Wed, 31 Jan 2024

Package ggfittext updated to version 0.10.2 with previous version 0.10.1 dated 2023-09-05

Title: Fit Text Inside a Box in 'ggplot2'
Description: A 'ggplot2' extension to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre], Brady Johnston [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package ppmlasso updated to version 1.4 with previous version 1.3 dated 2022-12-01

Title: Point Process Models with LASSO-Type Penalties
Description: Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.
Author: Ian Renner
Maintainer: Ian Renner <Ian.Renner@newcastle.edu.au>

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Package ProbSamplingI updated to version 2.0 with previous version 0.1.0 dated 2021-03-09

Title: Probabilistic Sampling Design and Strategies
Description: It allows the user to determine sample sizes, select probabilistic samples, make estimates of different parameters for the total finite population and in studio domains, using the main design drawings.
Author: Jorge Baron [aut, cre, cph], Guillermo Martinez [aut]
Maintainer: Jorge Baron <jorgeabaron@correo.unicordoba.edu.co>

Diff between ProbSamplingI versions 0.1.0 dated 2021-03-09 and 2.0 dated 2024-01-31

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Package HH updated to version 3.1-51 with previous version 3.1-49 dated 2022-08-09

Title: Statistical Analysis and Data Display: Heiberger and Holland
Description: Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
Author: Richard M. Heiberger
Maintainer: Richard M. Heiberger <rmh@temple.edu>

Diff between HH versions 3.1-49 dated 2022-08-09 and 3.1-51 dated 2024-01-31

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Package greeks updated to version 1.3.2 with previous version 1.3.1 dated 2023-11-02

Title: Sensitivities of Prices of Financial Options and Implied Volatilities
Description: Methods to calculate sensitivities of financial option prices for European, geometric and arithmetic Asian, and American options, with various payoff functions in the Black Scholes model, and in more general jump diffusion models. A shiny app to interactively plot the results is included. Furthermore, methods to compute implied volatilities are provided for a wide range of option types and custom payoff functions. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017), Options, Futures, and Other Derivatives. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2023). European and Asian Greeks for exponential Lévy processes. <doi:10.1007/s11009-023-10014-5>. For American options, the Binomial Tree Method is implemented, as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre]
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

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Package rsconnect updated to version 1.2.1 with previous version 1.2.0 dated 2023-12-14

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

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Package ridigbio updated to version 0.3.8 with previous version 0.3.7 dated 2023-10-06

Title: Interface to the iDigBio Data API
Description: An interface to iDigBio's search API that allows downloading specimen records. Searches are returned as a data.frame. Other functions such as the metadata end points return lists of information. iDigBio is a US project focused on digitizing and serving museum specimen collections on the web. See <https://www.idigbio.org> for information on iDigBio.
Author: Francois Michonneau [aut, cph] , Matthew Collins [aut] , Scott Chamberlain [ctb], Kevin Love [ctb], Hem Nalini Morzaria-Luna [ctb], Michelle L. Gaynor [ctb], Jesse Bennett [cre]
Maintainer: Jesse Bennett <j3553@ufl.edu>

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Package orgutils updated to version 0.5-0 with previous version 0.4-1 dated 2017-03-21

Title: Helper Functions for Org Files
Description: Helper functions for Org files (<https://orgmode.org/>): a generic function 'toOrg' for transforming R objects into Org markup (most useful for data frames; there are also methods for Dates/POSIXt) and a function to read Org tables into data frames.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package nlmixr2data updated to version 2.0.9 with previous version 2.0.8 dated 2023-08-30

Title: Nonlinear Mixed Effects Models in Population PK/PD, Data
Description: Datasets for 'nlmixr2' and 'rxode2'. 'nlmixr2' is used for fitting and comparing nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Rik Schoemaker [ctb] , Kyle Baron [ctb], Thierry Wendling [ctb], Ted Grasella [ctb], C Weil [ctb], Yaning Wang [ctb], R O'Reilly [ctb], David D'Argenio [ctb], Rodriguez-Vera [ctb], D Gaver [ctb], Yuan Xiong [ctb], Wenping [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package gimme updated to version 0.7-16 with previous version 0.7-15 dated 2023-08-29

Title: Group Iterative Multiple Model Estimation
Description: Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.
Author: Stephanie Lane [aut, trl], Kathleen Gates [aut, cre, ccp], Zachary Fisher [aut], Cara Arizmendi [aut], Peter Molenaar [aut, ccp], Edgar Merkle [ctb], Michael Hallquist [ctb], Hallie Pike [ctb], Teague Henry [ctb], Kelly Duffy [ctb], Lan Luo [ctb], Ad [...truncated...]
Maintainer: Kathleen M Gates <gateskm@email.unc.edu>

Diff between gimme versions 0.7-15 dated 2023-08-29 and 0.7-16 dated 2024-01-31

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New package TFRE with initial version 0.1.0
Package: TFRE
Title: A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression
Version: 0.1.0
Description: Provide functions to estimate the coefficients in high-dimensional linear regressions via a tuning-free and robust approach. The method was published in Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "A Tuning-free Robust and Efficient Approach to High-dimensional Regression", Journal of the American Statistical Association, 115:532, 1700-1714(JASA’s discussion paper), <doi:10.1080/01621459.2020.1840989>. See also Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "Rejoinder to “A tuning-free robust and efficient approach to high-dimensional regression". Journal of the American Statistical Association, 115, 1726-1729, <doi:10.1080/01621459.2020.1843865>; Peng, B. and Wang, L. (2015), "An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression", Journal of Computational and Graphical Statistics, 24:3, 676-694, <doi:10.1080/10618600.2014.913516>; Clémençon, S., Colin, I., and Bellet, A. (2016), "Scaling-up em [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.9),RcppParallel
LinkingTo: Rcpp,RcppEigen,RcppParallel
NeedsCompilation: yes
Packaged: 2024-01-29 18:32:42 UTC; WindyWu
Author: Yunan Wu [aut, cre, cph], Lan Wang [aut]
Maintainer: Yunan Wu <yunan.wu@utdallas.edu>
Repository: CRAN
Date/Publication: 2024-01-31 19:50:05 UTC

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Package tensorflow updated to version 2.15.0 with previous version 2.14.0 dated 2023-09-28

Title: R Interface to 'TensorFlow'
Description: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Author: JJ Allaire [aut, cph], Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], Dirk Eddelbuettel [ctb, cph], Yuan Tang [aut, cph] , Nick Golding [ctb, cph], Google Inc. [ctb, cph] , Posit, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@posit.co>

Diff between tensorflow versions 2.14.0 dated 2023-09-28 and 2.15.0 dated 2024-01-31

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Package nimble updated to version 1.1.0 with previous version 1.0.1 dated 2023-06-15

