Wed, 04 Sep 2019

Package stochQN updated to version 0.1.2 with previous version 0.1.0 dated 2019-08-29

Title: Stochastic Limited Memory Quasi-Newton Optimizers
Description: Implementations of stochastic, limited-memory quasi-Newton optimizers, similar in spirit to the LBFGS (Limited-memory Broyden-Fletcher-Goldfarb-Shanno) algorithm, for smooth stochastic optimization. Implements the following methods: oLBFGS (online LBFGS) (Schraudolph, N.N., Yu, J. and Guenter, S., 2007 <http://proceedings.mlr.press/v2/schraudolph07a.html>), SQN (stochastic quasi-Newton) (Byrd, R.H., Hansen, S.L., Nocedal, J. and Singer, Y., 2016 <arXiv:1401.7020>), adaQN (adaptive quasi-Newton) (Keskar, N.S., Berahas, A.S., 2016, <arXiv:1511.01169>). Provides functions for easily creating R objects with partial_fit/predict methods from some given objective/gradient/predict functions. Includes an example stochastic logistic regression using these optimizers. Provides header files and registered C routines for using it directly from C/C++.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

Diff between stochQN versions 0.1.0 dated 2019-08-29 and 0.1.2 dated 2019-09-04

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Package RMixtComp updated to version 4.0.1 with previous version 4.0.0 dated 2019-08-28

Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes 8 models for real, categorical, counting, functional and ranking data.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Serge Iovleff [ctb]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

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Package revealedPrefs updated to version 0.4.1 with previous version 0.4 dated 2018-10-10

Title: Revealed Preferences and Microeconomic Rationality
Description: Computation of (direct and indirect) revealed preferences, fast non-parametric tests of rationality axioms (WARP, SARP, GARP), simulation of axiom-consistent data, and detection of axiom-consistent subpopulations. Rationality tests follow Varian (1982) <doi:10.2307/1912771>, axiom-consistent subpopulations follow Crawford and Pendakur (2012) <doi:10.1111/j.1468-0297.2012.02545.x>.
Author: Julien Boelaert <jubo.stats@gmail.com>
Maintainer: Julien Boelaert <jubo.stats@gmail.com>

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Package queryparser updated to version 0.1.1 with previous version 0.1.0 dated 2019-09-03

Title: Translate 'SQL' Queries into 'R' Expressions
Description: Translate 'SQL' 'SELECT' statements into lists of 'R' expressions.
Author: Ian Cook [aut, cre], Cloudera [cph]
Maintainer: Ian Cook <ian@cloudera.com>

Diff between queryparser versions 0.1.0 dated 2019-09-03 and 0.1.1 dated 2019-09-04

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Package poismf updated to version 0.1.3 with previous version 0.1.2 dated 2019-08-29

Title: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description: Creates a low-rank factorization of a sparse counts matrix by maximizing Poisson likelihood with l1/l2 regularization with all non-negative latent factors (e.g. for recommender systems or topic modeling) (Cortes, David, 2018, <arXiv:1811.01908>). Similar to hierarchical Poisson factorization, but follows an optimization-based approach with regularization instead of a hierarchical structure, and is fit through either proximal gradient or conjugate gradient instead of variational inference.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package Phase12Compare updated to version 1.1 with previous version 1.0 dated 2019-08-30

Title: Simulates SPSO and Efftox Phase 12 Trials with Correlated Outcomes
Description: Simulating and conducting four phase 12 clinical trials with correlated binary bivariate outcomes described. Uses the 'Efftox' (efficacy and toxicity tradeoff, <https://biostatistics.mdanderson.org/SoftwareDownload/SingleSoftware/Index/2>) and SPSO (Semi-Parametric Stochastic Ordering) models with Utility and Desirability based objective functions for dose finding.
Author: Andrew G Chapple
Maintainer: Andrew G Chapple <achapp@lsuhsc.edu>

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Package modelStudio updated to version 0.1.7 with previous version 0.1.6 dated 2019-09-03

Title: Interactive Studio with Explanations for ML Predictive Models
Description: Automate explanation of machine learning predictive models. This package generates advanced interactive and animated model explanations in the form of serverless HTML site. It combines 'R' with 'D3.js' to produce plots and descriptions for local and global explanations. The whole is greater than the sum of its parts, so it also supports EDA (Exploratory Data Analysis) on top of that. 'modelStudio' is a fast and condensed way to get all the answers without much effort. Break down your model and look into its ingredients with only a few lines of code.
Author: Hubert Baniecki [aut, cre], Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>)
Maintainer: Hubert Baniecki <hbaniecki@gmail.com>

Diff between modelStudio versions 0.1.6 dated 2019-09-03 and 0.1.7 dated 2019-09-04

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Package mixedClust updated to version 1.0.1 with previous version 1.0.0 dated 2019-09-04

Title: Co-Clustering of Mixed Type Data
Description: Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) <https://hal.archives-ouvertes.fr/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse@gmail.com>

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Package jstor updated to version 0.3.7 with previous version 0.3.6 dated 2018-12-12

Title: Read Data from JSTOR/DfR
Description: Functions and helpers to import metadata, ngrams and full-texts delivered by Data for Research by JSTOR.
Author: Thomas Klebel [aut, cre] (<https://orcid.org/0000-0002-7331-4751>)
Maintainer: Thomas Klebel <t.klebel@hotmail.com>

