Sun, 26 Nov 2017

Package simEd updated to version 1.0.3 with previous version 1.0.2 dated 2017-07-08

Title: Simulation Education
Description: Contains various functions to be used for simulation education, including simple Monte Carlo simulation functions, queueing simulation functions, variate generation functions capable of producing independent streams and antithetic variates, functions for illustrating random variate generation for various discrete and continuous distributions, and functions to compute time-persistent statistics. Also contains two queueing data sets (one fabricated, one real-world) to facilitate input modeling.
Author: Barry Lawson, Larry Leemis
Maintainer: Barry Lawson <blawson@richmond.edu>

Diff between simEd versions 1.0.2 dated 2017-07-08 and 1.0.3 dated 2017-11-26

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Package GSODR updated to version 1.1.1 with previous version 1.1.0 dated 2017-10-28

Title: Global Surface Summary of the Day (GSOD) Weather Data from R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Centers for Environmental Information (NCEI) for use in R. Units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCEI, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre] (https://orcid.org/0000-0002-0061-8359), Tomislav Hengl [aut] (https://orcid.org/0000-0002-9921-5129), Andrew Nelson [aut] (https://orcid.org/0000-0002-7249-3778), Hugh Parsonage [cph, ctb] (https://orcid.org/0000-0003-4055-0835), Bob Rudis [cph, ctb] (https://orcid.org/0000-0001-5670-2640)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 1.1.0 dated 2017-10-28 and 1.1.1 dated 2017-11-26

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Package bsamGP updated to version 1.1.1 with previous version 1.1.0 dated 2017-10-22

Title: Bayesian Spectral Analysis Models using Gaussian Process Priors
Description: Contains functions to perform Bayesian inference using a spectral analysis of Gaussian process priors. Gaussian processes are represented with a Fourier series based on cosine basis functions. Currently the package includes parametric linear models, partial linear additive models with/without shape restrictions, generalized linear additive models with/without shape restrictions, and density estimation model. To maximize computational efficiency, the actual Markov chain Monte Carlo sampling for each model is done using codes written in FORTRAN 90. This software has been developed using funding supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
Author: Seongil Jo [aut, cre], Taeryon Choi [aut], Beomjo Park [aut, cre], Peter J. Lenk [ctb]
Maintainer: Beomjo Park <beomjo@korea.ac.kr>

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Package jpmesh updated to version 1.0.0 with previous version 0.4.0 dated 2017-09-29

Title: Utilities for Japanese Mesh Code
Description: Helpful functions for using mesh code (80km to 125m) data in Japan. Visualize mesh code using 'ggplot2' and 'leaflet', etc.
Author: Shinya Uryu [aut, cre] (0000-0002-0493-6186)
Maintainer: Shinya Uryu <suika1127@gmail.com>

Diff between jpmesh versions 0.4.0 dated 2017-09-29 and 1.0.0 dated 2017-11-26

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Package CBPS updated to version 0.15 with previous version 0.14 dated 2017-10-02

Title: Covariate Balancing Propensity Score
Description: Implements the covariate balancing propensity score (CBPS) proposed by Imai and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is estimated such that it maximizes the resulting covariate balance as well as the prediction of treatment assignment. The method, therefore, avoids an iteration between model fitting and balance checking. The package also implements several extensions of the CBPS beyond the cross-sectional, binary treatment setting. The current version implements the CBPS for longitudinal settings so that it can be used in conjunction with marginal structural models from Imai and Ratkovic (2015) <DOI:10.1080/01621459.2014.956872>, treatments with three- and four- valued treatment variables, continuous-valued treatments from Fong, Hazlett, and Imai (2015) <http://imai.princeton.edu/research/files/CBGPS.pdf>, and the situation with multiple distinct binary treatments administered simultaneously. In the future it will be extended to other settings including the generalization of experimental and instrumental variable estimates. Recently we have added the optimal CBPS which chooses the optimal balancing function and results in doubly robust and efficient estimator for the treatment effect as well as high dimensional CBPS when a large number of covariates exist.
Author: Christian Fong [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut], Chad Hazlett [ctb], Xiaolin Yang [ctb], Sida Peng [ctb]
Maintainer: Christian Fong <christianfong@stanford.edu>

