Tue, 18 Jul 2017

Package wfe updated to version 1.6 with previous version 1.3 dated 2014-08-11

Title: Weighted Linear Fixed Effects Regression Models for Causal Inference
Description: Provides a computationally efficient way of fitting weighted linear fixed effects estimators for causal inference with various weighting schemes. Weighted linear fixed effects estimators can be used to estimate the average treatment effects under different identification strategies. This includes stratified randomized experiments, matching and stratification for observational studies, first differencing, and difference-in-differences. The package implements methods described in Imai and Kim (2017) "When should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?", available at <https://imai.princeton.edu/research/FEmatch.html>.
Author: In Song Kim [aut, cre], Kosuke Imai [aut], Erik Wang [aut]
Maintainer: In Song Kim <insong@mit.edu>

Diff between wfe versions 1.3 dated 2014-08-11 and 1.6 dated 2017-07-18

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Package toOrdinal updated to version 1.0-0.0 with previous version 0.0-6 dated 2016-03-06

Title: Cardinal to Ordinal Number Conversion
Description: Language specific cardinal to ordinal number conversion.
Author: Damian W. Betebenner [aut, cre], Andrew Martin [ctb], Jeff Erickson [ctb]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

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Package SuperLearner updated to version 2.0-22 with previous version 2.0-21 dated 2016-12-01

Title: Super Learner Prediction
Description: Implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner.
Author: Eric Polley [aut, cre], Erin LeDell [aut], Chris Kennedy [aut], Sam Lendle [ctb], Mark van der Laan [aut, ths]
Maintainer: Eric Polley <polley.eric@mayo.edu>

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Package subplex updated to version 1.4-1 with previous version 1.2-2 dated 2016-11-19

Title: Unconstrained Optimization using the Subplex Algorithm
Description: The subplex algorithm for unconstrained optimization, developed by Tom Rowan <http://www.netlib.org/opt/subplex.tgz>.
Author: Aaron A. King
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between subplex versions 1.2-2 dated 2016-11-19 and 1.4-1 dated 2017-07-18

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Package spef updated to version 1.0-4 with previous version 1.0-3 dated 2017-04-25

Title: Semiparametric Estimating Functions
Description: Functions for fitting semiparametric regression models for panel count survival data. An overview of the package can be found in Wang and Yan (2011) <doi:10.1016/j.cmpb.2010.10.005>.
Author: Sy Han (Steven) Chiou, Xiaojing Wang and Jun Yan
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>

Diff between spef versions 1.0-3 dated 2017-04-25 and 1.0-4 dated 2017-07-18

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New package social with initial version 1.0
Package: social
Type: Package
Title: Social Autocorrelation
Version: 1.0
Date: 2017-07-16
Author: Tom Pike
Maintainer: Tom Pike <tpike@lincoln.ac.uk>
Description: A set of functions to quantify and visualise social autocorrelation.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.9)
LinkingTo: Rcpp
Depends: stats, graphics
RoxygenNote: 6.0.1
LazyData: true
NeedsCompilation: yes
Packaged: 2017-07-18 20:21:09 UTC; Tom Pike
Repository: CRAN
Date/Publication: 2017-07-18 21:43:17 UTC

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New package sgmcmc with initial version 0.1.0
Package: sgmcmc
Type: Package
Title: Stochastic Gradient Markov Chain Monte Carlo
Version: 0.1.0
Authors@R: c( person("Jack", "Baker", email = "j.baker1@lancaster.ac.uk", role = c("aut", "cre", "cph")), person( "Christopher", "Nemeth", role = c("aut", "cph") ), person( "Paul", "Fearnhead", role = c( "aut", "cph" ) ), person( "Emily B.", "Fox", role = c("aut", "cph") ), person( "STOR-i", role = c( "cph" ) ))
Description: Provides functions that performs popular stochastic gradient Markov chain Monte Carlo (SGMCMC) methods on user specified models. The required gradients are automatically calculated using 'TensorFlow' <https://www.tensorflow.org/>, an efficient library for numerical computation. This means only the log likelihood and log prior functions need to be specified. The methods implemented include stochastic gradient Langevin dynamics (SGLD), stochastic gradient Hamiltonian Monte Carlo (SGHMC), stochastic gradient Nose-Hoover thermostat (SGNHT) and their respective control variate versions for increased efficiency.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0), tensorflow
SystemRequirements: TensorFlow (https://www.tensorflow.org/)
Suggests: testthat, MASS, knitr, ggplot2, rmarkdown
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 6.0.1
URL: https://github.com/STOR-i/sgmcmc
BugReports: https://github.com/STOR-i/sgmcmc/issues
NeedsCompilation: no
Packaged: 2017-07-18 19:07:06 UTC; jbaker
Author: Jack Baker [aut, cre, cph], Christopher Nemeth [aut, cph], Paul Fearnhead [aut, cph], Emily B. Fox [aut, cph], STOR-i [cph]
Maintainer: Jack Baker <j.baker1@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2017-07-18 21:55:24 UTC

