Wed, 08 May 2024

Package kangar00 updated to version 1.4.2 with previous version 1.4.1 dated 2022-12-06

Title: Kernel Approaches for Nonlinear Genetic Association Regression
Description: Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).
Author: Juliane Manitz [aut, cre], Benjamin Hofner [aut], Stefanie Friedrichs [aut], Patricia Burger [aut], Ngoc Thuy Ha [aut], Saskia Freytag [ctb], Heike Bickeboeller [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

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Package bcputility updated to version 0.4.3 with previous version 0.4.0 dated 2023-01-16

Title: Wrapper for SQL Server bcp Utility
Description: Provides functions to utilize a command line utility that does bulk inserts and exports from SQL Server databases.
Author: Thomas Roh [aut, cre]
Maintainer: Thomas Roh <thomas@roh.engineering>

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Package tempted updated to version 0.1.1 with previous version 0.1.0 dated 2024-01-11

Title: Temporal Tensor Decomposition, a Dimensionality Reduction Tool for Longitudinal Multivariate Data
Description: TEMPoral TEnsor Decomposition (TEMPTED), is a dimension reduction method for multivariate longitudinal data with varying temporal sampling. It formats the data into a temporal tensor and decomposes it into a summation of low-dimensional components, each consisting of a subject loading vector, a feature loading vector, and a continuous temporal loading function. These loadings provide a low-dimensional representation of subjects or samples and can be used to identify features associated with clusters of subjects or samples. TEMPTED provides the flexibility of allowing subjects to have different temporal sampling, so time points do not need to be binned, and missing time points do not need to be imputed.
Author: Pixu Shi
Maintainer: Pixu Shi <pixu.shi@duke.edu>

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Package hydroGOF updated to version 0.6-0 with previous version 0.5-4 dated 2024-01-21

Title: Goodness-of-Fit Functions for Comparison of Simulated and Observed Hydrological Time Series
Description: S3 functions implementing both statistical and graphical goodness-of-fit measures between observed and simulated values, mainly oriented to be used during the calibration, validation, and application of hydrological models. Missing values in observed and/or simulated values can be removed before computations. Comments / questions / collaboration of any kind are very welcomed.
Author: Mauricio Zambrano-Bigiarini [aut, cre, cph]
Maintainer: Mauricio Zambrano-Bigiarini <mzb.devel@gmail.com>

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Package RMVL updated to version 1.1.0.0 with previous version 1.0.0.1 dated 2023-12-04

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

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Package taylor updated to version 3.1.0 with previous version 3.0.0 dated 2023-11-06

Title: Lyrics and Song Data for Taylor Swift's Discography
Description: A comprehensive resource for data on Taylor Swift songs. Data is included for all officially released studio albums, extended plays (EPs), and individual singles are included. Data comes from 'Genius' (lyrics) and 'Spotify' (song characteristics). Additional functions are included for easily creating data visualizations with color palettes inspired by Taylor Swift's album covers.
Author: W. Jake Thompson [aut, cre, cph]
Maintainer: W. Jake Thompson <wjakethompson@gmail.com>

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Package svydiags updated to version 0.6 with previous version 0.5 dated 2024-03-12

Title: Regression Model Diagnostics for Survey Data
Description: Diagnostics for fixed effects linear regression models fitted with survey data. Extensions of standard diagnostics to complex survey data are included: standardized residuals, leverages, Cook's D, dfbetas, dffits, condition indexes, and variance inflation factors as found in Li and Valliant (Surv. Meth., 2009, 35(1), pp. 15-24; Jnl. of Off. Stat., 2011, 27(1), pp. 99-119; Jnl. of Off. Stat., 2015, 31(1), pp. 61-75); Liao and Valliant (Surv. Meth., 2012, 38(1), pp. 53-62; Surv. Meth., 2012, 38(2), pp. 189-202). Variance inflation factors are also computed for some general linear models (binomial, gaussian, poisson, quasibinomial, and quasipoisson) as described in Liao (U. Maryland thesis, 2010).
Author: Richard Valliant [aut, cre]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package scientific updated to version 2024.2 with previous version 2024.1 dated 2024-02-22

