Wed, 08 Nov 2017

Package RcmdrPlugin.GWRM updated to version 1.0.2 with previous version 1.0.1 dated 2016-02-28

Title: R Commander Plug-in for Fitting Generalized Waring Regression Models
Description: Provides an Rcmdr "plug-in" based on the GWRM package.
Author: Silverio Vilchez-Lopez [aut, cre], Antonio Jose Saez-Castillo [aut], Maria Jose Olmo-Jimenez [aut]
Maintainer: Silverio Vilchez-Lopez <silverio.vilchez@gmail.com>

Diff between RcmdrPlugin.GWRM versions 1.0.1 dated 2016-02-28 and 1.0.2 dated 2017-11-08

 RcmdrPlugin.GWRM-1.0.1/RcmdrPlugin.GWRM/tests                           |only
 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/DESCRIPTION                     |   15 ++++----
 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/MD5                             |   14 ++++----
 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/NAMESPACE                       |    2 -
 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/R/RcmdrPlugin.GWRM.r            |   17 ++--------
 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/inst/etc/model-capabilities.txt |only
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 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/man/RcmdrPlugin.Utility.Rd      |   11 ++----
 RcmdrPlugin.GWRM-1.0.2/RcmdrPlugin.GWRM/man/generalizedWaringModel.Rd   |    9 ++---
 9 files changed, 38 insertions(+), 47 deletions(-)

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Package prophet updated to version 0.2.1 with previous version 0.2 dated 2017-09-12

Title: Automatic Forecasting Procedure
Description: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers.
Author: Sean Taylor [cre, aut], Ben Letham [aut]
Maintainer: Sean Taylor <sjt@fb.com>

Diff between prophet versions 0.2 dated 2017-09-12 and 0.2.1 dated 2017-11-08

 DESCRIPTION                   |    8 ++---
 MD5                           |    8 ++---
 R/prophet.R                   |   38 +++++++++++++++++---------
 inst/doc/quick_start.html     |   30 ++++++++++----------
 tests/testthat/test_prophet.R |   61 +++++++++++++++++++++++++++---------------
 5 files changed, 88 insertions(+), 57 deletions(-)

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Package lmomco updated to version 2.2.9 with previous version 2.2.7 dated 2017-03-08

Title: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Description: Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) resid life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances- covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp Poisson [L], Gen Extreme Value [L], Gen Lambda [L,TL], Gen Logistic [L), Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric associations.
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

Diff between lmomco versions 2.2.7 dated 2017-03-08 and 2.2.9 dated 2017-11-08

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 lmomco-2.2.9/lmomco/DESCRIPTION             |    8 -
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 lmomco-2.2.9/lmomco/NAMESPACE               |    6 
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 lmomco-2.2.9/lmomco/R/lmomkap.R             |  224 ++++++----------------------
 lmomco-2.2.9/lmomco/R/mle2par.R             |   22 ++
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 lmomco-2.2.9/lmomco/man/x2xlo.Rd            |    7 
 62 files changed, 465 insertions(+), 469 deletions(-)

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Package intsvy updated to version 2.1 with previous version 2.0 dated 2017-06-15

Title: International Assessment Data Manager
Description: Provides tools for importing, merging, and analysing data from international assessment studies (TIMSS, PIRLS, PISA. ICILS, and PIAAC).
Author: Daniel Caro <daniel.caro@education.ox.ac.uk>, Przemyslaw Biecek <przemyslaw.biecek@gmail.com>
Maintainer: Daniel Caro <daniel.caro@education.ox.ac.uk>

