Mon, 08 Jul 2024

Package adbcsqlite updated to version 0.13.0 with previous version 0.12.0 dated 2024-05-22

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package statpsych updated to version 1.6.0 with previous version 1.5.0 dated 2023-12-20

Title: Statistical Methods for Psychologists
Description: Implements confidence interval and sample size methods that are especially useful in psychological research. The methods can be applied in 1-group, 2-group, paired-samples, and multiple-group designs and to a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, plus several measures of correlation and association. The confidence intervals and sample size functions are applicable to single parameters as well as differences, ratios, and linear contrasts of parameters. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details see: Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

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Package syllogi updated to version 1.0.3 with previous version 1.0.2 dated 2024-01-08

Title: Collection of Data Sets for Teaching Purposes
Description: Collection (syllogi in greek) of real and fictitious data sets for teaching purposes. The datasets were manually entered by the author from the respective references as listed in the individual dataset documentation. The fictions datasets are the creation of the author, that he has found useful for teaching statistics.
Author: Jared Studyvin [aut, cre]
Maintainer: Jared Studyvin <studyvinstat@gmail.com>

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Package rodeo updated to version 0.8.2 with previous version 0.8.1 dated 2024-07-04

Title: A Code Generator for ODE-Based Models
Description: Provides an R6 class and several utility methods to facilitate the implementation of models based on ordinary differential equations. The heart of the package is a code generator that creates compiled 'Fortran' (or 'R') code which can be passed to a numerical solver. There is direct support for solvers contained in packages 'deSolve' and 'rootSolve'.
Author: David Kneis <david.kneis@tu-dresden.de>
Maintainer: David Kneis <david.kneis@tu-dresden.de>

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Package phoenix updated to version 1.1.1 with previous version 1.1.0 dated 2024-05-03

Title: The Phoenix Pediatric Sepsis and Septic Shock Criteria
Description: Implementation of the Phoenix and Phoenix-8 Sepsis Criteria as described in "Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock" by Sanchez-Pinto, Bennett, DeWitt, Russell et al. (2024) <doi:10.1001/jama.2024.0196> (Drs. Sanchez-Pinto and Bennett contributed equally to this manuscript; Dr. DeWitt and Mr. Russell contributed equally to the manuscript), "International Consensus Criteria for Pediatric Sepsis and Septic Shock" by Schlapbach, Watson, Sorce, Argent, et al. (2024) <doi:10.1001/jama.2024.0179> (Drs Schlapbach, Watson, Sorce, and Argent contributed equally) and the application note "phoenix: an R package and Python module for calculating the Phoenix pediatric sepsis score and criteria" by DeWitt, Russell, Rebull, Sanchez-Pinto, and Bennett (2024) <doi:10.1093/jamiaopen/ooae066>.
Author: Peter DeWitt [aut, cre] , Seth Russell [ctb] , Meg Rebull [ctb] , Tell Bennett [ctb] , L. Nelson Sanchez-Pinto [ctb]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package esci updated to version 1.0.3 with previous version 1.0.2 dated 2024-03-21

Title: Estimation Statistics with Confidence Intervals
Description: A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Author: Robert Calin-Jageman [aut, cre, cph]
Maintainer: Robert Calin-Jageman <rcalinjageman@dom.edu>

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Package energyr updated to version 0.1.3 with previous version 0.1.2 dated 2018-12-02

Title: Data Published by the United States Federal Energy Regulatory Commission
Description: Data published by the United States Federal Energy Regulatory Commission including electric company financial data, natural gas company financial data, hydropower plant data, liquified natural gas plant data, oil company financial data natural gas company financial data, and natural gas storage field data.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package evt0 updated to version 1.1.5 with previous version 1.1-4 dated 2023-04-21

Title: Mean of Order P, Peaks over Random Threshold Hill and High Quantile Estimates
Description: The R package proposes extreme value index estimators for heavy tailed models by mean of order p <DOI:10.1016/j.csda.2012.07.019>, peaks over random threshold <DOI:10.57805/revstat.v4i3.37> and a bias-reduced estimator <DOI:10.1080/00949655.2010.547196>. The package also computes moment, generalised Hill <DOI:10.2307/3318416> and mixed moment estimates for the extreme value index. High quantiles and value at risk estimators based on these estimators are implemented.
Author: Leo Belzile [cre] , B. G. Manjunath [aut] , Frederico Caeiro [aut] , Maria Ivette. Gomes [ctb] , Maria Isabel Fraga Alves [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package forestly updated to version 0.1.1 with previous version 0.1.0 dated 2023-07-19

Title: Interactive Forest Plot
Description: Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.
Author: Yilong Zhang [aut], Benjamin Wang [aut, cre], Yujie Zhao [aut], Nan Xiao [ctb], Hiroaki Fukuda [ctb], Yulia Sidi [ctb], Xuan Deng [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Benjamin Wang <benjamin.wang@merck.com>

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Package TruncatedNormal updated to version 2.3 with previous version 2.2.2 dated 2021-09-08

Title: Truncated Multivariate Normal and Student Distributions
Description: A collection of functions to deal with the truncated univariate and multivariate normal and Student distributions, described in Botev (2017) <doi:10.1111/rssb.12162> and Botev and L'Ecuyer (2015) <doi:10.1109/WSC.2015.7408180>.
Author: Zdravko Botev [aut] , Leo Belzile [aut, cre]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package SimDesign updated to version 2.16 with previous version 2.15.1 dated 2024-04-24