Diff between CBPS versions 0.14 dated 2017-10-02 and 0.15 dated 2017-11-26

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Package RNiftyReg updated to version 2.6.1 with previous version 2.6.0 dated 2017-06-27

Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools <http://sourceforge.net/projects/niftyreg/>. Linear and nonlinear registration are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut], Marc Modat [aut], Benoit Presles [aut], Thanasis Anthopoulos [aut], Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNiftyReg versions 2.6.0 dated 2017-06-27 and 2.6.1 dated 2017-11-26

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Package FarmTest updated to version 1.0.1 with previous version 1.0.0 dated 2017-10-24

Title: Factor Adjusted Robust Multiple Testing
Description: Performs robust multiple testing for means in the presence of known and unknown latent factors. It implements a robust procedure to estimate distribution parameters using the Huber's loss function and accounts for strong dependence among coordinates via an approximate factor model. This method is particularly suitable for high dimensional data when there are many variables but only a small number of observations available. Moreover, the method is tailored to cases when the underlying distribution deviates from Gaussian, which is commonly assumed in the literature. Besides the results of hypotheses testing, the estimated underlying factors and diagnostic plots are also output. Multiple comparison correction is done after estimating the proportion of true null hypotheses using the method in Storey (2015) <https://github.com/jdstorey/qvalue>. See the paper on the 'FarmTest' method, Zhou et al.(2017) <https://goo.gl/68SJpd>, for detailed description of methods and further references.
Author: Koushiki Bose [aut, cre], Yuan Ke [aut], Wen-xin Zhou [aut]
Maintainer: Koushiki Bose <bose@princeton.edu>

Diff between FarmTest versions 1.0.0 dated 2017-10-24 and 1.0.1 dated 2017-11-26

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Package asciiSetupReader updated to version 1.2 with previous version 1.1 dated 2017-10-11

Title: Reads 'SPSS' and 'SAS' Files from ASCII Data Files (.txt) and Setup Files (.sps or .sas)
Description: Lets you open an 'SPSS' or 'SAS' data file using a .txt file that has the data and a .sps or .sas file with setup instructions. This will only run in a txt-sps or txt-sas pair in which the setup file contains instructions to open that text file. It will NOT open other text files, .sav, .por, or 'SAS' files.
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between asciiSetupReader versions 1.1 dated 2017-10-11 and 1.2 dated 2017-11-26

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New package ruler with initial version 0.1.0
Package: ruler
Title: Tidy Data Validation Reports
Version: 0.1.0
Authors@R: person("Evgeni", "Chasnovski", email = "evgeni.chasnovski@gmail.com", role = c("aut", "cre"))
Description: Tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using 'dplyr' grammar of data manipulation.
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/echasnovski/ruler
BugReports: https://github.com/echasnovski/ruler/issues
RoxygenNote: 6.0.1
Imports: keyholder, dplyr (>= 0.7.0), rlang, tidyr (>= 0.7.0)
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-25 16:34:53 UTC; evgeni
Author: Evgeni Chasnovski [aut, cre]
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-26 16:22:37 UTC

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Package rfoaas updated to version 1.1.1 with previous version 1.1.0 dated 2016-08-27

Title: R Interface to 'FOAAS'
Description: R access to the 'FOAAS' (F... Off As A Service) web service is provided.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between rfoaas versions 1.1.0 dated 2016-08-27 and 1.1.1 dated 2017-11-26