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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 nimble-1.1.0/nimble/LICENSE                                                                      |    4 
 nimble-1.1.0/nimble/MD5                                                                          |  754 -
 nimble-1.1.0/nimble/NAMESPACE                                                                    |    6 
 nimble-1.1.0/nimble/R/BNP_distributions.R                                                        |    6 
 nimble-1.1.0/nimble/R/BNP_samplers.R                                                             |    2 
 nimble-1.1.0/nimble/R/BUGS_BUGSdecl.R                                                            |   17 
 nimble-1.1.0/nimble/R/BUGS_contexts.R                                                            |    2 
 nimble-1.1.0/nimble/R/BUGS_macros.R                                                              |  555 +
 nimble-1.1.0/nimble/R/BUGS_model.R                                                               |   31 
 nimble-1.1.0/nimble/R/BUGS_modelDef.R                                                            |  259 
 nimble-1.1.0/nimble/R/BUGS_readBUGS.R                                                            |   21 
 nimble-1.1.0/nimble/R/CAR.R                                                                      |  124 
 nimble-1.1.0/nimble/R/Laplace.R                                                                  |   55 
 nimble-1.1.0/nimble/R/MCEM_build.R                                                               |   18 
 nimble-1.1.0/nimble/R/MCMC_build.R                                                               |   44 
 nimble-1.1.0/nimble/R/MCMC_configuration.R                                                       |  182 
 nimble-1.1.0/nimble/R/MCMC_conjugacy.R                                                           |   47 
 nimble-1.1.0/nimble/R/MCMC_samplers.R                                                            |  438 
 nimble-1.1.0/nimble/R/MCMC_utils.R                                                               |    6 
 nimble-1.1.0/nimble/R/NF_utils.R                                                                 |   10 
 nimble-1.1.0/nimble/R/RCfunction_compile.R                                                       |   14 
 nimble-1.1.0/nimble/R/RCfunction_core.R                                                          |   11 
 nimble-1.1.0/nimble/R/all_utils.R                                                                |    5 
 nimble-1.1.0/nimble/R/cppDefs_RCfunction.R                                                       |    1 
 nimble-1.1.0/nimble/R/cppDefs_core.R                                                             |   26 
 nimble-1.1.0/nimble/R/cppDefs_cppProject.R                                                       |   26 
 nimble-1.1.0/nimble/R/cppDefs_nimbleFunction.R                                                   |  283 
 nimble-1.1.0/nimble/R/cppInterfaces_otherTypes.R                                                 |    8 
 nimble-1.1.0/nimble/R/crossValidation.R                                                          |   16 
 nimble-1.1.0/nimble/R/distributions_implementations.R                                            |    2 
 nimble-1.1.0/nimble/R/distributions_processInputList.R                                           |   61 
 nimble-1.1.0/nimble/R/genCpp_eigenization.R                                                      |   20 
 nimble-1.1.0/nimble/R/genCpp_generateCpp.R                                                       |    9 
 nimble-1.1.0/nimble/R/genCpp_operatorLists.R                                                     |    9 
 nimble-1.1.0/nimble/R/genCpp_processSpecificCalls.R                                              |   11 
 nimble-1.1.0/nimble/R/genCpp_sizeProcessing.R                                                    |  407 
 nimble-1.1.0/nimble/R/genCpp_toEigenize.R                                                        |   11 
 nimble-1.1.0/nimble/R/nimble-package.r                                                           |   24 
 nimble-1.1.0/nimble/R/nimbleFunction_Rderivs.R                                                   |    2 
 nimble-1.1.0/nimble/R/nimbleFunction_Rexecution.R                                                |  107 
 nimble-1.1.0/nimble/R/nimbleFunction_compile.R                                                   |   18 
 nimble-1.1.0/nimble/R/nimbleFunction_core.R                                                      |   14 
 nimble-1.1.0/nimble/R/nimbleFunction_keywordProcessing.R                                         |   36 
 nimble-1.1.0/nimble/R/nimbleFunction_nodeFunctionNew.R                                           |   30 
 nimble-1.1.0/nimble/R/nimbleList_core.R                                                          |   61 
 nimble-1.1.0/nimble/R/nimbleProject.R                                                            |   22 
 nimble-1.1.0/nimble/R/options.R                                                                  |   18 
 nimble-1.1.0/nimble/R/parameterTransform.R                                                       |   10 
 nimble-1.1.0/nimble/inst/COPYRIGHTS                                                              |  147 
 nimble-1.1.0/nimble/inst/CppCode/GNUmakefile                                                     |    2 
 nimble-1.1.0/nimble/inst/CppCode/RcppUtils.cpp                                                   |    4 
 nimble-1.1.0/nimble/inst/CppCode/Utils.cpp                                                       |   56 
 nimble-1.1.0/nimble/inst/CppCode/dists.cpp                                                       |  155 
 nimble-1.1.0/nimble/inst/CppCode/eigenUsingClasses.cpp                                           |    8 
 nimble-1.1.0/nimble/inst/CppCode/nimDerivs_atomic_classes.cpp                                    |   30 
 nimble-1.1.0/nimble/inst/CppCode/nimDerivs_atomic_dyn_ind.cpp                                    |only
 nimble-1.1.0/nimble/inst/CppCode/nimDists.cpp                                                    |   28 
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 nimble-1.1.0/nimble/inst/CppCode/nimbleCppAD.cpp                                                 |    2 
 nimble-1.1.0/nimble/inst/NEWS.md                                                                 |  142 
 nimble-1.1.0/nimble/inst/include/Eigen/Cholesky                                                  |    1 
 nimble-1.1.0/nimble/inst/include/Eigen/Core                                                      |  382 
 nimble-1.1.0/nimble/inst/include/Eigen/Eigenvalues                                               |    5 
 nimble-1.1.0/nimble/inst/include/Eigen/Geometry                                                  |   12 
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 nimble-1.1.0/nimble/inst/include/Eigen/Jacobi                                                    |    1 
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 nimble-1.1.0/nimble/inst/include/Eigen/QR                                                        |    5 
 nimble-1.1.0/nimble/inst/include/Eigen/QtAlignedMalloc                                           |    1 
 nimble-1.1.0/nimble/inst/include/Eigen/SVD                                                       |    1 
 nimble-1.1.0/nimble/inst/include/Eigen/Sparse                                                    |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/SparseCholesky                                            |    8 
 nimble-1.1.0/nimble/inst/include/Eigen/SparseLU                                                  |    4 
 nimble-1.1.0/nimble/inst/include/Eigen/SparseQR                                                  |    1 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Cholesky/LDLT.h                                       |   78 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Cholesky/LLT.h                                        |   61 
 nimble-1.1.0/nimble/inst/include/Eigen/src/CholmodSupport/CholmodSupport.h                       |   76 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ArithmeticSequence.h                             |  143 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Array.h                                          |  112 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ArrayBase.h                                      |    4 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ArrayWrapper.h                                   |   42 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/AssignEvaluator.h                                |  175 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Assign_MKL.h                                     |   26 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/BandMatrix.h                                     |   32 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Block.h                                          |  116 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/BooleanRedux.h                                   |   16 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/CommaInitializer.h                               |    6 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ConditionEstimator.h                             |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/CoreEvaluators.h                                 |  449 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/CwiseBinaryOp.h                                  |   38 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/CwiseNullaryOp.h                                 |  133 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/CwiseUnaryOp.h                                   |   12 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/CwiseUnaryView.h                                 |   24 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/DenseBase.h                                      |  170 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/DenseCoeffsBase.h                                |   46 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/DenseStorage.h                                   |  224 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Diagonal.h                                       |   39 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/DiagonalMatrix.h                                 |   48 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Dot.h                                            |   21 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/EigenBase.h                                      |   19 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ForceAlignedAccess.h                             |   12 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/GeneralProduct.h                                 |   23 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/GenericPacketMath.h                              |  746 +
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/GlobalFunctions.h                                |   23 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/IO.h                                             |   47 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/IndexedView.h                                    |   40 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Inverse.h                                        |   19 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Map.h                                            |    8 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/MapBase.h                                        |   19 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/MathFunctions.h                                  | 1016 +-
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/MathFunctionsImpl.h                              |  145 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Matrix.h                                         |  158 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/MatrixBase.h                                     |   42 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/NestByValue.h                                    |   73 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/NoAlias.h                                        |    4 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/NumTraits.h                                      |   93 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/PartialReduxEvaluator.h                          |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/PermutationMatrix.h                              |   34 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/PlainObjectBase.h                                |  211 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Product.h                                        |   61 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ProductEvaluators.h                              |  334 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Random.h                                         |   36 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Redux.h                                          |  338 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Ref.h                                            |  140 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Replicate.h                                      |   12 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Reshaped.h                                       |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/ReturnByValue.h                                  |   10 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Reverse.h                                        |   24 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Select.h                                         |   14 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/SelfAdjointView.h                                |   55 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h                              |    4 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Solve.h                                          |   28 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/SolveTriangular.h                                |   33 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/SolverBase.h                                     |   44 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/StableNorm.h                                     |  170 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/StlIterators.h                                   |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Stride.h                                         |   13 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Swap.h                                           |    9 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Transpose.h                                      |  109 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Transpositions.h                                 |   75 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/TriangularMatrix.h                               |  153 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/VectorBlock.h                                    |   10 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/VectorwiseOp.h                                   |  225 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/Visitor.h                                        |  166 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX/Complex.h                               |  179 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX/MathFunctions.h                         |  467 -
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX/PacketMath.h                            | 1255 ++
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX/TypeCasting.h                           |   66 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX512/Complex.h                            |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX512/MathFunctions.h                      |  446 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX512/PacketMath.h                         | 1811 +++
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AVX512/TypeCasting.h                        |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AltiVec/Complex.h                           |  317 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AltiVec/MathFunctions.h                     |  270 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AltiVec/MatrixProduct.h                     |only
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 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AltiVec/MatrixProductMMA.h                  |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/AltiVec/PacketMath.h                        | 2390 ++++-
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/CUDA/Complex.h                              |  315 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/Default/BFloat16.h                          |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/Default/ConjHelper.h                        |  116 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/Default/GenericPacketMathFunctions.h        |only
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 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/Default/Half.h                              |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/Default/Settings.h                          |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/Default/TypeCasting.h                       |only
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 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/NEON/Complex.h                              |  536 -
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/NEON/GeneralBlockPanelKernel.h              |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/NEON/MathFunctions.h                        |  212 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/NEON/PacketMath.h                           | 4626 +++++++++-
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/NEON/TypeCasting.h                          |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/SSE/Complex.h                               |  243 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/SSE/MathFunctions.h                         |  495 -
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/SSE/PacketMath.h                            | 1160 +-
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/SSE/TypeCasting.h                           |   93 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/SVE                                         |only
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 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/ZVector/Complex.h                           |  187 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/ZVector/MathFunctions.h                     |   17 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/arch/ZVector/PacketMath.h                        |  239 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/functors/AssignmentFunctors.h                    |   13 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/functors/BinaryFunctors.h                        |  183 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/functors/NullaryFunctors.h                       |   61 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/functors/StlFunctors.h                           |   36 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/functors/UnaryFunctors.h                         |  335 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h               | 1664 ++-
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h                   |   63 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h         |   70 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h    |   14 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/GeneralMatrixMatrix_BLAS.h              |    6 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/GeneralMatrixVector.h                   |  187 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/Parallelizer.h                          |   27 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h               |   83 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/SelfadjointMatrixMatrix_BLAS.h          |   24 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h               |   14 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/SelfadjointProduct.h                    |    6 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h                |    7 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h                |   84 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/TriangularMatrixMatrix_BLAS.h           |   26 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/TriangularMatrixVector.h                |   22 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h                |   70 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/TriangularSolverMatrix_BLAS.h           |   12 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/products/TriangularSolverVector.h                |   23 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/BlasUtil.h                                  |  422 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/ConfigureVectorization.h                    |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/Constants.h                                 |   30 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/DisableStupidWarnings.h                     |   57 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/ForwardDeclarations.h                       |   37 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/IndexedViewHelper.h                         |   65 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/IntegralConstant.h                          |   12 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/Macros.h                                    |  943 +-
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/Memory.h                                    |  236 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/Meta.h                                      |  386 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/ReenableStupidWarnings.h                    |    8 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/ReshapedHelper.h                            |only
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/StaticAssert.h                              |   17 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/SymbolicIndex.h                             |   25 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Core/util/XprHelper.h                                 |   87 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/ComplexEigenSolver.h                      |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/ComplexSchur.h                            |   11 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/EigenSolver.h                             |    4 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h                  |    5 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h       |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h                 |    4 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h                   |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/RealQZ.h                                  |   15 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/RealSchur.h                               |   34 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h                  |  120 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h          |   25 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h                      |   35 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Geometry/AlignedBox.h                                 |  102 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/Geometry/ParametrizedLine.h                           |    2 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/Geometry/Rotation2D.h                                 |    6 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h |   22 
 nimble-1.1.0/nimble/inst/include/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h               |   20 
 nimble-1.1.0/nimble/inst/include/Eigen/src/Jacobi/Jacobi.h                                       |   35 
 nimble-1.1.0/nimble/inst/include/Eigen/src/KLUSupport/KLUSupport.h                               |    8 
 nimble-1.1.0/nimble/inst/include/Eigen/src/LU/Determinant.h                                      |   54 
 nimble-1.1.0/nimble/inst/include/Eigen/src/LU/FullPivLU.h                                        |   70 
 nimble-1.1.0/nimble/inst/include/Eigen/src/LU/InverseImpl.h                                      |   35 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/LU/arch/InverseSize4.h                                |only
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 nimble-1.1.0/nimble/inst/include/Eigen/src/QR/ColPivHouseholderQR.h                              |   60 
 nimble-1.1.0/nimble/inst/include/Eigen/src/QR/CompleteOrthogonalDecomposition.h                  |  125 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h                    |   28 
 nimble-1.1.0/nimble/inst/include/Eigen/src/SVD/BDCSVD.h                                          |  139 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/SparseCore/SparseProduct.h                            |   14 
 nimble-1.1.0/nimble/inst/include/Eigen/src/SparseCore/SparseRef.h                                |   14 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h                       |    2 
 nimble-1.1.0/nimble/inst/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h                        |    2 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/StlSupport/StdVector.h                                |    4 
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 nimble-1.1.0/nimble/inst/include/Eigen/src/plugins/MatrixCwiseBinaryOps.h                        |    8 
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 nimble-1.1.0/nimble/man/as.carAdjacency.Rd                                                       |    2 
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 nimble-1.1.0/nimble/man/runCrossValidate.Rd                                                      |   16 
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 nimble-1.1.0/nimble/man/simNodesMV.Rd                                                            |   10 
 nimble-1.1.0/nimble/tests/testthat/AD_math_test_lists.R                                          |    1 
 nimble-1.1.0/nimble/tests/testthat/AD_test_utils.R                                               |   16 
 nimble-1.1.0/nimble/tests/testthat/mathTestLists.R                                               |   18 
 nimble-1.1.0/nimble/tests/testthat/mcmcTestLog_Correct.Rout                                      |   11 
 nimble-1.1.0/nimble/tests/testthat/test-ADbasics.R                                               |  153 
 nimble-1.1.0/nimble/tests/testthat/test-ADdists.R                                                |    2 
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 nimble-1.1.0/nimble/tests/testthat/test-ADfunctions.R                                            |  439 
 nimble-1.1.0/nimble/tests/testthat/test-ADlaplace.R                                              |   46 
 nimble-1.1.0/nimble/tests/testthat/test-ADmodels-bigmv.R                                         |   13 
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 nimble-1.1.0/nimble/tests/testthat/test-bnp.R                                                    |   34 
 nimble-1.1.0/nimble/tests/testthat/test-car.R                                                    |   41 
 nimble-1.1.0/nimble/tests/testthat/test-checkDSL.R                                               |   21 
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 nimble-1.1.0/nimble/tests/testthat/test-user.R                                                   |   64 
 nimble-1.1.0/nimble/tests/testthat/test_utils.R                                                  |   50 
 394 files changed, 28444 insertions(+), 11869 deletions(-)

