Thu, 11 Jul 2019

Package ramchoice updated to version 1.1 with previous version 1.0 dated 2019-03-16

Title: Estimation and Inference in Random Attention Models
Description: It is widely documented in psychology, economics and other disciplines that socio-economic agent may not pay full attention to all available alternatives, rendering standard revealed preference theory invalid. This package implements the estimation and inference procedures of Cattaneo, Ma, Masatlioglu and Suleymanov (2019) <arXiv:1712.03448>, which utilizes standard choice data to partially identify and estimate a decision maker's preference. For inference, several simulation-based critical values are provided.
Author: Matias D. Cattaneo, Xinwei Ma, Yusufcan Masatlioglu, Elchin Suleymanov
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

Diff between ramchoice versions 1.0 dated 2019-03-16 and 1.1 dated 2019-07-11

 DESCRIPTION              |   12 ++++++------
 MD5                      |   20 ++++++++++----------
 R/rAtte.R                |   16 +++++++++-------
 R/rAtte_fun.R            |   26 +++++++++++++-------------
 R/ramchoice-package.R    |   24 +++++++++++++-----------
 R/ramdata.R              |    8 ++++----
 man/genMat.Rd            |   14 +++++++-------
 man/rAtte.Rd             |   22 ++++++++++++----------
 man/ramchoice-package.Rd |   24 +++++++++++++-----------
 man/ramdata.Rd           |    8 ++++----
 man/sumData.Rd           |   12 ++++++------
 11 files changed, 97 insertions(+), 89 deletions(-)

More information about ramchoice at CRAN
Permanent link

New package parsetools with initial version 0.1.1
Package: parsetools
Type: Package
Title: Parse Tools
Version: 0.1.1
Authors@R: c( person("Andrew", "Redd", , "andrew.redd@hsc.utah.edu", c("aut", "cre")), person("R Consortium", role=c("cph", "fnd")) )
Maintainer: Andrew Redd <andrew.redd@hsc.utah.edu>
License: GPL-2
Language: en-US
Imports: methods, tools, utils
Suggests: covr, knitr, rmarkdown, testthat
Description: Tools and utilities for dealing with parse data. Parse data represents the parse tree as data with location and type information. This package provides functions for navigating the parse tree as a data frame.
Collate: 'internal.R' 'accessors.R' 'checks.R' 'children.R' 'comments.R' 'errors.R' 'family.R' 'find-utils.R' 'firstborn.R' 'get_parse_data.R' 'grouping.R' 'iff_blocks.R' 'parent.R' 'pd_assign.R' 'pd_call.R' 'pd_make_is_in.R' 'pd_classes.R' 'pd_comments.R' 'pd_function.R' 'pd_identify.R' 'pd_if.R' 'reconstitute.R' 'root.R' 'siblings.R' 'tags.R' 'testing_blocks.R' 'zzz.R'
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
KeepSource: yes
URL: https://github.com/RDocTaskForce/parsetools
BugReports: https://github.com/RDocTaskForce/parsetools/issues
NeedsCompilation: no
Packaged: 2019-07-11 17:28:35 UTC; u0092104
Author: Andrew Redd [aut, cre], R Consortium [cph, fnd]
Repository: CRAN
Date/Publication: 2019-07-11 21:58:01 UTC

More information about parsetools at CRAN
Permanent link

Package httk updated to version 1.10.0 with previous version 1.9.2 dated 2019-04-25

Title: High-Throughput Toxicokinetics
Description: Functions and data tables for simulation and statistical analysis of chemical toxicokinetics ("TK") as in Pearce et al. (2017) <doi:10.18637/jss.v079.i04>. Chemical-specific in vitro data have been obtained from relatively high throughput experiments. Both physiologically-based ("PBTK") and empirical (e.g., one compartment) "TK" models can be parameterized for several hundred chemicals and multiple species. These models are solved efficiently, often using compiled (C-based) code. A Monte Carlo sampler is included for simulating biological variability (Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>) and measurement limitations. Calibrated methods are included for predicting tissue:plasma partition coefficients and volume of distribution (Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>). These functions and data provide a set of tools for in vitro-in vivo extrapolation ("IVIVE") of high throughput screening data (e.g., Tox21, ToxCast) to real-world exposures via reverse dosimetry (also known as "RTK") (Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).
Author: John Wambaugh [aut, cre], Robert Pearce [aut], Caroline Ring [aut], Greg Honda [aut], Mark Sfeir [aut], Jimena Davis [ctb], James Sluka [ctb], Nisha Sipes [ctb], Barbara Wetmore [ctb], Woodrow Setzer [ctb]
Maintainer: John Wambaugh <wambaugh.john@epa.gov>

