Fri, 16 Sep 2016

Package timevis updated to version 0.4 with previous version 0.3 dated 2016-08-29

Title: Create Interactive Timeline Visualizations in R
Description: Create rich and fully interactive timeline visualizations. Timelines can be included in Shiny apps and R markdown documents, or viewed from the R console and RStudio Viewer. 'timevis' includes an extensive API to manipulate a timeline after creation, and supports getting data out of the visualization into R. Based on the 'vis.js' Timeline module and the 'htmlwidgets' R package.
Author: Dean Attali [aut, cre] (R interface), Almende B.V. [aut, cph] (vis.js library, http://visjs.org, http://www.almende.com/home)
Maintainer: Dean Attali <daattali@gmail.com>

Diff between timevis versions 0.3 dated 2016-08-29 and 0.4 dated 2016-09-16

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New package radiant.multivariate with initial version 0.6.0
Package: radiant.multivariate
Type: Package
Title: Multivariate Menu for Radiant: Business Analytics using R and Shiny
Version: 0.6.0
Date: 2016-9-14
Authors@R: person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
Description: The Radiant Multivariate menu includes interfaces for perceptual mapping, factor analysis, cluster analysis, and conjoint analysis. The application extends the functionality in radiant.data.
Depends: R (>= 3.3.0), radiant.data (>= 0.6)
Imports: shiny (>= 0.14), dplyr (>= 0.5), ggplot2 (>= 2.0.0), gridExtra (>= 2.0.0), scales (>= 0.4.0), magrittr (>= 1.5), psych (>= 1.5.8), car (>= 2.1.1), MASS (>= 7.3), wordcloud (>= 2.5), import (>= 1.1.0), methods
Suggests: testthat (>= 1.0.0), covr (>= 1.2.0)
URL: https://github.com/radiant-rstats/radiant.multivariate, https://radiant-rstats.github.io/docs
BugReports: https://github.com/radiant-rstats/radiant.multivariate/issues
License: AGPL-3 | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-17 00:50:38 UTC; vnijs
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>
Repository: CRAN
Date/Publication: 2016-09-17 03:11:45

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Package quickmapr updated to version 0.2.0 with previous version 0.1.1 dated 2015-11-02

Title: Quickly Map and Explore Spatial Data
Description: While analyzing geospatial data, easy visualization is often needed that allows for quick plotting, and simple, but easy interactivity. Additionally, visualizing geospatial data in projected coordinates is also desirable. The 'quickmapr' package provides a simple method to visualize 'sp' and 'raster' objects, allows for basic zooming, panning, identifying, labeling, selecting, and measuring spatial objects. Importantly, it does not require that the data be in geographic coordinates.
Author: Jeffrey W. Hollister [aut, cre]
Maintainer: Jeffrey W. Hollister <hollister.jeff@epa.gov>

Diff between quickmapr versions 0.1.1 dated 2015-11-02 and 0.2.0 dated 2016-09-16

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New package moko with initial version 1.0.0
Package: moko
Type: Package
Title: Multi-Objective Kriging Optimization
Version: 1.0.0
Authors@R: c( person("Adriano", "Passos", email="adriano.utfpr@gmail.com", role=c("aut","cre")), person("Marco", "Luersen", email="luersen@utfpr.edu.br", role="ctb"))
Description: Multi-Objective optimization based on the Kriging metamodel. Important functions: mkm, VMPF, MEGO and HEGO.
Depends: R (>= 3.3.0)
License: GPL-3
LazyData: TRUE
Imports: DiceKriging (>= 1.5.5), DiceOptim (>= 1.5), GenSA (>= 1.1.6), emoa (>= 0.5.0), mco (>= 1.0.15.1), GPareto (>= 1.0.2), methods (>= 3.0.0)
RoxygenNote: 5.0.1
URL: https://github.com/coldfir3/moko
BugReports: https://github.com/coldfir3/moko/issues
Suggests: testthat, knitr, rmarkdown, lhs
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-09-17 00:32:52 UTC; Adriano
Author: Adriano Passos [aut, cre], Marco Luersen [ctb]
Maintainer: Adriano Passos <adriano.utfpr@gmail.com>
Repository: CRAN
Date/Publication: 2016-09-17 03:09:13

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Package GuardianR updated to version 0.7 with previous version 0.6 dated 2016-03-12

