Thu, 01 Apr 2021

Package tsBSS updated to version 0.5.7 with previous version 0.5.6 dated 2020-11-18

Title: Blind Source Separation and Supervised Dimension Reduction for Time Series
Description: Different estimators are provided to solve the blind source separation problem for multivariate time series with stochastic volatility (Matilainen, Nordhausen and Oja (2015) <doi:10.1016/j.spl.2015.04.033>; Matilainen, Miettinen, Nordhausen, Oja and Taskinen (2017) <doi:10.17713/ajs.v46i3-4.671>) and supervised dimension reduction problem for multivariate time series (Matilainen, Croux, Nordhausen and Oja (2017) <doi:10.1016/j.ecosta.2017.04.002>). Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace.
Author: Markus Matilainen [cre, aut] (<https://orcid.org/0000-0002-5597-2670>), Christophe Croux [aut], Jari Miettinen [aut] (<https://orcid.org/0000-0002-3270-7014>), Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut], Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>), Joni Virta [aut] (<https://orcid.org/0000-0002-2150-2769>)
Maintainer: Markus Matilainen <markus.matilainen@outlook.com>

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Package rmcorr updated to version 0.4.3 with previous version 0.4.2 dated 2021-03-30

Title: Repeated Measures Correlation
Description: Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.
Author: Jonathan Z. Bakdash, Laura R. Marusich
Maintainer: Laura R. Marusich <laura.m.cooper20.civ@mail.mil>

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Package RcmdrPlugin.UCA updated to version 4.4-2 with previous version 4.3-4 dated 2021-03-01

Title: UCA Rcmdr Plug-in
Description: Some extensions to Rcmdr (R Commander), randomness test, variance test for one normal sample and predictions using active model, made by R-UCA project and used in teaching statistics at University of Cadiz (UCA).
Author: Manuel Munoz-Marquez <manuel.munoz@uca.es>
Maintainer: Manuel Munoz-Marquez <manuel.munoz@uca.es>

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Package PSweight updated to version 1.1.4 with previous version 1.1.3 dated 2021-02-25

Title: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Description: Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.
Author: Tianhui Zhou [aut, cre], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut]
Maintainer: Tianhui Zhou <tianhui.zhou@duke.edu>

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New package rbiorxiv with initial version 0.2.1
Package: rbiorxiv
Title: Client for the 'bioRxiv' API
Version: 0.2.1
Authors@R: c(person("Nicholas", "Fraser", email = "nicholasmfraser@gmail.com", role = c("aut", "cre")))
Description: R client for interacting with the 'bioRxiv' API <https://api.biorxiv.org/>. Functions include retrieving metadata of 'bioRxiv' and 'medRxiv' preprints, details of published papers associated with preprints, and summary and usage statistics.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/nicholasmfraser/rbiorxiv
BugReports: https://github.com/nicholasmfraser/rbiorxiv/issues
Imports: httr (>= 1.4.0), jsonlite (>= 1.6.0), curl (>= 4.3)
Suggests: spelling, testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-01 14:46:36 UTC; Fraser Nicholas
Author: Nicholas Fraser [aut, cre]
Maintainer: Nicholas Fraser <nicholasmfraser@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 22:00:03 UTC

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Package microbial updated to version 0.0.19 with previous version 0.0.18 dated 2021-03-31

Title: Do 16s Data Analysis and Generate Figures
Description: Provides functions to enhance the available statistical analysis procedures in R by providing simple functions to analysis and visualize the 16S rRNA data.Here we present a tutorial with minimum working examples to demonstrate usage and dependencies.
Author: Kai Guo [aut, cre], Pan Gao [aut]
Maintainer: Kai Guo <guokai8@gmail.com>

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Package LAWBL updated to version 1.4.0 with previous version 1.3.0 dated 2020-11-03

Title: Latent (Variable) Analysis with Bayesian Learning
Description: A variety of models to analyze latent variables based on Bayesian learning: the partially CFA (Chen, Guo, Zhang, & Pan, 2020) <DOI: 10.1037/met0000293>; generalized PCFA; partially confirmatory IRM (Chen, 2020) <DOI: 10.1007/s11336-020-09724-3>; Bayesian regularized EFA <DOI: 10.1080/10705511.2020.1854763>; Fully and partially EFA.
Author: Jinsong Chen [aut, cre, cph]
Maintainer: Jinsong Chen <jinsong.chen@live.com>