Diff between httk versions 1.9.2 dated 2019-04-25 and 1.10.0 dated 2019-07-11

 httk-1.10.0/httk/DESCRIPTION                                                             |   17 
 httk-1.10.0/httk/MD5                                                                     |  497 +++++-----
 httk-1.10.0/httk/NAMESPACE                                                               |   98 +
 httk-1.10.0/httk/NEWS                                                                    |binary
 httk-1.10.0/httk/R/Calc_Hepatic_Clearance.r                                              |  109 +-
 httk-1.10.0/httk/R/Calc_elimination_rate.R                                               |   90 +
 httk-1.10.0/httk/R/Calc_ratioblood2plasma.R                                              |   59 +
 httk-1.10.0/httk/R/Calc_total_clearance.R                                                |   92 +
 httk-1.10.0/httk/R/Calc_volume_of_distribution.R                                         |   84 +
 httk-1.10.0/httk/R/Export_PBTK_Jarnac.R                                                  |   30 
 httk-1.10.0/httk/R/Export_PBTK_SBML.R                                                    |   32 
 httk-1.10.0/httk/R/Get_invitroPK_param.r                                                 |   44 
 httk-1.10.0/httk/R/Get_physchem_param.r                                                  |  147 ++
 httk-1.10.0/httk/R/Parameterize_3comp.r                                                  |   76 +
 httk-1.10.0/httk/R/Parameterize_PBTK.r                                                   |  196 +++
 httk-1.10.0/httk/R/Parameterize_SteadyState.R                                            |  200 +++-
 httk-1.10.0/httk/R/Predict_partitioning_Schmitt.R                                        |  166 ++-
 httk-1.10.0/httk/R/add_chemtable.R                                                       |   81 +
 httk-1.10.0/httk/R/age_draw_smooth.R                                                     |   33 
 httk-1.10.0/httk/R/armitage.R                                                            |  226 ++--
 httk-1.10.0/httk/R/available_rblood2plasma.R                                             |   63 +
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 httk-1.10.0/httk/R/calc_css.R                                                            |  108 ++
 httk-1.10.0/httk/R/calc_mc_css.R                                                         |  308 +++++-
 httk-1.10.0/httk/R/calc_mc_oral_equiv.R                                                  |  132 ++
 httk-1.10.0/httk/R/calc_stats.R                                                          |   62 +
 httk-1.10.0/httk/R/ckd_epi_eq.R                                                          |    3 
 httk-1.10.0/httk/R/convert_httk.R                                                        |   62 -
 httk-1.10.0/httk/R/data.R                                                                |  407 +++++++-
 httk-1.10.0/httk/R/draw_fup_clint.R                                                      |  442 +++++---
 httk-1.10.0/httk/R/estimate_gfr.R                                                        |    3 
 httk-1.10.0/httk/R/estimate_gfr_ped.R                                                    |    3 
 httk-1.10.0/httk/R/estimate_hematocrit.R                                                 |    8 
 httk-1.10.0/httk/R/gen_age_height_weight.R                                               |    1 
 httk-1.10.0/httk/R/gen_height_weight.R                                                   |   35 
 httk-1.10.0/httk/R/get_Wetmore_Css.R                                                     |   58 +
 httk-1.10.0/httk/R/get_Wetmore_Oral_Equiv.R                                              |   66 +
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 httk-1.10.0/httk/R/get_cheminfo.R                                                        |  289 ++++-
 httk-1.10.0/httk/R/get_gfr_category.R                                                    |    3 
 httk-1.10.0/httk/R/get_httk_params.R                                                     |  168 +--
 httk-1.10.0/httk/R/get_rblood2plasma.R                                                   |   31 
 httk-1.10.0/httk/R/get_weight_class.R                                                    |    5 
 httk-1.10.0/httk/R/hematocrit_infants.R                                                  |    2 
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 httk-1.10.0/httk/R/httkpop.R                                                             |    1 
 httk-1.10.0/httk/R/httkpop_bio.R                                                         |    1 
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 httk-1.10.0/httk/R/httkpop_direct_resample_inner.R                                       |    5 
 httk-1.10.0/httk/R/httkpop_generate.R                                                    |  124 +-
 httk-1.10.0/httk/R/httkpop_virtual_indiv.R                                               |    2 
 httk-1.10.0/httk/R/in.list.R                                                             |  192 +++
 httk-1.10.0/httk/R/ionization_functions.R                                                |  118 +-
 httk-1.10.0/httk/R/load_sipes2017.R                                                      |   39 
 httk-1.10.0/httk/R/lump_tissues.R                                                        |   53 -
 httk-1.10.0/httk/R/modelinfo_1comp.R                                                     |    7 
 httk-1.10.0/httk/R/modelinfo_3comp.R                                                     |   13 
 httk-1.10.0/httk/R/modelinfo_3compss.R                                                   |    7 
 httk-1.10.0/httk/R/modelinfo_PBTK.R                                                      |   12 
 httk-1.10.0/httk/R/modelinfo_Schmitt.R                                                   |    4 
 httk-1.10.0/httk/R/monte_carlo.R                                                         |  145 ++
 httk-1.10.0/httk/R/parameterize_1comp.R                                                  |  101 +-
 httk-1.10.0/httk/R/parameterize_schmitt.R                                                |   96 +
 httk-1.10.0/httk/R/r_left_censored_norm.R                                                |    9 
 httk-1.10.0/httk/R/solve_1comp.R                                                         |  118 ++
 httk-1.10.0/httk/R/solve_3comp.R                                                         |  113 ++
 httk-1.10.0/httk/R/solve_pbtk.R                                                          |  210 +++-
 httk-1.10.0/httk/R/sysdata.rda                                                           |binary
 httk-1.10.0/httk/R/tissue_mass_functions.R                                               |  263 +++--
 httk-1.10.0/httk/R/tissue_masses_flows.R                                                 |    5 
 httk-1.10.0/httk/R/tissue_scale.R                                                        |    3 
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 httk-1.10.0/httk/data/datalist                                                           |    5 
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 httk-1.10.0/httk/man/age_dist_smooth.Rd                                                  |   30 
 httk-1.10.0/httk/man/age_draw_smooth.Rd                                                  |   15 
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 httk-1.10.0/httk/man/lump_tissues.Rd                                                     |   65 -
 httk-1.10.0/httk/man/mcnally_dt.Rd                                                       |   39 
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 httk-1.10.0/httk/man/nhanes_mec_svy.Rd                                                   |    2 
 httk-1.10.0/httk/man/onlyp.Rd                                                            |    9 
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 httk-1.10.0/httk/man/sipes2017.table.Rd                                                  |  159 ++-
 httk-1.10.0/httk/man/skeletal_muscle_mass.Rd                                             |    7 
 httk-1.10.0/httk/man/skeletal_muscle_mass_children.Rd                                    |    5 
 httk-1.10.0/httk/man/skin_mass_bosgra.Rd                                                 |    3 
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Package economiccomplexity updated to version 0.1.2 with previous version 0.1.0 dated 2019-07-02

