Mon, 18 Nov 2024

Package galah updated to version 2.1.0 with previous version 2.0.2 dated 2024-04-12

Title: Biodiversity Data from the GBIF Node Network
Description: The Global Biodiversity Information Facility ('GBIF', <https://www.gbif.org>) sources data from an international network of data providers, known as 'nodes'. Several of these nodes - the "living atlases" (<https://living-atlases.gbif.org>) - maintain their own web services using software originally developed by the Atlas of Living Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community to directly access data and resources hosted by 'GBIF' and its partner nodes.
Author: Martin Westgate [aut, cre], Dax Kellie [aut], Matilda Stevenson [aut], Peggy Newman [aut]
Maintainer: Martin Westgate <martin.westgate@csiro.au>

Diff between galah versions 2.0.2 dated 2024-04-12 and 2.1.0 dated 2024-11-18

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Package spotoroo updated to version 0.1.5 with previous version 0.1.4 dated 2023-08-21

Title: Spatiotemporal Clustering of Satellite Hot Spot Data
Description: An algorithm to cluster satellite hot spot data spatially and temporally.
Author: Weihao Li [aut, cre] , Di Cook [ctb] , Emily Dodwell [ctb]
Maintainer: Weihao Li <llreczx@gmail.com>

Diff between spotoroo versions 0.1.4 dated 2023-08-21 and 0.1.5 dated 2024-11-18

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Package sleeperapi updated to version 1.1.2 with previous version 1.1.1 dated 2024-06-01

Title: Wrapper Functions Around 'Sleeper' (Fantasy Sports) API
Description: For those wishing to interact with the 'Sleeper' (Fantasy Sports) API (<https://docs.sleeper.com/>) without looking too much into its documentation (found at <https://docs.sleeper.com/>), this package offers wrapper functions around the available API calls to make it easier.
Author: Nick Bultman [aut, cre, cph]
Maintainer: Nick Bultman <njbultman74@gmail.com>

Diff between sleeperapi versions 1.1.1 dated 2024-06-01 and 1.1.2 dated 2024-11-18

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Package LongDat updated to version 1.1.3 with previous version 1.1.2 dated 2023-07-17

Title: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data
Description: This tool takes longitudinal dataset as input and analyzes if there is significant change of the features over time (a proxy for treatments), while detects and controls for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input, including count, proportion, binary, ordinal and continuous data. The output table contains p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.
Author: Chia-Yu Chen [aut, cre] , Sofia Forslund [ctb]
Maintainer: Chia-Yu Chen <Chia-Yu.Chen@mdc-berlin.de>

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Package hdbcp updated to version 1.0.0 with previous version 0.1.0 dated 2024-11-05

Title: Bayesian Change Point Detection for High-Dimensional Data
Description: Functions implementing change point detection methods using the maximum pairwise Bayes factor approach. Additionally, the package includes tools for generating simulated datasets for comparing and evaluating change point detection techniques.
Author: JaeHoon Kim [aut, cre], KyoungJae Lee [aut, ths]
Maintainer: JaeHoon Kim <jhkimstat@gmail.com>

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Package tidyplate updated to version 2.1.0 with previous version 2.0.1 dated 2024-10-08

Title: Transform Microplate Data into Tibbles
Description: The goal of 'tidyplate' is to help researchers convert different types of microplates into tibbles which can be used in data analysis. It accepts xlsx and csv files formatted in a specific way as input. It supports all types of standard microplate formats such as 6-well, 12-well, 24-well, 48-well, 96-well, 384-well, and, 1536-well plates.
Author: Shubham Dutta [aut, cre, cph]
Maintainer: Shubham Dutta <shubhamdutta26@gmail.com>

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Package RadEro updated to version 1.0.5 with previous version 1.0.4 dated 2024-11-11

