bias framework. The plots translate variable importance into recommended values for tuning parameters in existing methods. Post-matching and/or weighting plots can also be used to visualize and assess the quality of the observational study design. The method motivation and derivation is presented in "Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot" by Liao et al. (2024) <doi:10.1080/00031305.2024.2303419>. See the package paper by Liao and Pimentel (2024) <doi:10.21105/joss.06093> for [...truncated...]
Author: Lauren D. Liao [aut, cre] , Samuel D. Pimentel [aut]
Maintainer: Lauren D. Liao <ldliao@berkeley.edu>

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Package AllelicSeries updated to version 0.1.1.1 with previous version 0.1.0.2 dated 2024-10-22

Title: Allelic Series Test
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, O’Dushlaine C, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2023) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1016/j.ajhg.2023.07.001>.
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , Thomas Soare [ctb] , Jianhui Gao [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>

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Package tidyvpc updated to version 1.5.2 with previous version 1.5.1 dated 2024-01-18

Title: VPC Percentiles and Prediction Intervals
Description: Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from 'magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction.
Author: Olivier Barriere [aut], Benjamin Rich [aut], James Craig [aut, cre] , Samer Mouksassi [aut], Bill Denney [ctb] , Michael Tomashevskiy [ctb], Kris Jamsen [ctb], Certara USA, Inc. [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>

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Package fragility updated to version 1.6 with previous version 1.5 dated 2024-08-18

Title: Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes
Description: A collection of user-friendly functions for assessing and visualizing fragility of individual studies (Walsh et al., 2014 <doi:10.1016/j.jclinepi.2013.10.019>; Lin, 2021 <doi:10.1111/jep.13428>), conventional pairwise meta-analyses (Atal et al., 2019 <doi:10.1016/j.jclinepi.2019.03.012>), and network meta-analyses of multiple treatments with binary outcomes (Xing et al., 2020 <doi:10.1016/j.jclinepi.2020.07.003>). The included functions are designed to: 1) calculate the fragility index (i.e., the minimal event status modifications that can alter the significance or non-significance of the original result) and fragility quotient (i.e., fragility index divided by sample size) at a specific significance level; 2) give the cases of event status modifications for altering the result's significance or non-significance and visualize these cases; 3) visualize the trend of statistical significance as event status is modified; 4) efficiently derive fragility indexes and f [...truncated...]
Author: Lifeng Lin [aut, cre] , Haitao Chu [aut]
Maintainer: Lifeng Lin <lifenglin@arizona.edu>

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Package rxode2ll updated to version 2.0.12 with previous version 2.0.11 dated 2023-03-17

Title: Log-Likelihood Functions for 'rxode2'
Description: Provides the log-likelihoods with gradients from 'stan' (Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed for generalized log-likelihood estimation in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This is split of to reduce computational burden of recompiling 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs the 'nlmixr2' models during estimation.
Author: Matthew L. Fidler [aut, cre]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package RLoptimal updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-03

Title: Optimal Adaptive Allocation Using Deep Reinforcement Learning
Description: An implementation to compute an optimal adaptive allocation rule using deep reinforcement learning in a dose-response study (Matsuura et al. (2022) <doi:10.1002/sim.9247>). The adaptive allocation rule can directly optimize a performance metric, such as power, accuracy of the estimated target dose, or mean absolute error over the estimated dose-response curve.
Author: Kentaro Matsuura [aut, cre, cph] , Koji Makiyama [aut, ctb]
Maintainer: Kentaro Matsuura <matsuurakentaro55@gmail.com>

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New package table.glue with initial version 0.0.5
Package: table.glue
Title: Make and Apply Customized Rounding Specifications for Tables
Version: 0.0.5
Description: Translate double and integer valued data into character values formatted for tabulation in manuscripts or other types of academic reports.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr, knitr, rmarkdown, magrittr, dplyr, tidyr, tibble, gt
Imports: glue, stringi
URL: https://github.com/bcjaeger/table.glue
BugReports: https://github.com/bcjaeger/table.glue/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-21 19:34:44 UTC; bjaeger
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>
Repository: CRAN
Date/Publication: 2024-11-21 21:20:02 UTC

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Package rTwig updated to version 1.3.0 with previous version 1.2.0 dated 2024-11-08

Title: Realistic Quantitative Structure Models
Description: Real Twig is a method to correct branch overestimation in quantitative structure models. Overestimated cylinders are correctly tapered using measured twig diameters of corresponding tree species. Supported quantitative structure modeling software includes 'TreeQSM', 'SimpleForest', 'Treegraph', and 'aRchi'. Also included is a novel database of twig diameters and tools for fractal analysis of point clouds.
Author: Aidan Morales [aut, cre, cph] , David W. MacFarlane [aut, cph]
Maintainer: Aidan Morales <moral169@msu.edu>

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Package proteomicsCV updated to version 0.4.0 with previous version 0.3.0 dated 2024-08-16