Title: Methods Used in the Economic Complexity Literature
Description: A wrapper of different indices and networks commonly used in Economic Complexity to explore bipartite relations such as countries and their exported products. These methods are also useful for different kind of relations such as countries and their spoken languages. The functions within this package correspond to code implementations of the equations described in Hausmann, et al. (2005) <doi:10.3386/w11905>, Hausmann, et al. (2014) <doi:10.7551/mitpress/9647.001.0001>, and Mariani, et al. (2015) <doi:10.1140/epjb/e2015-60298-7>.
Author: Mauricio Vargas [aut, cre, cph] (<https://orcid.org/0000-0003-1017-7574>), Carlo Bottai [ctb] (improved the eigenvalues calculation), Diego Kozlowski [ctb] (provided initial RCA and proximity functions he used for his thesis), Mark Padgham [rev] (compared PRODY equations from different articles), Nico Pintar [rev] (suggested improvements to special cases in eigenvalues calculation), UN COMTRADE [dtc], The World Bank [dtc]
Maintainer: Mauricio Vargas <mvargas@dcc.uchile.cl>

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Package dbparser updated to version 1.0.3 with previous version 1.0.2 dated 2019-07-08

Title: 'DrugBank' Database XML Parser
Description: This tool is for parsing the 'DrugBank' XML database <http://drugbank.ca/>. The parsed data are then returned in a proper 'R' dataframe with the ability to save them in a given database.
Author: Mohammed Ali [aut, cre], Ali Ezzat [aut]
Maintainer: Mohammed Ali <moh_fcis@yahoo.com>

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Package clustrd updated to version 1.3.2 with previous version 1.3.1 dated 2019-05-08

Title: Methods for Joint Dimension Reduction and Clustering
Description: A class of methods that combine dimension reduction and clustering of continuous, categorical or mixed-type data. For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; <DOI:10.1016/S0167-9473(00)00064-5>) and reduced K-means (De Soete and Carroll 1994; <DOI:10.1007/978-3-642-51175-2_24>); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; <DOI:10.1007/s11336-004-1173-x>), i-FCB (Iodice D'Enza and Palumbo 2013, <DOI:10.1007/s00180-012-0329-x>) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; <DOI:10.1007/s11336-016-9514-0>), which combine multiple correspondence analysis with K-means. For mixed-type data, it provides mixed Reduced K-means and mixed Factorial K-means (van de Velden, Iodice D'Enza and Markos 2019; <DOI:10.1002/wics.1456>), which combine PCA for mixed-type data with K-means.
Author: Angelos Markos [aut, cre], Alfonso Iodice D'Enza [aut], Michel van de Velden [ctb]
Maintainer: Angelos Markos <amarkos@gmail.com>

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Package chandwich updated to version 1.1.2 with previous version 1.1.1 dated 2018-11-28

Title: Chandler-Bate Sandwich Loglikelihood Adjustment
Description: Performs adjustments of a user-supplied independence loglikelihood function using a robust sandwich estimator of the parameter covariance matrix, based on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This can be used for cluster correlated data when interest lies in the parameters of the marginal distributions or for performing inferences that are robust to certain types of model misspecification. Functions for profiling the adjusted loglikelihoods are also provided, as are functions for calculating and plotting confidence intervals, for single model parameters, and confidence regions, for pairs of model parameters. Nested models can be compared using an adjusted likelihood ratio test.
Author: Paul J. Northrop [aut, cre, cph], Richard E. Chandler [aut, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>

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Package beyondWhittle updated to version 1.1.1 with previous version 1.1 dated 2018-11-22

Title: Bayesian Spectral Inference for Stationary Time Series
Description: Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126> and A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470>. It was supported by DFG grant KI 1443/3-1.
Author: Alexander Meier [aut, cre], Claudia Kirch [aut], Matthew C. Edwards [aut], Renate Meyer [aut]
Maintainer: Alexander Meier <meier.alexander@posteo.de>