Title: The Guardian API Wrapper
Description: Provides an interface to the Open Platform's Content API of the Guardian Media Group. It retrieves content from news outlets The Observer, The Guardian, and guardian.co.uk from 1999 to current day.
Author: Marco Bastos [aut, cre], Cornelius Puschmann [aut], Mark Johnman [ctb]
Maintainer: Marco Bastos <marco@toledobastos.com>

Diff between GuardianR versions 0.6 dated 2016-03-12 and 0.7 dated 2016-09-16

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Package dlsem updated to version 1.3.2 with previous version 1.3.1 dated 2016-09-12

Title: Distributed-Lag Structural Equation Modelling with Second-Order Polynomial Lag Shapes
Description: Estimation and path analysis functionalities for structural equation models with second-order polynomial lag shapes.
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <magrini@disia.unifi.it>

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Package units updated to version 0.3 with previous version 0.2 dated 2016-06-20

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 difftime. 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 SimCorMultRes updated to version 1.4.2 with previous version 1.4.1 dated 2016-07-19

Title: Simulates Correlated Multinomial Responses
Description: Simulates correlated multinomial responses conditional on a marginal model specification.
Author: Anestis Touloumis [aut, cre]
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>

Diff between SimCorMultRes versions 1.4.1 dated 2016-07-19 and 1.4.2 dated 2016-09-16

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New package smooth with initial version 1.4.3
Package: smooth
Type: Package
Title: Forecasting Using Smoothing Functions
Version: 1.4.3
Date: 2016-09-16
Authors@R: person("Ivan", "Svetunkov", email = "ivan@svetunkov.ru", role = c("aut", "cre"), comment="Research Associate at Lancaster Centre for Forecasting, UK")
URL: https://github.com/config-i1/smooth
BugReports: https://github.com/config-i1/smooth/issues
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.12.3), stats, graphics, zoo, nloptr, polynom
LinkingTo: Rcpp, RcppArmadillo (>= 0.6.500.0.0)
Suggests: Mcomp, forecast, numDeriv, testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-09-16 13:34:12 UTC; config
Author: Ivan Svetunkov [aut, cre] (Research Associate at Lancaster Centre for Forecasting, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>
Repository: CRAN
Date/Publication: 2016-09-17 00:52:33

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Package SGPdata updated to version 14.0-0.0 with previous version 13.0-0.0 dated 2016-03-01

Title: Exemplar Data Sets for SGP Analyses
Description: Data sets utilized by the SGP Package as exemplars for users to conduct their own SGP analyses.
Author: Damian W. Betebenner [aut, cre], Adam Van Iwaarden [aut], Ben Domingue [aut]
Maintainer: Damian W. Betebenner <dbetebenner@nciea.org>

Diff between SGPdata versions 13.0-0.0 dated 2016-03-01 and 14.0-0.0 dated 2016-09-16

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Package RobustGaSP updated to version 0.5.2 with previous version 0.5 dated 2016-07-23

Title: Robust Gaussian Stochastic Process Emulation
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. Important functions : rgasp(), predict.rgasp().
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Maintainer: Mengyang Gu <mg211@stat.duke.edu>

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Package recommenderlab updated to version 0.2-1 with previous version 0.2-0 dated 2016-06-01

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to test and develop recommender algorithms including UBCF, IBCF, FunkSVD and association rule-based algorithms.
Author: Michael Hahsler [aut, cre, cph], Bregt Vereet [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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New package inlmisc with initial version 0.1.2
Package: inlmisc
Title: Miscellaneous Functions for the USGS INL Project Office
Version: 0.1.2
Authors@R: person("Jason", "Fisher", email="jfisher@usgs.gov", role=c("aut", "cre"))
Description: A collection of functions for creating high-level graphics, performing raster-based analysis, processing MODFLOW-based models, and overlaying multi-polygon objects. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.
Depends: R (>= 3.2.0)
Imports: dplyr, grDevices, graphics, igraph, methods, sp, stats, raster, rgdal, rgeos
Suggests: colorspace, maptools, testthat
License: CC0
Copyright: This software is in the public domain because it contains materials that originally came from the USGS, an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www2.usgs.gov/visual-id/credit_usgs.html
URL: https://github.com/USGS-R/inlmisc
BugReports: https://github.com/USGS-R/inlmisc/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-16 16:00:54 UTC; jfisher
Author: Jason Fisher [aut, cre]
Maintainer: Jason Fisher <jfisher@usgs.gov>
Repository: CRAN
Date/Publication: 2016-09-17 00:52:31

