Mon, 26 Apr 2021

Package survParamSim updated to version 0.1.5 with previous version 0.1.4 dated 2020-12-08

Title: Parametric Survival Simulation with Parameter Uncertainty
Description: Perform survival simulation with parametric survival model generated from 'survreg' function in 'survival' package. In each simulation coefficients are resampled from variance-covariance matrix of parameter estimates to capture uncertainty in model parameters. Prediction intervals of Kaplan-Meier estimates and hazard ratio of treatment effect can be further calculated using simulated survival data.
Author: Kenta Yoshida [aut, cre] (<https://orcid.org/0000-0003-4967-3831>), Laurent Claret [aut]
Maintainer: Kenta Yoshida <yoshida.kenta.6@gmail.com>

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Package rerddapXtracto updated to version 1.1.0 with previous version 1.0.2 dated 2020-11-03

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package foieGras updated to version 0.7-6 with previous version 0.7-5 dated 2021-04-24

Title: Fit Continuous-Time State-Space and Latent Variable Models for Quality Control of Argos Satellite (and Other) Telemetry Data and for Estimating Movement Behaviour
Description: Fits continuous-time random walk and correlated random walk state-space models for quality control animal tracking data ('Argos', processed light-level 'geolocation', 'GPS'). Template Model Builder ('TMB') is used for fast estimation. The 'Argos' data can be: (older) least squares-based locations; (newer) Kalman filter-based locations with error ellipse information; or a mixture of both. The models estimate two sets of location states corresponding to: 1) each observation, which are (usually) irregularly timed; and 2) user-specified time intervals (regular or irregular). Latent variable models are provided to estimate move persistence along tracks as an index of behaviour. Track simulation functions are provided. 'Jonsen I', 'McMahon CR', 'Patterson TA', 'Auger-Méthé M', 'Harcourt R', 'Hindell MA', 'Bestley S' (2019) Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model. Ecology 100:e02566 <doi:10.1002/ecy.2566>.
Author: Ian Jonsen [aut, cre, cph], Toby Patterson [aut, ctb]
Maintainer: Ian Jonsen <ian.jonsen@mq.edu.au>

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Package bayesmove updated to version 0.2.0 with previous version 0.1.0 dated 2020-10-16

Title: Non-Parametric Bayesian Analyses of Animal Movement
Description: Methods for assessing animal movement from telemetry and biologging data using non-parametric Bayesian methods. This includes features for pre- processing and analysis of data, as well as the visualization of results from the models. This framework does not rely on standard parametric density functions, which provides flexibility during model fitting.
Author: Joshua Cullen [aut, cre, cph] (<https://orcid.org/0000-0002-6935-9340>), Denis Valle [aut, cph]
Maintainer: Joshua Cullen <joshcullen10@gmail.com>

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Package piecepackr updated to version 1.7.2 with previous version 1.7.1 dated 2021-03-25

Title: Board Game Graphics
Description: Functions to make board game graphics. Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems. Includes configurations for several public domain game systems.
Author: Trevor L Davis [aut, cre], Delapouite <https://delapouite.com/> [dtc] (Meeple shape extracted from "Meeple icon" <https://game-icons.net/1x1/delapouite/meeple.html> / "CC BY 3.0" <https://creativecommons.org/licenses/by/3.0/>)
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

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Package PReMiuM updated to version 3.2.6 with previous version 3.2.5 dated 2021-04-08

Title: Dirichlet Process Bayesian Clustering, Profile Regression
Description: Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal, survival and categorical response, as well as Normal and discrete covariates. It also allows for fixed effects in the response model, where a spatial CAR (conditional autoregressive) term can be also included. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number of R functions for post-processing of the output are also provided. In addition to fitting mixtures, it may additionally be of interest to determine which covariates actively drive the mixture components. This is implemented in the package as variable selection. The main reference for the package is Liverani, Hastie, Azizi, Papathomas and Richardson (2015) <doi:10.18637/jss.v064.i07>.
Author: David I. Hastie, Silvia Liverani <liveranis@gmail.com> and Sylvia Richardson with contributions from Aurore J. Lavigne, Lucy Leigh, Lamiae Azizi, Xi Liu, Ruizhu Huang, Austin Gratton, Wei Jing
Maintainer: Silvia Liverani <liveranis@gmail.com>

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Package roxut updated to version 0.2.40 with previous version 0.2.23 dated 2020-07-06

Title: Document Unit Tests Roxygen-Style
Description: Much as 'roxygen2' allows one to document functions in the same file as the function itself, 'roxut' allows one to write the unit tests in the same file as the function. Once processed, the unit tests are moved to the appropriate directory. Currently supports 'testthat' and 'tinytest' frameworks. The 'roxygen2' package provides much of the infrastructure.
Author: Bryan A. Hanson [aut, cre] (<https://orcid.org/0000-0003-3536-8246>), Hadley Wickham [aut, cph] (roxygen2 code), Peter Danenberg [aut, cph] (roxygen2 code), Gábor Csárdi [aut] (roxygen2 code), Manuel Eugster [aut, cph] (roxygen2 code), RStudio [cph] (roxygen2 code)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package plot.matrix updated to version 1.6 with previous version 1.5.2 dated 2020-11-01