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Package iCARH updated to version 2.0.0 with previous version 1.0.0 dated 2019-06-04

Title: Integrative Conditional Autoregressive Horseshoe Model
Description: Implements the integrative conditional autoregressive horseshoe model discussed in Jendoubi, T., & Ebbels, T. (2018). "Integrative analysis of time course metabolic data and biomarker discovery". arXiv preprint <arXiv:1801.07767>. The model consists in three levels: Metabolic pathways level modeling interdependencies between variables via a conditional auto-regressive (CAR) component , integrative analysis level to identify potential associations between heterogeneous omic variables via a Horseshoe prior and experimental design level to capture experimental design conditions through a mixed-effects model. The package also provides functions to simulate data from the model, construct pathway matrices, post process and plot model parameters.
Author: Takoua Jendoubi [aut, cre], Timothy M.D. Ebbels [aut]
Maintainer: Takoua Jendoubi <t.jendoubi14@imperial.ac.uk>

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Package hisse updated to version 1.9.5 with previous version 1.9.4 dated 2019-05-10

Title: Hidden State Speciation and Extinction
Description: Sets up and executes a HiSSE model (Hidden State Speciation and Extinction) on a phylogeny and character sets to test for hidden shifts in trait dependent rates of diversification. Beaulieu and O'Meara (2016) <doi:10.1093/sysbio/syw022>.
Author: Jeremy Beaulieu [aut, cre], Brian O'Meara [aut], Daniel Caetano [aut]
Maintainer: Jeremy Beaulieu <jbeaulieu@nimbios.org>

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Package heatwaveR updated to version 0.4.0 with previous version 0.3.6 dated 2019-01-16

Title: Detect Heatwaves and Cold-Spells
Description: The different methods of defining and detecting extreme events, known as heatwaves or cold-spells in both air and water temperature data are encompassed within this package. These detection algorithms may be used on non-temperature data as well however, this is not catered for explicitly here as no use of this technique in the literature currently exists.
Author: Robert W. Schlegel [aut, cre, ctb] (<https://orcid.org/0000-0002-0705-1287>), Albertus J. Smit [aut, ctb] (<https://orcid.org/0000-0002-3799-6126>)
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>

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Package bookdown updated to version 0.12 with previous version 0.11 dated 2019-05-28

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Aust Frederik [ctb] (<https://orcid.org/0000-0003-4900-788X>), Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clifton Franklund [ctb], Daniel Emaasit [ctb], David Shuman [ctb], Dean Attali [ctb], Drew Tyre [ctb], Ellis Valentiner [ctb], Frans van Dunne [ctb], Hadley Wickham [ctb], Jeff Allen [ctb], Jennifer Bryan [ctb], Jonathan McPhers [ctb], Junwen Huang [ctb], Kevin Cheung [ctb], Kevin Ushey [ctb], Kim Seonghyun [ctb], Kirill Muller [ctb], Luciano Selzer [ctb], Matthew Lincoln [ctb], Maximilian Held [ctb], Michael Sachs [ctb], Michal Bojanowski [ctb], Noam Ross [ctb], Peter Hickey [ctb], Sahir Bhatnagar [ctb], Steve Simpson [ctb], Thierry Onkelinx [ctb] (<https://orcid.org/0000-0001-8804-4216>), Vincent Fulco [ctb], Yixuan Qiu [ctb], Zhuoer Dong [ctb], RStudio Inc [cph], Bartek Szopka [ctb] (The jQuery Highlight plugin), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/resources/AUTHORS), MathQuill contributors [ctb] (The MathQuill library; authors listed in inst/resources/AUTHORS), FriendCode Inc [cph, ctb] (The gitbook style, with modifications)
Maintainer: Yihui Xie <xie@yihui.name>

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Package rematch2 updated to version 2.1.0 with previous version 2.0.1 dated 2017-06-20

Title: Tidy Output from Regular Expression Matching
Description: Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy data frames.
Author: Gábor Csárdi [aut, cre], Matthew Lincoln [ctb]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package packageRank updated to version 0.2.0 with previous version 0.1.0 dated 2019-05-16

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package NeuralSens updated to version 0.0.5 with previous version 0.0.3 dated 2019-06-08

Title: Sensitivity Analysis of Neural Networks
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point.
Author: José Portela González [aut], Antonio Muñoz San Roque [aut], Jaime Pizarroso Gonzalo [ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@alu.comillas.edu>

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Package rehh updated to version 3.0.1 with previous version 3.0.0 dated 2019-07-09

Title: Searching for Footprints of Selection using 'Extended Haplotype Homozygosity' Based Tests
Description: Population genetic data such as 'Single Nucleotide Polymorphisms' (SNPs) is often used to identify genomic regions that have been under recent natural or artificial selection and might provide clues about the molecular mechanisms of adaptation. One approach, the concept of an 'Extended Haplotype Homozygosity' (EHH), introduced by (Sabeti 2002) <doi:10.1038/nature01140>, has given rise to several statistics designed for whole genome scans. The package provides functions to compute three of these, namely: 'iHS' (Voight 2006) <doi:10.1371/journal.pbio.0040072> for detecting positive or 'Darwinian' selection within a single population as well as 'Rsb' (Tang 2007) <doi:10.1371/journal.pbio.0050171> and 'XP-EHH' (Sabeti 2007) <doi:10.1038/nature06250>, targeted at differential selection between two populations. Various plotting functions are also included to facilitate visualization and interpretation of these statistics. Due to changes in the API, albeit mostly minor, this version is not compatible with versions 2.0.X.
Author: Mathieu Gautier, Alexander Klassmann and Renaud Vitalis
Maintainer: Alexander Klassmann <rehh@oneoverx.eu>

