Mon, 27 Mar 2017

New package hmi with initial version 0.6.3
Package: hmi
Type: Package
Title: Hierarchical Multiple Imputation
Version: 0.6.3
Authors@R: c( person("Matthias", "Speidel", , "matthias.speidel@googlemail.com", role = c("aut", "cre"), comment = "Institute for Employment Research, Nuremberg, Germany"), person("Joerg", "Drechsler", role = "aut", comment = "Institute for Employment Research, Nuremberg, Germany"), person("Shahab", "Jolani", role = "aut", comment = "Maastricht University, Maastricht, The Netherlands"))
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
BugReports: http://github.com/matthiasspeidel/hmi/issues
Imports: boot (>= 1.3-18), coda (>= 0.18-1), linLIR (>= 1.1), lme4 (>= 1.1-12), MASS (>= 7.3-45), Matrix (>= 1.2), MCMCglmm (>= 2.22.1), mice (>= 2.25), msm (>= 1.6.4), mvtnorm (>= 1.0-5), pbivnorm (>= 0.6.0), stats (>= 3.0.0), tmvtnorm (>= 1.4-10), tree (>= 1.0-37), utils, Rcpp
Suggests: knitr, rmarkdown
Depends: R (>= 3.0.0)
License: GPL-3
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr
URL: http://github.com/matthiasspeidel/hmi
NeedsCompilation: no
Packaged: 2017-03-27 16:04:59 UTC; Matthias
Author: Matthias Speidel [aut, cre] (Institute for Employment Research, Nuremberg, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Repository: CRAN
Date/Publication: 2017-03-27 16:21:51 UTC

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New package BatchMap with initial version 1.0.0.0
Package: BatchMap
Title: Software for the Creation of High Density Linkage Maps in Outcrossing Species
Version: 1.0.0.0
Description: Algorithms that build on the 'OneMap' package to create linkage maps from high density data in outcrossing species in reasonable time frames.
Date: 2017-03-07
Authors@R: c(person("Bastian", "Schiffthaler", role = c("aut","cre"), email = "bastian.schiffthaler@umu.se"), person("Gabriel", "Margarido", role = "aut", email = "gramarga@usp.br"), person("Marcelo", "Mollinari", role = c("aut"), email = "mmollina@usp.br"), person("Karl", "Broman", role = "ctb", email = "kbroman@biostat.wisc.edu"), person("Augusto", "Garcia", role = c("aut", "ctb"), email = "augusto.garcia@usp.br"))
LinkingTo: Rcpp (>= 0.10.5), RcppArmadillo (>= 0.7.700)
Depends: parallel (>= 3.2.3), ggplot2 (>= 1.0.1), R (>= 3.2.0)
Imports: reshape2 (>= 1.4.1), methods
Suggests: knitr (>= 1.10), rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
URL: https://github.com/bschiffthaler/BatchMap
BugReports: https://github.com/bschiffthaler/BatchMap/issues
Maintainer: Bastian Schiffthaler <bastian.schiffthaler@umu.se>
Repository: CRAN
NeedsCompilation: yes
Date/Publication: 2017-03-27 16:21:55 UTC
RoxygenNote: 6.0.1
Packaged: 2017-03-27 15:44:24 UTC; root
Author: Bastian Schiffthaler [aut, cre], Gabriel Margarido [aut], Marcelo Mollinari [aut], Karl Broman [ctb], Augusto Garcia [aut, ctb]

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Package qrcm updated to version 2.1 with previous version 2.0 dated 2017-02-03

Title: Quantile Regression Coefficients Modeling
Description: Parametric modeling of quantile regression coefficient functions. Can be used with censored and truncated data.
Author: Paolo Frumento <paolo.frumento@ki.se>
Maintainer: Paolo Frumento <paolo.frumento@ki.se>

Diff between qrcm versions 2.0 dated 2017-02-03 and 2.1 dated 2017-03-27

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Package qgraph updated to version 1.4.3 with previous version 1.4.2 dated 2017-01-21

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: Can be used to visualize data as networks as well as provides an interface for visualizing weighted graphical models.
Author: Sacha Epskamp, Giulio Costantini, Jonas Haslbeck, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann and Denny Borsboom
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between qgraph versions 1.4.2 dated 2017-01-21 and 1.4.3 dated 2017-03-27

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New package pivottabler with initial version 0.1.0
Package: pivottabler
Type: Package
Title: Create Pivot Tables in R
Version: 0.1.0
Authors@R: person("Christopher", "Bailiss", email = "cbailiss@gmail.com", role = c("aut", "cre"))
Description: Create regular pivot tables with just a few lines of R. More complex pivot tables can also be created, e.g. pivot tables with irregular layouts, multiple calculations and/or derived calculations based on multiple data frames.
Depends: R (>= 3.2.0)
Imports: R6 (>= 2.2.0), dplyr (>= 0.5.0), jsonlite (>= 1.1), htmltools(>= 0.3.5), htmlwidgets (>= 0.8)
Suggests: lubridate (>= 1.5.0), listviewer (>= 1.4.0), digest (>= 0.6.9), shiny, knitr, rmarkdown, testthat
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/cbailiss/pivottabler
BugReports: https://github.com/cbailiss/pivottabler/issues
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-27 07:01:17 UTC; bailis01
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-27 15:21:54 UTC

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Package MGLM updated to version 0.0.8 with previous version 0.0.7 dated 2016-02-17

Title: Multivariate Response Generalized Linear Models
Description: Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.
Author: Yiwen Zhang <zhangyiwen1015@gmail.com> and Hua Zhou <huazhou@ucla.edu>
Maintainer: Yiwen Zhang <zhangyiwen1015@gmail.com>

Diff between MGLM versions 0.0.7 dated 2016-02-17 and 0.0.8 dated 2017-03-27

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 32 files changed, 1138 insertions(+), 1222 deletions(-)

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Package loo updated to version 1.1.0 with previous version 1.0.0 dated 2016-12-16

Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Description: Efficient approximate leave-one-out cross-validation (LOO) using Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, we also obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. We also compute the widely applicable information criterion (WAIC).
Author: Aki Vehtari [aut], Andrew Gelman [aut], Jonah Gabry [cre, aut], Juho Piironen [ctb], Ben Goodrich [ctb]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

Diff between loo versions 1.0.0 dated 2016-12-16 and 1.1.0 dated 2017-03-27

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Package graphkernels updated to version 1.1 with previous version 1.0 dated 2017-03-16

Title: Graph Kernels
Description: A fast C++ implementation for computing various graph kernels including (1) simple kernels between vertex and/or edge label histograms, (2) random walk kernels (popular baselines), and (3) the Weisfeiler-Lehman graph kernel (state-of-the-art).
Author: Mahito Sugiyama
Maintainer: Mahito Sugiyama <mahito@ar.sanken.osaka-u.ac.jp>

