Wed, 10 Apr 2024

Package umx updated to version 4.20.0 with previous version 4.19.0 dated 2023-11-16

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation models, and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Author: Timothy C. Bates [aut, cre] , Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Luis De Araujo [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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Package prismatic updated to version 1.1.2 with previous version 1.1.1 dated 2022-08-15

Title: Color Manipulation Tools
Description: Manipulate and visualize colors in a intuitive, low-dependency and functional way.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package pressuRe updated to version 0.2.4 with previous version 0.2.3 dated 2023-10-05

Title: Imports, Processes, and Visualizes Biomechanical Pressure Data
Description: Allows biomechanical pressure data from a range of systems to be imported and processed in a reproducible manner. Automatic and manual tools are included to let the user define regions (masks) to be analyzed. Also includes functions for visualizing and animating pressure data. Example methods are described in Shi et al., (2022) <doi:10.1038/s41598-022-19814-0>, Lee et al., (2014) <doi:10.1186/1757-1146-7-18>, van der Zward et al., (2014) <doi:10.1186/1757-1146-7-20>, Najafi et al., (2010) <doi:10.1016/j.gaitpost.2009.09.003>, Cavanagh and Rodgers (1987) <doi:10.1016/0021-9290(87)90255-7>.
Author: Scott Telfer [aut, cre, cph] , Ellen Li [aut]
Maintainer: Scott Telfer <scott.telfer@gmail.com>

Diff between pressuRe versions 0.2.3 dated 2023-10-05 and 0.2.4 dated 2024-04-10

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Package diptest updated to version 0.77-1 with previous version 0.77-0 dated 2023-11-27

Title: Hartigan's Dip Test Statistic for Unimodality - Corrected
Description: Compute Hartigan's dip test statistic for unimodality / multimodality and provide a test with simulation based p-values, where the original public code has been corrected.
Author: Martin Maechler
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between diptest versions 0.77-0 dated 2023-11-27 and 0.77-1 dated 2024-04-10

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New package HDXBoxeR with initial version 0.0.1
Package: HDXBoxeR
Title: Analysis of Hydrogen-Deuterium Exchange Mass-Spectrometry Data
Version: 0.0.1
Author: Maria K. Janowska [aut, cre] , Katherine Reiter [ctb], Pearl Magala [ctb], Miklos Guttman [ctb], Rachel E. Klevit [ctb]
Maintainer: Maria K. Janowska <mka.janowska@gmail.com>
Description: A protocol that facilitates the processing and analysis of Hydrogen-Deuterium Exchange Mass Spectrometry data using p-value statistics and Critical Interval analysis. It provides a pipeline for analyzing data from 'HDXExaminer' (Sierra Analytics, Trajan Scientific), automating matching and comparison of protein states through Welch's T-test and the Critical Interval statistical framework. Additionally, it simplifies data export, generates 'Pymol' scripts, and ensures calculations meet publication standards. 'HDXBoxeR' assists in various aspects of hydrogen-deuterium exchange data analysis, including reprocessing data, calculating parameters, identifying significant peptides, generating plots, and facilitating comparison between protein states. For details check papers by Hageman and Weis (2019) <doi:10.1021/acs.analchem.9b01325> and Masson et al. (2019) <doi:10.1038/s41592-019-0459-y>.
License: GPL (>= 2)
Imports: dplyr, graphics, grDevices, RColorBrewer, stats, stringr, tidyr, utils, methods, wrapr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-10 18:36:44 UTC; mkaja
Repository: CRAN
Date/Publication: 2024-04-10 20:10:02 UTC

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New package WayFindR with initial version 0.1.2
Package: WayFindR
Version: 0.1.2
Date: 2024-04-09
Title: Computing Graph Structures on WikiPathways
Description: Converts pathways from 'WikiPathways' GPML format into 'igraph' objects. Includes tools to find all cycles in the resulting graphs and determine which ones involve negative feedback (inhibition).
Depends: R (>= 3.5)
Imports: graphics, utils, XML, igraph
Suggests: knitr, rmarkdown, Polychrome
License: Artistic-2.0
URL: http://oompa.r-forge.r-project.org/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-09 20:36:30 UTC; kevin
Author: Kevin R. Coombes [aut, cre], Polina Bombina [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Repository: CRAN
Date/Publication: 2024-04-10 19:50:06 UTC