Diff between intsvy versions 2.0 dated 2017-06-15 and 2.1 dated 2017-11-08

 DESCRIPTION                 |    8 ++--
 MD5                         |   37 ++++++++++----------
 R/intsvy.select.merge.R     |   21 +++++------
 R/intsvy.var.label.R        |   24 ++++++-------
 R/pirls.select.merge.R      |    4 +-
 R/pisa.select.merge.R       |    9 ++---
 R/pisa.var.label.R          |   17 ++-------
 R/plot.intsvy.mean.R        |    4 +-
 R/plot.intsvy.table.R       |   78 +++++++++++++++++++++++++++++++-------------
 R/timssg4.select.merge.R    |    4 +-
 R/timssg8.select.merge.R    |   10 ++---
 README.md                   |    3 +
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 man/intsvy.select.merge.Rd  |    5 --
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 man/plot.intsvy.table.Rd    |   12 ++++++
 man/timssg4.select.merge.Rd |    6 ---
 man/timssg8.select.merge.Rd |    5 --
 20 files changed, 143 insertions(+), 121 deletions(-)

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Package bigmemory updated to version 4.5.28 with previous version 4.5.27 dated 2017-11-08

Title: Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Description: Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.
Author: Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, Peter Haverty <haverty.peter@gene.com>, and Charles Determan Jr. <cdetermanjr@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between bigmemory versions 4.5.27 dated 2017-11-08 and 4.5.28 dated 2017-11-08

 DESCRIPTION                      |   10 ++--
 MD5                              |   12 ++---
 NEWS                             |    3 +
 R/bigmemory.R                    |   80 +++++++++++++++++++++++++++++++--------
 inst/doc/Overview.pdf            |binary
 man/extract-methods.Rd           |   18 ++++++++
 tests/testthat/test_assignment.R |   60 +++++++++++++++++++++++++++++
 7 files changed, 156 insertions(+), 27 deletions(-)

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New package MOLHD with initial version 0.1
Package: MOLHD
Type: Package
Title: Multiple Objective Latin Hypercube Design
Version: 0.1
Author: Ruizhe Hou , Lu Lu
Maintainer: Ruizhe Hou <houruizhe1210@gmail.com>
Description: Generate the optimal maximin distance, minimax distance (only for low dimensions), and maximum projection designs within the class of Latin hypercube designs efficiently for computer experiments. Generate Pareto front optimal designs for each two of the three criteria and all the three criteria within the class of Latin hypercube designs efficiently. Provide criterion computing functions. References of this package can be found in Morris, M. D. and Mitchell, T. J. (1995) <doi:10.1016/0378-3758(94)00035-T>, Lu Lu and Christine M. Anderson-CookTimothy J. Robinson (2011) <doi:10.1198/Tech.2011.10087>, Joseph, V. R., Gul, E., and Ba, S. (2015) <doi:10.1093/biomet/asv002>.
Depends: R (>= 3.0.0)
Imports: fields, iterpc
License: LGPL
NeedsCompilation: yes
Repository: CRAN
Date: 2017-11-06
RoxygenNote: 6.0.1
Packaged: 2017-11-08 20:36:25 UTC; 18722
Date/Publication: 2017-11-08 20:45:23 UTC

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New package HIMA with initial version 1.0.5
Package: HIMA
Type: Package
Title: High-Dimensional Mediation Analysis
Version: 1.0.5
Date: 2017-11-05
Authors@R: c(person("Yinan","Zheng", role = c("aut","cre"), email = "y-zheng@northwestern.edu"), person("Haixiang","Zhang", role = c("aut"), email = "haixiang.zhang@tju.edu.cn"), person("Lifang","Hou", role = c("aut"), email = "l-hou@northwestern.edu"), person("Lei","Liu", role = c("aut","cph"), email = "lei.liu@wustl.edu"))
Description: Allows to estimate and test high-dimensional mediation effects based on sure independent screening and minimax concave penalty techniques. A joint significance test is used for mediation effect. Haixiang Zhang, Yinan Zheng, Zhou Zhang, Tao Gao, Brian Joyce, Grace Yoon, Wei Zhang, Joel Schwartz, Allan Just, Elena Colicino, Pantel Vokonas, Lihui Zhao, Jinchi Lv, Andrea Baccarelli, Lifang Hou, Lei Liu (2016) <doi:10.1093/bioinformatics/btw351>.
License: GPL-3
Depends: R (>= 3.3), ncvreg
Imports: stats, iterators, parallel, foreach, doParallel
Collate: utils.R simHIMA.R hima.R HIMA-package.R
LazyData: false
URL: https://github.com/YinanZheng/HIMA
BugReports: https://github.com/YinanZheng/HIMA/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-08 19:26:29 UTC; yzk256
Author: Yinan Zheng [aut, cre], Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>
Repository: CRAN
Date/Publication: 2017-11-08 20:29:10 UTC