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Package gh updated to version 1.2.1 with previous version 1.2.0 dated 2020-11-27

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gábor Csárdi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package EValue updated to version 4.1.2 with previous version 4.1.1 dated 2021-01-04

Title: Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses
Description: Conducts sensitivity analyses for unmeasured confounding, selection bias, and measurement error (individually or in combination; VanderWeele & Ding (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019) <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019) <doi:10.1093/aje/kwz133>; Smith & VanderWeele (2021) <arXiv:2005.02908>). Also conducts sensitivity analyses for unmeasured confounding in meta-analyses (Mathur & VanderWeele (2020a) <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b) <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect modification (Mathur et al., under review).
Author: Maya B. Mathur [cre, aut], Louisa H. Smith [aut], Peng Ding [aut], Tyler J. VanderWeele [aut]
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

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Package diversityForest updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-29

Title: Complex Split Procedures in Random Forests Through Candidate Split Sampling
Description: Implements interaction forests [1], which are specific diversity forests, and the basic form of diversity forests that uses univariable, binary splitting [2]. Interaction forests (IFs) are ensembles of decision trees that model quantitative and qualitative interaction effects using bivariable splitting. IFs come with the Effect Importance Measure (EIM), which can be used to identify variable pairs that feature quantitative and qualitative interaction effects with high predictive relevance. IFs and EIM focus on well interpretable forms of interactions. The package also offers plot functions for visualising the estimated forms of interaction effects. Categorical, metric, and survival outcomes are supported. This is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. References: [1] Hornung, R. & Boulesteix, A.-L. (2021) Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Technical Report No. 237, Department of Statistics, University of Munich [2] Hornung, R. (2020) Diversity Forests: Using split sampling to allow for complex split procedures in random forest. Technical Report No. 234, Department of Statistics, University of Munich.
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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New package ecb with initial version 0.4.0
Package: ecb
Title: Programmatic Access to the European Central Bank's Statistical Data Warehouse
Version: 0.4.0
Date: 2021-04-01
Authors@R: person("Eric", "Persson", email = "expersso5@gmail.com", role = c("aut", "cre"))
Description: Provides an interface to the European Central Bank's Statistical Data Warehouse API, allowing for programmatic retrieval of a vast quantity of statistical data.
License: CC0
URL: https://sdw.ecb.europa.eu/
Suggests: knitr, rmarkdown, dplyr, lubridate, ggplot2, testthat, zoo
Imports: curl, rsdmx, xml2, httr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-01 19:56:50 UTC; persson
Author: Eric Persson [aut, cre]
Maintainer: Eric Persson <expersso5@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 21:30:06 UTC

More information about ecb at CRAN
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Package deepdive updated to version 1.0.2 with previous version 1.0.1 dated 2020-03-26

Title: Deep Learning for General Purpose
Description: Aims to provide simple intuitive functions to create quick prototypes of artificial neural network or deep learning models. In addition novel ensemble models like 'deeptree' and 'deepforest' has been included which combines decision trees and neural network.
Author: Rajesh Balakrishnan
Maintainer: Rajesh Balakirshnan <rajeshbalakrishnan24@gmail.com>

Diff between deepdive versions 1.0.1 dated 2020-03-26 and 1.0.2 dated 2021-04-01

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Package samc updated to version 1.3.0 with previous version 1.2.1 dated 2020-11-02

Title: Spatial Absorbing Markov Chains
Description: Implements functions for working with absorbing Markov chains. The implementation is based on the framework described in "Toward a unified framework for connectivity that disentangles movement and mortality in space and time" by Fletcher et al. (2019) <doi:10.1111/ele.13333>, which applies them to spatial ecology. This framework incorporates both resistance and absorption with spatial absorbing Markov chains (SAMC) to provide several short-term and long-term predictions for metrics related to connectivity in landscapes. Despite the ecological context of the framework, this package can be used in any application of absorbing Markov chains.
Author: Andrew Marx [aut, cre, cph] (<https://orcid.org/0000-0002-7456-1631>), Robert Fletcher [ctb] (<https://orcid.org/0000-0003-1717-5707>), Miguel Acevedo [ctb] (<https://orcid.org/0000-0002-8289-1497>), Jorge Sefair [ctb] (<https://orcid.org/0000-0002-5887-8938>), Chao Wang [ctb] (<https://orcid.org/0000-0003-2706-5122>)
Maintainer: Andrew Marx <andrewjmarx@ufl.edu>