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New package surveyPrev with initial version 1.0.0
Package: surveyPrev
Title: Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas
Version: 1.0.0
Description: Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Fuglstad et al. (2022) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.
URL: https://github.com/richardli/surveyPrev
BugReports: https://github.com/richardli/surveyPrev/issues
Depends: R (>= 3.5)
License: GPL (>= 2)
Imports: survey, stats, ggplot2, rdhs, SUMMER, dplyr, labelled, sjlabelled, naniar, raster, sp, spdep, stringr, tidyverse, data.table, sf, matrixStats
Encoding: UTF-8
LazyData: true
Additional_repositories: https://inla.r-inla-download.org/R/testing/
Suggests: INLA, knitr, rmarkdown, R.rsp, kableExtra, geodata, patchwork, tidyr
VignetteBuilder: R.rsp, knitr
NeedsCompilation: no
Packaged: 2024-04-09 17:25:12 UTC; qianyu
Author: Qianyu Dong [cre, aut], Zehang R Li [aut], Yunhan Wu [aut], Andrea Boskovic [aut], Jon Wakefield [aut]
Maintainer: Qianyu Dong <qdong14@ucsc.edu>
Repository: CRAN
Date/Publication: 2024-04-10 19:50:02 UTC

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New package SmoothHazard with initial version 2024.04.10
Package: SmoothHazard
Title: Estimation of Smooth Hazard Models for Interval-Censored Data
Version: 2024.04.10
Description: Estimation of two-state (survival) models and irreversible illness- death models with possibly interval-censored, left-truncated and right-censored data. Proportional intensities regression models can be specified to allow for covariates effects separately for each transition. We use either a parametric approach with Weibull baseline intensities or a semi-parametric approach with M-splines approximation of baseline intensities in order to obtain smooth estimates of the hazard functions. Parameter estimates are obtained by maximum likelihood in the parametric approach and by penalized maximum likelihood in the semi-parametric approach.
Encoding: UTF-8
Copyright: See inst/COPYRIGHTS
Depends: R (>= 1.9.1), prodlim (>= 1.4.9)
Imports: lava (>= 1.4.1), mvtnorm (>= 1.0-3)
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>
License: GPL (>= 2)
Packaged: 2024-04-10 14:10:36 UTC; tag
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Author: Celia Touraine [aut], Thomas Alexander Gerds [aut, cre], Pierre Joly [aut] , Cecile Proust-Lima [aut] , Helene Jacqmin-Gadda [aut] , Amadou Diakite [aut] , W.D. Cody [aut] , A.H. Morris [aut] , B.W. Brown [aut] , Robin Genuer [ctb]
Repository: CRAN
Date/Publication: 2024-04-10 20:00:08 UTC

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Package lpcde updated to version 0.1.4 with previous version 0.1.3 dated 2024-03-28

Title: Boundary Adaptive Local Polynomial Conditional Density Estimator
Description: Tools for estimation and inference of conditional densities, derivatives and functions. This is the companion software for Cattaneo, Chandak, Jansson and Ma (2024) <doi:10.48550/arXiv.2204.10359>.
Author: Rajita Chandak [aut, cre]
Maintainer: Rajita Chandak <rchandak@princeton.edu>

Diff between lpcde versions 0.1.3 dated 2024-03-28 and 0.1.4 dated 2024-04-10

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New package IRR2FPR with initial version 0.1
Package: IRR2FPR
Title: Computing False Positive Rate from Inter-Rater Reliability
Version: 0.1
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>
Description: Implements a 'Shiny Item Analysis' module and functions for computing false positive rate and other binary classification metrics from inter-rater reliability based on Bartoš & Martinková (2022) <doi:10.48550/arXiv.2207.09101>.
URL: https://github.com/FBartos/IRR2FPR
BugReports: https://github.com/FBartos/IRR2FPR/issues
License: GPL-3
Encoding: UTF-8
Imports: shiny, mvtnorm
NeedsCompilation: no
Packaged: 2024-04-10 08:42:13 UTC; fbart
Author: Frantisek Bartos [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-10 19:50:09 UTC

