Thu, 30 Sep 2021

Package tidytext updated to version 0.3.2 with previous version 0.3.1 dated 2021-04-10

Title: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Description: Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Author: Gabriela De Queiroz [ctb], Colin Fay [ctb] (<https://orcid.org/0000-0001-7343-1846>), Emil Hvitfeldt [ctb], Os Keyes [ctb] (<https://orcid.org/0000-0001-5196-609X>), Kanishka Misra [ctb], Tim Mastny [ctb], Jeff Erickson [ctb], David Robinson [aut], Julia Silge [aut, cre] (<https://orcid.org/0000-0002-3671-836X>)
Maintainer: Julia Silge <julia.silge@gmail.com>

Diff between tidytext versions 0.3.1 dated 2021-04-10 and 0.3.2 dated 2021-09-30

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Package OptM updated to version 0.1.6 with previous version 0.1.5 dated 2021-07-27

Title: Estimating the Optimal Number of Migration Edges from 'Treemix'
Description: The popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
Author: Robert Fitak [aut, cre]
Maintainer: Robert Fitak <rfitak9@gmail.com>

Diff between OptM versions 0.1.5 dated 2021-07-27 and 0.1.6 dated 2021-09-30

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Package eff2 updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-21

Title: Efficient Least Squares for Total Causal Effects
Description: Estimate a total causal effect from observational data under linearity and causal sufficiency. The observational data is supposed to be generated from a linear structural equation model (SEM) with independent and additive noise. The underlying causal DAG associated the SEM is required to be known up to a maximally oriented partially directed graph (MPDAG), which is a general class of graphs consisting of both directed and undirected edges, including CPDAGs (i.e., essential graphs) and DAGs. Such graphs are usually obtained with structure learning algorithms with added background knowledge. The program is able to estimate every identified effect, including single and multiple treatment variables. Moreover, the resulting estimate has the minimal asymptotic covariance (and hence shortest confidence intervals) among all estimators that are based on the sample covariance.
Author: Richard Guo [aut, cre] (<https://orcid.org/0000-0002-2081-7398>)
Maintainer: Richard Guo <ricguo@uw.edu>

Diff between eff2 versions 1.0.0 dated 2021-05-21 and 1.0.1 dated 2021-09-30

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Package diffviewer updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-10

Title: HTML Widget to Show File Differences
Description: A HTML widget that shows differences between files (text, images, and data frames).
Author: Hadley Wickham [aut, cre], Joshua Kunst [aut], Winston Chang [aut], RStudio [cph, fnd], Paul Fitzpatrick [cph] (Author of included daff.js library), Rodrigo Fernandes [cph] (Author of included diff2html library), JQuery Foundation [cph] (Author of included jquery library), Kevin Decker [cph] (Author of included jsdiff library), Matthew Holt [cph] (Author of incldued PapaParse library), Huddle [cph] (Author of included resemble library)
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between diffviewer versions 0.1.0 dated 2020-09-10 and 0.1.1 dated 2021-09-30

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Package misty updated to version 0.4.3 with previous version 0.4.2 dated 2021-08-19

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for descriptive statistics (e.g., frequency table, cross tabulation, multilevel descriptive statistics, within-group and between-group correlation matrix, coefficient alpha and omega, and various effect size measures), missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), data management (e.g., grand-mean and group-mean centering, recode variables and reverse code items, scale and group scores, reading and writing SPSS and Excel files), and statistical analysis (e.g., confidence intervals, collinearity diagnostics, Levene's test, t-test, z-test, and sample size determination).
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.4.2 dated 2021-08-19 and 0.4.3 dated 2021-09-30

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Package keras updated to version 2.6.1 with previous version 2.6.0 dated 2021-08-21

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Author: Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski@rstudio.com>

Diff between keras versions 2.6.0 dated 2021-08-21 and 2.6.1 dated 2021-09-30

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Package SMARTbayesR updated to version 2.0.0 with previous version 1.0.2 dated 2021-04-03

Title: Bayesian Set of Best Dynamic Treatment Regimes and Sample Size in SMARTs for Binary Outcomes
Description: Permits determination of a set of optimal dynamic treatment regimes and sample size for a SMART design in the Bayesian setting with binary outcomes. Please see Artman (2020) <arXiv:2008.02341>.
Author: William Artman [aut, cre]
Maintainer: William Artman <William_Artman@URMC.Rochester.edu>

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Package SFSI updated to version 1.0.0 with previous version 0.4.0 dated 2021-05-15

Title: Sparse Family and Selection Index
Description: Here we provide tools for the estimation of coefficients in penalized regressions when the (co)variance matrix of predictors and the covariance vector between predictors and response, are provided. These methods are extended to the context of a Selection Index (commonly used for breeding value prediction). The approaches offer opportunities such as the integration of high-throughput traits in genetic evaluations ('Lopez-Cruz et al., 2020') <doi:10.1038/s41598-020-65011-2> and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') <doi:10.1093/genetics/iyab030>.
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [ctb]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>

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Package cmstatr updated to version 0.9.1 with previous version 0.9.0 dated 2021-07-01

Title: Statistical Methods for Composite Material Data
Description: An implementation of the statistical methods commonly used for advanced composite materials in aerospace applications. This package focuses on calculating basis values (lower tolerance bounds) for material strength properties, as well as performing the associated diagnostic tests. This package provides functions for calculating basis values assuming several different distributions, as well as providing functions for non-parametric methods of computing basis values. Functions are also provided for testing the hypothesis that there is no difference between strength and modulus data from an alternate sample and that from a "qualification" or "baseline" sample. For a discussion of these statistical methods and their use, see the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4). Additional details about this package are available in the paper by Kloppenborg (2020, <doi:10.21105/joss.02265>).
Author: Stefan Kloppenborg [aut, cre], Billy Cheng [ctb], Ally Fraser [ctb], Comtek Advanced Structures, Ltd. [fnd]
Maintainer: Stefan Kloppenborg <stefan@kloppenborg.ca>

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Package SpaDES.core updated to version 1.0.9 with previous version 1.0.8 dated 2021-06-10

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system (DES) to implement a complete data-to-decisions, reproducible workflow. The core DES components facilitate modularity, and easily enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the DES project.
Author: Alex M Chubaty [aut, cre] (<https://orcid.org/0000-0001-7146-8135>), Eliot J B McIntire [aut] (<https://orcid.org/0000-0002-6914-8316>), Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] (<https://orcid.org/0000-0003-4036-977X>), Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <alex.chubaty@gmail.com>

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Package rAmCharts4 updated to version 1.4.1 with previous version 1.4.0 dated 2021-09-11

Title: Interface to the JavaScript Library 'amCharts 4'
Description: Creates JavaScript charts. The charts can be included in 'Shiny' apps and R markdown documents, or viewed from the R console and 'RStudio' viewer. Based on the JavaScript library 'amCharts 4' and the R packages 'htmlwidgets' and 'reactR'. Currently available types of chart are: vertical and horizontal bar chart, radial bar chart, stacked bar chart, vertical and horizontal Dumbbell chart, line chart, scatter chart, range area chart, gauge chart, boxplot chart, pie chart, and 100% stacked bar chart.
Author: Stéphane Laurent [aut, cre], Antanas Marcelionis [ctb, cph] ('amCharts' library (https://www.amcharts.com/)), Terence Eden [ctb, cph] ('SuperTinyIcons' library (https://github.com/edent/SuperTinyIcons/)), Tom Alexander [ctb, cph] ('regression-js' library (https://github.com/Tom-Alexander/regression-js))
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>

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Package ClustGeo updated to version 2.1 with previous version 2.0 dated 2017-07-14

Title: Hierarchical Clustering with Spatial Constraints
Description: Implements a Ward-like hierarchical clustering algorithm including soft spatial/geographical constraints.
Author: Marie Chavent [aut, cre], Vanessa Kuentz [aut], Amaury Labenne [aut], Jerome Saracco [aut]
Maintainer: Marie Chavent <Marie.Chavent@u-bordeaux.fr>

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Package aplpack updated to version 1.3.5 with previous version 1.3.3 dated 2019-07-29

Title: Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots', Slider Functions and Others
Description: Some functions for drawing some special plots: The function 'bagplot' plots a bagplot, 'faces' plots chernoff faces, 'iconplot' plots a representation of a frequency table or a data matrix, 'plothulls' plots hulls of a bivariate data set, 'plotsummary' plots a graphical summary of a data set, 'puticon' adds icons to a plot, 'skyline.hist' combines several histograms of a one dimensional data set in one plot, 'slider' functions supports some interactive graphics, 'spin3R' helps an inspection of a 3-dim point cloud, 'stem.leaf' plots a stem and leaf plot, 'stem.leaf.backback' plots back-to-back versions of stem and leaf plot.
Author: Hans Peter Wolf [aut, cre]
Maintainer: Hans Peter Wolf <pwolf@wiwi.uni-bielefeld.de>

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Package sdcTable updated to version 0.32.1 with previous version 0.32.0 dated 2021-08-06

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

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Package RcppArmadillo updated to version 0.10.7.0.0 with previous version 0.10.6.0.0 dated 2021-07-16