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Package redlistr updated to version 1.0.3 with previous version 1.0.2 dated 2018-11-02

Title: Tools for the IUCN Red List of Ecosystems and Species
Description: A toolbox created by members of the International Union for Conservation of Nature (IUCN) Red List of Ecosystems Committee for Scientific Standards. Primarily, it is a set of tools suitable for calculating the metrics required for making assessments of species and ecosystems against the IUCN Red List of Threatened Species and the IUCN Red List of Ecosystems categories and criteria. See the IUCN website for detailed guidelines, the criteria, publications and other information.
Author: Calvin Lee [cre, aut] (<https://orcid.org/0000-0001-8277-8614>), Nicholas Murray [aut] (<https://orcid.org/0000-0002-4008-3053>)
Maintainer: Calvin Lee <calvinkflee@gmail.com>

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Package rayshader updated to version 0.11.5 with previous version 0.11.4 dated 2019-07-10

Title: Create and Visualize Hillshaded Maps from Elevation Matrices
Description: Uses a combination of raytracing, spherical texture mapping, lambertian reflectance, and ambient occlusion to produce 2D and 3D data visualizations and maps. Includes water detection and layering functions, programmable color palette generation, several built-in textures for hill shading, 2D and 3D plotting options, and the ability to export 3D visualizations to a 3D printable format.
Author: Tyler Morgan-Wall
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package raster updated to version 2.9-23 with previous version 2.9-22 dated 2019-07-10

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported. There is a also support for vector data operations such as intersections. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], David Forrest [ctb], Aniruddha Ghosh [ctb], Duncan Golicher [ctb], Josh Gray [ctb], Jonathan A. Greenberg [ctb], Paul Hiemstra [ctb], Institute for Mathematics Applied Geosciences [cph], Charles Karney [ctb], Matteo Mattiuzzi [ctb], Steven Mosher [ctb], Jakub Nowosad [ctb], Edzer Pebesma [ctb], Oscar Perpinan Lamigueiro [ctb], Etienne B. Racine [ctb], Barry Rowlingson [ctb], Ashton Shortridge [ctb], Bill Venables [ctb], Rafael Wueest [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 2.9-22 dated 2019-07-10 and 2.9-23 dated 2019-07-11

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Package microseq updated to version 1.2.3 with previous version 1.2.2 dated 2018-02-12

Title: Basic Biological Sequence Handling
Description: Basic functions for microbial sequence data analysis. The idea is to use the basic R data structures as much as possible, without building complex data types.
Author: Lars Snipen, Kristian Hovde Liland
Maintainer: Lars Snipen <lars.snipen@nmbu.no>

Diff between microseq versions 1.2.2 dated 2018-02-12 and 1.2.3 dated 2019-07-11

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More information about microseq at CRAN
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Package kdensity updated to version 1.0.1 with previous version 1.0.0 dated 2018-02-27

Title: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels
Description: Handles univariate non-parametric density estimation with parametric starts and asymmetric kernels in a simple and flexible way. Kernel density estimation with parametric starts involves fitting a parametric density to the data before making a correction with kernel density estimation, see Hjort & Glad (1995) <doi:10.1214/aos/1176324627>. Asymmetric kernels make kernel density estimation more efficient on bounded intervals such as (0, 1) and the positive half-line. Supported asymmetric kernels are the gamma kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones & Henderson (2007) <doi:10.1093/biomet/asm068>. User-supplied kernels, parametric starts, and bandwidths are supported.
Author: Jonas Moss, Martin Tveten
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>

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New package genlasso with initial version 1.4
Package: genlasso
Type: Package
Title: Path Algorithm for Generalized Lasso Problems
Version: 1.4
Date: 2019-07-11
Author: Taylor B. Arnold and Ryan J. Tibshirani
Maintainer: Taylor Arnold <taylor.arnold@acm.org>
Description: Provides fast algorithms for computing the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two problems are given to improve stability and speed.
License: GPL (>= 2.0)
Depends: MASS, Matrix, igraph
ByteCompile: TRUE
URL: https://github.com/statsmaths/genlasso
Packaged: 2019-07-11 10:00:46 UTC; taylor
NeedsCompilation: yes
Repository: CRAN
RoxygenNote: 6.1.1
Date/Publication: 2019-07-11 13:32:48 UTC