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New package iNEXT.4steps with initial version 1.0.0
Package: iNEXT.4steps
Title: Four-Step Biodiversity Analysis Based on 'iNEXT'
Version: 1.0.0
Author: Anne Chao [aut, cre], KaiHsiang Hu [ctb]
Maintainer: Anne Chao <chao@stat.nthu.edu.tw>
URL: https://sites.google.com/view/chao-lab-website/software/inext-4steps/
Description: Expands 'iNEXT' to include the estimation of sample completeness and evenness. The package provides simple functions to perform the following four-step biodiversity analysis: STEP 1: Assessment of sample completeness profiles. STEP 2a: Analysis of size-based rarefaction and extrapolation sampling curves to determine whether the asymptotic diversity can be accurately estimated. STEP 2b: Comparison of the observed and the estimated asymptotic diversity profiles. STEP 3: Analysis of non-asymptotic coverage-based rarefaction and extrapolation sampling curves. STEP 4: Assessment of evenness profiles. The analyses in STEPs 2a, 2b and STEP 3 are mainly based on the previous 'iNEXT' package. Refer to the 'iNEXT' package for details. This package is mainly focusing on the computation for STEPs 1 and 4. See Chao et al. (2020) <doi:10.1111/1440-1703.12102> for statistical background.
License: GPL (>= 3)
Depends: R (>= 4.0)
Imports: ggplot2, reshape2, dplyr, stats, ggpubr, purrr, iNEXT.3D
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
BugReports: https://github.com/KaiHsiangHu/iNEXT.4steps/issues
LazyData: true
VignetteBuilder: knitr
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-04-10 15:07:43 UTC; stat-pc
Repository: CRAN
Date/Publication: 2024-04-10 20:00:05 UTC

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New package FedIRT with initial version 0.1.0
Package: FedIRT
Title: Federated Item Response Theory Models
Version: 0.1.0
Description: Integrate Item Response Theory (IRT) and Federated Learning to estimate traditional IRT models, including the 2-Parameter Logistic (2PL) and the Graded Response Models, with enhanced privacy. It allows for the estimation in a distributed manner without compromising accuracy. A user-friendly 'shiny' application is included. For more details, see Biying Zhou, Feng Ji (2024) "'FedIRT': An R package and 'shiny' app for estimating federated item response theory models" <https://github.com/Feng-Ji-Lab/FedIRT/blob/main/paper/paper.pdf>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: purrr, pracma, shiny, httr, callr, DT, ggplot2, shinyjs,
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-04-10 16:50:56 UTC; zby15
Author: Biying Zhou [cre], Feng Ji [aut]
Maintainer: Biying Zhou <zby.zhou@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-04-10 20:00:12 UTC

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Package adjustedCurves updated to version 0.11.1 with previous version 0.11.0 dated 2024-02-13

Title: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions
Description: Estimate and plot confounder-adjusted survival curves using either 'Direct Adjustment', 'Direct Adjustment with Pseudo-Values', various forms of 'Inverse Probability of Treatment Weighting', two forms of 'Augmented Inverse Probability of Treatment Weighting', 'Empirical Likelihood Estimation' or 'Targeted Maximum Likelihood Estimation'. Also includes a significance test for the difference between two adjusted survival curves and the calculation of adjusted restricted mean survival times. Additionally enables the user to estimate and plot cause-specific confounder-adjusted cumulative incidence functions in the competing risks setting using the same methods (with some exceptions). For details, see Denz et. al (2023) <doi:10.1002/sim.9681>.
Author: Robin Denz [aut, cre]
Maintainer: Robin Denz <robin.denz@rub.de>

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 adjustedCurves-0.11.1/adjustedCurves/man/cif_aalen_johansen.Rd                                                           |    4 
 adjustedCurves-0.11.1/adjustedCurves/man/cif_aiptw.Rd                                                                    |    4 
 adjustedCurves-0.11.1/adjustedCurves/man/cif_aiptw_pseudo.Rd                                                             |    3 
 adjustedCurves-0.11.1/adjustedCurves/man/cif_direct.Rd                                                                   |    9 
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 adjustedCurves-0.11.1/adjustedCurves/man/cif_iptw.Rd                                                                     |    3 
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 adjustedCurves-0.11.1/adjustedCurves/man/surv_aiptw_pseudo.Rd                                                            |    7 
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 adjustedCurves-0.11.1/adjustedCurves/man/surv_emp_lik.Rd                                                                 |    3 
 adjustedCurves-0.11.1/adjustedCurves/man/surv_iptw_cox.Rd                                                                |    6 
 adjustedCurves-0.11.1/adjustedCurves/man/surv_iptw_km.Rd                                                                 |    6 
 adjustedCurves-0.11.1/adjustedCurves/man/surv_iptw_pseudo.Rd                                                             |    6 
 adjustedCurves-0.11.1/adjustedCurves/man/surv_matching.Rd                                                                |    4 
 adjustedCurves-0.11.1/adjustedCurves/man/surv_prox_aiptw.Rd                                                              |    6 
 adjustedCurves-0.11.1/adjustedCurves/man/surv_prox_iptw.Rd                                                               |    6 
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More information about adjustedCurves at CRAN
Permanent link