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New package RAPTOR with initial version 1.0.0
Package: RAPTOR
Type: Package
Title: Row and Position Tracheid Organizer
Version: 1.0.0
Date: 2017-11-23
Authors@R: c( person('Richard L. Peters', role = c('aut', 'cre', 'cph'), email = 'richardlouispeters3@hotmail.com'), person('Daniel Balanzategui', role = c('ctr')), person('Alexander Hurley', role = c('ctr')), person('Georg von Arx', role = 'ctr'), person('Angela Luisa Prendin', role = 'ctr'), person('Henri E. Cuny', role = 'ctr'), person('Jesper Bjoerklund', role = 'ctr'), person('David C. Frank', role = 'ctr'), person('Patrick Fonti', role = c('ths','ctr','fnd')))
Maintainer: Richard L. Peters <richardlouispeters3@hotmail.com>
Depends: R (>= 3.4.2)
Description: Performs wood cell anatomical data analyses on spatially explicit xylem (tracheids) datasets derived from thin sections of woody tissue. The package includes functions for visualisation, detection and alignment of continuous tracheid radial file (defined as rows) and individual tracheid position within an annual ring of coniferous species. This package is designed to be used with elaborate cell output, e.g. as provided with ROXAS (von Arx & Carrer, 2014 <doi:10.1016/j.dendro.2013.12.001>). The package has been validated for Picea abies, Larix Siberica, Pinus cembra and Pinus sylvestris.
License: GPL (>= 2)
NeedsCompilation: no
Encoding: UTF-8
LazyData: true
Imports: mgcv, stats, utils, graphics, grDevices
Repository: CRAN
RoxygenNote: 6.0.1
Suggests: testthat
Packaged: 2017-11-25 07:51:47 UTC; ahurl
Author: Richard L. Peters [aut, cre, cph], Daniel Balanzategui [ctr], Alexander Hurley [ctr], Georg von Arx [ctr], Angela Luisa Prendin [ctr], Henri E. Cuny [ctr], Jesper Bjoerklund [ctr], David C. Frank [ctr], Patrick Fonti [ths, ctr, fnd]
Date/Publication: 2017-11-26 16:02:49 UTC

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New package intrinsicDimension with initial version 1.1.0
Package: intrinsicDimension
Type: Package
Title: Intrinsic Dimension Estimation
Version: 1.1.0
Date: 2017-11-15
Author: Kerstin Johnsson, Lund University
Maintainer: Kerstin Johnsson <kerstin.johnsson@hotmail.com>
Depends: yaImpute
Description: A variety of methods for estimating intrinsic dimension of data sets (i.e the manifold or Hausdorff dimension of the support of the distribution that generated the data) as reviewed in Johnsson, K. (2016, ISBN:978-91-7623-921-6) and Johnsson, K., Soneson, C. and Fontes, M. (2015) <doi:10.1109/TPAMI.2014.2343220>. Furthermore, to evaluate the performance of these estimators, functions for generating data sets with given intrinsic dimensions are provided.
License: MIT + file LICENSE
LazyLoad: yes
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-26 15:36:43 UTC; johnsson
Repository: CRAN
Date/Publication: 2017-11-26 16:42:55 UTC

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New package ggalluvial with initial version 0.5.0
Package: ggalluvial
Type: Package
Title: Alluvial Diagrams in 'ggplot2'
Version: 0.5.0
Date: 2017-11-23
Authors@R: person('Jason Cory', 'Brunson', email = 'cornelioid@gmail.com', role = c('aut', 'cre'))
Maintainer: Jason Cory Brunson <cornelioid@gmail.com>
Description: Alluvial diagrams encompass a variety of charts that use x-splines (alluvia and flows), sometimes augmented with stacked bars (lodes or strata), to visualize incidence structures derived from several data types, including repeated categorical measures, evolving classifications, and multi-dimensional categorical data. This package contains stat and geom layers that interpret multiple data formats compatible with this framework while hewing to the principles of tidy data and the grammar of graphics.
Depends: R (>= 3.3.1), ggplot2
Imports: stats, grid, dplyr, tidyr, lazyeval, alluvial
Suggests: testthat, knitr, babynames
License: GPL-2
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-11-24 11:18:53 UTC; corybrunson
Author: Jason Cory Brunson [aut, cre]
Repository: CRAN
Date/Publication: 2017-11-26 16:14:37 UTC

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New package epitrix with initial version 0.1.0
Package: epitrix
Title: Small Helpers and Tricks for Epidemics Analysis
Version: 0.1.0
Authors@R: c(person("Thibaut", "Jombart", email = "thibautjombart@gmail.com", role = c("aut", "cre")), person("Anne", "Cori", email = "a.cori@imperial.ac.uk", role = c("aut")))
Description: A collection of small functions useful for epidemics analysis and infectious disease modelling. This includes computation of basic reproduction numbers from growth rates, generation of hashed labels to anonymise data, and fitting discretised Gamma distributions.
Depends: R (>= 3.3.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, roxygen2, outbreaks, incidence, knitr, rmarkdown
Imports: digest, distcrete, stringi
RoxygenNote: 6.0.1
URL: https://github.com/reconhub/epitrix/
BugReports: https://github.com/reconhub/epitrix/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-26 16:33:07 UTC; thibaut
Author: Thibaut Jombart [aut, cre], Anne Cori [aut]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-26 16:48:51 UTC

