Fri, 28 Oct 2016

Package rpostgis updated to version 1.0.3 with previous version 1.0.2 dated 2016-09-26

Title: R Interface to a 'PostGIS' Database
Description: Provides additional functions to the 'RPostgreSQL' package to interface R with a 'PostGIS'-enabled database, as well as convenient wrappers to common 'PostgreSQL' queries.
Author: Mathieu Basille [aut], David Bucklin [aut, cre]
Maintainer: David Bucklin <dbucklin@ufl.edu>

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Package RMixpanel updated to version 0.5-0 with previous version 0.4-1 dated 2016-09-21

Title: R API for Mixpanel
Description: Provides an interface to many endpoints of Mixpanel's Data Export, Engage and JQL API. The R functions allow for event and profile data export as well as for segmentation, retention, funnel and addiction analysis. Results are always parsed into convenient R objects. Furthermore it is possible to load and update profiles.
Author: Meinhard Ploner [aut, cre, cph], ProSiebenSat.1 Digital GmbH [cph]
Maintainer: Meinhard Ploner <meinhard.ploner@gmail.com>

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Package proto updated to version 1.0.0 with previous version 0.3-10 dated 2012-12-22

Title: Prototype Object-Based Programming
Description: An object oriented system using object-based, also called prototype-based, rather than class-based object oriented ideas.
Author: Hadley Wickham [cre], Gabor Grothendieck [aut], Louis Kates [aut], Thomas Petzoldt [aut]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package NetworkComparisonTest updated to version 2.0.1 with previous version 2.0.0 dated 2016-09-06

Title: Statistical Comparison of Two Networks Based on Three Invariance Measures
Description: This permutation based hypothesis test, suited for Gaussian and binary data, assesses the difference between two networks based on several invariance measures (network structure invariance, global strength invariance, edge invariance). Network structures are estimated with l1-regularized partial correlations (Gaussian data) or with l1-regularized logistic regression (eLasso, binary data). Suited for comparison of independent and dependent samples (currently, only for one group measured twice).
Author: Claudia D. van Borkulo, with contributions from Sacha Epskamp and Alex Millner
Maintainer: Claudia van Borkulo <cvborkulo@gmail.com>

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Package measurements updated to version 1.1.0 with previous version 1.0.0 dated 2016-07-26

Title: Tools for Units of Measurement
Description: Collection of tools to make working with physical measurements easier. Convert between metric and imperial units, or calculate a dimension's unknown value from other dimensions' measurements.
Author: Matthew A. Birk
Maintainer: Matthew A. Birk <matthewabirk@gmail.com>

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Package ltbayes updated to version 0.4 with previous version 0.3 dated 2014-07-28

Title: Simulation-Based Bayesian Inference for Latent Traits of Item Response Models
Description: Functions for simulating realizations from the posterior distribution of a latent trait of an item response model. Distributions are conditional on one or a subset of response patterns (e.g., sum scores). Functions for computing likelihoods, Fisher and observed information, posterior modes, and profile likelihood confidence intervals are also included. These functions are designed to be easily amenable to user-specified models.
Author: Timothy R. Johnson
Maintainer: Timothy R. Johnson <trjohns@uidaho.edu>

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Package immer updated to version 0.6-0 with previous version 0.5-0 dated 2016-05-31

Title: Item Response Models for Multiple Ratings
Description: Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program.
Author: Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package IMFData updated to version 0.2.0 with previous version 0.1.0 dated 2016-08-16

Title: R Interface for International Monetary Fund(IMF) Data API
Description: Search, extract and formulate IMF's datasets.
Author: Ming-Jer Lee [aut, cre]
Maintainer: Ming-Jer Lee <mingjerli@gmail.com>

Diff between IMFData versions 0.1.0 dated 2016-08-16 and 0.2.0 dated 2016-10-28

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Package heemod updated to version 0.5.1 with previous version 0.5.0 dated 2016-10-17