Package shinyMatrix updated to version 0.8.0 with previous version 0.6.0 dated 2021-05-20

Title: Shiny Matrix Input Field
Description: Implements a custom matrix input field.
Author: Andreas Neudecker
Maintainer: Andreas Neudecker <andreas.neudecker@inwt-statistics.de>

Diff between shinyMatrix versions 0.6.0 dated 2021-05-20 and 0.8.0 dated 2024-04-10

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More information about shinyMatrix at CRAN
Permanent link

New package pctax with initial version 0.1.1
Package: pctax
Title: Professional Comprehensive Omics Data Analysis
Version: 0.1.1
Description: Provides a comprehensive suite of tools for analyzing omics data. It includes functionalities for alpha diversity analysis, beta diversity analysis, differential abundance analysis, community assembly analysis, visualization of phylogenetic tree, and functional enrichment analysis. With a progressive approach, the package offers a range of analysis methods to explore and understand the complex communities. It is designed to support researchers and practitioners in conducting in-depth and professional omics data analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Imports: pcutils (>= 0.2.5), dplyr, ggplot2 (>= 3.2.0), vegan, magrittr, grDevices, RColorBrewer, ggrepel, reshape2, stats, tibble, utils, ggpubr, ggnewscale, ade4, scales
Suggests: picante, ggpmisc, NST, permute, aplot, pheatmap, MASS, Rtsne, mixOmics, geosphere, phyloseq, phyloseqGraphTest, plotly, umap, Hmisc, minpack.lm, bbmle, snow, foreach, doSNOW, patchwork, tidytree, ggtree, ggtreeExtra, vctrs, zoo, ape, DESeq2, limma, ALDEx2, Mfuzz, edgeR, methods, randomForest, knitr, rmarkdown, MetaNet, jsonlite, prettydoc, clipr, zetadiv, ggforce, readxl
VignetteBuilder: knitr
BugReports: https://github.com/Asa12138/pctax/issues
URL: https://github.com/Asa12138/pctax
ByteCompile: true
NeedsCompilation: no
Packaged: 2024-04-06 15:16:13 UTC; asa
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>
Repository: CRAN
Date/Publication: 2024-04-10 17:10:05 UTC

More information about pctax at CRAN
Permanent link

Package mlr3filters updated to version 0.8.0 with previous version 0.7.1 dated 2023-02-15

Title: Filter Based Feature Selection for 'mlr3'
Description: Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.
Author: Patrick Schratz [aut] , Michel Lang [cre, aut] , Bernd Bischl [aut] , Martin Binder [aut], John Zobolas [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3filters versions 0.7.1 dated 2023-02-15 and 0.8.0 dated 2024-04-10

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Package ipsRdbs updated to version 1.0.0 with previous version 0.2.6 dated 2023-07-05

Title: Introduction to Probability, Statistics and R for Data-Based Sciences
Description: Contains data sets, programmes and illustrations discussed in the book, "Introduction to Probability, Statistics and R: Foundations for Data-Based Sciences." Sahu (2024, isbn:9783031378645) describes the methods in detail.
Author: Sujit K. Sahu [aut, cre]
Maintainer: Sujit K. Sahu <S.K.Sahu@soton.ac.uk>

Diff between ipsRdbs versions 0.2.6 dated 2023-07-05 and 1.0.0 dated 2024-04-10

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Package ichimoku updated to version 1.5.1 with previous version 1.5.0 dated 2024-02-05

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between ichimoku versions 1.5.0 dated 2024-02-05 and 1.5.1 dated 2024-04-10

