Mon, 26 Aug 2019

Package yardstick updated to version 0.0.4 with previous version 0.0.3 dated 2019-03-08

Title: Tidy Characterizations of Model Performance
Description: Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).
Author: Max Kuhn [aut], Davis Vaughan [aut, cre], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between yardstick versions 0.0.3 dated 2019-03-08 and 0.0.4 dated 2019-08-26

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Package vimp updated to version 1.1.6 with previous version 1.1.5 dated 2019-08-09

Title: Nonparametric Variable Importance
Description: Calculate point estimates of and valid confidence intervals for nonparametric variable importance measures in high and low dimensions, using flexible estimators of the underlying regression functions. For more information about the methods, please see Williamson et al. (2017) <https://biostats.bepress.com/uwbiostat/paper422/>.
Author: Brian D. Williamson [aut, cre], Noah Simon [aut], Marco Carone [aut]
Maintainer: Brian D. Williamson <brianw26@uw.edu>

Diff between vimp versions 1.1.5 dated 2019-08-09 and 1.1.6 dated 2019-08-26

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Package provViz updated to version 1.0.6 with previous version 1.0.5 dated 2019-06-10

Title: Provenance Visualizer
Description: Displays provenance graphically for provenance collected by the 'rdt' or 'rdtLite' packages, or other tools providing compatible PROV JSON output. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in <https://github.com/End-to-end-provenance/ExtendedProvJson>. More information about rdtLite and associated tools is available at <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection to Collect Provenance in R, Informatics, <doi: 10.3390/informatics5010012>.
Author: Emery Boose [ctb], Barbara Lerner [aut, cre], Sofiya Taskova [aut], Miruna Oprescu [aut], Nikki Hoffler [aut], Marios Dardas [aut], Elizabeth Fong [ctb], Thomas Pasquier [ctb], Matthew Lau [ctb], Aaron Ellison [res], Margo Seltzer [res]
Maintainer: Barbara Lerner <blerner@mtholyoke.edu>

Diff between provViz versions 1.0.5 dated 2019-06-10 and 1.0.6 dated 2019-08-26

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Package mfe updated to version 0.1.3 with previous version 0.1.2 dated 2019-04-10

Title: Meta-Feature Extractor
Description: Extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning. The meta-features, also called characterization measures, are able to characterize the complexity of datasets and to provide estimates of algorithm performance. The package contains not only the standard characterization measures, but also more recent characterization measures. By making available a large set of meta-feature extraction functions, tasks like comprehensive data characterization, deep data exploration and large number of Meta-Learning based data analysis can be performed. These concepts are described in the paper: Adriano Rivolli, Luis Garcia, Carlos Soares, Joaquin Vanschoren, and Andre de Carvalho. Towards Reproducible Empirical Research in Meta-Learning.
Author: Adriano Rivolli [aut, cre], Luis P. F. Garcia [aut], Andre C. P. L. F. de Carvalho [ths]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>

Diff between mfe versions 0.1.2 dated 2019-04-10 and 0.1.3 dated 2019-08-26

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Package markovchain updated to version 0.7.0 with previous version 0.6.9.16 dated 2019-07-22

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut, cre] (<https://orcid.org/0000-0002-0315-8888>), Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] (<https://orcid.org/0000-0001-7242-1873>), Deepak Yadav [aut], Ignacio Cordón [aut] (<https://orcid.org/0000-0002-3152-0231>), Vandit Jain [ctb], Toni Giorgino [ctb] (<https://orcid.org/0000-0001-6449-0596>)
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package ingredients updated to version 0.3.9 with previous version 0.3.3 dated 2019-05-01

Title: Effects and Importances of Model Ingredients
Description: Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependency() for partial dependency plots, conditional_dependency() for conditional dependency plots, accumulated_dependency() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [aut], Adam Izdebski [aut], Katarzyna Pekala [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ingredients versions 0.3.3 dated 2019-05-01 and 0.3.9 dated 2019-08-26

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Package iBreakDown updated to version 0.9.9 with previous version 0.9.6 dated 2019-04-30

Title: Model Agnostic Instance Level Variable Attributions
Description: Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>, with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) <arXiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre], Alicja Gosiewska [aut], Hubert Baniecki [aut], Adam Izdebski [aut], Dariusz Komosinski [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package GMMAT updated to version 1.1.1 with previous version 1.1.0 dated 2019-05-22

