Mon, 27 Aug 2018

Package tfestimators updated to version 1.9.0 with previous version 1.5 dated 2018-01-18

Title: Interface to 'TensorFlow' Estimators
Description: Interface to 'TensorFlow' Estimators <https://www.tensorflow.org/programmers_guide/estimators>, a high-level API that provides implementations of many different model types including linear models and deep neural networks.
Author: JJ Allaire [aut], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Kevin Ushey [aut], Kevin Kuo [aut, cre] (<https://orcid.org/0000-0001-7803-7901>), Daniel Falbel [ctb, cph], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Kevin Kuo <kevin.kuo@rstudio.com>

Diff between tfestimators versions 1.5 dated 2018-01-18 and 1.9.0 dated 2018-08-27

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 tfestimators-1.9.0/tfestimators/R/input_fn.R                                     |   20 
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More information about tfestimators at CRAN
Permanent link

Package vpc updated to version 1.1.0 with previous version 1.0.1 dated 2018-01-23

Title: Create Visual Predictive Checks
Description: Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Author: Ron Keizer <ronkeizer@gmail.com>
Maintainer: Ron Keizer <ronkeizer@gmail.com>

Diff between vpc versions 1.0.1 dated 2018-01-23 and 1.1.0 dated 2018-08-27

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 9 files changed, 93 insertions(+), 56 deletions(-)

More information about vpc at CRAN
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Package cloudml updated to version 0.6.0 with previous version 0.5.1 dated 2018-06-12

Title: Interface to the Google Cloud Machine Learning Platform
Description: Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/ml-engine>, which provides cloud tools for training machine learning models.
Author: Javier Luraschi [aut, cre], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]
Maintainer: Javier Luraschi <javier@rstudio.com>

Diff between cloudml versions 0.5.1 dated 2018-06-12 and 0.6.0 dated 2018-08-27

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More information about cloudml at CRAN
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Package auditor updated to version 0.3.0 with previous version 0.2.1 dated 2018-05-13

Title: Model Audit - Verification, Validation, and Error Analysis
Description: Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
Author: Alicja Gosiewska [aut, cre], Przemyslaw Biecek [aut, ths]
Maintainer: Alicja Gosiewska <alicjagosiewska@gmail.com>

Diff between auditor versions 0.2.1 dated 2018-05-13 and 0.3.0 dated 2018-08-27

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More information about auditor at CRAN
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Package finalfit updated to version 0.8.5 with previous version 0.8.4 dated 2018-08-01

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison, Tom Drake, Riinu Ots
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

Diff between finalfit versions 0.8.4 dated 2018-08-01 and 0.8.5 dated 2018-08-27

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New package prob with initial version 1.0-1
Package: prob
Version: 1.0-1
Date: 2018-08-27
Title: Elementary Probability on Finite Sample Spaces
Authors@R: person(given = "G. Jay", family = "Kerns", role = c("aut", "cre", "cph"), email = "gkerns@ysu.edu")
Depends: combinat, fAsianOptions
Suggests: VGAM, reshape, MASS, hypergeo
Description: A framework for performing elementary probability calculations on finite sample spaces, which may be represented by data frames or lists. Functionality includes setting up sample spaces, counting tools, defining probability spaces, performing set algebra, calculating probability and conditional probability, tools for simulation and checking the law of large numbers, adding random variables, and finding marginal distributions. Characteristic functions for all base R distributions are included.
License: GPL (>= 3)
URL: http://prob.r-forge.r-project.org, http://gkerns.people.ysu.edu/
Author: G. Jay Kerns [aut, cre, cph]
Maintainer: G. Jay Kerns <gkerns@ysu.edu>
Repository: CRAN
Repository/R-Forge/Project: prob
Repository/R-Forge/Revision: 51
Repository/R-Forge/DateTimeStamp: 2018-08-27 16:33:32
Date/Publication: 2018-08-27 19:20:03 UTC
NeedsCompilation: no
Packaged: 2018-08-27 16:50:38 UTC; rforge

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New package multicolor with initial version 0.1.0
Package: multicolor
Type: Package
Title: Add Multiple Colors to your Console Output
Version: 0.1.0
Author: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>
Maintainer: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>
Description: Add multiple colors to text that is printed to the console.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
URL: http://github.com/aedobbyn/multicolor/
BugReports: https://github.com/aedobbyn/multicolor/issues/
Imports: cowsay, crayon, dplyr, glue, magrittr, purrr, stringr, tibble (>= 1.2), tidyr
Suggests: covr, knitr, rmarkdown, testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-08-27 13:48:39 UTC; amanda
Repository: CRAN
Date/Publication: 2018-08-27 19:40:03 UTC