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Armadillo requires a C++11 compiler.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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 inst/include/armadillo_bits/SpSubview_col_list_meat.hpp              |    2 
 inst/include/armadillo_bits/SpSubview_iterators_meat.hpp             |    2 
 inst/include/armadillo_bits/SpSubview_meat.hpp                       |    8 
 inst/include/armadillo_bits/SpToDOp_bones.hpp                        |    4 
 inst/include/armadillo_bits/SpToDOp_meat.hpp                         |    2 
 inst/include/armadillo_bits/SpValProxy_bones.hpp                     |    2 
 inst/include/armadillo_bits/SpValProxy_meat.hpp                      |    2 
 inst/include/armadillo_bits/access.hpp                               |    2 
 inst/include/armadillo_bits/arma_cmath.hpp                           |    2 
 inst/include/armadillo_bits/arma_config.hpp                          |    2 
 inst/include/armadillo_bits/arma_forward.hpp                         |    9 
 inst/include/armadillo_bits/arma_ostream_bones.hpp                   |    2 
 inst/include/armadillo_bits/arma_ostream_meat.hpp                    |    6 
 inst/include/armadillo_bits/arma_rel_comparators.hpp                 |   56 
 inst/include/armadillo_bits/arma_rng.hpp                             |    2 
 inst/include/armadillo_bits/arma_rng_cxx11.hpp                       |    2 
 inst/include/armadillo_bits/arma_rng_cxx98.hpp                       |    2 
 inst/include/armadillo_bits/arma_static_check.hpp                    |    2 
 inst/include/armadillo_bits/arma_str.hpp                             |    2 
 inst/include/armadillo_bits/arma_version.hpp                         |    6 
 inst/include/armadillo_bits/arrayops_bones.hpp                       |    2 
 inst/include/armadillo_bits/arrayops_meat.hpp                        |    2 
 inst/include/armadillo_bits/auxlib_bones.hpp                         |    2 
 inst/include/armadillo_bits/auxlib_meat.hpp                          |    2 
 inst/include/armadillo_bits/band_helper.hpp                          |    2 
 inst/include/armadillo_bits/compiler_check.hpp                       |   24 
 inst/include/armadillo_bits/compiler_setup.hpp                       |    7 
 inst/include/armadillo_bits/compiler_setup_post.hpp                  |    2 
 inst/include/armadillo_bits/cond_rel_bones.hpp                       |    2 
 inst/include/armadillo_bits/cond_rel_meat.hpp                        |    2 
 inst/include/armadillo_bits/config.hpp                               |    2 
 inst/include/armadillo_bits/constants.hpp                            |    2 
 inst/include/armadillo_bits/constants_old.hpp                        |    2 
 inst/include/armadillo_bits/csv_name.hpp                             |    2 
 inst/include/armadillo_bits/debug.hpp                                |    5 
 inst/include/armadillo_bits/def_arpack.hpp                           |    2 
 inst/include/armadillo_bits/def_atlas.hpp                            |    2 
 inst/include/armadillo_bits/def_blas.hpp                             |    2 
 inst/include/armadillo_bits/def_hdf5.hpp                             |    2 
 inst/include/armadillo_bits/def_lapack.hpp                           |    2 
 inst/include/armadillo_bits/def_superlu.hpp                          |    2 
 inst/include/armadillo_bits/diagmat_proxy.hpp                        |   14 
 inst/include/armadillo_bits/diagview_bones.hpp                       |    6 
 inst/include/armadillo_bits/diagview_meat.hpp                        |   32 
 inst/include/armadillo_bits/diskio_bones.hpp                         |    2 
 inst/include/armadillo_bits/diskio_meat.hpp                          |   14 
 inst/include/armadillo_bits/distr_param.hpp                          |    2 
 inst/include/armadillo_bits/eGlueCube_bones.hpp                      |    2 
 inst/include/armadillo_bits/eGlueCube_meat.hpp                       |    2 
 inst/include/armadillo_bits/eGlue_bones.hpp                          |    2 
 inst/include/armadillo_bits/eGlue_meat.hpp                           |    2 
 inst/include/armadillo_bits/eOpCube_bones.hpp                        |    2 
 inst/include/armadillo_bits/eOpCube_meat.hpp                         |    2 
 inst/include/armadillo_bits/eOp_bones.hpp                            |    2 
 inst/include/armadillo_bits/eOp_meat.hpp                             |    2 
 inst/include/armadillo_bits/eglue_core_bones.hpp                     |    2 
 inst/include/armadillo_bits/eglue_core_meat.hpp                      |    2 
 inst/include/armadillo_bits/eop_aux.hpp                              |    2 
 inst/include/armadillo_bits/eop_core_bones.hpp                       |    2 
 inst/include/armadillo_bits/eop_core_meat.hpp                        |    2 
 inst/include/armadillo_bits/fft_engine.hpp                           |    3 
 inst/include/armadillo_bits/field_bones.hpp                          |    2 
 inst/include/armadillo_bits/field_meat.hpp                           |   12 
 inst/include/armadillo_bits/fill.hpp                                 |    2 
 inst/include/armadillo_bits/fn_accu.hpp                              |    4 
 inst/include/armadillo_bits/fn_all.hpp                               |    2 
 inst/include/armadillo_bits/fn_any.hpp                               |    2 
 inst/include/armadillo_bits/fn_approx_equal.hpp                      |    2 
 inst/include/armadillo_bits/fn_as_scalar.hpp                         |    2 
 inst/include/armadillo_bits/fn_chi2rnd.hpp                           |    2 
 inst/include/armadillo_bits/fn_chol.hpp                              |    2 
 inst/include/armadillo_bits/fn_clamp.hpp                             |    2 
 inst/include/armadillo_bits/fn_cond.hpp                              |    2 
 inst/include/armadillo_bits/fn_conv.hpp                              |    2 
 inst/include/armadillo_bits/fn_conv_to.hpp                           |    2 
 inst/include/armadillo_bits/fn_cor.hpp                               |    2 
 inst/include/armadillo_bits/fn_cov.hpp                               |    2 
 inst/include/armadillo_bits/fn_cross.hpp                             |    2 
 inst/include/armadillo_bits/fn_cumprod.hpp                           |    2 
 inst/include/armadillo_bits/fn_cumsum.hpp                            |    2 
 inst/include/armadillo_bits/fn_det.hpp                               |    2 
 inst/include/armadillo_bits/fn_diagmat.hpp                           |    4 
 inst/include/armadillo_bits/fn_diagvec.hpp                           |    2 
 inst/include/armadillo_bits/fn_diff.hpp                              |    2 
 inst/include/armadillo_bits/fn_dot.hpp                               |    2 
 inst/include/armadillo_bits/fn_eig_gen.hpp                           |    2 
 inst/include/armadillo_bits/fn_eig_pair.hpp                          |    2 
 inst/include/armadillo_bits/fn_eig_sym.hpp                           |    2 
 inst/include/armadillo_bits/fn_eigs_gen.hpp                          |    2 
 inst/include/armadillo_bits/fn_eigs_sym.hpp                          |    2 
 inst/include/armadillo_bits/fn_elem.hpp                              |    2 
 inst/include/armadillo_bits/fn_eps.hpp                               |    2 
 inst/include/armadillo_bits/fn_expmat.hpp                            |    2 
 inst/include/armadillo_bits/fn_eye.hpp                               |    2 
 inst/include/armadillo_bits/fn_fft.hpp                               |    2 
 inst/include/armadillo_bits/fn_fft2.hpp                              |    2 
 inst/include/armadillo_bits/fn_find.hpp                              |    2 
 inst/include/armadillo_bits/fn_find_unique.hpp                       |    2 
 inst/include/armadillo_bits/fn_flip.hpp                              |    2 
 inst/include/armadillo_bits/fn_hess.hpp                              |    2 
 inst/include/armadillo_bits/fn_hist.hpp                              |    2 
 inst/include/armadillo_bits/fn_histc.hpp                             |    2 
 inst/include/armadillo_bits/fn_index_max.hpp                         |    2 
 inst/include/armadillo_bits/fn_index_min.hpp                         |    2 
 inst/include/armadillo_bits/fn_inplace_strans.hpp                    |    2 
 inst/include/armadillo_bits/fn_inplace_trans.hpp                     |    2 
 inst/include/armadillo_bits/fn_interp1.hpp                           |    2 
 inst/include/armadillo_bits/fn_interp2.hpp                           |    2 
 inst/include/armadillo_bits/fn_intersect.hpp                         |    2 
 inst/include/armadillo_bits/fn_inv.hpp                               |    2 
 inst/include/armadillo_bits/fn_join.hpp                              |    2 
 inst/include/armadillo_bits/fn_kmeans.hpp                            |    2 
 inst/include/armadillo_bits/fn_kron.hpp                              |    2 
 inst/include/armadillo_bits/fn_log_det.hpp                           |    2 
 inst/include/armadillo_bits/fn_log_normpdf.hpp                       |    2 
 inst/include/armadillo_bits/fn_logmat.hpp                            |    2 
 inst/include/armadillo_bits/fn_lu.hpp                                |    2 
 inst/include/armadillo_bits/fn_max.hpp                               |    2 
 inst/include/armadillo_bits/fn_mean.hpp                              |    2 
 inst/include/armadillo_bits/fn_median.hpp                            |    2 
 inst/include/armadillo_bits/fn_min.hpp                               |    2 
 inst/include/armadillo_bits/fn_misc.hpp                              |    2 
 inst/include/armadillo_bits/fn_mvnrnd.hpp                            |    2 
 inst/include/armadillo_bits/fn_n_unique.hpp                          |    2 
 inst/include/armadillo_bits/fn_nonzeros.hpp                          |    2 
 inst/include/armadillo_bits/fn_norm.hpp                              |    2 
 inst/include/armadillo_bits/fn_normalise.hpp                         |    2 
 inst/include/armadillo_bits/fn_normcdf.hpp                           |    2 
 inst/include/armadillo_bits/fn_normpdf.hpp                           |    2 
 inst/include/armadillo_bits/fn_numel.hpp                             |    2 
 inst/include/armadillo_bits/fn_ones.hpp                              |    2 
 inst/include/armadillo_bits/fn_orth_null.hpp                         |    2 
 inst/include/armadillo_bits/fn_pinv.hpp                              |    2 
 inst/include/armadillo_bits/fn_polyfit.hpp                           |    2 
 inst/include/armadillo_bits/fn_polyval.hpp                           |    2 
 inst/include/armadillo_bits/fn_powmat.hpp                            |    2 
 inst/include/armadillo_bits/fn_princomp.hpp                          |    2 
 inst/include/armadillo_bits/fn_prod.hpp                              |    6 
 inst/include/armadillo_bits/fn_qr.hpp                                |    2 
 inst/include/armadillo_bits/fn_quantile.hpp                          |    2 
 inst/include/armadillo_bits/fn_qz.hpp                                |    2 
 inst/include/armadillo_bits/fn_randg.hpp                             |    2 
 inst/include/armadillo_bits/fn_randi.hpp                             |    2 
 inst/include/armadillo_bits/fn_randn.hpp                             |    2 
 inst/include/armadillo_bits/fn_randperm.hpp                          |    2 
 inst/include/armadillo_bits/fn_randu.hpp                             |    2 
 inst/include/armadillo_bits/fn_range.hpp                             |    2 
 inst/include/armadillo_bits/fn_rank.hpp                              |    2 
 inst/include/armadillo_bits/fn_regspace.hpp                          |    2 
 inst/include/armadillo_bits/fn_repelem.hpp                           |    2 
 inst/include/armadillo_bits/fn_repmat.hpp                            |    2 
 inst/include/armadillo_bits/fn_reshape.hpp                           |    2 
 inst/include/armadillo_bits/fn_resize.hpp                            |    2 
 inst/include/armadillo_bits/fn_reverse.hpp                           |    2 
 inst/include/armadillo_bits/fn_roots.hpp                             |    2 
 inst/include/armadillo_bits/fn_schur.hpp                             |    2 
 inst/include/armadillo_bits/fn_shift.hpp                             |    2 
 inst/include/armadillo_bits/fn_shuffle.hpp                           |    2 
 inst/include/armadillo_bits/fn_size.hpp                              |    2 
 inst/include/armadillo_bits/fn_solve.hpp                             |    2 
 inst/include/armadillo_bits/fn_sort.hpp                              |    2 
 inst/include/armadillo_bits/fn_sort_index.hpp                        |    2 
 inst/include/armadillo_bits/fn_speye.hpp                             |    2 
 inst/include/armadillo_bits/fn_spones.hpp                            |    2 
 inst/include/armadillo_bits/fn_sprandn.hpp                           |    2 
 inst/include/armadillo_bits/fn_sprandu.hpp                           |    2 
 inst/include/armadillo_bits/fn_spsolve.hpp                           |    4 
 inst/include/armadillo_bits/fn_sqrtmat.hpp                           |    2 
 inst/include/armadillo_bits/fn_stddev.hpp                            |    2 
 inst/include/armadillo_bits/fn_strans.hpp                            |    2 
 inst/include/armadillo_bits/fn_sum.hpp                               |    2 
 inst/include/armadillo_bits/fn_svd.hpp                               |    2 
 inst/include/armadillo_bits/fn_svds.hpp                              |    2 
