Mon, 25 Mar 2019

Package tryCatchLog updated to version 1.1.4 with previous version 1.1.2 dated 2019-03-20

Title: Advanced 'tryCatch()' and 'try()' Functions
Description: Advanced tryCatch() and try() functions for better error handling (logging, stack trace with source code references and support for post-mortem analysis via dump files).
Author: Juergen Altfeld [aut, cre, cph], Charles Epaillard [ctb]
Maintainer: Juergen Altfeld <jaltfeld@altfeld-im.de>

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Package dataRetrieval updated to version 2.7.4 with previous version 2.7.3 dated 2017-09-28

Title: Retrieval Functions for USGS and EPA Hydrologic and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey (USGS) and U.S. Environmental Protection Agency (EPA) water quality and hydrology data from web services. USGS web services are discovered from National Water Information System (NWIS) <https://waterservices.usgs.gov/> and <https://waterdata.usgs.gov/nwis>. Both EPA and USGS water quality data are obtained from the Water Quality Portal <https://www.waterqualitydata.us/>.
Author: Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Carr [ctb], David Watkins [aut] (<https://orcid.org/0000-0002-7544-0700>)
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Package sommer updated to version 3.9.1 with previous version 3.8 dated 2019-01-02

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects and estimation of unknown variance-covariance structures (i.e. heterogeneous and unstructured variance models) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple known relationship matrices and estimate complex unknown covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package rhub updated to version 1.1.0 with previous version 1.0.2 dated 2017-11-02

Title: Connect to 'R-hub'
Description: Run 'R CMD check' on any of the 'R-hub' (<https://builder.r-hub.io/>) architectures, from the command line. The current architectures include 'Windows', 'macOS', 'Solaris' and various 'Linux' distributions.
Author: Gábor Csárdi [aut, cre], Maëlle Salmon [aut] (<https://orcid.org/0000-0002-2815-0399>), R Consortium [fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package nanostringr updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-15

Title: Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data
Description: Provides quality control (QC), normalization, and batch effect correction operations for 'NanoString nCounter' data, Talhouk et al. (2016) <doi:10.1371/journal.pone.0153844>. Various metrics are used to determine which samples passed or failed QC. Gene expression should first be normalized to housekeeping genes, before a reference-based approach is used to adjust for batch effects. Raw NanoString data can be imported in the form of Reporter Code Count (RCC) files.
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Samuel Leung [aut]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

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Package GetDFPData updated to version 1.5.1 with previous version 1.5 dated 2019-02-14

Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.bmfbovespa.com.br/en_us/products/listed-equities-and-derivatives/equities/listed-companies.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is specially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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New package dfConn with initial version 0.1.1
Package: dfConn
Type: Package
Title: Dynamic Functional Connectivity Analysis
Version: 0.1.1
Authors@R: c(person("Zikai", "Lin", email = "ziklin@iu.edu", role = c("aut", "cre")), person("Maria", "Kudela", email = "maria.kudela@gmail.com", role = c("aut")), person("Jaroslaw","Harezlak",email = "harezlak@iu.edu", role = c("aut")), person("Mario","Dzemidzic", email = "mdzemidz@iupui.edu", role = c("aut")))
Maintainer: Zikai Lin <ziklin@iu.edu>
Description: An implementation of multivariate linear process bootstrap (MLPB) method and sliding window technique to assess the dynamic functional connectivity (dFC) estimate by providing its confidence bands, based on Maria Kudela (2017) <doi: 10.1016/j.neuroimage.2017.01.056>. It also integrates features to visualize non-zero coverage for selected a-priori regions of interest estimated by the dynamic functional connectivity model (dFCM) and dynamic functional connectivity (dFC) curves for reward-related a-priori regions of interest where the activation-based analysis reported.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: iterators, testthat, itertools, mgcv, latex2exp
Imports: doParallel, nlme, parallel, foreach, ggplot2, fields, gplots, splines, stats, stringr, graphics, data.table, gtools, Rcpp (>= 0.12.18)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-03-25 19:38:03 UTC; ziklin
Author: Zikai Lin [aut, cre], Maria Kudela [aut], Jaroslaw Harezlak [aut], Mario Dzemidzic [aut]
Repository: CRAN
Date/Publication: 2019-03-25 22:33:20 UTC