Title: Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data
Description: Calculates the percentage coefficient of variation (CV) for mass spectrometry-based proteomic data. The CV can be calculated with the traditional formula for raw (non log transformed) intensity data, or log transformed data.
Author: Alejandro Brenes [aut, cre]
Maintainer: Alejandro Brenes <abrenes@ed.ac.uk>

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Package mlr3mbo updated to version 0.2.8 with previous version 0.2.7 dated 2024-11-15

Title: Flexible Bayesian Optimization
Description: A modern and flexible approach to Bayesian Optimization / Model Based Optimization building on the 'bbotk' package. 'mlr3mbo' is a toolbox providing both ready-to-use optimization algorithms as well as their fundamental building blocks allowing for straightforward implementation of custom algorithms. Single- and multi-objective optimization is supported as well as mixed continuous, categorical and conditional search spaces. Moreover, using 'mlr3mbo' for hyperparameter optimization of machine learning models within the 'mlr3' ecosystem is straightforward via 'mlr3tuning'. Examples of ready-to-use optimization algorithms include Efficient Global Optimization by Jones et al. (1998) <doi:10.1023/A:1008306431147>, ParEGO by Knowles (2006) <doi:10.1109/TEVC.2005.851274> and SMS-EGO by Ponweiser et al. (2008) <doi:10.1007/978-3-540-87700-4_78>.
Author: Lennart Schneider [cre, aut] , Jakob Richter [aut] , Marc Becker [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Florian Pfisterer [aut] , Martin Binder [aut], Sebastian Fischer [aut] , Michael H. Buselli [cph], Wessel Dankers [cph], Carlos Fonseca [...truncated...]
Maintainer: Lennart Schneider <lennart.sch@web.de>

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Package DRIP updated to version 2.3 with previous version 2.2 dated 2024-11-18

Title: Discontinuous Regression and Image Processing
Description: A collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection. The implemented methods are based on the following research: Qiu, P. (1998) <doi:10.1214/aos/1024691468>, Qiu, P. and Yandell, B. (1997) <doi: 10.1080/10618600.1997.10474746>, Qiu, P. (2009) <doi: 10.1007/s10463-007-0166-9>, Kang, Y. and Qiu, P. (2014) <doi: 10.1080/00401706.2013.844732>, Qiu, P. and Kang, Y. (2015) <doi: 10.5705/ss.2014.054>, Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) <doi: 10.1080/00401706.2017.1415975>, Kang, Y. (2020) <doi: 10.1080/10618600.2019.1665536>.
Author: Yicheng Kang [aut, cre], Peihua Qiu [aut, ctb]
Maintainer: Yicheng Kang <kangyicheng0527@gmail.com>

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Package bindr updated to version 0.1.2 with previous version 0.1.1 dated 2018-03-13

Title: Parametrized Active Bindings
Description: Provides a simple interface for creating active bindings where the bound function accepts additional arguments.
Author: Kirill Mueller [aut, cre] , RStudio [cph, fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package ARDECO updated to version 2.1.0 with previous version 2.0.0 dated 2024-08-27

Title: Annual Regional Database of the European Commission (ARDECO)
Description: A set of functions to access the 'ARDECO' (Annual Regional Database of the European Commission) data directly from the official ARDECO public repository through the exploitation of the 'ARDECO' APIs. The APIs are completely transparent to the user and the provided functions provide a direct access to the 'ARDECO' data. The 'ARDECO' database is a collection of variables related to demography, employment, labour market, domestic product, capital formation. Each variable can be exposed in one or more units of measure as well as refers to total values plus additional dimensions like economic sectors, gender, age classes. Data can be also aggregated at country level according to the tercet classes as defined by EUROSTAT. The description of the 'ARDECO' database can be found at the following URL <https://urban.jrc.ec.europa.eu/ardeco>.
Author: Carmelo Attardo [cre], Giuseppe Bucciarelli [aut], European Commission, JRC [cph]
Maintainer: Carmelo Attardo <carmelo.attardo@ec.europa.eu>

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Package ILSAmerge updated to version 1.2.5 with previous version 1.0.0 dated 2024-11-08

Title: Merge and Download International Large-Scale Assessments (ILSA) Data
Description: Merges and downloads 'SPSS' data from different International Large-Scale Assessments (ILSA), including: Trends in International Mathematics and Science Study (TIMSS), Progress in International Reading Literacy Study (PIRLS), Programme for International Student Assessment (PISA), and others.
Author: Andres Christiansen [aut, cre]
Maintainer: Andres Christiansen <andres.christiansen@iea-hamburg.de>

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Package padr updated to version 0.6.3 with previous version 0.6.2 dated 2022-11-23

Title: Quickly Get Datetime Data Ready for Analysis
Description: Transforms datetime data into a format ready for analysis. It offers two core functionalities; aggregating data to a higher level interval (thicken) and imputing records where observations were absent (pad).
Author: Edwin Thoen [aut, cre]
Maintainer: Edwin Thoen <edwinthoen@gmail.com>

