Tue, 03 Oct 2017

Package splot updated to version 0.3.1 with previous version 0.3.0 dated 2017-09-07

Title: Split Plot
Description: Automates common plotting tasks to ease data exploration. Makes density plots (potentially overlaid on histograms), scatter plots with prediction lines, or bar or line plots with error bars. For each type, y, or x and y variables can be plotted at levels of other variables, all with minimal specification.
Author: Micah Iserman
Maintainer: Micah Iserman <micah.iserman@ttu.edu>

Diff between splot versions 0.3.0 dated 2017-09-07 and 0.3.1 dated 2017-10-03

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Package generalCorr updated to version 1.0.9 with previous version 1.0.8 dated 2017-09-11

Title: Generalized Correlations and Initial Causal Path
Description: Since causal paths from data are important for all sciences, the package provides sophisticated functions. The idea is simply that if X causes Y (path: X to Y) then non-deterministic variation in X is more "original or independent" than similar variation in Y. We compare two flipped kernel regressions: X=f(Y, Z) and Y=g(X,Z), where Z are control variables. Our first two criteria compare absolute gradients (Cr1) and absolute residuals (Cr2), both quantified by stochastic dominance of four orders (SD1 to SD4). Our third criterion (Cr3) expects X to be better able to predict Y than the other way around using generalized partial correlation If |r*(x|y)|> |r*(y|x)| it suggests that y is more likely the "kernel cause" of x. The usual partial correlations are generalized for the asymmetric matrix of r*'s developed here. Partial correlations help asses effect of x on y after removing the effect of a set of variables. The package provides additional tools for causal assessment, for printing the causal directions in a clear, comprehensive compact summary form, for matrix algebra, for "outlier detection", and for numerical integration by the trapezoidal rule, stochastic dominance, etc. The package has functions for bootstrap-based statistical inference and one for a heuristic t-test.
Author: Prof. H. D. Vinod, Fordham University, NY.
Maintainer: H. D. Vinod <vinod@fordham.edu>

Diff between generalCorr versions 1.0.8 dated 2017-09-11 and 1.0.9 dated 2017-10-03

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Package Wmisc updated to version 0.3.3 with previous version 0.3.2 dated 2017-02-10

Title: Wamser Misc: Reading Files by Tokens, Stateful Computations, Utility Functions
Description: A tokenizer to read a text file token by token with a very lightweight API, a framework for stateful computations with finite state machines and a few string utility functions.
Author: Markus S. Wamser [aut, cre]
Maintainer: Markus S. Wamser <r-wmisc@devel.wamser.eu>

Diff between Wmisc versions 0.3.2 dated 2017-02-10 and 0.3.3 dated 2017-10-03

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Package InvariantCausalPrediction updated to version 0.7-1 with previous version 0.6-1 dated 2016-05-03

Title: Invariant Causal Prediction
Description: Confidence intervals for causal effects, using data collected in different experimental or environmental conditions. Hidden variables can be included in the model with a more experimental version.
Author: Nicolai Meinshausen [aut, cre], Dominik Rothenhaeusler [aut]
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>

Diff between InvariantCausalPrediction versions 0.6-1 dated 2016-05-03 and 0.7-1 dated 2017-10-03

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Package transport updated to version 0.9-4 with previous version 0.9-3 dated 2017-09-29

Title: Optimal Transport in Various Forms
Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Author: Dominic Schuhmacher [aut, cre], Björn Bähre [aut] (aha and power diagrams), Carsten Gottschlich [aut] (simplex and shortlist), Florian Heinemann [aut] (transport_track), Bernhard Schmitzer [aut] (shielding), Timo Wilm [ctb] (wpp)
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

Diff between transport versions 0.9-3 dated 2017-09-29 and 0.9-4 dated 2017-10-03

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Package spaMM updated to version 2.2.0 with previous version 2.1.6 dated 2017-07-08

Title: Mixed-Effect Models, Particularly Spatial Models
Description: Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Variation in residual variance is handled and can be modelled as a linear model. Various approximations of likelihood or restricted likelihood are implement, in particular h-likelihood and Laplace approximation.
Author: François Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut], GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

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Package RProtoBuf updated to version 0.4.11 with previous version 0.4.10 dated 2017-08-13

Title: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal 'RPC' protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our 'JSS' paper (2016, <doi:10.18637/jss.v071.i02>. Either version 2 or 3 of the 'Protocol Buffers' 'API' is supported.
Author: Romain Francois, Dirk Eddelbuettel, Murray Stokely and Jeroen Ooms
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package ecd updated to version 0.9.1 with previous version 0.8.3 dated 2017-01-06

Title: Elliptic Lambda Distribution and Option Pricing Model
Description: Elliptic lambda distribution and lambda option pricing model have been evolved into a framework of stable-law inspired distributions, such as the extended stable lambda distribution for asset return, stable count distribution for volatility, and Lihn-Laplace process as a leptokurtic extension of Wiener process. This package contains functions for the computation of density, probability, quantile, random variable, fitting procedures, option prices, volatility smile. It also comes with sample financial data, and plotting routines.
Author: Stephen H-T. Lihn [aut, cre]
Maintainer: Stephen H-T. Lihn <stevelihn@gmail.com>