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Package dbmss updated to version 2.7-0 with previous version 2.6-3 dated 2018-03-19

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, following Marcon, Traissac, Puech, and Lang (2015) <doi:10.18637/jss.v067.c03>. Includes classical functions (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Author: Eric Marcon [aut, cre] (<https://orcid.org/0000-0002-5249-321X>), Gabriel Lang [aut] (<https://orcid.org/0000-0002-4325-6044>), Stephane Traissac [aut], Florence Puech [aut] (<https://orcid.org/0000-0002-5279-6878>)
Maintainer: Eric Marcon <eric.marcon@ecofog.gf>

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Package DALEX updated to version 0.3.0 with previous version 0.2.7 dated 2019-03-03

Title: Descriptive mAchine Learning EXplanations
Description: Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance, but such black-box models usually lack of interpretability. DALEX package contains various explainers that help to understand the link between input variables and model output. The single_variable() explainer extracts conditional response of a model as a function of a single selected variable. It is a wrapper over packages 'pdp' (Greenwell 2017) <doi:10.32614/RJ-2017-016>, 'ALEPlot' (Apley 2018) <arXiv:1612.08468> and 'factorMerger' (Sitko and Biecek 2017) <arXiv:1709.04412>. The single_prediction() explainer attributes parts of a model prediction to particular variables used in the model. It is a wrapper over 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>. The variable_dropout() explainer calculates variable importance scores based on variable shuffling (Fisher at al. 2018) <arXiv:1801.01489>. All these explainers can be plotted with generic plot() function and compared across different models. 'DALEX' 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>)
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package arsenal updated to version 3.0.0 with previous version 2.0.0 dated 2019-01-16

Title: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries
Description: An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb], Maddie McCullough [art]
Maintainer: Ethan Heinzen <heinzen.ethan@mayo.edu>

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Package gtable updated to version 0.3.0 with previous version 0.2.0 dated 2016-02-26

Title: Arrange 'Grobs' in Tables
Description: Tools to make it easier to work with "tables" of 'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a grid along with a list of grobs and their placement in the grid. Further the package makes it easy to manipulate and combine 'gtable' objects so that complex compositions can be build up sequentially.
Author: Hadley Wickham [aut, cre], Thomas Lin Pedersen [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between gtable versions 0.2.0 dated 2016-02-26 and 0.3.0 dated 2019-03-25

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Package ems updated to version 1.2.7 with previous version 1.2.6 dated 2019-03-12

Title: Epimed Solutions Collection for Data Editing, Analysis, and Benchmark of Health Units
Description: Collection of functions for data analysis and editing of clinical and epidemiological data. Most of them are related to benchmark with prediction models.
Author: Lunna Borges [aut, cre], Pedro Brasil [aut], Camila Cardoso [aut], Caio Ferreira [aut]
Maintainer: Lunna Borges <lunna.borges@epimedsolutions.com>

Diff between ems versions 1.2.6 dated 2019-03-12 and 1.2.7 dated 2019-03-25

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Package atable updated to version 0.1.1 with previous version 0.1.0 dated 2018-09-13

Title: Create Tables for Reporting Clinical Trials
Description: Create Tables for Reporting Clinical Trials. Calculates descriptive statistics and hypothesis tests, arranges the results in a table ready for reporting with LaTeX, HTML or Word.
Author: Armin Ströbel [aut, cre]
Maintainer: Armin Ströbel <armin-michael.stroebel@dzne.de>

Diff between atable versions 0.1.0 dated 2018-09-13 and 0.1.1 dated 2019-03-25

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Package Tmisc updated to version 0.1.20 with previous version 0.1.19 dated 2018-03-20