Title: Highly Customizable 'rmarkdown' Theme for Scientific Reporting
Description: Offers 'markdown' output formats designed with various scientific styles, allowing users to generate PDF and HTML outputs. The output has a contemporary appearance with vibrant visuals, providing numerous styles for effective highlighting. The package also includes additional features specifically tailored for front-page slides, enhancing the overall presentation and customization options. The package was created using the 'tufte' <https://rstudio.github.io/tufte/> package code as a starting point.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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New package qlcMatrix with initial version 0.9.8
Package: qlcMatrix
Version: 0.9.8
Date: 2024-05-06
Title: Utility Sparse Matrix Functions for Quantitative Language Comparison
Description: Extension of the functionality of the 'Matrix' package for using sparse matrices. Some of the functions are very general, while other are highly specific for special data format as used for quantitative language comparison.
URL: https://github.com/cysouw/qlcMatrix
BugReports: https://github.com/cysouw/qlcMatrix/issues
License: GPL-3
Encoding: UTF-8
Depends: Matrix (>= 1.2), R (>= 3.2), slam (>= 0.1-32), sparsesvd
Imports: methods, docopt
Suggests: MASS, knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-05-08 14:26:33 UTC; cysouw
Author: Michael Cysouw [aut, cre]
Maintainer: Michael Cysouw <cysouw@mac.com>
Repository: CRAN
Date/Publication: 2024-05-08 21:20:03 UTC

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Package pedprobr updated to version 0.9.4 with previous version 0.9.3 dated 2024-04-02

Title: Probability Computations on Pedigrees
Description: An implementation of the Elston-Stewart algorithm for calculating pedigree likelihoods given genetic marker data (Elston and Stewart (1971) <doi:10.1159/000152448>). The standard algorithm is extended to allow inbred founders. 'pedprobr' is part of the 'ped suite', a collection of packages for pedigree analysis in R. In particular, 'pedprobr' depends on 'pedtools' for pedigree manipulations and 'pedmut' for mutation modelling. For more information, see 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package npsurvSS updated to version 1.1.0 with previous version 1.0.1 dated 2019-12-18

Title: Sample Size and Power Calculation for Common Non-Parametric Tests in Survival Analysis
Description: A number of statistical tests have been proposed to compare two survival curves, including the difference in (or ratio of) t-year survival, difference in (or ratio of) p-th percentile survival, difference in (or ratio of) restricted mean survival time, and the weighted log-rank test. Despite the multitude of options, the convention in survival studies is to assume proportional hazards and to use the unweighted log-rank test for design and analysis. This package provides sample size and power calculation for all of the above statistical tests with allowance for flexible accrual, censoring, and survival (eg. Weibull, piecewise-exponential, mixture cure). It is the companion R package to the paper by Yung and Liu (2020) <doi:10.1111/biom.13196>. Specific to the weighted log-rank test, users may specify which approximations they wish to use to estimate the large-sample mean and variance. The default option has been shown to provide substantial improvement over the conventional sample [...truncated...]
Author: Godwin Yung [aut, cre], Yi Liu [aut]
Maintainer: Godwin Yung <godwin.y.yung@gmail.com>

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Package NGCHM updated to version 1.0.3 with previous version 1.0.2 dated 2024-03-28

Title: Next Generation Clustered Heat Maps
Description: Next-Generation Clustered Heat Maps (NG-CHMs) allow for dynamic exploration of heat map data in a web browser. 'NGCHM' allows users to create both stand-alone HTML files containing a Next-Generation Clustered Heat Map, and .ngchm files to view in the NG-CHM viewer. See Ryan MC, Stucky M, et al (2020) <doi:10.12688/f1000research.20590.2> for more details.
Author: Bradley M Broom [aut] , Mary A Rohrdanz [ctb, cre], Chris Wakefield [ctb], James Melott [ctb], MD Anderson Cancer Center [cph]
Maintainer: Mary A Rohrdanz <marohrdanz@mdanderson.org>

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Package ergMargins updated to version 1.3 with previous version 1.2 dated 2024-02-23