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New package isocountry with initial version 0.1.0
Package: isocountry
Title: ISO 3166-1 Country Codes
Version: 0.1.0
Description: ISO 3166-1 country codes provided by the International Organization for Standardization.
License: MIT + file LICENSE
URL: https://m-muecke.github.io/isocountry/, https://github.com/m-muecke/isocountry
BugReports: https://github.com/m-muecke/isocountry/issues
Depends: R (>= 3.4.0)
Imports: tibble
Suggests: dplyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-27 16:18:32 UTC; mmuecke
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-31 20:00:05 UTC

More information about isocountry at CRAN
Permanent link

Package insight updated to version 0.19.8 with previous version 0.19.7 dated 2023-11-26

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between insight versions 0.19.7 dated 2023-11-26 and 0.19.8 dated 2024-01-31

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 50 files changed, 836 insertions(+), 736 deletions(-)

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New package carbondate with initial version 1.0.1
Package: carbondate
Title: Calibration and Summarisation of Radiocarbon Dates
Version: 1.0.1
Description: Performs Bayesian non-parametric calibration of multiple related radiocarbon determinations, and summarises the calendar age information to plot their joint calendar age density (see Heaton (2022) <doi:10.1111/rssc.12599>). Also models the occurrence of radiocarbon samples as a variable-rate (inhomogeneous) Poisson process, plotting the posterior estimate for the occurrence rate of the samples over calendar time, and providing information about potential change points.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
Imports: graphics, grDevices, stats, utils
URL: https://github.com/TJHeaton/carbondate, https://tjheaton.github.io/carbondate/
BugReports: https://github.com/TJHeaton/carbondate/issues
VignetteBuilder: knitr
LinkingTo: cpp11
NeedsCompilation: yes
Packaged: 2024-01-29 15:40:58 UTC; timjh
Author: Timothy J Heaton [aut, cre, cph] , Sara Al-assam [aut, cph]
Maintainer: Timothy J Heaton <T.Heaton@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2024-01-31 19:40:02 UTC

More information about carbondate at CRAN
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New package apex with initial version 1.0.6
Package: apex
Title: Phylogenetic Methods for Multiple Gene Data
Version: 1.0.6
Description: Toolkit for the analysis of multiple gene data (Jombart et al. 2017) <doi:10.1111/1755-0998.12567>. 'apex' implements the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle aligned DNA sequences from multiple genes.
Depends: R (>= 3.1.3), methods, ape, phangorn
Imports: utils, graphics, stats, adegenet
License: GPL (>= 2)
URL: https://github.com/thibautjombart/apex
BugReports: https://github.com/thibautjombart/apex/issues
VignetteBuilder: knitr
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-01-29 15:32:08 UTC; klaus
Author: Klaus Schliep [aut, cre] , Thibaut Jombart [aut], Zhian Namir Kamvar [aut], Eric Archer [aut], Rebecca Harris [aut]
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-31 19:40:07 UTC

More information about apex at CRAN
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Package reticulate updated to version 1.35.0 with previous version 1.34.0 dated 2023-10-12

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between reticulate versions 1.34.0 dated 2023-10-12 and 1.35.0 dated 2024-01-31

 DESCRIPTION                                         |    8 
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More information about reticulate at CRAN
Permanent link

Package tigers updated to version 0.1-3 with previous version 0.1-2 dated 2024-01-26

Title: Integration of Geography, Environment, and Remote Sensing
Description: Handling and manipulation polygons, coordinates, and other geographical objects. The tools include: polygon areas, barycentric and trilinear coordinates (Hormann and Floater, 2006, <doi:10.1145/1183287.1183295>), convex hull for polygons (Graham and Yao, 1983, <doi:10.1016/0196-6774(83)90013-5>), polygon triangulation (Toussaint, 1991, <doi:10.1007/BF01905693>), great circle and geodesic distances, Hausdorff distance, and reduced major axis.
Author: Emmanuel Paradis [aut, cre, cph]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

Diff between tigers versions 0.1-2 dated 2024-01-26 and 0.1-3 dated 2024-01-31

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
 NEWS        |   10 ++++++++++
 R/FUNs.R    |    5 ++++-
 4 files changed, 21 insertions(+), 8 deletions(-)

More information about tigers at CRAN
Permanent link

Package SNSFdatasets updated to version 0.1.1 with previous version 0.1.0 dated 2023-09-23

Title: Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)
Description: Download and read datasets from the Swiss National Science Foundation (SNF, FNS, SNSF; <https://snf.ch>). The package is lightweight and without dependencies. Downloaded data can optionally be cached, to avoid repeated downloads of the same files. There are also utilities for comparing different versions of datasets, i.e. to report added, removed and changed entries.
Author: Silvia Martens [ctb] , Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between SNSFdatasets versions 0.1.0 dated 2023-09-23 and 0.1.1 dated 2024-01-31

 DESCRIPTION         |   10 +++++-----
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 NEWS                |    5 +++++
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 man/SNSFdatasets.Rd |   28 +++++++++++++++-------------
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More information about SNSFdatasets at CRAN
Permanent link