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Package glm.predict updated to version 3.1-0 with previous version 3.0-1 dated 2018-05-06

Title: Predicted Values and Discrete Changes for GLM
Description: Functions to calculate predicted values and the difference between the two cases with confidence interval for lm() [linear model], glm() [general linear model], glm.nb() [negative binomial model], polr() [ordinal logistic model] and multinom() [multinomial model] using Monte Carlo simulations. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.
Author: Benjamin Schlegel [aut,cre]
Maintainer: Benjamin Schlegel <kontakt@benjaminschlegel.ch>

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Package ggmuller updated to version 0.5.4 with previous version 0.5.3 dated 2019-01-15

Title: Create Muller Plots of Evolutionary Dynamics
Description: Create plots that combine a phylogeny and frequency dynamics. Phylogenetic input can be a generic adjacency matrix or a tree of class "phylo". Inspired by similar plots in publications of the labs of RE Lenski and JE Barrick. Named for HJ Muller (who popularised such plots) and H Wickham (whose code this package exploits).
Author: Robert Noble [aut, cre] (<https://orcid.org/0000-0002-8057-4252>)
Maintainer: Robert Noble <robjohnnoble@gmail.com>

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Package GSODR updated to version 2.0.0 with previous version 1.3.2 dated 2019-01-18

Title: Global Surface Summary of the Day ('GSOD') Weather Data Client
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'). 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 metadata include station identification information, country, state, latitude, longitude, elevation, weather observations and associated flags. 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>), Gwenael Giboire [ctb] (Several bug reports in early versions and testing feedback), Łukasz Pawlik [ctb] (Reported bug in windspeed conversion calculation), Ross Darnell [ctb] (Reported bug in 'Windows OS' versions causing 'GSOD' data untarring to fail)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

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Package ggraptR updated to version 1.2 with previous version 1.1 dated 2018-07-02

Title: Allows Interactive Visualization of Data Through a Web Browser GUI
Description: Intended for both technical and non-technical users to create interactive data visualizations through a web browser GUI without writing any code.
Author: Eugene Dubossarsky [aut, cph, cre], Julius Neggo [ctb] (Lead Developer), Howard Song [aut] (Developer), Susan Wang [ctb] (Project Manager), Jason Widjaja [ctb] (Vignette), Jose Magana [ctb] (Package Manager and Developer), Sergey Skripko [ctb] (Developer)
Maintainer: Eugene Dubossarsky <eugene@presciient.com>

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Package osqp updated to version 0.6.0 with previous version 0.5.0 dated 2018-12-11

Title: Quadratic Programming Solver using the 'OSQP' Library
Description: Provides bindings to the 'OSQP' solver. The 'OSQP' solver is a numerical optimization package or solving convex quadratic programs written in 'C' and based on the alternating direction method of multipliers, 'ADMM'. B. Stellato, G. Banjac, P. Goulart, A. Bemporad, S. Boyd (2018) <arXiv:1711.08013>.
Author: Bartolomeo Stellato [cre, aut, ctb, cph], Goran Banjac [aut, ctb, cph], Paul Goulart [aut, ctb, cph], Stephen Boyd [aut, ctb, cph], Eric Anderson [ctb]
Maintainer: Bartolomeo Stellato <bartolomeo.stellato@gmail.com>

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Package log4r updated to version 0.3.1 with previous version 0.3.0 dated 2019-06-21

Title: A Simple Logging System for R, Based on 'log4j'
Description: The log4r package is meant to provide a fast, lightweight, object-oriented approach to logging in R based on the widely-emulated 'log4j' system and etymology.
Author: John Myles White [aut, cph], Kenton White [ctb], Kirill Müller [ctb], Aaron Jacobs [aut, cre]
Maintainer: Aaron Jacobs <atheriel@gmail.com>

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Package jaod updated to version 0.2.0 with previous version 0.1.0 dated 2017-09-01

Title: Directory of Open Access Journals Client
Description: Client for the Directory of Open Access Journals ('DOAJ') (<https://doaj.org/>). API documentation at <https://doaj.org/api/v1/docs>. Methods included for working with all 'DOAJ' API routes: fetch article information by identifier, search for articles, fetch journal information by identifier, and search for journals.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus+r@gmail.com>

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Package EMbC updated to version 2.0.2 with previous version 2.0.1 dated 2018-05-07

Title: Expectation-Maximization Binary Clustering
Description: Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").
Author: Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus
Maintainer: Joan Garriga <jgarriga@ceab.csic.es>

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Package StratifiedMedicine updated to version 0.1.3 with previous version 0.1.2 dated 2019-08-19

Title: Stratified Medicine
Description: A toolkit for stratified medicine, subgroup identification, and precision medicine. Current tools include (1) filtering models (reduce covariate space), (2) patient-level estimate models (counterfactual patient-level quantities, for example the individual treatment effect), (3) subgroup identification models (find subsets of patients with similar treatment effects), and (4) parameter estimation and inference (for the overall population and discovered subgroups). These tools can directly feed into stratified medicine algorithms including PRISM (patient response identifiers for stratified medicine; Jemielita and Mehrotra 2019 (in progress)). PRISM is a flexible and general framework which accepts user-created models/functions. This package is in beta and will be continually updated.
Author: Thomas Jemielita [aut, cre]
Maintainer: Thomas Jemielita <thomasjemielita@gmail.com>