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Package marqLevAlg updated to version 2.0.5 with previous version 2.0.4 dated 2020-09-12

Title: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
Description: This algorithm provides a numerical solution to the problem of unconstrained local minimization (or maximization). It is particularly suited for complex problems and more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives. See Philipps et al, 2020 <arXiv:2009.03840>.
Author: Viviane Philipps, Cecile Proust-Lima, Melanie Prague, Boris Hejblum, Daniel Commenges, Amadou Diakite
Maintainer: Viviane Philipps <viviane.philipps@u-bordeaux.fr>

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Package DET updated to version 3.0.0 with previous version 2.0.2 dated 2020-03-29

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9@um.es>

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Package cocktailApp updated to version 0.2.2 with previous version 0.2.1 dated 2019-07-02

Title: 'shiny' App to Discover Cocktails
Description: A 'shiny' app to discover cocktails. The app allows one to search for cocktails by ingredient, filter on rating, and number of ingredients. The package also contains data with the ingredients of nearly 26 thousand cocktails scraped from the web.
Author: Steven E. Pav [aut, cre] (<https://orcid.org/0000-0002-4197-6195>)
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between cocktailApp versions 0.2.1 dated 2019-07-02 and 0.2.2 dated 2021-04-01

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Package backbone updated to version 1.4.0 with previous version 1.3.1 dated 2021-02-16

Title: Extracts the Backbone from Weighted Graphs
Description: Provides methods for extracting from a weighted graph a binary or signed backbone that retains only the significant edges. The user may input a weighted graph, or a bipartite graph from which a weighted graph is first constructed via projection. Backbone extraction methods include the stochastic degree sequence model (Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>), hypergeometric model (Neal, Z. (2013). <doi:10.1007/s13278-013-0107-y>), the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>), fixed column model, fixed fill model, as well as a universal threshold method.
Author: Rachel Domagalski [aut, cre], Zachary Neal [aut], Bruce Sagan [aut]
Maintainer: Rachel Domagalski <domagal9@msu.edu>

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Package smcfcs updated to version 1.5.0 with previous version 1.4.2 dated 2020-12-07

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Claus Thorn Ekstrøm [ctb], Edouard F. Bonneville [ctb]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

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Package remotes updated to version 2.3.0 with previous version 2.2.0 dated 2020-07-21

Title: R Package Installation from Remote Repositories, Including 'GitHub'
Description: Download and install R packages stored in 'GitHub', 'GitLab', 'Bitbucket', 'Bioconductor', or plain 'subversion' or 'git' repositories. This package provides the 'install_*' functions in 'devtools'. Indeed most of the code was copied over from 'devtools'.
Author: Jim Hester [aut, cre], Gábor Csárdi [aut], Hadley Wickham [aut], Winston Chang [aut], RStudio [cph], Martin Morgan [aut], Dan Tenenbaum [aut], Mango Solutions [cph]
Maintainer: Jim Hester <jim.hester@rstudio.com>

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Package muhaz updated to version 1.2.6.3 with previous version 1.2.6.2 dated 2021-03-29

Title: Hazard Function Estimation in Survival Analysis
Description: Produces a smooth estimate of the hazard function for censored data.
Author: S original by Kenneth Hess, R port by R. Gentleman
Maintainer: David Winsemius <dwinsemius@comcast.net>

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Package mrbayes updated to version 0.3.0 with previous version 0.2.0 dated 2020-05-28

Title: Bayesian Summary Data Models for Mendelian Randomization Studies
Description: Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.
Author: Okezie Uche-Ikonne [aut, cre] (<https://orcid.org/0000-0002-8461-8099>), Frank Dondelinger [aut] (<https://orcid.org/0000-0003-1816-6300>), Tom Palmer [aut] (<https://orcid.org/0000-0003-4655-4511>)
Maintainer: Okezie Uche-Ikonne <o.uche-ikonne@lancaster.ac.uk>

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Package WriteXLS updated to version 6.3.0 with previous version 6.2.0 dated 2021-02-22

Title: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files
Description: Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX) files from one or more data frames. Each data frame will be written to a separate named worksheet in the Excel spreadsheet. The worksheet name will be the name of the data frame it contains or can be specified by the user.
Author: Marc Schwartz <marc_schwartz@me.com> and various authors for Perl modules listed in each .pm file.
Maintainer: Marc Schwartz <marc_schwartz@me.com>