Diff between graphkernels versions 1.0 dated 2017-03-16 and 1.1 dated 2017-03-27

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New package CorporaCoCo with initial version 1.0-1
Encoding: UTF-8
Package: CorporaCoCo
Type: Package
Title: Corpora Co-Occurrence Comparison
Version: 1.0-1
Date: 2017-03-26
Authors@R: c(person('Anthony','Hennessey',email='anthony.hennessey@nottingham.ac.uk',role=c('aut','cre')), person('Viola','Wiegand',email='v.wiegand@bham.ac.uk',role='aut'), person('Michaela','Malberg',email='m.a.mahlberg@bham.ac.uk',role='aut'), person('Christopher R.','Tench',email='christopher.tench@nottingham.ac.uk',role='aut'), person('Jamie','Lentin',email='jm@ravingmantis.com',role='aut'))
Description: A set of functions used to compare co-occurrence between two corpora.
URL:
License: GPL (>= 3)
Depends: R (>= 3.1.0),
Imports: methods, stats, data.table (>= 1.9.6), RColorBrewer, rlist
Suggests: unittest, stringi
BugReports: https://github.com/ravingmantis/CorporaCoCo/issues
LazyData: yes
NeedsCompilation: no
Packaged: 2017-03-26 17:25:00 UTC; albert
Author: Anthony Hennessey [aut, cre], Viola Wiegand [aut], Michaela Malberg [aut], Christopher R. Tench [aut], Jamie Lentin [aut]
Maintainer: Anthony Hennessey <anthony.hennessey@nottingham.ac.uk>
Repository: CRAN
Date/Publication: 2017-03-27 15:21:49 UTC

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Package viridis updated to version 0.4.0 with previous version 0.3.4 dated 2016-03-12

Title: Default Color Maps from 'matplotlib'
Description: Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/ > is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph]
Maintainer: Simon Garnier <garnier@njit.edu>

Diff between viridis versions 0.3.4 dated 2016-03-12 and 0.4.0 dated 2017-03-27

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Package TSHRC updated to version 0.1-5 with previous version 0.1-4 dated 2016-11-28

Title: Two Stage Hazard Rate Comparison
Description: Two-stage procedure compares hazard rate functions, which may or may not cross each other.
Author: Jun Sheng, Peihua Qiu <qiu@stat.umn.edu>, and Charles J. Geyer <charlie@stat.umn.edu>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between TSHRC versions 0.1-4 dated 2016-11-28 and 0.1-5 dated 2017-03-27

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Package pgirmess updated to version 1.6.7 with previous version 1.6.6 dated 2017-03-26

Title: Data Analysis in Ecology
Description: Miscellaneous functions for data analysis in ecology, with special emphasis on spatial data.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

Diff between pgirmess versions 1.6.6 dated 2017-03-26 and 1.6.7 dated 2017-03-27

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Package mtconnectR updated to version 1.1.0 with previous version 1.0.1 dated 2016-08-02

Title: Read Data from Delimited 'MTConnect' Data Files and Perform some Analysis
Description: Read data in the 'MTConnect'<http://www.mtconnect.org/> standard. You can use the package to read data from historical 'MTConnect logs' along with the 'devices.xml' describing the device. The data is organised into a 'MTConnectDevice' S4 data structure and some convenience methods are also provided for basic read/view operations. The package also includes some functions for analysis of 'MTConnect' data. This includes functions to simulate data (primarily position data, feed rate and velocities) based on the G code and visualisation functions to compare the actual and simulated data.
Author: Alex Joseph [aut], Sainath Adapa [aut], Nitin Madasu [aut], Subramanyam Ravishankar [aut, cre]
Maintainer: Subramanyam Ravishankar <subramanyam@systeminsights.com>

Diff between mtconnectR versions 1.0.1 dated 2016-08-02 and 1.1.0 dated 2017-03-27

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Package lulcc updated to version 1.0.2 with previous version 1.0.1 dated 2015-08-19

Title: Land Use Change Modelling in R
Description: Classes and methods for spatially explicit land use change modelling in R.
Author: Simon Moulds <sim.moulds@gmail.com>
Maintainer: Simon Moulds <sim.moulds@gmail.com>

Diff between lulcc versions 1.0.1 dated 2015-08-19 and 1.0.2 dated 2017-03-27

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Package joineRML updated to version 0.2.0 with previous version 0.1.1 dated 2016-12-30

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R)
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>

Diff between joineRML versions 0.1.1 dated 2016-12-30 and 0.2.0 dated 2017-03-27

 joineRML-0.1.1/joineRML/R/approxSE.R                                                                        |only
 joineRML-0.1.1/joineRML/R/fast_nearPD.R                                                                     |only
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 joineRML-0.1.1/joineRML/man/bSim.Rd                                                                         |only
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 joineRML-0.2.0/joineRML/LICENSE                                                                             |  898 +++++++---
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 joineRML-0.2.0/joineRML/NAMESPACE                                                                           |   21 
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 joineRML-0.2.0/joineRML/R/bootSE.R                                                                          |   41 
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 joineRML-0.2.0/joineRML/R/convMonitor.R                                                                     |    2 
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 joineRML-0.2.0/joineRML/R/getVarCov.mjoint.R                                                                |   18 
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 joineRML-0.2.0/joineRML/R/mvlme.R                                                                           |   24 
 joineRML-0.2.0/joineRML/R/pbc2.R                                                                            |   18 
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 joineRML-0.2.0/joineRML/man/getVarCov.mjoint.Rd                                                             |   17 
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Package jmvcore updated to version 0.5.1 with previous version 0.5.0 dated 2017-03-25

Title: Dependencies for the 'jamovi' Framework
Description: 'jamovi' is a framework for creating rich interactive statistical analyses (see <https://www.jamovi.org> for more information). This package represents the core libraries which jamovi analyses written in R depend upon.
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

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Package graphicalVAR updated to version 0.2 with previous version 0.1.4 dated 2016-07-03

Title: Graphical VAR for Experience Sampling Data
Description: Estimates within and between time point interactions in experience sampling data, using the Graphical VAR model in combination with LASSO and EBIC.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package flexsurv updated to version 1.1 with previous version 1.0.0 dated 2016-05-11

Title: Flexible Parametric Survival and Multi-State Models
Description: Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models.
Author: Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package easyDes updated to version 2.0 with previous version 1.0 dated 2017-01-03

Title: An Easy Way to Descriptive Analysis
Description: Descriptive analysis is essential for publishing medical articles. This package provides an easy way to conduct the descriptive analysis. 1. Both numeric and factor variables can be handled. For numeric variables, normality test will be applied to choose the parametric and nonparametric test. 2. Both two or more groups can be handled. For groups more than two, the post hoc test will be applied, 'Tukey' for the numeric variables and 'FDR' for the factor variables. 3. T test, ANOVA or Fisher test can be forced to apply.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