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 StratifiedMedicine-0.1.3/StratifiedMedicine/man/PRISM_resamp.Rd              |    3 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/PRISM_train.Rd               |    3 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/figures/README-example-3.png |binary
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/figures/README-example-4.png |binary
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/submod_ctree.Rd              |    2 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/submod_lmtree.Rd             |    4 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/submod_otr.Rd                |    2 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/submod_rpart.Rd              |    2 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/submod_weibull.Rd            |    2 
 StratifiedMedicine-0.1.3/StratifiedMedicine/man/summary.PRISM.Rd             |only
 StratifiedMedicine-0.1.3/StratifiedMedicine/vignettes/SM_PRISM.Rmd           |    7 
 39 files changed, 622 insertions(+), 378 deletions(-)

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New package hmmhdd with initial version 1.0
Package: hmmhdd
Type: Package
Title: Hidden Markov Models for High Dimensional Data
Version: 1.0
Authors@R: c( person("Andrea", "Martino", role = c("aut", "cre"), email = "andrea.martino@polimi.it"), person("Giuseppina", "Guatteri", role = "aut", email = "giuseppina.guatteri@polimi.it" ), person("Anna Maria", "Paganoni", role = "aut", email = "anna.paganoni@polimi.it" ) )
Author: Andrea Martino [aut, cre], Giuseppina Guatteri [aut], Anna Maria Paganoni [aut]
Maintainer: Andrea Martino <andrea.martino@polimi.it>
Description: Some algorithms for the study of Hidden Markov Models for two different types of data. For the study of univariate and multivariate data in a finite framework, we provide some methods based on the definition of a Gaussian copula function to define the dependence between data (for further details, see Martino A., Guatteri, G. and Paganoni A. M. (2018) <https://mox.polimi.it/publication-results/?id=776&tipo=add_qmox>). For the study of functional data, we define an objective function based on distances between random curves to define the emission functions of the HMM (for further details, see Martino A., Guatteri, G. and Paganoni A. M. (2019) <https://mox.polimi.it/publication-results/?id=805&tipo=add_qmox>).
Depends: R (>= 3.6.0)
License: GPL-3
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.1
Imports: graphics, stats, gmfd, mvtnorm, roahd
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2019-09-03 18:07:56 UTC; Andrea
Repository: CRAN
Date/Publication: 2019-09-04 14:20:02 UTC

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New package SynthTools with initial version 1.0.0
Package: SynthTools
Title: Tools and Tests for Experiments with Partially Synthetic Data Sets
Version: 1.0.0
Authors@R: person(given = "Charlotte", family = "Looby", role = c("aut", "cre"), email = "clooby@rti.org")
Description: A set of functions to support experimentation in the utility of partially synthetic data sets. All functions compare an observed data set to one or a set of partially synthetic data sets derived from the observed data to (1) check that data sets have identical attributes, (2) calculate overall and specific variable perturbation rates, (3) check for potential logical inconsistencies, and (4) calculate confidence intervals and standard errors of desired variables in multiple imputed data sets. Confidence interval and standard error formulas have options for either synthetic data sets or multiple imputed data sets. For more information on the formulas and methods used, see Reiter & Raghunathan (2007) <doi:10.1198/016214507000000932>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1.9000
Depends: R (>= 2.10)
Imports: dplyr, magrittr, Rdpack, utils
Suggests: synthpop, testthat (>= 2.1.0), spelling
RdMacros: Rdpack
Language: en-US
NeedsCompilation: no
Packaged: 2019-09-03 18:47:50 UTC; clooby
Author: Charlotte Looby [aut, cre]
Maintainer: Charlotte Looby <clooby@rti.org>
Repository: CRAN
Date/Publication: 2019-09-04 13:40:08 UTC

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New package sclr with initial version 0.1.0
Package: sclr
Title: Scaled Logistic Regression
Version: 0.1.0
Authors@R: person(given = "Arseniy", family = "Khvorov", role = c("aut", "cre"), email = "khvorov45@gmail.com")
Description: Maximum likelihood estimation of the scaled logit model parameters proposed in Dunning (2006) <doi:10.1002/sim.2282>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.6.0)
Imports: broom, tibble, dplyr, rlang, stats
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-09-03 22:25:43 UTC; khvoroa
Author: Arseniy Khvorov [aut, cre]
Maintainer: Arseniy Khvorov <khvorov45@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-04 14:00:02 UTC

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New package rsf with initial version 0.1.0
Type: Package
Package: rsf
Title: Report of Statistical Findings in 'bookdown'
Version: 0.1.0
Authors@R: person(given = "Derek", family = "Chiu", role = c("aut", "cre"), email = "dchiu@bccrc.ca")
Description: A report of statistical findings (RSF) project template is generated using a 'bookdown' format. 'YAML' fields can be further customized. Additional helper functions provide extra features to the RSF.
License: MIT + file LICENSE
URL: https://github.com/dchiu911/rsf, https://dchiu911.github.io/rsf
BugReports: https://github.com/dchiu911/rsf/issues
Imports: bookdown, stringr, usethis, whoami, yaml
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-03 21:55:59 UTC; dchiu
Author: Derek Chiu [aut, cre]
Maintainer: Derek Chiu <dchiu@bccrc.ca>
Repository: CRAN
Date/Publication: 2019-09-04 14:00:05 UTC