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Package PDE updated to version 1.2.1 with previous version 1.1.2 dated 2020-11-26

Title: Extract Tables and Sentences from PDFs with User Interface
Description: The PDE (Pdf Data Extractor) allows the extraction of information and tables optionally based on search words from PDF (Portable Document Format) files and enables the visualization of the results, both by providing a convenient user-interface.
Author: Erik Stricker [aut, cre]
Maintainer: Erik Stricker <erik.stricker@gmx.com>

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Package bootImpute updated to version 1.2.0 with previous version 1.1.0 dated 2020-07-10

Title: Bootstrap Inference for Multiple Imputation
Description: Bootstraps and imputes incomplete datasets. Then performs inference on estimates obtained from analysing the imputed datasets as proposed by von Hippel and Bartlett (2019) <arXiv:1210.0870v10>.
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between bootImpute versions 1.1.0 dated 2020-07-10 and 1.2.0 dated 2021-04-01

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Package berryFunctions updated to version 1.20.1 with previous version 1.19.1 dated 2020-06-06

Title: Function Collection Related to Plotting and Hydrology
Description: Draw horizontal histograms, color scattered points by 3rd dimension, enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, fit multiple functions.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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 berryFunctions-1.20.1/berryFunctions/man/unitHydrograph.Rd                |    9 
 97 files changed, 933 insertions(+), 863 deletions(-)

More information about berryFunctions at CRAN
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Package httpgd updated to version 1.1.0 with previous version 1.0.1 dated 2021-01-21

Title: A 'HTTP' Server Graphics Device
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves 'SVG' graphics via 'HTTP' and 'WebSockets'.
Author: Florian Rupprecht [aut, cre] (<https://orcid.org/0000-0002-1795-8624>), Kun Ren [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [cph] (Author of included svglite code), Lionel Henry [cph] (Author of included svglite code), Thomas Lin Pedersen [cph] (Author and creator of included svglite code), T Jake Luciani [cph] (Author of included svglite code), Matthieu Decorde [cph] (Author of included svglite code), Vaudor Lise [cph] (Author of included svglite code), Tony Plate [cph] (Contributor to included svglite code), David Gohel [cph] (Contributor to included svglite code), Yixuan Qiu [cph] (Contributor to included svglite code), Håkon Malmedal [cph] (Contributor to included svglite code), RStudio [cph] (Copyright holder of included svglite code), Brett Robinson [cph] (Author of included belle library), Google [cph] (Copyright holder of included material design icons), Victor Zverovich [cph] (Author of included fmt library)
Maintainer: Florian Rupprecht <floruppr@gmail.com>

Diff between httpgd versions 1.0.1 dated 2021-01-21 and 1.1.0 dated 2021-04-01

 DESCRIPTION                        |   14 
 MD5                                |   86 -
 NAMESPACE                          |    1 
 NEWS.md                            |   12 
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 README.md                          |   94 -
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 src/DrawData.cpp                   |  860 +++++++---------
 src/DrawData.h                     |  330 +++---
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 tests/testthat/test-svglite-rect.R |    6 
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 47 files changed, 4728 insertions(+), 2394 deletions(-)

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Package chromoMap updated to version 0.3.1 with previous version 0.3 dated 2021-01-13

Title: Interactive Genomic Visualization of Biological Data
Description: Provides interactive, configurable and elegant graphics visualization of the chromosomes or chromosome regions of any living organism allowing users to map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It introduces a special plot viz. the "chromosome heatmap" that, in addition to mapping elements, can visualize the data associated with chromosome elements (like gene expression) in the form of heat colors which can be highly advantageous in the scientific interpretations and research work. Because of the large size of the chromosomes, it is impractical to visualize each element on the same plot. However, the plot provides a magnified view for each of chromosome locus to render additional information and visualization specific for that location. You can map thousands of genes and can view all mappings easily. Users can investigate the detailed information about the mappings (like gene names or total genes mapped on a location) or can view the magnified single or double stranded view of the chromosome at a location showing each mapped element in sequential order. The package provide multiple features like visualizing multiple sets, chromosome heat-maps, group annotations, adding hyperlinks, and labelling. The plots can be saved as HTML documents that can be customized and shared easily. In addition, you can include them in R Markdown or in R 'Shiny' applications.
Author: Lakshay Anand [aut, cre]
Maintainer: Lakshay Anand <lakshayanand15@gmail.com>