Title: Process Analysis for Exponential Random Graph Models
Description: Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.
Author: Scott Duxbury [aut, cre, cph]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

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Package ggsurvfit updated to version 1.1.0 with previous version 1.0.0 dated 2023-10-30

Title: Flexible Time-to-Event Figures
Description: Ease the creation of time-to-event (i.e. survival) endpoint figures. The modular functions create figures ready for publication. Each of the functions that add to or modify the figure are written as proper 'ggplot2' geoms or stat methods, allowing the functions from this package to be combined with any function or customization from 'ggplot2' and other 'ggplot2' extension packages.
Author: Daniel D. Sjoberg [aut, cre, cph] , Mark Baillie [aut], Charlotta Fruechtenicht [aut] , Steven Haesendonckx [aut] , Tim Treis [aut]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package TOSTER updated to version 0.8.3 with previous version 0.8.2 dated 2024-04-16

Title: Two One-Sided Tests (TOST) Equivalence Testing
Description: Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Author: Daniel Lakens [aut], Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package snowquery updated to version 1.2.0 with previous version 1.0.0 dated 2023-07-20

Title: Query 'Snowflake' Databases with 'SQL'
Description: A wrapper allowing 'SQL' queries to be run on a 'Snowflake' instance directly from an 'R' script, by using the 'snowflake-connector-python' package in the background.
Author: Dani Mermelstein [aut, cre, cph]
Maintainer: Dani Mermelstein <dmermelstein@hey.com>

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Package trackdem updated to version 0.7.2 with previous version 0.6 dated 2021-09-24

Title: Particle Tracking and Demography
Description: Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in evolutionary and ecological studies.
Author: Marjolein Bruijning, Marco D. Visser, Caspar A. Hallmann, Eelke Jongejans
Maintainer: Marjolein Bruijning <m.bruijning@uva.nl>

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Package SeuratObject updated to version 5.0.2 with previous version 5.0.1 dated 2023-11-17

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

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New package ofpetrial with initial version 0.1.0
Package: ofpetrial
Title: Design on-Farm Precision Field Agronomic Trials
Version: 0.1.0
Maintainer: Taro Mieno <tmieno2@unl.edu>
URL: https://difm-brain.github.io/ofpetrial/
BugReports: https://github.com/DIFM-Brain/ofpetrial/issues
Description: A comprehensive system for designing and implementing on-farm precision field agronomic trials. You provide field data, tell 'ofpetrial' how to design a trial, and get readily-usable trial design files and a report checks the validity and reliability of the trial design.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, sf, lwgeom, purrr, tidyr, tibble, ggpubr, ggExtra, terra, zip, rmarkdown, tmap, magrittr, dplyr, bookdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
Suggests: knitr
NeedsCompilation: no
Packaged: 2024-05-08 12:48:45 UTC; tmieno2
Author: Taro Mieno [aut, cre, cph] , Brittani Edge [aut, ctb]
Repository: CRAN
Date/Publication: 2024-05-08 14:00:02 UTC

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Package hhsmm updated to version 0.4.0 with previous version 0.3.7 dated 2024-05-01

Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Description: Develops algorithms for fitting, prediction, simulation and initialization of the following models (1)- hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>, (2)- nonparametric mixture of B-splines emissions (Langrock et al., 2015 <doi:10.1111/biom.12282>), (3)- regime switching regression model (Kim et al., 2008 <doi:10.1016/j.jeconom.2007.10.002>) and auto-regressive hidden hybrid Markov/semi-Markov model, (4)- spline-based nonparametric estimation of additive state-switching models (Langrock et al., 2018 <doi:10.1111/stan.12133>) (5)- robust emission model proposed by Qin et al, 2024 <doi:10.1007/s10479-024-05989-4> (6)- several emission distributions, including mixture of multivariate normal (which can also handle missing data using EM algorithm) and multi-nomial emission (for modeling polymer or DNA sequences) (7)- tools for prediction of future state sequence, computing the score of a new sequence, spli [...truncated...]
Author: Morteza Amini [aut, cre, cph], Afarin Bayat [aut], Reza Salehian [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>

