Mon, 15 Jul 2019

Package TrackReconstruction updated to version 1.2 with previous version 1.1 dated 2014-04-03

Title: Reconstruct Animal Tracks from Magnetometer, Accelerometer, Depth and Optional Speed Data
Description: Reconstructs animal tracks from magnetometer, accelerometer, depth and optional speed data. Designed primarily using data from Wildlife Computers Daily Diary tags deployed on northern fur seals.
Author: Brian Battaile
Maintainer: Brian Battaile <brian.battaile@gmail.com>

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Package smerc updated to version 1.0.1 with previous version 1.0 dated 2019-07-14

Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

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Package simecol updated to version 0.8-13 with previous version 0.8-12 dated 2018-06-03

Title: Simulation of Ecological (and Other) Dynamic Systems
Description: An object oriented framework to simulate ecological (and other) dynamic systems. It can be used for differential equations, individual-based (or agent-based) and other models as well. It supports structuring of simulation scenarios (to avoid copy and paste) and aims to improve readability and re-usability of code.
Author: Thomas Petzoldt [aut, cre] (<https://orcid.org/0000-0002-4951-6468>)
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

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New package DynamicGP with initial version 1.1-4
Package: DynamicGP
Title: Modelling and Analysis of Dynamic Computer Experiments
Version: 1.1-4
Description: Emulating and solving inverse problems for dynamic computer experiments. It contains two major functionalities: (1) localized GP model for large-scale dynamic computer experiments using the algorithm proposed by Zhang et al. (2018) <arXiv:1611.09488>; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.
License: GPL (>= 2)
Date: 2019-06-27
Authors@R: c(person(given="Ru", family="Zhang", role = c("aut", "cre"), email="heavenmarshal@gmail.com"), person(given=c("Chunfang","Devon"), family="Lin", role= "aut"), person(given="Pritam", family="Ranjan", role= "aut"), person(given=c("Robert","B"), family="Gramacy", role= "ctb"), person(given="Nicolas", family="Devillard", role="ctb"), person(given="Jorge", family="Nocedal", role="ctb"), person(given=c("Jose","Luis"), family="Morales", role="ctb"), person(given="Ciyou", family="Zhu", role="ctb"), person(given="Richard", family="Byrd", role="ctb"), person(given="Peihuang", family="Lu-Chen", role="ctb"), person(given="Berend", family="Hasselman", role="ctb"), person("University of Chicago", role="cph"), person("University of California", role="cph"))
Maintainer: Ru Zhang <heavenmarshal@gmail.com>
Depends: R (>= 2.14)
Imports: lhs, parallel, stats
NeedsCompilation: yes
Packaged: 2019-07-15 15:37:51 UTC; rzhang
Author: Ru Zhang [aut, cre], Chunfang Devon Lin [aut], Pritam Ranjan [aut], Robert B Gramacy [ctb], Nicolas Devillard [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Peihuang Lu-Chen [ctb], Berend Hasselman [ctb], University of Chicago [cph], University of California [cph]
Repository: CRAN
Date/Publication: 2019-07-15 21:40:03 UTC

More information about DynamicGP at CRAN
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Package DescToolsAddIns updated to version 1.3 with previous version 1.2 dated 2019-05-07

Title: Interactive Functions to be Used as Shortcuts in 'RStudio'
Description: 'RStudio' as of recently offers the option to define addins and assign shortcuts to them. This package contains addins for a few most frequently used functions in a data scientist's (at least mine) daily work (like str(), example(), plot(), head(), view(), Desc()). Most of these functions will use the current selection in the editor window and send the specific command to the console while instantly executing it. Assigning shortcuts to these addins will save you quite a few keystrokes.
Author: Andri Signorell
Maintainer: Andri Signorell <andri@signorell.net>

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Package repurrrsive updated to version 1.0.0 with previous version 0.1.0 dated 2017-09-08

Title: Examples of Recursive Lists and Nested or Split Data Frames
Description: Recursive lists in the form of R objects, 'JSON', and 'XML', for use in teaching and examples. Examples include color palettes, Game of Thrones characters, 'GitHub' users and repositories, music collections, and entities from the Star Wars universe. Data from the 'gapminder' package is also included, as a simple data frame and in nested and split forms.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Charlotte Wickham [ctb]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package pcIRT updated to version 0.2.4 with previous version 0.2.3 dated 2018-04-30