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New package RKelly with initial version 1.0
Package: RKelly
Type: Package
Title: Translate Odds and Probabilities
Version: 1.0
Authors@R: person(given = "Arvid", family = "Kingl", role = c("aut", "cre"), email = "akingl2016@gmail.com")
Description: Calculates the Kelly criterion (Kelly, J.L. (1956) <doi:10.1002/j.1538-7305.1956.tb03809.x>) for bets given quoted prices, model predictions and commissions. Additionally it contains helper functions to calculate the probabilities for wins and draws in multi-leg games.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-09-03 21:42:09 UTC; arvid
Author: Arvid Kingl [aut, cre]
Maintainer: Arvid Kingl <akingl2016@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-04 13:50:02 UTC

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New package opart with initial version 2019.1.0
Package: opart
Type: Package
Title: Optimal Partitioning
Version: 2019.1.0
Author: Anuraag Srivastava
Maintainer: Anuraag Srivastava <srivastava.anurag.90@gmail.com>
Description: A reference implementation of standard optimal partitioning algorithm in C using square-error loss and Poisson loss functions as described by Robert Maidstone (2016) <doi:10.1007/s11222-016-9636-3>, Toby Hocking (2016) <doi:10.1007/s11222-016-9636-3>, Guillem Rigaill (2016) <doi:10.1007/s11222-016-9636-3>, Paul Fearnhead (2016) <doi:10.1007/s11222-016-9636-3>. It scales quadratically with number of data points in terms of time-complexity.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.5.0)
URL: https://github.com/as4378/opart
BugReports: https://github.com/as4378/opart/issues
Suggests: knitr, rmarkdown, testthat, dplyr, ggplot2, directlabels, data.table, covr, neuroblastoma, microbenchmark, changepoint, Segmentor3IsBack, fpop
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-09-03 20:10:02 UTC; AnuraagUS
Repository: CRAN
Date/Publication: 2019-09-04 13:40:02 UTC

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New package bbl with initial version 0.1.5
Package: bbl
Title: Boltzmann Bayes Learner
Version: 0.1.5
Authors@R: c(person("Jun","Woo",role=c("aut","cre"), email="jwoo@umn.edu", comment=c(ORCID="0000-0003-3220-2064")), person("Jinhua","Wang", role=c("ctb")))
Maintainer: Jun Woo <jwoo@umn.edu>
Depends: R (>= 3.6.0)
Imports: methods, stats, utils, Rcpp (>= 0.12.16), pROC
Description: Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood and mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.
License: GPL (>= 2)
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-09-03 19:47:05 UTC; jwoo
Author: Jun Woo [aut, cre] (<https://orcid.org/0000-0003-3220-2064>), Jinhua Wang [ctb]
Repository: CRAN
Date/Publication: 2019-09-04 13:40:05 UTC

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Package PLMIX updated to version 2.1.1 with previous version 2.1.0 dated 2019-08-03

Title: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings
Description: Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi.org/10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi/10.1002/sim.6224>.
Author: Cristina Mollica [aut, cre], Luca Tardella [aut]
Maintainer: Cristina Mollica <cristina.mollica@uniroma1.it>

Diff between PLMIX versions 2.1.0 dated 2019-08-03 and 2.1.1 dated 2019-09-04

 DESCRIPTION                |    8 +++---
 MD5                        |   54 +++++++++++++++++++++++----------------------
 NEWS                       |   10 +++++++-
 R/PLMIXfunctions.R         |   38 +++++++++++--------------------
 data/d_gaming.RData        |only
 man/PLMIX-package.Rd       |   24 ++++++++++----------
 man/as.top_ordering.Rd     |   10 ++++----
 man/d_apa.Rd               |    2 -
 man/d_carconf.Rd           |    2 -
 man/d_dublinwest.Rd        |    2 -
 man/d_gaming.Rd            |only
 man/d_german.Rd            |    2 -
 man/d_nascar.Rd            |    2 -
 man/d_occup.Rd             |    2 -
 man/d_rice.Rd              |    2 -
 man/freq_to_unit.Rd        |    2 -
 man/is.top_ordering.Rd     |    8 +++---
 man/label_switchPLMIX.Rd   |    1 
 man/loglikelihood.Rd       |    2 -
 man/make_complete.Rd       |    2 -
 man/make_partial.Rd        |    2 -
 man/mapPLMIX.Rd            |    1 
 man/mapPLMIX_multistart.Rd |    1 
 man/paired_comparisons.Rd  |    2 -
 man/ppcheckPLMIX.Rd        |    1 
 man/ppcheckPLMIX_cond.Rd   |    1 
 man/rank_ord_switch.Rd     |    2 -
 man/rank_summaries.Rd      |    2 -
 man/selectPLMIX.Rd         |    1 
 29 files changed, 89 insertions(+), 97 deletions(-)