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Package curl updated to version 2.0 with previous version 1.2 dated 2016-08-13

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other libcurl goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of libcurl is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [cre, aut], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between curl versions 1.2 dated 2016-08-13 and 2.0 dated 2016-09-16

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Package splitfngr updated to version 0.1.1 with previous version 0.1.0 dated 2016-09-14

Title: Combined Evaluation and Split Access of Functions
Description: Some R functions, such as optim(), require a function its gradient passed as separate arguments. When these are expensive to calculate it may be much faster to calculate the function (fn) and gradient (gr) together since they often share many calculations (chain rule). This package allows the user to pass in a single function that returns both the function and gradient, then splits (hence 'splitfngr') them so the results can be accessed separately. The functions provided allow this to be done with any number of functions/values, not just for functions and gradients.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

Diff between splitfngr versions 0.1.0 dated 2016-09-14 and 0.1.1 dated 2016-09-16

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Package pcaPA updated to version 2.0.2 with previous version 2.0.1 dated 2016-09-15

Title: Parallel Analysis for Ordinal and Numeric Data using Polychoric and Pearson Correlations with S3 Classes
Description: A set of functions to perform parallel analysis for principal components analysis intended mainly for large data sets. It performs a parallel analysis of continuous, ordered (including dichotomous/binary as a special case) or mixed type of data associated with a principal components analysis. Polychoric correlations among ordered variables, Pearson correlations among continuous variables and polyserial correlation between mixed type variables (one ordered and one continuous) are used. Whenever the use of polyserial or polychoric correlations yields a non positive definite correlation matrix, the resulting matrix is transformed into the nearest positive definite matrix. This is a continued work based on a previous version developed at the Colombian Institute for the evaluation of education - ICFES.
Author: Carlos A. Arias <caariasr22@gmail.com> and Victor H. Cervantes <Herulor@gmail.com>.
Maintainer: Carlos A. Arias <caariasr22@gmail.com>

Diff between pcaPA versions 2.0.1 dated 2016-09-15 and 2.0.2 dated 2016-09-16

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Package mlxR updated to version 3.1.0 with previous version 3.0.0 dated 2016-04-01

Title: Simulation of Longitudinal Data
Description: Simulation and visualization of complex models for longitudinal data. The models are encoded using the model coding language 'Mlxtran', automatically converted into C++ codes, compiled on the fly and linked to R using the 'Rcpp' package. That allows one to implement very easily complex ODE-based models and complex statistical models, including mixed effects models, for continuous, count, categorical, and time-to-event data.
Author: Marc Lavielle [aut, cre], Raphael Kuate [ctb]
Maintainer: Marc Lavielle <Marc.Lavielle@inria.fr>

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Package heemod updated to version 0.4.0 with previous version 0.3.3 dated 2016-07-01

Title: Models for Health Economic Evaluation
Description: Health Economic Evaluation Modelling. Markov models (homogeneous and non-homogeneous) for health economic evaluation. Model comparison, sensitivity and probabilistic analysis.
Author: Antoine Filipovic-Pierucci [aut, cre], Kevin Zarca [aut], Matthew Wiener [ctb], Zdenek Kabat [ctb], Vojtech Filipec [ctb]
Maintainer: Antoine Filipovic-Pierucci <pierucci@gmail.com>

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Package gofCopula updated to version 0.2-1 with previous version 0.1-3 dated 2016-06-13

Title: Goodness-of-Fit Tests for Copulae
Description: Several GoF tests for Copulae are provided. A new hybrid test is implemented which supports all of the individual tests. Estimation methods for the margins are provided. All the tests support parameter estimation and predefined values. The parameters are estimated by pseudo maximum likelihood but if it fails the estimation switches automatically to inversion of Kendall's tau. All the tests support automatized parallelization of the bootstrapping tasks.
Author: Ostap Okhrin <ostap.okhrin@tu-dresden.de>, Simon Trimborn <simon.trimborn@wiwi.hu-berlin.de>, Shulin Zhang <slzhang@swufe.edu.cn>, Qian M. Zhou <qmzhou@sfu.ca>
Maintainer: Simon Trimborn <simon.trimborn@wiwi.hu-berlin.de>