Package redcapAPI updated to version 2.8.4 with previous version 2.8.0 dated 2023-09-12

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [ctb, aut], Shawn Garbett [cre, ctb] , Savannah Obregon [ctb], Thomas Obadia [ctb], Marcus Lehr [ctb], Brian High [ctb], Stephen Lane [ctb], Will Beasley [ctb], Will Gray [ctb], Nick Kennedy [ctb], Tan Hsi-Nien [ctb], Jeffrey Horner [ [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

Diff between redcapAPI versions 2.8.0 dated 2023-09-12 and 2.8.4 dated 2024-01-31

 redcapAPI-2.8.0/redcapAPI/R/cleanseMetaData.R                                                                     |only
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 redcapAPI-2.8.4/redcapAPI/NAMESPACE                                                                               |   20 
 redcapAPI-2.8.4/redcapAPI/NEWS                                                                                    |   39 
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 redcapAPI-2.8.4/redcapAPI/R/deleteFromFileRepository.R                                                            |    2 
 redcapAPI-2.8.4/redcapAPI/R/deleteRecords.R                                                                       |    4 
 redcapAPI-2.8.4/redcapAPI/R/deleteUserRoles.R                                                                     |    2 
 redcapAPI-2.8.4/redcapAPI/R/deleteUsers.R                                                                         |    2 
 redcapAPI-2.8.4/redcapAPI/R/docsArmsMethods.R                                                                     |    6 
 redcapAPI-2.8.4/redcapAPI/R/docsDagAssignmentMethods.R                                                            |    3 
 redcapAPI-2.8.4/redcapAPI/R/docsDagMethods.R                                                                      |    6 
 redcapAPI-2.8.4/redcapAPI/R/docsEventMethods.R                                                                    |    6 
 redcapAPI-2.8.4/redcapAPI/R/docsFileMethods.R                                                                     |   17 
 redcapAPI-2.8.4/redcapAPI/R/docsFileRepositoryMethods.R                                                           |   18 
 redcapAPI-2.8.4/redcapAPI/R/docsFromFileRepository.R                                                              |    9 
 redcapAPI-2.8.4/redcapAPI/R/docsMappingMethods.R                                                                  |    1 
 redcapAPI-2.8.4/redcapAPI/R/docsMetaDataMethods.R                                                                 |    8 
 redcapAPI-2.8.4/redcapAPI/R/docsProjectInformationMethods.R                                                       |    3 
 redcapAPI-2.8.4/redcapAPI/R/docsRecordsManagementMethods.R                                                        |    4 
 redcapAPI-2.8.4/redcapAPI/R/docsRecordsMethods.R                                                                  |    5 
 redcapAPI-2.8.4/redcapAPI/R/docsRecordsTypedMethods.R                                                             |   36 
 redcapAPI-2.8.4/redcapAPI/R/docsRepeatingInstrumentEventMethods.R                                                 |    3 
 redcapAPI-2.8.4/redcapAPI/R/docsUserMethods.R                                                                     |    6 
 redcapAPI-2.8.4/redcapAPI/R/docsUserRoleAssignmentMethods.R                                                       |    3 
 redcapAPI-2.8.4/redcapAPI/R/docsUserRoleMethods.R                                                                 |    7 
 redcapAPI-2.8.4/redcapAPI/R/documentation-common-args.R                                                           |   14 
 redcapAPI-2.8.4/redcapAPI/R/exportArms.R                                                                          |    4 
 redcapAPI-2.8.4/redcapAPI/R/exportDags.R                                                                          |    4 
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 redcapAPI-2.8.4/redcapAPI/R/exportMetaData.R                                                                      |   18 
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 redcapAPI-2.8.4/redcapAPI/R/exportRecords.R                                                                       |   27 
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 redcapAPI-2.8.4/redcapAPI/R/exportRepeatingInstrumentsEvents.R                                                    |    4 
 redcapAPI-2.8.4/redcapAPI/R/exportReports.R                                                                       |    4 
 redcapAPI-2.8.4/redcapAPI/R/exportReportsTyped.R                                                                  |    9 
 redcapAPI-2.8.4/redcapAPI/R/exportSurveyParticipants.R                                                            |    6 
 redcapAPI-2.8.4/redcapAPI/R/exportUserDagAssignments.R                                                            |    9 
 redcapAPI-2.8.4/redcapAPI/R/exportUserRoleAssignments.R                                                           |    8 
 redcapAPI-2.8.4/redcapAPI/R/exportUserRoles.R                                                                     |   10 
 redcapAPI-2.8.4/redcapAPI/R/exportUsers.R                                                                         |    4 
 redcapAPI-2.8.4/redcapAPI/R/fieldCastingFunctions.R                                                               |  162 +++-
 redcapAPI-2.8.4/redcapAPI/R/fieldValidationAndCasting.R                                                           |  102 ++
 redcapAPI-2.8.4/redcapAPI/R/filterEmptyRow.R                                                                      |   31 
 redcapAPI-2.8.4/redcapAPI/R/importArms.R                                                                          |    8 
 redcapAPI-2.8.4/redcapAPI/R/importDags.R                                                                          |    3 
 redcapAPI-2.8.4/redcapAPI/R/importEvents.R                                                                        |    8 
 redcapAPI-2.8.4/redcapAPI/R/importFiles.R                                                                         |    6 
 redcapAPI-2.8.4/redcapAPI/R/importMappings.R                                                                      |    4 
 redcapAPI-2.8.4/redcapAPI/R/importMetaData.R                                                                      |    6 
 redcapAPI-2.8.4/redcapAPI/R/importProjectInformation.R                                                            |    5 
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 redcapAPI-2.8.4/redcapAPI/R/importUsers.R                                                                         |    4 
 redcapAPI-2.8.4/redcapAPI/R/invalid.R                                                                             |    9 
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 redcapAPI-2.8.4/redcapAPI/R/purgeRestoreProject.R                                                                 |   82 --
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 redcapAPI-2.8.4/redcapAPI/R/renameRecord.R                                                                        |    2 
 redcapAPI-2.8.4/redcapAPI/R/switchDag.R                                                                           |    5 
 redcapAPI-2.8.4/redcapAPI/R/unlockREDCap.R                                                                        |    7 
 redcapAPI-2.8.4/redcapAPI/README.md                                                                               |  120 ++-
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 redcapAPI-2.8.4/redcapAPI/man/switchDag.Rd                                                                        |    3 
 redcapAPI-2.8.4/redcapAPI/man/unlockREDCap.Rd                                                                     |    8 
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 redcapAPI-2.8.4/redcapAPI/tests/testthat/test-002-projectSetup.R                                                  |   15 
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 redcapAPI-2.8.4/redcapAPI/tests/testthat/test-050-makeApiCall.R                                                   |   85 ++
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Package nlmixr2plot updated to version 2.0.8 with previous version 2.0.7 dated 2022-10-19

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2plot versions 2.0.7 dated 2022-10-19 and 2.0.8 dated 2024-01-31

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Package eq5d updated to version 0.15.2 with previous version 0.15.1 dated 2023-11-20

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://euroqol.org/>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-3l/>) or a five-level (EQ-5D-5L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension [...truncated...]
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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Package archeoViz updated to version 1.3.4 with previous version 1.3.2 dated 2023-09-18

Title: Visualisation, Exploration, and Web Communication of Archaeological Spatial Data
Description: An R 'Shiny' application for the visualisation, interactive exploration, and web communication of archaeological spatial data. It includes interactive 3D and 2D visualisations, generation of cross sections and maps of the remains, and display an interactive timeline of the work made in a site. Simple spatial statistics can be performed (convex hull, regression surfaces, 2D kernel density estimation), as well as exporting data to other online applications for more complex methods. 'archeoViz' can be used locally or deployed on a server, either with interactive input of data or with a static data set. Example is provided at <https://analytics.huma-num.fr/archeoviz/en>.
Author: Sebastien Plutniak [aut, cre] , Renata Araujo [ctb] , Laura Coltofean [ctb] , Nicolas Delsol [ctb] , Sara Giardino [ctb] , Julian Laabs [ctb]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package visvow updated to version 1.3.11 with previous version 1.3.10 dated 2023-10-16

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa [aut, cre], Hans Van de Velde [aut]
Maintainer: Wilbert Heeringa <wheeringa@fryske-akademy.nl>

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Package terra updated to version 1.7-71 with previous version 1.7-65 dated 2023-12-15

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package strex updated to version 2.0.0 with previous version 1.6.1 dated 2023-10-30

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged; it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package PhylogeneticEM updated to version 1.7.0 with previous version 1.6.0 dated 2022-08-31

Title: Automatic Shift Detection using a Phylogenetic EM
Description: Implementation of the automatic shift detection method for Brownian Motion (BM) or Ornstein–Uhlenbeck (OU) models of trait evolution on phylogenies. Some tools to handle equivalent shifts configurations are also available. See Bastide et al. (2017) <doi:10.1111/rssb.12206> and Bastide et al. (2018) <doi:10.1093/sysbio/syy005>.
Author: Paul Bastide [aut, cre], Mahendra Mariadassou [ctb]
Maintainer: Paul Bastide <paul.bastide@m4x.org>

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Package MetabolomicsBasics updated to version 1.4.5 with previous version 1.4.3 dated 2023-10-27