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Package dfmta updated to version 1.4 with previous version 1.3-4 dated 2016-06-21

Title: Phase I/II Adaptive Dose-Finding Design for MTA
Description: Phase I/II adaptive dose-finding design for single-agent Molecularly Targeted Agent (MTA), according to the paper "Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination using Adaptive Randomization" (in review).
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

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Package dfcomb updated to version 2.2 with previous version 2.1-6 dated 2016-06-21

Title: Phase I/II Adaptive Dose-Finding Design for Combination Studies
Description: Phase I/II adaptive dose-finding design for combination studies. Several methods are proposed depending on the type of combinations: (1) the combination of two cytotoxic agents, and (2) combination of a molecularly targeted agent with a cytotoxic agent.
Author: Marie-Karelle Riviere and Jacques-Henri Jourdan
Maintainer: Marie-Karelle Riviere <eldamjh@gmail.com>

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Package bupaR updated to version 0.1.1 with previous version 0.1.0 dated 2017-03-26

Title: Business Process Analytics in R
Description: Functionalities for process analysis in R. This packages implements an S3-class for event log objects, and related handler functions. Imports related packages for subsetting event data, computation of descriptive statistics, handling of Petri Net objects and visualization of process maps.
Author: Gert Janssenswillen
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package ArchaeoPhases updated to version 1.1 with previous version 1.0 dated 2017-02-07

Title: Post-Processing of the Markov Chain Simulated by 'ChronoModel', 'Oxcal' or 'BCal'
Description: Provides a list of functions for the statistical analysis of archaeological dates and groups of dates. It is based on the post-processing of the Markov Chains whose stationary distribution is the posterior distribution of a series of dates. Such output can be simulated by different applications as for instance 'ChronoModel' (see <http://www.chronomodel.fr>), 'Oxcal' (see <https://c14.arch.ox.ac.uk/oxcal.html>) or 'BCal' (see http://bcal.shef.ac.uk/). The only requirement is to have a csv file containing a sample from the posterior distribution.
Author: Anne Philippe [aut, cre], Marie-Anne Vibet [aut], Thomas S. Dye [ctb]
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>

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Package semPlot updated to version 1.1 with previous version 1.0.1 dated 2014-08-15

Title: Path Diagrams and Visual Analysis of Various SEM Packages' Output
Description: Path diagrams and visual analysis of various SEM packages' output.
Author: Sacha Epskamp, with contributions from Simon Stuber
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package POUMM updated to version 1.2.2 with previous version 1.2.1 dated 2017-03-12

Title: The Phylogenetic Ornstein-Uhlenbeck Mixed Model
Description: The Phylogenetic Ornstein-Uhlenbeck Mixed Model (POUMM) allows to estimate the phylogenetic heritability of continuous traits, to test hypotheses of neutral evolution versus stabilizing selection, to quantify the strength of stabilizing selection, to estimate measurement error and to make predictions about the evolution of a phenotype and phenotypic variation in a population. The package implements combined maximum likelihood and Bayesian inference of the univariate Phylogenetic Ornstein-Uhlenbeck Mixed Model, fast POUMM likelihood calculation, maximum likelihood inference of the genotypic values at the tips, functions for summarizing and plotting traces and posterior samples, functions for simulation of a univariate continuous trait evolution along a phylogenetic tree. A quick example on using the POUMM package can be found in the README. More elaborate examples and use-cases are provided in the vignette "A User Guide to The POUMM R-package".
Author: Venelin Mitov [aut, cre, cph]
Maintainer: Venelin Mitov <vmitov@gmail.com>

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Package nanotime updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-04

Title: Nanosecond-Resolution Time for R
Description: Full 64-bit resolution date and time support with resolution up to nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Sun, 26 Mar 2017

Package ump updated to version 0.5-8 with previous version 0.5-6 dated 2015-07-02

Title: Uniformly Most Powerful Tests
Description: Does uniformly most powerful (UMP) and uniformly most powerful unbiased (UMPU) tests. At present only distribution implemented is binomial distribution. Also does fuzzy tests and confidence intervals (following Geyer and Meeden, 2005, <doi:10.1214/088342305000000340>) for the binomial distribution (one-tailed procedures based on UMP test and two-tailed procedures based on UMPU test).
Author: Charles J. Geyer <charlie@stat.umn.edu> and Glen D. Meeden <glen@stat.umn.edu>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package RInno updated to version 0.0.2 with previous version 0.0.1 dated 2017-03-02

Title: An Installation Framework for Shiny Apps
Description: Installs shiny apps using Inno Setup, an open source software that builds installers for Windows programs <http://www.jrsoftware.org/ishelp/>.
Author: Jon Hill [aut, cre, cph], W. Lee Pang [aut, cph] (DesktopDeployR project at https://github.com/wleepang/DesktopDeployR)
Maintainer: Jon Hill <jon.mark.hill@gmail.com>

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Package pooh updated to version 0.3-2 with previous version 0.3-1 dated 2015-07-03

Title: Partial Orders and Relations
Description: Finds equivalence classes corresponding to a symmetric relation or undirected graph. Finds total order consistent with partial order or directed graph (so-called topological sort).
Author: Charles J. Geyer <charlie@stat.umn.edu>.
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package magick updated to version 0.4 with previous version 0.3 dated 2016-09-06

Title: Advanced Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package jtools updated to version 0.4.4 with previous version 0.4.2 dated 2017-02-27

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions in linear models. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <long.1377@osu.edu>

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Package NetworkRiskMeasures updated to version 0.1.2 with previous version 0.1.1 dated 2017-01-10

Title: Risk Measures for (Financial) Networks
Description: Implements some risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.
Author: Carlos Cinelli <carloscinelli@hotmail.com>, Thiago Cristiano Silva <thiagochris@gmail.com>
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>

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Package datapasta updated to version 2.0.0 with previous version 1.1.0 dated 2017-01-09

Title: R Tools for Data Copy-Pasta
Description: RStudio addins and R functions that make copy-pasting vectors and tables to text painless.
Author: Miles McBain [aut, cre], Jonathan Carroll [aut]
Maintainer: Miles McBain <miles.mcbain@gmail.com>

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Package CORElearn updated to version 1.50.1 with previous version 1.48.0 dated 2016-07-25

Title: Classification, Regression and Feature Evaluation
Description: This is a suite of machine learning algorithms written in C++ with R interface. It contains several machine learning model learning techniques in classification and regression, for example classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with ExplainPrediction package. The package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for example to discretize numeric attributes. Its additional feature is OrdEval algorithm and its visualization used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded execution via OpenMP. The top-level documentation is reachable through ?CORElearn.
Author: Marko Robnik-Sikonja and Petr Savicky
Maintainer: "Marko Robnik-Sikonja" <marko.robnik@fri.uni-lj.si>