Diff between gofCopula versions 0.1-3 dated 2016-06-13 and 0.2-1 dated 2016-09-16

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New package fishkirkko2015 with initial version 1.0.0
Package: fishkirkko2015
Type: Package
Title: Dataset of Measurements of Fish Species at Kirkkojarvi Lake, Finland
Version: 1.0.0
Encoding: UTF-8
Authors@R: c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com") )
Description: Dataset of 302 measurements of 11 fish species to accompany the manuscript "Length-weight relationships of six freshwater fish species from lake Kirkkojarvi, Finland".
License: GPL (>= 3)
Depends: R (>= 2.7.0)
Packaged: 2016-09-16 04:06:03 UTC; mk
Author: Jose Gama [aut, cre]
Maintainer: Jose Gama <rxprtgama@gmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2016-09-16 18:15:44

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New package envirem with initial version 1.0
Package: envirem
Type: Package
Title: Generation of ENVIREM Variables
Version: 1.0
Date: 2016-09-16
Author: Pascal O. Title, Jordan B. Bemmels
Maintainer: Pascal Title <ptitle@umich.edu>
Depends: raster
Imports: RSAGA
Suggests: rgdal
Description: Generation of bioclimatic rasters that will be particularly useful for species distribution modeling.
License: GPL (>= 2)
URL: http://envirem.github.io
BugReports: https://github.com/ptitle/envirem/issues
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 5.0.1
Packaged: 2016-09-16 13:01:08 UTC; pascaltitle
Repository: CRAN
Date/Publication: 2016-09-16 18:12:29

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New package coRanking with initial version 0.1.3
Package: coRanking
Title: Co-Ranking Matrix
Version: 0.1.3
Date: 2016-09-16
Author: Guido Kraemer
Maintainer: Guido Kraemer <gkraemer@bgc-jena.mpg.de>
Description: Calculates the co-ranking matrix to assess the quality of a dimensionality reduction.
License: GPL-3
Imports: methods, graphics, stats, Rtsne, scatterplot3d
RoxygenNote: 5.0.1
Collate: 'coranking-package.R' 'coranking.R' 'coranking_internals.R' 'lcmc.R' 'criteria.R' 'image.R' 'rankmatrix.R' 'submatrix.R'
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-09-16 11:41:13 UTC; gkraemer
Repository: CRAN
Date/Publication: 2016-09-16 18:10:36

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Package oceanmap updated to version 0.0.2 with previous version 0.0.1 dated 2016-08-27

Title: A Plotting Toolbox for 2D Oceanographic Data
Description: Plotting toolbox for 2D oceanographic data (satellite data, sst, chla, ocean fronts & bathymetry). Recognized classes and formats include ncdf4, Raster, '.nc' and '.gz' files.
Author: Robert K. Bauer
Maintainer: Robert K. Bauer <robert.bauer@ird.fr>

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Package brms updated to version 1.0.1 with previous version 1.0.0 dated 2016-09-14

Title: Bayesian Regression Models using Stan
Description: Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference.
Author: Paul-Christian Buerkner [aut, cre]
Maintainer: Paul-Christian Buerkner <paul.buerkner@gmail.com>

Diff between brms versions 1.0.0 dated 2016-09-14 and 1.0.1 dated 2016-09-16

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Package asremlPlus updated to version 2.0-12 with previous version 2.0-9 dated 2016-05-15

Title: Augments the Use of 'ASReml-R' in Fitting Mixed Models
Description: Assists in automating the testing of terms in mixed models when 'asreml' is used to fit the models. The content falls into the following natural groupings: (i) Data, (ii) Object manipulation functions, (iii) Model modification functions, (iv) Model testing functions, (v) Model diagnostics functions, (vi) Prediction production and presentation functions, (vii) Response transformation functions, and (viii) Miscellaneous functions. A history of the fitting of a sequence of models is kept in a data frame. Procedures are available for choosing models that conform to the hierarchy or marginality principle and for displaying predictions for significant terms in tables and graphs. The package 'asreml' provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It can be purchased from 'VSNi' <http://www.vsni.co.uk/> as 'asreml-R', who will supply a zip file for local installation/updating.
Author: Chris Brien <Chris.Brien@unisa.edu.au>.
Maintainer: Chris Brien <Chris.Brien@unisa.edu.au>