Title: Generalized Linear Mixed Model Association Tests
Description: Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <DOI:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <DOI:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets.
Author: Han Chen, Matthew P. Conomos
Maintainer: Han Chen <Han.Chen.2@uth.tmc.edu>

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New package geohashTools with initial version 0.2.4
Package: geohashTools
Version: 0.2.4
Title: Tools for Working with Geohashes
Author: Michael Chirico, Hiroaki Kawai
Maintainer: Michael Chirico <MichaelChirico4@gmail.com>
Depends: R (>= 3.0.0)
Description: Tools for working with Gustavo Niemeyer's geohash coordinate system, ported to R from Hiroaki Kawai's 'Python' implementation and embellished to sit naturally in the R ecosystem.
URL: https://github.com/MichaelChirico/geohashTools
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.0)
Suggests: rgdal, sf, sp, testthat, mockery
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2019-08-26 14:27:40 UTC; michael.chirico
Repository: CRAN
Date/Publication: 2019-08-26 22:30:09 UTC

More information about geohashTools at CRAN
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New package fusedest with initial version 1.2
Package: fusedest
Type: Package
Title: Block Splitting Algorithm for Estimation with Fused Penalty Functions
Version: 1.2
Date: 2019-08-21
Author: Tso-Jung Yen
Maintainer: Tso-Jung Yen <tjyen@stat.sinica.edu.tw>
Description: Provides methods fusedest_normal() and fusedest_logit() for carrying out block splitting algorithms for fused penalty estimation.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: Rcpp, methods, Matrix, parallel, igraph, stats
Depends:
LinkingTo: Rcpp, RcppEigen
SystemRequirements: C++11
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-08-26 12:47:01 UTC; tjyen
Repository: CRAN
Date/Publication: 2019-08-26 22:40:07 UTC

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Package HMP updated to version 2.0 with previous version 1.6 dated 2018-10-31

Title: Hypothesis Testing and Power Calculations for Comparing Metagenomic Samples from HMP
Description: Using Dirichlet-Multinomial distribution to provide several functions for formal hypothesis testing, power and sample size calculations for human microbiome experiments.
Author: Patricio S. La Rosa, Elena Deych, Sharina Carter, Berkley Shands, Dake Yang, William D. Shannon
Maintainer: Berkley Shands <rpackages@biorankings.com>

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Package truelies updated to version 0.2.0 with previous version 0.1.0 dated 2019-06-28

Title: Bayesian Methods to Estimate the Proportion of Liars in Coin Flip Experiments
Description: Implements Bayesian methods, described in Hugh-Jones (2019) <doi:10.1007/s40881-019-00069-x>, for estimating the proportion of liars in coin flip-style experiments, where subjects report a random outcome and are paid for reporting a "good" outcome.
Author: David Hugh-Jones <davidhughjones@gmail.com>
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Package PMwR updated to version 0.12-0 with previous version 0.11-1 dated 2019-06-03

Title: Portfolio Management with R
Description: Functions and examples for 'Portfolio Management with R': backtesting investment and trading strategies, computing profit/loss and returns, analysing trades, handling lists of transactions, reporting, and more.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package LBSPR updated to version 0.1.4 with previous version 0.1.3 dated 2019-03-12

Title: Length-Based Spawning Potential Ratio
Description: Simulate expected equilibrium length composition, yield-per-recruit, and the spawning potential ratio (SPR) using the length-based SPR (LBSPR) model. Fit the LBSPR model to length data to estimate selectivity, relative apical fishing mortality, and the spawning potential ratio for data-limited fisheries. See Hordyk et al (2016) <doi:10.1139/cjfas-2015-0422> for more information about the LBSPR assessment method.
Author: Adrian Hordyk [aut, cre]
Maintainer: Adrian Hordyk <ar.hordyk@gmail.com>

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Package rotasym updated to version 1.0-6 with previous version 1.0-5 dated 2019-05-15

Title: Tests for Rotational Symmetry on the Hypersphere
Description: Implementation of the tests for rotational symmetry on the hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2019) <arXiv:1706.05030>. The package also implements the proposed distributions on the hypersphere, based on the tangent-normal decomposition, and allows for the replication of the data application considered in the paper.
Author: Eduardo García-Portugués [aut, cre], Davy Paindaveine [aut], Thomas Verdebout [aut]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>

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Package lingtypology updated to version 1.0.14 with previous version 1.0.13 dated 2018-06-14