Title: Models for Health Economic Evaluation
Description: Health Economic Evaluation Modelling. Markov models (decision trees, homogeneous and non-homogeneous) for health economic evaluation. Model comparison, sensitivity and probabilistic analysis.
Author: Antoine Filipovic-Pierucci [aut, cre], Kevin Zarca [aut], Matthew Wiener [ctb], Zdenek Kabat [ctb], Vojtech Filipec [ctb]
Maintainer: Antoine Filipovic-Pierucci <pierucci@gmail.com>

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Package drat updated to version 0.1.2 with previous version 0.1.1 dated 2016-08-07

Title: Drat R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel with contributions by Carl Boettiger, Sebastian Gibb, Colin Gillespie, Jan Górecki, Matt Jones, Thomas Leeper, Steven Pav and Jan Schulz.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package acepack updated to version 1.4.1 with previous version 1.4.0 dated 2016-10-20

Title: ACE and AVAS for Selecting Multiple Regression Transformations
Description: Two nonparametric methods for multiple regression transform selection are provided. The first, Alternative Conditional Expectations (ACE), is an algorithm to find the fixed point of maximal correlation, i.e. it finds a set of transformed response variables that maximizes R^2 using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations for Multiple Regression and Correlation". Journal of the American Statistical Association. 80:580-598. <doi:10.1080/01621459.1985.10478157>]. Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations for Regression via Additivity and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of Frank Harrel's "Regression Modeling Strategies" in the Springer Series in Statistics.
Author: Phil Spector, Jerome Friedman, Robert Tibshirani, Thomas Lumley, Shawn Garbett, Jonathan Baron
Maintainer: Shawn Garbett <shawn.garbett@vanderbilt.edu>

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Package ShapeSelectForest updated to version 1.3 with previous version 1.2 dated 2015-12-25

Title: Shape Selection for Landsat Time Series of Forest Dynamics
Description: Landsat satellites collect important data about global forest conditions. Documentation about Landsat's role in forest disturbance estimation is available at the site <http://landsat.gsfc.nasa.gov/?p=9513>. By constrained quadratic B-splines, this package delivers an optimal shape-restricted trajectory to a time series of Landsat imagery for the purpose of modeling annual forest disturbance dynamics to behave in an ecologically sensible manner assuming one of seven possible "shapes", namely, flat, decreasing, one-jump (decreasing, jump up, decreasing), inverted vee (increasing then decreasing), vee (decreasing then increasing), linear increasing, and double-jump (decreasing, jump up, decreasing, jump up, decreasing). The main routine selects the best shape according to the minimum Bayes information criterion (BIC) or the cone information criterion (CIC), which is defined as the log of the estimated predictive squared error. The package also provides parameters summarizing the temporal pattern including year(s) of inflection, magnitude of change, pre- and post-inflection rates of growth or recovery. In addition, it contains routines for converting a flat map of disturbance agents to time-series disturbance maps and a graphical routine displaying the fitted trajectory of Landsat imagery.
Author: Mary C. Meyer, Xiyue Liao, Elizabeth Freeman, Gretchen G. Moisen
Maintainer: Xiyue Liao <xiyue@rams.colostate.edu>

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New package MIDN with initial version 1.0
Package: MIDN
Type: Package
Title: Nearly Exact Sample Size Calculation for Exact Powerful Nonrandomized Tests for Differences Between Binomial Proportions
Version: 1.0
Date: 2016-10-18
Author: Stefan Wellek, Peter Ziegler
Maintainer: Peter Ziegler <peter.ziegler@zi-mannheim.de>
Description: Implementation of the mid-n algorithms presented in Wellek S (2015) <DOI:10.1111/stan.12063> Statistica Neerlandica 69, 358-373 for exact sample size calculation for superiority trials with binary outcome.
License: CC0
Depends: BiasedUrn
NeedsCompilation: no
Packaged: 2016-10-28 07:46:54 UTC; ziegler
Repository: CRAN
Date/Publication: 2016-10-28 11:31:15