Title: Basic Functions to Investigate Metabolomics Data Matrices
Description: A set of functions to investigate raw data from (metabol)omics experiments intended to be used on a raw data matrix, i.e. following peak picking and signal deconvolution. Functions can be used to normalize data, detect biomarkers and perform sample classification. A detailed description of best practice usage may be found in the publication <doi:10.1007/978-1-4939-7819-9_20>.
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>

Diff between MetabolomicsBasics versions 1.4.3 dated 2023-10-27 and 1.4.5 dated 2024-01-31

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Package GWmodel updated to version 2.3-2 with previous version 2.3-1 dated 2023-07-05

Title: Geographically-Weighted Models
Description: Techniques from a particular branch of spatial statistics,termed geographically-weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localised calibration provides a better description. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al., 2002)<doi: 10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al., 2011)<doi: 10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al., 2007)<doi: 10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al., 1996)<doi: 10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[aut],Isabella Gollini[ctb], Yigong Hu[ctb], Fiona H Evans[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GWmodel versions 2.3-1 dated 2023-07-05 and 2.3-2 dated 2024-01-31

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Package dtts updated to version 0.1.2 with previous version 0.1.1 dated 2023-08-08

Title: 'data.table' Time-Series
Description: High-frequency time-series support via 'nanotime' and 'data.table'.
Author: Dirk Eddelbuettel and Leonardo Silvestri
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between dtts versions 0.1.1 dated 2023-08-08 and 0.1.2 dated 2024-01-31

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Package ChemoSpecUtils updated to version 1.0.4 with previous version 1.0.3 dated 2023-05-30

Title: Functions Supporting Packages ChemoSpec and ChemoSpec2D
Description: Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.
Author: Bryan A. Hanson [aut, cre] , Tejasvi Gupta [ctb]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between ChemoSpecUtils versions 1.0.3 dated 2023-05-30 and 1.0.4 dated 2024-01-31

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New package zoomerjoin with initial version 0.1.4
Package: zoomerjoin
Title: Superlatively Fast Fuzzy Joins
Version: 0.1.4
Description: Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage. The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: Cargo (>= 1.56) (Rust's package manager), rustc
Imports: dplyr, tibble, tidyr
Suggests: babynames, covr, fuzzyjoin, igraph, knitr, rmarkdown, stringdist, testthat (>= 3.0.0), tidyverse, purrr, microbenchmark, profmem
URL: https://beniamino.org/zoomerjoin/
BugReports: https://github.com/beniaminogreen/zoomerjoin/issues/
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2024-01-29 01:44:30 UTC; beniamino
Author: Beniamino Green [aut, cre, cph], Etienne Bacher [ctb], The authors of the dependency Rust crates [ctb, cph]
Maintainer: Beniamino Green <beniamino.green@yale.edu>
Repository: CRAN
Date/Publication: 2024-01-31 15:30:02 UTC

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New package viruslearner with initial version 0.0.1
Package: viruslearner
Title: Ensemble Learning for HIV-Related Metrics
Version: 0.0.1
Description: Advanced statistical modeling techniques for ensemble learning, specifically tailored to the analysis of lymphocyte counts and viral load data in the context of HIV research. Empowering researchers and practitioners, this tool provides a comprehensive solution for tasks such as analysis, prediction and risk calculation related to key viral metrics. The package incorporates cutting-edge ensemble learning principles, inspired by model stacking techniques of Simon P. Couch and Max Kuhn (2022) <doi:10.21105/joss.04471> and adhering to tidy data principles, offering a robust and reproducible framework for HIV research.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: baguette, kernlab, kknn, knitr, ranger, rmarkdown, rules, testthat (>= 3.0.0), vdiffr
Depends: R (>= 2.10)
LazyData: true
Imports: dials, dplyr, hardhat, parsnip, recipes, rsample, stacks, stats, tidyselect, tune, workflows, workflowsets, yardstick
URL: https://github.com/juanv66x/viruslearner
BugReports: https://github.com/juanv66x/viruslearner/issues
NeedsCompilation: no
Packaged: 2024-01-27 15:36:34 UTC; jp
Author: Juan Pablo Acuna Gonzalez [aut, cre, cph] , Maria de los Angeles Salgado Jimenez [aut] , Baltazar Joanico Morales [aut] , Juan Villagomez Mendez [aut]
Maintainer: Juan Pablo Acuna Gonzalez <22253567@uagro.mx>
Repository: CRAN
Date/Publication: 2024-01-31 15:10:02 UTC

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New package teal.data with initial version 0.4.0
Package: teal.data
Title: Data Model for 'teal' Applications
Version: 0.4.0
Date: 2024-01-24
Description: Provides a 'teal_data' class as a unified data model for 'teal' applications focusing on reproducibility and relational data.
License: Apache License 2.0
URL: https://insightsengineering.github.io/teal.data/, https://github.com/insightsengineering/teal.data/
BugReports: https://github.com/insightsengineering/teal.data/issues
Depends: R (>= 4.0), teal.code (>= 0.5.0)
Imports: checkmate (>= 2.1.0), lifecycle (>= 0.2.0), methods, rlang (>= 1.1.0), stats, utils
Suggests: knitr (>= 1.42), rmarkdown (>= 2.19), testthat (>= 3.1.5)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-28 16:37:17 UTC; gonzo
Author: Dawid Kaledkowski [aut, cre] , Aleksander Chlebowski [aut] , Marcin Kosinski [aut], Andre Verissimo [aut] , Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], Chendi Liao [re [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>
Repository: CRAN
Date/Publication: 2024-01-31 15:30:06 UTC

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Package shinymodels updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-17

Title: Interactive Assessments of Models
Description: Launch a 'shiny' application for 'tidymodels' results. For classification or regression models, the app can be used to determine if there is lack of fit or poorly predicted points.
Author: Max Kuhn [aut] , Shisham Adhikari [aut], Julia Silge [aut] , Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between shinymodels versions 0.1.0 dated 2021-11-17 and 0.1.1 dated 2024-01-31

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Package rstantools updated to version 2.4.0 with previous version 2.3.1.1 dated 2023-07-18

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut, cre], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Trustees of Columbia University [cph]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between rstantools versions 2.3.1.1 dated 2023-07-18 and 2.4.0 dated 2024-01-31

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Package pRecipe updated to version 3.0.1-3 with previous version 3.0.1-2 dated 2023-11-22

Title: Precipitation R Recipes
Description: An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).
Author: Mijael Rodrigo Vargas Godoy [aut, cre] , Yannis Markonis [aut, ths]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>

Diff between pRecipe versions 3.0.1-2 dated 2023-11-22 and 3.0.1-3 dated 2024-01-31

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New package magicaxis with initial version 2.4.5
Package: magicaxis
Title: Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick Support
Version: 2.4.5
Date: 2024-01-29
Author: Aaron Robotham
Maintainer: Aaron Robotham <aaron.robotham@uwa.edu.au>
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
License: GPL-3
Suggests: imager, fst
Imports: grDevices, graphics, stats, celestial (>= 1.4.1), MASS, plotrix, sm, mapproj, RANN
NeedsCompilation: no
Packaged: 2024-01-29 13:17:42 UTC; aaron
Repository: CRAN
Date/Publication: 2024-01-31 15:40:02 UTC

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Package infer updated to version 1.0.6 with previous version 1.0.5 dated 2023-09-05

Title: Tidy Statistical Inference
Description: The objective of this package is to perform inference using an expressive statistical grammar that coheres with the tidy design framework.
Author: Andrew Bray [aut], Chester Ismay [aut] , Evgeni Chasnovski [aut] , Simon Couch [aut, cre] , Ben Baumer [aut] , Mine Cetinkaya-Rundel [aut] , Ted Laderas [ctb] , Nick Solomon [ctb], Johanna Hardin [ctb], Albert Y. Kim [ctb] , Neal Fultz [ctb], Doug Fr [...truncated...]
Maintainer: Simon Couch <simon.couch@posit.co>

Diff between infer versions 1.0.5 dated 2023-09-05 and 1.0.6 dated 2024-01-31

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New package cTOST with initial version 1.0.0
Package: cTOST
Title: Finite Sample Correction of the Two One-Sided Tests in the Univariate Framework
Version: 1.0.0
Maintainer: Younes Boulaguiem <younes.boulaguiem@gmail.com>
Description: A system containing easy-to-use tools to compute the bioequivalence assessment in the univariate framework using the methods proposed in Boulaguiem et al. (2023) <doi:10.1101/2023.03.11.532179>.
Depends: PowerTOST, cli, knitr, R (>= 4.0)
Imports: OwenQ, rmarkdown
Suggests: asciicast
License: AGPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/yboulag/cTOST
BugReports: https://github.com/yboulag/cTOST/issues
NeedsCompilation: no
Packaged: 2024-01-29 10:31:28 UTC; yobo19
Author: Younes Boulaguiem [aut, cre, cph], Stephane Guerrier [aut, cph], Dominique-Laurent Couturier [aut, cph], Stephane Laurent [cph]
Repository: CRAN
Date/Publication: 2024-01-31 15:30:25 UTC

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Package compositions updated to version 2.0-8 with previous version 2.0-7 dated 2024-01-09

Title: Compositional Data Analysis
Description: Provides functions for the consistent analysis of compositional data (e.g. portions of substances) and positive numbers (e.g. concentrations) in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.
Author: K. Gerald van den Boogaart <boogaart@hzdr.de>, Raimon Tolosana-Delgado, Matevz Bren
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>