 inst/include/armadillo_bits/fn_sylvester.hpp                         |    2 
 inst/include/armadillo_bits/fn_symmat.hpp                            |    2 
 inst/include/armadillo_bits/fn_toeplitz.hpp                          |    2 
 inst/include/armadillo_bits/fn_trace.hpp                             |    2 
 inst/include/armadillo_bits/fn_trans.hpp                             |    2 
 inst/include/armadillo_bits/fn_trapz.hpp                             |    2 
 inst/include/armadillo_bits/fn_trig.hpp                              |    2 
 inst/include/armadillo_bits/fn_trimat.hpp                            |    2 
 inst/include/armadillo_bits/fn_trimat_ind.hpp                        |    2 
 inst/include/armadillo_bits/fn_trunc_exp.hpp                         |    2 
 inst/include/armadillo_bits/fn_trunc_log.hpp                         |    2 
 inst/include/armadillo_bits/fn_unique.hpp                            |    2 
 inst/include/armadillo_bits/fn_var.hpp                               |    2 
 inst/include/armadillo_bits/fn_vectorise.hpp                         |    2 
 inst/include/armadillo_bits/fn_wishrnd.hpp                           |    2 
 inst/include/armadillo_bits/fn_zeros.hpp                             |    2 
 inst/include/armadillo_bits/glue_affmul_bones.hpp                    |    2 
 inst/include/armadillo_bits/glue_affmul_meat.hpp                     |    2 
 inst/include/armadillo_bits/glue_atan2_bones.hpp                     |    2 
 inst/include/armadillo_bits/glue_atan2_meat.hpp                      |    2 
 inst/include/armadillo_bits/glue_conv_bones.hpp                      |    2 
 inst/include/armadillo_bits/glue_conv_meat.hpp                       |    2 
 inst/include/armadillo_bits/glue_cor_bones.hpp                       |    2 
 inst/include/armadillo_bits/glue_cor_meat.hpp                        |    2 
 inst/include/armadillo_bits/glue_cov_bones.hpp                       |    2 
 inst/include/armadillo_bits/glue_cov_meat.hpp                        |    2 
 inst/include/armadillo_bits/glue_cross_bones.hpp                     |    2 
 inst/include/armadillo_bits/glue_cross_meat.hpp                      |    2 
 inst/include/armadillo_bits/glue_hist_bones.hpp                      |    2 
 inst/include/armadillo_bits/glue_hist_meat.hpp                       |    2 
 inst/include/armadillo_bits/glue_histc_bones.hpp                     |    2 
 inst/include/armadillo_bits/glue_histc_meat.hpp                      |    2 
 inst/include/armadillo_bits/glue_hypot_bones.hpp                     |    2 
 inst/include/armadillo_bits/glue_hypot_meat.hpp                      |    2 
 inst/include/armadillo_bits/glue_intersect_bones.hpp                 |    2 
 inst/include/armadillo_bits/glue_intersect_meat.hpp                  |    2 
 inst/include/armadillo_bits/glue_join_bones.hpp                      |    2 
 inst/include/armadillo_bits/glue_join_meat.hpp                       |    2 
 inst/include/armadillo_bits/glue_kron_bones.hpp                      |    2 
 inst/include/armadillo_bits/glue_kron_meat.hpp                       |    2 
 inst/include/armadillo_bits/glue_max_bones.hpp                       |   10 
 inst/include/armadillo_bits/glue_max_meat.hpp                        |  120 
 inst/include/armadillo_bits/glue_min_bones.hpp                       |   10 
 inst/include/armadillo_bits/glue_min_meat.hpp                        |  120 
 inst/include/armadillo_bits/glue_mixed_bones.hpp                     |    2 
 inst/include/armadillo_bits/glue_mixed_meat.hpp                      |    2 
 inst/include/armadillo_bits/glue_mvnrnd_bones.hpp                    |    2 
 inst/include/armadillo_bits/glue_mvnrnd_meat.hpp                     |    2 
 inst/include/armadillo_bits/glue_polyfit_bones.hpp                   |    2 
 inst/include/armadillo_bits/glue_polyfit_meat.hpp                    |    2 
 inst/include/armadillo_bits/glue_polyval_bones.hpp                   |    2 
 inst/include/armadillo_bits/glue_polyval_meat.hpp                    |    2 
 inst/include/armadillo_bits/glue_quantile_bones.hpp                  |    2 
 inst/include/armadillo_bits/glue_quantile_meat.hpp                   |    2 
 inst/include/armadillo_bits/glue_relational_bones.hpp                |    2 
 inst/include/armadillo_bits/glue_relational_meat.hpp                 |    2 
 inst/include/armadillo_bits/glue_solve_bones.hpp                     |    5 
 inst/include/armadillo_bits/glue_solve_meat.hpp                      |   34 
 inst/include/armadillo_bits/glue_times_bones.hpp                     |    4 
 inst/include/armadillo_bits/glue_times_meat.hpp                      |    2 
 inst/include/armadillo_bits/glue_toeplitz_bones.hpp                  |    2 
 inst/include/armadillo_bits/glue_toeplitz_meat.hpp                   |    2 
 inst/include/armadillo_bits/glue_trapz_bones.hpp                     |    2 
 inst/include/armadillo_bits/glue_trapz_meat.hpp                      |    2 
 inst/include/armadillo_bits/gmm_diag_bones.hpp                       |    2 
 inst/include/armadillo_bits/gmm_diag_meat.hpp                        |    2 
 inst/include/armadillo_bits/gmm_full_bones.hpp                       |    2 
 inst/include/armadillo_bits/gmm_full_meat.hpp                        |    2 
 inst/include/armadillo_bits/gmm_misc_bones.hpp                       |    2 
 inst/include/armadillo_bits/gmm_misc_meat.hpp                        |    2 
 inst/include/armadillo_bits/hdf5_misc.hpp                            |    2 
 inst/include/armadillo_bits/hdf5_name.hpp                            |    2 
 inst/include/armadillo_bits/include_atlas.hpp                        |    2 
 inst/include/armadillo_bits/include_hdf5.hpp                         |    2 
 inst/include/armadillo_bits/include_superlu.hpp                      |    2 
 inst/include/armadillo_bits/injector_bones.hpp                       |    2 
 inst/include/armadillo_bits/injector_meat.hpp                        |    4 
 inst/include/armadillo_bits/memory.hpp                               |    2 
 inst/include/armadillo_bits/mp_misc.hpp                              |    2 
 inst/include/armadillo_bits/mtGlueCube_bones.hpp                     |    2 
 inst/include/armadillo_bits/mtGlueCube_meat.hpp                      |    2 
 inst/include/armadillo_bits/mtGlue_bones.hpp                         |    2 
 inst/include/armadillo_bits/mtGlue_meat.hpp                          |    2 
 inst/include/armadillo_bits/mtOpCube_bones.hpp                       |    2 
 inst/include/armadillo_bits/mtOpCube_meat.hpp                        |    2 
 inst/include/armadillo_bits/mtOp_bones.hpp                           |    2 
 inst/include/armadillo_bits/mtOp_meat.hpp                            |    2 
 inst/include/armadillo_bits/mtSpGlue_bones.hpp                       |    2 
 inst/include/armadillo_bits/mtSpGlue_meat.hpp                        |    2 
 inst/include/armadillo_bits/mtSpOp_bones.hpp                         |    2 
 inst/include/armadillo_bits/mtSpOp_meat.hpp                          |    2 
 inst/include/armadillo_bits/mul_gemm.hpp                             |    4 
 inst/include/armadillo_bits/mul_gemm_mixed.hpp                       |    4 
 inst/include/armadillo_bits/mul_gemv.hpp                             |    6 
 inst/include/armadillo_bits/mul_herk.hpp                             |    2 
 inst/include/armadillo_bits/mul_syrk.hpp                             |    2 
 inst/include/armadillo_bits/newarp_DenseGenMatProd_bones.hpp         |    2 
 inst/include/armadillo_bits/newarp_DenseGenMatProd_meat.hpp          |    2 
 inst/include/armadillo_bits/newarp_DoubleShiftQR_bones.hpp           |    2 
 inst/include/armadillo_bits/newarp_DoubleShiftQR_meat.hpp            |    2 
 inst/include/armadillo_bits/newarp_EigsSelect.hpp                    |    2 
 inst/include/armadillo_bits/newarp_GenEigsSolver_bones.hpp           |    6 
 inst/include/armadillo_bits/newarp_GenEigsSolver_meat.hpp            |    2 
 inst/include/armadillo_bits/newarp_SortEigenvalue.hpp                |    2 
 inst/include/armadillo_bits/newarp_SparseGenMatProd_bones.hpp        |    2 
 inst/include/armadillo_bits/newarp_SparseGenMatProd_meat.hpp         |    2 
 inst/include/armadillo_bits/newarp_SparseGenRealShiftSolve_bones.hpp |    2 
 inst/include/armadillo_bits/newarp_SparseGenRealShiftSolve_meat.hpp  |    2 
 inst/include/armadillo_bits/newarp_SymEigsShiftSolver_bones.hpp      |    2 
 inst/include/armadillo_bits/newarp_SymEigsShiftSolver_meat.hpp       |    2 
 inst/include/armadillo_bits/newarp_SymEigsSolver_bones.hpp           |    6 
 inst/include/armadillo_bits/newarp_SymEigsSolver_meat.hpp            |    2 
 inst/include/armadillo_bits/newarp_TridiagEigen_bones.hpp            |    2 
 inst/include/armadillo_bits/newarp_TridiagEigen_meat.hpp             |    2 
 inst/include/armadillo_bits/newarp_UpperHessenbergEigen_bones.hpp    |    2 
 inst/include/armadillo_bits/newarp_UpperHessenbergEigen_meat.hpp     |    2 
 inst/include/armadillo_bits/newarp_UpperHessenbergQR_bones.hpp       |    2 
 inst/include/armadillo_bits/newarp_UpperHessenbergQR_meat.hpp        |    2 
 inst/include/armadillo_bits/newarp_cx_attrib.hpp                     |    2 
 inst/include/armadillo_bits/op_all_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_all_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_any_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_any_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_chi2rnd_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_chi2rnd_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_chol_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_chol_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_clamp_bones.hpp                       |    2 
 inst/include/armadillo_bits/op_clamp_meat.hpp                        |    2 
 inst/include/armadillo_bits/op_cond_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_cond_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_cor_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_cor_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_cov_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_cov_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_cumprod_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_cumprod_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_cumsum_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_cumsum_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_cx_scalar_bones.hpp                   |    2 
 inst/include/armadillo_bits/op_cx_scalar_meat.hpp                    |    2 
 inst/include/armadillo_bits/op_det_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_det_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_diagmat_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_diagmat_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_diagvec_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_diagvec_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_diff_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_diff_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_dot_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_dot_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_dotext_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_dotext_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_expmat_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_expmat_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_fft_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_fft_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_find_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_find_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_find_unique_bones.hpp                 |    2 
 inst/include/armadillo_bits/op_find_unique_meat.hpp                  |    2 
 inst/include/armadillo_bits/op_flip_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_flip_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_hist_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_hist_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_htrans_bones.hpp                      |   18 
 inst/include/armadillo_bits/op_htrans_meat.hpp                       |  141 -
 inst/include/armadillo_bits/op_index_max_bones.hpp                   |    2 
 inst/include/armadillo_bits/op_index_max_meat.hpp                    |    2 
 inst/include/armadillo_bits/op_index_min_bones.hpp                   |    2 
 inst/include/armadillo_bits/op_index_min_meat.hpp                    |    2 
 inst/include/armadillo_bits/op_inv_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_inv_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_log_det_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_log_det_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_logmat_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_logmat_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_max_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_max_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_mean_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_mean_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_median_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_median_meat.hpp                       |    6 
 inst/include/armadillo_bits/op_min_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_min_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_misc_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_misc_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_nonzeros_bones.hpp                    |    2 
 inst/include/armadillo_bits/op_nonzeros_meat.hpp                     |    2 