Title: Visualizes a Matrix as Heatmap
Description: Visualizes a matrix object plainly as heatmap. It provides S3 functions to plot simple matrices and loading matrices.
Author: Sigbert Klinke [aut, cre], Frédéric Chevalier [ctb]
Maintainer: Sigbert Klinke <sigbert@hu-berlin.de>

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Package jquerylib updated to version 0.1.4 with previous version 0.1.3 dated 2020-12-17

Title: Obtain 'jQuery' as an HTML Dependency Object
Description: Obtain any major version of 'jQuery' (<https://code.jquery.com/>) and use it in any webpage generated by 'htmltools' (e.g. 'shiny', 'htmlwidgets', and 'rmarkdown'). Most R users don't need to use this package directly, but other R packages (e.g. 'shiny', 'rmarkdown', etc.) depend on this package to avoid bundling redundant copies of 'jQuery'.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Joe Cheng [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/lib/jquery-AUTHORS.txt)
Maintainer: Carson Sievert <carson@rstudio.com>

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Package StAMPP updated to version 1.6.2 with previous version 1.6.1 dated 2020-03-20

Title: Statistical Analysis of Mixed Ploidy Populations
Description: Allows users to calculate pairwise Nei's Genetic Distances (Nei 1972), pairwise Fixation Indexes (Fst) (Weir & Cockerham 1984) and also Genomic Relationship matrixes following Yang et al. (2010) in mixed and single ploidy populations. Bootstrapping across loci is implemented during Fst calculation to generate confidence intervals and p-values around pairwise Fst values. StAMPP utilises SNP genotype data of any ploidy level (with the ability to handle missing data) and is coded to utilise multithreading where available to allow efficient analysis of large datasets. StAMPP is able to handle genotype data from genlight objects allowing integration with other packages such adegenet. Please refer to LW Pembleton, NOI Cogan & JW Forster, 2013, Molecular Ecology Resources, 13(5), 946-952. <doi:10.1111/1755-0998.12129> for the appropriate citation and user manual. Thank you in advance.
Author: LW Pembleton
Maintainer: LW Pembleton <luke.pembleton@agriculture.vic.gov.au>

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Package shinydashboardPlus updated to version 2.0.1 with previous version 2.0.0 dated 2021-03-07

Title: Add More 'AdminLTE2' Components to 'shinydashboard'
Description: Extend 'shinydashboard' with 'AdminLTE2' components. 'AdminLTE2' is a free 'Bootstrap 3' dashboard template available at <https://adminlte.io>. Customize boxes, add timelines and a lot more.
Author: David Granjon [aut, cre], RinteRface [cph], Almasaeed Studio [ctb, cph] (AdminLTE2 theme for Bootstrap 3), Guang Yang [ctb, cph] (ygdashboard original template), Winston Chang [ctb, cph] (Functions from shinydashboard), Victor Perrier [ctb] (improved the shinydashboardPlusGallery)
Maintainer: David Granjon <dgranjon@ymail.com>

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Package cli updated to version 2.5.0 with previous version 2.4.0 dated 2021-04-05

Title: Helpers for Developing Command Line Interfaces
Description: A suite of tools to build attractive command line interfaces ('CLIs'), from semantic elements: headings, lists, alerts, paragraphs, etc. Supports custom themes via a 'CSS'-like language. It also contains a number of lower level 'CLI' elements: rules, boxes, trees, and 'Unicode' symbols with 'ASCII' alternatives. It support ANSI colors and text styles as well.
Author: Gábor Csárdi [aut, cre], Hadley Wickham [ctb], Kirill Müller [ctb], RStudio [cph]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package mlmi updated to version 1.1.0 with previous version 1.0.0 dated 2019-08-02

Title: Maximum Likelihood Multiple Imputation
Description: Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2019) <arXiv:1210.0870v10>. A number of different imputations are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using combination rules similar to Rubin's or using a likelihood score based approach based on theory by Wang and Robins (1998) <doi:10.1093/biomet/85.4.935>.
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

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Package esaddle updated to version 0.0.7 with previous version 0.0.6 dated 2020-01-10

Title: Extended Empirical Saddlepoint Density Approximations
Description: Tools for fitting the Extended Empirical Saddlepoint (EES) density of Fasiolo et al. (2018) <doi:10.1214/18-EJS1433>.
Author: Matteo Fasiolo and Simon N. Wood
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package bayes4psy updated to version 1.2.6 with previous version 1.2.5 dated 2020-12-07

Title: User Friendly Bayesian Data Analysis for Psychology
Description: Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).
Author: Jure Demšar [cre, aut], Grega Repovš [aut], Erik Štrumbelj [aut], Trustees of Columbia University [cph], John Kruschke [cph] (R/shared_functions.R - mcmc_hdi, src/stan_files/ttest.stan), Rasmus Baath [cph] (R/b_bootstrap.R)
Maintainer: Jure Demšar <jure.demsar@fri.uni-lj.si>

