Fri, 13 Sep 2024

Package PakPMICS2018 updated to version 1.1.0 with previous version 1.0.0 dated 2020-01-25

Title: Multiple Indicator Cluster Survey (MICS) 2017-18 Data for Punjab, Pakistan
Description: Provides data set and function for exploration of Multiple Indicator Cluster Survey (MICS) 2017-18 data for Punjab, Pakistan. The results of the present survey are critically important for the purposes of SDG monitoring, as the survey produces information on 32 global SDG indicators. The data was collected from 53,840 households selected at the second stage with systematic random sampling out of a sample of 2,692 clusters selected using Probability Proportional to size sampling. Six questionnaires were used in the survey: (1) a household questionnaire to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; (2) a water quality testing questionnaire administered in three households in each cluster of the sample; (3) a questionnaire for individual women administered in each household to all women age 15-49 years; (4) a questionnaire for individual men administered in every second household to all men age 15-49 years; (5 [...truncated...]
Author: Muhammad Yaseen [aut, cre]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between PakPMICS2018 versions 1.0.0 dated 2020-01-25 and 1.1.0 dated 2024-09-13

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More information about PakPMICS2018 at CRAN
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Package poputils updated to version 0.3.3 with previous version 0.3.1 dated 2024-06-12

Title: Demographic Analysis and Data Manipulation
Description: Perform tasks commonly encountered when preparing and analysing demographic data. Some functions are intended for end users, and others for developers. Includes functions for working with life tables.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package OpenSpecy updated to version 1.2.0 with previous version 1.1.0 dated 2024-06-13

Title: Analyze, Process, Identify, and Share Raman and (FT)IR Spectra
Description: Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples (Cowger et al. 2021, <doi:10.1021/acs.analchem.1c00123>). With read_any(), Open Specy provides a single function for reading individual, batch, or map spectral data files like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies processing spectra, including smoothing, baseline correction, range restriction and flattening, intensity conversions, wavenumber alignment, and min-max normalization. Spectra can be identified in batch using an onboard reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>) using match_spec(). A Shiny app is available via run_app() or online at <https://openanalysis.org/openspecy/>.
Author: Win Cowger [cre, aut, dtc] , Zacharias Steinmetz [aut] , Nick Leong [aut] , Andrea Faltynkova [aut, dtc] , Hannah Sherrod [aut] , Andrew B Gray [ctb] , Hannah Hapich [ctb] , Jennifer Lynch [ctb, dtc] , Hannah De Frond [ctb, dtc] , Keenan Munno [ctb, [...truncated...]
Maintainer: Win Cowger <wincowger@gmail.com>

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More information about OpenSpecy at CRAN
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Package httr2 updated to version 1.0.4 with previous version 1.0.3 dated 2024-08-21

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between httr2 versions 1.0.3 dated 2024-08-21 and 1.0.4 dated 2024-09-13

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Package eda4treeR updated to version 1.1.0 with previous version 0.6.0 dated 2023-05-01

Title: Experimental Design and Analysis for Tree Improvement
Description: Provides data sets and R Codes for E.R. Williams, C.E. Harwood and A.C. Matheson (2023). Experimental Design and Analysis for Tree Improvement, CSIRO Publishing.
Author: Muhammad Yaseen [aut, cre, cph] , Sami Ullah [aut, ctb], Kent Eskridge [aut, ctb], Emlyn Williams [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package DiallelAnalysisR updated to version 0.6.0 with previous version 0.5.0 dated 2023-03-31

Title: Diallel Analysis with R
Description: Performs Diallel Analysis with R using Griffing's and Hayman's approaches. Four different Methods (1: Method-I (Parents + F1's + reciprocals); 2: Method-II (Parents and one set of F1's); 3: Method-III (One set of F1's and reciprocals); 4: Method-IV (One set of F1's only)) and two Models (1: Fixed Effects Model; 2: Random Effects Model) can be applied using Griffing's approach.
Author: Muhammad Yaseen [aut, cre, cph] , Kent Eskridge [ctb, aut], Pedro Barbosa [ctb, aut], Yuhang Guo [ctb, aut]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Permanent link