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Package Rvmmin updated to version 2017-7.18 with previous version 2013-11.12 dated 2014-12-06

Title: Variable Metric Nonlinear Function Minimization
Description: Variable metric nonlinear function minimization with bounds constraints.
Author: John C. Nash [aut, cre]
Maintainer: John C. Nash <nashjc@uottawa.ca>

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New package PLmixed with initial version 0.1.0
Package: PLmixed
Title: Estimate (Generalized) Linear Mixed Models with Factor Structures
Version: 0.1.0
Authors@R: c(person("Minjeong", "Jeon", role = "aut"), person("Nicholas", "Rockwood", email = "rockwood.19@osu.edu", role = c("aut", "cre")))
Description: Utilizes the 'lme4' package and the optim() function from 'stats' to estimate (generalized) linear mixed models (GLMM) with factor structures using a profile likelihood approach, as outlined in Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628>. Factor analysis and item response models can be extended to allow for an arbitrary number of nested and crossed random effects, making it useful for multilevel and cross-classified models.
Depends: R (>= 3.2.2)
Imports: lme4, Matrix (>= 1.1.1), numDeriv, stats
Encoding: UTF-8
License: GPL (>= 2)
LazyData: true
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-07-18 19:42:03 UTC; nickrockwood
Author: Minjeong Jeon [aut], Nicholas Rockwood [aut, cre]
Maintainer: Nicholas Rockwood <rockwood.19@osu.edu>
Repository: CRAN
Date/Publication: 2017-07-18 21:49:57 UTC

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Package ouch updated to version 2.11-1 with previous version 2.9-2 dated 2015-07-10

Title: Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.
Author: Aaron A. King <kingaa@umich.edu> and Marguerite A. Butler <mbutler@hawaii.edu>
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between ouch versions 2.9-2 dated 2015-07-10 and 2.11-1 dated 2017-07-18

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Package optparse updated to version 1.4.4 with previous version 1.3.2 dated 2015-10-03

Title: Command Line Option Parser
Description: A command line parser inspired by Python's 'optparse' library to be used with Rscript to write "#!" shebang scripts that accept short and long flag/options.
Author: Trevor L Davis. Some documentation and examples ported from Allen Day's getopt package. Some documentation from the optparse Python module by the Python Software Foundation. Contributions from Steve Lianoglou, Jim Nikelski, Kirill Müller, Peter Humburg, and Rich FitzJohn.
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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Package getPass updated to version 0.2-1 with previous version 0.1-1 dated 2016-04-26

Title: Masked User Input
Description: A micro-package for reading "passwords", i.e. reading user input with masking, so that the input is not displayed as it is typed. Currently we have support for 'RStudio', the command line (every OS), and any platform where 'tcltk' is present.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], Gabor Csardi [ctb] (Improved terminal detection), Rich FitzJohn [ctb]
Maintainer: Drew Schmidt <wrathematics@gmail.com>

Diff between getPass versions 0.1-1 dated 2016-04-26 and 0.2-1 dated 2017-07-18

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Package configr updated to version 0.3.1 with previous version 0.3.0 dated 2017-06-22

Title: An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML)
Description: Implements the JSON, INI, YAML and TOML parser for R setting and writing of configuration file. The functionality of this package is similar to that of package 'config'.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

Diff between configr versions 0.3.0 dated 2017-06-22 and 0.3.1 dated 2017-07-18

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Package DecisionCurve (with last version 1.4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-07-14 1.4
2016-08-12 1.3
2016-01-13 1.1

Permanent link
Package blocksdesign updated to version 2.6 with previous version 2.5 dated 2017-06-15