Title: IRT Models for Polytomous and Continuous Item Responses
Description: Estimates the multidimensional polytomous Rasch model (Rasch, 1961) with conditional maximum likelihood estimation.
Author: Christine Hohensinn [cre,aut]
Maintainer: Christine Hohensinn <research@christinehohensinn.at>

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Package teamcolors updated to version 0.0.2 with previous version 0.0.1 dated 2017-10-01

Title: Color Palettes for Pro Sports Teams
Description: Provides color palettes corresponding to professional and amateur, sports teams. These can be useful in creating data graphics that are themed for particular teams.
Author: Benjamin S. Baumer [aut, cre], Gregory J. Matthews [aut], Luke Benz [ctb]
Maintainer: Benjamin S. Baumer <ben.baumer@gmail.com>

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Package damr updated to version 0.3.4 with previous version 0.3.3 dated 2019-04-08

Title: Interface to Drosophila Activity Monitor System Result Files
Description: Loads behavioural data from the widely used Drosophila Activity Monitor System (DAMS, TriKinetics <https://trikinetics.com/>) into the rethomics framework.
Author: Quentin Geissmann [aut, cre], Hadley Wickham [aut]
Maintainer: Quentin Geissmann <qgeissmann@gmail.com>

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Package rsimsum updated to version 0.6.0 with previous version 0.5.2 dated 2019-04-25

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (See White I.R., 2010 <http://www.stata-journal.com/article.html?article=st0200>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Ian R. White [aut]
Maintainer: Alessandro Gasparini <ag475@leicester.ac.uk>

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Package GetTDData updated to version 1.4.1 with previous version 1.4 dated 2019-04-02

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <http://www.tesouro.fazenda.gov.br/tesouro-direto-balanco-e-estatisticas>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package AzureContainers updated to version 1.1.0 with previous version 1.0.2 dated 2019-05-04

Title: Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure'
Description: An interface to container functionality in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/overview/containers/>. Manage 'Azure Container Instance' (ACI), 'Azure Container Registry' (ACR) and 'Azure Kubernetes Service' (AKS) resources, push and pull images, and deploy services. On the client side, lightweight shells to the 'docker', 'kubectl' and 'helm' commandline tools are provided. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Bill Liang [ctb] (Assistance debugging MMLS on Kubernetes), Ramkumar Chandrasekaran [ctb] (Original blog article on Dockerising MMLS), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

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Package Tushare updated to version 0.1.2 with previous version 0.1.1 dated 2018-11-02

Title: Interface to 'Tushare Pro' API
Description: Helps the R users to get data from 'Tushare Pro'<https://tushare.pro>. 'Tushare Pro' is a platform as well as a community with a lot of staffs working in financial area. We support financial data such as stock price, financial report statements and digital coins data.
Author: Feifei ZHANG
Maintainer: Feifei ZHANG<tushare_pro@163.com>

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Package tidypredict updated to version 0.4.2 with previous version 0.4.1 dated 2019-07-14

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Edgar Ruiz [aut, cre]
Maintainer: Edgar Ruiz <edgar@rstudio.com>

Diff between tidypredict versions 0.4.1 dated 2019-07-14 and 0.4.2 dated 2019-07-15

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Package sparsesvd updated to version 0.2 with previous version 0.1-4 dated 2018-02-15

Title: Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
Description: Wrapper around the 'SVDLIBC' library for (truncated) singular value decomposition of a sparse matrix. Currently, only sparse real matrices in Matrix package format are supported.
Author: Doug Rohde [aut], Michael Berry [aut], Theresa Do [aut], Gavin O'Brien [aut], Vijay Krishna [aut], Sowmini Varadhan [aut], University of Tennessee Research Foundation [cph] (files src/las2.c, src/svdlib.[ch], src/svdutil.[ch]), Stefan Evert [cre, aut, cph] (copyright holder for files src/main.c, R/*, man/*, tests/*)
Maintainer: Stefan Evert <stefan.evert@fau.de>

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Package grec updated to version 1.3.0 with previous version 1.2.2 dated 2018-09-12

Title: GRadient-Based RECognition of Spatial Patterns in Environmental Data
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>

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Package coalitions updated to version 0.6.10 with previous version 0.6.5 dated 2018-10-06