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <http://glottolog.org> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <http://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://ropensci.github.io/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz
Maintainer: George Moroz <agricolamz@gmail.com>

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Package inspectdf updated to version 0.0.5 with previous version 0.0.4 dated 2019-07-27

Title: Inspection, Comparison and Visualisation of Data Frames
Description: A collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.
Author: Alastair Rushworth [aut, cre], David Wilkins [ctb]
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

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Package pkgbuild updated to version 1.0.5 with previous version 1.0.4 dated 2019-08-05

Title: Find Tools Needed to Build R Packages
Description: Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], RStudio [cph]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package sleepwalk updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-04

Title: Interactively Explore Dimension-Reduced Embeddings
Description: A tool to interactively explore the embeddings created by dimension reduction methods such as Principal Components Analysis (PCA), Multidimensional Scaling (MDS), T-distributed Stochastic Neighbour Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP) or any other.
Author: Svetlana Ovchinnikova [aut, cre], Simon Anders [aut]
Maintainer: Svetlana Ovchinnikova <s.ovchinnikova@zmbh.uni-heidelberg.de>

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Package SimComp updated to version 3.3 with previous version 3.2 dated 2017-07-31

Title: Simultaneous Comparisons for Multiple Endpoints
Description: Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011 <doi:10.2202/1557-4679.1258>) or ratios (Hasler and Hothorn, 2012 <doi:10.1080/19466315.2011.633868>) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008 <doi:10.1002/bimj.200710466>) or covariance matrices (Hasler, 2014 <doi:10.1515/ijb-2012-0015>).
Author: Mario Hasler, Christof Kluss
Maintainer: Mario Hasler <hasler@email.uni-kiel.de>

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Package funModeling updated to version 1.9 with previous version 1.8 dated 2019-08-01

Title: Exploratory Data Analysis and Data Preparation Tool-Box Book
Description: Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Author: Pablo Casas [aut, cre]
Maintainer: Pablo Casas <pcasas.biz@gmail.com>

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Package cmsaf updated to version 2.0.1 with previous version 1.9.5 dated 2019-02-06

Title: Tools for CM SAF NetCDF Data
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsaf' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. The 'cmsaf' R-package is tested for CM SAF NetCDF data. Other CF conform NetCDF data should be applicable, but there is no guarantee for an error-free application. The 'cmsaf' R-package includes a 'shiny' based interface for an easy application of the 'cmsaf' package operators and the preparation and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>

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Package mlr3learners updated to version 0.1.2 with previous version 0.1.1 dated 2019-08-05

Title: Recommended Learners for 'mlr3'
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Quay Au [aut] (<https://orcid.org/0000-0002-5252-8902>), Stefan Coors [aut] (<https://orcid.org/0000-0002-7465-2146>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3learners versions 0.1.1 dated 2019-08-05 and 0.1.2 dated 2019-08-26

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More information about mlr3learners at CRAN
Permanent link

Package mlr3db updated to version 0.1.2 with previous version 0.1.1 dated 2019-08-01

Title: Data Base Backend for 'mlr3'
Description: Extends the 'mlr3' package with a backend to transparently work with data bases. Internally relies on the abstraction of package 'dbplyr' to interact with one of the many supported data base management systems (DBMS).
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3db versions 0.1.1 dated 2019-08-01 and 0.1.2 dated 2019-08-26

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Package gprofiler2 updated to version 0.1.6 with previous version 0.1.5 dated 2019-07-04

Title: Interface to the 'g:Profiler' Toolset
Description: A toolset for functional enrichment analysis and visualization, gene/protein/SNP identifier conversion and mapping orthologous genes across species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler>). The main tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier conversion across various namespaces; (3) 'g:Orth' - orthology search across species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome positions, genes and variant effects This package is an R interface corresponding to the 2019 update of 'g:Profiler' and provides access to 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.
Author: Liis Kolberg <liis.kolberg@ut.ee>, Uku Raudvere <uku.raudvere@ut.ee>
Maintainer: Liis Kolberg <liis.kolberg@ut.ee>

Diff between gprofiler2 versions 0.1.5 dated 2019-07-04 and 0.1.6 dated 2019-08-26

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Package dextergui updated to version 0.2.0 with previous version 0.1.6 dated 2019-03-06