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New package tidyboot with initial version 0.1.0
Package: tidyboot
Type: Package
Title: Tidyverse-Compatible Bootstrapping
Version: 0.1.0
Authors@R: c( person("Mika", "Braginsky", email = "mika.br@gmail.com", role = c("aut", "cre")), person("Daniel", "Yurovsky", email = "dyurovsky@gmail.com", role = c("aut")) )
Description: Compute arbitrary non-parametric bootstrap statistics on data in tidy data frames.
Depends: R (>= 3.4.1)
License: GPL-3
URL: https://github.com/langcog/tidyboot
BugReports: http://github.com/langcog/tidyboot/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: dplyr (>= 0.7.4), modelr (>= 0.1.1), purrr (>= 0.2.3), rlang (>= 0.1.2), tidyr (>= 0.7.1)
NeedsCompilation: no
Packaged: 2017-10-03 14:59:11 UTC; mikabr
Author: Mika Braginsky [aut, cre], Daniel Yurovsky [aut]
Maintainer: Mika Braginsky <mika.br@gmail.com>
Repository: CRAN
Date/Publication: 2017-10-03 15:28:08 UTC

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Package simstudy updated to version 0.1.5 with previous version 0.1.4 dated 2017-09-20

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

Diff between simstudy versions 0.1.4 dated 2017-09-20 and 0.1.5 dated 2017-10-03

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New package fedreporter with initial version 0.2.1
Package: fedreporter
Version: 0.2.1
Title: Interface to Federal 'RePORTER' API
Description: Downloads data from Federal 'RePORTER' <https://api.federalreporter.nih.gov/> using the Federal 'RePORTER' API. Allows the user to search job projects from different government agencies.
Authors@R: person(given = "John", family = "Muschelli", role = c("aut", "cre"), email = "muschellij2@gmail.com")
License: GPL-3
Imports: httr, jsonlite
Suggests: knitr, rmarkdown, covr, testthat
Encoding: UTF-8
LazyData: true
ByteCompile: true
Type: Package
Maintainer: John Muschelli <muschellij2@gmail.com>
URL: https://github.com/muschellij2/fedreporter
BugReports: https://github.com/muschellij2/fedreporter/issues
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2017-10-03 14:13:32 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Repository: CRAN
Date/Publication: 2017-10-03 14:52:56 UTC

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Package editData updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-24

Title: 'RStudio' Addin for Editing a 'data.frame'
Description: An 'RStudio' addin for editing a 'data.frame' or a 'tibble'. You can delete, add or update a 'data.frame' without coding. You can get resultant data as a 'data.frame'. In the package, modularized shiny app codes are provided. These module are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between editData versions 0.1.0 dated 2017-09-24 and 0.1.1 dated 2017-10-03

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New package xwf with initial version 0.1-1
Package: xwf
Version: 0.1-1
Date: 2017-09-29
Title: Extrema-Weighted Feature Extraction
Authors@R: person("Willem", "van den Boom", role = c("aut", "cre"), email = "willem@wvdboom.nl")
Author: Willem van den Boom [aut, cre]
Maintainer: Willem van den Boom <willem@wvdboom.nl>
Description: Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in Van den Boom et al. (2017) <arXiv:1709.10467>.
License: MIT + file LICENSE
Imports: mgcv
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-10-02 12:50:24 UTC; Willem
Repository: CRAN
Date/Publication: 2017-10-03 13:23:22 UTC

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New package rENA with initial version 0.1.0
Package: rENA
Title: Epistemic Network Analysis
Type: Package
Author: Cody L Marquart [aut, cre], Zachari Swiecki [aut], Wesley Collier [aut], Brendan Eagan [aut], Roman Woodward [aut], David Williamson Shaffer [aut]
Authors@R: c(person("Cody L","Marquart", role = c("aut", "cre"), email="cody.marquart@wisc.edu"),person("Zachari","Swiecki", role = c("aut"), email="swiecki@wisc.edu"),person("Wesley","Collier", role = c("aut"), email="wcollier@wisc.edu"),person("Brendan","Eagan", role = c("aut"), email="beagan@wisc.edu"),person("Roman", "Woodward", role = c("aut"), email="rwoodward3@wisc.edu"),person("David", "Williamson Shaffer", role = c("aut"), email = "dws@education.wisc.edu"))
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>
Version: 0.1.0
Description: ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016) <doi:10.18608/jla.2016.33.3>.
LazyData: TRUE
Depends: R (>= 3.0.0)
License: GPL-3 | file LICENSE
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, RcppEigen
Imports: data.table, Rcpp, R6, methods, foreach, stats, plotly, doParallel, parallel, RcppRoll, data.tree, scales, magrittr
Suggests: microbenchmark, testthat
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-10-02 12:58:03 UTC; clmarquart
Repository: CRAN
Date/Publication: 2017-10-03 13:47:10 UTC

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Package forestinventory updated to version 0.3.0 with previous version 0.2.0 dated 2017-05-21