Package rJavaEnv updated to version 0.2.2 with previous version 0.2.1 dated 2024-09-03

Title: 'Java' Environments for R Projects
Description: Quickly install 'Java Development Kit (JDK)' without administrative privileges and set environment variables in current R session or project to solve common issues with 'Java' environment management in 'R'. Recommended to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java' on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same proj [...truncated...]
Author: Egor Kotov [aut, cre, cph] , Mauricio Vargas [ctb] , Hadley Wickham [ctb]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

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Permanent link

Package ggspectra updated to version 0.3.13 with previous version 0.3.12 dated 2023-10-21

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggspectra versions 0.3.12 dated 2023-10-21 and 0.3.13 dated 2024-09-13

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Package BRcal updated to version 1.0.0 with previous version 0.0.4 dated 2024-06-25

Title: Boldness-Recalibration of Binary Events
Description: Boldness-recalibration maximally spreads out probability predictions while maintaining a user specified level of calibration, facilitated the brcal() function. Supporting functions to assess calibration via Bayesian and Frequentist approaches, Maximum Likelihood Estimator (MLE) recalibration, Linear in Log Odds (LLO)-adjust via any specified parameters, and visualize results are also provided. Methodological details can be found in Guthrie & Franck (2024) <doi:10.1080/00031305.2024.2339266>.
Author: Adeline P. Guthrie [aut, cre] , Christopher T. Franck [aut]
Maintainer: Adeline P. Guthrie <apguthrie47@gmail.com>

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 BRcal-1.0.0/BRcal/DESCRIPTION                                                                          |   12 
 BRcal-1.0.0/BRcal/MD5                                                                                  |   57 +--
 BRcal-1.0.0/BRcal/NAMESPACE                                                                            |    2 
 BRcal-1.0.0/BRcal/R/boldness_recalib.R                                                                 |   42 --
 BRcal-1.0.0/BRcal/R/data.R                                                                             |   57 ++-
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 BRcal-1.0.0/BRcal/README.md                                                                            |    2 
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 BRcal-1.0.0/BRcal/man/lineplot.Rd                                                                      |   27 +
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Permanent link

New package timeSeriesDataSets with initial version 0.1.0
Package: timeSeriesDataSets
Title: Time Series Data Sets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides a diverse collection of time series datasets spanning various fields such as economics, finance, energy, healthcare, and more. Designed to support time series analysis in R by offering datasets from multiple disciplines, making it a valuable resource for researchers and analysts.
License: GPL-3
URL: https://github.com/lightbluetitan/timeseriesdatasets_R
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-11 02:07:23 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-13 18:10:02 UTC

More information about timeSeriesDataSets at CRAN
Permanent link

New package power.transform with initial version 1.0.0
Package: power.transform
Title: Location and Scale Invariant Power Transformations
Version: 1.0.0
Description: Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations allow for transforming variables with distributions distant from 0 to normality. Transformers are implemented as S4 objects. These allow for transforming new instances to normality after optimising fitting parameters on other data. A test for central normality allows for rejecting transformations that fail to produce a suitably normal distribution, independent of sample number.
URL: https://github.com/oncoray/power.transform
BugReports: https://github.com/oncoray/power.transform/issues
License: EUPL
Encoding: UTF-8
Imports: data.table, methods, rlang (>= 1.0.0), nloptr
Suggests: ggplot2 (>= 3.4.0), testthat (>= 3.0.0)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-11 07:24:33 UTC; alexz
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:02 UTC