Title: Bayesian "Now-Cast" Estimation of Event Probabilities in Multi-Party Democracies
Description: An implementation of a Bayesian framework for the opinion poll based estimation of event probabilities in multi-party electoral systems (Bender and Bauer (2018) <doi:10.21105/joss.00606>).
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Alexander Bauer [aut] (<https://orcid.org/0000-0003-3495-5131>)
Maintainer: Andreas Bender <bender.at.R@gmail.com>

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Package Repliscope updated to version 1.1.0 with previous version 1.0.1 dated 2019-05-30

Title: Replication Timing Profiling using DNA Copy Number
Description: Create, Plot and Compare Replication Timing Profiles. The method is described in Muller et al., (2014) <doi: 10.1093/nar/gkt878>.
Author: Dzmitry G Batrakou
Maintainer: Dzmitry G Batrakou <d.batrakou@gmail.com>

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Package leiden updated to version 0.3.0 with previous version 0.2.3 dated 2019-02-11

Title: R Implementation of Leiden Clustering Algorithm
Description: Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tom.kelly@riken.jp>

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Package imagine updated to version 1.5.2 with previous version 1.4.0 dated 2018-05-06

Title: IMAGing engINE, Tools for Application of Image Filters to Data Matrices
Description: Provides fast application of image filters to data matrices, using R and C++ algorithms.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>

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Package aws.ec2metadata updated to version 0.2.0 with previous version 0.1.6 dated 2019-04-24

Title: Get EC2 Instance Metadata
Description: Retrieve Amazon EC2 instance metadata from within the running instance.
Author: Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Jonathan Stott [cre, aut]
Maintainer: Jonathan Stott <jonathan.stott@magairports.com>

Diff between aws.ec2metadata versions 0.1.6 dated 2019-04-24 and 0.2.0 dated 2019-07-15

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Package support updated to version 0.1.4 with previous version 0.1.3 dated 2019-05-23

Title: Support Points
Description: The 'support' package provides the functions sp() and sp_seq() for computing the support points in Mak and Joseph (2018) <DOI:10.1214/17-AOS1629>. Support points can be used as a representative sample of a desired distribution, or a representative reduction of a big dataset (e.g., an "optimal" thinning of Markov-chain Monte Carlo sample chains). This work was supported by USARO grant W911NF-14-1-0024 and NSF DMS grant 1712642.
Author: Simon Mak
Maintainer: Simon Mak <sm769@duke.edu>

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Package quantreg updated to version 5.42 with previous version 5.41 dated 2019-06-28

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

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Package deSolve updated to version 1.24 with previous version 1.23 dated 2019-06-29

Title: Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')
Description: Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing.
Author: Karline Soetaert [aut] (<https://orcid.org/0000-0003-4603-7100>), Thomas Petzoldt [aut, cre] (<https://orcid.org/0000-0002-4951-6468>), R. Woodrow Setzer [aut] (<https://orcid.org/0000-0002-6709-9186>), odepack authors [cph]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

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New package RRI with initial version 1.0
Package: RRI
Type: Package
Title: Residual Randomization Inference for Regression Models
Version: 1.0
Author: Panos Toulis
Maintainer: Panos Toulis <panos.toulis@chicagobooth.edu>
Description: Testing and inference for regression models using residual randomization methods. The basis of inference is an invariance assumption on the regression errors. This includes cluster errors, and exchangeability within clusters or sign symmetry across clusters.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-11 05:18:50 UTC; ptoulis
Repository: CRAN
Date/Publication: 2019-07-15 11:30:07 UTC

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New package offlineChange with initial version 0.0.1
Package: offlineChange
Title: Detect Multiple Change Points from Time Series
Version: 0.0.1
Authors@R: c( person("Jiahuan", "Ye", email = "jiahuanye431@gmail.com", role = c("aut","trl","cre")), person("Jie", "Ding", email = "dingj@umn.edu", role = c("aut")))
Description: Detect the number and locations of change points. The locations can be either exact or in terms of ranges, depending on the available computational resource. The method is based on Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh (2016) <arXiv:1605.00346v2>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: graphics (>= 3.6.0), utils (>= 3.6.0), stats (>= 3.5.1), Rcpp (>= 1.0.1)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL:
NeedsCompilation: yes
Packaged: 2019-07-11 05:39:51 UTC; Jiahuan
Author: Jiahuan Ye [aut, trl, cre], Jie Ding [aut]
Maintainer: Jiahuan Ye <jiahuanye431@gmail.com>
Repository: CRAN
Date/Publication: 2019-07-15 11:30:03 UTC