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New package tashu with initial version 0.1.0
Package: tashu
Type: Package
Title: Analysis and Prediction of Bicycle Rental Amount
Version: 0.1.0
Authors@R: person("Jiwon", "Min", email = "miw5281@gmail.com", role = c("aut", "cre"))
Maintainer: Jiwon Min <miw5281@gmail.com>
Description: Provides functions for analyzing citizens' bicycle usage pattern and predicting rental amount on specific conditions. Functions on this package interacts with data on 'tashudata' package, a 'drat' repository. 'tashudata' package contains rental/return history on public bicycle system('Tashu'), weather for 3 years and bicycle station information. To install this data package, see the instructions at <https://github.com/zeee1/Tashu_Rpackage>. top10_stations(), top10_paths() function visualizes image showing the most used top 10 stations and paths. daily_bike_rental() and monthly_bike_rental() shows daily, monthly amount of bicycle rental. create_train_dataset(), create_test_dataset() is data processing function for prediction. Bicycle rental history from 2013 to 2014 is used to create training dataset and that on 2015 is for test dataset. Users can make random-forest prediction model by using create_train_model() and predict amount of bicycle rental in 2015 by using predict_bike_rental().
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, lubridate, dplyr, randomForest, plyr, reshape2, RColorBrewer, drat
Suggests: knitr, rmarkdown, tashudata
Additional_repositories: https://zeee1.github.io/drat
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2019-09-03 13:40:05 UTC; miw52
Author: Jiwon Min [aut, cre]
Repository: CRAN
Date/Publication: 2019-09-04 09:30:02 UTC

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Package spc4sts updated to version 0.5.1 with previous version 0.4.2 dated 2019-02-25

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) generic modeling of stochastic textured surfaces. (2) local defect monitoring and diagnostics in stochastic textured surfaces, which was proposed by Bui and Apley (2018a) <doi:10.1080/00401706.2017.1302362>. (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) <doi:10.1080/00224065.2018.1507559>. (4) computation of dissimilarity matrix of stochastic textured surface images, which was proposed by Bui and Apley (2019b) <doi:10.1016/j.csda.2019.01.019>.
Author: Anh Tuan Bui [aut, cre] and Daniel W. Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

Diff between spc4sts versions 0.4.2 dated 2019-02-25 and 0.5.1 dated 2019-09-04

 DESCRIPTION            |   10 +++---
 MD5                    |   59 +++++++++++++++++++++-----------------
 NAMESPACE              |    6 +++
 R/bp.R                 |   10 ++----
 R/bp2.R                |   16 +++++-----
 R/climit.R             |   35 ++++++++++++++++------
 R/climit2.R            |   12 ++++++-
 R/disMat.R             |    3 +
 R/monitoringStat.R     |   76 +++++++++++++++++++++++++++++--------------------
 R/plot.climit.R        |only
 R/plot.surfacemodel.R  |only
 R/print.climit.R       |    4 +-
 R/print.surfacemodel.R |   27 +++++++++++------
 R/sarGen.R             |    1 
 R/sms.R                |   67 +++++++++++++++++++------------------------
 R/spaCov.R             |   73 ++++++++++++++++++++++-------------------------
 R/stationaryTest.R     |only
 R/surfacemodel.R       |   50 +++++++++++++++++++++++++-------
 R/twms.R               |only
 inst                   |only
 man/bp.Rd              |   19 ++++++------
 man/climit.Rd          |   34 +++++++++++++--------
 man/climit.object.Rd   |    4 +-
 man/dataPrep.Rd        |    2 -
 man/disMat.Rd          |    2 -
 man/mbChange.Rd        |    2 -
 man/monitoringStat.Rd  |    6 ++-
 man/plotcc.Rd          |    3 -
 man/sarGen.Rd          |    2 -
 man/showNb.Rd          |    2 -
 man/spc4sts-package.Rd |    4 +-
 man/stationaryTest.Rd  |only
 man/surfacemodel.Rd    |   55 +++++++++++++++++++++++------------
 man/twms.Rd            |only
 34 files changed, 342 insertions(+), 242 deletions(-)

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New package pins with initial version 0.1.2
Package: pins
Type: Package
Title: Pin, Discover and Share Resources
Version: 0.1.2
Authors@R: c( person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cre")), person(family = "RStudio", role = c("cph")) )
Maintainer: Javier Luraschi <javier@rstudio.com>
Description: Pin remote resources into a local cache to work offline, improve speed and avoid recomputing; discover and share resources in local folders, 'GitHub', 'Kaggle' or 'RStudio Connect'. Resources can be anything from 'CSV', 'JSON', or image files to arbitrary R objects.
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.2.0)
Imports: base64enc, httr, jsonlite, magrittr, openssl, withr, yaml, zip
Suggests: knitr, rmarkdown, R6, testthat
VignetteBuilder: knitr
URL: https://github.com/rstudio/pins
BugReports: https://github.com/rstudio/pins/issues
NeedsCompilation: no
Packaged: 2019-09-03 14:11:39 UTC; javierluraschi
Author: Javier Luraschi [aut, cre], RStudio [cph]
Repository: CRAN
Date/Publication: 2019-09-04 09:40:02 UTC