Title: Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories
Description: Extensive global and small-area estimation procedures for multiphase forest inventories under the design-based Monte-Carlo approach are provided. The implementation includes estimators for simple and cluster sampling published by Daniel Mandallaz in 2007 (<DOI:10.1201/9781584889779>), 2013 (<DOI:10.1139/cjfr-2012-0381>, <DOI:10.1139/cjfr-2013-0181>, <DOI:10.1139/cjfr-2013-0449>, <DOI:10.3929/ethz-a-009990020>) and 2016 (<DOI:10.3929/ethz-a-010579388>). It provides point estimates, their external- and design-based variances as well as confidence intervals. The procedures have also been optimized for the use of remote sensing data as auxiliary information.
Author: Andreas Hill [aut, cre], Alexander Massey [aut], Daniel Mandallaz [ctb]
Maintainer: Andreas Hill <andreas.hill@usys.ethz.ch>

Diff between forestinventory versions 0.2.0 dated 2017-05-21 and 0.3.0 dated 2017-10-03

 DESCRIPTION                        |   10 -
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 NAMESPACE                          |    6 
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New package corpustools with initial version 0.3
Package: corpustools
Version: 0.3
Date: 2017-09-10
Title: Managing, Querying and Analyzing Tokenized Text
Description: Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations). Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences), similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages, and the possibility to reconstruct original text from tokens to facilitate interpretation.
Author: Kasper Welbers and Wouter van Atteveldt
Maintainer: Kasper Welbers <kasperwelbers@gmail.com>
Depends: R (>= 3.2.0), Matrix (>= 1.2), data.table (>= 1.10.4)
Imports: memoise, methods, plyr, wordcloud (>= 2.5), SnowballC, stringi, Rcpp (>= 0.12.12), R6
Suggests: testthat, quanteda (>= 0.99.9), tm (>= 0.6), topicmodels, RNewsflow, igraph
LinkingTo: Rcpp
LazyData: true
Encoding: UTF-8
SystemRequirements: C++11
License: GPL-3
URL: http://github.com/kasperwelbers/corpustools
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-10-02 13:54:53 UTC; kasper
Repository: CRAN
Date/Publication: 2017-10-03 13:55:00 UTC

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Package confinterpret updated to version 1.0.0 with previous version 0.2.0 dated 2017-05-11

Title: Descriptive Interpretations of Confidence Intervals
Description: Produces descriptive interpretations of confidence intervals. Includes (extensible) support for various test types, specified as sets of interpretations dependent on where the lower and upper confidence limits sit. Provides plotting functions for graphical display of interpretations.
Author: Jim Vine [aut, cre]
Maintainer: Jim Vine <code@jimvine.co.uk>

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Package sylly updated to version 0.1-3 with previous version 0.1-2 dated 2017-09-12

Title: Hyphenation and Syllable Counting for Text Analysis
Description: Provides the hyphenation algorithm used for 'TeX'/'LaTeX' and similar software, as proposed by Liang (1983, <https://tug.org/docs/liang/>). Mainly contains the function hyphen() to be used for hyphenation/syllable counting of text objects. It was originally developed for and part of the 'koRpus' package, but later released as a separate package so it's lighter to have this particular functionality available for other packages. Support for various languages needs be added on-the-fly or by plugin packages (<https://undocumeantit.github.io/repos>); this package does not include any language specific data. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

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Package ordinalNet updated to version 2.3 with previous version 2.2 dated 2017-08-22

Title: Penalized Ordinal Regression
Description: Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net penalty shrinks it toward the parallel model. For details, refer to Wurm, Hanlon, and Rathouz (2017) <arXiv:1706.05003>.
Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Maintainer: Michael Wurm <wurm@wisc.edu>

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Package Knoema updated to version 0.1.9 with previous version 0.1.7 dated 2017-08-22

Title: Interface to the Knoema API
Description: Using this package, users can access to the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources collected in 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
Author: Pavel Pimenov [aut, cre], Ekaterina Chirkova [aut], Knoema [cph]
Maintainer: Pavel Pimenov <pimenov@knoema.com>

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Package RDocumentation (with last version 0.8.1) was removed from CRAN

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

2017-10-02 0.8.1

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Package APML0 updated to version 0.5 with previous version 0.4 dated 2017-09-18

Title: Augmented and Penalized Minimization Method L0
Description: Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves L0 penalty problem by simultaneously selecting regularization parameters and the number of non-zero coefficients. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization problem. The package uses one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It could deal with very high dimensional data and has superior selection performance.
Author: Xiang Li, Shanghong Xie, Donglin Zeng and Yuanjia Wang
Maintainer: Xiang Li <xli256@its.jnj.com>

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Package psychmeta updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-21

Title: Psychometric Meta-Analysis Toolkit
Description: Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.
Author: Jeffrey A. Dahlke [aut, cre], Brenton M. Wiernik [aut], Michael T. Brannick [ctb], Jack Kostal [ctb], Sean Potter [ctb], Yuejia (Mandy) Teng [ctb]
Maintainer: Jeffrey A. Dahlke <dahlk068@umn.edu>

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