Title: Cs-137 Conversion Model
Description: A straightforward model to estimate soil migration rates across various soil contexts. Based on the compartmental, vertically-resolved, physically-based mass balance model of Soto and Navas (2004) <doi:10.1016/j.jaridenv.2004.02.003> and Soto and Navas (2008) <doi:10.1016/j.radmeas.2008.02.024>. 'RadEro' provides a user-friendly interface in R, utilizing input data such as 137Cs inventories and parameters directly derived from soil samples (e.g., fine fraction density, effective volume) to accurately capture the 137Cs distribution within the soil profile. The model simulates annual 137Cs fallout, radioactive decay, and vertical diffusion, with the diffusion coefficient calculated from 137Cs reference inventory profiles. Additionally, it allows users to input custom parameters as calibration coefficients. The RadEro user manual and protocol, including detailed instructions on how to format input data and configuration files, can be found at the following link: <https://gi [...truncated...]
Author: Arturo Catala [aut, cre], Borja Latorre [aut, ctb, cph], Leticia Gaspar [aut], Ana Navas [aut], Dave Gamble [ctb]
Maintainer: Arturo Catala <radero@eead.csic.es>

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Package distfreereg updated to version 1.0.1 with previous version 1.0 dated 2024-11-11

Title: Distribution-Free Goodness-of-Fit Testing for Regression
Description: Implements distribution-free goodness-of-fit regression testing for the mean structure of parametric models introduced in Khmaladze (2021) <doi:10.1007/s10463-021-00786-3>.
Author: Jesse Miller [aut, cre]
Maintainer: Jesse Miller <mill9116@umn.edu>

Diff between distfreereg versions 1.0 dated 2024-11-11 and 1.0.1 dated 2024-11-18

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More information about distfreereg at CRAN
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Package COR updated to version 0.1.0 with previous version 0.0.1 dated 2021-12-06

Title: The COR for Optimal Subset Selection in Distributed Estimation
Description: An algorithm of optimal subset selection, related to Covariance matrices, Observation matrices and Response vectors (COR) to select the optimal subsets in distributed estimation. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.
Author: Guangbao Guo [aut, cre] , Haoyue Song [aut], Lixing Zhu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between COR versions 0.0.1 dated 2021-12-06 and 0.1.0 dated 2024-11-18

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Package APackOfTheClones updated to version 1.2.4 with previous version 1.2.1 dated 2024-10-10

Title: Visualization of Clonal Expansion for Single Cell Immune Profiles
Description: Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles. The method was originally implemented by Murray Christian and Ben Murrell in the following immunology study: Ma et al. (2021) <doi:10.1126/sciimmunol.abg6356>.
Author: Qile Yang [cre, aut, cph]
Maintainer: Qile Yang <qile.yang@berkeley.edu>

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Package DRIP updated to version 2.2 with previous version 2.0 dated 2024-05-12

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

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Package bWGR updated to version 2.2.12 with previous version 2.2.11 dated 2024-10-30

Title: Bayesian Whole-Genome Regression
Description: Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Author: Alencar Xavier [aut, cre] , William Muir [aut], David Habier [aut], Kyle Kocak [aut], Shizhong Xu [aut], Katy Rainey [aut]
Maintainer: Alencar Xavier <alenxav@gmail.com>

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Package gerefer updated to version 0.1.1 with previous version 0.1.0 dated 2024-10-10

Title: Preparer of Main Scientific References for Automatic Insertion in Academic Papers
Description: Generates a file, containing the main scientific references, prepared to be automatically inserted into an academic paper. The articles present in the list are chosen from the main references generated, by function principal_lister(), of the package 'bibliorefer'. The generated file contains the list of metadata of the principal references in 'BibTex' format. Massimo Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>. Caibo Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>. Hamid DerviÅŸ. (2019) <doi:10.5530/jscires.8.3.32>.
Author: Marcio Eustaquio [cre], Marcio Eustaquio [aut]
Maintainer: Marcio Eustaquio <marcioeustaquio@id.uff.br>

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Package simtrial updated to version 0.4.2 with previous version 0.4.1 dated 2024-05-03