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Package aster2 updated to version 0.3 with previous version 0.2-1 dated 2015-05-11

Title: Aster Models
Description: Aster models are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the exponential family canonical parameterization (aster transform of usual parameterization). Unlike the aster package, this package does dependence groups (nodes of the graph need not be conditionally independent given their predecessor node), including multinomial and two-parameter normal as families. Thus this package also generalizes mark-capture-recapture analysis.
Author: Charles J. Geyer <charlie@stat.umn.edu>.
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package semiArtificial updated to version 2.2.4 with previous version 2.0.1 dated 2015-09-03

Title: Generator of Semi-Artificial Data
Description: Contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generators: i) a RBF network based generator using rbfDDA() from package 'RSNNS', ii) a Random Forest based generator for both classification and regression problems iii) a density forest based generator for unsupervised data Data evaluation support tools include: a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM c) evaluation based on classification performance with various learning models, e.g., random forests.
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>

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Package RcppTOML updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-12

Title: 'Rcpp' Bindings to Parser for Tom's Obvious Markup Language
Description: The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://github.com/toml-lang/toml>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect the 'cpptoml' parser written by Chase Geigle (in modern C++11) to R.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package pmfdR with initial version 1.0
Package: pmfdR
Title: Book Companion for Processing and Modelling Financial Data with R
Version: 1.0
Authors@R: person("Marcelo", "Perlin", email = "marceloperlin@gmail.com", role = c("aut", "cre"))
Description: Provides access to material from the book "Processing and Modelling Financial Data with R" by Marcelo Perlin (2017) available at <https://sites.google.com/view/pmfdr/home>.
Date: 2017-03-25
Depends: R (>= 3.3.3), exams, stringr
Imports: curl, utils
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-26 12:27:18 UTC; msperlin
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-26 16:12:19 UTC

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Package pgirmess updated to version 1.6.6 with previous version 1.6.5 dated 2016-09-25

Title: Data Analysis in Ecology
Description: Miscellaneous functions for data analysis in ecology, with special emphasis on spatial data.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

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Package MXM updated to version 0.9.9 with previous version 0.9.8 dated 2017-02-20

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis, Anna Roumpelaki
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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Package MVLM updated to version 0.1.4 with previous version 0.0.1 dated 2016-08-05

Title: Multivariate Linear Model with Analytic p-Values
Description: Allows a user to conduct multivariate multiple regression using analytic p-values rather than classic approximate F-tests.
Author: Daniel B. McArtor (dmcartor@nd.edu) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@nd.edu>

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Package matchingMarkets updated to version 0.3-3 with previous version 0.3-2 dated 2016-08-27

Title: Analysis of Stable Matchings
Description: Implements structural estimators to correct for the sample selection bias from observed outcomes in matching markets. This includes one-sided matching of agents into groups as well as two-sided matching of students to schools. The package also contains algorithms to find stable matchings in the three most common matching problems: the stable roommates problem, the college admissions problem, and the house allocation problem.
Author: Thilo Klein
Maintainer: Thilo Klein <thilo@klein.uk>

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Package lidR updated to version 1.2.0 with previous version 1.1.0 dated 2017-02-05

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Helped to review the documentation)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package gems updated to version 1.1.1 with previous version 1.1.0 dated 2016-11-29

Title: Generalized Multistate Simulation Model
Description: Simulate and analyze multistate models with general hazard functions. gems provides functionality for the preparation of hazard functions and parameters, simulation from a general multistate model and predicting future events. The multistate model is not required to be a Markov model and may take the history of previous events into account. In the basic version, it allows to simulate from transition-specific hazard function, whose parameters are multivariable normally distributed.
Author: Luisa Salazar Vizcaya, Nello Blaser, Thomas Gsponer
Maintainer: Luisa Salazar Vizcaya <luisapaola.salazarvizcaya@insel.ch>

Diff between gems versions 1.1.0 dated 2016-11-29 and 1.1.1 dated 2017-03-26

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Package dbmss updated to version 2.4-0 with previous version 2.3-0 dated 2016-09-18

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Author: Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech
Maintainer: Eric Marcon <Eric.Marcon@ecofog.gf>

Diff between dbmss versions 2.3-0 dated 2016-09-18 and 2.4-0 dated 2017-03-26

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Package crandatapkgs updated to version 0.1.7 with previous version 0.1.5 dated 2016-08-02

Title: Find Data-Only Packages on CRAN
Description: Provides a data frame listing of known data-only and data-heavy packages available on CRAN.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

Diff between crandatapkgs versions 0.1.5 dated 2016-08-02 and 0.1.7 dated 2017-03-26

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2016-03-29 0.7.0

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2016-08-23 1.0

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2016-07-28 2.0.0

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2016-07-16 1.1.5
2015-08-01 1.1.3
2015-07-21 1.1.1
2015-01-03 1.0.1

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Package goldi (with last version 1.0.0) was removed from CRAN

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2007-11-30 1.6

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2012-04-10 0.0-5
2011-09-20 0.0-4
2010-05-22 0.0-3
2009-10-12 0.0-2
2009-09-28 0.0-1

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New package NetworkInference with initial version 1.0.0
Package: NetworkInference
Type: Package
Title: Inferring Latent Diffusion Networks
Version: 1.0.0
Date: 2017-03-25
Authors@R: c(person("Fridolin", "Linder", email = "fridolin.linder@gmail.com", role = c("aut", "cre")), person("Bruce", "Desmarais", role = "ctb"))
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.
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats
LinkingTo: Rcpp
BugReports: https://github.com/desmarais-lab/NetworkInference/issues
Suggests: testthat, knitr, rmarkdown, pander, igraph, utils
RoxygenNote: 6.0.1
SystemRequirements: C++11
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-25 17:31:14 UTC; flinder
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-26 07:30:59 UTC

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Package GAS updated to version 0.1.6 with previous version 0.1.5 dated 2016-11-19

Title: Generalized Autoregressive Score Models
Description: Simulate, estimate and forecast using univariate and multivariate GAS models.
Author: Leopoldo Catania [aut,cre], Kris Boudt [ctb], David Ardia [ctb]
Maintainer: Leopoldo Catania <leopoldo.catania@uniroma2.it>

Diff between GAS versions 0.1.5 dated 2016-11-19 and 0.1.6 dated 2017-03-26

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Package frair updated to version 0.5.100 with previous version 0.5 dated 2016-04-23

Title: Tools for Functional Response Analysis
Description: Tools to support sensible statistics for functional response analysis.
Author: Daniel Pritchard [aut, cre], Daniel Barrios-O'Neill [ctb], Helene Bovy [ctb], Rachel Paterson [ctb]
Maintainer: Daniel Pritchard <daniel@pritchard.co>

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Package FamEvent updated to version 1.3 with previous version 1.2 dated 2016-09-30