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Package detzrcr updated to version 0.1.2 with previous version 0.1.1 dated 2016-08-23

Title: Compare Detrital Zircon Suites
Description: Compare detrital zircon suites by uploading univariate, U-Pb age, or bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface. Outputs publication quality figures using 'ggplot2', and tables of statistics currently in use in the detrital zircon geochronology community.
Author: Magnus Kristoffersen [aut, cre]
Maintainer: Magnus Kristoffersen <magnus.kristoffersen@geo.uio.no>

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Package btb updated to version 0.1.3 with previous version 0.1.2 dated 2016-10-26

Title: Beyond the Border
Description: Kernel density estimation dedicated to urban geography.
Author: Psar Analyse Urbaine Insee - Thierry Cornely, Laure Genebes, Arlindo Dos Santos, Cynthia Faivre, Auriane Renaud and Francois Semecurbe
Maintainer: Arlindo Dos Santos <Arlindo.Dos-Santos@insee.fr>

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Package wsrf updated to version 1.7.0 with previous version 1.6.25 dated 2016-09-10

Title: Weighted Subspace Random Forest for Classification
Description: A parallel implementation of Weighted Subspace Random Forest. The Weighted Subspace Random Forest algorithm was proposed in the International Journal of Data Warehousing and Mining by Baoxun Xu, Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye (2012) <DOI:10.4018/jdwm.2012040103>. The algorithm can classify very high-dimensional data with random forests built using small subspaces. A novel variable weighting method is used for variable subspace selection in place of the traditional random variable sampling.This new approach is particularly useful in building models from high-dimensional data.
Author: Qinghan Meng [aut], He Zhao [aut, cre], Graham Williams [aut], Junchao Lv [ctb], Baoxun Xu [aut]
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

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New package spellcheckr with initial version 0.1.2
Package: spellcheckr
Type: Package
Title: Correct the Spelling of a Given Word in the English Language
Version: 0.1.2
Author: Selva Prabhakaran
Maintainer: Selva Prabhakaran <selva86@gmail.com>
Description: Corrects the spelling of a given word in English using a modification of Peter Norvig's spell correct algorithm (see <http://norvig.com/spell-correct.html>) which handles up to three edits. The algorithm tries to find the spelling with maximum probability of intended correction out of all possible candidate corrections from the original word.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Imports: data.table, dplyr, stringr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-27 13:30:41 UTC; selvaprabhakaran
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2016-10-28 10:04:43