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New package rreg with initial version 0.1.1
Package: rreg
Title: Visualization for Norwegian Health Quality Registries
Version: 0.1.1
Authors@R: person("Yusman", "Kamaleri", email = "ybkamaleri@gmail.com", role = c("aut", "cre"))
Description: Assists for presentation and visualization of data from the Norwegian Health Quality Registries following the standardization based on the requirement specified by the National Service for Health Quality Registries. This requirement can be accessed from (<https://www.kvalitetsregistre.no/resultater-til-publisering-pa-nett>). Unfortunately the website is only available in Norwegian.
Depends: R (>= 3.3.2)
Imports: ggplot2 (>= 2.1.0), directlabels, grid
Suggests: data.table, gridExtra, testthat
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-07 23:01:27 UTC; yusman
Author: Yusman Kamaleri [aut, cre]
Maintainer: Yusman Kamaleri <ybkamaleri@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-08 19:15:01 UTC

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New package GeDS with initial version 0.1.2
Package: GeDS
Type: Package
Title: Geometrically Designed Spline Regression
Version: 0.1.2
Date: 2017-11-08
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <Andrea.Lattuada@unicatt.it> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Andrea Lattuada <Andrea.Lattuada@unicatt.it>
Description: Geometrically Designed Spline ('GeDS') Regression is a non-parametric geometrically motivated method for fitting variable knots spline predictor models in one or two independent variables, in the context of generalized (non-)linear models. 'GeDS' estimates the number and position of the knots and the order of the spline, assuming the response variable has a distribution from the exponential family. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2017) <https://openaccess.city.ac.uk/18460>.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.0.1), Rcpp (>= 0.12.1), splines, stats, utils, Matrix, methods, Rmpfr
LinkingTo: Rcpp
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-11-08 08:18:41 UTC; Andrea Lattuada
Repository: CRAN
Date/Publication: 2017-11-08 19:24:24 UTC

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New package condusco with initial version 0.1.0
Package: condusco
Type: Package
Title: Query-Driven Pipeline Execution and Query Templates
Version: 0.1.0
Author: Roland Stevenson
Maintainer: Roland Stevenson <roland@rmg-services.com>
Description: Runs a function iteratively over each row of either a dataframe or the results of a query. Use the 'BigQuery' and 'DBI' wrappers to iteratively pass each row of query results to a function. If a field contains a 'JSON' string, it will be converted to an object. This is helpful for queries that return 'JSON' strings that represent objects. These fields can then be treated as objects by the pipeline.
License: GPL-3
URL: https://github.com/ras44/condusco
BugReports: https://github.com/ras44/condusco/issues
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, whisker, testthat, RSQLite
VignetteBuilder: knitr
Depends: R (>= 3.3.2), jsonlite, assertthat, bigrquery, DBI
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-11-08 09:40:38 UTC; rstevenson
Repository: CRAN
Date/Publication: 2017-11-08 19:30:17 UTC

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Package StatCharrms updated to version 0.90.6 with previous version 0.90.4 dated 2017-06-20

Title: Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies
Description: A front end for the statistical analyses involved in the tier II endocrine disruptor screening program. The analyses available to this package are: Rao-Scott adjusted Cochran-Armitage test for trend By Slices (RSCABS), a Standard Cochran-Armitage test for trend By Slices (SCABS), mixed effects Cox proportional model, Jonckheere-Terpstra step down trend test Dunn test, one way ANOVA, weighted ANOVA, mixed effects ANOVA, repeated measures ANOVA, and Dunnett test.
Author: Joe Swintek [aut, cre], Kevin Flynn [ctb], Jon Haselman [ctb]
Maintainer: Joe Swintek <swintek.joe@epa.gov>