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Package mixlm updated to version 1.2.5 with previous version 1.2.4 dated 2019-12-13

Title: Mixed Model ANOVA and Statistics for Education
Description: The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.
Author: Kristian Hovde Liland [aut, cre], Solve S<e6>b<f8> [ctb], R-Core [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package MBNMAtime updated to version 0.2.0 with previous version 0.1.3 dated 2020-03-04

Title: Run Time-Course MBNMA Models
Description: Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting.
Author: Hugo Pedder [aut, cre], Tobias Saueressig [rev], Nicky Welton [ctb, rev], Sofia Dias [ctb, rev], Meg Bennetts [ctb, rev], Martin Boucher [ctb, rev]
Maintainer: Hugo Pedder <hugopedder@gmail.com>

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Package oceanis updated to version 1.7.5.2 with previous version 1.7.5.1 dated 2021-02-05

Title: Cartography for Statistical Analysis
Description: Creating maps for statistical analysis such as proportional circles, chroropleth, typology and flows. Some functions use 'shiny' or 'leaflet' technologies for dynamism and interactivity. The great features are : - Create maps in a web environment where the parameters are modifiable on the fly ('shiny' and 'leaflet' technology). - Create interactive maps through zoom and pop-up ('leaflet' technology). - Create frozen maps with the possibility to add labels.
Author: Sébastien CALVET - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [cre, aut], Sophie AUDRIC - PSAR-AT - DR Provence-Alpes-Cote d'Azur - INSEE [aut], SED - DR Hauts-de-France - INSEE [ctb], PSAR-SL - DR Auvergne-Rhone-Alpes - INSEE [ctb], PSAR-EEP - DR Occitanie - INSEE [ctb], SED - DR Pays-de-la-Loire - INSEE [ctb]
Maintainer: Sébastien CALVET <sebastien.calvet@insee.fr>

Diff between oceanis versions 1.7.5.1 dated 2021-02-05 and 1.7.5.2 dated 2021-04-26

 DESCRIPTION                     |    8 ++++----
 MD5                             |   34 +++++++++++++++++-----------------
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 R/calcul_bornes.R               |    2 ++
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 R/plot_classes.R                |    6 +++---
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 README.md                       |    2 +-
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 inst/doc/oceanis.html           |   13 ++++++++++---
 18 files changed, 100 insertions(+), 76 deletions(-)

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Package migraph updated to version 0.6.3 with previous version 0.6.2 dated 2021-04-15

Title: Multimodal and Multilevel Network Analysis
Description: A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks. It includes functions for one- and two-mode (and sometimes three-mode) centrality, centralization, clustering, and constraint, as well as for one- and two-mode network regression and block-modelling. All functions operate with matrices, edge lists, and 'igraph', 'network'/'sna', and 'tidygraph' objects. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book.
Author: James Hollway [cph, cre, aut, ctb] (IHEID, <https://orcid.org/0000-0002-8361-9647>)
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between migraph versions 0.6.2 dated 2021-04-15 and 0.6.3 dated 2021-04-26

 migraph-0.6.2/migraph/R/convert.R                      |only
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 migraph-0.6.3/migraph/MD5                              |   47 ++++++-----
 migraph-0.6.3/migraph/NAMESPACE                        |   16 ++-
 migraph-0.6.3/migraph/NEWS.md                          |   40 +++++++++
 migraph-0.6.3/migraph/R/blockmodel.R                   |   39 ---------
 migraph-0.6.3/migraph/R/coercion.R                     |only
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 migraph-0.6.3/migraph/R/plot.R                         |   46 ++++++++++-
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 migraph-0.6.3/migraph/man/read.Rd                      |only
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 migraph-0.6.3/migraph/tests/testthat/test-coercion.R   |only
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 migraph-0.6.3/migraph/tests/testthat/test-generate.R   |only
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 34 files changed, 269 insertions(+), 126 deletions(-)

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Package reportfactory updated to version 0.3.0 with previous version 0.2.0 dated 2021-03-11

Title: Lightweight Infrastructure for Handling Multiple R Markdown Documents
Description: Provides an infrastructure for handling multiple R Markdown reports, including automated curation and time-stamping of outputs, parameterisation and provision of helper functions to manage dependencies.
Author: Thibaut Jombart [aut], Amy Gimma [ctb], Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>)
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between reportfactory versions 0.2.0 dated 2021-03-11 and 0.3.0 dated 2021-04-26

 DESCRIPTION                           |   10 +--
 MD5                                   |   20 +++----
 NEWS.md                               |    6 ++
 R/compile_reports.R                   |   24 +++++++-
 R/list_reports.R                      |    2 
 R/new_factory.R                       |   22 ++++++-
 man/compile_reports.Rd                |    4 +
 man/new_factory.Rd                    |    9 ++-
 tests/testthat.R                      |   10 ++-
 tests/testthat/test-compile_reports.R |   94 ++++++++++++++++++++++++++++++++++
 tests/testthat/test-new_factory.R     |    4 +
 11 files changed, 177 insertions(+), 28 deletions(-)