Title: Family Age-at-Onset Data Simulation and Penetrance Estimation
Description: Simulates age-at-onset traits associated with a segregating major gene in family data obtained from population-based, clinic-based, or multi-stage designs. Appropriate ascertainment correction is utilized to estimate age-dependent penetrance functions either parametrically from the fitted model or nonparametrically from the data. The Expectation and Maximization algorithm can infer missing genotypes and carrier probabilities estimated from family's genotype and phenotype information or from a fitted model. Plot functions include pedigrees of simulated families and predicted penetrance curves based on specified parameter values.
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>

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New package bupaR with initial version 0.1.0
Package: bupaR
Type: Package
Title: Business Process Analytics in R
Version: 0.1.0
Date: 2017-03-25
Author: Gert Janssenswillen
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>
Description: Functionalities for process analysis in R. This packages implements an S3-class for event log objects, and related handler functions. Imports related packages for subsetting event data, computation of descriptive statistics, handling of Petri Net objects and visualization of process maps.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: edeaR, petrinetR, magrittr, dplyr, data.table
NeedsCompilation: no
Packaged: 2017-03-25 23:43:53 UTC; lucp8407
Repository: CRAN
Date/Publication: 2017-03-26 07:31:01 UTC

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Package bnlearn updated to version 4.1.1 with previous version 4.1 dated 2017-02-09

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available from <http://www.bnlearn.com>.
Author: Marco Scutari
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between bnlearn versions 4.1 dated 2017-02-09 and 4.1.1 dated 2017-03-26

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Sat, 25 Mar 2017

Package RApiDatetime updated to version 0.0.2 with previous version 0.0.1 dated 2017-03-23

Title: R API Datetime
Description: Access to the C-level R date and datetime code is provided for C-level API use by other packages via registration of native functions. Client packages simply include a single header 'RApiDatetime.h' provided by this package, and also 'import' it. The R Core group is the original author of the code made available with slight modifications by this package.
Author: Dirk Eddelbuettel and R Core (original code)
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package apaTables updated to version 1.5.0 with previous version 1.0.4 dated 2015-11-21

Title: Create American Psychological Association (APA) Style Tables
Description: A common task faced by researchers is the creation of APA style (i.e., American Psychological Association style) tables from statistical output. In R a large number of function calls are often needed to obtain all of the desired information for a single APA style table. As well, the process of manually creating APA style tables in a word processor is prone to transcription errors. This package creates Word files (.doc files) containing APA style tables for several types of analyses. Using this package minimizes transcription errors and reduces the number commands needed by the user.
Author: David Stanley [aut, cre]
Maintainer: David Stanley <dstanley@uoguelph.ca>

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Package lattice updated to version 0.20-35 with previous version 0.20-34 dated 2016-09-06

Title: Trellis Graphics for R
Description: A powerful and elegant high-level data visualization system inspired by Trellis graphics, with an emphasis on multivariate data. Lattice is sufficient for typical graphics needs, and is also flexible enough to handle most nonstandard requirements. See ?Lattice for an introduction.
Author: Deepayan Sarkar <deepayan.sarkar@r-project.org>
Maintainer: Deepayan Sarkar <deepayan.sarkar@r-project.org>

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New package vortexRdata with initial version 1.0.3
Package: vortexRdata
Type: Package
Title: Example Data for R Package 'vortexR'
Version: 1.0.3
Authors@R: c( person("Carlo", "Pacioni", email="C.Pacioni@Murdoch.edu.au", role=c("aut", "cre")), person(c("Florian", "W."), "Mayer", email="Florian.Mayer@dpaw.wa.gov.au", role="aut"))
Author: Carlo Pacioni [aut, cre], Florian W. Mayer [aut]
Maintainer: Carlo Pacioni <C.Pacioni@Murdoch.edu.au>
Description: Contains selected data from two publications, Campbell et al. (2016) <DOI:10.1080/14486563.2015.1028486> and Pacioni et al. (2017) <DOI:10.1071/PC17002>. The data is provided both as raw outputs from the population viability analysis software Vortex and packaged as R objects. The R package 'vortexR' uses the raw data provided here to illustrate its functionality of parsing raw Vortex output into R objects.
URL: https://github.com/carlopacioni/vortexRdata/
BugReports: https://github.com/carlopacioni/vortexR/issues
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-25 10:35:02 UTC; 30373314
Repository: CRAN
Date/Publication: 2017-03-25 16:15:05 UTC

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Package Thermimage updated to version 3.0.0 with previous version 2.2.3 dated 2016-10-20

Title: Thermal Image Analysis
Description: A collection of functions and routines for inputting thermal image video files, plotting and converting binary raw data into estimates of temperature. First published 2015-03-26. Written primarily for research purposes in biological applications of thermal images. v1 included the base calculations for converting thermal image binary values to temperatures. v2 included additional equations for providing heat transfer calculations and an import function for thermal image files (v2.2.3 fixed error importing thermal image to windows OS). v3. Added numerous functions for importing thermal image videos, rewriting and exporting.
Author: Glenn J. Tattersall
Maintainer: Glenn J. Tattersall <gtatters@brocku.ca>

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Package Sim.DiffProc updated to version 3.7 with previous version 3.6 dated 2016-11-13

Title: Simulation of Diffusion Processes
Description: Provides the functions for simulating and modeling of Ito and Stratonovich stochastic differential equations (SDE's). Statistical analysis and Monte-Carlo simulation of the solution of SDE's enabled many searchers in different domains to use these equations to modeling practical problems, in financial and actuarial modeling and other areas of application. For example, modeling and simulate of dispersion in shallow water using the attractive center (Boukhetala K, 1996).
Author: Arsalane Chouaib Guidoum [cre, aut], Kamal Boukhetala [aut]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@usthb.dz>

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Package maptools updated to version 0.9-2 with previous version 0.9-1 dated 2017-02-23

Title: Tools for Reading and Handling Spatial Objects
Description: Set of tools for manipulating and reading geographic data, in particular 'ESRI Shapefiles'; C code used from 'shapelib'. It includes binary access to 'GSHHG' shoreline files. The package also provides interface wrappers for exchanging spatial objects with packages such as 'PBSmapping', 'spatstat', 'maps', 'RArcInfo', 'Stata tmap', 'WinBUGS', 'Mondrian', and others.
Author: Roger Bivand [cre, aut], Nicholas Lewin-Koh [aut], Edzer Pebesma [ctb], Eric Archer [ctb], Adrian Baddeley [ctb], Nick Bearman [ctb], Hans-Jörg Bibiko [ctb], Steven Brey [ctb], Jonathan Callahan [ctb], German Carrillo [ctb], Stéphane Dray [ctb], David Forrest [ctb], Michael Friendly [ctb], Patrick Giraudoux [ctb], Duncan Golicher [ctb], Virgilio Gómez Rubio [ctb], Patrick Hausmann [ctb], Karl Ove Hufthammer [ctb], Thomas Jagger [ctb], Kent Johnson [ctb], Sebastian Luque [ctb], Don MacQueen [ctb], Andrew Niccolai [ctb], Edzer Pebesma [ctb], Oscar Perpiñán Lamigueiro [ctb], Tom Short [ctb], Greg Snow [ctb], Ben Stabler [ctb], Murray Stokely [ctb], Rolf Turner [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between maptools versions 0.9-1 dated 2017-02-23 and 0.9-2 dated 2017-03-25