More information about spellcheckr at CRAN
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New package raptr with initial version 0.0.1
Package: raptr
Type: Package
Title: Representative and Adequate Prioritization Toolkit in R
Version: 0.0.1
Authors@R: c(person(c("Jeffrey", "O"), "Hanson", email='jeffrey.hanson@uqconnect.edu.au', role = c("aut", "cre")), person(c("Jonathon", "R"), "Rhodes", role = c("aut")), person(c("Hugh", "P"), "Possingham", role = c("aut")), person(c("Richard", "A"), "Fuller", role = c("aut")))
Description: Biodiversity is in crisis. The overarching aim of conservation is to preserve biodiversity patterns and processes. To this end, protected areas are established to buffer species and preserve biodiversity processes. But resources are limited and so protected areas must be cost-effective. This package contains tools to generate plans for protected areas (prioritizations), using spatially explicit targets for biodiversity patterns and processes. To obtain solutions in a feasible amount of time, this package uses the commercial 'Gurobi' software package (obtained from <http://www.gurobi.com/>). Additionally, the 'rgurobi' package can also be installed to provide extra functionality (obtained from <http://github.com/jeffreyhanson/rgurobi>).
Imports: utils, boot, grDevices, PBSmapping, graphics, stats, scales, shape, Matrix, adehabitatHR, RgoogleMaps, RandomFields, RColorBrewer, plyr, parallel, doParallel, rgeos, hypervolume, ks, gdalUtils, mvtnorm, ggplot2, testthat
Depends: R(>= 3.1.0), methods, sp, rgdal, raster
LinkingTo: Rcpp, RcppEigen, BH
LazyData: true
License: GPL-3
URL: https://github.com/jeffreyhanson/raptr
BugReports: https://github.com/jeffreyhanson/raptr/issues
VignetteBuilder: knitr
Suggests: knitr, dplyr, vegan, gurobi, rgurobi, gridExtra, rgl
SystemRequirements: C++11
Collate: 'dependencies.R' 'RcppExports.R' 'raptr-internal.R' 'generics.R' 'DemandPoints.R' 'misc.R' 'PlanningUnitPoints.R' 'AttributeSpace.R' 'AttributeSpaces.R' 'GurobiOpts.R' 'ManualOpts.R' 'calcSpeciesAverageInPus.R' 'calcBoundaryData.R' 'RapData.R' 'RapReliableOpts.R' 'RapResults.R' 'RapUnreliableOpts.R' 'RapUnsolved.R' 'RapSolved.R' 'SpatialPolygons2PolySet.R' 'data.R' 'rap.R' 'raptr.R' 'rrap.proportion.held.R' 'sim.pus.R' 'sim.space.R' 'sim.species.R' 'urap.proportion.held.R' 'zzz.R'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-10-27 23:48:45 UTC; uqjhans4
Author: Jeffrey O Hanson [aut, cre], Jonathon R Rhodes [aut], Hugh P Possingham [aut], Richard A Fuller [aut]
Maintainer: Jeffrey O Hanson <jeffrey.hanson@uqconnect.edu.au>
Repository: CRAN
Date/Publication: 2016-10-28 10:51:18

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Package PatternClass updated to version 1.7.1 with previous version 1.5 dated 2013-07-23

Title: Class-Focused Pattern Metric Comparisons using Simulation
Description: Provides tools for estimating composition and configuration parameters from a categorical (binary) landscape map (grid) and then simulates a selected number of statistically similar landscapes. Class-focused pattern metrics are computed for each simulated map to produce empirical distributions against which statistical comparisons can be made. The code permits the analysis of single maps or pairs of maps.
Author: Tarmo K. Remmel, (Marie-Josee Fortin, Ferenc Csillag, Sandor Kabos)
Maintainer: Tarmo K. Remmel <remmelt@yorku.ca>

Diff between PatternClass versions 1.5 dated 2013-07-23 and 1.7.1 dated 2016-10-28

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 32 files changed, 203 insertions(+), 179 deletions(-)

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Package openssl updated to version 0.9.5 with previous version 0.9.4 dated 2016-05-25

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH pubkey parsers. Supports RSA, DSA and EC curves P-256, P-384 and P-521. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [cre, aut], Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between openssl versions 0.9.4 dated 2016-05-25 and 0.9.5 dated 2016-10-28

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 70 files changed, 493 insertions(+), 435 deletions(-)

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Package openair updated to version 1.9-0 with previous version 1.8-6 dated 2016-06-15

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 1.8-6 dated 2016-06-15 and 1.9-0 dated 2016-10-28

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 openair-1.9-0/openair/R/importKCL.R         |    2 
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 openair-1.9-0/openair/R/timeAverage.R       |   41 -
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 28 files changed, 1334 insertions(+), 1498 deletions(-)

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Package ontologyIndex updated to version 2.2 with previous version 2.0 dated 2016-08-03

Title: Functions for Reading Ontologies into R
Description: Functions for reading ontologies into R as lists and manipulating sets of ontological terms.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

Diff between ontologyIndex versions 2.0 dated 2016-08-03 and 2.2 dated 2016-10-28