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Package maestro updated to version 0.4.0 with previous version 0.3.0 dated 2024-09-23

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

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Package inlabru updated to version 2.12.0 with previous version 2.11.1 dated 2024-07-01

Title: Bayesian Latent Gaussian Modelling using INLA and Extensions
Description: Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
Author: Finn Lindgren [aut, cre, cph] , Fabian E. Bachl [aut, cph] , David L. Borchers [ctb, dtc, cph] , Daniel Simpson [ctb, cph] , Lindesay Scott-Howard [ctb, dtc, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb, cph] , Roudier Pierre [ctb, cph] , Meehan Tim [ [...truncated...]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package duckdb updated to version 1.1.3 with previous version 1.1.2 dated 2024-10-30

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between duckdb versions 1.1.2 dated 2024-10-30 and 1.1.3 dated 2024-11-21

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Package divDyn updated to version 0.8.3 with previous version 0.8.2 dated 2022-09-05

Title: Diversity Dynamics using Fossil Sampling Data
Description: Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well as other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2019) <doi:10.1101/423780>.
Author: Adam T. Kocsis [cre, aut] , John Alroy [aut] , Carl J. Reddin [aut] , Wolfgang Kiessling [aut] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

Diff between divDyn versions 0.8.2 dated 2022-09-05 and 0.8.3 dated 2024-11-21

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New package xpose.xtras with initial version 0.0.2
Package: xpose.xtras
Title: Extra Functionality for the 'xpose' Package
Version: 0.0.2
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, cli, colorspace, conflicted, dplyr (>= 1.1.2), forcats (>= 1.0.0), GGally, ggplot2 (>= 3.4.2), glue, lifecycle, magrittr, pmxcv, purrr (>= 1.0.1), readr (>= 2.1.4), rlang, stats, stringr (>= 1.5.0), tibble (>= 3.2.1), tidyr (>= 1.3.0), tidyselect, utils, vctrs, xpose
Suggests: DiagrammeR, grDevices, knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
URL: https://jprybylski.github.io/xpose.xtras/, https://github.com/jprybylski/xpose.xtras
NeedsCompilation: no
Packaged: 2024-11-20 19:03:45 UTC; PRYBYJ
Author: John Prybylski [aut, cre]
Maintainer: John Prybylski <john.prybylski@pfizer.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:20:02 UTC

More information about xpose.xtras at CRAN
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New package transDA with initial version 1.0.0
Package: transDA
Title: Transformation Discriminant Analysis
Date: 2024-11-05
Version: 1.0.0
Maintainer: Jing Li <jli178@crimson.ua.edu>
Author: Jing Li [aut, cre], Yana Melnykov [aut]
Description: Performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
ByteCompile: true
NeedsCompilation: yes
Imports: mvtnorm
Packaged: 2024-11-21 16:11:59 UTC; jingli
Date/Publication: 2024-11-21 18:00:02 UTC

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New package TimeDepFrail with initial version 0.0.0.9
Package: TimeDepFrail
Title: Time Dependent Shared Frailty Cox Model
Version: 0.0.0.9
Description: Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports:
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-21 12:47:56 UTC; alessandragni
Author: Alessandra Ragni [aut, cre] , Giulia Romani [aut], Chiara Masci [ctb]
Maintainer: Alessandra Ragni <alessandra.ragni@polimi.it>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:16 UTC

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New package scoutbaR with initial version 0.0.1
Package: scoutbaR
Title: A Spotlight 'React' Widget for 'shiny' Apps
Version: 0.0.1
Description: Creates a contextual menu that can be triggered with keyboard shortcuts or programmatically. This can replace traditional sidebars or navigation bars, thereby enhancing the user experience with lighter user interfaces.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: htmltools, reactR, shiny
Suggests: testthat (>= 3.0.0), shinytest2
NeedsCompilation: no
Packaged: 2024-11-21 11:12:07 UTC; davidgranjon
Author: David Granjon [aut, cre], Adenekan Wonderful [cph]
Maintainer: David Granjon <dgranjon@ymail.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:02 UTC

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New package roxy.shinylive with initial version 1.0.0
Package: roxy.shinylive
Title: A 'roxygen2' Extension for 'Shinylive'
Version: 1.0.0
Description: An extension for 'roxygen2' to embed 'Shinylive' applications in the package documentation.
License: Apache License 2.0
URL: https://github.com/insightsengineering/roxy.shinylive/
BugReports: https://github.com/insightsengineering/roxy.shinylive/issues
Depends: R (>= 4.0)
Imports: glue, jsonlite (>= 1.8.6), lzstring (>= 0.1.3), roxygen2 (>= 7.2.0), stringr (>= 0.4)
Suggests: pkgdown (>= 2.0.0), testthat (>= 3.1.5), withr (>= 2.4.3)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-11-21 10:51:44 UTC; ruckip
Author: Pawel Rucki [aut, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Pawel Rucki <pawel.rucki@roche.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:40:06 UTC