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New package NonNorMvtDist with initial version 1.0.1
Package: NonNorMvtDist
Type: Package
Title: Multivariate Lomax (Pareto Type II) and Its Related Distributions
Version: 1.0.1
Authors@R: c( person("Zhixin", "Lun", email = "zlun@oakland.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8980-1554")), person("Ravindra", "Khattree", email = "khattree@oakland.edu", role = "aut", comment = c(ORCID = "0000-0002-9305-2365")))
Maintainer: Zhixin Lun <zlun@oakland.edu>
Description: Implements calculation of probability density function, cumulative distribution function, equicoordinate quantile function and survival function, and random numbers generation for the following multivariate distributions: Lomax (Pareto Type II), generalized Lomax, Mardia’s Pareto of Type I, Logistic, Burr, Cook-Johnson’s uniform, F and Inverted Beta. See Tapan Nayak (1987) <doi:10.2307/3214068>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, cubature
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-10 21:53:22 UTC; Mr Lun
Author: Zhixin Lun [aut, cre] (<https://orcid.org/0000-0002-8980-1554>), Ravindra Khattree [aut] (<https://orcid.org/0000-0002-9305-2365>)
Repository: CRAN
Date/Publication: 2019-07-15 11:20:06 UTC

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New package icemelt with initial version 1.0
Package: icemelt
Type: Package
Title: Parameter Estimation in Linear Transformation Model with Interval-Censored Data and Covariate Measurement Error
Version: 1.0
Date: 2019-07-01
Author: Soutrik Mandal, Suojin Wang and Samiran Sinha
Maintainer: Soutrik Mandal <mandals3@mail.nih.gov>
Description: Estimates the parameters of the semiparametric linear transformation model using imputation method, naive method and regression calibration method when time-to-event is interval-censored and a covariate is measured with error. A right censoring indicator must be available. The methods implemented in this package can be found in Mandal, S., Wang, S. and Sinha, S. (2019+). Analysis of Linear Transformation Models with Covariate Measurement Error and Interval Censoring. (accepted, Statistics In Medicine).
License: GPL (>= 2)
Imports: survival(>= 2.39-5)
NeedsCompilation: yes
Packaged: 2019-07-11 04:19:59 UTC; Soutrik
Repository: CRAN
Date/Publication: 2019-07-15 11:20:03 UTC

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New package TSsmoothing with initial version 0.1.0
Package: TSsmoothing
Type: Package
Title: Trend Estimation of Univariate and Bivariate Time Series with Controlled Smoothness
Version: 0.1.0
Authors@R: c( person("L. Leticia", "Ramirez-Ramirez", email = "leticia.ramirez@cimat.mx", role = c("aut", "cre")), person("Alejandro", "Islas-Camargo", email = "", role = "aut"), person("Victor M.", "Guerrero", email = "", role = "aut"))
Description: It performs the smoothing approach provided by penalized least squares for univariate and bivariate time series, as proposed by Guerrero (2007) and Gerrero et al. (2017). This allows to estimate the time series trend by controlling the amount of resulting (joint) smoothness. --- Guerrero, V.M (2007) <DOI:10.1016/j.spl.2007.03.006>. Guerrero, V.M; Islas-Camargo, A. and Ramirez-Ramirez, L.L. (2017) <DOI:10.1080/03610926.2015.1133826>.
Depends: R (>= 3.5.0)
Imports: ggplot2(>= 3.2.0), MASS (>= 7.3.0), gridExtra (>= 2.3.0), Matrix (>= 1.2.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-10 15:32:03 UTC; hp
Author: L. Leticia Ramirez-Ramirez [aut, cre], Alejandro Islas-Camargo [aut], Victor M. Guerrero [aut]
Maintainer: L. Leticia Ramirez-Ramirez <leticia.ramirez@cimat.mx>
Repository: CRAN
Date/Publication: 2019-07-15 10:50:03 UTC

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Package shrinkTVP updated to version 1.0.1 with previous version 1.0.0 dated 2019-06-19

Title: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006>.
Author: Peter Knaus [aut, cre] (<https://orcid.org/0000-0001-6498-7084>), Angela Bitto-Nemling [aut], Annalisa Cadonna [aut] (<https://orcid.org/0000-0003-0360-7628>), Sylvia Frühwirth-Schnatter [aut] (<https://orcid.org/0000-0003-0516-5552>), Daniel Winkler [ctb], Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>