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New package gratis with initial version 1.0.7
Package: gratis
Title: Generating Time Series with Diverse and Controllable Characteristics
Version: 1.0.7
Description: Generates synthetic time series based on various univariate time series models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.
License: GPL-3
URL: https://github.com/ykang/gratis
BugReports: https://github.com/ykang/gratis/issues/
Depends: R (>= 3.5.0)
Imports: doRNG, dplyr, feasts, fGarch, foreach, forecast (>= 8.16), GA, generics, magrittr, methods, mvtnorm, polynom, purrr, shiny, stats, tibble, tsfeatures, tsibble, utils
Suggests: knitr, rlang, rmarkdown, shinydashboard
VignetteBuilder: knitr
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Repository: CRAN
Packaged: 2024-04-08 01:24:01 UTC; fli
Author: Yanfei Kang [aut] , Feng Li [aut, cre] , Rob Hyndman [aut] , Mitchell O'Hara-Wild [ctb] , Bocong Zhao [ctb]
Maintainer: Feng Li <feng.li@cufe.edu.cn>
Date/Publication: 2024-04-10 17:10:20 UTC

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New package BOSO with initial version 1.0.4
Package: BOSO
Title: Bilevel Optimization Selector Operator
Version: 1.0.4
Date: 2024-04-08
Description: A novel feature selection algorithm for linear regression called BOSO (Bilevel Optimization Selector Operator). The main contribution is the use a bilevel optimization problem to select the variables in the training problem that minimize the error in the validation set. Preprint available: [Valcarcel, L. V., San Jose-Eneriz, E., Cendoya, X., Rubio, A., Agirre, X., Prosper, F., & Planes, F. J. (2020). "BOSO: a novel feature selection algorithm for linear regression with high-dimensional data." bioRxiv. <doi:10.1101/2020.11.18.388579>]. In order to run the vignette, it is recommended to install the 'bestsubset' package, using the following command: devtools::install_github(repo="ryantibs/best-subset", subdir="bestsubset"). If you do not have gurobi, run devtools::install_github(repo="lvalcarcel/best-subset", subdir="bestsubset"). Moreover, to install cplexAPI you can check <https://github.com/lvalcarcel/cplexAPI>.
SystemRequirements: IBM ILOG CPLEX (>= 12.1)
Depends: R (>= 4.0)
Imports: Matrix, MASS, methods
Suggests: cplexAPI, testthat, glmnet, knitr, rmarkdown, ggplot2, ggpubr, dplyr, kableExtra, devtools, BiocStyle, bestsubset
License: GPL-3
URL: https://github.com/lvalcarcel/BOSO
BugReports: https://github.com/lvalcarcel/BOSO/issues
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-10 11:28:18 UTC; lvalcarcel
Author: Luis V. Valcarcel [aut, cre, ctb] , Edurne San Jose-Eneriz [aut] , Xabier Cendoya [aut, ctb] , Angel Rubio [aut, ctb] , Xabier Agirre [aut] , Felipe Prosper [aut] , Francisco J. Planes [aut, ctb]
Maintainer: Luis V. Valcarcel <lvalcarcel@alumni.unav.es>
Repository: CRAN
Date/Publication: 2024-04-10 17:10:23 UTC

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Package WH updated to version 1.1.1 with previous version 1.1.0 dated 2023-09-18

Title: Enhanced Implementation of Whittaker-Henderson Smoothing
Description: An enhanced implementation of Whittaker-Henderson smoothing for the gradation of one-dimensional and two-dimensional actuarial tables used to quantify Life Insurance risks. 'WH' is based on the methods described in Biessy (2023) <doi:10.48550/arXiv.2306.06932>. Among other features, it generalizes the original smoothing algorithm to maximum likelihood estimation, automatically selects the smoothing parameter(s) and extrapolates beyond the range of data.
Author: Guillaume Biessy [aut, cre, cph]
Maintainer: Guillaume Biessy <guillaume.biessy78@gmail.com>

Diff between WH versions 1.1.0 dated 2023-09-18 and 1.1.1 dated 2024-04-10

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New package sparseCov with initial version 0.0.1
Package: sparseCov
Title: Sparse Covariance Estimation Based on Thresholding
Version: 0.0.1
Description: A sparse covariance estimator based on different thresholding operators.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Matrix, methods, mvnfast, Rfast, sparseMVN, stats
URL: https://github.com/chexjiang/sparseCov
NeedsCompilation: no
Packaged: 2024-04-10 11:43:58 UTC; chenxinjiang
Author: Chenxin Jiang [aut, cre]
Maintainer: Chenxin Jiang <cflorajiang@g.ucla.edu>
Repository: CRAN
Date/Publication: 2024-04-10 16:50:02 UTC