Diff between StatCharrms versions 0.90.4 dated 2017-06-20 and 0.90.6 dated 2017-11-08

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Package deepboost updated to version 0.1.6 with previous version 0.1.5 dated 2016-12-29

Title: Deep Boosting Ensemble Modeling
Description: Provides deep boosting models training, evaluation, predicting and hyper parameter optimising using grid search and cross validation. Based on Google's Deep Boosting algorithm, and Google's C++ implementation. Cortes, C., Mohri, M., & Syed, U. (2014) <http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.
Author: Daniel Marcous [aut, cre], Yotam Sandbank [aut], Google Inc. [cph]
Maintainer: Daniel Marcous <dmarcous@gmail.com>

Diff between deepboost versions 0.1.5 dated 2016-12-29 and 0.1.6 dated 2017-11-08

 DESCRIPTION                     |   10 +++---
 MD5                             |   66 ++++++++++++++++++++--------------------
 R/RcppExports.R                 |   10 ++++--
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Package multcomp updated to version 1.4-8 with previous version 1.4-7 dated 2017-09-07

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre], Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package bigmemory updated to version 4.5.27 with previous version 4.5.19 dated 2016-03-28

Title: Manage Massive Matrices with Shared Memory and Memory-Mapped Files
Description: Create, store, access, and manipulate massive matrices. Matrices are allocated to shared memory and may use memory-mapped files. Packages 'biganalytics', 'bigtabulate', 'synchronicity', and 'bigalgebra' provide advanced functionality.
Author: Michael J. Kane <kaneplusplus@gmail.com>, John W. Emerson <jayemerson@gmail.com>, Peter Haverty <haverty.peter@gene.com>, and Charles Determan Jr. <cdetermanjr@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

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Package seqHMM updated to version 1.0.8 with previous version 1.0.7 dated 2017-04-04

Title: Hidden Markov Models for Life Sequences and Other Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for easy plotting of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation.
Author: Jouni Helske, Satu Helske
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package REndo updated to version 1.3 with previous version 1.2 dated 2017-04-10

Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroskedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718>joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. This version: - includes an omitted variable test in the multilevel estimation. It is reported in the summary() function of the multilevelIV() function. - resolves the error "Error in listIDs[, 1] : incorrect number of dimensions" when using the multilevelIV() function. - a new simulated dataset is provided, dataMultilevelIV, on which to exemplify the multilevelIV() function.
Author: Raluca Gui, Markus Meierer, Rene Algesheimer
Maintainer: Raluca Gui <raluca.gui@business.uzh.ch>

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Package IDCard updated to version 0.2.0 with previous version 0.1.0 dated 2017-09-08

Title: Update Chinese ID Card Number to Eighteen Digits
Description: The digits of the old version (before 2000 year) of 'Chinese ID Card Number' is 15, this package aims to update to the current version of 18 digits.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

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Package graphon updated to version 0.2.0 with previous version 0.1.1 dated 2017-09-06

Title: A Collection of Graphon Estimation Methods
Description: Provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks. For a detailed introduction on graphon and popular estimation techniques, see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>. It also contains several auxiliary functions for generating sample networks using various network models and graphons.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kyou@nd.edu>

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Package FHtest updated to version 1.4 with previous version 1.3 dated 2015-07-31

Title: Tests for Right and Interval-Censored Survival Data Based on the Fleming-Harrington Class
Description: Functions to compare two or more survival curves with: a) The Fleming-Harrington test for right-censored data based on permutations and on counting processes. b) An extension of the Fleming-Harrington test for interval-censored data based on a permutation distribution and on a score vector distribution.
Author: Ramon Oller, Klaus Langohr
Maintainer: Ramon Oller <ramon.oller@uvic.cat>