Title: Structure for Organizing Monte Carlo Simulation Designs
Description: Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Author: Phil Chalmers [aut, cre] , Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package Compositional updated to version 6.9 with previous version 6.8 dated 2024-04-01

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451> b) Tsagris M. (2014). "The k-NN algorithm for compositional data: a revised approach with and without zero values present". Journal of Data Science, 12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c) Tsagris M. (2015). "A novel, divergence based, regression for compositional data". Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. <doi:10.48550/arXiv.151 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package WeibullR.plotly updated to version 0.2.1 with previous version 0.2.0 dated 2023-10-14

Title: Interactive Weibull Probability Plots with 'WeibullR'
Description: Build interactive Weibull Probability Plots with 'WeibullR' by David Silkworth and Jurgen Symynck (2022) <https://CRAN.R-project.org/package=WeibullR>, an R package for Weibull analysis, and 'plotly' by Carson Sievert (2020) <https://plotly-r.com>, an interactive web-based graphing library.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package surveil updated to version 0.3.0 with previous version 0.2.2 dated 2023-10-02

Title: Time Series Models for Disease Surveillance
Description: Fits time trend models for routine disease surveillance tasks and returns probability distributions for a variety of quantities of interest, including age-standardized rates, period and cumulative percent change, and measures of health inequality. The models are appropriate for count data such as disease incidence and mortality data, employing a Poisson or binomial likelihood and the first-difference (random-walk) prior for unknown risk. Optionally add a covariance matrix for multiple, correlated time series models. Inference is completed using Markov chain Monte Carlo via the Stan modeling language. References: Donegan, Hughes, and Lee (2022) <doi:10.2196/34589>; Stan Development Team (2021) <https://mc-stan.org>; Theil (1972, ISBN:0-444-10378-3).
Author: Connor Donegan [aut, cre]
Maintainer: Connor Donegan <connor.donegan@gmail.com>

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Package hgwrr updated to version 0.4-0 with previous version 0.3-0 dated 2023-05-26

Title: Hierarchical and Geographically Weighted Regression
Description: This model divides coefficients into three types, i.e., local fixed effects, global fixed effects, and random effects (Hu et al., 2022)<doi:10.1177/23998083211063885>. If data have spatial hierarchical structures (especially are overlapping on some locations), it is worth trying this model to reach better fitness.
Author: Yigong Hu, Richard Harris, Richard Timmerman
Maintainer: Yigong Hu <yigong.hu@bristol.ac.uk>

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Package QuickJSR updated to version 1.3.0 with previous version 1.2.2 dated 2024-06-07

Title: Interface for the 'QuickJS' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , Fabrice Bellard [cph] , Charlie Gordon [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

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Package PointedSDMs updated to version 2.1.0 with previous version 1.3.2 dated 2024-02-02

Title: Fit Models Derived from Point Processes to Species Distributions using 'inlabru'
Description: Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.
Author: Philip Mostert [aut, cre], Bob O'hara [aut]
Maintainer: Philip Mostert <philip.s.mostert@ntnu.no>

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Package gitignore updated to version 0.1.7 with previous version 0.1.6 dated 2023-12-12

Title: Create Useful .gitignore Files for your Project
Description: Simple interface to query gitignore.io to fetch gitignore templates that can be included in the .gitignore file. More than 450 templates are currently available.
Author: Philippe Massicotte [aut, cre] , Amanda Dobbyn [rev], Mauro Lepore [rev]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

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Package customiser updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-24

Title: Use R Markdown to Write your "Rprofile"
Description: A simple way to write ".Rprofile" code in an R Markdown file and have it knit to the correct location for your operating system.
Author: James Laird-Smith [aut, cre, cph]
Maintainer: James Laird-Smith <jameslairdsmith@gmail.com>

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Package convevol updated to version 2.2.0 with previous version 2.0.1 dated 2023-06-30

Title: Analysis of Convergent Evolution
Description: Quantifies and assesses the significance of convergent evolution using multiple methods and measures as described in Stayton (2015) <DOI: 10.1111/evo.12729> and Grossnickle et al. 2023. Also displays results in various ways.
Author: William Brightly [aut], C. Tristan Stayton [aut, cre]
Maintainer: C. Tristan Stayton <tstayton@bucknell.edu>

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Package optiSel updated to version 2.0.9 with previous version 2.0.8 dated 2024-06-12

Title: Optimum Contribution Selection and Population Genetics
Description: A framework for the optimization of breeding programs via optimum contribution selection and mate allocation. An easy to use set of function for computation of optimum contributions of selection candidates, and of the population genetic parameters to be optimized. These parameters can be estimated using pedigree or genotype information, and include kinships, kinships at native haplotype segments, and breed composition of crossbred individuals. They are suitable for managing genetic diversity, removing introgressed genetic material, and accelerating genetic gain. Additionally, functions are provided for computing genetic contributions from ancestors, inbreeding coefficients, the native effective size, the native genome equivalent, pedigree completeness, and for preparing and plotting pedigrees. The methods are described in:\n Wellmann, R., and Pfeiffer, I. (2009) <doi:10.1017/S0016672309000202>.\n Wellmann, R., and Bennewitz, J. (2011) <doi:10.2527/jas.2010-3709>.\n Wellmann [...truncated...]
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <r.wellmann@uni-hohenheim.de>