Diff between hhsmm versions 0.3.7 dated 2024-05-01 and 0.4.0 dated 2024-05-08

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Package evreg updated to version 1.1.0 with previous version 1.0.4 dated 2024-04-22

Title: Evidential Regression
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

Diff between evreg versions 1.0.4 dated 2024-04-22 and 1.1.0 dated 2024-05-08

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New package banffIT with initial version 1.0.0
Package: banffIT
Title: Automatize Diagnosis Standardized Assignation Using the Banff Classification
Version: 1.0.0
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>
Description: Assigns standardized diagnoses using the Banff Classification (Category 1 to 6 diagnoses, including Acute and Chronic active T-cell mediated rejection as well as Active, Chronic active, and Chronic antibody mediated rejection). The main function considers a minimal dataset containing biopsies information in a specific format (described by a data dictionary), verifies its content and format (based on the data dictionary), assigns diagnoses, and creates a summary report. The package is developed on the reference guide to the Banff classification of renal allograft pathology Roufosse C, Simmonds N, Clahsen-van Groningen M, et al. A (2018) <doi:10.1097/TP.0000000000002366>. The full description of the Banff classification is available at <https://banfffoundation.org/>.
License: GPL-3
Depends: R (>= 3.4)
URL: https://github.com/PersonalizedTransplantCare/banffIT
BugReports: https://github.com/PersonalizedTransplantCare/banffIT/issues
Imports: dplyr (>= 1.1.0), rlang, tools, utils, crayon, stringr, fs, lubridate, tidyr, fabR, madshapR
Suggests: knitr, rmarkdown, usethis
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-05-08 13:08:28 UTC; guill
Author: Guillaume Fabre [aut, cre] , Ruth Sapir-Pichhadze [fnd, cph, ctb], Samuel El Bouzaidi Tiali [ctb], Jerome Laforme [ctb], Tina Wey [ctb]
Repository: CRAN
Date/Publication: 2024-05-08 14:00:06 UTC

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Package tsgarch updated to version 1.0.2 with previous version 1.0.0 dated 2024-04-24

Title: Univariate GARCH Models
Description: Multiple flavors of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model with a large choice of conditional distributions. Methods for specification, estimation, prediction, filtering, simulation, statistical testing and more. Represents a partial re-write and re-think of 'rugarch', making use of automatic differentiation for estimation.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

Diff between tsgarch versions 1.0.0 dated 2024-04-24 and 1.0.2 dated 2024-05-08

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Package RcppBlaze updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-02

Title: 'Rcpp' Integration for the 'Blaze' High-Performance 'C++' Math Library
Description: Blaze is an open-source, high-performance 'C++' math library for dense and sparse arithmetic. With its state-of-the-art Smart Expression Template implementation Blaze combines the elegance and ease of use of a domain-specific language with HPC-grade performance, making it one of the most intuitive and fastest 'C++' math libraries available. The 'RcppBlaze' package includes the header files from the 'Blaze' library with disabling some functionalities related to link to the thread and system libraries which make 'RcppBlaze' be a header-only library. Therefore, users do not need to install 'Blaze'.
Author: Ching-Chuan Chen [aut, cre, ctr] , Klaus Iglberger [aut] , Georg Georg [aut] , Tobias Scharpff [aut]
Maintainer: Ching-Chuan Chen <zw12356@gmail.com>

Diff between RcppBlaze versions 1.0.0 dated 2024-05-02 and 1.0.1 dated 2024-05-08

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Package marginaleffects updated to version 0.20.1 with previous version 0.20.0 dated 2024-05-06

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
Author: Vincent Arel-Bundock [aut, cre, cph] , Noah Greifer [ctb] , Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between marginaleffects versions 0.20.0 dated 2024-05-06 and 0.20.1 dated 2024-05-08