Title: Turner Miscellaneous
Description: Miscellaneous utility functions for data manipulation, data tidying, and working with gene expression data.
Author: Stephen Turner [aut, cre] (<https://orcid.org/0000-0001-9140-9028>)
Maintainer: Stephen Turner <vustephen@gmail.com>

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Package gprofiler2 updated to version 0.1.1 with previous version 0.1.0 dated 2019-03-06

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 0.1.0 dated 2019-03-06 and 0.1.1 dated 2019-03-25

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Package clusternor updated to version 0.0-2 with previous version 0.0-1 dated 2019-03-18

Title: A Parallel Clustering Non-Uniform Memory Access ('NUMA') Optimized Package
Description: The clustering 'NUMA' Optimized Routines package or 'clusternor' is a highly optimized package for performing clustering in parallel with accelerations specifically targeting multi-core Non-Uniform Memory Access ('NUMA') hardware architectures. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns (2019) <arXiv:1902.09527>.
Author: Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph]
Maintainer: Disa Mhembere <disa@cs.jhu.edu>

Diff between clusternor versions 0.0-1 dated 2019-03-18 and 0.0-2 dated 2019-03-25

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Package SGCS updated to version 2.7 with previous version 2.6 dated 2017-04-18

Title: Spatial Graph Based Clustering Summaries for Spatial Point Patterns
Description: Graph based clustering summaries for spatial point patterns. Includes Connectivity function, Cumulative connectivity function and clustering function, plus the triangle/triplet intensity function T.
Author: Tuomas Rajala
Maintainer: Tuomas Rajala <tuomas.rajala@iki.fi>

Diff between SGCS versions 2.6 dated 2017-04-18 and 2.7 dated 2019-03-25

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Package cvcrand updated to version 0.0.4 with previous version 0.0.3 dated 2019-02-27

Title: Efficient Design and Analysis of Cluster Randomized Trials
Description: Constrained randomization by Raab and Butcher (2001) <doi:10.1002/1097-0258(20010215)20:3%3C351::AID-SIM797%3E3.0.CO;2-C> is suitable for cluster randomized trials (CRTs) with a small number of clusters (e.g., 20 or fewer). The procedure of constrained randomization is based on the baseline values of some cluster-level covariates specified. The intervention effect on the individual outcome can then be analyzed through clustered permutation test introduced by Gail, et al. (1996) <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1069::AID-SIM220%3E3.0.CO;2-Q>. Motivated from Li, et al. (2016) <doi:10.1002/sim.7410>, the package performs constrained randomization on the baseline values of cluster-level covariates and cluster permutation test on the individual-level outcome for cluster randomized trials.
Author: Hengshi Yu [aut, cre], Fan Li [aut], John A. Gallis [aut], Elizabeth L. Turner [aut]
Maintainer: Hengshi Yu <hengshi@umich.edu>

Diff between cvcrand versions 0.0.3 dated 2019-02-27 and 0.0.4 dated 2019-03-25

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Package tcR updated to version 2.2.4 with previous version 2.2.3 dated 2019-01-07

Title: Advanced Data Analysis of Immune Receptor Repertoires
Description: Platform for the advanced analysis of T cell receptor and Immunoglobulin repertoires data and visualisation of the analysis results.
Author: Vadim Nazarov
Maintainer: Vadim Nazarov <vdm.nazarov@gmail.com>

Diff between tcR versions 2.2.3 dated 2019-01-07 and 2.2.4 dated 2019-03-25

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Package PSGExpress updated to version 3.1.2 with previous version 3.1.1 dated 2019-03-21