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New package LeArEst with initial version 0.1.4
Package: LeArEst
Type: Package
Title: Border and Area Estimation of Data Measured with Additive Error
Version: 0.1.4
Date: 2017-03-24
Authors@R: c(person("Mirta", "Bensic", role = "aut", email = "mirta@mathos.hr"), person("Safet", "Hamedovic", role = "aut", email = "safet.hamedovic@famm.unze.ba"), person("Kristian", "Sabo", role = "aut", email = "ksabo@mathos.hr"), person("Petar", "Taler", role = c("aut", "cre"), email = "petar@mathos.hr"))
Maintainer: Petar Taler <petar@mathos.hr>
Description: Provides methods for estimating borders of uniform distribution on the interval (one-dimensional) and on the elliptical domain (two-dimensional) under measurement errors. For one-dimensional case, it also estimates the length of underlying uniform domain and tests the hypothesized length against two-sided or one-sided alternatives. For two-dimensional case, it estimates the area of underlying uniform domain. It works with numerical inputs as well as with pictures in JPG format.
License: GPL-2
LazyData: TRUE
RoxygenNote: 6.0.1
Imports: conicfit, graphics, jpeg, opencpu, stats, utils
NeedsCompilation: no
Packaged: 2017-03-25 10:21:26 UTC; petar
Author: Mirta Bensic [aut], Safet Hamedovic [aut], Kristian Sabo [aut], Petar Taler [aut, cre]
Repository: CRAN
Date/Publication: 2017-03-25 16:14:40 UTC

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Package jmvcore updated to version 0.5.0 with previous version 0.4.0 dated 2017-02-17

Title: Dependencies for the 'jamovi' Framework
Description: 'jamovi' is a framework for creating rich interactive statistical analyses (see <https://www.jamovi.org> for more information). This package represents the core libraries which jamovi analyses written in R depend upon.
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

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Package fftwtools updated to version 0.9-8 with previous version 0.9-7 dated 2015-03-18

Title: Wrapper for 'FFTW3' Includes: One-Dimensional Univariate, One-Dimensional Multivariate, and Two-Dimensional Transform
Description: Provides a wrapper for several 'FFTW' functions. This package provides access to the two-dimensional 'FFT', the multivariate 'FFT', and the one-dimensional real to complex 'FFT' using the 'FFTW3' library. The package includes the functions fftw() and mvfftw() which are designed to mimic the functionality of the R functions fft() and mvfft(). The 'FFT' functions have a parameter that allows them to not return the redundant complex conjugate when the input is real data.
Author: Karim Rahim <karim.rahim@queensu.ca>
Maintainer: Karim Rahim <karim.rahim@queensu.ca>

Diff between fftwtools versions 0.9-7 dated 2015-03-18 and 0.9-8 dated 2017-03-25

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Package units updated to version 0.4-3 with previous version 0.4-2 dated 2017-01-13

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors; automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the difftime class. Uses the UNIDATA udunits library and unit database for unit conversion and compatibility checking.
Author: Edzer Pebesma [aut, cre], Thomas Mailund [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package TSPred updated to version 3.0.1 with previous version 3.0 dated 2017-03-17

Title: Functions for Benchmarking Time Series Prediction
Description: Functions for time series prediction and accuracy assessment using automatic linear modelling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Author: Rebecca Pontes Salles [aut, cre, cph] (CEFET/RJ), Eduardo Ogasawara [ths] (CEFET/RJ)
Maintainer: Rebecca Pontes Salles <rebeccapsalles@acm.org>

Diff between TSPred versions 3.0 dated 2017-03-17 and 3.0.1 dated 2017-03-25

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Package TeachBayes updated to version 1.0 with previous version 0.1.0 dated 2017-01-14

Title: Teaching Bayesian Inference
Description: Several functions for communicating Bayesian thinking including Bayes rule for deciding among spinners, visualizations for Bayesian inference for one proportion and for one mean, and comparison of two proportions using a discrete prior.
Author: Jim Albert
Maintainer: Jim Albert <albert@bgsu.edu>

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Package support.BWS2 updated to version 0.1-1 with previous version 0.1-0 dated 2017-01-18

Title: Basic Functions for Supporting an Implementation of Case 2 Best-Worst Scaling
Description: Provides three basic functions that support an implementation of Case 2 (profile case) best-worst scaling. The first is to convert an orthogonal main-effect design into questions, the second is to create a dataset suitable for analysis, and the third is to calculate count-based scores.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package pwr updated to version 1.2-1 with previous version 1.2-0 dated 2016-08-24

Title: Basic Functions for Power Analysis
Description: Power analysis functions along the lines of Cohen (1988).
Author: Stephane Champely [aut], Claus Ekstrom [ctb], Peter Dalgaard [ctb], Jeffrey Gill [ctb], Stephan Weibelzahl [ctb], Aditya Anandkumar [ctb], Clay Ford [ctb], Robert Volcic [ctb], Helios De Rosario [cre]
Maintainer: Helios De Rosario <helios.derosario@gmail.com>

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Package msaenet updated to version 2.5 with previous version 2.4 dated 2017-02-18

Title: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description: Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with additional support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.
Author: Nan Xiao [aut, cre]
Maintainer: Nan Xiao <me@nanx.me>

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Package hdnom updated to version 4.8 with previous version 4.6 dated 2017-01-08

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre], Qingsong Xu [aut], Miaozhu Li [aut]
Maintainer: Nan Xiao <me@nanx.me>

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Package gdm updated to version 1.3.2 with previous version 1.3.1 dated 2017-02-27

Title: Generalized Dissimilarity Modeling
Description: A toolkit with functions to fit, plot, and summarize Generalized Dissimilarity Models (Ferrier et al. 2007, <doi:10.1111/j.1472-4642.2007.00341.x>).
Author: Glenn Manion, Matthew Lisk, Simon Ferrier, Diego Nieto-Lugilde, Karel Mokany, Matthew C. Fitzpatrick
Maintainer: Matthew C. Fitzpatrick <mfitzpatrick@umces.edu>

Diff between gdm versions 1.3.1 dated 2017-02-27 and 1.3.2 dated 2017-03-25

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Package enpls updated to version 5.8 with previous version 5.7 dated 2017-01-05