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Package archeofrag updated to version 0.7 with previous version 0.6.0 dated 2020-11-27

Title: Refitting and Spatial Analysis in Archaeology
Description: Methods to analyse fragmented objects in archaeology using refitting relationships between fragments scattered in archaeological spatial units (e.g. stratigraphic layers). Graphs and graph theory are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. An empirical dataset is also provided as an example.
Author: Sebastien Plutniak [aut, cre] (<https://orcid.org/0000-0002-6674-3806>)
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

Diff between archeofrag versions 0.6.0 dated 2020-11-27 and 0.7 dated 2021-04-26

 DESCRIPTION                       |   14 -
 MD5                               |   84 ++++----
 NAMESPACE                         |   13 -
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 R/frag.diameters.R                |    4 
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 R/frag.get.layers.R               |    9 
 R/frag.get.layers.pair.R          |   22 +-
 R/frag.get.parameters.R           |   30 ++-
 R/frag.graph.plot.R               |   26 ++
 R/frag.layers.admixture.R         |   30 ++-
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 R/frag.observer.failure.R         |only
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 data/LiangAbu.RData               |binary
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 inst/doc/archeofrag-vignette.html |  355 +++++++++++++++++---------------------
 man/Frag.object-class.Rd          |   27 +-
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 vignettes/archeofrag-vignette.Rmd |   13 +
 47 files changed, 937 insertions(+), 510 deletions(-)

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New package xpose.nlmixr with initial version 0.2.0
Package: xpose.nlmixr
Title: Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr'
Version: 0.2.0
Authors@R: c(person('Justin', 'Wilkins', email = 'justin.wilkins@occams.com', role = c('aut', 'cre', 'cph')), person('Matthew','Fidler', role = c('aut','cph'), email = 'matthew.fidler@gmail.com'), person('Benjamin', 'Guiastrennec', role = c('aut'), email = 'guiastrennec@gmail.com'), person('Andrew C.', 'Hooker', role = c('aut'), email = 'andrew.hooker@farmbio.uu.se'), person('Anna', 'Olofsson', role = c('aut', 'cph')), person('Sebastian', 'Ueckert', role = c('aut'), email = 'sebastian.ueckert@farmbio.uu.se'), person('Ron', 'Keizer', role = 'aut', email = 'ronkeizer@gmail.com'), person('Kajsa', 'Harling', role = 'ctb'), person('Mike K.', 'Smith', role = 'ctb'), person('Elodie', 'Plan', role = 'ctb'), person('Mats O.', 'Karlsson', role = c('aut', 'cph'), email = 'mats.karlsson@farmbio.uu.se'), person('Pharmetheus', role = 'ctb'), person('Pfizer', role = 'ctb'), person('Occams', role = 'ctb'), person('Novartis', role = 'ctb'))
Maintainer: Justin Wilkins <justin.wilkins@occams.com>
Description: Extension to 'xpose' to support 'nlmixr'. Provides functions to import 'nlmixr' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr' model diagnostics.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2), xpose (>= 0.4.2)
Imports: ggplot2 (>= 2.2.1), nlmixr (>= 1.1.0-0), dplyr (>= 0.7.4), tibble (>= 2.0.0), stringr (>= 1.2.0), tidyr (>= 0.7.2), magrittr (>= 1.5), methods (>= 3.4.1), vpc (>= 1.0.2), nlme, crayon, rlang
NeedsCompilation: no
Packaged: 2021-04-26 07:57:22 UTC; justin
Author: Justin Wilkins [aut, cre, cph], Matthew Fidler [aut, cph], Benjamin Guiastrennec [aut], Andrew C. Hooker [aut], Anna Olofsson [aut, cph], Sebastian Ueckert [aut], Ron Keizer [aut], Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. Karlsson [aut, cph], Pharmetheus [ctb], Pfizer [ctb], Occams [ctb], Novartis [ctb]
Repository: CRAN
Date/Publication: 2021-04-26 10:20:03 UTC

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New package UPCM with initial version 0.0-2
Package: UPCM
Title: Uncertainty in Partial Credit Models
Version: 0.0-2
Date: 2021-04-26
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>
Description: Provides an extension to the Partial Credit Model and Generalized Partial Credit Models which allows for an additional person parameter that characterizes the uncertainty of the person. The method was originally proposed by Tutz and Schauberger (2020) <doi:10.1177/0146621620920932>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.4), cubature, mvtnorm, numDeriv, statmod
Depends: R (>= 3.5.0), ltm
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2021-04-26 08:44:38 UTC; ge29weh
Repository: CRAN
Date/Publication: 2021-04-26 10:30:02 UTC