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New package miniLNM with initial version 0.1.0
Package: miniLNM
Title: Miniature Logistic-Normal Multinomial Models
Version: 0.1.0
Description: Logistic-normal Multinomial (LNM) models are common in problems with multivariate count data. This package gives a simple implementation with a 30 line 'Stan' script. This lightweight implementation makes it an easy starting point for other projects, in particular for downstream tasks that require analysis of "compositional" data. It can be applied whenever a multinomial probability parameter is thought to depend linearly on inputs in a transformed, log ratio space. Additional utilities make it easy to inspect, create predictions, and draw samples using the fitted models. More about the LNM can be found in Xia et al. (2013) "A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis" <doi:10.1111/biom.12079> and Sankaran and Holmes (2023) "Generative Models: An Interdisciplinary Perspective" <doi:10.1146/annurev-statistics-033121-110134>.
License: CC0
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), cli, dplyr, fansi, formula.tools, glue, methods, posterior, rstan (>= 2.18.1), rstantools (>= 2.4.0), tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
BugReports: https://github.com/krisrs1128/miniLNM/issues/
URL: https://github.com/krisrs1128/miniLNM/, https://krisrs1128.github.io/miniLNM/
NeedsCompilation: yes
Packaged: 2024-09-11 17:28:57 UTC; krissankaran
Author: Kris Sankaran [aut, cre]
Maintainer: Kris Sankaran <ksankaran@wisc.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:30:02 UTC

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New package healthatlas with initial version 0.1.0
Package: healthatlas
Title: Explore and Import 'Metopio' Health Atlas Data and Spatial Layers
Version: 0.1.0
Description: Allows for painless use of the 'Metopio' health atlas APIs <https://metopio.com/how-it-works/atlas/> to explore and import data. 'Metopio' health atlases store open public health data. See what topics (or indicators) are available among specific populations, periods, and geographic layers. Download relevant data along with geographic boundaries or point datasets. Spatial datasets are returned as 'sf' objects.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr2, purrr, sf, tibble, tidyr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://ryanzomorrodi.github.io/healthatlas/, https://github.com/ryanzomorrodi/healthatlas
BugReports: https://github.com/ryanzomorrodi/healthatlas/issues
NeedsCompilation: no
Packaged: 2024-09-11 04:45:03 UTC; user
Author: Ryan Zomorrodi [aut, cre, cph]
Maintainer: Ryan Zomorrodi <rzomor2@uic.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:05 UTC

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Package dttr2 updated to version 0.5.1 with previous version 0.5.0 dated 2023-11-14

Title: Manipulate Date, POSIXct and hms Vectors
Description: Manipulates date ('Date'), date time ('POSIXct') and time ('hms') vectors. Date/times are considered discrete and are floored whenever encountered. Times are wrapped and time zones are maintained unless explicitly altered by the user.
Author: Joe Thorley [aut] , Ayla Pearson [aut, cre] , Poisson Consulting [cph, fnd]
Maintainer: Ayla Pearson <ayla@poissonconsulting.ca>

Diff between dttr2 versions 0.5.0 dated 2023-11-14 and 0.5.1 dated 2024-09-13

 dttr2-0.5.0/dttr2/R/namespace.R            |only
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 dttr2-0.5.1/dttr2/LICENSE                  |    4 +-
 dttr2-0.5.1/dttr2/MD5                      |   51 ++++++++++++++---------------
 dttr2-0.5.1/dttr2/NAMESPACE                |    5 ++
 dttr2-0.5.1/dttr2/NEWS.md                  |    7 +++
 dttr2-0.5.1/dttr2/R/complete.R             |    6 +--
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 27 files changed, 98 insertions(+), 69 deletions(-)