Diff between chromoMap versions 0.3 dated 2021-01-13 and 0.3.1 dated 2021-04-01

 DESCRIPTION                                         |    6 
 MD5                                                 |   29 
 NAMESPACE                                           |    2 
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 inst/doc/chromoMap.R                                |  254 ++++
 inst/doc/chromoMap.Rmd                              |  395 +++++++
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 inst/htmlwidgets/chromoMap.js                       |   10 
 inst/htmlwidgets/lib/chromoMap-3.0/chromoMap-3.0.js |  630 +++++++++++
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 20 files changed, 3052 insertions(+), 222 deletions(-)

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New package bbdetection with initial version 1.0
Package: bbdetection
Title: Identification of Bull and Bear States of the Market
Version: 1.0
Author: Valeriy Zakamulin
Maintainer: Valeriy Zakamulin <valeriz@uia.no>
Description: Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan and Sossounov (2002, <doi:10.1002/jae.664>) and the algorithm of Lunde and Timmermann (2004, <doi:10.1198/073500104000000136>). The package also contains functions for printing out the dating of the Bull and Bear states of the market, the descriptive statistics of the states, and functions for plotting the results. For the sake of convenience, the package includes the monthly and daily data on the prices (not adjusted for dividends) of the S&P 500 stock market index.
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0)
Imports: Rcpp (>= 0.12.5), zoo, xtable, ggplot2
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-03-31 13:28:32 UTC; Denis
Repository: CRAN
Date/Publication: 2021-04-01 14:30:09 UTC

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New package relevance with initial version 1.1
Package: relevance
Title: Calculate Relevance
Version: 1.1
Date: 2021-03-11
Author: Werner A. Stahel
Maintainer: Werner A. Stahel <stahel@stat.math.ethz.ch>
Depends: R (>= 3.5.0)
Imports: stats, utils
Suggests: MASS, survival, knitr
VignetteBuilder: knitr
Description: Calculates relevance and significance values for simple models and for many types of regression models. These are introduced in 'Stahel, Werner A.' (2021) "New relevance and significance measures to replace p-values." <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>.
License: GPL-2
NeedsCompilation: no
Packaged: 2021-03-31 11:54:59 UTC; stahel
Repository: CRAN
Date/Publication: 2021-04-01 14:00:02 UTC

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Package NetOrigin updated to version 1.1-2 with previous version 1.0-3 dated 2018-04-19

Title: Origin Estimation for Propagation Processes on Complex Networks
Description: Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.
Author: Juliane Manitz [aut, cre], Jonas Harbering [ctb], Jun Li [ctb]
Maintainer: Juliane Manitz <r@manitz.org>

Diff between NetOrigin versions 1.0-3 dated 2018-04-19 and 1.1-2 dated 2021-04-01

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 NetOrigin-1.1-2/NetOrigin/man/read_DB_data.Rd                |   43 
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 35 files changed, 2316 insertions(+), 2133 deletions(-)

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New package mapping with initial version 1.0
Package: mapping
Version: 1.0
Date: 2021-03-29
Title: Automatic Download, Linking, Manipulating Coordinates for Maps
Description: Maps are an important tool to visualise variables distribution across different spatial object. The mapping process require to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of mapping workflow of different geographical statistical unit.Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions.provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.
Authors@R: c(person("Alessio", "Serafini", role = c("aut", "cre"), email = "srf.alessio@gmail.com"), person("Giancarlo", "Ferrara", role = c("aut"), email = "giancarlo.ferrara@gmail.com"))
Depends: R (>= 3.5)
Imports: tmap (>= 2.3-2), cartography (>= 2.3.0), graphics(>= 3.6.1), ggplot2 (>= 3.2.1), rgdal(>= 1.4-8), sf(>= 0.8-1), utils, stats, dplyr(>= 0.8.3), leaflet(>= 2.0.3), tmaptools(>= 2.0-2), viridisLite(>= 0.3.0), grid(>= 3.6.1), httr(>= 1.4.1), curl(>= 4.3), htmltools(>= 0.5.0), leafpop(>= 0.0.5), leafsync(>= 0.1.0), mapview(>= 2.7.8), geojsonio(>= 0.9.2), jsonlite(>= 1.7.1), stringr(>= 1.4.0)
Suggests: knitr (>= 1.8), DiagrammeR(>= 1.0.6.1), rmarkdown
Repository: CRAN
URL: https://github.com/serafinialessio/mapping
BugReports: https://github.com/serafinialessio/mapping/issues
LazyData: yes
LazyDataCompression: xy
Encoding: UTF-8
VignetteBuilder: knitr
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-03-31 11:16:51 UTC; alessioserafini
Author: Alessio Serafini [aut, cre], Giancarlo Ferrara [aut]
Maintainer: Alessio Serafini <srf.alessio@gmail.com>
Date/Publication: 2021-04-01 14:00:05 UTC