Title: Clinical Trial Simulation
Description: Provides some basic routines for simulating a clinical trial. The primary intent is to provide some tools to generate trial simulations for trials with time to event outcomes. Piecewise exponential failure rates and piecewise constant enrollment rates are the underlying mechanism used to simulate a broad range of scenarios such as those presented in Lin et al. (2020) <doi:10.1080/19466315.2019.1697738>. However, the basic generation of data is done using pipes to allow maximum flexibility for users to meet different needs.
Author: Keaven Anderson [aut], Yujie Zhao [ctb, cre], John Blischak [ctb], Nan Xiao [ctb], Yilong Zhang [aut], Jianxiao Yang [ctb], Lili Ling [ctb], Xintong Li [ctb], Ruixue Wang [ctb], Yi Cui [ctb], Ping Yang [ctb], Yalin Zhu [ctb], Heng Zhou [ctb], Amin Sh [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package mlt updated to version 1.6-1 with previous version 1.6-0 dated 2024-09-23

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <DOI:10.1111/sjos.12501>) transformation models are part of this package. A package vignette is available from <DOI:10.32614/CRAN.package.mlt.docreg> and more convenient user interfaces to many models from <DOI:10.32614/CRAN.package.tram>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package lori updated to version 2.2.3 with previous version 2.2.2 dated 2020-12-16

Title: Imputation of High-Dimensional Count Data using Side Information
Description: Analysis, imputation, and multiple imputation of count data using covariates. LORI uses a log-linear Poisson model where main row and column effects, as well as effects of known covariates and interaction terms can be fitted. The estimation procedure is based on the convex optimization of the Poisson loss penalized by a Lasso type penalty and a nuclear norm. LORI returns estimates of main effects, covariate effects and interactions, as well as an imputed count table. The package also contains a multiple imputation procedure. The methods are described in Robin, Josse, Moulines and Sardy (2019) <doi:10.1016/j.jmva.2019.04.004>.
Author: Genevieve Robin [aut, cre]
Maintainer: Genevieve Robin <genevieve.robin@cnrs.fr>

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Package jagstargets updated to version 1.2.2 with previous version 1.2.1 dated 2024-09-06

Title: Targets for JAGS Pipelines
Description: Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'jagstargets' R package is leverages 'targets' and 'R2jags' to ease this burden. 'jagstargets' makes it super easy to set up scalable JAGS pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. For the underlying methodology, please refer to the documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS' (Plummer 2003) <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>.
Author: William Michael Landau [aut, cre] , David Lawrence Miller [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package graphlayouts updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-24

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between graphlayouts versions 1.2.0 dated 2024-09-24 and 1.2.1 dated 2024-11-18

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 graphlayouts-1.2.1/graphlayouts/R/layout_backbone.R         |    6 ++-
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More information about graphlayouts at CRAN
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Package BalancedSampling updated to version 2.1.1 with previous version 2.0.6 dated 2024-03-01

Title: Balanced and Spatially Balanced Sampling
Description: Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.
Author: Anton Grafstroem [aut, cre] , Wilmer Prentius [aut] , Jonathan Lisic [ctb]
Maintainer: Anton Grafstroem <anton.grafstrom@gmail.com>

Diff between BalancedSampling versions 2.0.6 dated 2024-03-01 and 2.1.1 dated 2024-11-18

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 MD5                     |   12 ++++++------
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 src/CubeClass.cc        |    2 +-
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 src/IndexListClass.h    |    2 +-
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 7 files changed, 33 insertions(+), 32 deletions(-)

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New package tsmarch with initial version 1.0.0
Package: tsmarch
Title: Multivariate ARCH Models
Description: Feasible Multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models including Dynamic Conditional Correlation (DCC), Copula GARCH and Generalized Orthogonal GARCH with Generalized Hyperbolic distribution. A review of some of these models can be found in Boudt, Galanos, Payseur and Zivot (2019) <doi:10.1016/bs.host.2019.01.001>.
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Depends: R (>= 3.5.0), methods, tsmethods (>= 1.0.2)
LinkingTo: Rcpp (>= 0.10.6), RcppArmadillo, RcppParallel, RcppBessel
SystemRequirements: GNU make
Imports: Rcpp, RcppParallel, tsgarch (>= 1.0.3), tsdistributions (>= 1.0.2), RcppBessel, Rsolnp, nloptr, numDeriv, abind, shape, Rdpack, xts, zoo, lubridate, sandwich, future.apply, future, stats, utils, data.table
License: GPL-2
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/tsmodels/tsmarch/issues
ByteCompile: true
URL: https://github.com/tsmodels/tsmarch, https://www.nopredict.com
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tstests
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-11-15 10:33:37 UTC; alexios
Author: Alexios Galanos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-11-18 13:30:02 UTC