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New package RevSD with initial version 0.1.1
Package: RevSD
Title: Visualizing the Standard Deviation via Revolution
Version: 0.1.1
Maintainer: Hieu Nguyen <hieunguyen04062003@gmail.com>
Description: We visualize the standard deviation of a data set as the radius of a cylinder whose volume equals the total volume of several cylinders made by revolving the empirical cumulative distribution function about the vertical line through the mean. For more details see Sarkar and Rashid (2016) <doi:10.1080/00031305.2016.1165734>.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-07 18:09:05 UTC; PC
Author: Hieu Nguyen [aut, cre], Trung Pham [aut], Mamunur Rashid [aut], Jyotirmoy Sarkar [aut]
Repository: CRAN
Date/Publication: 2024-05-08 11:10:05 UTC

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New package read.dbc with initial version 1.0.7
Package: read.dbc
Title: Read Data Stored in DBC (Compressed DBF) Files
Description: Functions for reading and decompressing the DBC (compressed DBF) files. Please note that this is the file format used by the Brazilian Ministry of Health (DATASUS) to publish healthcare datasets. It is not related to the FoxPro or CANdb DBC file formats.
Version: 1.0.7
Depends: R (>= 3.3.0)
Imports: foreign
Maintainer: Daniela Petruzalek <daniela.petruzalek@gmail.com>
URL: https://github.com/danicat/read.dbc
BugReports: https://github.com/danicat/read.dbc/issues
Copyright: 2016 Daniela Petruzalek
License: AGPL-3
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-05-07 17:52:28 UTC; danicat
Author: Daniela Petruzalek [aut, cre, cph], Mark Adler [cph, ctb], Pablo Marcondes Fonseca [cph, ctb]
Repository: CRAN
Date/Publication: 2024-05-08 11:10:02 UTC

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New package MIMER with initial version 1.0.0
Package: MIMER
Title: Data Wrangling for Antimicrobial Resistance Studies
Version: 1.0.0
Description: Designed for analyzing the Medical Information Mart for Intensive Care(MIMIC) dataset, a repository of freely accessible electronic health records. MIMER(MIMIC-enabled Research) package, offers a suite of data wrangling functions tailored specifically for preparing the dataset for research purposes, particularly in antimicrobial resistance(AMR) studies. It simplifies complex data manipulation tasks, allowing researchers to focus on their primary inquiries without being bogged down by wrangling complexities.
License: GPL (>= 3)
Encoding: UTF-8
Imports: AMR, dplyr, fuzzyjoin, rlang, stringr, tidyr, testthat, data.table, reshape2
NeedsCompilation: no
Packaged: 2024-05-07 16:42:24 UTC; anoopvelluva
Author: Anoop Velluva [aut, cre]
Maintainer: Anoop Velluva <anoop.velluva@liverpool.ac.uk>
Repository: CRAN
Date/Publication: 2024-05-08 11:10:08 UTC

More information about MIMER at CRAN
Permanent link

New package mxfda with initial version 0.2.1
Package: mxfda
Title: A Functional Data Analysis Package for Spatial Single Cell Data
Version: 0.2.1
Date: 2024-05-06
Description: Methods and tools for deriving spatial summary functions from single-cell imaging data and performing functional data analyses. Functions can be applied to other single-cell technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.
License: MIT + file LICENSE
URL: https://github.com/julia-wrobel/mxfda/, http://juliawrobel.com/mxfda/
BugReports: https://github.com/julia-wrobel/mxfda/issues/
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse, survival, ggpubr, spatialTIME, tibble, broom, refund.shiny
Imports: magrittr, rlang, tidyr, purrr, dplyr, ggplot2, lifecycle, methods, stats, refund (>= 0.1-35), reshape2, mgcv, spatstat.geom, spatstat.explore, SpatEntropy, SimDesign
Depends: R (>= 2.10),
LazyData: true
LazyDataCompression: bzip2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-05-07 15:22:52 UTC; 4471592
Author: Julia Wrobel [aut] , Alex Soupir [aut, cre]
Maintainer: Alex Soupir <alex.soupir@moffitt.org>
Repository: CRAN
Date/Publication: 2024-05-08 11:00:02 UTC