Diff between optiSel versions 2.0.8 dated 2024-06-12 and 2.0.9 dated 2024-07-08

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Package jskm updated to version 0.5.5 with previous version 0.5.3 dated 2024-01-26

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package collapse updated to version 2.0.15 with previous version 2.0.14 dated 2024-05-24

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, class-agnostic, robust and programmer friendly. Core functionality includes a rich set of S3 generic grouped and weighted statistical functions for vectors, matrices and data frames, which provide efficient low-level vectorizations, OpenMP multithreading, and skip missing values by default. These are integrated with fast grouping and ordering algorithms (also callable from C), and efficient data manipulation functions. The package also provides a flexible and rigorous approach to time series and panel data in R. It further includes fast functions for common statistical procedures, detailed (grouped, weighted) summary statistics, powerful tools to work with nested data, fast data object conversions, functions for memory efficient R programming, and helpers to effectively deal with variable labels, attributes, and missing data. It is well integrated with base R classes, 'dplyr'/' [...truncated...]
Author: Sebastian Krantz [aut, cre] , Matt Dowle [ctb], Arun Srinivasan [ctb], Morgan Jacob [ctb], Dirk Eddelbuettel [ctb], Laurent Berge [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [...truncated...]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package rmsb updated to version 1.1-1 with previous version 1.1-0 dated 2024-03-12

Title: Bayesian Regression Modeling Strategies
Description: A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <https://www.jstor.org/stable/2347760>.
Author: Frank Harrell [aut, cre] , Ben Goodrich [ctb] , Ben Bolker [ctb] , Doug Bates [ctb]
Maintainer: Frank Harrell <fh@fharrell.com>

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More information about rmsb at CRAN
Permanent link

Package LUCIDus updated to version 3.0.2 with previous version 3.0.1 dated 2023-10-31

Title: LUCID with Multiple Omics Data
Description: An implementation of estimating the Latent Unknown Clusters By Integrating Multi-omics Data (LUCID) model (Peng (2019) <doi:10.1093/bioinformatics/btz667>). LUCID conducts integrated clustering using exposures, omics information (and outcome information as an option). This package implements three different integration strategies for multi-omics data analysis within the LUCID framework: LUCID early integration (the original LUCID model), LUCID in parallel (intermediate integration), and LUCID in serial (late integration). Automated model selection for each LUCID model is available to obtain the optimal number of latent clusters, and an integrated imputation approach is implemented to handle sporadic and list-wise missingness in multi-omics data. Lasso-type regularity for exposure and omics features were added. S3 methods for summary and plotting functions were fixed.
Author: Qiran Jia [aut, cre] , Yinqi Zhao [aut] , David Conti [ths] , Jesse Goodrich [ctb]
Maintainer: Qiran Jia <qiranjia@usc.edu>

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Package ClusBoot updated to version 1.2.2 with previous version 1.2.1 dated 2023-10-17

Title: Bootstrap a Clustering Solution to Establish the Stability of the Clusters
Description: Providing a cluster allocation for n samples, either with an $n \times p$ data matrix or an $n \times n$ distance matrix, a bootstrap procedure is performed. The proportion of bootstrap replicates where a pair of samples cluster in the same cluster indicates who tightly the samples in a particular cluster clusters together.
Author: Sugnet Lubbe [aut, cre, cph]
Maintainer: Sugnet Lubbe <slubbe@sun.ac.za>

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Package PPCDT updated to version 0.2.0 with previous version 0.1.0 dated 2024-05-25

Title: An Optimal Subset Selection for Distributed Hypothesis Testing
Description: In the era of big data, data redundancy and distributed characteristics present novel challenges to data analysis. This package introduces a method for estimating optimal subsets of redundant distributed data, based on PPCDT (Conjunction of Power and P-value in Distributed Settings). Leveraging PPC technology, this approach can efficiently extract valuable information from redundant distributed data and determine the optimal subset. Experimental results demonstrate that this method not only enhances data quality and utilization efficiency but also assesses its performance effectively. The philosophy of the package is described in Guo G. (2020) <doi:10.1007/s00180-020-00974-4>.
Author: Guangbao Guo [aut, cre, cph], Jiarui Li [ctb]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Package paws.common updated to version 0.7.4 with previous version 0.7.3 dated 2024-05-15

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

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Package bbk updated to version 0.4.0 with previous version 0.3.0 dated 2024-06-12

Title: Client for the Deutsche Bundesbank and European Central Bank APIs
Description: Download data and metadata from the 'Bundesbank SDMX Web Service API' found at <https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data> and the 'ECB Data Portal API' found at <https://data.ecb.europa.eu/help/api/overview>.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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New package BaSTA with initial version 2.0.0
Package: BaSTA
Title: Age-Specific Bayesian Survival Trajectory Analysis from Incomplete Census or Capture-Recapture/Recovery Data
Version: 2.0.0
Date: 2024-07-05
Depends: R (>= 3.5.0)
Imports: snowfall (>= 1.84-6-2)
Description: Estimates survival and mortality with covariates from census or capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots, as described in Colchero, Jones, and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and Colchero et al. (2021) <doi:10.1038/s41467-021-23894-3>.
License: GPL (>= 3)
LazyData: yes
NeedsCompilation: no
Packaged: 2024-07-08 08:47:00 UTC; fernando_colchero
Author: Fernando Colchero [aut, cre], Owen Jones [ctb]
Maintainer: Fernando Colchero <fernando_colchero@eva.mpg.de>
Repository: CRAN
Date/Publication: 2024-07-08 11:00:09 UTC