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New package mrbayes with initial version 0.1.0
Package: mrbayes
Type: Package
Title: Bayesian Summary Data Models for Mendelian Randomization Studies
Version: 0.1.0
Authors@R: c(person("Okezie", "Uche-Ikonne", email = "o.uche-ikonne@lancaster.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8461-8099")), person("Frank", "Dondelinger", email = "f.dondelinger@lancaster.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0003-1816-6300")), person("Tom", "Palmer", email = "tom.palmer@lancaster.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0003-4655-4511")))
Description: Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.
Depends: R (>= 3.5.0)
Imports: methods
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat, rjags (>= 4-9), tidyverse, knitr, ggplot2, ggmcmc, foreign, DescTools, bayesmeta, utils, kableExtra, roxygen2, bookdown
URL: https://github.com/okezie94/mrbayes
BugReports: https://github.com/okezie94/mrbayes/issues
RoxygenNote: 6.1.1
SystemRequirements: JAGS 4.x.y
NeedsCompilation: no
Packaged: 2019-09-03 13:34:56 UTC; ucheikon
Author: Okezie Uche-Ikonne [aut, cre] (<https://orcid.org/0000-0002-8461-8099>), Frank Dondelinger [aut] (<https://orcid.org/0000-0003-1816-6300>), Tom Palmer [aut] (<https://orcid.org/0000-0003-4655-4511>)
Maintainer: Okezie Uche-Ikonne <o.uche-ikonne@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2019-09-04 09:30:05 UTC

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New package LRQMM with initial version 1.0.0
Package: LRQMM
Type: Package
Title: Fitting Linear Quantile Regression Mixed Models
Version: 1.0.0
Author: Sayyed Reza Alavian
Maintainer: Sayyed Reza Alavian <s.rezaalavian@mail.um.ac.ir>
Description: Fit a quantile regression mixed model using a sparse implementation of the Frisch-Newton interior-point algorithm as described in Portnoy and Koenker (1977, Statistical Science) <https://www.jstor.org/stable/2246217>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
Imports: GeneticsPed, SparseM, MASS, quantreg, Matrix, MasterBayes, MCMCglmm
NeedsCompilation: no
Packaged: 2019-09-03 15:01:13 UTC; REZA
Repository: CRAN
Date/Publication: 2019-09-04 09:40:09 UTC

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New package googler with initial version 0.0.1
Package: googler
Title: Google from the R Console
Version: 0.0.1
Authors@R: person(given = "Michael W.", family = "Kearney", role = c("aut", "cre"), email = "kearneymw@missouri.edu", comment = c(ORCID = "0000-0002-0730-4694"))
Description: This is a wrapper for the command line tool 'googler', which can be found at the following URL: <https://github.com/jarun/googler>.
Encoding: UTF-8
LazyData: true
Imports: jsonlite, tibble, utils
License: MIT + file LICENSE
RoxygenNote: 6.1.1
URL: https://github.com/mkearney/googler
BugReports: https://github.com/mkearney/googler/issues
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2019-09-03 15:30:25 UTC; kmw
Author: Michael W. Kearney [aut, cre] (<https://orcid.org/0000-0002-0730-4694>)
Maintainer: Michael W. Kearney <kearneymw@missouri.edu>
Repository: CRAN
Date/Publication: 2019-09-04 09:40:06 UTC

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New package raceland with initial version 1.0.0
Package: raceland
Title: Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography
Version: 1.0.0
Authors@R: c(person(given = "Jakub", family = "Nowosad", role = c("aut", "cre"), email = "nowosad.jakub@gmail.com", comment = c(ORCID = "0000-0002-1057-3721")), person("Anna", "Dmowska", role = c("aut")), person("Tomasz", "Stepinski", role = c("aut")))
Description: Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography. It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (>= 3.5)
LinkingTo: Rcpp, comat (>= 0.3.0), RcppArmadillo
Imports: fasterize, methods, plotwidgets, raster, sf, Rcpp, comat
Suggests: dplyr, rgdal, pbapply, testthat (>= 2.1.0), knitr, rmarkdown, RColorBrewer, covr
VignetteBuilder: knitr
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-09-03 11:09:54 UTC; jn
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Anna Dmowska [aut], Tomasz Stepinski [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-04 09:00:02 UTC

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New package mlr3filters with initial version 0.1.0
Package: mlr3filters
Title: Filter Based Feature Selection for 'mlr3'
Version: 0.1.0
Authors@R: c(person(given = "Patrick", family = "Schratz", role = c("aut", "cre"), email = "patrick.schratz@gmail.com", comment = c(ORCID = "0000-0003-0748-6624")), person(given = "Michel", family = "Lang", role = "aut", email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393")), person(given = "Bernd", family = "Bischl", role = "aut", email = "bernd_bischl@gmx.net", comment = c(ORCID = "0000-0001-6002-6980")))
Description: Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.
License: LGPL-3
URL: https://mlr3filters.mlr-org.com, https://github.com/mlr-org/mlr3filters
BugReports: https://github.com/mlr-org/mlr3filters/issues
Depends: R (>= 3.1.0)
Imports: backports, checkmate, data.table, mlr3 (>= 0.1.2), mlr3misc, paradox, R6
Suggests: care, FSelectorRcpp, lgr, mlr3learners, praznik, rpart, testthat
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 6.1.1
Collate: 'Filter.R' 'mlr_filters.R' 'FilterAUC.R' 'FilterAnova.R' 'FilterCMIM.R' 'FilterCarScore.R' 'FilterCorrelation.R' 'FilterDISR.R' 'FilterImportance.R' 'FilterInformationGain.R' 'FilterJMI.R' 'FilterJMIM.R' 'FilterKruskalTest.R' 'FilterMIM.R' 'FilterMRMR.R' 'FilterNJMIM.R' 'FilterPerformance.R' 'FilterVariance.R' 'flt.R' 'reexports.R' 'zzz.R'
Packaged: 2019-09-03 08:43:39 UTC; patrickschratz
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-04 08:30:02 UTC