 inst/include/armadillo_bits/op_norm_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_norm_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_normalise_bones.hpp                   |    2 
 inst/include/armadillo_bits/op_normalise_meat.hpp                    |    2 
 inst/include/armadillo_bits/op_orth_null_bones.hpp                   |    2 
 inst/include/armadillo_bits/op_orth_null_meat.hpp                    |    2 
 inst/include/armadillo_bits/op_pinv_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_pinv_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_powmat_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_powmat_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_princomp_bones.hpp                    |    2 
 inst/include/armadillo_bits/op_princomp_meat.hpp                     |    2 
 inst/include/armadillo_bits/op_prod_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_prod_meat.hpp                         |    6 
 inst/include/armadillo_bits/op_range_bones.hpp                       |    2 
 inst/include/armadillo_bits/op_range_meat.hpp                        |    2 
 inst/include/armadillo_bits/op_relational_bones.hpp                  |    2 
 inst/include/armadillo_bits/op_relational_meat.hpp                   |    2 
 inst/include/armadillo_bits/op_repelem_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_repelem_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_repmat_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_repmat_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_reshape_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_reshape_meat.hpp                      |   42 
 inst/include/armadillo_bits/op_resize_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_resize_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_reverse_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_reverse_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_roots_bones.hpp                       |    2 
 inst/include/armadillo_bits/op_roots_meat.hpp                        |    2 
 inst/include/armadillo_bits/op_shift_bones.hpp                       |    2 
 inst/include/armadillo_bits/op_shift_meat.hpp                        |    2 
 inst/include/armadillo_bits/op_shuffle_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_shuffle_meat.hpp                      |   10 
 inst/include/armadillo_bits/op_sort_bones.hpp                        |    2 
 inst/include/armadillo_bits/op_sort_index_bones.hpp                  |    2 
 inst/include/armadillo_bits/op_sort_index_meat.hpp                   |    2 
 inst/include/armadillo_bits/op_sort_meat.hpp                         |    2 
 inst/include/armadillo_bits/op_sp_minus_bones.hpp                    |    2 
 inst/include/armadillo_bits/op_sp_minus_meat.hpp                     |    2 
 inst/include/armadillo_bits/op_sp_plus_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_sp_plus_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_sqrtmat_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_sqrtmat_meat.hpp                      |    2 
 inst/include/armadillo_bits/op_stddev_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_stddev_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_strans_bones.hpp                      |   10 
 inst/include/armadillo_bits/op_strans_meat.hpp                       |  180 -
 inst/include/armadillo_bits/op_sum_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_sum_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_symmat_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_symmat_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_toeplitz_bones.hpp                    |    2 
 inst/include/armadillo_bits/op_toeplitz_meat.hpp                     |    2 
 inst/include/armadillo_bits/op_trimat_bones.hpp                      |   11 
 inst/include/armadillo_bits/op_trimat_meat.hpp                       |  165 -
 inst/include/armadillo_bits/op_unique_bones.hpp                      |    2 
 inst/include/armadillo_bits/op_unique_meat.hpp                       |    2 
 inst/include/armadillo_bits/op_var_bones.hpp                         |    2 
 inst/include/armadillo_bits/op_var_meat.hpp                          |    2 
 inst/include/armadillo_bits/op_vectorise_bones.hpp                   |    6 
 inst/include/armadillo_bits/op_vectorise_meat.hpp                    |  154 -
 inst/include/armadillo_bits/op_wishrnd_bones.hpp                     |    2 
 inst/include/armadillo_bits/op_wishrnd_meat.hpp                      |    2 
 inst/include/armadillo_bits/operator_cube_div.hpp                    |    2 
 inst/include/armadillo_bits/operator_cube_minus.hpp                  |    2 
 inst/include/armadillo_bits/operator_cube_plus.hpp                   |    2 
 inst/include/armadillo_bits/operator_cube_relational.hpp             |    2 
 inst/include/armadillo_bits/operator_cube_schur.hpp                  |    2 
 inst/include/armadillo_bits/operator_cube_times.hpp                  |    2 
 inst/include/armadillo_bits/operator_div.hpp                         |    2 
 inst/include/armadillo_bits/operator_minus.hpp                       |    2 
 inst/include/armadillo_bits/operator_ostream.hpp                     |    2 
 inst/include/armadillo_bits/operator_plus.hpp                        |    2 
 inst/include/armadillo_bits/operator_relational.hpp                  |    2 
 inst/include/armadillo_bits/operator_schur.hpp                       |    2 
 inst/include/armadillo_bits/operator_times.hpp                       |    2 
 inst/include/armadillo_bits/podarray_bones.hpp                       |    2 
 inst/include/armadillo_bits/podarray_meat.hpp                        |    2 
 inst/include/armadillo_bits/promote_type.hpp                         |    2 
 inst/include/armadillo_bits/restrictors.hpp                          |    2 
 inst/include/armadillo_bits/running_stat_bones.hpp                   |    2 
 inst/include/armadillo_bits/running_stat_meat.hpp                    |    2 
 inst/include/armadillo_bits/running_stat_vec_bones.hpp               |    2 
 inst/include/armadillo_bits/running_stat_vec_meat.hpp                |    2 
 inst/include/armadillo_bits/sp_auxlib_bones.hpp                      |    2 
 inst/include/armadillo_bits/sp_auxlib_meat.hpp                       |    2 
 inst/include/armadillo_bits/span.hpp                                 |    2 
 inst/include/armadillo_bits/spdiagview_bones.hpp                     |    2 
 inst/include/armadillo_bits/spdiagview_meat.hpp                      |    2 
 inst/include/armadillo_bits/spglue_join_bones.hpp                    |    2 
 inst/include/armadillo_bits/spglue_join_meat.hpp                     |    2 
 inst/include/armadillo_bits/spglue_kron_bones.hpp                    |    2 
 inst/include/armadillo_bits/spglue_kron_meat.hpp                     |    2 
 inst/include/armadillo_bits/spglue_max_bones.hpp                     |    2 
 inst/include/armadillo_bits/spglue_max_meat.hpp                      |    2 
 inst/include/armadillo_bits/spglue_merge_bones.hpp                   |    2 
 inst/include/armadillo_bits/spglue_merge_meat.hpp                    |    2 
 inst/include/armadillo_bits/spglue_min_bones.hpp                     |    2 
 inst/include/armadillo_bits/spglue_min_meat.hpp                      |    2 
 inst/include/armadillo_bits/spglue_minus_bones.hpp                   |    2 
 inst/include/armadillo_bits/spglue_minus_meat.hpp                    |    2 
 inst/include/armadillo_bits/spglue_plus_bones.hpp                    |    2 
 inst/include/armadillo_bits/spglue_plus_meat.hpp                     |    2 
 inst/include/armadillo_bits/spglue_relational_bones.hpp              |    2 
 inst/include/armadillo_bits/spglue_relational_meat.hpp               |    2 
 inst/include/armadillo_bits/spglue_schur_bones.hpp                   |    2 
 inst/include/armadillo_bits/spglue_schur_meat.hpp                    |    2 
 inst/include/armadillo_bits/spglue_times_bones.hpp                   |    2 
 inst/include/armadillo_bits/spglue_times_meat.hpp                    |    2 
 inst/include/armadillo_bits/spop_diagmat_bones.hpp                   |    2 
 inst/include/armadillo_bits/spop_diagmat_meat.hpp                    |    2 
 inst/include/armadillo_bits/spop_htrans_bones.hpp                    |    2 
 inst/include/armadillo_bits/spop_htrans_meat.hpp                     |    2 
 inst/include/armadillo_bits/spop_max_bones.hpp                       |    2 
 inst/include/armadillo_bits/spop_max_meat.hpp                        |    2 
 inst/include/armadillo_bits/spop_mean_bones.hpp                      |    2 
 inst/include/armadillo_bits/spop_mean_meat.hpp                       |    2 
 inst/include/armadillo_bits/spop_min_bones.hpp                       |    2 
 inst/include/armadillo_bits/spop_min_meat.hpp                        |    2 
 inst/include/armadillo_bits/spop_misc_bones.hpp                      |    2 
 inst/include/armadillo_bits/spop_misc_meat.hpp                       |    2 
 inst/include/armadillo_bits/spop_norm_bones.hpp                      |    2 
 inst/include/armadillo_bits/spop_norm_meat.hpp                       |    2 
 inst/include/armadillo_bits/spop_normalise_bones.hpp                 |    2 
 inst/include/armadillo_bits/spop_normalise_meat.hpp                  |    2 
 inst/include/armadillo_bits/spop_repmat_bones.hpp                    |    2 
 inst/include/armadillo_bits/spop_repmat_meat.hpp                     |    2 
 inst/include/armadillo_bits/spop_reverse_bones.hpp                   |    2 
 inst/include/armadillo_bits/spop_reverse_meat.hpp                    |    2 
 inst/include/armadillo_bits/spop_strans_bones.hpp                    |    2 
 inst/include/armadillo_bits/spop_strans_meat.hpp                     |    2 
 inst/include/armadillo_bits/spop_sum_bones.hpp                       |    2 
 inst/include/armadillo_bits/spop_sum_meat.hpp                        |    2 
 inst/include/armadillo_bits/spop_symmat_bones.hpp                    |    2 
 inst/include/armadillo_bits/spop_symmat_meat.hpp                     |    2 
 inst/include/armadillo_bits/spop_trimat_bones.hpp                    |    2 
 inst/include/armadillo_bits/spop_trimat_meat.hpp                     |    2 
 inst/include/armadillo_bits/spop_var_bones.hpp                       |    2 
 inst/include/armadillo_bits/spop_var_meat.hpp                        |    2 
 inst/include/armadillo_bits/spop_vectorise_bones.hpp                 |    2 
 inst/include/armadillo_bits/spop_vectorise_meat.hpp                  |    2 
 inst/include/armadillo_bits/strip.hpp                                |    2 
 inst/include/armadillo_bits/subview_bones.hpp                        |   81 
 inst/include/armadillo_bits/subview_cube_bones.hpp                   |    4 
 inst/include/armadillo_bits/subview_cube_each_bones.hpp              |    2 
 inst/include/armadillo_bits/subview_cube_each_meat.hpp               |    2 
 inst/include/armadillo_bits/subview_cube_meat.hpp                    |    2 
 inst/include/armadillo_bits/subview_cube_slices_bones.hpp            |    2 
 inst/include/armadillo_bits/subview_cube_slices_meat.hpp             |    2 
 inst/include/armadillo_bits/subview_each_bones.hpp                   |    2 
 inst/include/armadillo_bits/subview_each_meat.hpp                    |    2 
 inst/include/armadillo_bits/subview_elem1_bones.hpp                  |    2 
 inst/include/armadillo_bits/subview_elem1_meat.hpp                   |    2 
 inst/include/armadillo_bits/subview_elem2_bones.hpp                  |    2 
 inst/include/armadillo_bits/subview_elem2_meat.hpp                   |    2 
 inst/include/armadillo_bits/subview_field_bones.hpp                  |    4 
 inst/include/armadillo_bits/subview_field_meat.hpp                   |    2 
 inst/include/armadillo_bits/subview_meat.hpp                         |  396 +++
 inst/include/armadillo_bits/sympd_helper.hpp                         |    2 
 inst/include/armadillo_bits/traits.hpp                               |   16 
 inst/include/armadillo_bits/translate_arpack.hpp                     |    2 
 inst/include/armadillo_bits/translate_atlas.hpp                      |    2 
 inst/include/armadillo_bits/translate_blas.hpp                       |    2 
 inst/include/armadillo_bits/translate_lapack.hpp                     |    2 
 inst/include/armadillo_bits/translate_superlu.hpp                    |    2 
 inst/include/armadillo_bits/trimat_helper.hpp                        |    2 
 inst/include/armadillo_bits/typedef_elem.hpp                         |    2 
 inst/include/armadillo_bits/typedef_elem_check.hpp                   |    2 
 inst/include/armadillo_bits/typedef_mat.hpp                          |    2 
 inst/include/armadillo_bits/typedef_mat_fixed.hpp                    |    2 
 inst/include/armadillo_bits/unwrap.hpp                               |  231 +
 inst/include/armadillo_bits/unwrap_cube.hpp                          |    2 
 inst/include/armadillo_bits/unwrap_spmat.hpp                         |    2 
 inst/include/armadillo_bits/upgrade_val.hpp                          |    4 
 inst/include/armadillo_bits/wall_clock_bones.hpp                     |    2 
 inst/include/armadillo_bits/wall_clock_meat.hpp                      |    2 
 inst/include/armadillo_bits/xtrans_mat_bones.hpp                     |    2 
 inst/include/armadillo_bits/xtrans_mat_meat.hpp                      |    2 
 inst/include/armadillo_bits/xvec_htrans_bones.hpp                    |    2 
 inst/include/armadillo_bits/xvec_htrans_meat.hpp                     |    2 
 613 files changed, 3900 insertions(+), 1958 deletions(-)