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New package mlms with initial version 1.0.2
Package: mlms
Title: Multilevel Monitoring System Data for Wells in the USGS INL Aquifer Monitoring Network
Version: 1.0.2
Description: Analysis-ready datasets detailing the Multilevel Monitoring System (MLMS) wells within the U.S. Geological Survey's (USGS) aquifer-monitoring network at the Idaho National Laboratory (INL) in Idaho, and the data collected within these wells. Supported by the U.S. Department of Energy (DOE), the USGS collected discrete measurements of hydraulic head at various depths from wells in the eastern Snake River Plain (ESRP) aquifer over several years. These measurements were derived from data on fluid pressure, fluid temperature, and atmospheric pressure. Each well was equipped with an MLMS, which included valved measurement ports, packer bladders, casing segments, and couplers. The MLMS facilitated monitoring at multiple hydraulically isolated depth intervals, reaching significant depths below the land surface. Additionally, groundwater samples were collected from these wells over multiple years and analyzed for various chemical and physical parameters.
Depends: R (>= 4.1)
Imports: checkmate, graphics, grDevices, jsonlite, plotrix, readxl, stats, sf, stringi, tools, utils
Suggests: connectapi, covr, dm, DiagrammeR, DiagrammeRsvg, fontawesome, htmltools, htmlwidgets, inldata, knitr, pkgbuild, pkgdown, pkgload, rcmdcheck, reactable, renv, rmarkdown, roxygen2, tinytest, V8, webmap
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://code.usgs.gov/inl/mlms
BugReports: https://code.usgs.gov/inl/mlms/-/issues
NeedsCompilation: no
Packaged: 2024-11-20 22:40:52 UTC; jfisher
Author: Jason C. Fisher [aut, cre] , Brian V. Twining [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2024-11-21 17:30:02 UTC

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New package matchedcc with initial version 0.1.1
Package: matchedcc
Title: 'Stata'-Like Matched Case-Control Analysis
Version: 0.1.1
Date: 2024-11-19
Maintainer: Simon R Parker <simon.parker.24@ucl.ac.uk>
Description: Calculate multiple statistics with confidence intervals for matched case-control data including risk difference, risk ratio, relative difference, and the odds ratio. Results are equivalent to those from 'Stata', and you can choose how to format your input data. Methods used are those described on page 56 the 'Stata' documentation for "Epitab - Tables for Epidemologists" <https://www.stata.com/manuals/repitab.pdf>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/simpar1471/matchedcc/, https://simpar1471.github.io/matchedcc/
BugReports: https://github.com/simpar1471/matchedcc/issues
Depends: R (>= 4.1.0)
Imports: checkmate, stats, cli, binom
Suggests: testthat (>= 3.0.0), readr, vctrs, stringr, purrr, knitr, rmarkdown, RStata
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-20 17:22:43 UTC; tadeo
Author: Simon R Parker [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-21 17:10:02 UTC

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New package kendallknight with initial version 0.4.0
Package: kendallknight
Title: Efficient Implementation of Kendall's Correlation Coefficient Computation
Version: 0.4.0
Imports: stats
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Depends: R(>= 3.5.0)
Description: The computational complexity of the implemented algorithm for Kendall's correlation is O(n log(n)), which is faster than the base R implementation with a computational complexity of O(n^2). For small vectors (i.e., less than 100 observations), the time difference is negligible. However, for larger vectors, the speed difference can be substantial and the numerical difference is minimal. The references are Knight (1966) <doi:10.2307/2282833>, Abrevaya (1999) <doi:10.1016/S0165-1765(98)00255-9>, Christensen (2005) <doi:10.1007/BF02736122> and Emara (2024) <https://learningcpp.org/>. This implementation is described in Vargas Sepulveda (2024) <doi:10.48550/arXiv.2408.09618>.
License: Apache License (>= 2)
BugReports: https://github.com/pachadotdev/capybara/issues
URL: https://pacha.dev/capybara/, https://github.com/pachadotdev/capybara
Encoding: UTF-8
NeedsCompilation: yes
LinkingTo: cpp11
VignetteBuilder: knitr
Language: en-US
LazyData: true
Packaged: 2024-11-20 15:49:09 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Loader Catherine [ctb] ), Ross Ihaka [ctb] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-11-21 17:10:06 UTC