Title: A Graphical User Interface for Dexter
Description: Classical Test and Item analysis, Item Response analysis and data management for educational and psychological tests.
Author: jesse koops [aut, cre], Eva de Schipper [aut], Ivailo Partchev [aut, ctb], Gunter Maris [aut, ctb], Timo Bechger [aut, ctb], Gareth Watts [aut, cph] (author of jquery.sparkline), Hakim El Hattab [aut, cph] (author of zoom.js)
Maintainer: jesse koops <jesse.koops@cito.nl>

Diff between dextergui versions 0.1.6 dated 2019-03-06 and 0.2.0 dated 2019-08-26

 dextergui-0.1.6/dextergui/R/color.R                 |only
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Package wyz.code.testthat (with last version 1.1.5) was removed from CRAN

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

2019-08-05 1.1.5

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New package visit with initial version 2.1
Package: visit
Title: Phase I Dose Escalation Study Design for Vaccines
Version: 2.1
Author: Zilu Wang [aut, cre] Chenguang Wang [aut, cre] Gary L Rosner [aut] Richard BS Roden [aut] Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
Description: A Bayesian Phase I cancer vaccine trial design is implemented in this package. The design allows simultaneous evaluation of safety and immunogenicity outcomes in the context of vaccine studies. See Wang (2019) <DOI:10.1002/sim.8021> for the details of the Phase I cancer vaccine trial design.
Depends: methods, R (>= 3.5.0), rstan (>= 2.19.2), Rcpp (>= 1.0.2)
License: GPL (>= 3)
LinkingTo: BH (>= 1.69.0-1), Rcpp (>= 1.0.2), rstan (>= 2.14), RcppEigen (>= 0.3.3.5.0), StanHeaders (>= 2.18.1-10)
RcppModules: stan_fit4visit_mod
Imports: sqldf (>= 0.4), parallel (>= 3.2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
SystemRequirements: GNU make
NeedsCompilation: yes
Suggests: knitr, shiny, rmarkdown, pander, xtable
VignetteBuilder: knitr
Packaged: 2019-08-25 15:49:33 UTC; cwang68
Repository: CRAN
Date/Publication: 2019-08-26 09:30:02 UTC

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New package pstest with initial version 0.1.3.900
Package: pstest
Type: Package
Title: Specification Tests for Parametric Propensity Score Models
Version: 0.1.3.900
Author: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>, Xiaojun Song <sxj@gsm.pku.edu.cn>
Maintainer: Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Description: The propensity score is one of the most widely used tools in studying the causal effect of a treatment, intervention, or policy. Given that the propensity score is usually unknown, it has to be estimated, implying that the reliability of many treatment effect estimators depends on the correct specification of the (parametric) propensity score. This package implements the data-driven nonparametric diagnostic tools for detecting propensity score misspecification proposed by Sant'Anna and Song (2019) <doi:10.1016/j.jeconom.2019.02.002>.
URL: https://github.com/pedrohcgs/pstest
Depends: R (>= 3.1)
Imports: stats, parallel, glmx, MASS, utils
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1.9000
Date: 2019-08-25 10:45
NeedsCompilation: no
Packaged: 2019-08-25 15:40:05 UTC; santanph
Repository: CRAN
Date/Publication: 2019-08-26 09:30:05 UTC

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New package pmdplyr with initial version 0.3.0
Package: pmdplyr
Type: Package
Title: 'dplyr' Extension for Common Panel Data Maneuvers
Version: 0.3.0
Authors@R: c( person(given = "Nick", family = "Huntington-Klein", role = c("aut","cre"), email = "nhuntington-klein@fullerton.edu", comment = c(ORCID = "0000-0002-7352-3991")), person("Philip", "Khor", role = "aut", email = "pk.qa@outlook.com", comment = c(ORCID = "0000-0002-8333-1256")))
Description: Using the 'dplyr' package as a base, adds a family of functions designed to make manipulating panel data easier. Allows the addition of indexing variables to a tibble to create a pibble, and the manipulation of data based on those indexing variables.
License: MIT + file LICENSE
URL: https://nickch-k.github.io/pmdplyr, https://github.com/NickCH-K/pmdplyr
BugReports: https://github.com/NickCH-K/pmdplyr/issues
Copyright: file COPYRIGHTS
Encoding: UTF-8
Depends: R (>= 3.4), dplyr (>= 0.7.0)
Imports: lubridate, magrittr, pillar, tidyr, tibble, tidyselect, utils, vctrs, rlang (>= 0.4.0)
Suggests: tsibble, plm, panelr, sjlabelled, knitr, rmarkdown, testthat (>= 2.1.0), covr
RoxygenNote: 6.1.1
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2019-08-20 04:01:46 UTC; Philip
Author: Nick Huntington-Klein [aut, cre] (<https://orcid.org/0000-0002-7352-3991>), Philip Khor [aut] (<https://orcid.org/0000-0002-8333-1256>)
Maintainer: Nick Huntington-Klein <nhuntington-klein@fullerton.edu>
Repository: CRAN
Date/Publication: 2019-08-26 09:50:02 UTC