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Package CovTools updated to version 0.2.0 with previous version 0.1.0 dated 2017-10-16

Title: Statistical Tools for Covariance Analysis
Description: Covariance is of universal prevalence across various disciplines within statistics. We provide a rich collection of geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for one-sample and two-sample cases, and covariance estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish (1987) <doi:10.1214/ss/1177013111>.
Author: Kyoungjae Lee [aut], Lizhen Lin [ctb], Kisung You [aut, cre]
Maintainer: Kisung You <kyou@nd.edu>

Diff between CovTools versions 0.1.0 dated 2017-10-16 and 0.2.0 dated 2017-11-08

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Package lintr updated to version 1.0.2 with previous version 1.0.1 dated 2017-08-10

Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text' and 'Atom'.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between lintr versions 1.0.1 dated 2017-08-10 and 1.0.2 dated 2017-11-08

 DESCRIPTION                    |    8 ++++----
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 NEWS.md                        |    3 +++
 README.md                      |    2 +-
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 tests/testthat/test-cache.R    |   18 +++++++-----------
 7 files changed, 23 insertions(+), 24 deletions(-)

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Package tweedie updated to version 2.3.0 with previous version 2.2.5 dated 2016-12-19

Title: Evaluation of Tweedie Exponential Family Models
Description: Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005) and the Fourier inversion (Dunn and Smyth, 2008), and related methods.
Author: Peter K. Dunn [cre, aut]
Maintainer: Peter K. Dunn <pdunn2@usc.edu.au>

Diff between tweedie versions 2.2.5 dated 2016-12-19 and 2.3.0 dated 2017-11-08

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Package RQuantLib updated to version 0.4.4 with previous version 0.4.3 dated 2016-08-19

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen (2009-2010), Terry Leitch (since 2016)
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.3 dated 2016-08-19 and 0.4.4 dated 2017-11-08

 ChangeLog                             |   90 ++
 DESCRIPTION                           |   14 
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 NAMESPACE                             |    6 
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 configure                             |   24 
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 33 files changed, 1454 insertions(+), 1141 deletions(-)