More information about mapping at CRAN
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New package ChineseNames with initial version 1.0.0
Package: ChineseNames
Title: Chinese Name Database 1930-2008
Version: 1.0.0
Date: 2021-03-30
Authors@R: c(person(given = "Han-Wu-Shuang", family = "Bao", role = c("aut", "cre"), email = "baohws@foxmail.com"))
Author: Han-Wu-Shuang Bao [aut, cre]
Maintainer: Han-Wu-Shuang Bao <baohws@foxmail.com>
Description: A database of Chinese surnames and Chinese given names (1930-2008). This database contains nationwide frequency statistics of 1,806 Chinese surnames and 2,614 Chinese characters used in given names, covering about 1.2 billion Han Chinese population (96.8% of the Han Chinese household-registered population born from 1930 to 2008 and still alive in 2008). This package also contains a function for computing multiple features of Chinese surnames and Chinese given names for scientific research (e.g., name uniqueness, name gender, name valence, and name warmth/competence).
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/psychbruce/ChineseNames
BugReports: https://github.com/psychbruce/ChineseNames/issues
Depends: R (>= 3.6.0)
Imports: bruceR, data.table
Suggests: babynames, dplyr
NeedsCompilation: no
Packaged: 2021-03-31 08:30:11 UTC; Bruce
Repository: CRAN
Date/Publication: 2021-04-01 13:30:02 UTC

More information about ChineseNames at CRAN
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Package sigminer updated to version 2.0.0 with previous version 1.2.5 dated 2021-02-19

Title: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2020) <DOI:10.1101/2020.04.27.20082404> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Ziyu Tao [aut] (<https://orcid.org/0000-0003-3272-1227>), Huimin Li [aut] (<https://orcid.org/0000-0003-1683-9057>), Tao Wu [aut] (<https://orcid.org/0000-0002-8999-9628>), Xue-Song Liu [aut, ctb] (<https://orcid.org/0000-0002-7736-0077>), Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between sigminer versions 1.2.5 dated 2021-02-19 and 2.0.0 dated 2021-04-01

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 sigminer-2.0.0/sigminer/R/get_reconstructed_similarity.R          |   45 +
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 sigminer-2.0.0/sigminer/R/get_sig_cancer_type_index.R             |   12 
 sigminer-2.0.0/sigminer/R/get_sig_db.R                            |   54 ++
 sigminer-2.0.0/sigminer/R/get_sig_feature_association.R           |    2 
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 sigminer-2.0.0/sigminer/R/get_sv.R                                |  130 ++---
 sigminer-2.0.0/sigminer/R/group_enrichment.R                      |    1 
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 sigminer-2.0.0/sigminer/R/output.R                                |    9 
 sigminer-2.0.0/sigminer/R/read_vcf.R                              |   27 -
 sigminer-2.0.0/sigminer/R/show_catalogue.R                        |   21 
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 sigminer-2.0.0/sigminer/R/show_cn_group_profile.R                 |    6 
 sigminer-2.0.0/sigminer/R/show_group_enrichment.R                 |   83 ++-
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 sigminer-2.0.0/sigminer/R/sig_estimate.R                          |  260 +++++++++-
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 sigminer-2.0.0/sigminer/R/sigminer.R                              |    1 
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 sigminer-2.0.0/sigminer/R/zzz.R                                   |    2 
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 sigminer-2.0.0/sigminer/man/get_sig_similarity.Rd                 |    7 
 sigminer-2.0.0/sigminer/man/read_sv_as_rs.Rd                      |   14 
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 69 files changed, 1047 insertions(+), 1148 deletions(-)