Diff between compositions versions 2.0-7 dated 2024-01-09 and 2.0-8 dated 2024-01-31

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New package stressor with initial version 0.1.0
Package: stressor
Title: Algorithms for Testing Models under Stress
Version: 0.1.0
Description: Traditional model evaluation metrics fail to capture model performance under less than ideal conditions. This package employs techniques to evaluate models "under-stress". This includes testing models' extrapolation ability, or testing accuracy on specific sub-samples of the overall model space. Details describing stress-testing methods in this package are provided in Haycock (2023) <doi:10.26076/2am5-9f67>. The other primary contribution of this package is provided to R users access to the 'Python' library 'PyCaret' <https://pycaret.org/> for quick and easy access to auto-tuned machine learning models.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
SystemRequirements: python(>=3.8.10)
Suggests: knitr, rmarkdown, ggplot2, mlbench, testthat (>= 3.0.0)
Imports: reticulate, stats, dplyr
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2024-01-24 20:22:19 UTC; 14357
Author: Sam Haycock [aut, cre], Brennan Bean [aut], Utah State University [cph, fnd], Thermo Fisher Scientific Inc. [fnd]
Maintainer: Sam Haycock <haycock.sam@outlook.com>
Repository: CRAN
Date/Publication: 2024-01-31 14:40:02 UTC

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Package robin updated to version 1.1.2 with previous version 1.1.1 dated 2022-05-16

Title: ROBustness in Network
Description: Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) <https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.
Author: Valeria Policastro [aut, cre], Dario Righelli [aut], Luisa Cutillo [aut], Italia De Feis [aut], Annamaria Carissimo [aut]
Maintainer: Valeria Policastro <valeria.policastro@gmail.com>

Diff between robin versions 1.1.1 dated 2022-05-16 and 1.1.2 dated 2024-01-31

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Package nlmixr2extra updated to version 2.0.9 with previous version 2.0.8 dated 2022-10-22

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2extra versions 2.0.8 dated 2022-10-22 and 2.0.9 dated 2024-01-31

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New package modelfactory with initial version 1.0.0
Package: modelfactory
Title: Combine Statistical Models into a Tibble for Comparison
Version: 1.0.0
Description: Statisticians often want to compare the fit of different models on the same data set. However, this usually involves a lot of manual code to fish items out of summary() or plain model objects. 'modelfactory' offers the capability to pass multiple models in and get out metrics or coefficients for quick comparison with easy-to-remember syntax.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), lme4
Imports: dplyr, MASS, stats, tibble
URL: https://willtirone.github.io/modelfactory/, https://github.com/WillTirone/modelfactory
BugReports: https://github.com/WillTirone/modelfactory/issues
NeedsCompilation: no
Packaged: 2024-01-24 19:10:17 UTC; willtirone
Author: Will Tirone [aut, cre, cph]
Maintainer: Will Tirone <will.tirone1@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-31 14:40:06 UTC

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New package fastglmpca with initial version 0.1-103
Encoding: UTF-8
Package: fastglmpca
Version: 0.1-103
Date: 2024-01-23
Title: Fast Algorithms for Generalized Principal Component Analysis
Description: Implements fast, scalable optimization algorithms for fitting generalized principal components analysis (GLM-PCA) models, as described in "A Generalization of Principal Components Analysis to the Exponential Family" Collins M, Dasgupta S, Schapire RE (2002, ISBN:9780262271738), and subsequently "Feature Selection and Dimension Reduction for Single-Cell RNA-Seq Based on a Multinomial Model" Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019) <doi:10.1186/s13059-019-1861-6>.
License: GPL (>= 2)
URL: https://github.com/stephenslab/fastglmpca
BugReports: https://github.com/stephenslab/fastglmpca/issues
SystemRequirements: GNU make
Depends: R (>= 3.6)
Imports: utils, Matrix, MatrixExtra, stats, distr, daarem, Rcpp (>= 1.0.8), RcppParallel (>= 5.1.5)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat, knitr, rmarkdown, ggplot2, cowplot
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
VignetteBuilder: knitr
Packaged: 2024-01-24 18:17:13 UTC; eweine
Author: Eric Weine [aut, cre], Peter Carbonetto [aut], Matthew Stephens [aut]
Maintainer: Eric Weine <ericweine15@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-31 14:40:09 UTC

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New package FactoClass with initial version 1.2.9
Package: FactoClass
Version: 1.2.9
Date: 2024-01-24
Title: Combination of Factorial Methods and Cluster Analysis
Author: Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo <pcdelcampon@unal.edu.co> and Camilo Jose Torres <cjtorresj@unal.edu.co>, with the contributions from. Ivan Diaz <ildiazm@unal.edu.co>, Mauricio Sadinle <msadinleg@unal.edu.co>, Jhonatha [...truncated...]
Maintainer: Campo Elias Pardo <cepardot@unal.edu.co>
Description: Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. In order to permit different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels.
Depends: R (>= 2.10), ade4,ggplot2,ggrepel,xtable,scatterplot3d
Imports: KernSmooth
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-01-24 17:32:52 UTC; cepardot
Repository: CRAN
Date/Publication: 2024-01-31 14:40:12 UTC

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Package BayesGmed updated to version 0.0.3 with previous version 0.0.2 dated 2023-11-10

Title: Bayesian Causal Mediation Analysis using 'Stan'
Description: Performs parametric mediation analysis using the Bayesian g-formula approach for binary and continuous outcomes. The methodology is based on Comment (2018) <doi:10.5281/zenodo.1285275> and a demonstration of its application can be found at Yimer et al. (2022) <doi:10.48550/arXiv.2210.08499>.
Author: Belay Birlie Yimer [aut, cre] , Mark Lunt [aut], Marcus Beasley [aut], Gary J Macfarlane [aut], John McBeth [aut]
Maintainer: Belay Birlie Yimer <belaybirlie.yimer@manchester.ac.uk>

Diff between BayesGmed versions 0.0.2 dated 2023-11-10 and 0.0.3 dated 2024-01-31

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Package ao updated to version 0.3.1 with previous version 0.3.0 dated 2023-11-08

Title: Alternating Optimization
Description: Alternating optimization of (high-dimensional) functions is an iterative procedure for optimizing jointly over all parameters by alternately optimizing parameter subsets.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between ao versions 0.3.0 dated 2023-11-08 and 0.3.1 dated 2024-01-31

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Package tidyfast (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:

2020-03-20 0.2.1

Permanent link
New package sgd with initial version 1.1.2
Package: sgd
Title: Stochastic Gradient Descent for Scalable Estimation
Version: 1.1.2
Maintainer: Junhyung Lyle Kim <jlylekim@gmail.com>
Description: A fast and flexible set of tools for large scale estimation. It features many stochastic gradient methods, built-in models, visualization tools, automated hyperparameter tuning, model checking, interval estimation, and convergence diagnostics.
URL: https://github.com/airoldilab/sgd
BugReports: https://github.com/airoldilab/sgd/issues
License: GPL-2
Imports: ggplot2, MASS, methods, Rcpp (>= 0.11.3), stats
Suggests: bigmemory, glmnet, gridExtra, R.rsp, testthat
LinkingTo: BH, bigmemory, Rcpp, RcppArmadillo
LazyData: yes
VignetteBuilder: R.rsp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-01-31 13:09:36 UTC; jlylekim
Author: Junhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]
Repository: CRAN
Date/Publication: 2024-01-31 13:50:02 UTC

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Package parcr updated to version 0.5.1 with previous version 0.5.0 dated 2024-01-16

Title: Construct Parsers for Structured Text Files
Description: Construct parser combinator functions, higher order functions that parse input. Construction of such parsers is transparent and easy. Their main application is the parsing of structured text files like those generated by laboratory instruments. Based on a paper by Hutton (1992) <doi:10.1017/S0956796800000411>.
Author: Douwe Molenaar [aut, cre, cph]
Maintainer: Douwe Molenaar <d.molenaar@vu.nl>

Diff between parcr versions 0.5.0 dated 2024-01-16 and 0.5.1 dated 2024-01-31

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Package InterpretMSSpectrum updated to version 1.4.5 with previous version 1.3.8 dated 2023-07-07

Title: Interpreting High Resolution Mass Spectra
Description: High resolution mass spectrometry yields often large data sets of spectra from compounds which are not present in available libraries. These spectra need to be annotated and interpreted. 'InterpretMSSpectrum' provides a set of functions to perform such tasks for Electrospray-Ionization and Atmospheric-Pressure-Chemical-Ionization derived data in positive and negative ionization mode.
Author: Jan Lisec [aut, cre] , Jaeger Carsten [aut]
Maintainer: Jan Lisec <jan.lisec@bam.de>

Diff between InterpretMSSpectrum versions 1.3.8 dated 2023-07-07 and 1.4.5 dated 2024-01-31

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Package ungroup updated to version 1.4.4 with previous version 1.4.2 dated 2021-06-28