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New package eva3dm with initial version 0.99
Package: eva3dm
Title: Evaluation of 3D Meteorological and Air Quality Models
Version: 0.99
Date: 2024-11-19
Description: Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Maintainer: Daniel Schuch <underschuch@gmail.com>
License: MIT + file LICENSE
Imports: terra, ncdf4, utils
Suggests: riem, testthat (>= 3.0.0)
Encoding: UTF-8
BugReports: https://github.com/Schuch666/eva3dm/issues/
Depends: R (>= 3.5.0)
URL: https://schuch666.github.io/eva3dm/
NeedsCompilation: no
Packaged: 2024-11-21 05:25:28 UTC; under
Author: Daniel Schuch [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-21 17:40:11 UTC

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New package covalchemy with initial version 1.0.0
Package: covalchemy
Title: Constructing Joint Distributions with Control Over Statistical Properties
Version: 1.0.0
Description: Synthesizing joint distributions from marginal densities, focusing on controlling key statistical properties such as correlation for continuous data, mutual information for categorical data, and inducing Simpson's Paradox. Generate datasets with specified correlation structures for continuous variables, adjust mutual information between categorical variables, and manipulate subgroup correlations to intentionally create Simpson's Paradox. Joe (1997) <doi:10.1201/b13150> Sklar (1959) <https://en.wikipedia.org/wiki/Sklar%27s_theorem>.
Encoding: UTF-8
Imports: dplyr, ggplot2, mvtnorm, interp, clue, ggExtra, gridExtra, DescTools, MASS
Depends: R (>= 3.5.0)
License: GPL-3
BugReports: https://github.com/namanlab/covalchemy/issues
URL: https://github.com/namanlab/covalchemy
NeedsCompilation: no
Packaged: 2024-11-20 14:57:15 UTC; namanagrawal
Author: Naman Agrawal [aut, cre]
Maintainer: Naman Agrawal <naman.agr03@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 17:10:11 UTC

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New package cohetsurr with initial version 1.0
Package: cohetsurr
Title: Assessing Complex Heterogeneity in Surrogacy
Version: 1.0
Date: 2024-11-20
Description: Provides functions to assess and test for complex heterogeneity in the utility of a surrogate marker with respect to multiple baseline covariates, using both a parametric model and a semiparametric two-step model. More details will be available in the future in: Knowlton, R., Tian, L., Parast, L. (2024) ``A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker."
License: GPL
Imports: stats, matrixStats, mvtnorm
NeedsCompilation: no
Packaged: 2024-11-20 18:08:26 UTC; rkkno
Author: Rebecca Knowlton [aut, cre]
Maintainer: Rebecca Knowlton <rknowlton@utexas.edu>
Repository: CRAN
Date/Publication: 2024-11-21 17:20:07 UTC

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New package chooseGCM with initial version 1.0.1
Package: chooseGCM
Title: Selecting General Circulation Models for Species Distribution Modeling
Version: 1.0.1
Maintainer: Luiz Esser <luizesser@gmail.com>
Description: Methods to help selecting General Circulation Models (GCMs) in the context of projecting models to future scenarios. It is provided clusterization algorithms, distance and correlation metrics, as well as a tailor-made algorithm to detect the optimum subset of GCMs that recreate the environment of all GCMs.
License: MIT + file LICENSE
Imports: checkmate, cluster, cowplot, factoextra, ggcorrplot, ggplot2, graphics, httr, methods, reshape2, stats, terra, usedist, utils
Encoding: UTF-8
Suggests: tictoc, testthat, sf, knitr, raster, rmarkdown, stars
URL: https://luizesser.github.io/chooseGCM/, https://github.com/luizesser/chooseGCM
VignetteBuilder: knitr
BugReports: https://github.com/luizesser/chooseGCM/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-11-20 20:10:59 UTC; luizesser
Author: Dayani Baili [aut] , Reginaldo Re [aut] , Marcos Lima [aut] , Luiz Esser [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-21 17:20:11 UTC

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Package templateICAr updated to version 0.9.1 with previous version 0.8.8 dated 2024-10-14

Title: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
Description: Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

Diff between templateICAr versions 0.8.8 dated 2024-10-14 and 0.9.1 dated 2024-11-21

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 19 files changed, 38 insertions(+), 45 deletions(-)

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Package dataCompare updated to version 1.0.4 with previous version 1.0.3 dated 2024-11-14

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 1.0.3 dated 2024-11-14 and 1.0.4 dated 2024-11-21

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Package wrGraph updated to version 1.3.8 with previous version 1.3.7 dated 2024-01-22

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.7 dated 2024-01-22 and 1.3.8 dated 2024-11-21

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Package redatamx updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-29

Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open/close a database (redatam_open()/redatam_close()), list entities and variables from the database (redatam_entities(), redatam_variables()) and execute a 'SPC' program and gets the results as data frames (redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>

Diff between redatamx versions 1.0.0 dated 2024-10-29 and 1.0.1 dated 2024-11-21

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Package RBesT updated to version 1.7-4 with previous version 1.7-3 dated 2024-01-08