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New package jackalope with initial version 0.1.2
Package: jackalope
Type: Package
Title: A Swift, Versatile Phylogenomic and High-Throughput Sequencing Simulator
Version: 0.1.2
Authors@R: person(c("Lucas", "A."), "Nell", email = "lucas@lucasnell.com", role = c("cph", "aut", "cre"), comment = c(ORCID = "0000-0003-3209-0517"))
Description: Simply and efficiently simulates (i) variants from reference genomes and (ii) reads from both Illumina <https://www.illumina.com/> and Pacific Biosciences (PacBio) <https://www.pacb.com/> platforms. It can either read reference genomes from FASTA files or simulate new ones. Genomic variants can be simulated using summary statistics, phylogenies, Variant Call Format (VCF) files, and coalescent simulations—the latter of which can include selection, recombination, and demographic fluctuations. 'jackalope' can simulate single, paired-end, or mate-pair Illumina reads, as well as PacBio reads. These simulations include sequencing errors, mapping qualities, multiplexing, and optical/polymerase chain reaction (PCR) duplicates. Simulating Illumina sequencing is based on ART by Huang et al. (2012) <doi:10.1093/bioinformatics/btr708>. PacBio sequencing simulation is based on SimLoRD by Stöcker et al. (2016) <doi:10.1093/bioinformatics/btw286>. All outputs can be written to standard file formats.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
biocViews:
Imports: ape, R6, Rcpp (>= 0.12.11), RcppProgress (>= 0.1), zlibbioc
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, Rhtslib, zlibbioc
SystemRequirements: C++11
RoxygenNote: 6.1.1
Suggests: coala, knitr, scrm, testthat, vcfR
VignetteBuilder: knitr
URL: https://github.com/lucasnell/jackalope
BugReports: https://github.com/lucasnell/jackalope/issues
NeedsCompilation: yes
Packaged: 2019-07-11 11:11:10 UTC; lucasnell
Author: Lucas A. Nell [cph, aut, cre] (<https://orcid.org/0000-0003-3209-0517>)
Maintainer: Lucas A. Nell <lucas@lucasnell.com>
Repository: CRAN
Date/Publication: 2019-07-11 12:12:44 UTC

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New package ICAMS with initial version 2.0.7
Package: ICAMS
Type: Package
Title: In-depth Characterization and Analysis of Mutational Signatures ('ICAMS')
Version: 2.0.7
Author: Steve Rozen, Nanhai Jiang, Arnoud Boot, Mo Liu
Maintainer: Steve Rozen <steverozen@gmail.com>
Description: Analysis and visualization of experimentally elucidated mutational signatures -- the kind of analysis and visualization in Boot et al., "In-depth characterization of the cisplatin mutational signature in human cell lines and in esophageal and liver tumors", Genome Research 2018, <doi:10.1101/gr.230219.117>. 'ICAMS' stands for In-depth Characterization and Analysis of Mutational Signatures. 'ICAMS' has functions to read in variant call files (VCFs) and to collate the corresponding catalogs of mutational spectra and to analyze and plot catalogs of mutational spectra and signatures. Handles both "counts-based" and "density-based" catalogs of mutational spectra or signatures.
License: GPL-3
URL: https://github.com/steverozen/ICAMS
BugReports: https://github.com/steverozen/ICAMS/issues
Encoding: UTF-8
LazyData: true
Language: en-US
biocViews:
Imports: Biostrings, BSgenome, BSgenome.Hsapiens.1000genomes.hs37d5, BSgenome.Hsapiens.UCSC.hg38, data.table, dplyr, GenomeInfoDb, GenomicRanges, graphics, grDevices, IRanges, RColorBrewer, stats, stringi, utils
Depends: R (>= 3.5),
RoxygenNote: 6.1.1
Suggests: testthat, BSgenome.Mmusculus.UCSC.mm10
NeedsCompilation: no
Packaged: 2019-07-08 03:20:22 UTC; steve
Repository: CRAN
Date/Publication: 2019-07-11 12:53:11 UTC

More information about ICAMS at CRAN
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Package cowplot updated to version 1.0.0 with previous version 0.9.4 dated 2019-01-08

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Provides various features that help with creating publication-quality figures with 'ggplot2', such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been used extensively in the book Fundamentals of Data Visualization.
Author: Claus O. Wilke [aut, cre] (<https://orcid.org/0000-0002-7470-9261>)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

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Permanent link

New package readwritesqlite with initial version 0.0.1
Package: readwritesqlite
Title: Enhanced Reading and Writing for 'SQLite' Databases
Version: 0.0.1
Authors@R: c( person("Joe", "Thorley", , "joe@poissonconsulting.ca", c("aut", "cre"), comment = c(ORCID = "0000-0002-7683-4592")), person("Poisson Consulting", role = c("cph", "fnd")) )
Description: Reads and writes data frames to 'SQLite' databases while preserving time zones (for POSIXct columns), projections (for 'sfc' columns), units (for 'units' columns), levels (for factors and ordered factors) and classes for logical, Date and 'hms' columns. It also logs changes to tables and provides more informative error messages.
License: MIT + file LICENSE
Depends: R (>= 3.4)
Imports: err, checkr, dttr2, hms, DBI, RSQLite, sf, tibble, units
Suggests: covr, testthat, knitr, rmarkdown
URL: https://github.com/poissonconsulting/readwritesqlite
BugReports: https://github.com/poissonconsulting/readwritesqlite/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-07-07 16:24:01 UTC; joe
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>
Repository: CRAN
Date/Publication: 2019-07-11 10:47:35 UTC