Title: Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data
Description: Versatile method for ungrouping histograms (binned count data) assuming that counts are Poisson distributed and that the underlying sequence on a fine grid to be estimated is smooth. The method is based on the composite link model and estimation is achieved by maximizing a penalized likelihood. Smooth detailed sequences of counts and rates are so estimated from the binned counts. Ungrouping binned data can be desirable for many reasons: Bins can be too coarse to allow for accurate analysis; comparisons can be hindered when different grouping approaches are used in different histograms; and the last interval is often wide and open-ended and, thus, covers a lot of information in the tail area. Age-at-death distributions grouped in age classes and abridged life tables are examples of binned data. Because of modest assumptions, the approach is suitable for many demographic and epidemiological applications. For a detailed description of the method and applications see Rizzi et al. (2015) &l [...truncated...]
Author: Marius D. Pascariu [aut, cre] , Silvia Rizzi [aut], Jonas Schoeley [aut] , Maciej J. Danko [aut]
Maintainer: Marius D. Pascariu <rpascariu@outlook.com>

Diff between ungroup versions 1.4.2 dated 2021-06-28 and 1.4.4 dated 2024-01-31

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Package QuickJSR updated to version 1.1.3 with previous version 1.1.0 dated 2024-01-21

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

Diff between QuickJSR versions 1.1.0 dated 2024-01-21 and 1.1.3 dated 2024-01-31

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Package heemod updated to version 1.0.1 with previous version 0.16.0 dated 2023-07-18

Title: Markov Models for Health Economic Evaluations
Description: An implementation of the modelling and reporting features described in reference textbook and guidelines (Briggs, Andrew, et al. Decision Modelling for Health Economic Evaluation. Oxford Univ. Press, 2011; Siebert, U. et al. State-Transition Modeling. Medical Decision Making 32, 690-700 (2012).): deterministic and probabilistic sensitivity analysis, heterogeneity analysis, time dependency on state-time and model-time (semi-Markov and non-homogeneous Markov models), etc.
Author: Kevin Zarca [aut, cre], Antoine Filipovic-Pierucci [aut], Matthew Wiener [ctb], Zdenek Kabat [ctb], Vojtech Filipec [ctb], Jordan Amdahl [ctb], Yonatan Carranza Alarcon [ctb], Vince Daniels [ctb]
Maintainer: Kevin Zarca <kevin.zarca@gmail.com>

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Package forceplate updated to version 1.1-0 with previous version 1.0-0 dated 2023-12-19

Title: Processing Force-Plate Data
Description: Process raw force-plate data (txt-files) by segmenting them into trials and, if needed, calculating (user-defined) descriptive statistics of variables for user-defined time bins (relative to trigger onsets) for each trial. When segmenting the data a baseline correction, a filter, and a data imputation can be applied if needed. Experimental data can also be processed and combined with the segmented force-plate data. This procedure is suggested by Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the options (e.g., choice of low-pass filter) are also suggested by Winter (2009) <doi:10.1002/9780470549148>.
Author: Raphae Hartmann [aut, cre] , Anton Koger [aut, ctb] , Leif Johannsen [ctb]
Maintainer: Raphae Hartmann <raphael.hartmann@protonmail.com>

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Package DrugExposureDiagnostics updated to version 1.0.3 with previous version 1.0.2 dated 2024-01-14

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Theresa Burkard [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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 DrugExposureDiagnostics-1.0.3/DrugExposureDiagnostics/R/mockDrugExposure.R                                |   94 +++---
 DrugExposureDiagnostics-1.0.3/DrugExposureDiagnostics/R/obscureCounts.R                                   |    4 
 DrugExposureDiagnostics-1.0.3/DrugExposureDiagnostics/R/utils.R                                           |   11 
 DrugExposureDiagnostics-1.0.3/DrugExposureDiagnostics/README.md                                           |   79 +++--
 DrugExposureDiagnostics-1.0.3/DrugExposureDiagnostics/inst/doc/IntroductionToDrugExposureDiagnostics.R    |    2 
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 DrugExposureDiagnostics-1.0.3/DrugExposureDiagnostics/inst/doc/SummaryOfChecks.R                          |   10 
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Package optimizeR updated to version 1.0.3 with previous version 1.0.2 dated 2024-01-14

Title: Unified Framework for Numerical Optimizers
Description: Provides a unified object-oriented framework for numerical optimizers in R. Allows for both minimization and maximization with any optimizer, optimization over more than one function argument, measuring of computation time, setting a time limit for long optimization tasks.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between optimizeR versions 1.0.2 dated 2024-01-14 and 1.0.3 dated 2024-01-31

 DESCRIPTION                                  |    6 
 MD5                                          |   28 +-
 NEWS.md                                      |   12 +
 R/backward_compatibility.R                   |   21 +
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 README.md                                    |    7 
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 man/new_optimizer.Rd                         |  190 ++++++++--------
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 tests/testthat/test-backward_compatibility.R |   25 +-
 tests/testthat/test-objective.R              |    4 
 tests/testthat/test-optimizer.R              |   32 ++
 15 files changed, 503 insertions(+), 399 deletions(-)

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Package sbm updated to version 0.4.6 with previous version 0.4.5 dated 2023-01-09

Title: Stochastic Blockmodels
Description: A collection of tools and functions to adjust a variety of stochastic blockmodels (SBM). Supports at the moment Simple, Bipartite, 'Multipartite' and Multiplex SBM (undirected or directed with Bernoulli, Poisson or Gaussian emission laws on the edges, and possibly covariate for Simple and Bipartite SBM). See Léger (2016) <arxiv:1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <arxiv:1807.10138>.
Author: Julien Chiquet [aut, cre] , Sophie Donnet [aut] , grossBM team [ctb], Pierre Barbillon [aut]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

Diff between sbm versions 0.4.5 dated 2023-01-09 and 0.4.6 dated 2024-01-31

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 46 files changed, 970 insertions(+), 1045 deletions(-)

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New package distrTEst with initial version 2.8.2
Package: distrTEst
Version: 2.8.2
Date: 2024-01-30
Title: Estimation and Testing Classes Based on Package 'distr'
Description: Evaluation (S4-)classes based on package distr for evaluating procedures (estimators/tests) at data/simulation in a unified way.
Depends: R(>= 3.4), methods, graphics, setRNG(>= 2006.2-1), distrSim(>= 2.2)
Imports: startupmsg, utils
Suggests: distrEx(>= 2.2)
ByteCompile: yes
Encoding: UTF-8
License: LGPL-3
URL: http://distr.r-forge.r-project.org/
LastChangedDate: {$LastChangedDate: 2024-01-30 19:44:56 +0100 (Di, 30 Jan 2024) $}
LastChangedRevision: {$LastChangedRevision: 1428 $}
VCS/SVNRevision: 1427
NeedsCompilation: no
Packaged: 2024-01-31 06:19:36 UTC; ruckdesc
Author: Florian Camphausen [ctb] , Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2024-01-31 10:20:05 UTC

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New package distrTeach with initial version 2.9.1
Package: distrTeach
Version: 2.9.1
Date: 2024-01-30
Title: Extensions of Package 'distr' for Teaching Stochastics/Statistics in Secondary School
Description: Provides flexible examples of LLN and CLT for teaching purposes in secondary school.
Depends: R(>= 3.4), methods, distr(>= 2.2), distrEx(>= 2.2)
Suggests: tcltk
Imports: startupmsg, grDevices, graphics, stats
ByteCompile: yes
License: LGPL-3
Encoding: UTF-8
URL: http://distr.r-forge.r-project.org/
Packaged: 2024-01-30 19:13:36 UTC; ruckdesc
LastChangedDate: {$LastChangedDate: 2024-01-30 20:10:15 +0100 (Di, 30 Jan 2024) $}
LastChangedRevision: {$LastChangedRevision: 1430 $}
VCS/SVNRevision: 1429
NeedsCompilation: no
Author: Eleonora Feist [ctb] , Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Anja Hueller [ctb]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2024-01-31 10:20:02 UTC

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New package distrEllipse with initial version 2.8.2
Package: distrEllipse
Version: 2.8.2
Date: 2024-01-30
Title: S4 Classes for Elliptically Contoured Distributions
Description: Distribution (S4-)classes for elliptically contoured distributions (based on package 'distr').
Depends: R(>= 3.4), methods, graphics, mvtnorm, setRNG(>= 2006.2-1), distr(>= 2.8.0), distrEx(>= 2.8.0), distrSim(>= 2.2)
Suggests: distrMod(>= 2.8.0), distrTEst(>= 2.2)
Imports: startupmsg, stats
ByteCompile: yes
License: LGPL-3
URL: http://distr.r-forge.r-project.org/
Encoding: UTF-8
LastChangedDate: {$LastChangedDate: 2024-01-28 19:23:25 +0100 (So, 28 Jan 2024) $}
LastChangedRevision: {$LastChangedRevision: 1424 $}
VCS/SVNRevision: 1427
NeedsCompilation: no
Packaged: 2024-01-30 18:37:18 UTC; ruckdesc
Author: Peter Ruckdeschel [aut, cre, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>
Repository: CRAN
Date/Publication: 2024-01-31 10:20:08 UTC

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Package MarketMatching updated to version 1.2.1 with previous version 1.2.0 dated 2021-01-08