Diff between shrinkTVP versions 1.0.0 dated 2019-06-19 and 1.0.1 dated 2019-07-15

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 MD5                          |   19 +++++++++++--------
 NAMESPACE                    |    1 +
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New package modelsummary with initial version 0.1.0
Type: Package
Package: modelsummary
Title: Create Beautiful, Customizable, Publication-Ready Summary Tables for Statistical Models
Description: Create beautiful, customizable, publication-ready summary tables for statistical models. 'modelsummary' leverages the power of the 'gt' and 'broom' packages. It can produce tables in HTML, RTF, JPG, and LaTeX formats (text/markdown/ascii tables coming soon). The 'gt' package is hosted on 'Github' by the 'RStudio' organization: <http://github.com/rstudio/gt>.
Version: 0.1.0
Authors@R: person("Vincent", "Arel-Bundock", email = "vincent.arel-bundock@umontreal.ca", role = c("aut", "cre"))
URL: https://github.com/vincentarelbundock/modelsummary
BugReports: https://github.com/vincentarelbundock/modelsummary/issues
Depends: R (>= 3.4.0)
Imports: dplyr (>= 0.7.0), generics (>= 0.0.2), broom (>= 0.5.1), tidyr (>= 0.8.0), stringr (>= 1.3.0), purrr (>= 0.2.1), checkmate (>= 1.8.5), magrittr (>= 1.5), tibble (>= 1.4.2)
Suggests: testthat, sandwich, lmtest, knitr, MASS, mice, gt
License: GPL-3
Encoding: UTF-8
LazyData: false
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-10 13:31:33 UTC; vincent
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>
Repository: CRAN
Date/Publication: 2019-07-15 10:20:03 UTC

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New package mergeTrees with initial version 0.1.3
Package: mergeTrees
Type: Package
Title: Aggregating Trees
Version: 0.1.3
Authors@R: c( person("Audrey", "Hulot", role = c("aut", "cre"), email = "audrey.hulot@inra.fr"), person("Julien", "Chiquet", role = c("aut"), email = "julien.chiquet@inra.fr", comment = c(ORCID = "0000-0002-3629-3429")), person("Guillem", "Rigaill", role = c("aut"), email = "guillem.rigaill@inra.fr") )
Maintainer: Audrey Hulot <audrey.hulot@inra.fr>
Description: Aggregates a set of trees with the same leaves to create a consensus tree. The trees are typically obtained via hierarchical clustering, hence the hclust format is used to encode both the aggregated trees and the final consensus tree. The method is exact and proven to be O(nqlog(n)), n being the individuals and q being the number of trees to aggregate.
Encoding: UTF-8
LazyData: true
License: GPL (>= 2)
Imports: Rcpp
LinkingTo: Rcpp
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-07-10 11:07:50 UTC; hulot
Author: Audrey Hulot [aut, cre], Julien Chiquet [aut] (<https://orcid.org/0000-0002-3629-3429>), Guillem Rigaill [aut]
Repository: CRAN
Date/Publication: 2019-07-15 10:10:06 UTC

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New package ragg with initial version 0.1.0
Package: ragg
Type: Package
Title: Graphic Devices Based on AGG
Version: 0.1.0
Authors@R: c(person(given = "Thomas Lin", family = "Pedersen", role = c("cre", "aut"), email = "thomas.pedersen@rstudio.com", comment = c(ORCID = "0000-0002-5147-4711")), person(given = "Maxim", family = "Shemanarev", role = c("aut", "cph"), comment = "Author of AGG"), person(given = "Tony", family = "Juricic", role = c("ctb", "cph"), email = "tonygeek@yahoo.com", comment = "Contributor to AGG"), person(given = "Milan", family = "Marusinec", role = c("ctb", "cph"), email = "milan@marusinec.sk", comment = "Contributor to AGG"), person(given = "Spencer", family = "Garrett", role = "ctb", comment = "Contributor to AGG"), person(given = "RStudio", role = "cph"))
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>
Description: Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.
License: MIT + file LICENSE
URL: https://ragg.r-lib.org
BugReports: https://github.com/r-lib/ragg/issues
Encoding: UTF-8
RoxygenNote: 6.1.1
SystemRequirements: C++11, GNU Make, pkg-config, freetype2 libpng
Suggests: knitr, rmarkdown, ggplot2, devoid, bench, rlang, tidyr, ggridges, hexbin, dplyr, sessioninfo, magick
VignetteBuilder: knitr
Imports: systemfonts
NeedsCompilation: yes
Packaged: 2019-07-09 15:15:50 UTC; thomas
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Maxim Shemanarev [aut, cph] (Author of AGG), Tony Juricic [ctb, cph] (Contributor to AGG), Milan Marusinec [ctb, cph] (Contributor to AGG), Spencer Garrett [ctb] (Contributor to AGG), RStudio [cph]
Repository: CRAN
Date/Publication: 2019-07-15 09:20:03 UTC