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New package deisotoper with initial version 0.0.1
Package: deisotoper
Type: Package
Title: Detection of Isotope Pattern of a Mass Spectrometric Measurement
Version: 0.0.1
Authors@R: c(person("Christian", "Panse", email = "cp@fgcz.ethz.ch", role = c("cre", "aut"), comment = c(ORCID = "0000-0003-1975-3064")), person("Lucas", "Schmidt", email = "Lucas.Schmidt@gmail.com", role = c("ctb", "aut"), comment = c(ORCID = "0000-0003-4496-0487")), person("Witold E.", "Wolski", role = c("ctb", "aut")))
Author: Christian Panse [cre, aut] (0000-0003-1975-3064), Lucas Schmidt [ctb, aut] (0000-0003-4496-0487), Witold E. Wolski [ctb, aut]
Maintainer: Christian Panse <cp@fgcz.ethz.ch>
Depends: R (>= 3.4.2), rJava (>= 0.9)
Suggests: DiagrammeR, lattice, roxygen2, protViz (>= 0.2.45), shiny, testthat, knitr, rmarkdown
SystemRequirements: Java (>= 8.0), GNU make
Description: Provides a low-level interface for a deisotoper container implemented in the 'Java' programming language and means of S3 helper functions for deisotoping, plotting and debugging isotopes of mass spectrometric data. We use this package mainly for prototyping, teaching and having fun.
License: GPL-3
URL: https://github.com/protViz/deisotoper/
BugReports: https://github.com/protViz/deisotoper/issues deisotoper.R
LazyData: true
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2017-11-25 09:44:27 UTC; cp
Repository: CRAN
Date/Publication: 2017-11-26 16:06:37 UTC

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Package decisionSupport updated to version 1.103.2 with previous version 1.102.2 dated 2017-11-13

Title: Quantitative Support of Decision Making under Uncertainty
Description: Supporting the quantitative analysis of binary welfare based decision making processes using Monte Carlo simulations. Decision support is given on two levels: (i) The actual decision level is to choose between two alternatives under probabilistic uncertainty. This package calculates the optimal decision based on maximizing expected welfare. (ii) The meta decision level is to allocate resources to reduce the uncertainty in the underlying decision problem, i.e to increase the current information to improve the actual decision making process. This problem is dealt with using the Value of Information Analysis. The Expected Value of Information for arbitrary prospective estimates can be calculated as well as Individual Expected Value of Perfect Information. The probabilistic calculations are done via Monte Carlo simulations. This Monte Carlo functionality can be used on its own.
Author: Eike Luedeling [cre, aut] (ICRAF), Lutz Goehring [aut] (ICRAF and Lutz Goehring Consulting)
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

Diff between decisionSupport versions 1.102.2 dated 2017-11-13 and 1.103.2 dated 2017-11-26

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Package BioInstaller updated to version 0.3.1 with previous version 0.2.2 dated 2017-10-31

Title: Lightweight Biology Software Installer
Description: Can be used to install and download massive bioinformatics analysis softwares and databases, such as NGS reads mapping tools with its required databases.
Author: Jianfeng Li [aut, cre]
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

Diff between BioInstaller versions 0.2.2 dated 2017-10-31 and 0.3.1 dated 2017-11-26

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New package shinyaframe with initial version 1.0.1
Package: shinyaframe
Type: Package
Title: 'WebVR' Data Visualizations with 'RStudio Shiny' and 'Mozilla A-Frame'
Version: 1.0.1
Authors@R: person("William", "Murphy", email = "william.murphy.rd@gmail.com", role = c("cre", "aut"))
Description: Make R data available in Web-based virtual reality experiences for immersive, cross-platform data visualizations. Includes the 'gg-aframe' JavaScript package for a Grammar of Graphics declarative HTML syntax to create 3-dimensional data visualizations with 'Mozilla A-Frame' <https://aframe.io>.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: shiny, htmlwidgets, htmltools
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, scales, dplyr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-11-24 17:30:32 UTC; vrbox
Author: William Murphy [cre, aut]
Maintainer: William Murphy <william.murphy.rd@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-26 15:29:43 UTC