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Package mlr3shiny updated to version 0.2.0 with previous version 0.1.1 dated 2020-03-31

Title: Machine Learning in 'shiny' with 'mlr3'
Description: A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff@outlook.de>

Diff between mlr3shiny versions 0.1.1 dated 2020-03-31 and 0.2.0 dated 2021-09-30

 mlr3shiny-0.1.1/mlr3shiny/tests/testthat/apps                         |only
 mlr3shiny-0.2.0/mlr3shiny/DESCRIPTION                                 |   17 -
 mlr3shiny-0.2.0/mlr3shiny/MD5                                         |   57 +++--
 mlr3shiny-0.2.0/mlr3shiny/NEWS.md                                     |    4 
 mlr3shiny-0.2.0/mlr3shiny/README.md                                   |    4 
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/global.R                     |   70 ++++++-
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server.R                     |    1 
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server/server_Data.R         |    8 
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server/server_Learner.R      |  100 +++++++---
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server/server_Resample.R     |    5 
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server/server_Task.R         |   30 ++-
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server/server_TrainFit.R     |    2 
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/server/server_benchmarking.R |   27 +-
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/tests                        |only
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/ui.R                         |   18 +
 mlr3shiny-0.2.0/mlr3shiny/inst/mlr3shiny/ui/ui_Data.R                 |    1 
 mlr3shiny-0.2.0/mlr3shiny/man/figures                                 |only
 mlr3shiny-0.2.0/mlr3shiny/tests/testthat/test-launchMlr3Shiny.R       |    5 
 18 files changed, 246 insertions(+), 103 deletions(-)