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New package leaflet.providers with initial version 1.8.0
Package: leaflet.providers
Type: Package
Title: Leaflet Providers
Version: 1.8.0
Authors@R: c( person("Leslie", "Huang", email = "lesliehuang@nyu.edu", role = c("aut", "cre")), person("Leaflet Providers contributors", role = c("ctb", "cph"), comment = "Leaflet Providers plugin"), person("RStudio", role = c("cph", "fnd")) )
Maintainer: Leslie Huang <lesliehuang@nyu.edu>
Description: Contains third-party map tile provider information from 'Leaflet.js', <https://github.com/leaflet-extras/leaflet-providers>, to be used with the 'leaflet' R package. Additionally, 'leaflet.providers' enables users to retrieve up-to-date provider information between package updates.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: V8, jsonlite, testthat (>= 2.1.0)
Language: en-US
RoxygenNote: 6.1.1
Imports: htmltools
URL: https://github.com/rstudio/leaflet.providers
BugReports: https://github.com/rstudio/leaflet.providers/issues
Collate: 'providers_data.R' 'get_current_providers.R'
NeedsCompilation: no
Packaged: 2019-07-09 18:11:30 UTC; lesliehuang
Author: Leslie Huang [aut, cre], Leaflet Providers contributors [ctb, cph] (Leaflet Providers plugin), RStudio [cph, fnd]
Repository: CRAN
Date/Publication: 2019-07-15 09:40:03 UTC

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Package exuber updated to version 0.3.0 with previous version 0.2.1 dated 2019-03-01

Title: Econometric Analysis of Explosive Time Series
Description: Testing for and dating periods of explosive dynamics (exuberance) in time series using the univariate and panel recursive unit root tests proposed by Phillips et al. (2015) <doi:10.1111/iere.12132> and Pavlidis et al. (2016) <doi:10.1007/s11146-015-9531-2>. The recursive least-squares algorithm utilizes the matrix inversion lemma to avoid matrix inversion which results in significant speed improvements. Simulation of a variety of periodically-collapsing bubble processes.
Author: Kostas Vasilopoulos [cre, aut], Efthymios Pavlidis [aut], Simon Spavound [aut], Enrique Martínez-García [aut]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>

Diff between exuber versions 0.2.1 dated 2019-03-01 and 0.3.0 dated 2019-07-15

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 exuber-0.3.0/exuber/NEWS.md                          |   48 ++
 exuber-0.3.0/exuber/R/RcppExports.R                  |    1 
 exuber-0.3.0/exuber/R/autoplot.R                     |  323 +++++++++-----
 exuber-0.3.0/exuber/R/col_names.R                    |   16 
 exuber-0.3.0/exuber/R/data-crit.R                    |   15 
 exuber-0.3.0/exuber/R/deprecate.R                    |   23 -
 exuber-0.3.0/exuber/R/exuber-package.r               |   19 
 exuber-0.3.0/exuber/R/index.R                        |   59 +-
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 exuber-0.3.0/exuber/R/simul.R                        |  127 +++--
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New package CautiousLearning with initial version 1.0
Package: CautiousLearning
Type: Package
Title: Control Charts with Guaranteed In-Control Performance and Cautious Parameters Learning
Version: 1.0
Date: 2019-06-30
Author: Giovanna Capizzi and Guido Masarotto
Maintainer: Giovanna Capizzi <giovanna.capizzi@unipd.it>
Description: Design and use of control charts for detecting mean changes based on a delayed updating of the in-control parameter estimates. See Capizzi and Masarotto (2019) <doi:10.1080/00224065.2019.1640096> for the description of the method.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.0), spc
LinkingTo: Rcpp, sitmo, BH
NeedsCompilation: yes
Packaged: 2019-07-10 08:54:52 UTC; guido
Repository: CRAN
Date/Publication: 2019-07-15 09:50:03 UTC

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Package surveysd updated to version 1.1.0 with previous version 1.0.0 dated 2019-01-25