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New package RClickhouse with initial version 0.3.0
Package: RClickhouse
Type: Package
Title: A 'DBI' Interface to the 'Yandex Clickhouse' Database Providing Basic 'dplyr' Support
Version: 0.3.0
Encoding: UTF-8
Authors@R: c( person("Christian", "Hotz-Behofsits", email = "christian.hotz-behofsits@wu.ac.at", role = c("aut", "cre")), person("Clemens", "Danninger", email="cran@b8000h.org", role = c("aut")), person("Dan", "Egnor", role = c("aut")), person("Vlad", "Losev", email = "vladl@google.com", role = c("aut")), person("Keith", "Ray", email = "keith.ray@gmail.com", role = c("aut")), person("Zhanyong", "Wan", email = "wan@google.com", role = c("aut")), person("Markus", "Heule", email = "mheule@google.com", role = c("aut")), person(family = "Google", role = c("cph")), person("Yann", "Collet", role = c("cph")) )
Description: 'Yandex Clickhouse' (<https://clickhouse.yandex/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' 'methods' and using 'dplyr'/'dbplyr' idioms.
License: GPL-3
SystemRequirements: C++11
Imports: dplyr (>= 0.7.0), dbplyr (>= 1.0.0), methods (>= 3.3.2), DBI (>= 0.3.1), Rcpp (>= 0.11.0)
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
Depends: R (>= 3.3.2)
Suggests: testthat
Collate: 'RcppExports.R' 'RClickhouse.R' 'ClickhouseDriver.R' 'ClickhouseConnection.R' 'ClickhouseResult.R' 'dplyr.R' 'zzz.R'
URL: https://github.com/IMSMWU/RClickhouse
BugReports: https://github.com/IMSMWU/RClickhouse/issues
LinkingTo: Rcpp
Packaged: 2017-11-24 16:58:46 UTC; chris
Author: Christian Hotz-Behofsits [aut, cre], Clemens Danninger [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], Markus Heule [aut], Google [cph], Yann Collet [cph]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>
Repository: CRAN
Date/Publication: 2017-11-26 15:25:25 UTC

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Package mixOmics updated to version 6.3.1 with previous version 6.3.0 dated 2017-10-13

Title: Omics Data Integration Project
Description: Multivariate methods are well suited to large omics data sets where the number of variables (e.g. genes, proteins, metabolites) is much larger than the number of samples (patients, cells, mice). They have the appealing properties of reducing the dimension of the data by using instrumental variables (components), which are defined as combinations of all variables. Those components are then used to produce useful graphical outputs that enable better understanding of the relationships and correlation structures between the different data sets that are integrated. mixOmics offers a wide range of multivariate methods for the exploration and integration of biological datasets with a particular focus on variable selection. The package proposes several sparse multivariate models we have developed to identify the key variables that are highly correlated, and/or explain the biological outcome of interest. The data that can be analysed with mixOmics may come from high throughput sequencing technologies, such as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc) but also beyond the realm of omics (e.g. spectral imaging). The methods implemented in mixOmics can also handle missing values without having to delete entire rows with missing data. A non exhaustive list of methods include variants of generalised Canonical Correlation Analysis, sparse Partial Least Squares and sparse Discriminant Analysis. Recently we implemented integrative methods to combine multiple data sets: N-integration with variants of Generalised Canonical Correlation Analysis and P-integration with variants of multi-group Partial Least Squares.
Author: Kim-Anh Le Cao, Florian Rohart, Ignacio Gonzalez, Sebastien Dejean with key contributors Benoit Gautier, Francois Bartolo and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Maintainer: Kim-Anh Le Cao <kimanh.lecao@unimelb.edu.au>