More information about BaSTA at CRAN
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Package DiscreteFDR updated to version 2.0.0 with previous version 1.3.7 dated 2024-02-08

Title: FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests
Description: Implementations of the multiple testing procedures for discrete tests described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with a wrapper allowing to apply discrete procedures directly to data.
Author: Sebastian Doehler [aut, ctb], Florian Junge [aut, ctb, cre], Guillermo Durand [aut, ctb], Etienne Roquain [ctb], Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package biplotEZ updated to version 2.0 with previous version 1.2.0 dated 2023-11-28

Title: EZ-to-Use Biplots
Description: Provides users with an EZ-to-use platform for representing data with biplots. Currently principal component analysis (PCA) and canonical variate analysis (CVA) biplots are included. This is accompanied by various formatting options for the samples and axes. Alpha-bags and concentration ellipses are included for visual enhancements and interpretation. For an extensive discussion on the topic, see Gower, J.C., Lubbe, S. and le Roux, N.J. (2011, ISBN: 978-0-470-01255-0) Understanding Biplots. Wiley: Chichester.
Author: Sugnet Lubbe [aut, cre, cph] , Niel le Roux [aut] , Johane Nienkemper-Swanepoel [aut] , Raeesa Ganey [aut] , Ruan Buys [aut] , Zoe-Mae Adams [aut] , Peter Manefeldt [aut]
Maintainer: Sugnet Lubbe <muvisu@sun.ac.za>

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More information about biplotEZ at CRAN
Permanent link

Package rethnicity updated to version 0.2.5 with previous version 0.2.4 dated 2023-03-13

Title: Predicting Ethnic Group from Names
Description: Implementation of the race/ethnicity prediction method, described in "rethnicity: An R package for predicting ethnicity from names" by Fangzhou Xie (2022) <doi:10.1016/j.softx.2021.100965> and "Rethnicity: Predicting Ethnicity from Names" by Fangzhou Xie (2021) <doi:10.48550/arXiv.2109.09228>.
Author: Fangzhou Xie [aut, cre]
Maintainer: Fangzhou Xie <fangzhou.xie@rutgers.edu>

Diff between rethnicity versions 0.2.4 dated 2023-03-13 and 0.2.5 dated 2024-07-08

 DESCRIPTION                     |   11 
 MD5                             |   29 
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 16 files changed, 4731 insertions(+), 4864 deletions(-)

More information about rethnicity at CRAN
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Package splines2 updated to version 0.5.3 with previous version 0.5.2 dated 2024-05-09

Title: Regression Spline Functions and Classes
Description: Constructs basis functions of B-splines, M-splines, I-splines, convex splines (C-splines), periodic splines, natural cubic splines, generalized Bernstein polynomials, their derivatives, and integrals (except C-splines) by closed-form recursive formulas. It also contains a C++ head-only library integrated with Rcpp. See Wang and Yan (2021) <doi:10.6339/21-JDS1020> for details.
Author: Wenjie Wang [aut, cre] , Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between splines2 versions 0.5.2 dated 2024-05-09 and 0.5.3 dated 2024-07-08

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More information about splines2 at CRAN
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New package translit.uk with initial version 1.0.0
Package: translit.uk
Title: Ukrainian to Latin Transliteration
Version: 1.0.0
Description: Provides a robust and user-friendly solution for transliterating Ukrainian strings into Latin symbols.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Amice13/translit.uk
BugReports: https://github.com/Amice13/translit.uk/issues
NeedsCompilation: no
Packaged: 2024-07-04 14:49:17 UTC; kiril
Author: Kyrylo Zakharov [aut, cre]
Maintainer: Kyrylo Zakharov <kirillzakharov13@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-08 05:10:02 UTC

More information about translit.uk at CRAN
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New package taxnames with initial version 0.1.0
Package: taxnames
Version: 0.1.0
Encoding: UTF-8
Title: Formatting Taxonomic Names in Markdown
Depends: R (>= 4.3.0)
Imports: taxlist (>= 0.3.0)
Suggests: testthat (>= 3.0.0)
Description: A collection of functions used to format taxonomic names in Markdown documents. Those functions work with data structured according to Alvarez and Luebert (2018) <doi:10.3897/bdj.6.e23635>.
License: GPL-3
URL: https://github.com/kamapu/taxnames
BugReports: https://github.com/kamapu/taxnames/issues
NeedsCompilation: no
Packaged: 2024-07-05 11:19:11 UTC; miguel
Author: Miguel Alvarez [aut, cre]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-08 05:10:05 UTC

More information about taxnames at CRAN
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New package Rdune with initial version 1.0.2
Package: Rdune
Title: 'Creates Color Palettes Inspired by Dune'
Version: 1.0.2
Maintainer: Nicholas Vietto <nicholasvietto@gmail.com>
Description: Enables the use of color palettes inspired by the 'Dune' movies. These palettes are compatible with 'ggplot2'. See Wickham (2016) <doi:10.1007/978-3-319-24277-4> for more details on 'ggplot2'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/nvietto/Rdune
BugReports: https://github.com/nvietto/Rdune/issues
NeedsCompilation: no
Packaged: 2024-07-05 14:06:08 UTC; nicholasvietto
Author: Nicholas Vietto [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-07-08 05:30:05 UTC