More information about mxfda at CRAN
Permanent link

New package MBCbook with initial version 0.1.2
Encoding: UTF-8
Package: MBCbook
Title: Companion Package for the Book "Model-Based Clustering and Classification for Data Science"
Version: 0.1.2
Date: 2024-05-06
Depends: R (>= 3.1.0), mclust, Rmixmod, MASS, mvtnorm
Suggests: network, jpeg
Description: The companion package provides all original data sets and functions that are used in the book "Model-Based Clustering and Classification for Data Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery (2019, ISBN:9781108644181).
License: GPL (>= 2)
NeedsCompilation: no
URL: https://github.com/cbouveyron/MBCbook
BugReports: https://github.com/cbouveyron/MBCbook/issues
Packaged: 2024-05-07 14:48:15 UTC; charles
Author: Charles Bouveyron [cre, aut], Gilles Celeux [aut], T. Brendan Murphy [aut], Adrian Raftery [aut]
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-08 11:00:06 UTC

More information about MBCbook at CRAN
Permanent link

Package rqti updated to version 0.2.0 with previous version 0.1.1 dated 2024-03-21

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

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More information about rqti at CRAN
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Package tidylog updated to version 1.1.0 with previous version 1.0.2 dated 2020-07-03

Title: Logging for 'dplyr' and 'tidyr' Functions
Description: Provides feedback about 'dplyr' and 'tidyr' operations.
Author: Benjamin Elbers [aut, cre] , Damiano Oldoni [ctb]
Maintainer: Benjamin Elbers <elbersb@gmail.com>

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Package rivnet updated to version 0.4.2 with previous version 0.4.1 dated 2024-04-16

Title: Extract and Analyze Rivers from Elevation Data
Description: Seamless extraction of river networks from digital elevation models data. The package allows analysis of digital elevation models that can be either externally provided or downloaded from open source repositories (thus interfacing with the 'elevatr' package). Extraction is performed via the 'D8' flow direction algorithm of TauDEM (Terrain Analysis Using Digital Elevation Models), thus interfacing with the 'traudem' package. Resulting river networks are compatible with functions from the 'OCNet' package. See Carraro (2023) <doi:10.5194/hess-27-3733-2023> for a presentation of the package.
Author: Luca Carraro [cre, aut], University of Zurich [cph, fnd]
Maintainer: Luca Carraro <luca.carraro@hotmail.it>

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Package openalexR updated to version 1.3.1 with previous version 1.3.0 dated 2024-05-03

Title: Getting Bibliographic Records from 'OpenAlex' Database Using 'DSL' API
Description: A set of tools to extract bibliographic content from 'OpenAlex' database using API <https://docs.openalex.org>.
Author: Massimo Aria [aut, cre, cph] , Corrado Cuccurullo [ctb] , Trang Le [aut] , June Choe [ctb]
Maintainer: Massimo Aria <aria@unina.it>

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Package HVT updated to version 24.5.1 with previous version 23.11.1 dated 2023-11-19

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmaps for Data Analysis
Description: Facilitates building topology preserving maps for rich multivariate data. Credits to Mu Sigma for their continuous support throughout the development of the package.
Author: Zubin Dowlaty [aut], Mu Sigma, Inc. [cre]
Maintainer: "Mu Sigma, Inc." <ird.experiencelab@mu-sigma.com>

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Package RcppArmadillo updated to version 0.12.8.3.0 with previous version 0.12.8.2.1 dated 2024-04-15

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package DImodelsMulti updated to version 1.1.1 with previous version 1.1.0 dated 2024-04-15

Title: Fit Multivariate Diversity-Interactions Models with Repeated Measures
Description: An add-on package to 'DImodels' for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.
Author: Laura Byrne [aut, cre] , Rishabh Vishwakarma [aut], Rafael de Andrade Moral [aut], Caroline Brophy [aut]
Maintainer: Laura Byrne <ByrneL54@tcd.ie>

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Package TKCat updated to version 1.1.7 with previous version 1.0.7 dated 2023-02-16

Title: Tailored Knowledge Catalog
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detail data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored an shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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More information about TKCat at CRAN
Permanent link

Package prediction (with last version 0.3.17) was removed from CRAN

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

2024-04-24 0.3.17

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