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New package dsld with initial version 0.2.2
Package: dsld
Version: 0.2.2
Title: Data Science Looks at Discrimination
Maintainer: Norm Matloff <nsmatloff@ucdavis.edu>
VignetteBuilder: knitr
Imports: Kendall, ranger, ggplot2, plotly, freqparcoord, fairness,sandwich
Depends: R (>= 3.5.0), fairml, gtools, regtools,qeML,rmarkdown
Suggests: knitr,bnlearn,Matching,randomForest
License: GPL (>= 2)
Description: Statistical and graphical tools for detecting and measuring discrimination and bias, be it racial, gender, age or other. Detection and remediation of bias in machine learning algorithms. 'Python' interfaces available.
URL: https://github.com/matloff/dsld
BugReports: https://github.com/matloff/dsld/issues
NeedsCompilation: no
Packaged: 2024-09-11 04:08:37 UTC; normanmatloff
Author: Norm Matloff [aut, cre] , Taha Abdullah [aut], Arjun Ashok [aut], Shubhada Martha [aut], Aditya Mittal [aut], Billy Ouattara [aut], Jonathan Tran [aut], Brandon Zarate Estrada [aut]
Repository: CRAN
Date/Publication: 2024-09-13 18:20:09 UTC

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New package douconca with initial version 1.2.0
Package: douconca
Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Version: 1.2.0
Date: 2024-08-29
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Depends: R (>= 3.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2 (>= 3.5.1), ggrepel, gridExtra, permute, rlang, stats, vegan (>= 2.6-8)
NeedsCompilation: no
Suggests: rmarkdown, knitr, tinytest
VignetteBuilder: knitr
URL: https://github.com/CajoterBraak/douconca
BugReports: https://github.com/CajoterBraak/douconca/issues
Packaged: 2024-09-11 07:27:07 UTC; rossu027
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>
Repository: CRAN
Date/Publication: 2024-09-13 18:20:13 UTC

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New package DiscreteDists with initial version 1.0.0
Package: DiscreteDists
Title: Discrete Statistical Distributions
Version: 1.0.0
Description: Implementation of new discrete statistical distributions. Each distribution includes the traditional functions as well as an additional function called the family function, which can be used to estimate parameters within the 'gamlss' framework.
License: MIT + file LICENSE
Imports: gamlss, gamlss.dist, pracma, Rdpack, Rcpp
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, rmarkdown
URL: https://github.com/fhernanb/DiscreteDists
BugReports: https://github.com/fhernanb/DiscreteDists/issues
NeedsCompilation: yes
Packaged: 2024-09-11 01:13:09 UTC; fhern
Author: Freddy Hernandez-Barajas [aut, cre] , Fernando Marmolejo-Ramos [aut] , Jamiu Olumoh [aut] , Osho Ajayi [aut] , Olga Usuga-Manco [aut]
Maintainer: Freddy Hernandez-Barajas <fhernanb@unal.edu.co>
Repository: CRAN
Date/Publication: 2024-09-13 18:10:06 UTC

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New package DEHOGT with initial version 0.99.0
Package: DEHOGT
Title: Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data
Version: 0.99.0
Description: Implements a generalized linear model approach for detecting differentially expressed genes across treatment groups in count data. The package supports both quasi-Poisson and negative binomial models to handle over-dispersion, ensuring robust identification of differential expression. It allows for the inclusion of treatment effects and gene-wise covariates, as well as normalization factors for accurate scaling across samples. Additionally, it incorporates statistical significance testing with options for p-value adjustment and log2 fold range thresholds, making it suitable for RNA-seq analysis as described in by Xu et al., (2024) <doi:10.1371/journal.pone.0300565>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: doParallel, foreach, MASS,
Suggests: knitr, rmarkdown, BiocStyle
VignetteBuilder: knitr
URL: https://github.com/ahshen26/DEHOGT
BugReports: https://github.com/ahshen26/DEHOGT/issues
NeedsCompilation: no
Packaged: 2024-09-11 15:00:01 UTC; arlinashen
Author: Qi Xu [aut], Arlina Shen [cre] , Yubai Yuan [ctb], Annie Qu [ctb]
Maintainer: Arlina Shen <ahshen24@berkeley.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:30:06 UTC