Title: Nested and Crossed Block Designs for Factorial, Fractional Factorial and Unstructured Treatment Sets
Description: The 'blocksdesign' package constructs nested block and D-optimal factorial designs for any unstructured or factorial treatment model of any size. The nested block designs can have repeated nesting down to any required depth of nesting with either a simple set of nested blocks or a crossed row-and-column blocks design at each level of nesting. The block design at each level of nesting is optimized for D-efficiency within the blocks of each preceding set of blocks. The block sizes in any particular block classification are always as nearly equal as possible and never differ by more than a single plot. Outputs include a table showing the allocation of treatments to blocks, a plan layout showing the allocation of treatments within blocks (unstructured treatment designs only) the achieved D-efficiency and A-efficiency factors for the block and treatment design (factorial treatment designs only) and, where feasible, an A-efficiency upper bound for the block design (unstructured treatment designs only).
Author: R. N. Edmondson.
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

Diff between blocksdesign versions 2.5 dated 2017-06-15 and 2.6 dated 2017-07-18

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Package mbbefd updated to version 0.8.8.1 with previous version 0.8.8 dated 2017-02-21

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignettes show code snippets to fit the distribution to empirical data.
Author: Giorgio Spedicato [aut, cre], Christophe Dutang [aut], Markus Gesmann [ctb]
Maintainer: Giorgio Spedicato <spedicato_giorgio@yahoo.it>

Diff between mbbefd versions 0.8.8 dated 2017-02-21 and 0.8.8.1 dated 2017-07-18

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Package riverdist updated to version 0.15.0 with previous version 0.14.0 dated 2017-03-31

Title: River Network Distance Computation and Applications
Description: Reads river network shape files and computes network distances. Also included are a variety of computation and graphical tools designed for fisheries telemetry research, such as minimum home range, kernel density estimation, and clustering analysis using empirical k-functions with a bootstrap envelope. Tools are also provided for editing the river networks, meaning there is no reliance on external software.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matt.tyers@alaska.gov>

Diff between riverdist versions 0.14.0 dated 2017-03-31 and 0.15.0 dated 2017-07-18

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Package pinyin updated to version 1.1.0 with previous version 1.0.2 dated 2017-06-19

Title: Convert Chinese Characters into Pinyin
Description: Convert Chinese characters into Pinyin (the official romanization system for Standard Chinese in mainland China, Malaysia, Singapore, and Taiwan. See <https://en.wikipedia.org/wiki/Pinyin> for details).
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

Diff between pinyin versions 1.0.2 dated 2017-06-19 and 1.1.0 dated 2017-07-18

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New package denoiSeq with initial version 0.1.0
Package: denoiSeq
Type: Package
Title: Differential Expression Analysis Using a Bottom-Up Model
Version: 0.1.0
Authors@R: c(person("Gershom", "Buri", email = "buri@aims.edu.gh", role = c("aut","cre")),person("Wilfred", "Ndifon", email = "ndifon@gmail.com", role = "aut"))
Description: Given count data from two conditions, it determines which transcripts are differentially expressed across the two conditions using Bayesian inference of the parameters of a bottom-up model for PCR amplification. This model is developed in Ndifon Wilfred, Hilah Gal, Eric Shifrut, Rina Aharoni, Nissan Yissachar, Nir Waysbort, Shlomit Reich Zeliger, Ruth Arnon, and Nir Friedman (2012), <http://www.pnas.org/content/109/39/15865.full>, and results in a distribution for the counts that is a superposition of the binomial and negative binomial distribution.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: methods, stats, utils
Suggests: devtools, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-18 19:00:16 UTC; buri
Author: Gershom Buri [aut, cre], Wilfred Ndifon [aut]
Maintainer: Gershom Buri <buri@aims.edu.gh>
Repository: CRAN
Date/Publication: 2017-07-18 19:15:45 UTC

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Package PRIMsrc updated to version 0.7.2 with previous version 0.7.1 dated 2017-06-24

Title: PRIM Survival Regression Classification
Description: Performs a unified treatment of Bump Hunting by Patient Rule Induction Method (PRIM) in Survival, Regression and Classification settings (SRC). The current version is a development release that only implements the case of a survival response. New features will be added soon as they are available.
Author: Jean-Eudes Dazard [aut, cre], Michael Choe [ctb], Michael LeBlanc [ctb], Alberto Santana [ctb]
Maintainer: Jean-Eudes Dazard <jean-eudes.dazard@case.edu>