Diff between asremlPlus versions 2.0-9 dated 2016-05-15 and 2.0-12 dated 2016-09-16

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Package AlignStat updated to version 1.3.1 with previous version 1.3.0 dated 2016-09-13

Title: Comparison of Alternative Multiple Sequence Alignments
Description: Methods for comparing two alternative multiple sequence alignments (MSAs) to determine whether they align homologous residues in the same columns as one another. It then classifies similarities and differences into conserved gaps, conserved sequence, merges, splits or shifts of one MSA relative to the other. Summarising these categories for each MSA column yields information on which sequence regions are agreed upon my both MSAs, and which differ. Several plotting functions enable easily visualisation of the comparison data for analysis.
Author: Thomas Shafee, Ira Cooke
Maintainer: Thomas Shafee <thomas.shafee@gmail.com>

Diff between AlignStat versions 1.3.0 dated 2016-09-13 and 1.3.1 dated 2016-09-16

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Package AEDForecasting updated to version 0.20.0 with previous version 0.10.0 dated 2015-12-11

Title: Change Point Analysis in ARIMA Forecasting
Description: Package to incorporate change point analysis in ARIMA forecasting.
Author: Claster William B. [aut], Philip Sallis [aut], Nhat Cuong Pham [aut, cre]
Maintainer: Nhat Cuong Pham <acmetal74@gmail.com>

Diff between AEDForecasting versions 0.10.0 dated 2015-12-11 and 0.20.0 dated 2016-09-16

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Package SuppDists updated to version 1.1-9.3 with previous version 1.1-9.2 dated 2016-01-21

Title: Supplementary Distributions
Description: Ten distributions supplementing those built into R. Inverse Gauss, Kruskal-Wallis, Kendall's Tau, Friedman's chi squared, Spearman's rho, maximum F ratio, the Pearson product moment correlation coefficiant, Johnson distributions, normal scores and generalized hypergeometric distributions. In addition two random number generators of George Marsaglia are included.
Author: Bob Wheeler <bwheelerg@gmail.com>
Maintainer: ORPHANED

Diff between SuppDists versions 1.1-9.2 dated 2016-01-21 and 1.1-9.3 dated 2016-09-16

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Package read.dbc updated to version 1.0.5 with previous version 1.0.4 dated 2016-06-14

Title: Read Data Stored in DBC (Compressed DBF) Files
Description: Functions for reading and decompressing the DBC (compressed DBF) files. Please note that this is the file format used by the Brazilian Ministry of Health (DATASUS) to publish healthcare datasets. It is not related to the FoxPro or CANdb DBC file formats.
Author: Daniela Petruzalek [aut, cre]
Maintainer: Daniela Petruzalek <daniela.petruzalek@gmail.com>

Diff between read.dbc versions 1.0.4 dated 2016-06-14 and 1.0.5 dated 2016-09-16

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Package ezknitr updated to version 0.6 with previous version 0.5 dated 2016-09-14

Title: Avoid the Typical Working Directory Pain When Using 'knitr'
Description: An extension of 'knitr' that adds flexibility in several ways. One common source of frustration with 'knitr' is that it assumes the directory where the source file lives should be the working directory, which is often not true. 'ezknitr' addresses this problem by giving you complete control over where all the inputs and outputs are, and adds several other convenient features to make rendering markdown/HTML documents easier.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

Diff between ezknitr versions 0.5 dated 2016-09-14 and 0.6 dated 2016-09-16

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Package dae updated to version 2.7-20 with previous version 2.7-16 dated 2016-05-16

Title: Functions Useful in the Design and ANOVA of Experiments
Description: The content falls into the following groupings: (i) Data, (ii) Factor manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v) Matrix functions, (vi) Projector and canonical efficiency functions, and (vii) Miscellaneous functions. A document 'daeDesignRandomization.pdf', available in the doc subdirectory of the installation directory for 'dae', describes the use of the package for generating randomized layouts for experiments. The ANOVA functions facilitate the extraction of information when the 'Error' function has been used in the call to 'aov'.
Author: Chris Brien <Chris.Brien@unisa.edu.au>.
Maintainer: Chris Brien <Chris.Brien@unisa.edu.au>

Diff between dae versions 2.7-16 dated 2016-05-16 and 2.7-20 dated 2016-09-16

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