More information about multicolor at CRAN
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Package MCMCvis updated to version 0.11.2 with previous version 0.11.0 dated 2018-05-21

Title: Tools to Visualize, Manipulate, and Summarize MCMC Output
Description: Performs key functions for MCMC analysis using minimal code - visualizes, manipulates, and summarizes MCMC output. Functions support simple and straightforward subsetting of model parameters within the calls, and produce presentable and 'publication-ready' output. MCMC output may be derived from Bayesian model output fit with JAGS, Stan, or other MCMC samplers.
Author: Casey Youngflesh [aut, cre] (<https://orcid.org/0000-0001-6343-3311>), Christian Che-Castaldo [ctb], Tyler Hardy [ctb]
Maintainer: Casey Youngflesh <caseyyoungflesh@gmail.com>

Diff between MCMCvis versions 0.11.0 dated 2018-05-21 and 0.11.2 dated 2018-08-27

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Package georob updated to version 0.3-7 with previous version 0.3-6 dated 2018-01-26

Title: Robust Geostatistical Analysis of Spatial Data
Description: Provides functions for efficiently fitting linear models with spatially correlated errors by robust and Gaussian (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions, along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes, unbiased back-transformation of Kriging predictions of log-transformed data.
Author: Andreas Papritz [cre, aut], Cornelia Schwierz [ctb]
Maintainer: Andreas Papritz <andreas.papritz@env.ethz.ch>

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Package calpassapi updated to version 0.0.2 with previous version 0.0.1 dated 2018-08-24

Title: R Interface to Access CalPASS API
Description: Implements methods for querying data from CalPASS using its API. CalPASS Plus. MMAP API V1. <https://mmap.calpassplus.org/docs/index.html>.
Author: Vinh Nguyen [aut, cre]
Maintainer: Vinh Nguyen <nguyenvq714@gmail.com>

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Package pdp updated to version 0.7.0 with previous version 0.6.0 dated 2017-07-19

Title: Partial Dependence Plots
Description: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Author: Brandon Greenwell [aut, cre] (<https://orcid.org/0000-0002-8120-0084>)
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>

Diff between pdp versions 0.6.0 dated 2017-07-19 and 0.7.0 dated 2018-08-27

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Package RRreg updated to version 0.7.0 with previous version 0.6.9 dated 2018-07-26

Title: Correlation and Regression Analyses for Randomized Response Data
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The statistical analysis of cheating paradigms. Behavior Research Methods, 49, 724–732, <doi:10.3758/s13428-016-0729-x>).
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>

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Package enveomics.R updated to version 1.3.3 with previous version 1.3.2 dated 2018-08-09

Title: Various Utilities for Microbial Genomics and Metagenomics
Description: A collection of functions for microbial ecology and other applications of genomics and metagenomics. Companion package for the Enveomics Collection (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016 <DOI:10.7287/peerj.preprints.1900v1>).
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>

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Package coalitions updated to version 0.6.4 with previous version 0.6.2 dated 2018-03-15

Title: Coalition Probabilities in Multi-Party Democracies
Description: An implementation of a MCMC method to calculate probabilities for a coalition majority based on survey results, see Bender and Bauer (2018) <doi:10.21105/joss.00606>.
Author: Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Alexander Bauer [aut] (<https://orcid.org/0000-0003-3495-5131>)
Maintainer: Andreas Bender <andreas.bender@stat.uni-muenchen.de>

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Package leaflet updated to version 2.0.2 with previous version 2.0.1 dated 2018-06-04

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny applications and R Markdown documents.
Author: Joe Cheng [aut, cre], Bhaskar Karambelkar [aut], Yihui Xie [aut], Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], Barret Schloerke [ctb], jQuery Foundation and contributors [ctb, cph] (jQuery library), Vladimir Agafonkin [ctb, cph] (Leaflet library), CloudMade [cph] (Leaflet library), Leaflet contributors [ctb] (Leaflet library), Leaflet Providers contributors [ctb, cph] (Leaflet Providers plugin), Brandon Copeland [ctb, cph] (leaflet-measure plugin), Joerg Dietrich [ctb, cph] (Leaflet.Terminator plugin), Benjamin Becquet [ctb, cph] (Leaflet.MagnifyingGlass plugin), Norkart AS [ctb, cph] (Leaflet.MiniMap plugin), L. Voogdt [ctb, cph] (Leaflet.awesome-markers plugin), Daniel Montague [ctb, cph] (Leaflet.EasyButton plugin), Kartena AB [ctb, cph] (Proj4Leaflet plugin), Robert Kajic [ctb, cph] (leaflet-locationfilter plugin), Mapbox [ctb, cph] (leaflet-omnivore plugin), Michael Bostock [ctb, cph] (topojson), RStudio [cph]
Maintainer: Joe Cheng <joe@rstudio.com>