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

Diff between RBesT versions 1.7-3 dated 2024-01-08 and 1.7-4 dated 2024-11-21

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 tests/testthat/test-pos1S.R        |   11 
 tests/testthat/test-pos2S.R        |   38 
 tests/testthat/test-postmix.R      |    1 
 tests/testthat/test-preddist.R     |   13 
 tests/testthat/test-utils.R        |   74 
 vignettes/introduction.Rmd         |   16 
 63 files changed, 2665 insertions(+), 2599 deletions(-)

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Package lehdr updated to version 1.1.4 with previous version 1.1.3 dated 2023-11-27

Title: Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files
Description: Designed to query Longitudinal Employer-Household Dynamics (LEHD) workplace/residential association and origin-destination flat files and optionally aggregate Census block-level data to block group, tract, county, or state. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES8/>.
Author: Jamaal Green [cre, aut], Liming Wang [aut], Dillon Mahmoudi [aut], Matthew Rogers [ctb], Kyle Walker [ctb]
Maintainer: Jamaal Green <jamaal.green@gmail.com>

Diff between lehdr versions 1.1.3 dated 2023-11-27 and 1.1.4 dated 2024-11-21

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 vignettes/getting_started.Rmd |  342 ++++++-------
 16 files changed, 1820 insertions(+), 1820 deletions(-)

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New package dhis2r with initial version 0.3.0
Package: dhis2r
Title: Client for the 'DHIS2' Web API
Version: 0.3.0
Description: Connect and pull data from a 'DHIS2 (District Health Information Software 2)' instance into R.
License: MIT + file LICENSE
URL: https://github.com/amanyiraho/dhis2r
BugReports: https://github.com/amanyiraho/dhis2r/issues
Imports: attempt (>= 0.3.1), curl (>= 4.3.3), dplyr (>= 1.0.10), httr2 (>= 0.2.2), R6 (>= 2.5.1)
Suggests: covr, httptest2, knitr, rmarkdown, testthat
Depends: R (>= 4.1.0)
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-11-21 10:53:15 UTC; am
Author: Robinson Amanyiraho [cre, aut, cph]
Maintainer: Robinson Amanyiraho <amanyiraho@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 11:30:06 UTC

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Package StratPal updated to version 0.3.0 with previous version 0.2.0 dated 2024-10-04

Title: Stratigraphic Paleobiology Modeling Pipelines
Description: The fossil record is a joint expression of ecological, taphonomic, evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382). This package allowing to simulate biological processes in the time domain (e.g., trait evolution, fossil abundance), and examine how their expression in the rock record (stratigraphic domain) is influenced based on age-depth models, ecological niche models, and taphonomic effects. Functions simulating common processes used in modeling trait evolution or event type data such as first/last occurrences are provided and can be used standalone or as part of a pipeline. The package comes with example data sets and tutorials in several vignettes, which can be used as a template to set up one's own simulation.
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>

Diff between StratPal versions 0.2.0 dated 2024-10-04 and 0.3.0 dated 2024-11-21

 DESCRIPTION                              |    6 
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 NAMESPACE                                |    1 
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 26 files changed, 1134 insertions(+), 1122 deletions(-)

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Package ceterisParibus updated to version 0.6 with previous version 0.4.2 dated 2020-03-27

Title: Ceteris Paribus Profiles
Description: Ceteris Paribus Profiles (What-If Plots) are designed to present model responses around selected points in a feature space. For example around a single prediction for an interesting observation. Plots are designed to work in a model-agnostic fashion, they are working for any predictive Machine Learning model and allow for model comparisons. Ceteris Paribus Plots supplement the Break Down Plots from 'breakDown' package.
Author: Przemyslaw Biecek [aut, cre]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ceterisParibus versions 0.4.2 dated 2020-03-27 and 0.6 dated 2024-11-21

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 ceterisParibus-0.6/ceterisParibus/DESCRIPTION                                      |   11 +--
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 ceterisParibus-0.6/ceterisParibus/NEWS.md                                          |   23 +++---
 ceterisParibus-0.6/ceterisParibus/R/calculate_profiles.R                           |   12 ++-
 ceterisParibus-0.6/ceterisParibus/R/calculate_profiles_lce.R                       |    1 
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 ceterisParibus-0.6/ceterisParibus/R/plot_ceteris_paribus.R                         |    2 
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 ceterisParibus-0.6/ceterisParibus/man/select_sample.Rd                             |    2 
 21 files changed, 72 insertions(+), 56 deletions(-)

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Package datacutr (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:

2024-11-19 0.2.0
2023-03-31 0.1.0

Permanent link
Package rgl2gltf updated to version 1.0.7 with previous version 1.0.5 dated 2024-09-24

Title: Read and Write '.gltf' and '.glb' Files
Description: The 'glTF' file format is used to describe 3D models. This package provides read and write functions to work with it.
Author: Duncan Murdoch [aut, cre], Morten S. Mikkelsen [cph]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