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New package tremendousr with initial version 1.0.0
Package: tremendousr
Title: Easily Send Rewards and Incentives with 'Tremendous' from R
Version: 1.0.0
Description: A slightly-opinionated R interface for the 'Tremendous' API (<https://www.tremendous.com/>). In addition to supporting GET and POST requests, 'tremendousr' has, dare I say, tremendously intuitive functions for sending digital rewards and incentives directly from R.
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
Imports: cli, crayon, crul, jsonlite
Suggests: testthat (>= 3.0.0), clipr, vcr (>= 0.6.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-30 09:45:18 UTC; jt
Author: Jonathan Trattner [aut, cre] (<https://orcid.org/0000-0002-1097-7603>), Scott Chamberlain [ctb] (Utility functions `err_catcher()` and `trem_ua()` from chimpr package.), R Computing Lab at Wake Forest University [fnd]
Maintainer: Jonathan Trattner <jdt@jdtrat.com>
Repository: CRAN
Date/Publication: 2021-09-30 12:20:02 UTC

More information about tremendousr at CRAN
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Package tibble updated to version 3.1.5 with previous version 3.1.4 dated 2021-08-25

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between tibble versions 3.1.4 dated 2021-08-25 and 3.1.5 dated 2021-09-30

 DESCRIPTION                                       |   10 
 MD5                                               |   68 ++---
 NAMESPACE                                         |    4 
 NEWS.md                                           |    6 
 R/enframe.R                                       |    2 
 R/options.R                                       |    2 
 R/tibble-package.R                                |    2 
 R/tibble.R                                        |   13 -
 build/vignette.rds                                |binary
 inst/doc/formats.html                             |   25 -
 inst/doc/invariants.html                          |  280 +++++++++-------------
 inst/doc/tibble.html                              |   19 -
 inst/doc/types.R                                  |    1 
 inst/doc/types.Rmd                                |    1 
 inst/doc/types.html                               |   82 ++----
 man/enframe.Rd                                    |    2 
 man/lst.Rd                                        |    5 
 man/tibble-package.Rd                             |    3 
 man/tibble.Rd                                     |   13 -
 tests/testthat/_snaps/as_tibble.md                |   72 ++---
 tests/testthat/_snaps/msg.md                      |  126 ++++-----
 tests/testthat/_snaps/names.md                    |   10 
 tests/testthat/_snaps/subsetting.md               |    4 
 tests/testthat/_snaps/vignette-formats/formats.md |   12 
 tests/testthat/test-as_tibble.R                   |   26 +-
 tests/testthat/test-msg.R                         |    2 
 tests/testthat/test-names.R                       |    2 
 tests/testthat/test-str.R                         |    2 
 tests/testthat/test-subsetting.R                  |    2 
 tests/testthat/test-tbl_df.R                      |    1 
 tests/testthat/test-vignette-formats.R            |    3 
 tests/testthat/test-vignette-invariants.R         |    1 
 tests/testthat/test-vignette-tibble.R             |    1 
 tests/testthat/test-vignette-types.R              |    1 
 vignettes/types.Rmd                               |    1 
 35 files changed, 393 insertions(+), 411 deletions(-)

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Package shinydashboard updated to version 0.7.2 with previous version 0.7.1 dated 2018-10-17

Title: Create Dashboards with 'Shiny'
Description: Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.
Author: Winston Chang [aut, cre], Barbara Borges Ribeiro [aut], RStudio [cph], Almasaeed Studio [ctb, cph] (AdminLTE theme for Bootstrap), Adobe Systems Incorporated [ctb, cph] (Source Sans Pro font)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between shinydashboard versions 0.7.1 dated 2018-10-17 and 0.7.2 dated 2021-09-30

 DESCRIPTION                    |    6 +++---
 MD5                            |   18 +++++++++---------
 NEWS.md                        |    7 +++++++
 R/menuOutput.R                 |    8 +++++++-
 README.md                      |    6 +++---
 inst/AdminLTE/app.min.js       |    2 +-
 inst/AdminLTE/app.min.js.map   |    2 +-
 inst/shinydashboard.css        |    4 ++++
 inst/shinydashboard.min.js     |    4 ++--
 inst/shinydashboard.min.js.map |    2 +-
 10 files changed, 38 insertions(+), 21 deletions(-)

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New package robis with initial version 2.8.1
Package: robis
Title: Ocean Biodiversity Information System (OBIS) Client
Description: Client for the Ocean Biodiversity Information System (<https://obis.org>).
Version: 2.8.1
Date: 2021-09-29
URL: https://github.com/iobis/robis
BugReports: https://github.com/iobis/robis/issues
Depends: R (>= 3.1.3)
Imports: httr, dplyr, jsonlite, leaflet, ggplot2, tidyr, httpcache, tibble, mapedit, sf, rlang, purrr, stringr, curl, data.table, tidyselect, xml2
License: MIT + file LICENSE
Suggests: testthat, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-09-29 13:24:26 UTC; pieter
Author: Pieter Provoost [cre, aut], Samuel Bosch [aut], Ward Appeltans [ctb], OBIS [cph]
Maintainer: Pieter Provoost <pieterprovoost@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-30 12:10:10 UTC

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New package ractivecampaign with initial version 0.1.1
Package: ractivecampaign
Title: Loading Data from 'ActiveCampaign API v3'
Version: 0.1.1
Description: Interface for loading data from 'ActiveCampaign API v3' <https://developers.activecampaign.com/reference>. Provide functions for getting data by deals, contacts, accounts, campaigns and messages.
Imports: dplyr, httr, pbapply, stringr, tidyr, cli
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-30 09:53:49 UTC; Alsey
Author: Alexey Seleznev [aut, cre] (<https://orcid.org/0000-0003-0410-7385>), Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-30 12:20:05 UTC

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New package perryExamples with initial version 0.1.0
Package: perryExamples
Title: Examples for Integrating Prediction Error Estimation into Regression Models
Version: 0.1.0
Date: 2021-09-30
Depends: R (>= 2.14.1), perry (>= 0.3.0), robustbase
Imports: stats, quantreg, lars
Description: Examples for integrating package 'perry' for prediction error estimation into regression models.
License: GPL (>= 2)
LazyLoad: yes
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-09-30 09:49:59 UTC; andreas
Repository: CRAN
Date/Publication: 2021-09-30 12:20:08 UTC

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Package pguIMP updated to version 0.0.0.3 with previous version 0.0.0.2 dated 2021-07-22

Title: 'pguIMP'
Description: Reproducible cleaning of bio-medical laboratory data using methods of visualization,error correction and transformation implemented as interactive R-notebooks.
Author: Sebastian Malkusch [aut, cre] (<https://orcid.org/0000-0001-6766-140X>), Joern Loetsch [aut] (<https://orcid.org/0000-0002-5818-6958>)
Maintainer: Sebastian Malkusch <malkusch@med.uni-frankfurt.de>

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Package mombf updated to version 3.0.6 with previous version 3.0.4 dated 2021-07-13

Title: Bayesian Model Selection and Averaging for Non-Local and Local Priors
Description: Bayesian model selection and averaging for regression and mixtures for non-local and selected local priors.
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck, Oriol Abril
Maintainer: David Rossell <rosselldavid@gmail.com>

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New package LDLcalc with initial version 1.0
Package: LDLcalc
Title: Calculate and Predict the Low Density Lipoprotein Values
Version: 1.0
Author: Petros Paplomatas [aut, cre], Kostas Anagnostopoulos [aut, ctb]
Description: A wide variety of ways to calculate (through equations) or predict (using 9 Machine Learning methods as well as a stack algorithm combination of them all) the Low Density Lipoprotein values of patients based on the values of three other metrics as Total Cholesterol , Triglyceride and High Density Lipoprotein.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: data.table, caret, caretEnsemble, lares, corrplot, RColorBrewer, lattice, resample, glmnet, earth, kernlab, gbm, Cubist, randomForest
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-09-29 19:20:52 UTC; ppapl
Maintainer: Petros Paplomatas <P.paplomatas@hotmail.com>
Repository: CRAN
Date/Publication: 2021-09-30 11:20:02 UTC

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Package idiogramFISH updated to version 2.0.6 with previous version 2.0.5 dated 2021-05-21

Title: Shiny App. Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids (when not circular). Supports micrometers, cM and Mb or any unit. Three styles of centromeres are available: triangular, rounded and inProtein; and six styles of marks are available: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow (downArrow), exProtein (inProtein); its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

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New package hwig with initial version 0.0.2
Package: hwig
Title: Half-Weight Index Gregariousness
Version: 0.0.2
Description: The half-weight index gregariousness (HWIG) is an association index used in social network analyses. It extends the half-weight association index (HWI), correcting for level of gregariousness in individuals. It is calculated using group by individual data according to methods described in Godde et al. (2013) <doi:10.1016/j.anbehav.2012.12.010>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: asnipe, spatsoc, data.table
Suggests: testthat
BugReports: https://github.com/robitalec/hwig/issues
URL: https://gitlab.com/robit.a/hwig, https://github.com/robitalec/hwig
NeedsCompilation: no
Packaged: 2021-09-30 06:22:36 UTC; alecr
Author: Alec L. Robitaille [aut, cre] (<https://orcid.org/0000-0002-4706-1762>)
Maintainer: Alec L. Robitaille <robit.alec@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-30 11:50:09 UTC

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New package CatPredi with initial version 1.2
Package: CatPredi
Title: Optimal Categorisation of Continuous Variables in Prediction Models
Version: 1.2
Date: 2021-09-27
Imports: survival, rms, CPE, rgenoud, mgcv, stats, graphics
Description: Allows the user to categorise a continuous predictor variable in a logistic or a Cox proportional hazards regression setting, by maximising the discriminative ability of the model. I Barrio, I Arostegui, MX Rodriguez-Alvarez, JM Quintana (2015) <doi:10.1177/0962280215601873>. I Barrio, MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017) <https://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.pdf>.
License: GPL
NeedsCompilation: no
Packaged: 2021-09-30 10:29:05 UTC; sarai
Author: Irantzu Barrio [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Inmaculada Arostegui [ctb]
Maintainer: Irantzu Barrio <irantzu.barrio@ehu.eus>
Repository: CRAN
Date/Publication: 2021-09-30 12:00:07 UTC