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New package NPP with initial version 0.1.0
Package: NPP
Type: Package
Title: Normalized Power Prior Bayesian Analysis
Version: 0.1.0
Author: Zifei Han, Tianyu Bai and Keying Ye
Maintainer: Zifei Han <hanzifei1@gmail.com>
Description: Posterior sampling in several commonly used distributions using normalized power prior as described in Duan, Ye and Smith (2006) <doi:10.1002/env.752> and Ibrahim et.al. (2015) <doi:10.1002/sim.6728>. Sampling of the power parameter is achieved via either independence Metropolis-Hastings or random walk Metropolis-Hastings based on transformation.
License: GPL (>= 2)
LazyData: true
Depends: R (>= 3.5.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-07-07 22:39:27 UTC; zifeihan
Repository: CRAN
Date/Publication: 2019-07-11 10:53:06 UTC

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New package altair with initial version 3.1.1
Package: altair
Version: 3.1.1
Title: Interface to 'Altair'
Description: Interface to 'Altair' <https://altair-viz.github.io>, which itself is a 'Python' interface to 'Vega-Lite' <https://vega.github.io/vega-lite>. This package uses the 'Reticulate' framework <https://rstudio.github.io/reticulate> to manage the interface between R and 'Python'.
Authors@R: c( person( given = "Ian", family = "Lyttle", email = "ian.lyttle@schneider-electric.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9962-4849") ), person("Haley", "Jeppson", email = "hjeppson@iastate.edu", role = c("aut")), person("Altair Developers", role = c("aut")), person( "Alicia", "Schep", email = "aschep@gmail.com", role = c("ctb"), comment = c(ORCID = "orcid.org/0000-0002-3915-0618") ), person("Jake", "Vanderplas", comment = "Altair library", role = c("ctb")), person("Brian", "Granger", comment = "Altair library", role = c("ctb")) )
SystemRequirements: Python (>= 3.5.0), (Python) Altair (>= 3.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
ByteCompile: true
URL: https://github.com/vegawidget/altair
BugReports: https://github.com/vegawidget/altair/issues
Imports: reticulate (>= 1.9), htmlwidgets, rlang (>= 0.1.2), assertthat, magrittr, jsonlite, utils, vegawidget (>= 0.2.1), repr
Suggests: httr, rprojroot, purrr, readr, knitr, rmarkdown, tibble, listviewer (>= 2.0.0), testthat, pryr, stringr, tidyr, dplyr, pkgdown, processx, rsvg, png, fs
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-07 15:00:42 UTC; sesa19001
Author: Ian Lyttle [aut, cre] (<https://orcid.org/0000-0001-9962-4849>), Haley Jeppson [aut], Altair Developers [aut], Alicia Schep [ctb] (<https://orcid.org/0000-0002-3915-0618>), Jake Vanderplas [ctb] (Altair library), Brian Granger [ctb] (Altair library)
Maintainer: Ian Lyttle <ian.lyttle@schneider-electric.com>
Repository: CRAN
Date/Publication: 2019-07-11 10:23:53 UTC

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Package BNPdensity updated to version 2019.7.9 with previous version 2017.03 dated 2017-03-02

Title: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
Description: Bayesian nonparametric density estimation modeling mixtures by a Ferguson-Klass type algorithm for posterior normalized random measures.
Author: Julyan Arbel [ctb], Ernesto Barrios [aut], Guillaume Kon Kam King [aut, cre], Antonio Lijoi [aut], Luis E. Nieto-Barajas [aut], Igor Prünster [aut]
Maintainer: Guillaume Kon Kam King <guillaume.konkamking.work@gmail.com>

Diff between BNPdensity versions 2017.03 dated 2017-03-02 and 2019.7.9 dated 2019-07-11

 CHANGES                                        |   13 
 DESCRIPTION                                    |   35 +
 MD5                                            |  203 ++++++-----
 NAMESPACE                                      |   25 +
 R/GOF_plots.R                                  |only
 R/MixNRMI1.R                                   |  165 +++++----
 R/MixNRMI1cens.R                               |  181 +++++----
 R/MixNRMI2.R                                   |  180 +++++----
 R/MixNRMI2cens.R                               |  198 +++++-----
 R/Mv.R                                         |   11 
 R/MvInv.R                                      |   94 ++++-
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 R/cpo.R                                        |    7 
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 R/dhalfnorm.R                                  |   11 
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 R/dk.R                                         |   80 ++--
 R/dkcens2.R                                    |   37 +-
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 R/fcondYZXAcens2.R                             |   30 -
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 R/gs5cens2.R                                   |   35 +
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 R/rhalfcauchy.R                                |    5 
 R/rhalfnorm.R                                  |    5 
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 man/Galaxy1.out.Rd                             |    4 
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 man/MixNRMI1.Rd                                |  454 ++++++++++++-------------
 man/MixNRMI1cens.Rd                            |  332 +++++++++---------
 man/MixNRMI2.Rd                                |  430 +++++++++++------------
 man/MixNRMI2cens.Rd                            |  322 ++++++++---------
 man/Mv.Rd                                      |   62 +--
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 120 files changed, 2498 insertions(+), 2171 deletions(-)