Diff between PRIMsrc versions 0.7.1 dated 2017-06-24 and 0.7.2 dated 2017-07-18

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Package NetworkInference updated to version 1.1.1 with previous version 1.1.0 dated 2017-06-06

Title: Inferring Latent Diffusion Networks
Description: This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder@gmail.com>

Diff between NetworkInference versions 1.1.0 dated 2017-06-06 and 1.1.1 dated 2017-07-18

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Package MCI updated to version 1.3.1 with previous version 1.3.0 dated 2016-09-01

Title: Multiplicative Competitive Interaction (MCI) Model
Description: Market area models are used to analyze and predict store choices and market areas concerning retail and service locations. This package implements two market area models (Huff Model, Multiplicative Competitive Interaction Model) into R, while the emphases lie on 1.) fitting these models based on empirical data via OLS regression and nonlinear techniques and 2.) data preparation and processing (esp. interaction matrices and data preparation for the MCI Model).
Author: Thomas Wieland
Maintainer: Thomas Wieland <thomas.wieland.geo@googlemail.com>

Diff between MCI versions 1.3.0 dated 2016-09-01 and 1.3.1 dated 2017-07-18

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Package ITGM updated to version 0.5 with previous version 0.4 dated 2016-10-10

Title: Individual Tree Growth Modeling
Description: Individual tree model is an instrument to support the decision with regard to forest management. This package provides functions that let you work with data for this model. Also other support functions and extension related to this model are available.
Author: Clayton Vieira Fraga Filho, Miqueias Fernandes
Maintainer: Clayton Vieira Fraga Filho <forestgrowthsoftware@gmail.com>

Diff between ITGM versions 0.4 dated 2016-10-10 and 0.5 dated 2017-07-18

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Package haploR updated to version 1.5.1 with previous version 1.4.6 dated 2017-06-12

Title: Query 'HaploReg' and 'RegulomeDB'
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php> and 'RegulomeDB' <http://www.regulomedb.org> web-based tools. The package connects to 'HaploReg' or 'RegulomeDB', searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Author: Ilya Y. Zhbannikov [aut, cre], Konstantin G Arbeev [ctb] (Konstantin supervised the technical/software development.), Anatoliy I Yashin [ctb] (Anatoliy supervised the technical/software development and is a Principal Invesigator of this project)
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between haploR versions 1.4.6 dated 2017-06-12 and 1.5.1 dated 2017-07-18

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Package ratios updated to version 1.1.0 with previous version 1.0.0 dated 2017-06-25

Title: Calculating Ratios Between Two Data Sets and Correction for Adhering Particles on Plants
Description: Calculation of ratios between two data sets containing environmental data like element concentrations by different methods. Additionally plant element concentrations can be corrected for adhering particles (soil, airborne dust).
Author: Solveig Pospiech [aut, cre], Wiebke Fahlbusch [ctb]
Maintainer: Solveig Pospiech <s.pospiech@gmx.de>

Diff between ratios versions 1.0.0 dated 2017-06-25 and 1.1.0 dated 2017-07-18

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New package uptasticsearch with initial version 0.0.2
Package: uptasticsearch
Type: Package
Title: Get Data Frame Representations of 'Elasticsearch' Results
Version: 0.0.2
Authors@R: c( person("James", "Lamb", email = "james.lamb@uptake.com", role = c("aut", "cre")), person("Nick", "Paras", email = "nick.paras@uptake.com", role = c("aut")), person("Austin", "Dickey", email = "austin.dickey@uptake.com", role = c("aut")), person("Uptake Technologies Inc.", role = c("cph")))
Maintainer: James Lamb <james.lamb@uptake.com>
Description: 'Elasticsearch' is an open-source, distributed, document-based datastore (<https://www.elastic.co/products/elasticsearch>). It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that 'API' was not designed for common data science workflows like pulling large batches of records and normalizing those documents into a data frame that can be used as a training dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch' that is explicitly designed to make these data science workflows easy and fun.
Depends: R (>= 3.3.0)
Imports: data.table, futile.logger, httr, jsonlite, purrr, stringr, uuid
Suggests: knitr, testthat, rmarkdown
License: BSD_3_clause + file LICENSE
URL: https://github.com/UptakeOpenSource/uptasticsearch
BugReports: https://github.com/UptakeOpenSource/uptasticsearch/issues
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-18 13:53:36 UTC; jlamb
Author: James Lamb [aut, cre], Nick Paras [aut], Austin Dickey [aut], Uptake Technologies Inc. [cph]
Repository: CRAN
Date/Publication: 2017-07-18 14:26:54 UTC