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New package stdReg2 with initial version 1.0.1
Package: stdReg2
Title: Regression Standardization for Causal Inference
Version: 1.0.1
URL: https://sachsmc.github.io/stdReg2/
BugReports: https://github.com/sachsmc/stdReg2/issues/
Date: 2024-09-10
Description: Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>. Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.
License: AGPL (>= 3)
Encoding: UTF-8
Imports: data.table, drgee, generics, survival
Suggests: causaldata, AF, knitr, nnet, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-09-10 16:51:01 UTC; micsac
Author: Michael C Sachs [aut, cre], Arvid Sjoelander [aut], Erin E Gabriel [aut], Johan Sebastian Ohlendorff [aut], Adam Brand [aut]
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-13 17:50:02 UTC

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New package sfcurve with initial version 1.0.0
Package: sfcurve
Title: 2x2, 3x3 and Nxn Space-Filling Curves
Version: 1.0.0
Date: 2024-09-10
Depends: R (>= 4.0.0)
Imports: grid, Rcpp, methods, colorRamp2
Suggests: rmarkdown, knitr, rgl, testthat, ComplexHeatmap, igraph, digest
VignetteBuilder: knitr
Description: Implementation of all possible forms of 2x2 and 3x3 space-filling curves, i.e., the generalized forms of the Hilbert curve <https://en.wikipedia.org/wiki/Hilbert_curve>, the Peano curve <https://en.wikipedia.org/wiki/Peano_curve> and the Peano curve in the meander type (Figure 5 in <https://eudml.org/doc/141086>). It can generates nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.
URL: https://github.com/jokergoo/sfcurve, https://jokergoo.github.io/sfcurve/
License: MIT + file LICENSE
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-10 18:00:15 UTC; guz
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>
Repository: CRAN
Date/Publication: 2024-09-13 18:00:02 UTC

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Package epm updated to version 1.1.3 with previous version 1.1.2 dated 2023-12-19

Title: EcoPhyloMapper
Description: Facilitates the aggregation of species' geographic ranges from vector or raster spatial data, and that enables the calculation of various morphological and phylogenetic community metrics across geography. Citation: Title, PO, DL Swiderski and ML Zelditch (2022) <doi:10.1111/2041-210X.13914>.
Author: Pascal Title [aut, cre] , Donald Swiderski [aut], Miriam Zelditch [aut]
Maintainer: Pascal Title <pascal.title@stonybrook.edu>

Diff between epm versions 1.1.2 dated 2023-12-19 and 1.1.3 dated 2024-09-13

 DESCRIPTION          |    8 +--
 MD5                  |   24 +++++------
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New package distfromq with initial version 1.0.4
Package: distfromq
Title: Reconstruct a Distribution from a Collection of Quantiles
Version: 1.0.4
Description: Given a set of predictive quantiles from a distribution, estimate the distribution and create `d`, `p`, `q`, and `r` functions to evaluate its density function, distribution function, and quantile function, and generate random samples. On the interior of the provided quantiles, an interpolation method such as a monotonic cubic spline is used; the tails are approximated by a location-scale family.
License: GPL (>= 3)
URL: http://reichlab.io/distfromq/
Imports: checkmate, purrr, splines, stats, utils, zeallot
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-10 21:02:16 UTC; lshandross
Author: Evan Ray [aut, cre], Aaron Gerding [aut], Li Shandross [ctb], Nick Reich [ctb]
Maintainer: Evan Ray <elray@umass.edu>
Repository: CRAN
Date/Publication: 2024-09-13 18:00:06 UTC