More information about tsmarch at CRAN
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Package Jaya updated to version 1.0.3 with previous version 0.1.9 dated 2019-11-12

Title: Gradient-Free Optimization Algorithm for Single and Multi-Objective Problems
Description: An implementation of the Jaya optimization algorithm for both single-objective and multi-objective problems. Jaya is a population-based, gradient-free optimization algorithm capable of solving constrained and unconstrained optimization problems without hyperparameters. This package includes features such as multi-objective Pareto optimization, adaptive population adjustment, and early stopping. For further details, see R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004>.
Author: Neeraj Bokde [aut, cre]
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>

Diff between Jaya versions 0.1.9 dated 2019-11-12 and 1.0.3 dated 2024-11-18

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More information about Jaya at CRAN
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Package enderecobr updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-28

Title: Padronizador de Endereços Brasileiros (Brazilian Addresses Standardizer)
Description: Padroniza endereços brasileiros a partir de diferentes critérios. Os métodos de padronização incluem apenas manipulações básicas de strings, não oferecendo suporte a correspondências probabilísticas entre strings. (Standardizes brazilian addresses using different criteria. Standardization methods include only basic string manipulation, not supporting probabilistic matches between strings.)
Author: Daniel Herszenhut [aut, cre] , Rafael H. M. Pereira [aut] , Lucas Mation [aut]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

Diff between enderecobr versions 0.2.0 dated 2024-10-28 and 0.2.1 dated 2024-11-18

 DESCRIPTION       |   13 ++++++++-----
 MD5               |    6 +++---
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 4 files changed, 18 insertions(+), 8 deletions(-)

More information about enderecobr at CRAN
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New package effectplots with initial version 0.1.0
Package: effectplots
Title: Effect Plots
Version: 0.1.0
Description: High-performance implementation of various effect plots useful for regression and probabilistic classification tasks. The package includes partial dependence plots (Friedman, 2021, <doi:10.1214/aos/1013203451>), accumulated local effect plots and M-plots (both from Apley and Zhu, 2016, <doi:10.1111/rssb.12377>), as well as plots that describe the statistical associations between model response and features. It supports visualizations with either 'ggplot2' or 'plotly', and is compatible with most models, including 'Tidymodels', models wrapped in 'DALEX' explainers, or models with case weights.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: collapse, ggplot2, grDevices, patchwork, plotly, Rcpp, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/mayer79/effectplots
BugReports: https://github.com/mayer79/effectplots/issues
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2024-11-15 11:30:14 UTC; mayer
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-18 13:50:04 UTC

More information about effectplots at CRAN
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New package CareDensity with initial version 0.1.0
Package: CareDensity
Title: Calculate the Care Density or Fragmented Care Density Given a Patient-Sharing Network
Version: 0.1.0
Maintainer: Robin Denz <robin.denz@rub.de>
Description: Given a patient-sharing network, calculate either the classic care density as proposed by Pollack et al. (2013) <doi:10.1007/s11606-012-2104-7> or the fragmented care density as proposed by Engels et al. (2024) <doi:10.1186/s12874-023-02106-0>. By utilizing the 'igraph' and 'data.table' packages, the provided functions scale well for very large graphs.
License: GPL (>= 3)
URL: https://github.com/RobinDenz1/CareDensity, https://robindenz1.github.io/CareDensity/
BugReports: https://github.com/RobinDenz1/CareDensity/issues
Depends: MatrixExtra
Imports: data.table, igraph (>= 2.0.0), utils
Suggests: knitr, rmarkdown, testthat (>= 3.2.1), covr
VignetteBuilder: knitr
Contact: <robin.denz@rub.de>
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-11-15 12:09:25 UTC; Robin Denz
Author: Robin Denz [aut, cre]
Repository: CRAN
Date/Publication: 2024-11-18 13:50:11 UTC