More information about uptasticsearch at CRAN
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Package RcppAPT updated to version 0.0.4 with previous version 0.0.3 dated 2016-12-07

Title: 'Rcpp' Interface to the APT Package Manager
Description: The 'APT Package Management System' provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppAPT versions 0.0.3 dated 2016-12-07 and 0.0.4 dated 2017-07-18

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New package coda.base with initial version 0.1.3
Package: coda.base
Type: Package
Title: A Basic Set of Functions for Compositional Data Analysis
Version: 0.1.3
Date: 2017-07-17
Authors@R: c(person("Marc", "Comas-Cufí", role = c("aut", "cre"), email = "mcomas@imae.udg.edu"))
Description: A minimum set of functions to perform compositional data analysis using the log-ratio approach introduced by John Aitchison in 1982. Main functions have been implemented in c++ for better performance.
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.12), MASS
LinkingTo: Rcpp, RcppArmadillo
License: GPL
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2017-07-18 12:31:47 UTC; marc
Author: Marc Comas-Cufí [aut, cre]
Maintainer: Marc Comas-Cufí <mcomas@imae.udg.edu>
Repository: CRAN
Date/Publication: 2017-07-18 13:07:13 UTC

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Package ncar updated to version 0.3.6 with previous version 0.3.5 dated 2017-07-10

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>. Some features are 1) CDISC SDTM terms 2) Automatic slope selection with the same criterion of WinNonlin(R) 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between ncar versions 0.3.5 dated 2017-07-10 and 0.3.6 dated 2017-07-18

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Package languagelayeR updated to version 1.1.0 with previous version 1.0.0 dated 2016-12-19

Title: Access the 'languagelayer' API
Description: Improve your text analysis with languagelayer <https://languagelayer.com>, a powerful language detection API.
Author: Colin FAY [aut, cre]
Maintainer: Colin FAY <contact@colinfay.me>

Diff between languagelayeR versions 1.0.0 dated 2016-12-19 and 1.1.0 dated 2017-07-18

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Package kerndwd updated to version 2.0.1 with previous version 2.0.0 dated 2017-05-24

Title: Distance Weighted Discrimination (DWD) and Kernel Methods
Description: A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination.
Author: Boxiang Wang <boxiang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Maintainer: Boxiang Wang <boxiang@umn.edu>

Diff between kerndwd versions 2.0.0 dated 2017-05-24 and 2.0.1 dated 2017-07-18

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Package pomp updated to version 1.13 with previous version 1.12 dated 2017-04-19

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for working with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Daniel C. Reuman [ctb], Helen Wearing [ctb], Simon N. Wood [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between pomp versions 1.12 dated 2017-04-19 and 1.13 dated 2017-07-18

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Package netdiffuseR updated to version 1.18.0 with previous version 1.17.0 dated 2016-11-10

Title: Analysis of Diffusion and Contagion Processes on Networks
Description: Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN: 9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others.
Author: George Vega Yon [aut, cre] (Rewrite functions with Rcpp, plus new features), Stephanie Dyal [aut] (Package's first version), Timothy Hayes [aut] (Package's first version), Thomas Valente [aut, cph] (R original code)
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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New package diffpriv with initial version 0.4.2
Package: diffpriv
Type: Package
Title: Easy Differential Privacy
Version: 0.4.2
Date: 2017-07-16
Authors@R: c( person("Benjamin", "Rubinstein", email = "brubinstein@unimelb.edu.au", role = c("aut", "cre")), person("Francesco", "Aldà", email = "francesco.alda@gmail.com", role = "aut"))
Description: An implementation of major general-purpose mechanisms for privatizing statistics, models, and machine learners, within the framework of differential privacy of Dwork et al. (2006) <doi:10.1007/11681878_14>. Example mechanisms include the Laplace mechanism for releasing numeric aggregates, and the exponential mechanism for releasing set elements. A sensitivity sampler (Rubinstein & Alda, 2017) <arXiv:1706.02562> permits sampling target non-private function sensitivity; combined with the generic mechanisms, it permits turn-key privatization of arbitrary programs.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: gsl, methods, stats
URL: https://github.com/brubinstein/diffpriv, http://brubinstein.github.io/diffpriv
BugReports: https://github.com/brubinstein/diffpriv/issues
RoxygenNote: 6.0.1
VignetteBuilder: knitr
Encoding: UTF-8
Suggests: randomNames, testthat, knitr, rmarkdown
Collate: 'utils.R' 'bernstein_polynomials.R' 'privacy_params.R' 'mechanisms.R' 'bernstein_mechanism.R' 'diffpriv.R' 'exponential_mechanism.R' 'numeric_mechanism.R' 'gaussian_mechanism.R' 'laplace_mechanism.R' 'sensitivity_sampler.R'
NeedsCompilation: no
Packaged: 2017-07-18 10:59:01 UTC; brubinstein
Author: Benjamin Rubinstein [aut, cre], Francesco Aldà [aut]
Maintainer: Benjamin Rubinstein <brubinstein@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2017-07-18 11:42:21 UTC