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Package miceMNAR updated to version 1.0.2 with previous version 1.0.1 dated 2018-05-29

Title: Missing not at Random Imputation Models for Multiple Imputation by Chained Equation
Description: Provides imputation models and functions for binary or continuous Missing Not At Random (MNAR) outcomes through the use of the 'mice' package. The mice.impute.hecknorm() function provides imputation model for continuous outcome based on Heckman's model also named sample selection model as described in Galimard et al (2018) and Galimard et al (2016) <doi:10.1002/sim.6902>. The mice.impute.heckprob() function provides imputation model for binary outcome based on bivariate probit model as described in Galimard et al (2018).
Author: Jacques-Emmanuel Galimard [aut, cre] (INSERM, U1153, ECSTRA team), Matthieu Resche-Rigon [aut] (INSERM, U1153, ECSTRA team)
Maintainer: Jacques-Emmanuel Galimard <jacques-emmanuel.galimard@inserm.fr>

Diff between miceMNAR versions 1.0.1 dated 2018-05-29 and 1.0.2 dated 2018-08-27

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Package FishResp updated to version 0.4.0 with previous version 0.3.0 dated 2018-06-01

Title: Analytical Tool for Aquatic Respirometry
Description: Calculates metabolic rate of fish and other aquatic organisms measured using an intermittent-flow respirometry approach. The tool is used to run a set of graphical QC tests of raw respirometry data, correct it for background r espiration and chamber effect, filter and extract target values of absolute and mass-specific metabolic rate. Experimental design should include background respiration tests and measuring of one or more metabolic rate traits. The package allows a user to import raw respirometry data obtained from 'AquaResp' (free software), 'AutoResp' (LoligoSystems), 'OxyView' (PreSens), 'Pyro Oxygen Logger' (PyroScience) and 'Qbox-Aqua' (QubitSystems).
Author: Sergey Morozov [aut, cre], R.J. Scott McCairns [aut], Federico Calboli [ctb]
Maintainer: Sergey Morozov <sergey.morozov@helsinki.fi>

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Package MXM updated to version 1.3.9 with previous version 1.3.8 dated 2018-07-29

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including 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. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>.
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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Package projections updated to version 0.3.1 with previous version 0.3.0 dated 2018-06-20

Title: Project Future Case Incidence
Description: Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R0 in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>.
Author: Thibaut Jombart [aut, cre], Pierre Nouvellet [aut], Sangeeta Bhatia [ctb], Zhian N. Kamvar [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

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New package eplusr with initial version 0.9.0
Package: eplusr
Title: A Toolkit for Using Whole Building Simulation Program 'EnergyPlus'
Version: 0.9.0
Authors@R: person(given = "Hongyuan", family = "Jia", role = c("aut", "cre"), email = "hongyuanjia@cqu.edu.cn", comment = c(ORCID = "0000-0002-0075-8183"))
Description: A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
License: GPL-3
URL: https://hongyuanjia.github.io/eplusr, https://github.com/hongyuanjia/eplusr
BugReports: https://github.com/hongyuanjia/eplusr/issues
Depends: R (>= 3.2.0)
Imports: R6, RSQLite, assertthat, callr (>= 2.0.4), cli, crayon, data.table (>= 1.9.8), fasttime, later, lubridate, processx (>= 3.2.0), progress (>= 1.2.0), readr, stringr, units, uuid
Suggests: testthat, covr, pkgdown, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
SystemRequirements: EnergyPlus (<https://energyplus.net>)
RoxygenNote: 6.1.0
Collate: 'constants.R' 'utils.R' 'units.R' 'assertions.R' 'impl.R' 'parse.R' 'epw.R' 'idd.R' 'idd_object.R' 'idf.R' 'idf_object.R' 'validate.R' 'format.R' 'run.R' 'sql.R' 'job.R' 'param.R' 'install.R' 'eplusr.R' 'zzz.R'
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-24 18:13:38 UTC; hongyuanjia
Author: Hongyuan Jia [aut, cre] (<https://orcid.org/0000-0002-0075-8183>)
Maintainer: Hongyuan Jia <hongyuanjia@cqu.edu.cn>
Repository: CRAN
Date/Publication: 2018-08-27 09:24:26 UTC