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New package prioritizr with initial version 3.0.1
Package: prioritizr
Type: Package
Version: 3.0.1
Title: Systematic Conservation Prioritization in R
Description: Conservation prioritization using integer programming techniques. To solve large-scale problems, users should install the 'gurobi' optimizer (available from <http://www.gurobi.com/>).
Authors@R: c(person(c('Jeffrey', 'O'), 'Hanson', email='jeffrey.hanson@uqconnect.edu.au', role = c('aut')), person(c('Richard'), 'Schuster', email='mail@richard-schuster.com', role = c('aut', 'cre')), person(c('Nina'), 'Morrell', email='nina.morrell@ubc.ca', role = c('aut')), person(c('Matthew'), 'Strimas-Mackey', email='mstrimas@gmail.com', role = c('aut')), person(c('Matthew', 'E'), 'Watts', email='m.watts@uq.edu.au', role = c('aut')), person(c('Peter'), 'Arcese', email='peter.arcese@ubc.ca', role = c('aut')), person(c('Joeseph'), 'Bennett', email='joseph.bennett@carleton.ca', role = c('aut')), person(c('Hugh', 'P'), 'Possingham', email='hugh.possingham@tnc.org', role = c('aut')))
Imports: utils, methods, proto, assertthat, data.table, uuid, Matrix, rgeos, plyr, parallel, doParallel, magrittr
Suggests: testthat, knitr, roxygen2, ape, shiny, xtable, rhandsontable, RandomFields, velox, maptools, PBSmapping, spdep, gurobi, lpsymphony, Rsymphony, rmarkdown
Depends: R(>= 3.3.2), raster, sp
LinkingTo: Rcpp, RcppArmadillo, BH
License: GPL-3
LazyData: true
SystemRequirements: C++11
URL: https://github.com/prioritizr/prioritizr
BugReports: https://github.com/prioritizr/prioritizr/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Collate: 'internal.R' 'pproto.R' 'Parameter-proto.R' 'ArrayParameter-proto.R' 'Parameters-proto.R' 'ScalarParameter-proto.R' 'parameters.R' 'waiver.R' 'ConservationModifier-proto.R' 'Penalty-proto.R' 'Constraint-proto.R' 'Collection-proto.R' 'ConservationProblem-proto.R' 'Decision-proto.R' 'Id.R' 'Objective-proto.R' 'OptimizationProblem-proto.R' 'OptimizationProblem-methods.R' 'Portfolio-proto.R' 'RcppExports.R' 'Solver-proto.R' 'Target-proto.R' 'add_absolute_targets.R' 'add_binary_decisions.R' 'add_boundary_penalties.R' 'add_connected_constraints.R' 'add_connectivity_penalties.R' 'add_corridor_constraints.R' 'add_cuts_portfolio.R' 'add_default_decisions.R' 'add_default_objective.R' 'add_default_portfolio.R' 'add_default_solver.R' 'add_default_targets.R' 'add_feature_weights.R' 'add_gurobi_solver.R' 'intersecting_units.R' 'add_locked_in_constraints.R' 'add_locked_out_constraints.R' 'add_loglinear_targets.R' 'add_lpsymphony_solver.R' 'add_max_cover_objective.R' 'add_max_features_objective.R' 'add_max_phylo_objective.R' 'add_max_utility_objective.R' 'add_min_set_objective.R' 'add_neighbor_contraints.R' 'add_proportion_decisions.R' 'add_relative_targets.R' 'add_rsymphony_solver.R' 'add_semicontinuous_decisions.R' 'add_shuffle_portfolio.R' 'boundary_matrix.R' 'branch_matrix.R' 'compile.R' 'connected_matrix.R' 'connectivity_matrix.R' 'constraints.R' 'data.R' 'decisions.R' 'parallel.R' 'fast_extract.R' 'magrittr-operators.R' 'marxan_problem.R' 'misc.R' 'objectives.R' 'package.R' 'penalties.R' 'portfolios.R' 'problem.R' 'rij_matrix.R' 'run_calculations.R' 'simulate.R' 'solve.R' 'solvers.R' 'targets.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2017-11-07 22:06:04 UTC; richard
Author: Jeffrey O Hanson [aut], Richard Schuster [aut, cre], Nina Morrell [aut], Matthew Strimas-Mackey [aut], Matthew E Watts [aut], Peter Arcese [aut], Joeseph Bennett [aut], Hugh P Possingham [aut]
Maintainer: Richard Schuster <mail@richard-schuster.com>
Repository: CRAN
Date/Publication: 2017-11-08 09:40:45 UTC

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Package geojson updated to version 0.2.0 with previous version 0.1.4 dated 2017-10-24

Title: Classes for 'GeoJSON'
Description: Classes for 'GeoJSON' to make working with 'GeoJSON' easier. Includes S3 classes for 'GeoJSON' classes with brief summary output, and a few methods such as extracting and adding bounding boxes, properties, and coordinate reference systems; linting through the 'geojsonlint' package; and serializing to/from 'Geobuf' binary 'GeoJSON' format.
Author: Scott Chamberlain [aut, cre], Jeroen Ooms [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between geojson versions 0.1.4 dated 2017-10-24 and 0.2.0 dated 2017-11-08

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Package lsl updated to version 0.5.6 with previous version 0.5.5 dated 2016-07-26

Title: Latent Structure Learning
Description: Fits structural equation modeling via penalized likelihood.
Author: Po-Hsien Huang [aut, cre]
Maintainer: Po-Hsien Huang <psyphh@gmail.com>

Diff between lsl versions 0.5.5 dated 2016-07-26 and 0.5.6 dated 2017-11-08

 DESCRIPTION          |   13 
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