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New package mixedClust with initial version 1.0.0
Package: mixedClust
Type: Package
Title: Co-Clustering of Mixed Type Data
Version: 1.0.0
Date: 2019-09-02
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse@gmail.com>
Description: Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) <https://hal.archives-ouvertes.fr/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.11), RcppProgress (>= 0.1), fda, methods
LinkingTo: Rcpp, RcppProgress, RcppArmadillo
Suggests: rmarkdown, ordinalClust, knitr
VignetteBuilder: knitr
LazyData: true
Depends: R (>= 3.5.0)
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2019-09-03 10:54:45 UTC; margot
Repository: CRAN
Date/Publication: 2019-09-04 09:00:05 UTC

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New package leaflethex with initial version 0.1.0
Package: leaflethex
Title: Hexbin Layers for 'Leaflet' Maps
Version: 0.1.0
Authors@R: c(person(given = "Randall", family = "Pruim", role = c("aut"), email = "rpruim@gmail.com", comment = c(ORCID = "YOUR-ORCID-ID")), person(given = "Jason", family = "Klaassen", role = c("aut", "cre"), email = "jasonucc12@gmail.com"))
Description: Adds functionality for hexbin layers to 'leaflet' maps. There is a javascript library for this hexbin function already so this package creates an R interface for using that library to make it much easier to access. This package is intended to be a plugin for 'leaflet' and the API attempts to mirror 'leaflet' style.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: leaflet, htmltools, htmlwidgets, stats
Imports: dplyr, readr, tibble
Suggests: spelling, knitr, rmarkdown, tinytex
Language: en-US
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-09-03 04:46:50 UTC; jason
Author: Randall Pruim [aut] (<https://orcid.org/YOUR-ORCID-ID>), Jason Klaassen [aut, cre]
Maintainer: Jason Klaassen <jasonucc12@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-04 08:20:02 UTC

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New package ggBubbles with initial version 0.1.4
Package: ggBubbles
Type: Package
Title: Mini Bubble Plots for Comparison of Discrete Data with 'ggplot2'
Version: 0.1.4
Authors@R: person("Thomas", "Schwarzl", email = "schwarzl@embl.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7697-7000"))
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2
Suggests: BiocStyle, knitr, rmarkdown, tibble
Description: When comparing discrete data mini bubble plots allow displaying more information than traditional bubble plots via colour, shape or labels. Exact overlapping coordinates will be transformed so they surround the original point circularly without overlapping. This is implemented as a position_surround() function for 'ggplot2'.
License: LGPL (>= 3)
Encoding: UTF-8
LazyData: true
biocViews:
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-03 08:10:56 UTC; Tom
Author: Thomas Schwarzl [aut, cre] (<https://orcid.org/0000-0001-7697-7000>)
Maintainer: Thomas Schwarzl <schwarzl@embl.de>
Repository: CRAN
Date/Publication: 2019-09-04 08:20:06 UTC

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New package FunnelPlotR with initial version 0.2.0
Package: FunnelPlotR
Type: Package
Title: Funnel Plots for Indirectly-Standardised Ratios
Version: 0.2.0
Authors@R: c( person("Chris", "Mainey", ,"chris.mainey@uhb.nhs.uk", role= c("aut", "cre"), comment = c(ORCID ="0000-0002-3018-6171") ), person("Matthew", "Bass", ,"matthew.bass@uhb.nhs.uk", role="ctb") )
Maintainer: Chris Mainey <chris.mainey@uhb.nhs.uk>
Description: An implementation of the Spiegelhalter(2005) <doi:10.1002/sim.1970> Funnel plots for reporting standardised ratio, with overdispersion adjustment.
License: MIT + file LICENSE
URL: https://chrismainey.github.io/FunnelPlotR, https://github.com/chrismainey/FunnelPlotR
BugReports: https://github.com/chrismainey/FunnelPlotR/issues
Encoding: UTF-8
LazyData: true
Imports: ggrepel, scales
Depends: ggplot2, dplyr, rlang
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, COUNT, tidyr, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2019-09-03 09:41:46 UTC; Christopher
Author: Chris Mainey [aut, cre] (<https://orcid.org/0000-0002-3018-6171>), Matthew Bass [ctb]
Repository: CRAN
Date/Publication: 2019-09-04 08:50:03 UTC

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New package freesurferformats with initial version 0.1.0
Package: freesurferformats
Type: Package
Title: Read 'FreeSurfer' Neuroimaging File Formats
Version: 0.1.0
Author: Tim Schäfer
Maintainer: Tim Schäfer <ts+code@rcmd.org>
Description: Provides functions to read data from neuroimaging files in 'FreeSurfer' <http://freesurfer.net/> binary formats. This includes the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-02 08:50:18 UTC; timschaefer
Repository: CRAN
Date/Publication: 2019-09-04 08:20:09 UTC