More information about Rdune at CRAN
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Package RcppArmadillo updated to version 14.0.0-1 with previous version 0.12.8.4.0 dated 2024-05-31

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>

Diff between RcppArmadillo versions 0.12.8.4.0 dated 2024-05-31 and 14.0.0-1 dated 2024-07-08

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 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/MapMat_meat.hpp                         |  176 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/Mat_bones.hpp                           |   34 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/Mat_meat.hpp                            | 1376 +++++-----
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/OpCube_meat.hpp                         |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/Op_meat.hpp                             |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/Proxy.hpp                               |  174 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/ProxyCube.hpp                           |   20 
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 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/SizeCube_meat.hpp                       |    4 
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 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_diagvec.hpp                          |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_diff.hpp                             |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_dot.hpp                              |   26 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eig_gen.hpp                          |   38 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eig_pair.hpp                         |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eig_sym.hpp                          |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eigs_gen.hpp                         |   42 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eigs_sym.hpp                         |   30 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_elem.hpp                             |  166 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eps.hpp                              |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_expmat.hpp                           |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_eye.hpp                              |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_fft.hpp                              |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_fft2.hpp                             |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_find.hpp                             |   38 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_find_unique.hpp                      |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_flip.hpp                             |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_hess.hpp                             |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_hist.hpp                             |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_histc.hpp                            |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_index_max.hpp                        |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_index_min.hpp                        |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_inplace_strans.hpp                   |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_inplace_trans.hpp                    |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_interp1.hpp                          |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_interp2.hpp                          |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_intersect.hpp                        |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_inv.hpp                              |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_inv_sympd.hpp                        |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_join.hpp                             |   58 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_kmeans.hpp                           |    2 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_kron.hpp                             |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_log_det.hpp                          |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_log_normpdf.hpp                      |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_logmat.hpp                           |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_lu.hpp                               |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_max.hpp                              |   34 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_mean.hpp                             |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_median.hpp                           |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_min.hpp                              |   34 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_misc.hpp                             |   64 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_mvnrnd.hpp                           |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_n_unique.hpp                         |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_nonzeros.hpp                         |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_norm.hpp                             |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_normalise.hpp                        |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_normcdf.hpp                          |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_normpdf.hpp                          |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_numel.hpp                            |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_ones.hpp                             |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_orth_null.hpp                        |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_pinv.hpp                             |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_polyfit.hpp                          |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_polyval.hpp                          |    2 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_powext.hpp                           |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_powmat.hpp                           |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_princomp.hpp                         |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_prod.hpp                             |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_qr.hpp                               |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_quantile.hpp                         |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_qz.hpp                               |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_randg.hpp                            |   36 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_randi.hpp                            |   40 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_randn.hpp                            |   48 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_randperm.hpp                         |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_randu.hpp                            |   48 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_range.hpp                            |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_rank.hpp                             |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_regspace.hpp                         |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_repelem.hpp                          |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_repmat.hpp                           |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_reshape.hpp                          |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_resize.hpp                           |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_reverse.hpp                          |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_roots.hpp                            |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_schur.hpp                            |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_shift.hpp                            |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_shuffle.hpp                          |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_size.hpp                             |   46 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_solve.hpp                            |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sort.hpp                             |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sort_index.hpp                       |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_speye.hpp                            |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_spones.hpp                           |    2 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sprandn.hpp                          |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sprandu.hpp                          |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_spsolve.hpp                          |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sqrtmat.hpp                          |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_stddev.hpp                           |   62 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_strans.hpp                           |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sum.hpp                              |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_svd.hpp                              |   26 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_svds.hpp                             |   26 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_sylvester.hpp                        |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_symmat.hpp                           |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_toeplitz.hpp                         |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trace.hpp                            |   38 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trans.hpp                            |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trapz.hpp                            |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trig.hpp                             |   60 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trimat.hpp                           |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trimat_ind.hpp                       |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trunc_exp.hpp                        |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_trunc_log.hpp                        |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_unique.hpp                           |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_var.hpp                              |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_vecnorm.hpp                          |   42 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_vectorise.hpp                        |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_wishrnd.hpp                          |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/fn_zeros.hpp                            |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_affmul_meat.hpp                    |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_atan2_meat.hpp                     |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_conv_meat.hpp                      |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_cor_meat.hpp                       |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_cov_meat.hpp                       |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_cross_meat.hpp                     |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_hist_meat.hpp                      |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_histc_meat.hpp                     |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_hypot_meat.hpp                     |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_intersect_meat.hpp                 |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_join_meat.hpp                      |   52 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_kron_meat.hpp                      |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_max_meat.hpp                       |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_min_meat.hpp                       |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_mixed_meat.hpp                     |   56 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_mvnrnd_meat.hpp                    |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_polyfit_meat.hpp                   |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_polyval_meat.hpp                   |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_powext_meat.hpp                    |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_quantile_meat.hpp                  |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_relational_meat.hpp                |   40 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_solve_meat.hpp                     |  160 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_times_meat.hpp                     |  151 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_times_misc_meat.hpp                |   52 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_toeplitz_meat.hpp                  |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/glue_trapz_meat.hpp                     |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/gmm_diag_meat.hpp                       |  218 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/gmm_full_meat.hpp                       |  206 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/gmm_misc_meat.hpp                       |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/injector_meat.hpp                       |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/memory.hpp                              |    2 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtGlueCube_meat.hpp                     |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtGlue_meat.hpp                         |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtOpCube_meat.hpp                       |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtOp_meat.hpp                           |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtSpGlue_meat.hpp                       |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtSpOp_bones.hpp                        |    5 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtSpOp_meat.hpp                         |   19 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtSpReduceOp_bones.hpp                  |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mtSpReduceOp_meat.hpp                   |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mul_gemm.hpp                            |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mul_gemm_mixed.hpp                      |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mul_gemv.hpp                            |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mul_herk.hpp                            |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/mul_syrk.hpp                            |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_DenseGenMatProd_meat.hpp         |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_DoubleShiftQR_meat.hpp           |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_GenEigsSolver_meat.hpp           |   30 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_SortEigenvalue.hpp               |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_SparseGenMatProd_meat.hpp        |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_SparseGenRealShiftSolve_meat.hpp |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_SymEigsShiftSolver_meat.hpp      |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_SymEigsSolver_meat.hpp           |   30 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_TridiagEigen_meat.hpp            |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_UpperHessenbergEigen_meat.hpp    |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/newarp_UpperHessenbergQR_meat.hpp       |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_all_meat.hpp                         |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_any_meat.hpp                         |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_chi2rnd_meat.hpp                     |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_chol_meat.hpp                        |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_clamp_meat.hpp                       |   52 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_col_as_mat_meat.hpp                  |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_cond_meat.hpp                        |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_cor_meat.hpp                         |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_cov_meat.hpp                         |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_cumprod_meat.hpp                     |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_cumsum_meat.hpp                      |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_cx_scalar_meat.hpp                   |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_det_meat.hpp                         |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_diagmat_meat.hpp                     |   60 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_diagvec_meat.hpp                     |   42 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_diff_meat.hpp                        |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_dot_bones.hpp                        |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_dot_meat.hpp                         |  168 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_dotext_meat.hpp                      |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_expmat_meat.hpp                      |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_fft_meat.hpp                         |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_find_meat.hpp                        |   38 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_find_unique_meat.hpp                 |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_flip_meat.hpp                        |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_hist_meat.hpp                        |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_htrans_meat.hpp                      |   28 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_index_max_meat.hpp                   |   38 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_index_min_meat.hpp                   |   38 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_inv_gen_meat.hpp                     |   50 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_inv_spd_meat.hpp                     |   58 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_log_det_meat.hpp                     |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_logmat_meat.hpp                      |   62 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_max_meat.hpp                         |   88 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_mean_meat.hpp                        |   46 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_median_meat.hpp                      |   34 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_min_meat.hpp                         |   88 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_misc_meat.hpp                        |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_nonzeros_bones.hpp                   |   11 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_nonzeros_meat.hpp                    |   54 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_norm2est_meat.hpp                    |   36 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_norm_meat.hpp                        |   48 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_normalise_meat.hpp                   |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_orth_null_meat.hpp                   |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_pinv_meat.hpp                        |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_powmat_meat.hpp                      |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_princomp_meat.hpp                    |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_prod_meat.hpp                        |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_range_meat.hpp                       |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_rank_meat.hpp                        |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_rcond_meat.hpp                       |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_relational_meat.hpp                  |   40 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_repelem_meat.hpp                     |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_repmat_meat.hpp                      |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_reshape_meat.hpp                     |   17 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_resize_meat.hpp                      |   15 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_reverse_meat.hpp                     |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_roots_meat.hpp                       |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_row_as_mat_meat.hpp                  |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_shift_meat.hpp                       |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_shuffle_meat.hpp                     |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sort_index_meat.hpp                  |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sort_meat.hpp                        |   26 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_as_dense_bones.hpp                |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_as_dense_meat.hpp                 |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_diagvec_bones.hpp                 |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_diagvec_meat.hpp                  |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_max_bones.hpp                     |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_max_meat.hpp                      |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_mean_bones.hpp                    |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_mean_meat.hpp                     |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_min_bones.hpp                     |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_min_meat.hpp                      |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_minus_bones.hpp                   |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_minus_meat.hpp                    |  176 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_nonzeros_bones.hpp                |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_nonzeros_meat.hpp                 |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_plus_bones.hpp                    |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_plus_meat.hpp                     |   89 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_stddev_bones.hpp                  |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_stddev_meat.hpp                   |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_sum_bones.hpp                     |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_sum_meat.hpp                      |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_var_bones.hpp                     |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_var_meat.hpp                      |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_vecnorm_bones.hpp                 |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sp_vecnorm_meat.hpp                  |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sqrtmat_meat.hpp                     |   54 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_stddev_bones.hpp                     |   11 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_stddev_meat.hpp                      |   99 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_strans_meat.hpp                      |   36 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_sum_meat.hpp                         |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_symmat_meat.hpp                      |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_toeplitz_meat.hpp                    |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_trimat_meat.hpp                      |   28 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_unique_meat.hpp                      |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_var_meat.hpp                         |   59 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_vecnorm_meat.hpp                     |   28 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_vectorise_meat.hpp                   |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/op_wishrnd_meat.hpp                     |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_cube_div.hpp                   |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_cube_minus.hpp                 |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_cube_plus.hpp                  |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_cube_relational.hpp            |   40 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_cube_schur.hpp                 |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_cube_times.hpp                 |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_div.hpp                        |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_minus.hpp                      |   97 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_ostream.hpp                    |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_plus.hpp                       |   50 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_relational.hpp                 |  270 +
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_schur.hpp                      |   28 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/operator_times.hpp                      |   44 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/podarray_meat.hpp                       |   36 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/restrictors.hpp                         |   15 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/running_stat_meat.hpp                   |   40 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/running_stat_vec_meat.hpp               |   50 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/sp_auxlib_meat.hpp                      |  266 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spdiagview_meat.hpp                     |  102 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_join_meat.hpp                    |   34 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_kron_meat.hpp                    |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_max_meat.hpp                     |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_merge_meat.hpp                   |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_min_meat.hpp                     |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_minus_meat.hpp                   |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_plus_meat.hpp                    |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_relational_meat.hpp              |   24 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_schur_meat.hpp                   |   18 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spglue_times_meat.hpp                   |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_diagmat_meat.hpp                   |   26 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_htrans_meat.hpp                    |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_misc_bones.hpp                     |   11 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_misc_meat.hpp                      |  106 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_norm_meat.hpp                      |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_normalise_meat.hpp                 |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_relational_bones.hpp               |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_relational_meat.hpp                |only
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_repmat_meat.hpp                    |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_reverse_meat.hpp                   |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_shift_meat.hpp                     |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_strans_meat.hpp                    |    6 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_symmat_meat.hpp                    |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_trimat_meat.hpp                    |   22 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spop_vectorise_meat.hpp                 |   10 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/spsolve_factoriser_meat.hpp             |   32 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/strip.hpp                               |   20 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_cube_each_meat.hpp              |   86 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_cube_meat.hpp                   |  198 -
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_cube_slices_meat.hpp            |   80 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_each_meat.hpp                   |  104 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_elem1_meat.hpp                  |  136 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_elem2_meat.hpp                  |  122 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_field_meat.hpp                  |   36 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/subview_meat.hpp                        |  536 +--
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/sym_helper.hpp                          |   16 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/traits.hpp                              |   27 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/trimat_helper.hpp                       |    8 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/unwrap.hpp                              |  499 ++-
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/unwrap_cube.hpp                         |   14 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/unwrap_spmat.hpp                        |   42 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/wall_clock_meat.hpp                     |   12 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/xtrans_mat_meat.hpp                     |    4 
 RcppArmadillo-14.0.0-1/RcppArmadillo/inst/include/armadillo_bits/xvec_htrans_meat.hpp                    |    4 
 435 files changed, 9892 insertions(+), 8570 deletions(-)