Title: Ensemble Partial Least Squares Regression
Description: An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Author: Nan Xiao [aut, cre], Dongsheng Cao [aut], Miaozhu Li [aut], Qingsong Xu [aut]
Maintainer: Nan Xiao <me@nanx.me>

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Package SSN updated to version 1.1.9 with previous version 1.1.8 dated 2016-10-15

Title: Spatial Modeling on Stream Networks
Description: Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance. Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.
Author: Jay Ver Hoef and Erin Peterson
Maintainer: Jay Ver Hoef <ver.hoef@SpatialStreamNetworks.com>

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New package slimrec with initial version 0.1.0
Package: slimrec
Title: Sparse Linear Method to Predict Ratings and Top-N Recommendations
Version: 0.1.0
Authors@R: person("Srikanth", "KS", email = "sri.teach@gmail.com", role = c("aut", "cre"))
Description: Sparse Linear Method(SLIM) predicts ratings and top-n recommendations suited for sparse implicit positive feedback systems. SLIM is decomposed into multiple elasticnet optimization problems which are solved in parallel over multiple cores. The package is based on "SLIM: Sparse Linear Methods for Top-N Recommender Systems" by Xia Ning and George Karypis <doi:10.1109/ICDM.2011.134>.
Depends: R (>= 3.3.3), stats (>= 3.3.3)
Imports: assertthat (>= 0.1), parallel (>= 3.3.3), Matrix (>= 1.2.8), glmnet (>= 2.0.5), bigmemory (>= 4.5.19), pbapply (>= 1.3.2)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-03-24 20:04:49 UTC; talegari
Author: Srikanth KS [aut, cre]
Maintainer: Srikanth KS <sri.teach@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-25 09:27:15 UTC

More information about slimrec at CRAN
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Package RVAideMemoire updated to version 0.9-64 with previous version 0.9-63 dated 2017-02-24

Title: Diverse Basic Statistical and Graphical Functions
Description: Contains diverse more or less complicated functions, written to simplify user's life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools, bridges between functions of different packages... All functions are presented in the French book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.
Author: Maxime Herv
Maintainer: Maxime Herv <mx.herve@gmail.com>

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Fri, 24 Mar 2017

Package dendextend updated to version 1.5.0 with previous version 1.4.0 dated 2017-01-21

Title: Extending 'Dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.4.0 dated 2017-01-21 and 1.5.0 dated 2017-03-24

 dendextend-1.4.0/dendextend/man/is.dendlist.Rd               |only
 dendextend-1.4.0/dendextend/man/is.dendrogram.Rd             |only
 dendextend-1.4.0/dendextend/man/is.dist.Rd                   |only
 dendextend-1.4.0/dendextend/man/is.hclust.Rd                 |only
 dendextend-1.4.0/dendextend/man/is.phylo.Rd                  |only
 dendextend-1.5.0/dendextend/ChangeLog                        |  131 ++++++++++-
 dendextend-1.5.0/dendextend/DESCRIPTION                      |    8 
 dendextend-1.5.0/dendextend/MD5                              |  108 ++++-----
 dendextend-1.5.0/dendextend/NAMESPACE                        |    9 
 dendextend-1.5.0/dendextend/NEWS                             |   16 +
 dendextend-1.5.0/dendextend/NEWS.md                          |   16 +
 dendextend-1.5.0/dendextend/R/cor_bakers_gamma.R             |   18 -
 dendextend-1.5.0/dendextend/R/cor_cophenetic.R               |   28 +-
 dendextend-1.5.0/dendextend/R/cutree.dendrogram.R            |   29 --
 dendextend-1.5.0/dendextend/R/dendlist.R                     |    9 
 dendextend-1.5.0/dendextend/R/distinct_edges.R               |   38 ---
 dendextend-1.5.0/dendextend/R/entanglement.R                 |   25 --
 dendextend-1.5.0/dendextend/R/find_dend.R                    |only
 dendextend-1.5.0/dendextend/R/find_k.R                       |    6 
 dendextend-1.5.0/dendextend/R/ggdend.R                       |   29 --
 dendextend-1.5.0/dendextend/R/highlight_branches.R           |   13 -
 dendextend-1.5.0/dendextend/R/is.functions.R                 |   55 +---
 dendextend-1.5.0/dendextend/R/labels.R                       |   38 ---
 dendextend-1.5.0/dendextend/R/labels_colors.R                |   22 -
 dendextend-1.5.0/dendextend/R/nleaves.R                      |   53 +---
 dendextend-1.5.0/dendextend/R/rotate.R                       |   68 +----
 dendextend-1.5.0/dendextend/R/set.dendrogram.R               |   47 ---
 dendextend-1.5.0/dendextend/R/tanglegram.R                   |   73 ------
 dendextend-1.5.0/dendextend/R/unbranch.R                     |   20 -
 dendextend-1.5.0/dendextend/R/untangle.R                     |   51 +---
 dendextend-1.5.0/dendextend/build/vignette.rds               |binary
 dendextend-1.5.0/dendextend/inst/doc/Cluster_Analysis.html   |   16 -
 dendextend-1.5.0/dendextend/inst/doc/FAQ.html                |    4 
 dendextend-1.5.0/dendextend/inst/doc/Quick_Introduction.html |    4 
 dendextend-1.5.0/dendextend/inst/doc/introduction.html       |   84 +++----
 dendextend-1.5.0/dendextend/man/click_rotate.Rd              |    5 
 dendextend-1.5.0/dendextend/man/cor_bakers_gamma.Rd          |   14 -
 dendextend-1.5.0/dendextend/man/cor_cophenetic.Rd            |   20 -
 dendextend-1.5.0/dendextend/man/cutree-methods.Rd            |   37 +--
 dendextend-1.5.0/dendextend/man/dend_diff.Rd                 |    9 
 dendextend-1.5.0/dendextend/man/entanglement.Rd              |   12 -
 dendextend-1.5.0/dendextend/man/find_dend.Rd                 |only
 dendextend-1.5.0/dendextend/man/find_k.Rd                    |    9 
 dendextend-1.5.0/dendextend/man/ggdend.Rd                    |   23 +
 dendextend-1.5.0/dendextend/man/highlight_branches.Rd        |   18 -
 dendextend-1.5.0/dendextend/man/highlight_distinct_edges.Rd  |   13 -
 dendextend-1.5.0/dendextend/man/is_some_class.Rd             |only
 dendextend-1.5.0/dendextend/man/labels-assign.Rd             |    7 
 dendextend-1.5.0/dendextend/man/labels_colors.Rd             |    4 
 dendextend-1.5.0/dendextend/man/ladderize.Rd                 |    4 
 dendextend-1.5.0/dendextend/man/nleaves.Rd                   |    2 
 dendextend-1.5.0/dendextend/man/nnodes.Rd                    |    2 
 dendextend-1.5.0/dendextend/man/rotate.Rd                    |   13 -
 dendextend-1.5.0/dendextend/man/set.Rd                       |   38 ---
 dendextend-1.5.0/dendextend/man/shuffle.Rd                   |    2 
 dendextend-1.5.0/dendextend/man/tanglegram.Rd                |   98 +++-----
 dendextend-1.5.0/dendextend/man/unbranch.Rd                  |    8 
 dendextend-1.5.0/dendextend/man/untangle.Rd                  |   23 +
 dendextend-1.5.0/dendextend/tests/testthat/test-untangle.R   |   23 +
 59 files changed, 622 insertions(+), 780 deletions(-)