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New package ProcData with initial version 0.3.2
Package: ProcData
Title: Process Data Analysis
Version: 0.3.2
Date: 2021-03-24
Authors@R: c( person("Xueying", "Tang", email = "xueyingtang1989@gmail.com", role = c("aut", "cre")), person("Susu", "Zhang", email = "susu.zhang1992@gmail.com", role = c("aut")), person("Zhi", "Wang", email = "zhiwpku@gmail.com", role=c("aut")), person("Jingchen", "Liu", email = "jcliu@stat.columbia.edu", role=c("aut")), person("Zhiliang", "Ying", email = "zying@stat.columbia.edu", role=c("aut")))
Description: Provides tools for exploratory process data analysis. Process data refers to the data describing participants' problem-solving processes in computer-based assessments. It is often recorded in computer log files. This package provides functions to read, process, and write process data. It also implements two feature extraction methods to compress the information stored in process data into standard numerical vectors. This package also provides recurrent neural network based models that relate response processes with other binary or scale variables of interest. The functions that involve training and evaluating neural networks are wrappers of functions in 'keras'.
BugReports: https://github.com/xytangtang/ProcData/issues
License: GPL (>= 2)
Depends: R (>= 3.5)
Imports: Rcpp (>= 0.12.16), keras (>= 2.2.4)
LinkingTo: Rcpp
SystemRequirements: Python (>= 2.7), Keras (>= 2.0), TensorFlow (>= 1.13)
LazyData: true
NeedsCompilation: yes
Packaged: 2021-03-25 05:31:36 UTC; xueyingtang
Author: Xueying Tang [aut, cre], Susu Zhang [aut], Zhi Wang [aut], Jingchen Liu [aut], Zhiliang Ying [aut]
Maintainer: Xueying Tang <xueyingtang1989@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 12:50:09 UTC

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New package mockcpp with initial version 0.0.1
Package: mockcpp
Title: Mocking in C++ with 'testthat'
Version: 0.0.1
Authors@R: c( person( given = "Giovanni", family = "Charles", role = c('aut', 'cre'), email = 'giovanni.charles@gmail.com' ), person( given = "Imperial College of Science, Technology and Medicine", family = "", role = c('cph'), email = 'giovanni.charles10@imperial.ac.uk' ), person( given = "Björn", family = "Fahller", role = c('cph'), email = 'bjorn@fahller.se' ))
Description: A header only library integrating 'testthat' with 'trompeoeil' to provide mocking for C++ code in R packages. Mocking is a technique for making a fake version of a software service. You can mock services to test that your code interacts correctly with external interfaces, to make your tests deterministic, or to break your tests down into smaller units. 'testthat' provides a testing framework for R and C++ code in R packages. 'trompeoeil' is a C++ header only library for mocking.
License: MIT + file LICENSE | BSL-1.0
Encoding: UTF-8
Imports: testthat (>= 2.1.0)
LinkingTo: testthat
Suggests: knitr, rmarkdown, Rcpp, cpp11, pkgload, decor
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-03-30 16:59:42 UTC; root
Author: Giovanni Charles [aut, cre], Imperial College of Science, Technology and Medicine [cph], Björn Fahller [cph]
Maintainer: Giovanni Charles <giovanni.charles@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-01 13:00:02 UTC

More information about mockcpp at CRAN
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Package GetDFPData updated to version 1.6 with previous version 1.5.3 dated 2020-05-18

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.b3.com.br/pt_br/produtos-e-servicos/negociacao/renda-variavel/empresas-listadas.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>

Diff between GetDFPData versions 1.5.3 dated 2020-05-18 and 1.6 dated 2021-04-01

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Package scam updated to version 1.2-11 with previous version 1.2-10 dated 2021-02-01

Title: Shape Constrained Additive Models
Description: Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-10 dated 2021-02-01 and 1.2-11 dated 2021-04-01

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More information about scam at CRAN
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Package textutils updated to version 0.2-1 with previous version 0.2-0 dated 2020-01-07

Title: Utilities for Handling Strings and Text
Description: Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports, e.g. for expanding and aligning strings that form the lines of such reports. The package also provides generic functions for transforming R objects to HTML and to plain text.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between textutils versions 0.2-0 dated 2020-01-07 and 0.2-1 dated 2021-04-01

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More information about textutils at CRAN
Permanent link

Package sisireg updated to version 0.9.0 with previous version 0.8.1 dated 2021-01-25