Title: Portfolio Safeguard: Optimization, Statistics and Risk Management
Description: Solves optimization, advanced statistics, and risk management problems. Popular nonlinear functions in financial, statistical, and logistics applications are pre-coded (e.g., Standard Deviation, Entropy, Expected Shortfall (ES), Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), Probability of Exceedance (POE), Buffered Probability of Exceedance (bPOE), Partial Moment (PM), Drawdown, Mean-Squared Error, see, the list <http://www.aorda.com/html/PSG_Help_HTML/index.html?function.htm> ). 'PSGExpress' is the 'Portfolio Safeguard (PSG)' freeware version with the number of variables in functions less or equal to 10, see <http://www.aorda.com>.
Author: Stan Uryasev [aut, cre, cph], Grigoriy Zrazhevsky [aut], Viktor Kuzmenko [aut], Alex Zrazhevsky [aut]
Maintainer: Stan Uryasev <stan.uryasev@aorda.com>

Diff between PSGExpress versions 3.1.1 dated 2019-03-21 and 3.1.2 dated 2019-03-25

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New package lgr with initial version 0.2.1
Type: Package
Package: lgr
Title: A Fully Featured Logging Framework
Version: 0.2.1
Authors@R: person(given = "Stefan", family = "Fleck", role = c("aut", "cre"), email = "stefan.b.fleck@gmail.com", comment = c(ORCID = "0000-0003-3344-9851"))
Maintainer: Stefan Fleck <stefan.b.fleck@gmail.com>
Description: A flexible, feature-rich yet light-weight logging framework based on 'R6' classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, 'JSON', memory buffers, and databases, as well as email and push notifications. For a full list of features with examples please refer to the package vignette.
License: MIT + file LICENSE
URL: https://github.com/s-fleck/lgr
BugReports: https://github.com/s-fleck/lgr/issues
Imports: R6 (>= 2.4.0)
Suggests: covr, crayon, data.table, DBI, desc, future, future.apply, glue, gmailr, jsonlite, knitr, rmarkdown, sendmailR, RSQLite, RMariaDB, RPostgres, RMySQL, RPostgreSQL, rprojroot, testthat, tibble, tools, utils, whoami, yaml
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'Filterable.R' 'utils-sfmisc.R' 'utils.R' 'Appender.R' 'Filter.R' 'log_levels.R' 'print_LogEvent.R' 'Layout.R' 'LogEvent.R' 'Logger.R' 'default_functions.R' 'get_logger.R' 'lgr-package.R' 'logger_config.R' 'print_Logger.R' 'read_json_log.R' 'simple_logging.R' 'test.R' 'use_logger.R' 'utils-formatting.R' 'utils-logging.R' 'utils-rd.R'
NeedsCompilation: no
Packaged: 2019-03-25 11:46:20 UTC; fleck
Author: Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>)
Repository: CRAN
Date/Publication: 2019-03-25 15:40:03 UTC

More information about lgr at CRAN
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Package JMbayes updated to version 0.8-83 with previous version 0.8-82 dated 2019-03-20

Title: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach
Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data using MCMC; Dimitris Rizopoulos (2016) <doi:10.18637/jss.v072.i07>.
Author: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between JMbayes versions 0.8-82 dated 2019-03-20 and 0.8-83 dated 2019-03-25

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Package dataPreparation updated to version 0.4.0 with previous version 0.3.9 dated 2019-01-02

Title: Automated Data Preparation
Description: Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.
Author: Emmanuel-Lin Toulemonde [aut, cre]
Maintainer: Emmanuel-Lin Toulemonde <el.toulemonde@protonmail.com>

Diff between dataPreparation versions 0.3.9 dated 2019-01-02 and 0.4.0 dated 2019-03-25

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Package BTLLasso updated to version 0.1-10 with previous version 0.1-9 dated 2019-03-06

Title: Modelling Heterogeneity in Paired Comparison Data
Description: Performs 'BTLLasso' as described by Schauberger and Tutz (2019) <doi:10.18637/jss.v088.i09> and Schauberger and Tutz (2017) <doi:10.1177/1471082X17693086>. BTLLasso is a method to include different types of variables in paired comparison models and, therefore, to allow for heterogeneity between subjects. Variables can be subject-specific, object-specific and subject-object-specific and can have an influence on the attractiveness/strength of the objects. Suitable L1 penalty terms are used to cluster certain effects and to reduce the complexity of the models.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@tum.de>