More information about RcppArmadillo at CRAN
Permanent link

New package PCAPAM50 with initial version 1.0.0
Package: PCAPAM50
Title: Enhanced 'PAM50' Subtyping of Breast Cancer
Version: 1.0.0
Maintainer: Praveen-Kumar Raj-Kumar <p.rajkumar@wriwindber.org>
Description: Accurate classification of breast cancer tumors based on gene expression data is not a trivial task, and it lacks standard practices.The 'PAM50' classifier, which uses 50 gene centroid correlation distances to classify tumors, faces challenges with balancing estrogen receptor (ER) status and gene centering. The 'PCAPAM50' package leverages principal component analysis and iterative 'PAM50' calls to create a gene expression-based ER-balanced subset for gene centering, avoiding the use of protein expression-based ER data resulting into an enhanced Breast Cancer subtyping.
License: GPL (>= 3)
Copyright: 2024 Windber Research Institute, Windber, PA - 15963. All Rights Reserved.
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
Imports: Biobase, lattice, ComplexHeatmap, impute
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-05 13:26:08 UTC; praveen
Author: Praveen-Kumar Raj-Kumar [aut, cre, cph], Jianfang Liu [aut], Jeffrey A. Hooke [aut], Albert J. Kovatich [aut], Leonid Kvecher [aut], Craig D. Shriver [aut], Hai Hu [aut, cph]
Repository: CRAN
Date/Publication: 2024-07-08 05:30:11 UTC

More information about PCAPAM50 at CRAN
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New package mlr3torch with initial version 0.1.0
Package: mlr3torch
Title: Deep Learning with 'mlr3'
Version: 0.1.0
Description: Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
License: LGPL (>= 3)
Depends: mlr3 (>= 0.20.0), mlr3pipelines (>= 0.6.0), torch (>= 0.13.0), R (>= 3.5.0)
Imports: backports, checkmate (>= 2.2.0), data.table, lgr, methods, mlr3misc (>= 0.14.0), paradox (>= 1.0.0), R6, withr
Suggests: callr, future, ggplot2, igraph, jsonlite, knitr, magick, mlr3tuning (>= 1.0.0), progress, rmarkdown, rpart, viridis, visNetwork, testthat (>= 3.0.0), torchvision (>= 0.6.0), waldo
NeedsCompilation: no
ByteCompile: no
Encoding: UTF-8
Packaged: 2024-07-06 07:40:01 UTC; sebi
Author: Sebastian Fischer [cre, aut] , Bernd Bischl [ctb] , Lukas Burk [ctb] , Martin Binder [aut], Florian Pfisterer [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-08 05:40:02 UTC