Title: Market Matching and Causal Impact Inference
Description: For a given test market find the best control markets using time series matching and analyze the impact of an intervention. The intervention could be a marketing event or some other local business tactic that is being tested. The workflow implemented in the Market Matching package utilizes dynamic time warping (the 'dtw' package) to do the matching and the 'CausalImpact' package to analyze the causal impact. In fact, this package can be considered a "workflow wrapper" for those two packages. In addition, if you don't have a chosen set of test markets to match, the Market Matching package can provide suggested test/control market pairs and pseudo prospective power analysis (measuring causal impact at fake interventions).
Author: Larsen Kim [aut, cre]
Maintainer: Larsen Kim <kblarsen4@gmail.com>

Diff between MarketMatching versions 1.2.0 dated 2021-01-08 and 1.2.1 dated 2024-01-31

 DESCRIPTION                           |   13 
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 11 files changed, 741 insertions(+), 375 deletions(-)

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Package DRomics updated to version 2.5-2 with previous version 2.5-0 dated 2023-01-24

Title: Dose Response for Omics
Description: Several functions are provided for dose-response (or concentration-response) characterization from omics data. 'DRomics' is especially dedicated to omics data obtained using a typical dose-response design, favoring a great number of tested doses (or concentrations) rather than a great number of replicates (no need of replicates). 'DRomics' provides functions 1) to check, normalize and or transform data, 2) to select monotonic or biphasic significantly responding items (e.g. probes, metabolites), 3) to choose the best-fit model among a predefined family of monotonic and biphasic models to describe each selected item, 4) to derive a benchmark dose or concentration and a typology of response from each fitted curve. In the available version data are supposed to be single-channel microarray data in log2, RNAseq data in raw counts, or already pretreated continuous omics data (such as metabolomic data) in log scale. In order to link responses across biological levels based on a common method, [...truncated...]
Author: Marie-Laure Delignette-Muller [aut] , Elise Billoir [aut] , Floriane Larras [ctb], Aurelie Siberchicot [aut, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

Diff between DRomics versions 2.5-0 dated 2023-01-24 and 2.5-2 dated 2024-01-31

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 DRomics-2.5-2/DRomics/NEWS.md                                                |   25 
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 DRomics-2.5-2/DRomics/tests/examplewithRNAseq.R                              |    8 
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 DRomics-2.5-2/DRomics/tests/testAIC.R                                        |    2 
 DRomics-2.5-2/DRomics/tests/test_selectgroups.R                              |    6 
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Package coda updated to version 0.19-4.1 with previous version 0.19-4 dated 2020-09-30

Title: Output Analysis and Diagnostics for MCMC
Description: Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain.
Author: Martyn Plummer [aut, cre, trl], Nicky Best [aut], Kate Cowles [aut], Karen Vines [aut], Deepayan Sarkar [aut], Douglas Bates [aut], Russell Almond [aut], Arni Magnusson [aut]
Maintainer: Martyn Plummer <martyn.plummer@gmail.com>

Diff between coda versions 0.19-4 dated 2020-09-30 and 0.19-4.1 dated 2024-01-31

 DESCRIPTION |    6 +-
 MD5         |    8 +-
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 R/output.R  |  166 ++++++++++++++++++++++++++++++------------------------------
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 5 files changed, 171 insertions(+), 167 deletions(-)

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New package censored with initial version 0.3.0
Package: censored
Title: 'parsnip' Engines for Survival Models
Version: 0.3.0
Description: Engines for survival models from the 'parsnip' package. These include parametric models (e.g., Jackson (2016) <doi:10.18637/jss.v070.i08>), semi-parametric (e.g., Simon et al (2011) <doi:10.18637/jss.v039.i05>), and tree-based models (e.g., Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>).
License: MIT + file LICENSE
URL: https://github.com/tidymodels/censored, https://censored.tidymodels.org
BugReports: https://github.com/tidymodels/censored/issues
Depends: parsnip (>= 1.1.0), R (>= 3.5.0), survival (>= 3.3-1)
Imports: cli, dials, dplyr (>= 0.8.0.1), generics, glue, hardhat (>= 1.1.0), lifecycle, mboost, prettyunits, prodlim (>= 2023.03.31), purrr, rlang (>= 1.0.0), stats, tibble (>= 3.1.3), tidyr (>= 1.0.0)
Suggests: aorsf (>= 0.1.2), coin, covr, flexsurv (>= 2.2.1), glmnet (>= 4.1), ipred, partykit, pec, rmarkdown, rpart, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-01-27 21:42:28 UTC; hannah
Author: Emil Hvitfeldt [aut] , Hannah Frick [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>
Repository: CRAN
Date/Publication: 2024-01-31 09:50:03 UTC

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Package webmap updated to version 1.0.7 with previous version 1.0.3 dated 2023-09-01

Title: Create Interactive Web Maps Using 'The National Map' Services
Description: Creates interactive web maps using the 'JavaScript' 'Leaflet' library with base layers of 'The National Map' ('TNM'). 'TNM' services provide access to base geospatial information that describes the landscape of the United States and its territories. This package is dependent on, and intended to be used with, the 'leaflet' package.
Author: Jason C. Fisher [aut, cre] , Stefano Cudini [ctb, cph] , John Firebaugh [ctb, cph]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between webmap versions 1.0.3 dated 2023-09-01 and 1.0.7 dated 2024-01-31

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Package MultiStatM updated to version 1.2.1 with previous version 1.2.0 dated 2023-06-12

Title: Multivariate Statistical Methods
Description: Algorithms to build set partitions and commutator matrices and their use in the construction of multivariate d-Hermite polynomials; estimation and derivation of theoretical vector moments and vector cumulants of multivariate distributions; conversion formulae for multivariate moments and cumulants. Applications to estimation and derivation of multivariate measures of skewness and kurtosis; estimation and derivation of asymptotic covariances for d-variate Hermite polynomials, multivariate moments and cumulants and measures of skewness and kurtosis. The formulae implemented are discussed in Terdik (2021, ISBN:9783030813925), "Multivariate Statistical Methods".
Author: Gyorgy Terdik [aut], Emanuele Taufer [aut, cre]
Maintainer: Emanuele Taufer <emanuele.taufer@unitn.it>

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Package KnapsackSampling updated to version 0.1.1 with previous version 0.1.0 dated 2016-10-16

Title: Generate Feasible Samples of a Knapsack Problem
Description: The sampl.mcmc function creates samples of the feasible region of a knapsack problem with both equalities and inequalities constraints.
Author: Chin Soon Lim [aut]
Maintainer: Chin Soon Lim <chinsoon12@hotmail.com>

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Package GBJ updated to version 0.5.4 with previous version 0.5.3 dated 2020-01-13

Title: Generalized Berk-Jones Test for Set-Based Inference in Genetic Association Studies
Description: Offers the Generalized Berk-Jones (GBJ) test for set-based inference in genetic association studies. The GBJ is designed as an alternative to tests such as Berk-Jones (BJ), Higher Criticism (HC), Generalized Higher Criticism (GHC), Minimum p-value (minP), and Sequence Kernel Association Test (SKAT). All of these other methods (except for SKAT) are also implemented in this package, and we additionally provide an omnibus test (OMNI) which integrates information from each of the tests. The GBJ has been shown to outperform other tests in genetic association studies when signals are correlated and moderately sparse. Please see the vignette for a quickstart guide or Sun and Lin (2017) <arXiv:1710.02469> for more details.
Author: Ryan Sun [aut, cre]
Maintainer: Ryan Sun <ryansun.work@gmail.com>

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Package cchs updated to version 0.4.4 with previous version 0.4.3 dated 2024-01-29

Title: Cox Model for Case-Cohort Data with Stratified Subcohort-Selection
Description: Contains a function, also called 'cchs', that calculates Estimator III of Borgan et al (2000), <DOI:10.1023/A:1009661900674>. This estimator is for fitting a Cox proportional hazards model to data from a case-cohort study where the subcohort was selected by stratified simple random sampling.
Author: E. Jones
Maintainer: E. Jones <edmundjones79@gmail.com>

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Package pscl updated to version 1.5.9 with previous version 1.5.5.1 dated 2023-05-10

Title: Political Science Computational Laboratory
Description: Bayesian analysis of item-response theory (IRT) models, roll call analysis; computing highest density regions; maximum likelihood estimation of zero-inflated and hurdle models for count data; goodness-of-fit measures for GLMs; data sets used in writing and teaching; seats-votes curves.
Author: Simon Jackman [aut, cre] , Alex Tahk [ctb] , Achim Zeileis [ctb] , Christina Maimone [ctb] , James Fearon [ctb], Zoe Meers [ctb]
Maintainer: Simon Jackman <simon.jackman@sydney.edu.au>

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Package luajr (with last version 0.1.2) was removed from CRAN

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

2024-01-27 0.1.2

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Package nlmixr2est updated to version 2.2.1 with previous version 2.2.0 dated 2023-12-12

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package filesstrings updated to version 3.3.0 with previous version 3.2.4 dated 2023-01-25

Title: Handy File and String Manipulation
Description: This started out as a package for file and string manipulation. Since then, the 'fs' and 'strex' packages emerged, offering functionality previously given by this package (but it's done better in these new ones). Those packages have hence almost pushed 'filesstrings' into extinction. However, it still has a small number of unique, handy file manipulation functions which can be seen in the vignette. One example is a function to remove spaces from all file names in a directory.
Author: Rory Nolan [aut, cre, cph] , Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package easyDifferentialGeneCoexpression (with last version 1.0) was removed from CRAN

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

2022-02-16 1.0
2021-12-08 0.9
2021-12-03 0.8
2021-12-02 0.7

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