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New package parameters with initial version 0.1.0
Package: parameters
Type: Package
Title: Processing of Model Parameters
Version: 0.1.0
Authors@R: c( person("Dominique", "Makowski", email = "dom.makowski@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5375-9967")), person("Daniel", "Lüdecke", role = c("aut"), email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206")), person("Mattan S.", "Ben-Shachar", role = c("aut"), email = "matanshm@post.bgu.ac.il", comment = c(ORCID = "0000-0002-4287-4801")), person("Ken", "Kelley", role = c("ctb")), person("David", "Stanley", role = c("ctb")) )
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like standardization or bootstrapping of parameters and models, feature reduction (feature extraction and variable selection) as well as conversion between indices of effect size.
Depends: R (>= 3.0), stats, utils
Imports: insight (>= 0.4.1), bayestestR (>= 0.2.5), tools
Suggests: BayesFM, BayesFactor, boot, brms, cAIC4, covr, dplyr, EGAnet (>= 0.7), knitr, lavaan, lme4, lmerTest, logspline, MASS, MuMIn, nFactors, pbkrtest, psych, projpred, randomForest, rmarkdown, rstanarm, see, survey, testthat, VGAM
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-24 22:27:49 UTC; Dom
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Ken Kelley [ctb], David Stanley [ctb]
Repository: CRAN
Date/Publication: 2019-08-26 08:30:03 UTC

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Package oceanmap updated to version 0.1.0.1 with previous version 0.1.0 dated 2018-05-26

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

Diff between oceanmap versions 0.1.0 dated 2018-05-26 and 0.1.0.1 dated 2019-08-26

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Package magick updated to version 2.2 with previous version 2.1 dated 2019-07-25

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between magick versions 2.1 dated 2019-07-25 and 2.2 dated 2019-08-26

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Package KATforDCEMRI updated to version 1.0.1 with previous version 1.0 dated 2019-03-05

Title: Kinetic Analysis and Visualization of DCE-MRI Data
Description: Provides kinetic analysis of Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) data. Includes tools for fitting the Tofts (described in Tofts, Kermode (1991) <DOI:10.1002/mrm.1910170208>) and extended Tofts (described in Tofts et al. (1999) <https://www.ncbi.nlm.nih.gov/pubmed/10508281>) mathematical models to dynamic (signal vs. time) data associated with each voxel of an image and a Graphical User Inferface (GUI) for visualization and exploration of fitted model parameters over the volume of the image.
Author: Gregory Z. Ferl [aut, cre], Georges Hankov [aut]
Maintainer: Gregory Z. Ferl <ferl.gregory@gene.com>

Diff between KATforDCEMRI versions 1.0 dated 2019-03-05 and 1.0.1 dated 2019-08-26

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Package epoc updated to version 0.2.6-1.1 with previous version 0.2.6-1 dated 2018-11-29

Title: Endogenous Perturbation Analysis of Cancer
Description: Estimates sparse matrices A or G using fast lasso regression from mRNA transcript levels Y and CNA profiles U. Two models are provided, EPoC A where AY + U + R = 0 and EPoC G where Y = GU + E, the matrices R and E are so far treated as noise. For details see the manual page of 'lassoshooting' and the article Rebecka Jörnsten, Tobias Abenius, Teresia Kling, Linnéa Schmidt, Erik Johansson, Torbjörn E M Nordling, Bodil Nordlander, Chris Sander, Peter Gennemark, Keiko Funa, Björn Nilsson, Linda Lindahl, Sven Nelander (2011) <doi:10.1038/msb.2011.17>.
Author: Rebecka Jornsten, Tobias Abenius, Sven Nelander
Maintainer: Tobias Abenius <Tobias.Abenius@Chalmers.se>

Diff between epoc versions 0.2.6-1 dated 2018-11-29 and 0.2.6-1.1 dated 2019-08-26