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New package bfboinet with initial version 0.1.0
Package: bfboinet
Title: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity
Version: 0.1.0
Description: The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation cohort to explore a higher dose. The advantages compared to the other designs in terms of the percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the duration of the trial, in various realistic setting.
License: GPL-3
Encoding: UTF-8
Imports: Iso, copula, dplyr, tidyselect, magrittr
NeedsCompilation: no
Packaged: 2024-11-15 08:59:14 UTC; A4021579
Author: Jing Zhu [cre, aut], Kentaro Takeda [aut]
Maintainer: Jing Zhu <zhujing716@gmail.com>
Repository: CRAN
Date/Publication: 2024-11-18 13:30:09 UTC

More information about bfboinet at CRAN
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Package wrProteo updated to version 1.13.0 with previous version 1.12.0 dated 2024-07-26

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et a [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrProteo versions 1.12.0 dated 2024-07-26 and 1.13.0 dated 2024-11-18

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More information about wrProteo at CRAN
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Package tinytable updated to version 0.6.1 with previous version 0.5.0 dated 2024-10-05

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between tinytable versions 0.5.0 dated 2024-10-05 and 0.6.1 dated 2024-11-18

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More information about tinytable at CRAN
Permanent link

Package pkgdepR updated to version 1.1.0 with previous version 1.0.0 dated 2022-02-16

Title: Statically Determine Function Dependencies Between Packages
Description: Statically determine and visualize the function dependencies within and across packages. This may be useful for managing function dependencies across a code base of multiple R packages.
Author: Ed Peyton [aut, cre]
Maintainer: Ed Peyton <edppeyton@gmail.com>

Diff between pkgdepR versions 1.0.0 dated 2022-02-16 and 1.1.0 dated 2024-11-18

 DESCRIPTION              |   10 +++----
 LICENSE                  |    4 +-
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 NEWS.md                  |    6 +++-
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 man/summary.pkgdepR.Rd   |   38 +++++++++++++--------------
 20 files changed, 303 insertions(+), 264 deletions(-)

More information about pkgdepR at CRAN
Permanent link

Package Luminescence updated to version 0.9.26 with previous version 0.9.25 dated 2024-09-12

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 0.9.25 dated 2024-09-12 and 0.9.26 dated 2024-11-18

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Package atime updated to version 2024.11.15 with previous version 2024.10.5 dated 2024-10-11

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.10.5 dated 2024-10-11 and 2024.11.15 dated 2024-11-18

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Package tm updated to version 0.7-15 with previous version 0.7-14 dated 2024-08-13

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut] , Kurt Hornik [aut, cre] , Artifex Software, Inc. [ctb, cph]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tm versions 0.7-14 dated 2024-08-13 and 0.7-15 dated 2024-11-18

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Package saeMSPE updated to version 1.3 with previous version 1.2 dated 2022-10-21

Title: Computing MSPE Estimates in Small Area Estimation
Description: Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.
Author: Peiwen Xiao [aut, cre], Xiaohui Liu [aut], Yu Zhang [aut], Yuzi Liu [aut], Jiming Jiang [ths]
Maintainer: Peiwen Xiao <2569613200@qq.com>

Diff between saeMSPE versions 1.2 dated 2022-10-21 and 1.3 dated 2024-11-18

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Package osmapiR updated to version 0.2.2 with previous version 0.2.1 dated 2024-09-05

Title: 'OpenStreetMap' API
Description: Interface to 'OpenStreetMap API' for fetching and saving data from/to the 'OpenStreetMap' database (<https://wiki.openstreetmap.org/wiki/API_v0.6>).
Author: Joan Maspons [aut, cre, cph] , Jon Harmon [rev] , Carlos Camara [rev]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