Diff between BTLLasso versions 0.1-9 dated 2019-03-06 and 0.1-10 dated 2019-03-25

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Package doremi updated to version 0.1.1 with previous version 0.1.0 dated 2018-08-30

Title: Dynamics of Return to Equilibrium During Multiple Inputs
Description: Provides models to fit the dynamics of a regulated system experiencing exogenous inputs. The underlying models use differential equations and linear mixed-effects regressions to estimate the characteristic parameters of the equation (the coefficients) and an estimated signal. The package also provides print, summary, plot and predict functions, specific for the models outputs.
Author: Mongin Denis [aut], Uribe Adriana [aut], Courvoisier Delphine [aut], Courvoisier Delphine [cre]
Maintainer: Courvoisier Delphine <Delphine.Courvoisier@hcuge.ch>

Diff between doremi versions 0.1.0 dated 2018-08-30 and 0.1.1 dated 2019-03-25

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Package geneHummus (with last version 1.0.0) was removed from CRAN

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

2019-03-25 1.0.0

Permanent link
New package dydea with initial version 0.1.0
Package: dydea
Type: Package
Title: Detection of Chaotic and Regular Intervals in the Data
Version: 0.1.0
Authors@R: person("Radek", "Halfar", email = "radek.halfar@vsb.cz", role = c("aut", "cre"))
Description: Finds regular and chaotic intervals in the data using the 0-1 test for chaos proposed by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Imports: Chaos01
RoxygenNote: 6.1.1
Packaged: 2019-03-22 12:14:11 UTC; radek
Author: Radek Halfar [aut, cre]
Maintainer: Radek Halfar <radek.halfar@vsb.cz>
Repository: CRAN
Date/Publication: 2019-03-25 11:00:03 UTC

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Package sybilccFBA updated to version 3.0.0 with previous version 2.0.0 dated 2015-04-02

Title: Cost Constrained Flux Balance Analysis (ccFBA): MetabOlic Modeling with ENzyme kineTics (MOMENT)
Description: Different techniques of cost constrained flux balance analysis. 1- MetabOlic Modeling with ENzyme kineTics 'MOMENT' which uses enzyme kinetic data and enzyme molecular weights to constrain flux balance analysis(FBA) and it is described in Adadi, R., Volkmer, B., Milo, R., Heinemann, M., & Shlomi, T. (2012). Prediction of Microbial Growth Rate versus Biomass Yield by a Metabolic Network with Kinetic Parameters, 8(7). <doi:10.1371/journal.pcbi.1002575>. 2- an improvement of 'MOMENT' that considers multi-functional enzymes 'ccFBA'. Described in Desouki, Abdelmoneim. Algorithms for improving the predictive power of flux balance analysis. PhD dissertation, 2016. FBA is a mathematical technique to find fluxes in metabolic models at steady state. It is described in Orth, J.D., Thiele, I. and Palsson, B.O. What is flux balance analysis? Nat. Biotech. 28, 245-248(2010).
Author: Abdelmoneim Amer Desouki [aut, cre]
Maintainer: Abdelmoneim Amer Desouki <abdelmoneim.amer@uni-duesseldorf.de>

Diff between sybilccFBA versions 2.0.0 dated 2015-04-02 and 3.0.0 dated 2019-03-25