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New package pcds with initial version 0.1.2
Package: pcds
Title: Proximity Catch Digraphs and Their Applications
Version: 0.1.2
Author: Elvan Ceyhan
Maintainer: Elvan Ceyhan <elvanceyhan@gmail.com>
Description: Contains the functions for generating patterns of segregation, association, complete spatial randomness (CSR)) and Uniform data in one, two and three dimensional cases, for testing these patterns based on two invariants of various families of the proximity catch digraphs (PCDs) (see (Ceyhan (2005) ISBN:978-3-639-19063-2). The graph invariants used in testing spatial point data are the domination number (Ceyhan (2011) <doi:10.1080/03610921003597211>) and arc density (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>; Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>) of for two-dimensional data for visualization of PCDs for one, two and three dimensional data. The PCD families considered are Arc-Slice PCDs, Proportional-Edge PCDs and Central Similarity PCDs.
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
Imports: combinat, graphics, interp, plot3D, plotrix, Rdpack (>= 0.7), stats
RdMacros: Rdpack
Suggests: scatterplot3d
NeedsCompilation: no
Packaged: 2021-04-25 23:46:09 UTC; ceyhan
Repository: CRAN
Date/Publication: 2021-04-26 10:00:02 UTC

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New package IGP with initial version 0.2.0
Package: IGP
Title: Interchangeable Gaussian Process Models
Version: 0.2.0
Authors@R: c( person("Collin", "Erickson", email = "collinberickson@gmail.com", role = c("aut", "cre")) )
Description: Creates a Gaussian process model using the specified package. Makes it easy to try different packages in same code, only the package argument needs to be changed. It is essentially a wrapper for the other Gaussian process software packages.
License: GPL-3
Imports: R6, reticulate
Suggests: GPfit, laGP, mlegp, tgp, DiceKriging, CGP, GauPro, hetGP, testthat, lhs, ggplot2, reshape, ContourFunctions, numDeriv
URL: https://github.com/CollinErickson/IGP
BugReports: https://github.com/CollinErickson/IGP/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-26 02:57:45 UTC; Collin Erickson
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 10:00:19 UTC

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New package fglsnet with initial version 1.0
Package: fglsnet
Title: A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence
Version: 1.0
Date: 2021-04-20
Description: The function estimates a multivariate regression model for outcomes with network dependence.
Author: Weihua An
Maintainer: Weihua An <weihua.an@emory.edu>
Imports: network, sna, matrixcalc, Matrix, MASS, sandwich, lmtest
License: GPL-3
LazyData: true
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-25 17:28:36 UTC; wan3
Repository: CRAN
Date/Publication: 2021-04-26 09:40:02 UTC

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New package DEPONS2R with initial version 1.0.3
Package: DEPONS2R
Title: Read, Plot and Analyse Output from the DEPONS Model
Version: 1.0.3
Author: Jacob Nabe-Nielsen
Maintainer: Jacob Nabe-Nielsen <jnn@bios.au.dk>
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu>, and for manipulating input raster files and shipping routes.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: raster, methods, sp, utils, grDevices, xml2, rgdal, rgeos, jsonlite
NeedsCompilation: no
Packaged: 2021-04-25 18:03:38 UTC; au155800
Repository: CRAN
Date/Publication: 2021-04-26 09:40:05 UTC

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New package refitME with initial version 1.2.0
Package: refitME
Title: Measurement Error Modelling using MCEM
Version: 1.2.0
Authors@R: c(person(given = "Jakub", family = "Stoklosa", role = c("aut", "cre"), email = "j.stoklosa@unsw.edu.au", comment = c(ORCID = "0000-0002-6523-4524")), person(given = "Wenhan", family = "Hwang", role = c("aut", "ctb")), person(given = "David", family = "Warton", role = c("aut", "ctb")), person(given = "Jeremy", family = "Vanderwal", role = "ctb", email = "jjvanderwal@@gmail.com", comment = c("Used the wt.var() function written by Jeremy VanDerWal")))
Description: Fits measurement error models using Monte Carlo Expectation Maximization (MCEM). For specific details on the methodology, see: Greg C. G. Wei & Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms, Journal of the American Statistical Association, 85:411, 699-704 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package tutorial".
Depends: R (>= 4.0.0)
Imports: MASS, SemiPar, mgcv, VGAM, VGAMdata, caret, expm, mvtnorm, sandwich, stats, dplyr
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-25 11:15:06 UTC; z3409479
Author: Jakub Stoklosa [aut, cre] (<https://orcid.org/0000-0002-6523-4524>), Wenhan Hwang [aut, ctb], David Warton [aut, ctb], Jeremy Vanderwal [ctb] (Used the wt.var() function written by Jeremy VanDerWal)
Maintainer: Jakub Stoklosa <j.stoklosa@unsw.edu.au>
Repository: CRAN
Date/Publication: 2021-04-26 08:30:03 UTC

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New package ganGenerativeData with initial version 1.1
Package: ganGenerativeData
Title: Generate Generative Data for a Data Source
Version: 1.1
Date: 2021-04-22
Author: Werner Mueller
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Description: Generative Adversarial Networks are applied to generate generative data for a data source. In iterative training steps the distribution of generated data converges to that of the data source. Reference: Goodfellow et al. (2014) <arXiv:1406.2661v1>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), tensorflow (>= 2.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-04-25 15:32:53 UTC; rstudio
Repository: CRAN
Date/Publication: 2021-04-26 08:30:06 UTC