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Package precommit updated to version 0.4.2 with previous version 0.4.1 dated 2024-03-31

Title: Pre-Commit Hooks
Description: Useful git hooks for R building on top of the multi-language framework 'pre-commit' for hook management. This package provides git hooks for common tasks like formatting files with 'styler' or spell checking as well as wrapper functions to access the 'pre-commit' executable.
Author: Lorenz Walthert
Maintainer: Lorenz Walthert <lorenz.walthert@icloud.com>

Diff between precommit versions 0.4.1 dated 2024-03-31 and 0.4.2 dated 2024-04-10

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New package ntranova with initial version 0.0.1
Package: ntranova
Title: Two Way Neutrosophic ANOVA
Version: 0.0.1
Description: Dealing with neutrosophic data of the form N=D+I(where N is a Neutrosophic number ,D is the determinant part of the number and I is the indeterminacy part) using the neutrosophic two way anova test keeps the type I error low. This algorithm calculates the fisher statistics when we have a neutrosophic data, also tests two hypothesizes, first is to test differences between treatments, and second is to test differences between sectors. For more information see Miari, Mahmoud; Anan, Mohamad Taher; Zeina, Mohamed Bisher(2022) <https://www.americaspg.com/articleinfo/21/show/1058>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-10 13:06:59 UTC; HP
Author: Mohamad Taher Anan [aut, cre] , Mohamad Bisher Zeina [aut], Shaza Zubeadah [aut], Mahmoud Miari [aut]
Maintainer: Mohamad Taher Anan <mtanan200988@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-10 17:00:02 UTC

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Package mlr3misc updated to version 0.15.0 with previous version 0.14.0 dated 2024-02-01

Title: Helper Functions for 'mlr3'
Description: Frequently used helper functions and assertions used in 'mlr3' and its companion packages. Comes with helper functions for functional programming, for printing, to work with 'data.table', as well as some generally useful 'R6' classes. This package also supersedes the package 'BBmisc'.
Author: Michel Lang [cre, aut] , Patrick Schratz [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3misc versions 0.14.0 dated 2024-02-01 and 0.15.0 dated 2024-04-10

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New package quadform with initial version 0.0-1
Package: quadform
Title: Efficient Evaluation of Quadratic Forms
Version: 0.0-1
Depends: R (>= 3.0.1)
Imports: mathjaxr
Suggests: testthat
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: A range of quadratic forms are evaluated, using efficient methods. Unnecessary transposes are not performed. Complex values are handled consistently.
License: GPL
URL: https://github.com/RobinHankin/quadform
BugReports: https://github.com/RobinHankin/quadform/issues
NeedsCompilation: no
Packaged: 2024-04-09 18:16:01 UTC; rhankin
Author: Robin K. S. Hankin [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-10 16:00:02 UTC

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Package rtpcr updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-05

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor) or analysis of variance (for cases where more than two levels or factors exist) to calculate the fold change or relative expression. The functions also provide standard deviations and confidence limits for means and apply statistical mean comparisons. To facilitate using 'rtpcr', different datasets have been employed in the examples and the outputs ar [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

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Package CausalQueries updated to version 1.1.0 with previous version 1.0.2 dated 2024-01-15

Title: Make, Update, and Query Binary Causal Models
Description: Users can declare binary causal models, update beliefs about causal types given data and calculate arbitrary estimands. Model definition makes use of 'dagitty' functionality. Updating is implemented in 'stan'. The approach used in 'CausalQueries' is a generalization of the 'biqq' models described in "Mixing Methods: A Bayesian Approach" (Humphreys and Jacobs, 2015, <DOI:10.1017/S0003055415000453>). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, <DOI:10.1017/CBO9780511803161>).
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut] , Till Tietz [aut, cre] , Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut] , Julio Solis [ctb], Georgiy Syunyaev [aut]
Maintainer: Till Tietz <ttietz2014@gmail.com>

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Package yyjsonr updated to version 0.1.20 with previous version 0.1.18 dated 2024-01-22