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New package DELTD with initial version 0.1.0
Package: DELTD
Type: Package
Title: Density Estimation by Life Time Distributions
Version: 0.1.0
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>
Description: It plots densities by using asymmetrical kernels which belong to life time distributions and calculate its related MSE. For details see Chen (2000), Jin and Kawczak (2003) and Salha et al. (2014) <doi:10.12988/pms.2014.4616>.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-06 07:25:17 UTC; Intag
Repository: CRAN
Date/Publication: 2019-07-11 08:10:07 UTC

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New package DEEVD with initial version 0.1.0
Package: DEEVD
Type: Package
Title: Density Estimation for Extreme Value Distribution
Version: 0.1.0
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>
Description: Provides mean square error (MSE) and plot the kernel densities related to extreme value distributions. By using Gumbel and Weibull Kernel. See Salha et al. (2014) <doi:10.4236/ojs.2014.48061> and Khan and Akbar (2019).
License: GPL-2
Imports: evd
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-06 17:41:30 UTC; Intag
Repository: CRAN
Date/Publication: 2019-07-11 08:35:09 UTC

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New package AsyK with initial version 0.1.0
Package: AsyK
Type: Package
Title: Density Estimation by Using Asymmetrical Kernels
Version: 0.1.0
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>
Description: Density estimation by using symmetrical kernels and to calculate mean square error. See Scaillet (2004) <doi:10.1080/10485250310001624819> and Khan and Akbar (2019).
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-06 06:58:06 UTC; Intag
Repository: CRAN
Date/Publication: 2019-07-11 07:59:29 UTC

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Package mize updated to version 0.2.2 with previous version 0.2.1 dated 2019-04-14

Title: Unconstrained Numerical Optimization Algorithms
Description: Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
Author: James Melville [aut, cre]
Maintainer: James Melville <jlmelville@gmail.com>

Diff between mize versions 0.2.1 dated 2019-04-14 and 0.2.2 dated 2019-07-11

 DESCRIPTION               |    6 +++---
 MD5                       |   22 +++++++++++-----------
 NEWS.md                   |   12 ++++++++++++
 R/schmidt.R               |    7 +++++--
 build/vignette.rds        |binary
 inst/doc/convergence.html |   22 +++++++++++-----------
 inst/doc/mize.Rmd         |    6 +++---
 inst/doc/mize.html        |   40 ++++++++++++++++++++--------------------
 inst/doc/mmds.html        |   28 ++++++++++++++--------------
 inst/doc/stateful.html    |    4 ++--
 tests/testthat/test_api.R |   16 ++++++++++++++++
 vignettes/mize.Rmd        |    6 +++---
 12 files changed, 100 insertions(+), 69 deletions(-)

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Package utile.visuals updated to version 0.2.0 with previous version 0.1.1 dated 2019-06-14

Title: Create Visuals for Publication
Description: A small set of functions for making visuals for publication in 'ggplot2'. Key functions include geom_stepconfint() for drawing a step confidence interval on a Kaplan-Meier curve and theme_white()/theme_black() which are minimalist 'ggplot2' themes with transparent backgrounds.
Author: Eric Finnesgard [aut, cre]
Maintainer: Eric Finnesgard <finnesgard.eric@mayo.edu>

Diff between utile.visuals versions 0.1.1 dated 2019-06-14 and 0.2.0 dated 2019-07-11

 DESCRIPTION             |   14 +++---
 MD5                     |   24 ++++++----
 NAMESPACE               |    4 +
 NEWS.md                 |    7 +++
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 man/theme_white.Rd      |    4 -
 16 files changed, 153 insertions(+), 37 deletions(-)

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Package commonsMath updated to version 1.2.4 with previous version 1.2.3 dated 2019-07-02

Title: JAR Files of the Apache Commons Mathematics Library
Description: Java JAR files for the Apache Commons Mathematics Library for use by users and other packages.
Author: David B. Dahl [cre], The Apache Software Foundation [aut, cph]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between commonsMath versions 1.2.3 dated 2019-07-02 and 1.2.4 dated 2019-07-11

 commonsMath-1.2.3/commonsMath/inst/java/commons-math3-3.6.1.jar                              |only
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 commonsMath-1.2.4/commonsMath/DESCRIPTION                                                    |   11 ++--
 commonsMath-1.2.4/commonsMath/LICENSE                                                        |   25 ---------
 commonsMath-1.2.4/commonsMath/MD5                                                            |   26 +++++-----
 commonsMath-1.2.4/commonsMath/NAMESPACE                                                      |    1 
 commonsMath-1.2.4/commonsMath/NEWS                                                           |    7 ++
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 commonsMath-1.2.4/commonsMath/R/zzz.R                                                        |only
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 commonsMath-1.2.4/commonsMath/inst/java/scala-2.13/commonsMath.jar                           |binary
 commonsMath-1.2.4/commonsMath/java/README                                                    |   10 +--
 commonsMath-1.2.4/commonsMath/java/commonsMath-source.jar                                    |binary
 commonsMath-1.2.4/commonsMath/tests/testthat/tests-transcompile.R                            |   24 ++++-----
 16 files changed, 44 insertions(+), 60 deletions(-)

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