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New package eDMA with initial version 1.5-3
Package: eDMA
Type: Package
Title: Dynamic Model Averaging with Grid Search
Version: 1.5-3
Author: Leopoldo Catania [aut,cre], Nima Nonejad [aut]
Maintainer: Leopoldo Catania <leopoldo.catania@econ.au.dk>
Description: Perform dynamic model averaging with grid search as in Dangl and Halling (2012) <doi:10.1016/j.jfineco.2012.04.003> using parallel computing.
SystemRequirements: Requires the OpenMP library for parallel computing. If the OpenMP library is not available, the code is executed sequentially and a warning is printed.
License: GPL (>= 2)
LazyData: TRUE
Imports: Rcpp (>= 0.12.5)
LinkingTo: Rcpp,RcppArmadillo
Depends: zoo,xts,methods,parallel
NeedsCompilation: yes
Packaged: 2018-08-27 08:41:46 UTC; Leopoldo
Repository: CRAN
Date/Publication: 2018-08-27 09:54:27 UTC

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Package CalibratR updated to version 0.1.1 with previous version 0.1.0 dated 2018-08-11

Title: Mapping ML Scores to Calibrated Predictions
Description: Transforms your uncalibrated Machine Learning scores to well-calibrated prediction estimates that can be interpreted as probability estimates. The implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini (2015, ISBN:0-262-51129-0).
Author: Johanna Schwarz
Maintainer: Dominik Heider <heiderd@mathematik.uni-marburg.de>

Diff between CalibratR versions 0.1.0 dated 2018-08-11 and 0.1.1 dated 2018-08-27

 DESCRIPTION |   10 +++++-----
 MD5         |    2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

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Package R.utils updated to version 2.7.0 with previous version 2.6.0 dated 2017-11-05

Title: Various Programming Utilities
Description: Utility functions useful when programming and developing R packages.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.utils versions 2.6.0 dated 2017-11-05 and 2.7.0 dated 2018-08-27

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Package CMatching updated to version 2.2 with previous version 2.1 dated 2018-07-02

Title: Matching Algorithms for Causal Inference with Clustered Data
Description: Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.
Author: Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb]
Maintainer: Massimo Cannas <massimo.cannas@unica.it>

Diff between CMatching versions 2.1 dated 2018-07-02 and 2.2 dated 2018-08-27

 DESCRIPTION              |   15 +++++++++------
 MD5                      |    8 ++++----
 R/CMatch.R               |    2 +-
 build/partial.rdb        |binary
 man/CMatching-package.Rd |    4 ++--
 5 files changed, 16 insertions(+), 13 deletions(-)

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Package FLSSS (with last version 7.5) was removed from CRAN

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

2018-08-26 7.5
2016-12-14 5.2
2016-12-13 5.1
2016-04-20 5.0.1
2014-11-16 3.1
2014-10-22 3.0
2014-10-01 2.0.1
2014-09-29 2.0
2014-05-29 1.0

Permanent link
Package flextable updated to version 0.4.5 with previous version 0.4.4 dated 2018-04-19

Title: Functions for Tabular Reporting
Description: Create pretty tables for 'Microsoft Word', 'Microsoft PowerPoint' and 'HTML' documents. Functions are provided to let users create tables, modify and format their content. It extends package 'officer' that does not contain any feature for customized tabular reporting and can be used within R markdown documents when rendering to HTML and to 'Microsoft Word' documents.
Author: David Gohel [aut, cre], Maxim Nazarov [ctb] (rmarkdown for docx output)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.4.4 dated 2018-04-19 and 0.4.5 dated 2018-08-27

 DESCRIPTION                     |   13 ++++-----
 MD5                             |   52 +++++++++++++++++++------------------
 NAMESPACE                       |    4 ++
 NEWS                            |   11 +++++++
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 README.md                       |   17 ++++++++++++
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Package madness updated to version 0.2.4 with previous version 0.2.3 dated 2018-02-15

Title: Automatic Differentiation of Multivariate Operations
Description: An object that supports automatic differentiation of matrix- and multidimensional-valued functions with respect to multidimensional independent variables. Automatic differentiation is via 'forward accumulation'.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between madness versions 0.2.3 dated 2018-02-15 and 0.2.4 dated 2018-08-27