More information about dendextend at CRAN
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Package WVPlots updated to version 0.2.3 with previous version 0.2.2 dated 2017-02-17

Title: Common Plots for Analysis
Description: Example 'ggplot2' plots we have found useful, under a standardized calling interface.
Author: Nina Zumel, John Mount
Maintainer: John Mount <jmount@win-vector.com>

Diff between WVPlots versions 0.2.2 dated 2017-02-17 and 0.2.3 dated 2017-03-24

 DESCRIPTION                           |   10 ++--
 MD5                                   |   72 +++++++++++++++++-----------------
 NAMESPACE                             |    1 
 R/ROC.R                               |   54 ++++++++++++++++---------
 R/ScatterHist.R                       |   37 +++++++++--------
 R/ScatterHistC.R                      |    2 
 README.md                             |    2 
 build/vignette.rds                    |binary
 inst/doc/WVPlots_concept.html         |    8 +--
 inst/doc/WVPlots_examples.html        |   14 +++---
 man/BinaryYScatterPlot.Rd             |    1 
 man/ClevelandDotPlot.Rd               |    1 
 man/ConditionalSmoothedScatterPlot.Rd |    1 
 man/DiscreteDistribution.Rd           |    1 
 man/DoubleDensityPlot.Rd              |    1 
 man/DoubleHistogramPlot.Rd            |    1 
 man/GainCurvePlot.Rd                  |    1 
 man/GainCurvePlotC.Rd                 |    1 
 man/GainCurvePlotWithNotation.Rd      |    1 
 man/PRPlot.Rd                         |    1 
 man/PlotDistCountNormal.Rd            |    1 
 man/PlotDistDensityBeta.Rd            |    1 
 man/PlotDistDensityNormal.Rd          |    1 
 man/PlotDistHistBeta.Rd               |    1 
 man/ROCPlot.Rd                        |    1 
 man/ROCPlotPair.Rd                    |    1 
 man/ROCPlotPair2.Rd                   |    1 
 man/ScatterBoxPlot.Rd                 |    1 
 man/ScatterBoxPlotH.Rd                |    1 
 man/ScatterHist.Rd                    |    1 
 man/ScatterHistC.Rd                   |    1 
 man/ScatterHistN.Rd                   |    1 
 man/ShadedDensity.Rd                  |    1 
 man/WVPlots.Rd                        |    1 
 man/calcPR.Rd                         |    1 
 man/graphROC.Rd                       |only
 man/reexports.Rd                      |    9 +++-
 tools                                 |only
 38 files changed, 120 insertions(+), 114 deletions(-)

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New package statsgrokse with initial version 0.1.4
Package: statsgrokse
Title: R 'API' Binding to Stats.grok.se Server
Version: 0.1.4
Date: 2017-03-24
Authors@R: c( person( given = "Peter", middle = NULL, family = "Meissner", email = "retep.meissner@gmail.com", role = c("aut", "cre") ), person( family = "R Core Team", role = c("ctb"), comment = "wp_date() generic and its methods are copies/adoptions from base-R versions of as.Date(). See ?wp_date for details." ) )
Maintainer: Peter Meissner <retep.meissner@gmail.com>
Description: The <http://stats.grok.se> server provides data and an 'API' for Wikipedia page view statistics from 2008 up to 2015. This package provides R bindings to the 'API'.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Imports: jsonlite (>= 1.3.0), stringr (>= 1.2.0), httr (>= 1.2.1), utils
Suggests: testthat, knitr
BugReports: https://github.com/petermeissner/statsgrokse/issues
URL: https://github.com/petermeissner/statsgrokse
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-03-24 19:06:22 UTC; peter
Author: Peter Meissner [aut, cre], R Core Team [ctb] (wp_date() generic and its methods are copies/adoptions from base-R versions of as.Date(). See ?wp_date for details.)
Repository: CRAN
Date/Publication: 2017-03-24 19:17:28 UTC

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Package SqlRender updated to version 1.3.0 with previous version 1.2.0 dated 2017-01-16

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include Sql Server, Oracle, PostgreSql, Amazon RedShift, and Microsoft PDW.
Author: Martijn J. Schuemie [aut, cre], Marc A. Suchard [aut],
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SqlRender versions 1.2.0 dated 2017-01-16 and 1.3.0 dated 2017-03-24

 DESCRIPTION                           |   10 
 MD5                                   |   63 +--
 NEWS                                  |   19 +
 R/HelperFunctions.R                   |   57 +--
 R/RenderSql.R                         |   31 +
 README.md                             |    9 
 build/vignette.rds                    |binary
 inst/csv/replacementPatterns.csv      |  579 +++++++++++++++++++---------------
 inst/doc/UsingSqlRender.Rmd           |   26 +
 inst/doc/UsingSqlRender.pdf           |binary
 inst/java/SqlRender.jar               |binary
 java/SqlRender.jardesc                |    4 
 java/org/ohdsi/sql/MainClass.java     |only
 java/org/ohdsi/sql/SqlRender.java     |   26 +
 java/org/ohdsi/sql/SqlSplit.java      |  121 +++----
 java/org/ohdsi/sql/SqlTranslate.java  |  185 +++++++++-
 java/org/ohdsi/sql/StringUtils.java   |   24 +
 java/org/ohdsi/sql/TestSqlRender.java |   26 +
 man/camelCaseToSnakeCase.Rd           |    1 
 man/createRWrapperForSql.Rd           |    1 
 man/loadRenderTranslateSql.Rd         |    1 
 man/readSql.Rd                        |    1 
 man/renderSql.Rd                      |    1 
 man/renderSqlFile.Rd                  |    1 
 man/snakeCaseToCamelCase.Rd           |    1 
 man/splitSql.Rd                       |    1 
 man/translateSql.Rd                   |   20 -
 man/translateSqlFile.Rd               |    7 
 man/writeSql.Rd                       |    1 
 tests/testthat/test-helperFunctions.R |    4 
 tests/testthat/test-renderSql.R       |   16 
 tests/testthat/test-translateSql.R    |  315 ++++++++++++------
 vignettes/UsingSqlRender.Rmd          |   26 +
 33 files changed, 1031 insertions(+), 546 deletions(-)

More information about SqlRender at CRAN
Permanent link


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