More information about diffpriv at CRAN
Permanent link

Package dexter updated to version 0.4.2 with previous version 0.1.7 dated 2017-02-08

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests. Developed at Cito, The Netherlands, with subsidy from the Dutch Ministry of Education, Culture, and Science.
Author: Gunter Maris, Timo Bechger, Jesse Koops, Ivailo Partchev
Maintainer: Ivailo Partchev <Ivailo.Partchev@cito.nl>

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Package rodham updated to version 0.1.1 with previous version 0.1.0 dated 2017-07-14

Title: Fetch Hillary Rodham Clinton's Emails
Description: Fetch and process Hillary Rodham Clinton's "personal" emails.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between rodham versions 0.1.0 dated 2017-07-14 and 0.1.1 dated 2017-07-18

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Package canvasXpress updated to version 0.16.6 with previous version 0.16.2 dated 2017-06-02

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <http://canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut, cre], Connie Brett [ctb]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 0.16.2 dated 2017-06-02 and 0.16.6 dated 2017-07-18

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New package bsplinePsd with initial version 0.1.0
Package: bsplinePsd
Type: Package
Title: Bayesian Nonparametric Spectral Density Estimation Using B-Spline Priors
Version: 0.1.0
Date: 2017-07-16
Author: Matthew C. Edwards [aut, cre], Renate Meyer [aut], Nelson Christensen [aut]
Maintainer: Matthew C. Edwards <matt.edwards@auckland.ac.nz>
Description: Implementation of a Metropolis-within-Gibbs MCMC algorithm to flexibly estimate the spectral density of a stationary time series. The algorithm updates a nonparametric B-spline prior using the Whittle likelihood to produce pseudo-posterior samples and is based on the work presented by Edwards, Meyer, and Christensen (2017) <arXiv:1707.04878>.
License: GPL (>= 3)
Imports: Rcpp (>= 0.12.5), splines (>= 3.2.3)
LinkingTo: Rcpp
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-07-18 02:40:32 UTC; mattedwards
Repository: CRAN
Date/Publication: 2017-07-18 09:16:27 UTC

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New package mau with initial version 0.1.0
Package: mau
Type: Package
Title: Decision Models with Multi Attribute Utility Theory
Version: 0.1.0
Encoding: UTF-8
Date: 2017-07-17
Author: Felipe Aguirre, Julio Andrade, Pedro Guarderas, Daniel Lagos, Andres Lopez, Nelson Recalde, Edison Salazar.
Maintainer: Pedro Guarderas <pedro.felipe.guarderas@gmail.com>
Description: Build and test decision models based in Multi Attribute Utility Theory (MAUT). Automatic evaluation of utilities at any level of the decision tree, weight simulations for sensitivity analysis.
License: LGPL-3
URL: https://github.com/pedroguarderas/mau
Depends: R (>= 3.0)
Imports: data.table, gtools, stringr, igraph, RColorBrewer, ggplot2
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-07-18 01:35:42 UTC; aju
Repository: CRAN
Date/Publication: 2017-07-18 08:10:09 UTC

More information about mau at CRAN
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Package AID updated to version 2.2 with previous version 2.1 dated 2017-07-11

Title: Box-Cox Power Transformation
Description: Performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.
Author: Osman Dag [aut, cre], Ozgur Asar [aut], Ozlem Ilk [aut]
Maintainer: Osman Dag <osman.dag@hacettepe.edu.tr>

Diff between AID versions 2.1 dated 2017-07-11 and 2.2 dated 2017-07-18

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