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New package ggdmc with initial version 0.1.3.5
Package: ggdmc
Type: Package
Title: Dynamic Model of Choice with Parallel Computation, and C++ Capabilities
Version: 0.1.3.5
Date: 2016-09-30
Author: Yi-Shin Lin [aut, cre], Andrew Heathcote [aut]
Maintainer: Yi-Shin Lin <yishin.lin@utas.edu.au>
Description: A fast engine for computing hierarchical Bayesian model implemented in the Dynamic Model of Choice.
License: GPL-2
URL: https://github.com/TasCL/ggdmc
BugReports: https://github.com/TasCL/ggdmc/issues
LazyData: TRUE
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.3), ggplot2 (>= 2.1.0), coda, rtdists (>= 0.6-6), gridExtra (>= 2.2-1), ggmcmc (>= 0.7.3), ggthemes (>= 3.0.1), stats (>= 3.2.2), loo (>= 0.1.6)
LinkingTo: Rcpp (>= 0.12.3), RcppArmadillo (>= 0.6.700.6.0)
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-10-27 23:15:37 UTC; yslin
Repository: CRAN
Date/Publication: 2016-10-28 10:51:12

More information about ggdmc at CRAN
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Package epifit updated to version 0.1.1 with previous version 0.1.0 dated 2016-05-05

Title: Flexible Modelling Functions for Epidemiological Data Analysis
Description: Provides flexible model fitting used in epidemiological data analysis by a unified model specification, along with some data manipulation functions. This package covers fitting of variety models including Cox regression models, linear regression models, Poisson regression models, logistic models and others whose likelihood is expressed in negative binomial, gamma and Weibull distributions.
Author: Kazutaka Doi [aut,cre], Kei Sakabe [ctb], Masataka Taruri [ctb]
Maintainer: Kazutaka Doi <kztkdi@gmail.com>

Diff between epifit versions 0.1.0 dated 2016-05-05 and 0.1.1 dated 2016-10-28

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 epifit-0.1.1/epifit/src/mumul.cpp                     |   49 
 epifit-0.1.1/epifit/src/scanvarname.cpp               |only
 epifit-0.1.1/epifit/src/select.cpp                    |   63 
 46 files changed, 2305 insertions(+), 2135 deletions(-)

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Package doFuture updated to version 0.3.0 with previous version 0.2.1 dated 2016-09-08

Title: Foreach Parallel Adaptor using the Future API of the 'future' Package
Description: Provides a '%dopar%' adaptor such that any type of futures can be used as backends for the 'foreach' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between doFuture versions 0.2.1 dated 2016-09-08 and 0.3.0 dated 2016-10-28

 DESCRIPTION                  |    8 ++++----
 MD5                          |    9 +++++----
 NEWS                         |   11 +++++++++++
 R/doFuture.R                 |   18 +++++++++++++++++-
 tests/foreach,nested.R       |   37 ++++++++++++++++++++++++++++++-------
 tests/foreach,nested_dopar.R |only
 6 files changed, 67 insertions(+), 16 deletions(-)

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Package argparse updated to version 1.0.4 with previous version 1.0.1 dated 2014-04-05

Title: Command Line Optional and Positional Argument Parser
Description: A command line parser to be used with Rscript to write "#!" shebang scripts that gracefully accept positional and optional arguments and automatically generate usage.
Author: Trevor L Davis. Ports examples from the argparse Python module by the Python Software Foundation. Ports examples from the getopt package by Allen Day.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between argparse versions 1.0.1 dated 2014-04-05 and 1.0.4 dated 2016-10-28

 DESCRIPTION                    |   11 ++++----
 MD5                            |   18 ++++++-------
 NAMESPACE                      |    2 +
 NEWS                           |   21 +++++++++++++++
 R/argparse.R                   |   51 +++++++++++++++++++++++++++++++-------
 build/vignette.rds             |binary
 inst/doc/argparse.R            |   14 ----------
 inst/doc/argparse.pdf          |binary
 man/ArgumentParser.Rd          |   40 +++++++++++++++---------------
 tests/testthat/test-argparse.R |   54 ++++++++++++++++++++++++++++++++++++-----
 10 files changed, 147 insertions(+), 64 deletions(-)

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