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New package latte with initial version 0.2.1
Package: latte
Type: Package
Title: Interface to 'LattE' and '4ti2'
Version: 0.2.1
Authors@R: c(person("David", "Kahle", email = "david@kahle.io", role = c("aut", "cph", "cre"), comment = c(ORCID = "0000-0002-9999-1558")), person("Luis", "Garcia",email = "lgarcia@shsu.edu", role = c("aut", "cph")), person("Ruriko", "Yoshida", email = "ryoshida@nps.edu", role = c("aut", "cph")))
Maintainer: David Kahle <david@kahle.io>
Description: Back-end connections to 'LattE' (<https://www.math.ucdavis.edu/~latte>) for counting lattice points and integration inside convex polytopes and '4ti2' (<http://www.4ti2.de/>) for algebraic, geometric, and combinatorial problems on linear spaces and front-end tools facilitating their use in the 'R' ecosystem.
License: GPL-2
URL: https://github.com/dkahle/latte
BugReports: https://github.com/dkahle/latte/issues
LazyData: TRUE
SystemRequirements: LattE <https://www.math.ucdavis.edu/~latte/>, 4ti2 <http://www.4ti2.de/>
Imports: magrittr, stringr, mpoly, ggplot2, memoise, dplyr, usethis, glue
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-03-22 00:34:52 UTC; david_kahle
Author: David Kahle [aut, cph, cre] (<https://orcid.org/0000-0002-9999-1558>), Luis Garcia [aut, cph], Ruriko Yoshida [aut, cph]
Repository: CRAN
Date/Publication: 2019-03-25 10:50:03 UTC

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Package Directional updated to version 3.6 with previous version 3.4 dated 2018-11-12

Title: Directional Statistics
Description: A collection of functions for directional data analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>.
Author: Michail Tsagris, Giorgos Athineou, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@yahoo.gr>

Diff between Directional versions 3.4 dated 2018-11-12 and 3.6 dated 2019-03-25

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New package quiddich with initial version 1.0.0
Package: quiddich
Type: Package
Title: QUick IDentification of DIagnostic CHaracters
Version: 1.0.0
Date: 2019-03-21
Author: A. Luise Kuehn
Maintainer: A. Luise Kuehn <luise.kuehn@uni-greifswald.de>
Description: Provides tools for an automated identification of diagnostic molecular characters, i.e. such columns in a given nucleotide or amino acid alignment that allow to distinguish taxa from each other. These characters can then be used to complement the formal descriptions of the taxa, which are often based on morphological and anatomical features. Especially for morphologically cryptic species, this will be helpful. QUIDDICH distinguishes between four different types of diagnostic characters. For more information, see "Kuehn, A.L., Haase, M. 2019. QUIDDICH: QUick IDentification of DIagnostic CHaracters."
Depends: ape(>= 5.2), R(>= 0.12.0)
Suggests: spider, adegenet
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-21 10:19:35 UTC; Luise
Repository: CRAN
Date/Publication: 2019-03-25 09:30:03 UTC

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Package gsl updated to version 2.1-6 with previous version 2.1-5 dated 2019-03-15

Title: Wrapper for the Gnu Scientific Library
Description: An R wrapper for some of the functionality of the Gnu Scientific Library.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>), Andrew Clausen [ctb] (multimin functionality), Duncan Murdoch [ctb] (qrng functions)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between gsl versions 2.1-5 dated 2019-03-15 and 2.1-6 dated 2019-03-25

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Package ggdmc updated to version 0.2.5.7 with previous version 0.2.5.6 dated 2019-03-22

Title: Cognitive Models
Description: Hierarchical Bayesian models. The package provides tools to fit two popular response time models, using population-based Markov Chain Monte Carlo (pMCMC). The paper by Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2018, <doi:10.3758/s13428-018-1067-y>) describes the prototype of the package.
Author: Yi-Shin Lin [aut, cre], Andrew Heathcote [aut]
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>

Diff between ggdmc versions 0.2.5.6 dated 2019-03-22 and 0.2.5.7 dated 2019-03-25