Diff between osmapiR versions 0.2.1 dated 2024-09-05 and 0.2.2 dated 2024-11-18

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 osmapiR-0.2.2/osmapiR/R/osm_get_gpx_metadata.R                                                   |   16 
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 osmapiR-0.2.2/osmapiR/R/osmapi_map_notes.R                                                       |   84 +-
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 osmapiR-0.2.2/osmapiR/inst/doc/how_to_edit_osm.html                                              |    4 
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 osmapiR-0.2.2/osmapiR/man/osm_get_gpx_metadata.Rd                                                |   16 
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 osmapiR-0.2.2/osmapiR/man/osm_history_object.Rd                                                  |    2 
 osmapiR-0.2.2/osmapiR/man/osm_list_gpxs.Rd                                                       |   20 
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Package spatstat.geom updated to version 3.3-4 with previous version 3.3-3 dated 2024-09-18

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 3.3-3 dated 2024-09-18 and 3.3-4 dated 2024-11-18

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Package Rmpfr updated to version 1.0-0 with previous version 0.9-5 dated 2024-01-21

Title: Interface R to MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] , Richard M. Heiberger [ctb] , *Bin, *Dec), John C. Nash [ctb] , origin of unirootR), Hans W. Borchers [ctb] ; origin of hjkMpfr), Mikael Jagan [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between Rmpfr versions 0.9-5 dated 2024-01-21 and 1.0-0 dated 2024-11-18

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Package pct (with last version 0.9.9) was removed from CRAN

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

2023-05-19 0.9.9
2023-02-15 0.9.8
2022-12-06 0.9.7

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Package pmlbr (with last version 0.2.2) was removed from CRAN

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

2024-11-04 0.2.2
2023-09-28 0.2.1
2020-10-02 0.2.0

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Package SIPmg (with last version 1.4.1) was removed from CRAN

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

2023-02-21 1.4.1
2023-01-16 1.4

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Package dhis2r (with last version 0.2.1) was removed from CRAN

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

2024-11-04 0.2.1
2024-10-29 0.2.0

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Package HTSSIP (with last version 1.4.1) was removed from CRAN

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

2019-09-13 1.4.1
2018-05-15 1.4.0
2018-01-25 1.3.2
2018-01-11 1.3.1
2017-10-25 1.3.0
2017-07-24 1.2.0
2017-05-23 1.1.1
2016-11-01 1.0.3

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Package RMariaDB updated to version 1.3.3 with previous version 1.3.2 dated 2024-05-27

Title: Database Interface and MariaDB Driver
Description: Implements a DBI-compliant interface to MariaDB (<https://mariadb.org/>) and MySQL (<https://www.mysql.com/>) databases.
Author: Kirill Mueller [aut, cre] , Jeroen Ooms [aut] , David James [aut], Saikat DebRoy [aut], Hadley Wickham [aut], Jeffrey Horner [aut], R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RMariaDB versions 1.3.2 dated 2024-05-27 and 1.3.3 dated 2024-11-18

 DESCRIPTION                                                  |    8 ++---
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Package RcppArmadillo updated to version 14.2.0-1 with previous version 14.0.2-1 dated 2024-09-12

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 [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 14.0.2-1 dated 2024-09-12 and 14.2.0-1 dated 2024-11-18