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New package elasdics with initial version 0.1.2
Package: elasdics
Title: Elastic Analysis of Sparse, Dense and Irregular Curves
Version: 0.1.2
Author: Lisa Steyer <lisa.steyer@hu-berlin.de>
Maintainer: Lisa Steyer <lisa.steyer@hu-berlin.de>
Description: Provides functions to align curves and to compute mean curves based on the elastic distance defined in the square-root-velocity framework. For more details on this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). For more theoretical details on our methods and algorithms see Steyer et al. (2021, <arXiv:2104.11039>).
License: GPL-3
Encoding: UTF-8
Imports: splines, stats, numDeriv
Suggests: testthat, covr
NeedsCompilation: no
Packaged: 2021-04-25 12:20:51 UTC; User
Repository: CRAN
Date/Publication: 2021-04-26 08:30:09 UTC

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New package safejoin with initial version 0.1.0
Package: safejoin
Title: Perform "Safe" Table Joins
Version: 0.1.0
Authors@R: person(given = "Sam", family = "Edwardes", role = c("aut", "cre"), email = "edwardes.s@gmail.com")
Description: The goal of 'safejoin' is to guarantee that when performing joins extra rows are not added to your data. 'safejoin' provides a wrapper around 'dplyr::left_join' that will raise an error when extra rows are unexpectedly added to your data. This can be useful when working with data where you expect there to be a many to one relationship but you are not certain the relationship holds.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: false
Suggests: testthat, knitr, rmarkdown
Imports: dplyr, glue
URL: https://github.com/SamEdwardes/safejoin
BugReports: https://github.com/SamEdwardes/safejoin/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-20 13:27:30 UTC; samedwardes
Author: Sam Edwardes [aut, cre]
Maintainer: Sam Edwardes <edwardes.s@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 07:30:02 UTC

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New package pomcheckr with initial version 0.1.0
Package: pomcheckr
Title: Graphical Check for Proportional Odds Assumption
Version: 0.1.0
Authors@R: person(given = "Melissa", family = "Wong", role = c("aut", "cre"), email = "melissa.wong.stats@gmail.com", comment = c(ORCID = "0000-0002-2973-6279"))
Description: Implements the method described at the UCLA Statistical Consulting site <https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/> for checking if the proportional odds assumption holds for a cumulative logit model.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: dplyr, tidyr, ggplot2, assertthat, stats, rlang, magrittr, stringr
NeedsCompilation: no
Packaged: 2021-04-24 18:55:51 UTC; melissa
Author: Melissa Wong [aut, cre] (<https://orcid.org/0000-0002-2973-6279>)
Maintainer: Melissa Wong <melissa.wong.stats@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 08:00:03 UTC

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New package babelgene with initial version 21.4
Package: babelgene
Title: Gene Orthologs for Model Organisms in a Tidy Data Format
Version: 21.4
Authors@R: person("Igor", "Dolgalev", email = "igor.dolgalev@nyumc.org", role = c("aut", "cre"))
Description: Genomic analysis of model organisms often requires the use of databases based on human data or making comparisons to patient-derived resources. This requires converting genes between human and non-human analogues. The babelgene R package provides predicted gene orthologs/homologs for frequently studied model organisms in an R-friendly tidy/long format. The package integrates orthology assertion predictions sourced from multiple databases as compiled by the HGNC Comparison of Orthology Predictions (HCOP) (Wright et al. 2005 <doi:10.1007/s00335-005-0103-2>, Eyre et al. 2007 <doi:10.1093/bib/bbl030>, Seal et al. 2011 <doi:10.1093/nar/gkq892>).
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://igordot.github.io/babelgene/
BugReports: https://github.com/igordot/babelgene/issues
Depends: R (>= 3.3)
Imports: dplyr, methods, rlang
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-24 02:41:40 UTC; id460
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>
Repository: CRAN
Date/Publication: 2021-04-26 07:40:03 UTC

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Package survival updated to version 3.2-11 with previous version 3.2-10 dated 2021-03-16

Title: Survival Analysis
Description: Contains the core survival analysis routines, including definition of Surv objects, Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models, and parametric accelerated failure time models.
Author: Terry M Therneau [aut, cre], Thomas Lumley [ctb, trl] (original S->R port and R maintainer until 2009), Atkinson Elizabeth [ctb], Crowson Cynthia [ctb]
Maintainer: Terry M Therneau <therneau.terry@mayo.edu>

Diff between survival versions 3.2-10 dated 2021-03-16 and 3.2-11 dated 2021-04-26