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New package cde with initial version 0.4.1
Package: cde
Type: Package
Title: Download Data from the Catchment Data Explorer Website
Version: 0.4.1
Authors@R: person("Rob", "Briers", email = "r.briers@napier.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0341-1203"))
Description: Facilitates searching, download and plotting of Water Framework Directive (WFD) reporting data for all waterbodies within the UK Environment Agency area. The types of data that can be downloaded are: WFD status classification data, Reasons for Not Achieving Good (RNAG) status, objectives set for waterbodies, measures put in place to improve water quality and details of associated protected areas. The site accessed is <https://environment.data.gov.uk/catchment-planning/>. The data are made available under the Open Government Licence v3.0 <https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/>. This package has been peer-reviewed by rOpenSci (v. 0.4.0).
Depends: R (>= 3.0.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: graphics, utils, data.table, viridisLite
Suggests: testthat, knitr, rmarkdown
URL: https://github.com/ropensci/cde
BugReports: https://github.com/ropensci/cde/issues
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-09-03 09:07:10 UTC; 40000865
Author: Rob Briers [aut, cre] (<https://orcid.org/0000-0003-0341-1203>)
Maintainer: Rob Briers <r.briers@napier.ac.uk>
Repository: CRAN
Date/Publication: 2019-09-04 08:40:02 UTC

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Package fastrtext (with last version 0.3.3) was removed from CRAN

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

2019-05-30 0.3.3
2019-04-13 0.3.2
2019-03-10 0.3.1
2019-02-03 0.2.6
2018-01-04 0.2.5
2017-12-09 0.2.4
2017-11-10 0.2.3
2017-11-06 0.2.2
2017-09-18 0.2.1
2017-09-15 0.2.0

Permanent link
Package CARrampsOcl (with last version 0.1.4) was removed from CRAN

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

2013-10-25 0.1.4
2013-08-18 0.1.3

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Package wedge updated to version 1.0-3 with previous version 1.0-2 dated 2019-06-27

Title: The Exterior Calculus
Description: Provides functionality for working with differentials, k-forms, wedge products, Stokes's theorem, and related concepts from the exterior calculus. The canonical reference would be: M. Spivak (1965, ISBN:0-8053-9021-9). "Calculus on Manifolds", Benjamin Cummings.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between wedge versions 1.0-2 dated 2019-06-27 and 1.0-3 dated 2019-09-04

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 wedge-1.0-3/wedge/tests/testthat/test_misc.R      |    2 
 wedge-1.0-3/wedge/tests/testthat/test_ops.R       |    2 
 wedge-1.0-3/wedge/tests/testthat/test_transform.R |    4 
 wedge-1.0-3/wedge/tests/testthat/test_wedge.R     |    2 
 wedge-1.0-3/wedge/vignettes/wedge.Rmd             |   83 ++++
 40 files changed, 802 insertions(+), 253 deletions(-)

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Package msigdbr updated to version 7.0.1 with previous version 6.2.1 dated 2018-10-09

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>) in a standard R data frame with key-value pairs. The package includes the original human gene symbols and NCBI/Entrez IDs as well as the equivalents for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

Diff between msigdbr versions 6.2.1 dated 2018-10-09 and 7.0.1 dated 2019-09-04

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 LICENSE                         |    2 
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 NAMESPACE                       |    6 -
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 tests/testthat/test-functions.R |   43 +++++--
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 13 files changed, 233 insertions(+), 154 deletions(-)

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Package jskm updated to version 0.3.6 with previous version 0.3.5 dated 2019-05-17

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] (<https://orcid.org/0000-0002-9403-605X>), Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jskm versions 0.3.5 dated 2019-05-17 and 0.3.6 dated 2019-09-04

 DESCRIPTION        |    8 ++++----
 MD5                |   16 ++++++++--------
 NEWS.md            |    4 ++++
 R/jskm.R           |    9 +++++++--
 R/svyjskm.R        |    8 ++++++--
 build/vignette.rds |binary
 inst/doc/jskm.html |   26 +++++++++++++++-----------
 man/jskm.Rd        |    2 +-
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 9 files changed, 46 insertions(+), 29 deletions(-)

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Package fabricatr updated to version 0.10.0 with previous version 0.8.0 dated 2019-03-12

Title: Imagine Your Data Before You Collect It
Description: Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
Author: Graeme Blair [aut, cre], Jasper Cooper [aut], Alexander Coppock [aut], Macartan Humphreys [aut], Aaron Rudkin [aut], Neal Fultz [aut]
Maintainer: Graeme Blair <graeme.blair@ucla.edu>

Diff between fabricatr versions 0.8.0 dated 2019-03-12 and 0.10.0 dated 2019-09-04

 DESCRIPTION          |    8 ++++----
 MD5                  |   10 +++++-----
 NAMESPACE            |   10 +++++-----
 NEWS.md              |    5 +++++
 R/aaa_fabricate.R    |   10 +++++-----
 R/helper_functions.R |   12 ++++++------
 6 files changed, 30 insertions(+), 25 deletions(-)

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Package BoomSpikeSlab updated to version 1.2.1 with previous version 1.1.1 dated 2019-06-07

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian case.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between BoomSpikeSlab versions 1.1.1 dated 2019-06-07 and 1.2.1 dated 2019-09-04

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 MD5                         |   28 +++++--
 NAMESPACE                   |   10 ++
 R/logit.spike.R             |  172 +++++++++++++++++++++-----------------------
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 11 files changed, 148 insertions(+), 112 deletions(-)

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Package orthoDr (with last version 0.6.2) was removed from CRAN

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

2019-08-20 0.6.2
2018-03-25 0.5
2018-03-25 0.5.1
2017-11-02 0.3.0
2017-09-21 0.1.0

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