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New package AntibodyTiters with initial version 0.1.4
Package: AntibodyTiters
Version: 0.1.4
Date: 2021-09-30
Title: Antibody Titer Analysis of Vaccinated Patients
Maintainer: Hiroaki Kato <hkato@med.shimane-u.ac.jp>
Depends: openxlsx (>= 4.2.4), R (>= 3.3.0)
Description: Visualization of antibody titer scores is valuable for examination of vaccination effects and usefulness of the antibody used for titer scoring. 'AntibodyTiters' visualizes antibody titers of all or selected patients. This package also produces empty excel files in a specified format, in which users can fill in experimental data for visualization. Excel files with toy data can also be produced, so that users can see how it is visualized before obtaining real data. The data should contain titer scores at pre-vaccination, after- 1st shot, after-2nd shot, and at least one additional sampling point. Patients with missing values can be included. The first three sampling points will be plotted discretely, whereas those following the after-2nd shot will be plotted on a continuous time scale starting from the day of second shot.
License: GPL-3
NeedsCompilation: no
Packaged: 2021-09-30 01:55:50 UTC; hrk_kato
Author: Yuuki Mizumoto [aut], Hiroaki Kato [aut, cre] (<https://orcid.org/0000-0001-9591-1875>), Takeshi Urano [ctb]
Repository: CRAN
Date/Publication: 2021-09-30 11:50:12 UTC

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Package PHInfiniteEstimates updated to version 2.1 with previous version 2.0 dated 2021-07-23

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents. Supported by grant NSF DMS 1712839.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package MultNonParam updated to version 1.3.6 with previous version 1.3.5 dated 2021-06-03

Title: Multivariate Nonparametric Methods
Description: A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839.
Author: John E. Kolassa [cre], Stephane Jankowski [aut]
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package meta updated to version 4.19-2 with previous version 4.19-1 dated 2021-09-14

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package magclass updated to version 6.0.9 with previous version 5.24.7 dated 2021-02-25

Title: Data Class and Tools for Handling Spatial-Temporal Data
Description: Data class for increased interoperability working with spatial- temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
Author: Jan Philipp Dietrich [aut, cre], Benjamin Leon Bodirsky [aut], Markus Bonsch [aut], Florian Humpenoeder [aut], Stephen Bi [aut], Kristine Karstens [aut], Debbora Leip [aut], Lavinia Baumstark [ctb], Christoph Bertram [ctb], Anastasis Giannousakis [ctb], David Klein [ctb], Ina Neher [ctb], Michaja Pehl [ctb], Anselm Schultes [ctb], Miodrag Stevanovic [ctb], Xiaoxi Wang [ctb], Felicitas Beier [ctb]
Maintainer: Jan Philipp Dietrich <dietrich@pik-potsdam.de>

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Package broom.helpers updated to version 1.4.0 with previous version 1.3.0 dated 2021-04-10

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] (<https://orcid.org/0000-0001-7097-700X>), Daniel D. Sjoberg [aut] (<https://orcid.org/0000-0003-0862-2018>)
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package additive updated to version 0.0.3 with previous version 0.0.2 dated 2021-07-12

Title: Bindings for Generalized Additive Models (GAM)
Description: Fit Generalized Additive Models (GAM) using 'mgcv' with 'parsnip'/'tidymodels' via 'additive' <doi:10.5281/zenodo.5539481>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'mgcv' are described in Wood (2017) <doi:10.1201/9781315370279>.
Author: Hamada S. Badr [aut, cre] (<https://orcid.org/0000-0002-9808-2344>)
Maintainer: Hamada S. Badr <badr@jhu.edu>

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Package voson.tcn updated to version 0.2.4 with previous version 0.1.8 dated 2021-05-21

Title: Twitter Conversation Networks and Analysis
Description: Collects tweets and metadata for threaded conversations and generates networks.
Author: Bryan Gertzel [aut, cre], Robert Ackland [ctb] (<https://orcid.org/0000-0002-0008-1766>), Francisca Borquez [ctb]
Maintainer: Bryan Gertzel <bryan.gertzel@anu.edu.au>

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Package SingleCaseES updated to version 0.5.0 with previous version 0.4.4 dated 2021-04-30

Title: A Calculator for Single-Case Effect Sizes
Description: Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.
Author: James E. Pustejovsky [aut, cre], Man Chen [aut], Daniel M. Swan [aut]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

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Package onlineforecast updated to version 1.0.0 with previous version 0.10.0 dated 2021-08-21

Title: Forecast Modelling for Online Applications
Description: A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website <https://onlineforecasting.org> and the pre-print paper "onlineforecast: An R package for adaptive and recursive forecasting" <arXiv:2109.12915>.
Author: Peder Bacher [cre], Hjorleifur G Bergsteinsson [aut]
Maintainer: Peder Bacher <pbac@dtu.dk>

Diff between onlineforecast versions 0.10.0 dated 2021-08-21 and 1.0.0 dated 2021-09-30

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Package FunnelPlotR updated to version 0.4.1 with previous version 0.4.0 dated 2021-09-15

Title: Funnel Plots for Comparing Institutional Performance
Description: An implementation of methods presented by Spiegelhalter (2005) <doi:10.1002/sim.1970> Funnel plots for comparing institutional performance, for standardised ratios, ratios of counts and proportions with additive overdispersion adjustment.
Author: Chris Mainey [aut, cre] (<https://orcid.org/0000-0002-3018-6171>), Andrew Johnson [ctb], Matthew Bass [ctb]
Maintainer: Chris Mainey <c.mainey@nhs.net>

Diff between FunnelPlotR versions 0.4.0 dated 2021-09-15 and 0.4.1 dated 2021-09-30

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New package CoNI with initial version 0.1.0
Package: CoNI
Title: Correlation Guided Network Integration (CoNI)
Version: 0.1.0
Date: 2021-09-28
Description: Integrates two numerical omics data sets from the same samples using partial correlations. The output can be represented as a network, bipartite graph or a hypergraph structure. The method used in the package refers to Klaus et al (2021) <doi:10.1016/j.molmet.2021.101295>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: igraph (>= 1.2.6), doParallel (>= 1.0.16), cocor (>= 1.1.3), ggplot2 (>= 3.3.3), forcats (>= 0.5.1), dplyr (>= 1.0.5), data.table (>= 1.13.7), tibble (>= 3.1.0), foreach (>= 1.5.1), genefilter (>= 1.72.1), ggrepel (>= 0.9.1), gplots (>= 3.1.1), gridExtra (>= 2.3), plyr (>= 1.8.6), ppcor (>= 1.1), tidyr (>= 1.1.3), Hmisc (>= 4.4.2), methods (>= 4.0.3), rlang (>= 0.4.10), tidyselect (>= 1.1.0)
Suggests: kableExtra (>= 1.3.2), knitr (>= 1.31), rmarkdown (>= 2.6)
VignetteBuilder: knitr
SystemRequirements: python3
NeedsCompilation: no
Packaged: 2021-09-29 16:18:07 UTC; manuel.kuhn
Author: José Manuel Monroy Kuhn [aut, cre], Dominik Lutter [ths], Valentina Klaus [ctb]
Maintainer: José Manuel Monroy Kuhn <nolozz@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-30 09:10:02 UTC

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New package BrainCon with initial version 0.1.0
Package: BrainCon
Title: Inference the Partial Correlations Based on Time Series Data
Version: 0.1.0
Author: Yunhaonan Yang [aut, cre], Peng Wu [aut], Xin Gai [aut], Yumou Qiu [aut], Xiaohua Zhou [aut]
Maintainer: Yunhaonan Yang <haonan_yy@pku.edu.cn>
Description: A statistical tool to inference the multi-level partial correlations based on multi-subject time series data. It combines both individual and population level inference by using the methods of Qiu and Zhou. (2021)<DOI: 10.1080/01621459.2021.1917417> and Genovese and Wasserman. (2006)<DOI: 10.1198/016214506000000339>. It can be used to identify nonzero individual- or population-level partial correlations, and find out unequal partial correlation coefficients between two populations.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: glmnet, MASS
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-09-29 16:26:01 UTC; Dinic
Repository: CRAN
Date/Publication: 2021-09-30 09:10:05 UTC

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New package SCEnt with initial version 0.0.1
Package: SCEnt
Title: Single Cell Entropy Analysis of Gene Heterogeneity in Cell Populations
Version: 0.0.1
Description: Analyse single cell RNA sequencing data using entropy to calculate heterogeneity and homogeneity of genes amongst the cell population. From the work of Michael J. Casey, Ruben J. Sanchez-Garcia and Ben D. MacArthur.
License: GPL (>= 3)
Encoding: UTF-8
Imports: entropy, tibble
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-29 12:47:02 UTC; hwarden
Author: Hugh Warden [aut, cre] (<https://orcid.org/0000-0002-4308-7316>)
Maintainer: Hugh Warden <hugh.warden@outlook.com>
Repository: CRAN
Date/Publication: 2021-09-30 08:30:04 UTC

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New package preregr with initial version 0.1.3
Package: preregr
Title: Specify (Pre)Registrations and Export Them Human- And Machine-Readably
Version: 0.1.3
Description: Preregistrations, or more generally, registrations, enable explicit timestamped and (often but not necessarily publicly) frozen documentation of plans and expectations as well as decisions and justifications. In research, preregistrations are commonly used to clearly document plans and facilitate justifications of deviations from those plans, as well as decreasing the effects of publication bias by enabling identification of research that was conducted but not published. Like reporting guidelines, (pre)registration forms often have specific structures that facilitate systematic reporting of important items. The 'preregr' package facilitates specifying (pre)registrations in R and exporting them to a human-readable format (using R Markdown partials or exporting to an 'HTML' file) as well as human-readable embedded data (using 'JSON'), as well as importing such exported (pre)registration specifications from such embedded 'JSON'.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: cli (>= 3.0), jsonlite (>= 1.7), rmdpartials (>= 0.5.8), yaml (>= 2.2)
Suggests: googlesheets4 (>= 1.0), haven (>= 2.4.3), justifier (>= 0.2.1), knitr (>= 1.34), markdown (>= 1.1), openxlsx (>= 4.2), readxl (>= 1.3), rvest (>= 1.0), testthat (>= 3.0), writexl (>= 1.4), XLConnect (>= 1.0), rmarkdown
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-29 11:12:00 UTC; gjalt
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>)
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>
Repository: CRAN
Date/Publication: 2021-09-30 08:20:02 UTC