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Package dynsurv updated to version 0.4-7 with previous version 0.4-6 dated 2023-11-28

Title: Dynamic Models for Survival Data
Description: Time-varying coefficient models for interval censored and right censored survival data including 1) Bayesian Cox model with time-independent, time-varying or dynamic coefficients for right censored and interval censored data studied by Sinha et al. (1999) <doi:10.1111/j.0006-341X.1999.00585.x> and Wang et al. (2013) <doi:10.1007/s10985-013-9246-8>, 2) Spline based time-varying coefficient Cox model for right censored data proposed by Perperoglou et al. (2006) <doi:10.1016/j.cmpb.2005.11.006>, and 3) Transformation model with time-varying coefficients for right censored data using estimating equations proposed by Peng and Huang (2007) <doi:10.1093/biomet/asm058>.
Author: Wenjie Wang [aut, cre] , Ming-Hui Chen [aut], Xiaojing Wang [aut], Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between dynsurv versions 0.4-6 dated 2023-11-28 and 0.4-7 dated 2024-07-08

 ChangeLog                 |   19 +++++++++++-----
 DESCRIPTION               |    8 +++---
 MD5                       |   54 +++++++++++++++++++++++-----------------------
 R/bayesCox.R              |    2 -
 R/bayesCoxMcmc.R          |    2 -
 R/coef.R                  |    2 -
 R/data.R                  |    2 -
 R/dynsurv-package.R       |    9 ++++---
 R/jump.R                  |    2 -
 R/misc.R                  |    2 -
 R/plot.R                  |    2 -
 R/print.R                 |    2 -
 R/reexports.R             |    2 -
 R/splineCox.R             |    2 -
 R/survCurv.R              |    2 -
 R/tvTran.R                |    2 -
 inst/CITATION             |    4 +--
 man/dynsurv.Rd            |   20 +++++++++++++++++
 src/CoxModel.h            |    2 -
 src/DynamicCoxModel.h     |    2 -
 src/DynamicCoxModel_v2.h  |    2 -
 src/DynamicModel.h        |    2 -
 src/IntRegModel.h         |    2 -
 src/IntRegPrior.h         |   10 ++++----
 src/TimeIndepCoxModel.h   |    2 -
 src/TimeIndepModel.h      |    2 -
 src/TimeVaryingCoxModel.h |    2 -
 src/TimeVaryingModel.h    |    2 -
 28 files changed, 97 insertions(+), 69 deletions(-)

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New package aelab with initial version 0.4.0
Package: aelab
Title: Calculation of Greenhouse Gas Flux
Version: 0.4.0
Maintainer: Zhao-Jun Yong <nuannuan0425@gmail.com>
Description: Facilitate the analysis of data related to ecology, specifically the establishment of carbon budget. Currently, the package allows the below analysis. (i) the calculation of greenhouse gas flux based on data obtained from trace gas analyzer using the method described in Lin et al. (2024). (ii) the calculation of Dissolved Oxygen (DO) metabolism based on data obtained from dissolved oxygen data logger using the method described in Staehr et al. (2010). Lin et al. (2024) <doi:10.1016/j.scitotenv.2024.170768>. Staehr et al. (2024) <doi:10.4319/lom.2010.8.0628>.
Imports: tibble, lubridate, stats, dplyr, openxlsx, readxl, ggplot2, readr, tidyr
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-07-05 15:18:24 UTC; yangshaojun
Author: Zhao-Jun Yong [cre, aut]
Repository: CRAN
Date/Publication: 2024-07-08 05:30:02 UTC

More information about aelab at CRAN
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New package rkriging with initial version 1.0
Package: rkriging
Title: Kriging Modeling
Version: 1.0
Description: An 'Eigen'-based computationally efficient 'C++' implementation for fitting various kriging models to data. This research is supported by U.S. National Science Foundation grant DMS-2310637.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp, nloptr (>= 1.2.0), methods, stats
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.5.0), BH (>= 1.75.0.0), nloptr (>= 1.2.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-07-04 19:08:48 UTC; billhuang
Author: Chaofan Huang [aut, cre], V. Roshan Joseph [aut]
Maintainer: Chaofan Huang <10billhuang01@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-08 05:00:02 UTC

More information about rkriging at CRAN
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New package covtracer with initial version 0.0.1
Package: covtracer
Title: Contextualizing Tests
Version: 0.0.1
Description: Dissects a package environment or 'covr' coverage object in order to cross reference tested code with the lines that are evaluated, as well as linking those evaluated lines to the documentation that they are described within. Connecting these three pieces of information provides a mechanism of linking tests to documented behaviors.
URL: https://github.com/genentech/covtracer
BugReports: https://github.com/genentech/covtracer/issues
Depends: R (>= 3.2.0)
Imports: tools, stats, methods
Suggests: testthat, covr (>= 3.5.2), withr, R6, cli, dplyr, igraph, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-07-04 17:10:53 UTC; root
Author: Doug Kelkhoff [cre, aut] , Szymon Maksymiuk [aut] , Andrew McNeil [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-08 05:00:07 UTC

More information about covtracer at CRAN
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