Title: Fast 'JSON', 'NDJSON' and 'GeoJSON' Parser and Generator
Description: A fast 'JSON' parser, generator and validator which converts 'JSON', 'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data to/from R objects. The standard R data types are supported (e.g. logical, numeric, integer) with configurable handling of NULL and NA values. Data frames, atomic vectors and lists are all supported as data containers translated to/from 'JSON'. 'GeoJSON' data is read in as 'simple features' objects. This implementation wraps the 'yyjson' 'C' library which is available from <https://github.com/ibireme/yyjson>.
Author: Mike Cheng [aut, cre, cph], Yao Yuan [aut, cph]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

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Package tidytext updated to version 0.4.2 with previous version 0.4.1 dated 2023-01-07

Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Author: Gabriela De Queiroz [ctb], Colin Fay [ctb] , Emil Hvitfeldt [ctb], Os Keyes [ctb] , Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre]
Maintainer: Julia Silge <julia.silge@gmail.com>

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Package LDlinkR updated to version 1.4.0 with previous version 1.3.0 dated 2023-05-31

Title: Calculating Linkage Disequilibrium (LD) in Human Population Groups of Interest
Description: Provides access to the 'LDlink' API (<https://ldlink.nih.gov/?tab=apiaccess>) using the R console. This programmatic access facilitates researchers who are interested in performing batch queries in 1000 Genomes Project (2015) <doi:10.1038/nature15393> data using 'LDlink'. 'LDlink' is an interactive and powerful suite of web-based tools for querying germline variants in human population groups of interest. For more details, please see Machiela et al. (2015) <doi:10.1093/bioinformatics/btv402>.
Author: Timothy A. Myers [aut, cre] , Stephen J. Chanock [aut], Mitchell J. Machiela [aut]
Maintainer: Timothy A. Myers <myersta@mail.nih.gov>

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Package DTComPair updated to version 1.2.4 with previous version 1.2.2 dated 2023-08-20

Title: Comparison of Binary Diagnostic Tests in a Paired Study Design
Description: Comparison of the accuracy of two binary diagnostic tests in a "paired" study design, i.e. when each test is applied to each subject in the study.
Author: Christian Stock [aut, cre] , Thomas Hielscher [aut], Andrea Discacciati [aut]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

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Package pkgdown updated to version 2.0.8 with previous version 2.0.7 dated 2022-12-14

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package dupNodes updated to version 0.3.0 with previous version 0.2.0 dated 2024-03-17

Title: Computes DNSLbetweenness, a Betweenness Measure that Includes Self-Loops
Description: Computes a new measure, DNSL betweenness, via the creation of a new graph from an existing one, duplicating nodes with self-loops. This betweenness centrality does not drop this essential information. Implements Merelo & Molinari (2024) <doi:10.1007/s42001-023-00245-4>.
Author: Juan Julian Merelo-Guervos
Maintainer: Juan Julian Merelo-Guervos <jjmerelo@gmail.com>

Diff between dupNodes versions 0.2.0 dated 2024-03-17 and 0.3.0 dated 2024-04-10

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New package casebase with initial version 0.10.5
Package: casebase
Title: Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression
Version: 0.10.5
Date: 2024-04-09
Description: Fit flexible and fully parametric hazard regression models to survival data with single event type or multiple competing causes via logistic and multinomial regression. Our formulation allows for arbitrary functional forms of time and its interactions with other predictors for time-dependent hazards and hazard ratios. From the fitted hazard model, we provide functions to readily calculate and plot cumulative incidence and survival curves for a given covariate profile. This approach accommodates any log-linear hazard function of prognostic time, treatment, and covariates, and readily allows for non-proportionality. We also provide a plot method for visualizing incidence density via population time plots. Based on the case-base sampling approach of Hanley and Miettinen (2009) <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015) <DOI:10.1111/sjos.12125>, and Saarela (2015) <DOI:10.1007/s10985-015-9352-x>.
Depends: R (>= 3.5.0)
Imports: data.table, ggplot2 (>= 3.4.0), methods, mgcv, stats, survival, VGAM
License: MIT + file LICENSE
LazyData: TRUE
Suggests: colorspace, covr, dplyr, eha, glmnet, knitr, lubridate, progress, rmarkdown, splines, testthat (>= 3.0.0), visreg
VignetteBuilder: knitr
URL: https://sahirbhatnagar.com/casebase/
BugReports: https://github.com/sahirbhatnagar/casebase/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-04-09 21:23:07 UTC; maxturgeon
Author: Sahir Bhatnagar [aut, cre] , Maxime Turgeon [aut] , Jesse Islam [aut] , Olli Saarela [aut] , James Hanley [aut]
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-10 12:00:06 UTC