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New package geneHummus with initial version 1.0.0
Package: geneHummus
Title: A Pipeline to Define Gene Families in Legumes and Beyond
Version: 1.0.0
Authors@R: c( person("Jose V.", "Die", email = "jose.die@uco.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7506-8590")), person("Moamen M.", "Elmassry", email = "moamen.elmassry@ttu.edu", role = c("aut")), person("Kimberly H.", "LeBlanc", email = "kimberly.leblanc@nih.gov", role = c("aut")), person("Olaitan I.", "Awe", email = "laitanawe@gmail.com", role = c("aut")), person("Allissa","Dillman", email = "Allissa.Dillman@nih.gov", role = c("aut")), person("Ben", "Busby", email = "Ben.Busby@nih.gov", role = c("aut")))
Description: A pipeline with high specificity and sensitivity in extracting proteins from the RefSeq database (National Center for Biotechnology Information). Manual identification of gene families is highly time-consuming and laborious, requiring an iterative process of manual and computational analysis to identify members of a given family. The pipelines implements an automatic approach for the identification of gene families based on the conserved domains that specifically define that family. See Die et al. (2017) <doi:10.1101/436659> for more information and examples.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rentrez, stringr, dplyr, httr, utils
Suggests: knitr, rmarkdown
RoxygenNote: 6.1.1
URL: https://github.com/NCBI-Hackathons/GeneHummus
NeedsCompilation: no
Packaged: 2019-03-20 17:41:05 UTC; josedie
Author: Jose V. Die [aut, cre] (<https://orcid.org/0000-0002-7506-8590>), Moamen M. Elmassry [aut], Kimberly H. LeBlanc [aut], Olaitan I. Awe [aut], Allissa Dillman [aut], Ben Busby [aut]
Maintainer: Jose V. Die <jose.die@uco.es>
Repository: CRAN
Date/Publication: 2019-03-25 09:10:07 UTC

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New package encryptr with initial version 0.1.2
Package: encryptr
Type: Package
Title: Easily Encrypt and Decrypt Data Frame or Tibble Columns using RSA Public/Private Keys
Version: 0.1.2
Authors@R: c( person(given = "Cameron", family = "Fairfield", role = c("aut"), email = "cameron.fairfield@ed.ac.uk"), person(given = "Riinu", family = "Ots", role = c("aut")), person(given = "Stephen", family = "Knight", role = c("aut")), person(given = "Tom", family = "Drake", role = c("aut")), person(given = "Ewen", family = "Harrison", role = c("aut", "cre"), email = "ewen.harrison@ed.ac.uk") )
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>
Description: It is important to ensure that sensitive data is protected. This straightforward package is aimed at the end-user. Strong RSA encryption using a public/private key pair is used to encrypt data frame or tibble columns. A public key can be shared to allow others to encrypt data to be sent to you. This is particularly aimed a healthcare settings so patient data can be pseudonymised.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/SurgicalInformatics/encryptr/issues
URL: https://github.com/SurgicalInformatics/encryptr
Imports: dplyr, knitr, openssl, purrr, readr, rlang
RoxygenNote: 6.1.0
Suggests: testthat, withr
NeedsCompilation: no
Packaged: 2019-03-21 10:20:41 UTC; eharrison
Author: Cameron Fairfield [aut], Riinu Ots [aut], Stephen Knight [aut], Tom Drake [aut], Ewen Harrison [aut, cre]
Repository: CRAN
Date/Publication: 2019-03-25 09:40:03 UTC

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New package clustcurv with initial version 1.0.0
Package: clustcurv
Type: Package
Title: Determining Groups in Multiples Curves
URL: https://github.com/noramvillanueva/clustcurv
BugReports: http://github.com/noramvillanueva/clustcurv/issues
Version: 1.0.0
Date: 2019-03-15
Maintainer: Nora M. Villanueva <nmvillanueva@uvigo.es>
Authors@R: c(person("Nora", "M. Villanueva",email= "nmvillanueva@uvigo.es", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8085-2745")), person("Marta", "Sestelo",email= "sestelo@uvigo.es", role = "aut"))
Description: A method for determining groups in multiple survival curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) <doi:10.1002/sim.8016>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: doParallel, foreach, ggplot2, ggfortify, doRNG, Gmedian, survival, wesanderson
Suggests: testthat, usethis, condSURV
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-20 18:34:47 UTC; nora
Author: Nora M. Villanueva [aut, cre] (<https://orcid.org/0000-0001-8085-2745>), Marta Sestelo [aut]
Repository: CRAN
Date/Publication: 2019-03-25 09:23:23 UTC