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New package powerly with initial version 1.5.2
Package: powerly
Title: Sample Size Analysis for Psychological Networks and More
Version: 1.5.2
Description: An implementation of the sample size computation method for network models proposed by Constantin et al. (2021) <doi:10.31234/osf.io/j5v7u> The implementation takes the form of a three-step recursive algorithm designed to find an optimal sample size given a model specification and a performance measure of interest. It starts with a Monte Carlo simulation step for computing the performance measure and a statistic at various sample sizes selected from an initial sample size range. It continues with a monotone curve-fitting step for interpolating the statistic across the entire sample size range. The final step employs stratified bootstrapping to quantify the uncertainty around the fitted curve.
License: MIT + file LICENSE
URL: https://github.com/mihaiconstantin/powerly
BugReports: https://github.com/mihaiconstantin/powerly/issues
Imports: R6, progress, parallel, splines2, quadprog, osqp, bootnet, qgraph, ggplot2, patchwork
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-09-29 14:12:04 UTC; mihai
Author: Mihai Constantin [aut, cre] (<https://orcid.org/0000-0002-6460-0107>)
Maintainer: Mihai Constantin <mihai@mihaiconstantin.com>
Repository: CRAN
Date/Publication: 2021-09-30 09:00:02 UTC

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New package nodeSub with initial version 1.2
Package: nodeSub
Title: Simulate DNA Alignments Using Node Substitutions
Version: 1.2
Author: Thijs Janzen
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
Description: Simulate DNA sequences for the node substitution model. In the node substitution model, substitutions accumulate additionally during a speciation event, providing a potential mechanistic explanation for substitution rate variation. The nodeSub package provides tools to simulate such a process, simulate a reference process with only substitutions along the branches, and provides tools to infer phylogenies from alignments. More information can be found in Janzen (2021) <doi:10.1101/2020.08.19.256891>.
URL: https://github.com/thijsjanzen/nodeSub
BugReports: https://github.com/thijsjanzen/nodeSub
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LinkingTo: Rcpp
Depends: Rcpp
Imports: nLTT, RPANDA, apTreeshape, phangorn, tibble, DDD, Rmpfr, assertthat, pbapply, phylobase, rappdirs, stringr, geiger, ape, testit, babette, beautier, beastier, mauricer, tracerer
Suggests: phytools, testthat, TreeSim, dplyr, knitr, rmarkdown, ggplot2, magrittr, tidyr
NeedsCompilation: yes
Packaged: 2021-09-29 11:16:02 UTC; janzen
Repository: CRAN
Date/Publication: 2021-09-30 08:30:02 UTC

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New package metaCluster with initial version 0.1.0
Package: metaCluster
Title: Metagenomic Clustering
Version: 0.1.0
Maintainer: Dipro Sinha <diprosinha@gmail.com>
Description: Clustering in metagenomics is the process of grouping of microbial contigs in species specific bins. This package contains functions that extract genomic features from metagenome data, find the number of clusters for that given data and find the best clustering algorithm for binning.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: factoextra, cluster, dbscan, dplyr, seqinr, Biostrings
Depends: R (>= 3.6)
NeedsCompilation: no
Packaged: 2021-09-29 10:06:44 UTC; SAYANTI
Author: Dipro Sinha [aut, cre], Sayanti Guha Majumdar [aut], Anu Sharma [aut], Dwijesh Chandra Mishra [aut]
Repository: CRAN
Date/Publication: 2021-09-30 08:10:02 UTC

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New package gJLS2 with initial version 0.2.0
Package: gJLS2
Title: A Generalized Joint Location and Scale Framework for Association Testing
Version: 0.2.0
Description: An update to the Joint Location-Scale (JLS) testing framework that identifies associated SNPs, gene-sets and pathways with main and/or interaction effects on quantitative traits (Soave et al., 2015; <doi:10.1016/j.ajhg.2015.05.015>). The JLS method simultaneously tests the null hypothesis of equal mean and equal variance across genotypes, by aggregating association evidence from the individual location/mean-only and scale/variance-only tests using Fisher's method. The generalized joint location-scale (gJLS) framework has been developed to deal specifically with sample correlation and group uncertainty (Soave and Sun, 2017; <doi:10.1111/biom.12651>). The current release: gJLS2, include additional functionalities that enable analyses of X-chromosome genotype data through novel methods for location (Chen et al., 2021; <doi:10.1002/gepi.22422>) and scale (Deng et al., 2019; <doi:10.1002/gepi.22247>).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, markdown
VignetteBuilder: knitr
Imports: methods, nlme, quantreg, MCMCpack, MASS, plyr, ggplot2, moments
Depends: R (>= 3.6.0)
NeedsCompilation: no
Packaged: 2021-09-29 16:03:28 UTC; weideng
Author: Wei Deng [aut, cre], Lei Sun [aut]
Maintainer: Wei Deng <deng@utstat.toronto.edu>
Repository: CRAN
Date/Publication: 2021-09-30 09:00:05 UTC

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Package CARBayes updated to version 5.2.5 with previous version 5.2.4 dated 2021-05-31

Title: Spatial Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, multinomial, Poisson or zero-inflated Poisson (ZIP), and spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution. A number of different models are available for univariate spatial data, including models with no random effects as well as random effects modelled by different types of CAR prior, including the BYM model (Besag et al. (1991) <doi:10.1007/BF00116466>), the Leroux model (Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>) and the localised model (Lee et al. (2015) <doi:10.1002/env.2348>). Additionally, a multivariate CAR (MCAR) model for multivariate spatial data is available, as is a two-level hierarchical model for modelling data relating to individuals within areas. Full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development has been supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, Innovate UK / Natural Environment Research Council (NERC) grant NE/N007352/1 and the TB Alliance.
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

Diff between CARBayes versions 5.2.4 dated 2021-05-31 and 5.2.5 dated 2021-09-30

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Package report updated to version 0.4.0 with previous version 0.3.5 dated 2021-06-10

Title: Automated Reporting of Results and Statistical Models
Description: The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>, @mattansb), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Rudolf Siegel [ctb] (<https://orcid.org/0000-0002-6021-804X>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package sparta updated to version 0.8.1.1 with previous version 0.8.1 dated 2021-07-05

Title: Sparse Tables
Description: Fast Multiplication and Marginalization of Sparse Tables.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

Diff between sparta versions 0.8.1 dated 2021-07-05 and 0.8.1.1 dated 2021-09-30

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Package Sequential updated to version 4.0 with previous version 3.4 dated 2021-09-02

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
Author: Ivair Ramos Silva and Martin Kulldorff
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>

Diff between Sequential versions 3.4 dated 2021-09-02 and 4.0 dated 2021-09-30

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Package dm updated to version 0.2.4 with previous version 0.2.3 dated 2021-06-20

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package SQRL updated to version 1.0.0 with previous version 0.8.0 dated 2021-03-07

Title: Facilitates ODBC Database Interaction
Description: Facilitates interaction with ODBC data sources, by remembering communication settings and supporting parameterised multi-statement SQL with embedded R.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between SQRL versions 0.8.0 dated 2021-03-07 and 1.0.0 dated 2021-09-30

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Package nominatimlite updated to version 0.1.1 with previous version 0.1.0 dated 2021-09-16

Title: Interface with 'Nominatim' API Service
Description: Lite interface for getting data from 'OSM' service 'Nominatim' <https://nominatim.org/release-docs/latest/>. Extract coordinates from addresses, find places near a set of coordinates, search for amenities and return spatial objects on 'sf' format.
Author: Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>), Jindra Lacko [ctb, rev], OpenStreetMap contributors [cph] (for the data.)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>

Diff between nominatimlite versions 0.1.0 dated 2021-09-16 and 0.1.1 dated 2021-09-30

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Package naijR updated to version 0.3.1 with previous version 0.3.0 dated 2021-09-08

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] (<https://orcid.org/0000-0003-3716-0668>)
Maintainer: Victor Ordu <victorordu@outlook.com>

Diff between naijR versions 0.3.0 dated 2021-09-08 and 0.3.1 dated 2021-09-30

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Package hagis updated to version 3.1.2 with previous version 3.1.1 dated 2020-12-09

Title: Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Description: Analysis of plant pathogen pathotype survey data. Functions provided calculate distribution of susceptibilities, distribution of complexities with statistics, pathotype frequency distribution, as well as diversity indices for pathotypes. This package is meant to be a direct replacement for Herrmann, Löwer and Schachtel's (1999) <doi:10.1046/j.1365-3059.1999.00325.x> Habgood-Gilmour Spreadsheet, 'HaGiS', previously used for pathotype analysis.
Author: Austin G. McCoy [aut, ccp] (<https://orcid.org/0000-0003-2483-4184>), Zachary Noel [aut, ccp] (<https://orcid.org/0000-0001-6375-8300>), Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Martin Chilvers [aut, ths] (<https://orcid.org/0000-0001-8832-1666>), Zhian N. Kamvar [ctb, rev] (<https://orcid.org/0000-0003-1458-7108>), Michigan Soybean Promotion Committee [fnd], Project GREEEN [fnd], North Central Soybean Research Program [fnd], GRDC Project DAQ00186 [fnd]
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

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