Title: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
Description: Calculate point estimates and their standard errors in complex household surveys using bootstrap replicates. Bootstrapping considers survey design with a rotating panel. A comprehensive description of the methodology can be found under <https://statistikat.github.io/surveysd/articles/methodology.html>.
Author: Johannes Gussenbauer [aut, cre], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>), Gregor de Cillia [aut], Matthias Till [ctb]
Maintainer: Johannes Gussenbauer <Johannes.Gussenbauer@statistik.gv.at>

Diff between surveysd versions 1.0.0 dated 2019-01-25 and 1.1.0 dated 2019-07-15

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 surveysd-1.1.0/surveysd/NEWS.md                                 |   30 
 surveysd-1.1.0/surveysd/R/RcppExports.R                         |   26 
 surveysd-1.1.0/surveysd/R/calc.stError.R                        | 1019 +++++-----
 surveysd-1.1.0/surveysd/R/computeFrac.R                         |   20 
 surveysd-1.1.0/surveysd/R/demo.eusilc.R                         |   48 
 surveysd-1.1.0/surveysd/R/draw.bootstrap.R                      |  445 ++--
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 surveysd-1.1.0/surveysd/R/helpers.R                             |   69 
 surveysd-1.1.0/surveysd/R/ipf.r                                 |  888 ++++----
 surveysd-1.1.0/surveysd/R/plot.R                                |  443 ++--
 surveysd-1.1.0/surveysd/R/print.R                               |   69 
 surveysd-1.1.0/surveysd/R/recalib.R                             |  386 ++-
 surveysd-1.1.0/surveysd/R/rescaled.bootstrap.R                  |  540 +++--
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Package GWmodel updated to version 2.1-3 with previous version 2.1-2 dated 2019-07-08

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

Diff between GWmodel versions 2.1-2 dated 2019-07-08 and 2.1-3 dated 2019-07-15

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Package growthPheno updated to version 1.0-15 with previous version 1.0-13 dated 2019-05-14

Title: Plotting, Smoothing and Growth Trait Extraction for Longitudinal Data
Description: Assists in producing longitudinal or profile plots of measured traits. These allow checks to be made for anomalous data and growth patterns in the data to be explored. Smoothing of growth trends for individual plants using smoothing splines is available for removing transient effects. There are tools for diagnosing the adequacy of trait smoothing, either using this package or other packages, such as those that fit nonlinear growth models. A range of per-unit (pot, plant, plot) growth traits can be extracted from longitudinal data, including single time-point smoothed trait values and their growth rates, interval growth rates and other growth statistics, such as maximum growth. The package is particularly suited to preparing data from high-throughput phenotyping facilities, such as imaging data from a Lemna-Tec Scananalyzer (see <http://www.lemnatec.com/products/hardware-solutions/scanalyzer-3d> for more information). The package 'growthPheno' can also be installed from <http://chris.brien.name/rpackages/>.
Author: Chris Brien [aut, cre] (<https://orcid.org/0000-0003-0581-1817>)
Maintainer: Chris Brien <chris.brien@unisa.edu.au>

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Package DVHmetrics updated to version 0.3.9 with previous version 0.3.8 dated 2019-03-26

Title: Analyze Dose-Volume Histograms and Check Constraints
Description: Functionality for analyzing dose-volume histograms (DVH) in radiation oncology: Read DVH text files, calculate DVH metrics as well as generalized equivalent uniform dose (gEUD), biologically effective dose (BED), equivalent dose in 2 Gy fractions (EQD2), normal tissue complication probability (NTCP), and tumor control probability (TCP). Show DVH diagrams, check and visualize quality assurance constraints for the DVH. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut], Heinz Schmidberger [ctb]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

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Package durmod updated to version 1.1 with previous version 1.0-3 dated 2019-07-01

Title: Mixed Proportional Hazard Competing Risk Model
Description: Estimation of piecewise constant mixed proportional hazard competing risk model with NPMLE. The model is described in S. Gaure et al. (2007) <doi:10.1016/j.jeconom.2007.01.015>, J. Heckman and B. Singer (1984) <doi:10.2307/1911491>, and B.G. Lindsay (1983) <doi:10.1214/aos/1176346059>.
Author: Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>)
Maintainer: Simen Gaure <simen@gaure.no>

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Package RcppArmadillo updated to version 0.9.600.4.0 with previous version 0.9.500.2.0 dated 2019-06-12