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Package rankFD (with last version 0.0.1) was removed from CRAN

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

2016-06-28 0.0.1
2016-05-03 0.0.0.2

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Package blockingChallenge (with last version 1.0) was removed from CRAN

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2018-09-21 1.0

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Package MCDA (with last version 0.0.19) was removed from CRAN

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2018-03-16 0.0.19
2017-12-20 0.0.18
2017-09-08 0.0.17
2017-01-14 0.0.16
2017-01-09 0.0.15
2016-12-16 0.0.14
2016-10-26 0.0.13
2015-11-05 0.0.12
2015-08-26 0.0.11
2015-06-16 0.0.10
2015-01-08 0.0.8
2014-12-09 0.0.7
2014-09-04 0.0.6
2013-12-11 0.0.3
2013-11-29 0.0.1

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Package shar updated to version 0.3 with previous version 0.2 dated 2019-02-06

Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the location of the species is needed and about the environmental conditions. To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>)
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>

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Package gginnards updated to version 0.0.2 with previous version 0.0.1 dated 2018-07-13

Title: Explore the Innards of 'ggplot2' Objects
Description: Extensions to 'ggplot2' providing low-level debug tools: statistics and geometries reporting data passed to compute_group() and compute_panel() functions and to geometries. Layer manipulation: functions for deletion, insertion, extraction and reordering of layers of "ggplot" objects. Data manipulation: function for deletion of unused variables from the data object embedded in "ggplot" objects.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package CopulaREMADA updated to version 1.3 with previous version 1.2 dated 2019-02-08

Title: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
Description: The bivariate copula mixed model for meta-analysis of diagnostic test accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595>. The vine copula mixed model for meta-analysis of diagnostic test accuracy studies accounting for disease prevalence in Nikoloulopoulos (2017) <doi:10.1177/0962280215596769> and also accounting for non-evaluable subjects in Nikoloulopoulos (2018) <arXiv:1812.03685>. The hybrid vine copula mixed model for meta-analysis of diagnostic test accuracy case-control and cohort studies in Nikoloulopoulos (2018) <doi:10.1177/0962280216682376>. The D-vine copula mixed model for meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos (2018) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic tests with non-evaluable subjects in Nikoloulopoulos (2018) <arXiv:1812.05915>.
Author: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>

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Package SemNetDictionaries (with last version 0.1.0) was removed from CRAN

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2019-03-24 0.1.0

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Package lgr (with last version 0.2.0) was removed from CRAN

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2019-03-22 0.2.0
2019-02-22 0.1.1

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Package dfConn (with last version 0.1.0) was removed from CRAN

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2019-03-23 0.1.0

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Package QTLRel updated to version 1.1 with previous version 1.0 dated 2018-01-10

Title: Tools for Mapping of Quantitative Traits of Genetically Related Individuals and Calculating Identity Coefficients from Pedigrees
Description: This software provides tools for quantitative trait mapping in populations such as advanced intercross lines where relatedness among individuals should not be ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform a genome scan for putative quantitative trait loci (QTL), and plot mapping results. It also has functions to calculate identity coefficients from pedigrees, especially suitable for pedigrees that consist of a large number of generations, or estimate identity coefficients from genotypic data in certain circumstances.
Author: Riyan Cheng [aut, cre]
Maintainer: Riyan Cheng <riyancheng@hotmail.com>

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Package Copula.Markov updated to version 2.4 with previous version 2.3 dated 2019-01-15

Title: Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series
Description: Estimation and statistical process control are performed under copula-based time-series models. Available are statistical methods in Long and Emura (2014 JCSA), Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>, Huang and Emura(2019, in revision) and Huang, Chen and Emura (2019-, in revision).
Author: Takeshi Emura, Xinwei Huang, Weiru Chen, Ting-Hsuan Long
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

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