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Package dispRity updated to version 1.3 with previous version 1.2.3 dated 2019-03-13

Title: Measuring Disparity
Description: A modular package for measuring disparity from multidimensional matrices. Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics (Guillerme (2018) <doi:10.1111/2041-210X.13022>). The package also provides functions for looking at disparity in a serial way (e.g. disparity through time - Guillerme and Cooper (2018) <doi:10.1111/pala.12364>) or per groups as well as visualising the results. Finally, this package provides several basic statistical tests for disparity analysis.
Author: Thomas Guillerme [aut, cre, cph], Mark N Puttick [aut, cph]
Maintainer: Thomas Guillerme <guillert@tcd.ie>

Diff between dispRity versions 1.2.3 dated 2019-03-13 and 1.3 dated 2019-08-26

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Package BCEA updated to version 2.3-1.1 with previous version 2.3-1 dated 2019-08-05

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.
Author: Gianluca Baio, Andrea Berardi, Anna Heath
Maintainer: Gianluca Baio <gianluca@stats.ucl.ac.uk>

Diff between BCEA versions 2.3-1 dated 2019-08-05 and 2.3-1.1 dated 2019-08-26

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Package chron updated to version 2.3-54 with previous version 2.3-53 dated 2018-09-09

Title: Chronological Objects which can Handle Dates and Times
Description: Provides chronological objects which can handle dates and times.
Author: David James [aut] (S original), Kurt Hornik [aut, trl, cre] (<https://orcid.org/0000-0003-4198-9911>), Gabor Grothendieck [ctb], R Core Team [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between chron versions 2.3-53 dated 2018-09-09 and 2.3-54 dated 2019-08-26

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Package hagis updated to version 3.0.0 with previous version 2.0.0 dated 2019-06-24

Title: Analysis of Plant Pathogen Pathotype Complexities, Distributions and Diversity
Description: Analysis of plant pathogen pathotype survey data. Functions provided calculate distribution of susceptibilities, distribution of complexities with statistics, pathotype frequency distribution, as well as diversity indices for pathotypes. This package is meant to be a direct replacement for Herrmann, Löwer, Schachtel's (1999) <doi:10.1046/j.1365-3059.1999.00325.x> Habgood-Gilmour Spreadsheet, 'HaGiS', previously used for pathotype analysis.
Author: Austin G. McCoy [aut, ccp] (<https://orcid.org/0000-0003-2483-4184>), Zachary Noel [aut, ccp] (<https://orcid.org/0000-0001-6375-8300>), Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Martin Chilvers [aut] (<https://orcid.org/0000-0001-8832-1666>), Zhian N. Kamvar [ctb, rev] (<https://orcid.org/0000-0003-1458-7108>), Michigan Soybean Promotion Committee [fnd], Project GREEEN [fnd], North Central Soybean Research Program [fnd], GRDC Project DAQ00186 [fnd]
Maintainer: Adam H. Sparks <adam.sparks@usq.edu.au>

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Package epimdr updated to version 0.6-4 with previous version 0.6-3 dated 2019-05-03

Title: Functions and Data for "Epidemics: Models and Data in R"
Description: Functions, data sets and shiny apps for "Epidemics: Models and Data in R" by Ottar N. Bjornstad (ISBN 978-3-319-97487-3) <https://www.springer.com/gp/book/9783319974866>. The package contains functions to study the S(E)IR model, spatial and age-structured SIR models; time-series SIR and chain-binomial stochastic models; catalytic disease models; coupled map lattice models of spatial transmission and network models for social spread of infection. The package is also an advanced quantitative companion to the coursera Epidemics Massive Online Open Course <https://www.coursera.org/learn/epidemics>.
Author: Ottar N. Bjornstad [aut, cre]
Maintainer: Ottar N. Bjornstad <onb1@psu.edu>

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Package cansim updated to version 0.3.2 with previous version 0.3.1 dated 2019-08-19

Title: Accessing Statistics Canada Data Table and Vectors
Description: Searches for, accesses, and retrieves new-format and old-format Statistics Canada data tables, as well as individual vectors, as tidy data frames. This package deals with encoding issues, allows for bilingual English or French language data retrieval, and bundles convenience functions to make it easier to work with retrieved table data. Optional caching features are provided.
Author: Jens von Bergmann [cre], Dmitry Shkolnik [aut]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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