 DESCRIPTION                 |    8 +-
 MD5                         |  130 ++++++++++++++++++++++----------------------
 R/attrassign.R              |    2 
 R/coxph.R                   |    6 +-
 R/coxph.getdata.R           |    6 +-
 R/model.matrix.coxph.R      |    2 
 R/parsecovar.R              |    4 -
 R/plot.survfit.R            |   46 +++++++++++----
 R/print.coxph.R             |    2 
 R/print.summary.coxph.R     |    2 
 R/pseudo.R                  |    6 +-
 R/pyears.R                  |    5 +
 R/residuals.survfit.R       |    4 -
 R/stacker.R                 |    2 
 R/survcheck.R               |    8 +-
 R/survfit.R                 |    8 +-
 R/survfit.coxphms.R         |   11 ++-
 R/survfitCI.R               |    2 
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More information about survival at CRAN
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New package semmcmc with initial version 0.0.4
Package: semmcmc
Title: Bayesian Structural Equation Modeling in Multiple Omics Data Integration
Version: 0.0.4
Date: 2021-04-20
Authors@R: c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")), person("Sang", "Chan Lee", email = "sangchan0624@gmail.com", role = "aut"), person("Bani", "K. Mallick", email = "bmallick@stat.tamu.edu", role = "aut"), person("Samsiddhi", "Bhattacharjee", email = "sb1@nibmg.ac.in", role = "aut"), person("Nidhan", "K. Biswas", email = "nkb1@nibmg.ac.in", role = "aut"))
Description: Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is useful when one attempts to perform an integrative survival analysis for multiple platforms of the Omics data where the response is time to event and the predictors are different omics expressions for different platforms.
Depends: R (>= 2.10)
Imports: MASS, msm
License: GPL-3
Encoding: UTF-8
LazyData: FALSE
NeedsCompilation: no
Packaged: 2021-04-22 19:20:44 UTC; MAITYA02
Author: Arnab Maity [aut, cre], Sang Chan Lee [aut], Bani K. Mallick [aut], Samsiddhi Bhattacharjee [aut], Nidhan K. Biswas [aut]
Maintainer: Arnab Maity <arnab.maity@pfizer.com>
Repository: CRAN
Date/Publication: 2021-04-26 06:10:02 UTC

More information about semmcmc at CRAN
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New package rTLS with initial version 0.2.3.3
Package: rTLS
Title: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Version: 0.2.3.3
Authors@R: c(person(given = "J. Antonio", family = "Guzmán Q.", role = c("cre", "aut", "ths", "cph"), email = "antguz06@gmail.com", comment = c(ORCID = "0000-0002-0721-148X")), person(given = "Ronny", family = "Hernandez", role = "aut", email = "ronny.hernandezm@gmail.com", comment = c(ORCID = "0000-0001-6225-7096")), person(given = "Arturo", family = "Sanchez-Azofeifa", role = c("dgs", "sad"), email = "arturo.sanchez@ualberta.ca", comment = c(ORCID = "0000-0001-7768-6600")), person(given = "Marius", family = "Muja", role = "cph", email = "mariusm@cs.ubc.ca", comment = "Copyright holder for FLANN C++ code"), person(given = "David G.", family = "Lowe", role = "cph", email = "lowe@cs.ubc.ca", comment = "Copyright holder for FLANN C++ code"), person(given = "Aguilar", family = "Pablo", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Diggins", family = "Christopher", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Henney", family = "Kevlin", role = "cph", comment = "Copyright holder for Boost C++ code"), person(given = "Yee", family = "Jeremy", role = "cph", email = "jeremyyee@outlook.com.au", comment = "Copyright holder for rflann code"), person(given = "Rabaud", family = "Vincent", role = "hnr", comment = "Honored by a work on dynamic_bitset.h"))
Maintainer: J. Antonio Guzmán Q. <antguz06@gmail.com>
Description: A set of tools to process and calculate metrics on point clouds derived from terrestrial LiDAR (Light Detection and Ranging; TLS). Its creation is based on key aspects of the TLS application in forestry and ecology. Currently, the main routines are based on filtering, neighboring features of points, voxelization, canopy structure, and the creation of artificial stands. It is written using data.table and C++ language and in most of the functions it is possible to use parallel processing to speed-up the routines.
License: GPL (>= 3)
URL: https://github.com/Antguz/rTLS
BugReports: https://github.com/Antguz/rTLS/issues
Depends: data.table (>= 1.14), R (>= 4.0.0)
Imports: alphashape3d, boot, doSNOW (>= 1.0.16), foreach (>= 1.4.4), parallel (>= 3.6.0), Rcpp (>= 1.0.3), RcppProgress (>= 0.4.2), rgeos, rgl, sp
Suggests: knitr, rmarkdown, covr, testthat (>= 3.0.1)
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.870), RcppProgress (>= 0.4.2)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: GNU make
ByteCompile: true
NeedsCompilation: yes
Packaged: 2021-04-22 20:53:44 UTC; antguz
Author: J. Antonio Guzmán Q. [cre, aut, ths, cph] (<https://orcid.org/0000-0002-0721-148X>), Ronny Hernandez [aut] (<https://orcid.org/0000-0001-6225-7096>), Arturo Sanchez-Azofeifa [dgs, sad] (<https://orcid.org/0000-0001-7768-6600>), Marius Muja [cph] (Copyright holder for FLANN C++ code), David G. Lowe [cph] (Copyright holder for FLANN C++ code), Aguilar Pablo [cph] (Copyright holder for Boost C++ code), Diggins Christopher [cph] (Copyright holder for Boost C++ code), Henney Kevlin [cph] (Copyright holder for Boost C++ code), Yee Jeremy [cph] (Copyright holder for rflann code), Rabaud Vincent [hnr] (Honored by a work on dynamic_bitset.h)
Repository: CRAN
Date/Publication: 2021-04-26 06:20:02 UTC