Diff between rgl2gltf versions 1.0.5 dated 2024-09-24 and 1.0.7 dated 2024-11-21

 DESCRIPTION             |    6 +++---
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 5 files changed, 26 insertions(+), 23 deletions(-)

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Package powertools updated to version 0.1.2 with previous version 0.1.0 dated 2024-11-14

Title: Power and Sample Size Tools
Description: Power and sample size calculations for a variety of study designs and outcomes. Methods include t tests, ANOVA (including tests for interactions, simple effects and contrasts), proportions, categorical data (chi-square tests and proportional odds), linear, logistic and Poisson regression, alternative and coprimary endpoints, power for confidence intervals, correlation coefficient tests, cluster randomized trials, individually randomized group treatment trials, multisite trials, treatment-by-covariate interaction effects and nonparametric tests of location. Utilities are provided for computing various effect sizes. Companion package to the book "Power and Sample Size in R", Crespi (2025, ISBN:9781138591622).
Author: Catherine M. Crespi [aut, cre], Zichen Liu [aut], Kristen M. McGreevy [ctb]
Maintainer: Catherine M. Crespi <ccrespi@ucla.edu>

Diff between powertools versions 0.1.0 dated 2024-11-14 and 0.1.2 dated 2024-11-21

 DESCRIPTION         |    6 +-
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Package packcircles updated to version 0.3.7 with previous version 0.3.6 dated 2023-09-08

Title: Circle Packing
Description: Algorithms to find arrangements of non-overlapping circles.
Author: Michael Bedward [aut, cre], David Eppstein [aut] , Peter Menzel [aut]
Maintainer: Michael Bedward <michael.bedward@gmail.com>

Diff between packcircles versions 0.3.6 dated 2023-09-08 and 0.3.7 dated 2024-11-21

 DESCRIPTION                       |   12 +-
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 README.md                         |    9 +-
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Package aLBI updated to version 0.1.7 with previous version 0.1.6 dated 2024-11-13

Title: Estimating Length-Based Indicators for Fish Stock
Description: Provides tools for estimating length-based indicators from length frequency data to assess fish stock status and manage fisheries sustainably. Implements methods from Cope and Punt (2009) <doi:10.1577/C08-025.1> for data-limited stock assessment and Froese (2004) <doi:10.1111/j.1467-2979.2004.00144.x> for detecting overfishing using simple indicators. Key functions include: FrequencyTable(): Calculate the frequency table from the collected and also the extract the length frequency data from the frequency table with the upper length_range. A numeric value specifying the bin width for class intervals. If not provided, the bin width is automatically calculated using Sturges (1926) <doi:10.1080/01621459.1926.10502161> formula. CalPar(): Calculates various lengths used in fish stock assessment as biological length indicators such as asymptotic length (Linf), maximum length (Lmax), length at sexual maturity (Lm), and optimal length (Lopt). FishPar(): Calculates length-based [...truncated...]
Author: Ataher Ali [aut, cre], Mohammed Shahidul Alam [aut]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>

Diff between aLBI versions 0.1.6 dated 2024-11-13 and 0.1.7 dated 2024-11-21

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 NAMESPACE                  |    7 -
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 R/FrequencyTable.R         |   73 +++++++++-------
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 man/FrequencyTable.Rd      |   26 ++---
 vignettes/Introduction.Rmd |   14 +--
 10 files changed, 287 insertions(+), 209 deletions(-)

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New package scregclust with initial version 0.1.10
Package: scregclust
Title: Reconstructing the Regulatory Programs of Target Genes in scRNA-Seq Data
Version: 0.1.10
Description: Implementation of the scregclust algorithm described in Larsson, Held, et al. (2024) <doi:10.1038/s41467-024-53954-3> which reconstructs regulatory programs of target genes in scRNA-seq data. Target genes are clustered into modules and each module is associated with a linear model describing the regulatory program.
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Matrix, stats, methods, utils, reshape, igraph, graphics, grid, cli, prettyunits, ggplot2, rlang, Rcpp (>= 1.0.8)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Seurat (>= 5.0.0), glmGamPoi, hdf5r
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
License: GPL (>= 3)
URL: https://scmethods.github.io/scregclust/, https://github.com/scmethods/scregclust/
BugReports: https://github.com/scmethods/scregclust/issues
NeedsCompilation: yes
Packaged: 2024-11-20 09:16:53 UTC; felixheld
Author: Felix Held [aut, cre] , Ida Larsson [aut] , Sven Nelander [aut]
Maintainer: Felix Held <felix.held@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 07:30:02 UTC