More information about casebase at CRAN
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Package pedgene updated to version 3.9 with previous version 3.8 dated 2024-03-05

Title: Gene-Level Variant Association Tests for Pedigree Data
Description: Gene-level variant association tests with disease status for pedigree data: kernel and burden association statistics.
Author: Schaid Daniel [aut], Visconti Alessia [ctb], Jason Sinnwell [aut, cre]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

Diff between pedgene versions 3.8 dated 2024-03-05 and 3.9 dated 2024-04-10

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Package dateback updated to version 1.0.4 with previous version 1.0.3 dated 2023-09-03

Title: Collect and Install R Packages on a Specified Date with Dependencies
Description: Works as a virtual CRAN snapshot for source packages. It automatically downloads and installs 'tar.gz' files with dependencies, all of which were available on a specific day.
Author: Ryota Suzuki <suzuki@ef-prime.com>
Maintainer: Ryota Suzuki <suzuki@ef-prime.com>

Diff between dateback versions 1.0.3 dated 2023-09-03 and 1.0.4 dated 2024-04-10

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Package bspm updated to version 0.5.7 with previous version 0.5.6 dated 2024-04-09

Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions. Provides functions to manage packages via the distribution's package manager. Also provides transparent integration with R's install.packages() and a fallback mechanism. When installed as a system package, interacts with the system's package manager without requiring administrative privileges via an integrated D-Bus service; otherwise, uses sudo. Currently, the following backends are supported: DNF, APT, ALPM.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

Diff between bspm versions 0.5.6 dated 2024-04-09 and 0.5.7 dated 2024-04-10

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Package cccrm updated to version 2.2.2 with previous version 2.2.1 dated 2024-01-12

Title: Concordance Correlation Coefficient for Repeated (and Non-Repeated) Measures
Description: Estimates the Concordance Correlation Coefficient to assess agreement. The scenarios considered are non-repeated measures, non-longitudinal repeated measures (replicates) and longitudinal repeated measures. It also includes the estimation of the one-way intraclass correlation coefficient also known as reliability index. The estimation approaches implemented are variance components and U-statistics approaches. Description of methods can be found in Fleiss (1986) <doi:10.1002/9781118032923> and Carrasco et al. (2013) <doi:10.1016/j.cmpb.2012.09.002>.
Author: Josep Lluis Carrasco <jlcarrasco@ub.edu>
Maintainer: Josep Lluis Carrasco <jlcarrasco@ub.edu>

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Package traveltimeR updated to version 1.1.5 with previous version 1.1.4 dated 2023-03-15

Title: Interface to 'Travel Time' API
Description: 'Travel Time' API <https://docs.traveltime.com/api/overview/introduction> helps users find locations by journey time rather than using ‘as the crow flies’ distance. Time-based searching gives users more opportunities for personalisation and delivers a more relevant search.
Author: TravelTime [aut, cre]
Maintainer: TravelTime <frontend@traveltime.com>

Diff between traveltimeR versions 1.1.4 dated 2023-03-15 and 1.1.5 dated 2024-04-10

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Package BoneProfileR updated to version 2.5 with previous version 2.4 dated 2022-09-06

Title: Tools to Study Bone Compactness
Description: Bone Profiler is a scientific method and a software used to model bone section for paleontological and ecological studies. See Girondot and Laurin (2003) <https://www.researchgate.net/publication/280021178_Bone_profiler_A_tool_to_quantify_model_and_statistically_compare_bone-section_compactness_profiles> and Gônet, Laurin and Girondot (2022) <https://palaeo-electronica.org/content/2022/3590-bone-section-compactness-model>.
Author: Marc Girondot <marc.girondot@gmail.com>
Maintainer: Marc Girondot <marc.girondot@gmail.com>

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Package seededlda updated to version 1.2.0 with previous version 1.1.0 dated 2023-06-30

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between seededlda versions 1.1.0 dated 2023-06-30 and 1.2.0 dated 2024-04-10

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