More information about rTLS at CRAN
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Package manhattanly updated to version 0.3.0 with previous version 0.2.0 dated 2016-11-15

Title: Interactive Q-Q and Manhattan Plots Using 'plotly.js'
Description: Create interactive manhattan, Q-Q and volcano plots that are usable from the R console, in 'Dash' apps, in the 'RStudio' viewer pane, in 'R Markdown' documents, and in 'Shiny' apps. Hover the mouse pointer over a point to show details or drag a rectangle to zoom. A manhattan plot is a popular graphical method for visualizing results from high-dimensional data analysis such as a (epi)genome wide association study (GWAS or EWAS), in which p-values, Z-scores, test statistics are plotted on a scatter plot against their genomic position. Manhattan plots are used for visualizing potential regions of interest in the genome that are associated with a phenotype. Interactive manhattan plots allow the inspection of specific value (e.g. rs number or gene name) by hovering the mouse over a cell, as well as zooming into a region of the genome (e.g. a chromosome) by dragging a rectangle around the relevant area. This work is based on the 'qqman' package and the 'plotly.js' engine. It produces similar manhattan and Q-Q plots as the 'manhattan' and 'qq' functions in the 'qqman' package, with the advantage of including extra annotation information and interactive web-based visualizations directly from R. Once uploaded to a 'plotly' account, 'plotly' graphs (and the data behind them) can be viewed and modified in a web browser.
Author: Sahir Bhatnagar [aut, cre] (http://sahirbhatnagar.com/)
Maintainer: Sahir Bhatnagar <sahir.bhatnagar@gmail.com>

Diff between manhattanly versions 0.2.0 dated 2016-11-15 and 0.3.0 dated 2021-04-26

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More information about manhattanly at CRAN
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New package basedosdados with initial version 0.0.5
Package: basedosdados
Title: 'Base Dos Dados' R Client
Version: 0.0.5
Authors@R: person(given = "Pedro", family = "Cavalcante", role = c("aut", "cre"), email = "pedrocolrj@gmail.com")
Description: An R interface to the 'Base dos Dados' API <https:basedosdados.github.io/mais/py_reference_api/>). Authenticate your project, query our tables, save data to disk and memory, all from R.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, dplyr, tibble, httr, googleAuthR, cli, magrittr, readr, stringr, dotenv, bigrquery, glue, rlang, writexl
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2021-04-23 02:38:05 UTC; pedro
Author: Pedro Cavalcante [aut, cre]
Maintainer: Pedro Cavalcante <pedrocolrj@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-26 06:30:10 UTC

More information about basedosdados at CRAN
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Package SmallCountRounding updated to version 0.8.0 with previous version 0.7.0 dated 2021-03-09

Title: Small Count Rounding of Tabular Data
Description: A statistical disclosure control tool to protect frequency tables in cases where small values are sensitive. The function PLSrounding() performs small count rounding of necessary inner cells so that all small frequencies of cross-classifications to be published (publishable cells) are rounded. This is equivalent to changing micro data since frequencies of unique combinations are changed. Thus, additivity and consistency are guaranteed. The methodology is described in Langsrud and Heldal (2018) <https://www.researchgate.net/publication/327768398_An_Algorithm_for_Small_Count_Rounding_of_Tabular_Data>.
Author: Øyvind Langsrud [aut, cre], Johan Heldal [aut]
Maintainer: Øyvind Langsrud <oyl@ssb.no>

Diff between SmallCountRounding versions 0.7.0 dated 2021-03-09 and 0.8.0 dated 2021-04-26

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More information about SmallCountRounding at CRAN
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Package rflights (with last version 0.1.103) was removed from CRAN

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

2019-09-18 0.1.103
2019-08-05 0.1.102
2019-05-16 0.1.0

Permanent link
Package ipeadatar (with last version 0.1.2) was removed from CRAN

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

2021-04-13 0.1.2
2020-05-14 0.1.1
2019-02-22 0.1.0

Permanent link
Package MAINT.Data updated to version 2.6.0 with previous version 2.5.0 dated 2020-09-24

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

Diff between MAINT.Data versions 2.5.0 dated 2020-09-24 and 2.6.0 dated 2021-04-26

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More information about MAINT.Data at CRAN
Permanent link

Package ExamPAData updated to version 0.3.0 with previous version 0.2.1 dated 2021-03-23

Title: Data Sets for Predictive Analytics Exam
Description: Contains all data sets for Exam PA: Predictive Analytics at <https://exampa.net/>.
Author: Guanglai Li [aut, cre], Sam Castillo [aut]
Maintainer: Guanglai Li <liguanglai@gmail.com>

Diff between ExamPAData versions 0.2.1 dated 2021-03-23 and 0.3.0 dated 2021-04-26

 DESCRIPTION                    |    8 ++++----
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More information about ExamPAData at CRAN
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