Diff between mixOmics versions 6.3.0 dated 2017-10-13 and 6.3.1 dated 2017-11-26

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Package errors updated to version 0.2.0 with previous version 0.1.0 dated 2017-09-26

Title: Error Propagation for R Vectors
Description: Support for painless automatic error propagation in numerical operations.
Author: Iñaki Ucar [aut, cph, cre]
Maintainer: Iñaki Ucar <i.ucar86@gmail.com>

Diff between errors versions 0.1.0 dated 2017-09-26 and 0.2.0 dated 2017-11-26

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 errors-0.2.0/errors/R/ops.R                       |   31 +++
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 errors-0.2.0/errors/R/print.R                     |   58 ++++---
 errors-0.2.0/errors/R/summary.R                   |   31 ++-
 errors-0.2.0/errors/README.md                     |   83 +++-------
 errors-0.2.0/errors/man/Extract.errors.Rd         |only
 errors-0.2.0/errors/man/as.data.frame.errors.Rd   |only
 errors-0.2.0/errors/man/as.matrix.errors.Rd       |only
 errors-0.2.0/errors/man/c.errors.Rd               |only
 errors-0.2.0/errors/man/cbind.errors.Rd           |only
 errors-0.2.0/errors/man/diff.errors.Rd            |only
 errors-0.2.0/errors/man/errors.Rd                 |   43 +++--
 errors-0.2.0/errors/man/format.errors.Rd          |   12 +
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 errors-0.2.0/errors/man/t.errors.Rd               |only
 errors-0.2.0/errors/man/type_sum.errors.Rd        |    4 
 errors-0.2.0/errors/tests/testthat/test-misc.R    |   69 ++++++++
 errors-0.2.0/errors/tests/testthat/test-ops.R     |   23 +-
 errors-0.2.0/errors/tests/testthat/test-summary.R |    4 
 31 files changed, 520 insertions(+), 180 deletions(-)

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New package EKMCMC with initial version 0.1.0
Package: EKMCMC
Type: Package
Title: MCMC Procedures for Estimating Enzyme Kinetics Constants
Version: 0.1.0
Author: Boseung Choi, Grzegorz A. Rempala, Jae Kyoung Kim
Maintainer: Boseung Choi <cbskust@gmail.com>
Description: Functions for estimating catalytic constant and Michaelis-Menten constant for enzyme kinetics model using Metropolis-Hasting algorithm within Gibbs sampler based on the Bayesian framework. Additionally, a function to create plot to identify the goodness-of-fit is included.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: numDeriv
Depends: R (>= 3.4.2)
NeedsCompilation: no
Packaged: 2017-11-24 14:55:40 UTC; cbskust
Repository: CRAN
Date/Publication: 2017-11-26 15:16:20 UTC

More information about EKMCMC at CRAN
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Package wordnet updated to version 0.1-14 with previous version 0.1-13 dated 2017-11-12

Title: WordNet Interface
Description: An interface to WordNet using the Jawbone Java API to WordNet. WordNet (<http://wordnet.princeton.edu/>) is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. Please note that WordNet(R) is a registered tradename. Princeton University makes WordNet available to research and commercial users free of charge provided the terms of their license (<http://wordnet.princeton.edu/wordnet/license/>) are followed, and proper reference is made to the project using an appropriate citation (<http://wordnet.princeton.edu/wordnet/citing-wordnet/>).
Author: Ingo Feinerer [aut], Kurt Hornik [aut, cre] (<https://orcid.org/0000-0003-4198-9911>), Mike Wallace [ctb, cph] (Jawbone Java WordNet API library)
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between wordnet versions 0.1-13 dated 2017-11-12 and 0.1-14 dated 2017-11-26

 wordnet-0.1-13/wordnet/R/onload.R           |only
 wordnet-0.1-14/wordnet/DESCRIPTION          |    6 +++---
 wordnet-0.1-14/wordnet/MD5                  |    8 ++++----
 wordnet-0.1-14/wordnet/R/init.R             |only
 wordnet-0.1-14/wordnet/R/synsets.R          |    1 +
 wordnet-0.1-14/wordnet/inst/doc/wordnet.pdf |binary
 6 files changed, 8 insertions(+), 7 deletions(-)

More information about wordnet at CRAN
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