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 inst/include/armadillo_bits/Gen_bones.hpp               |    3 
 inst/include/armadillo_bits/Glue_bones.hpp              |    3 
 inst/include/armadillo_bits/Glue_meat.hpp               |   13 
 inst/include/armadillo_bits/Mat_bones.hpp               |   11 
 inst/include/armadillo_bits/Mat_meat.hpp                |   13 
 inst/include/armadillo_bits/Op_bones.hpp                |    3 
 inst/include/armadillo_bits/Op_meat.hpp                 |   13 
 inst/include/armadillo_bits/Proxy.hpp                   |   16 
 inst/include/armadillo_bits/SpBase_bones.hpp            |    8 
 inst/include/armadillo_bits/SpToDGlue_bones.hpp         |    3 
 inst/include/armadillo_bits/SpToDOp_bones.hpp           |    3 
 inst/include/armadillo_bits/arma_forward.hpp            |    2 
 inst/include/armadillo_bits/arma_version.hpp            |    6 
 inst/include/armadillo_bits/auxlib_bones.hpp            |   36 
 inst/include/armadillo_bits/auxlib_meat.hpp             |  777 ++++++++++++++--
 inst/include/armadillo_bits/compiler_check.hpp          |    6 
 inst/include/armadillo_bits/compiler_setup.hpp          |    8 
 inst/include/armadillo_bits/config.hpp                  |   25 
 inst/include/armadillo_bits/def_lapack.hpp              |  112 ++
 inst/include/armadillo_bits/diagview_bones.hpp          |    3 
 inst/include/armadillo_bits/diagview_meat.hpp           |   53 -
 inst/include/armadillo_bits/eGlue_bones.hpp             |    3 
 inst/include/armadillo_bits/eGlue_meat.hpp              |   11 
 inst/include/armadillo_bits/eOp_bones.hpp               |    3 
 inst/include/armadillo_bits/eOp_meat.hpp                |   13 
 inst/include/armadillo_bits/fn_misc.hpp                 |   90 +
 inst/include/armadillo_bits/fn_powext.hpp               |   16 
 inst/include/armadillo_bits/glue_solve_bones.hpp        |    3 
 inst/include/armadillo_bits/glue_solve_meat.hpp         |   93 +
 inst/include/armadillo_bits/glue_times_meat.hpp         |   14 
 inst/include/armadillo_bits/gmm_diag_meat.hpp           |    4 
 inst/include/armadillo_bits/gmm_full_meat.hpp           |    4 
 inst/include/armadillo_bits/mtGlue_bones.hpp            |    3 
 inst/include/armadillo_bits/mtGlue_meat.hpp             |   13 
 inst/include/armadillo_bits/mtOp_bones.hpp              |    5 
 inst/include/armadillo_bits/mtOp_meat.hpp               |   13 
 inst/include/armadillo_bits/op_cond_meat.hpp            |   11 
 inst/include/armadillo_bits/op_expmat_meat.hpp          |   18 
 inst/include/armadillo_bits/op_inv_gen_meat.hpp         |   48 
 inst/include/armadillo_bits/op_inv_spd_meat.hpp         |    8 
 inst/include/armadillo_bits/op_log_det_meat.hpp         |    2 
 inst/include/armadillo_bits/op_logmat_meat.hpp          |    6 
 inst/include/armadillo_bits/op_pinv_meat.hpp            |   12 
 inst/include/armadillo_bits/op_powmat_meat.hpp          |   43 
 inst/include/armadillo_bits/op_rank_meat.hpp            |   12 
 inst/include/armadillo_bits/op_rcond_meat.hpp           |   25 
 inst/include/armadillo_bits/op_sqrtmat_meat.hpp         |    6 
 inst/include/armadillo_bits/operator_minus.hpp          |  102 --
 inst/include/armadillo_bits/operator_plus.hpp           |  103 --
 inst/include/armadillo_bits/subview_bones.hpp           |    7 
 inst/include/armadillo_bits/subview_cube_each_bones.hpp |    3 
 inst/include/armadillo_bits/subview_each_bones.hpp      |    3 
 inst/include/armadillo_bits/subview_elem1_bones.hpp     |    3 
 inst/include/armadillo_bits/subview_elem1_meat.hpp      |   82 -
 inst/include/armadillo_bits/subview_elem2_bones.hpp     |    3 
 inst/include/armadillo_bits/subview_elem2_meat.hpp      |   13 
 inst/include/armadillo_bits/subview_meat.hpp            |   13 
 inst/include/armadillo_bits/sym_helper.hpp              |  148 +--
 inst/include/armadillo_bits/traits.hpp                  |   24 
 inst/include/armadillo_bits/translate_lapack.hpp        |  144 ++
 inst/include/armadillo_bits/typedef_elem.hpp            |    5 
 inst/include/armadillo_bits/unwrap.hpp                  |   12 
 inst/tinytest/test_rng.R                                |    3 
 77 files changed, 1764 insertions(+), 776 deletions(-)

More information about RcppArmadillo at CRAN
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Package spheredata updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-12