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 madness-0.2.4/madness/R/AllClass.r                           |    1 
 madness-0.2.4/madness/R/Ops.r                                |  100 ++++
 madness-0.2.4/madness/R/bind.r                               |   12 
 madness-0.2.4/madness/R/data.r                               |only
 madness-0.2.4/madness/R/madness_pkg.r                        |   10 
 madness-0.2.4/madness/R/reshape.r                            |    4 
 madness-0.2.4/madness/README.md                              |  121 ++----
 madness-0.2.4/madness/build/vignette.rds                     |binary
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 madness-0.2.4/madness/inst/doc/introducing_madness.Rnw       |only
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 madness-0.2.4/madness/man/NEWS.Rd                            |   11 
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 madness-0.2.4/madness/man/madness-class.Rd                   |    1 
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 madness-0.2.4/madness/man/wff3.Rd                            |only
 madness-0.2.4/madness/tests/testthat.R                       |only
 madness-0.2.4/madness/tests/testthat/test-basic.r            |  221 ++++++-----
 madness-0.2.4/madness/tests/testthat/test-correctness.r      |   89 +---
 madness-0.2.4/madness/vignettes/common.bib                   |only
 madness-0.2.4/madness/vignettes/introducing_madness.Rnw      |only
 31 files changed, 387 insertions(+), 254 deletions(-)

More information about madness at CRAN
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Package tidycensus updated to version 0.8.1 with previous version 0.4.6 dated 2018-04-15

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to the decennial US Census and American Community Survey APIs and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for many geographies.
Author: Kyle Walker [aut, cre], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle.walker@tcu.edu>

Diff between tidycensus versions 0.4.6 dated 2018-04-15 and 0.8.1 dated 2018-08-27

 DESCRIPTION            |   10 
 LICENSE                |    4 
 MD5                    |   60 +--
 NAMESPACE              |   70 +--
 R/acs.R                |  900 ++++++++++++++++++++++++-----------------------
 R/albers.R             |   21 +
 R/census.R             |  644 +++++++++++++++++----------------
 R/estimates.R          |only
 R/fips_codes.R         |  110 ++---
 R/helpers.R            |  649 +++++++++++++++++-----------------
 R/load_data.R          |  930 +++++++++++++++++++++++++++++++------------------
 R/moe.R                |  225 +++++------
 R/search_variables.R   |  246 +++++++-----
 R/tidycensus-package.R |   42 +-
 R/utils.R              |  290 +++++++--------
 R/validate_call.R      |   40 +-
 R/zzz.r                |   87 ++--
 README.md              |  244 ++++++------
 data/datalist          |    6 
 man/census_api_key.Rd  |   82 ++--
 man/county_laea.Rd     |   44 +-
 man/fips_codes.Rd      |   58 +--
 man/get_acs.Rd         |  218 +++++------
 man/get_decennial.Rd   |  182 ++++-----
 man/get_estimates.Rd   |only
 man/load_variables.Rd  |   60 +--
 man/moe_product.Rd     |   46 +-
 man/moe_prop.Rd        |   46 +-
 man/moe_ratio.Rd       |   46 +-
 man/moe_sum.Rd         |   46 +-
 man/state_laea.Rd      |   44 +-
 man/tidycensus.Rd      |   26 -
 32 files changed, 2929 insertions(+), 2547 deletions(-)

More information about tidycensus at CRAN
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Package languageserver updated to version 0.2.4 with previous version 0.2.3 dated 2018-06-16

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol> for details.
Author: Randy Lai
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

Diff between languageserver versions 0.2.3 dated 2018-06-16 and 0.2.4 dated 2018-08-27

 DESCRIPTION               |   14 ++---
 MD5                       |   28 +++++-----
 R/completion.R            |   13 +++-
 R/diagnostics.R           |   15 ++---
 R/document.R              |   18 ++++++
 R/handlers-general.R      |   18 ++++++
 R/handlers-langfeatures.R |    2 
 R/handlers-textsync.R     |   15 ++++-
 R/handlers-workspace.R    |    2 
 R/hover.R                 |    2 
 R/signature.R             |    2 
 R/utils.R                 |    9 +++
 R/workspace.R             |  120 +++++++++++++++++++++++++++++++++-------------
 README.md                 |    2 
 man/workspace_sync.Rd     |   12 ++--
 15 files changed, 188 insertions(+), 84 deletions(-)

More information about languageserver at CRAN
Permanent link


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