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package pbapply updated to version 1.4-1 with previous version 1.4-0 dated 2019-02-05

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends.
Author: Peter Solymos [aut, cre], Zygmunt Zawadzki [aut]
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between pbapply versions 1.4-0 dated 2019-02-05 and 1.4-1 dated 2019-07-15

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Package pagedown updated to version 0.3 with previous version 0.2 dated 2019-03-06

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>), Brent Thorne [aut] (<https://orcid.org/0000-0002-1099-3857>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), RStudio, Inc. [cph], Adam Hyde [ctb] (paged.js in resources/js/), Min-Zhong Lu [ctb] (resume.css in resources/css/), Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>

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Package VineCopula updated to version 2.2.0 with previous version 2.1.8 dated 2018-09-18

Title: Statistical Inference of Vine Copulas
Description: Provides tools for the statistical analysis of vine copula models. The package includes tools for parameter estimation, model selection, simulation, goodness-of-fit tests, and visualization. Tools for estimation, selection and exploratory data analysis of bivariate copula models are also provided.
Author: Thomas Nagler [aut, cre], Ulf Schepsmeier [aut], Jakob Stoeber [aut], Eike Christian Brechmann [aut], Benedikt Graeler [aut], Tobias Erhardt [aut], Carlos Almeida [ctb], Aleksey Min [ctb, ths], Claudia Czado [ctb, ths], Mathias Hofmann [ctb], Matthias Killiches [ctb], Harry Joe [ctb], Thibault Vatter [ctb]
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

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Package sismonr updated to version 1.1.3 with previous version 1.1.2 dated 2019-05-24

Title: Simulation of in Silico Multi-Omic Networks
Description: A tool for the simulation of gene expression profiles for in silico regulatory networks. The package generates gene regulatory networks, which include protein-coding and noncoding genes linked via different types of regulation: regulation of transcription, translation, RNA or protein decay, and post-translational modifications. The effect of genetic mutations on the system behaviour is accounted for via the simulation of genetically different in silico individuals. The ploidy of the system is not restricted to the usual haploid or diploid situations, but is defined by the user. A choice of stochastic simulation algorithms allow us to simulate the expression profiles (RNA and if applicable protein abundance) of the genes in the in silico system for the different in silico individuals. A tutorial explaining how to use the package is available at <https://oliviaab.github.io/sismonr/>. Manuscript in preparation; see also Angelin-Bonnet O., Biggs P.J. and Vignes M. (2018) <doi:10.1109/BIBM.2018.8621131>.
Author: Olivia Angelin-Bonnet [aut, cre] (<https://orcid.org/0000-0002-7708-2919>), Patrick Biggs [aut] (<https://orcid.org/0000-0002-0285-4101>), Matthieu Vignes [aut] (<https://orcid.org/0000-0001-8929-2975>), John M. Chambers [ctb]
Maintainer: Olivia Angelin-Bonnet <olivia.angelinbonnet@gmail.com>

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Package revtools updated to version 0.4.0 with previous version 0.3.0 dated 2018-11-29

Title: Tools to Support Evidence Synthesis
Description: Researchers commonly need to summarize scientific information, a process known as 'evidence synthesis'. The first stage of a synthesis process (such as a systematic review or meta-analysis) is to download a list of references from academic search engines such as 'Web of Knowledge' or 'Scopus'. The traditional approach to systematic review is then to sort these data manually, first by locating and removing duplicated entries, and then screening to remove irrelevant content by viewing titles and abstracts (in that order). 'revtools' provides interfaces for each of these tasks. An alternative approach, however, is to draw on tools from machine learning to visualise patterns in the corpus. In this case, you can use 'revtools' to render ordinations of text drawn from article titles, keywords and abstracts, and interactively select or exclude individual references, words or topics.
Author: Martin J. Westgate [aut, cre]
Maintainer: Martin J. Westgate <martinjwestgate@gmail.com>

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Package pyramid updated to version 1.5 with previous version 1.4 dated 2014-09-06

Title: Draw Population Pyramid
Description: Drawing population pyramid using (1) data.frame or (2) vectors. The former is named as pyramid() and the latter pyramids(), as wrapper function of pyramid(). pyramidf() is the function to draw population pyramid within the specified frame.
Author: Minato Nakazawa <minato-nakazawa@umin.net>
Maintainer: Minato Nakazawa <minato-nakazawa@umin.net>

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