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New package OutcomeWeights with initial version 0.1.0
Package: OutcomeWeights
Title: Outcome Weights of Treatment Effect Estimators
Version: 0.1.0
Description: Many treatment effect estimators can be written as weighted outcomes. These weights have established use cases like checking covariate balancing via packages like 'cobalt'. This package takes the original estimator objects and outputs these outcome weights. It builds on the general framework of Knaus (2024) <doi:10.48550/arXiv.2411.11559>. This version is compatible with the 'grf' package and provides an internal implementation of Double Machine Learning.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/MCKnaus/OutcomeWeights
BugReports: https://github.com/MCKnaus/OutcomeWeights/issues
Imports: ggplot2, grf, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-11-20 13:34:23 UTC; Michael
Author: Michael C. Knaus [aut, cre] , Henri Pfleiderer [ctb]
Maintainer: Michael C. Knaus <michael.knaus@uni-tuebingen.de>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:10 UTC

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New package CTTvis with initial version 0.1.0
Package: CTTvis
Title: Visualize Item Metrics of the Classical Test Theory Framework
Version: 0.1.0
Description: Visualizes results of item analysis such as item difficulty, item discrimination, and coefficient alpha for ease of result communication.
License: GPL-3
URL: https://github.com/TaridWong/CTTvis
Depends: R (>= 4.3)
Imports: CTT (>= 2.3.3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-20 06:38:06 UTC; tarid
Author: Tarid Wongvorachan [aut, cre, cph]
Maintainer: Tarid Wongvorachan <taridwongvorachan@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 07:30:07 UTC

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New package consrq with initial version 1.0
Package: consrq
Title: Constrained Quantile Regression
Version: 1.0
Date: 2024-11-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Suggests: Rfast2, cols
Imports: quantreg, Rfast
Description: Constrained quantile regression is performed. One constraint is that all beta coefficients (including the constant) cannot be negative, they can be either 0 or strictly positive. Another constraint is that the beta coefficients lie within an interval. References: Koenker R. (2005) Quantile Regression, Cambridge University Press. <doi:10.1017/CBO9780511754098>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-11-20 13:44:36 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-11-21 08:00:03 UTC

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New package cisp with initial version 0.1.0
Package: cisp
Title: A Correlation Indicator Based on Spatial Patterns
Version: 0.1.0
Description: Use the spatial association marginal contributions derived from spatial stratified heterogeneity to capture the degree of correlation between spatial patterns.
License: GPL-3
Encoding: UTF-8
URL: https://stscl.github.io/cisp/, https://github.com/stscl/cisp
BugReports: https://github.com/stscl/cisp/issues
Depends: R (>= 4.1.0)
Imports: dplyr, forcats, gdverse (>= 1.3), ggplot2, ggraph, igraph, magrittr, parallel, purrr, RColorBrewer, sdsfun (>= 0.4.3), sf, tibble, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-20 13:40:22 UTC; dell
Author: Wenbo Lv [aut, cre, cph] , Yongze Song [aut] , Nan Jia [aut]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:06 UTC

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New package AnomalyScore with initial version 0.1
Package: AnomalyScore
Title: Anomaly Scoring for Multivariate Time Series
Version: 0.1
Description: Compute an anomaly score for multivariate time series based on the k-nearest neighbors algorithm. Different computations of distances between time series are provided.
License: GPL (>= 3)
Imports: dtw, class, astsa, transport, marima, TSA, RANN, MASS, mvLSW, stats
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-20 14:21:40 UTC; guillermocgg
Author: Guillermo Granados [aut, cre]
Maintainer: Guillermo Granados <guillermo.granadosgarcia@outlook.com>
Repository: CRAN
Date/Publication: 2024-11-21 08:00:13 UTC

More information about AnomalyScore at CRAN
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Package fedregs (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:

2019-09-16 1.0.0
2019-02-04 0.1.1

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Package synMicrodata updated to version 2.1.0 with previous version 2.0.0 dated 2024-04-07

Title: Synthetic Microdata Generator
Description: This tool fits a non-parametric Bayesian model called a "hierarchically coupled mixture model with local dependence (HCMM-LD)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for capturing the joint distribution of the original input data in a highly flexible manner, leading to the generation of synthetic data whose distributional features are similar to that of the input data. The package allows the original input data to have missing values and impute them with the posterior predictive distribution, so no missing values exist in the synthetic data output. The method builds on the work of Murray and Reiter (2016) <doi:10.1080/01621459.2016.1174132>.
Author: Hang J. Kim [aut, cre], Juhee Lee [aut], Young-Min Kim [aut], Jared Murray [aut]
Maintainer: Hang J. Kim <hangkim0@gmail.com>

Diff between synMicrodata versions 2.0.0 dated 2024-04-07 and 2.1.0 dated 2024-11-21

 DESCRIPTION                    |    8 +-
 MD5                            |   13 +--
 NAMESPACE                      |    2 
 R/R_functions.R                |  163 ++++++++++++++++++++++++++++++++---------
 man/Rcpp_modelobject-class.Rd  |    6 +
 man/plot.synMicro_object.Rd    |    9 ++
 man/readData.Rd                |    9 ++
 man/summary.synMicro_object.Rd |only
 8 files changed, 165 insertions(+), 45 deletions(-)

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