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New package anomo with initial version 0.5.2
Package: anomo
Title: Analysis of Moderation with the Monte Carlo Confidence Interval Method
Version: 0.5.2
Date: 2024-9-10
Description: Analysis of Moderation (anomo) uses the Monte Carlo confidence interval (MCCI) method to test the difference and equivalence of two effects with summary statistics from two studies.
Language: en-US
Depends: R (>= 4.0.0), graphics (>= 4.0.0), base(>= 4.0.0)
License: GPL-3
Encoding: UTF-8
Suggests: rmarkdown, knitr, markdown
VignetteBuilder: rmarkdown, knitr, markdown
NeedsCompilation: no
Packaged: 2024-09-10 15:26:14 UTC; zucha
Author: Zuchao Shen [aut, cre]
Maintainer: Zuchao Shen <zuchao.shen@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-13 17:40:01 UTC

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Package npboottprm updated to version 0.3.2 with previous version 0.3.1 dated 2024-07-16

Title: Nonparametric Bootstrap Test with Pooled Resampling
Description: Addressing crucial research questions often necessitates a small sample size due to factors such as distinctive target populations, rarity of the event under study, time and cost constraints, ethical concerns, or group-level unit of analysis. Many readily available analytic methods, however, do not accommodate small sample sizes, and the choice of the best method can be unclear. The 'npboottprm' package enables the execution of nonparametric bootstrap tests with pooled resampling to help fill this gap. Grounded in the statistical methods for small sample size studies detailed in Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the package facilitates a range of statistical tests, encompassing independent t-tests, paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests. The nonparboot() function undertakes essential computations, yielding detailed outputs which include test statistics, effect sizes, confidence intervals, and bootstrap distributions. F [...truncated...]
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>

Diff between npboottprm versions 0.3.1 dated 2024-07-16 and 0.3.2 dated 2024-09-13

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Package digitalDLSorteR updated to version 1.1.0 with previous version 1.0.1 dated 2024-02-07

Title: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning
Description: Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> for more details.
Author: Diego Mananes [aut, cre] , Carlos Torroja [aut] , Fatima Sanchez-Cabo [aut]
Maintainer: Diego Mananes <dmananesc@cnic.es>

Diff between digitalDLSorteR versions 1.0.1 dated 2024-02-07 and 1.1.0 dated 2024-09-13

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Package tipsae updated to version 1.0.3 with previous version 1.0.2 dated 2024-07-30

Title: Tools for Handling Indices and Proportions in Small Area Estimation
Description: It allows for mapping proportions and indicators defined on the unit interval. It implements Beta-based small area methods comprising the classical Beta regression models, the Flexible Beta model and Zero and/or One Inflated extensions (Janicki 2020 <doi:10.1080/03610926.2019.1570266>). Such methods, developed within a Bayesian framework through Stan <https://mc-stan.org/>, come equipped with a set of diagnostics and complementary tools, visualizing and exporting functions. A Shiny application with a user-friendly interface can be launched to further simplify the process. For further details, refer to De Nicolò and Gardini (2024 <doi:10.18637/jss.v108.i01>).
Author: Silvia De Nicolo [aut, cre] , Aldo Gardini [aut]
Maintainer: Silvia De Nicolo <silvia.denicolo@unibo.it>

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Package spdep updated to version 1.3-6 with previous version 1.3-5 dated 2024-06-10

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) < [...truncated...]
Author: Roger Bivand [cre, aut] , Micah Altman [ctb], Luc Anselin [ctb], Renato Assuncao [ctb], Anil Bera [ctb], Olaf Berke [ctb], F. Guillaume Blanchet [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package cinterpolate updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-29

Title: Interpolation From C
Description: Simple interpolation methods designed to be used from C code. Supports constant, linear and spline interpolation. An R wrapper is included but this package is primarily designed to be used from C code using 'LinkingTo'. The spline calculations are classical cubic interpolation, e.g., Forsythe, Malcolm and Moler (1977) <ISBN: 9780131653320>.
Author: Rich FitzJohn [aut, cre], Imperial College of Science, Technology and Medicine [cph]
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package LiblineaR updated to version 2.10-24 with previous version 2.10-23 dated 2023-12-11