Title: Students' Performance Dataset in Physics Education Research (SPHERE)
Description: A multidimensional dataset of students' performance assessment in high school physics. The SPHERE dataset was collected from 497 students in four public high schools specifically measuring their conceptual understanding, scientific ability, and attitude toward physics [see Santoso et al. (2024) <doi:10.17632/88d7m2fv7p.1>]. The data collection was conducted using some research based assessments established by the physics education research community. They include the Force Concept Inventory, the Force and Motion Conceptual Evaluation, the Rotational and Rolling Motion Conceptual Survey, the Fluid Mechanics Concept Inventory, the Mechanical Waves Conceptual Survey, the Thermal Concept Evaluation, the Survey of Thermodynamic Processes and First and Second Laws, the Scientific Abilities Assessment Rubrics, and the Colorado Learning Attitudes about Science Survey. Students' attributes related to gender, age, socioeconomic status, domicile, literacy, physics identity, and test results [...truncated...]
Author: Purwoko Haryadi Santoso [aut, cre] , Edi Istiyono [ctb], Haryanto Haryanto [ctb]
Maintainer: Purwoko Haryadi Santoso <purwokoharyadisantoso@unsulbar.ac.id>

Diff between spheredata versions 0.1.1 dated 2024-10-12 and 0.1.2 dated 2024-11-18

 DESCRIPTION                     |    6 +-
 MD5                             |   72 ++++++++++++++++++---------
 NAMESPACE                       |    3 +
 R/aikenV.R                      |only
 R/binary.R                      |    9 +--
 R/lawsheCVR.R                   |only
 data/CLASScontentvalidity.rda   |only
 data/FCIcontentvalidity.rda     |only
 data/FMCEcontentvalidity.rda    |only
 data/FMCIcontentvalidity.rda    |only
 data/MWCScontentvalidity.rda    |only
 data/RRMCScontentvalidity.rda   |only
 data/SAAR.rda                   |binary
 data/SAARcontentvalidity.rda    |only
 data/STPFASLcontentvalidity.rda |only
 data/TCEcontentvalidity.rda     |only
 man/CLASS.Rd                    |   83 ++++++++++++++++----------------
 man/CLASScontentvalidity.Rd     |only
 man/FCI.Rd                      |   69 +++++++++++++-------------
 man/FCIcontentvalidity.Rd       |only
 man/FCIkey.Rd                   |   15 ++---
 man/FMCE.Rd                     |  103 ++++++++++++++++++++--------------------
 man/FMCEcontentvalidity.Rd      |only
 man/FMCEkey.Rd                  |   15 ++---
 man/FMCI.Rd                     |   71 ++++++++++++++-------------
 man/FMCIcontentvalidity.Rd      |only
 man/FMCIkey.Rd                  |   13 +----
 man/MWCS.Rd                     |   53 ++++++++++----------
 man/MWCScontentvalidity.Rd      |only
 man/MWCSkey.Rd                  |   13 +----
 man/RRMCS.Rd                    |   69 +++++++++++++-------------
 man/RRMCScontentvalidity.Rd     |only
 man/RRMCSkey.Rd                 |   15 ++---
 man/SAAR.Rd                     |   41 ++++++++-------
 man/SAARcontentvalidity.Rd      |only
 man/STPFASL.Rd                  |   75 +++++++++++++++--------------
 man/STPFASLcontentvalidity.Rd   |only
 man/STPFASLkey.Rd               |   15 ++---
 man/TCE.Rd                      |   67 ++++++++++++--------------
 man/TCEcontentvalidity.Rd       |only
 man/TCEkey.Rd                   |   15 ++---
 man/aikenV.Rd                   |only
 man/binary.Rd                   |    5 +
 man/demographic.Rd              |   11 ++--
 man/lawsheCVR.Rd                |only
 man/literacy.Rd                 |    7 +-
 man/physicsidentity.Rd          |    7 +-
 man/teachersjudgment.Rd         |    7 +-
 48 files changed, 448 insertions(+), 411 deletions(-)

More information about spheredata at CRAN
Permanent link


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