Title: Linear Predictive Models Based on the LIBLINEAR C/C++ Library
Description: A wrapper around the LIBLINEAR C/C++ library for machine learning (available at <https://www.csie.ntu.edu.tw/~cjlin/liblinear/>). LIBLINEAR is a simple library for solving large-scale regularized linear classification and regression. It currently supports L2-regularized classification (such as logistic regression, L2-loss linear SVM and L1-loss linear SVM) as well as L1-regularized classification (such as L2-loss linear SVM and logistic regression) and L2-regularized support vector regression (with L1- or L2-loss). The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries.
Author: Thibault Helleputte [cre, aut, cph], Jerome Paul [aut], Pierre Gramme [aut]
Maintainer: Thibault Helleputte <thibault.helleputte@dnalytics.com>

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Package compareGroups updated to version 4.9.0 with previous version 4.8.0 dated 2024-01-29

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana [aut, cre] , Joan Salvador [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

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Package sfdep updated to version 0.2.5 with previous version 0.2.4 dated 2024-02-20

Title: Spatial Dependence for Simple Features
Description: An interface to 'spdep' to integrate with 'sf' objects and the 'tidyverse'.
Author: Josiah Parry [aut] , Dexter Locke [aut, cre]
Maintainer: Dexter Locke <dexter.locke@gmail.com>

Diff between sfdep versions 0.2.4 dated 2024-02-20 and 0.2.5 dated 2024-09-13

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Package lsnstat updated to version 1.0.1 with previous version 1.0.0 dated 2023-04-22

Title: 'La Societe Nouvelle' API Access
Description: Tools facilitating access to the 'macro_data' service of the 'La Societe Nouvelle' API. It ensures an easy and fully-disclosed access to all macro-level data used in the 'La Societe Nouvelle' systems and the related metadata. Related API can be accessed from <https://api.lasocietenouvelle.org/>.
Author: Joris Blain [aut, cre]
Maintainer: Joris Blain <joris.blain@lasocietenouvelle.org>

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Package equateMultiple updated to version 1.0.0 with previous version 0.1.2 dated 2024-02-13

Title: Equating of Multiple Forms
Description: Equating of multiple forms using Item Response Theory (IRT) methods (Battauz M. (2017) <doi:10.1007/s11336-016-9517-x>, Battauz and 'Leoncio' (2023) <doi:10.1177/01466216231151702>, Haberman S. J. (2009) <doi:10.1002/j.2333-8504.2009.tb02197.x>).
Author: Michela Battauz [aut, cre], Waldir Leoncio [ctb]
Maintainer: Michela Battauz <michela.battauz@uniud.it>

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Package Deriv updated to version 4.1.6 with previous version 4.1.3 dated 2021-02-24

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre] , Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package RJSDMX updated to version 3.4-0 with previous version 3.3-0 dated 2024-06-04

Title: R Interface to SDMX Web Services
Description: Provides functions to retrieve data and metadata from providers that disseminate data by means of SDMX web services. SDMX (Statistical Data and Metadata eXchange) is a standard that has been developed with the aim of simplifying the exchange of statistical information. More about the SDMX standard and the SDMX Web Services can be found at: <https://sdmx.org>.
Author: Attilio Mattiocco [aut, cre]
Maintainer: Attilio Mattiocco <attilio.mattiocco@bancaditalia.it>

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Package lfproQC updated to version 0.3.0 with previous version 0.2.0 dated 2024-09-06

Title: Quality Control for Label-Free Proteomics Expression Data
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb]
Maintainer: Kabilan S <kabilan151414@gmail.com>

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Package LorMe updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-29

Title: Lightening One-Code Resolving Microbial Ecology Solution
Description: Provides a robust collection of functions tailored for microbial ecology analysis, encompassing both data analysis and visualization. It introduces an encapsulation feature that streamlines the process into a summary object. With the initial configuration of this summary object, users can execute a wide range of analyses with a single line of code, requiring only two essential parameters for setup. The package delivers comprehensive outputs including analysis objects, statistical outcomes, and visualization-ready data, enhancing the efficiency of research workflows. Designed with user-friendliness in mind, it caters to both novices and seasoned researchers, offering an intuitive interface coupled with adaptable customization options to meet diverse analytical needs.
Author: Ningqi Wang [aut, cre, cph], Yaozhong Zhang [aut], Gaofei Jiang [aut]
Maintainer: Ningqi Wang <2434066068@qq.com>

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New package hydflood with initial version 0.5.8
Package: hydflood
Title: Flood Extents and Duration along the Rivers Elbe and Rhine
Version: 0.5.8
Date: 2024-09-05
Description: Raster based flood modelling internally using 'hyd1d', an R package to interpolate 1d water level and gauging data. The package computes flood extent and duration through strategies originally developed for 'INFORM', an 'ArcGIS'-based hydro-ecological modelling framework. It does not provide a full, physical hydraulic modelling algorithm, but a simplified, near real time 'GIS' approach for flood extent and duration modelling. Computationally demanding annual flood durations have been computed already and data products were published by Weber (2022) <doi:10.1594/PANGAEA.948042>.
Depends: R (>= 4.0.0), sf, terra, raster, hyd1d
Imports: stats, Rdpack, grDevices, httr2, curl
Suggests: knitr, rmarkdown, devtools, pkgdown, roxygen2, testthat, plot3D, shiny, shinyjs, shiny.i18n, leaflet, leaflet.extras, leaflet.esri, pangaear, rgrass, stringr
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/bafg-bund/hydflood/issues/
URL: https://hydflood.bafg.de, https://github.com/bafg-bund/hydflood
NeedsCompilation: no
Packaged: 2024-09-13 06:12:34 UTC; WeberA
Author: Arnd Weber [aut, cre] , Stephan Rosenzweig [ctb], Benjamin Eberhardt [ctb]
Maintainer: Arnd Weber <arnd.weber@bafg.de>
Repository: CRAN
Date/Publication: 2024-09-13 08:20:02 UTC

More information about hydflood at CRAN
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Package charcuterie updated to version 0.0.4 with previous version 0.0.3 dated 2024-09-10

Title: Handle Strings as Vectors of Characters
Description: Creates a new chars class which looks like a string but is actually a vector of individual characters, making 'strings' iterable. This class enables vector operations on 'strings' such as reverse, sort, head, and set operations.
Author: Jonathan Carroll [aut, cre]
Maintainer: Jonathan Carroll <rpkg@jcarroll.com.au>

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Package posologyr updated to version 1.2.7 with previous version 1.2.6 dated 2024-08-27

Title: Individual Dose Optimization using Population Pharmacokinetics
Description: Optimize drug regimens through model-informed precision dosing, using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By integrating therapeutic drug monitoring (TDM) data with population models, 'posologyr' provides accurate posterior estimates and enables the calculation of personalized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
Author: Cyril Leven [aut, cre, cph] , Matthew Fidler [ctb] , Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb]
Maintainer: Cyril Leven <cyril.leven@chu-brest.fr>

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Package cassowaryr updated to version 2.0.2 with previous version 2.0.0 dated 2022-08-09

Title: Compute Scagnostics on Pairs of Numeric Variables in a Data Set
Description: Computes a range of scatterplot diagnostics (scagnostics) on pairs of numerical variables in a data set. A range of scagnostics, including graph and association-based scagnostics described by Leland Wilkinson and Graham Wills (2008) <doi:10.1198/106186008X320465> and association-based scagnostics described by Katrin Grimm (2016,ISBN:978-3-8439-3092-5) can be computed. Summary and plotting functions are provided.
Author: Harriet Mason [aut, cre] , Stuart Lee [aut] , Ursula Laa [aut] , Dianne Cook [aut]
Maintainer: Harriet Mason <harriet.m.mason@gmail.com>

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