Title: Sign-Simplicity-Regression-Solver
Description: Implementation of the SSR-Algorithm. The Sign-Simplicity-Regression model is a nonparametric statistical model which is based on residual signs and simplicity assumptions on the regression function. Goal is to calculate the most parsimonious regression function satisfying the statistical adequacy requirements. Theory and functions are specified in Metzner (2020, ISBN: 979-8-68239-420-3, "Trendbasierte Prognostik") and Metzner (2021, ISBN: 979-8-59347-027-0, "Adäquates Maschinelles Lernen").
Author: Lars Metzner [aut, cre]
Maintainer: Lars Metzner <lars.metzner@ppi.de>

Diff between sisireg versions 0.8.1 dated 2021-01-25 and 0.9.0 dated 2021-04-01

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Permanent link

Package NMOF updated to version 2.4-0 with previous version 2.3-1 dated 2021-01-19

Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between NMOF versions 2.3-1 dated 2021-01-19 and 2.4-0 dated 2021-04-01

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Package datetimeutils updated to version 0.5-0 with previous version 0.4-0 dated 2020-03-25

Title: Utilities for Dates and Times
Description: Utilities for handling dates and times, such as selecting particular days of the week or month, formatting timestamps as required by RSS feeds, or converting timestamp representations of other software (such as 'MATLAB' and 'Excel') to R. The package is lightweight (no dependencies, pure R implementations) and relies only on R's standard classes to represent dates and times ('Date' and 'POSIXt'); it aims to provide efficient implementations, through vectorisation and the use of R's native numeric representations of timestamps where possible.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>), Unicode, Inc. [dtc, cph] (source of timezone names in 'tznames')
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between datetimeutils versions 0.4-0 dated 2020-03-25 and 0.5-0 dated 2021-04-01

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Permanent link

Package insight updated to version 0.13.2 with previous version 0.13.1 dated 2021-02-22

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between insight versions 0.13.1 dated 2021-02-22 and 0.13.2 dated 2021-04-01

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More information about insight at CRAN
Permanent link

Package ausplotsR (with last version 1.2.3) was removed from CRAN

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

2021-03-17 1.2.3
2021-02-15 1.2.2
2020-12-17 1.2.1
2020-11-04 1.2

Permanent link
Package fungible updated to version 1.97 with previous version 1.96.3 dated 2020-06-03

Title: Psychometric Functions from the Waller Lab
Description: Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>. Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.
Author: Niels Waller [aut, cre], Jeff Jones [ctb], Casey Giordano [ctb]
Maintainer: Niels Waller <nwaller@umn.edu>

Diff between fungible versions 1.96.3 dated 2020-06-03 and 1.97 dated 2021-04-01

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Package DLMtool updated to version 6.0.1 with previous version 6.0.0 dated 2021-01-13

Title: Data-Limited Methods Toolkit
Description: A collection of data-limited management procedures that can be evaluated with management strategy evaluation with the 'MSEtool' package, or applied to fishery data to provide management recommendations.
Author: Tom Carruthers [aut], Quang Huynh [aut], Adrian Hordyk [aut, cre], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Adrian Hordyk <adrian@bluematterscience.com>

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 man/LBSPRgen.Rd     |  130 +++++++++----------
 man/Lratio_BHI.Rd   |  198 ++++++++++++++---------------
 man/LstepCC1.Rd     |  306 ++++++++++++++++++++++----------------------
 man/LstepCE1.Rd     |  210 +++++++++++++++---------------
 man/Ltarget1.Rd     |  266 +++++++++++++++++++--------------------
 man/LtargetE1.Rd    |  180 +++++++++++++-------------
 man/MCD.Rd          |  138 ++++++++++----------
 man/MRreal.Rd       |  122 ++++++++---------
 man/Rcontrol.Rd     |  216 +++++++++++++++----------------
 man/SBT1.Rd         |  238 +++++++++++++++++-----------------
 man/SPMSY.Rd        |  150 +++++++++++-----------
 man/SPSRA.Rd        |  168 ++++++++++++------------
 man/SPSRA_.Rd       |   84 ++++++------
 man/SPmod.Rd        |  162 +++++++++++------------
 man/SPslope.Rd      |  186 +++++++++++++--------------
 man/YPR.Rd          |  184 +++++++++++++--------------
 man/YPR_.Rd         |   96 +++++++-------
 man/curE.Rd         |  122 ++++++++---------
 man/demographic2.Rd |   86 ++++++------
 man/figures         |only
 man/getr.Rd         |   62 ++++-----
 man/iVB.Rd          |   42 +++---
 man/matlenlim.Rd    |  230 ++++++++++++++++-----------------
 72 files changed, 4993 insertions(+), 4947 deletions(-)

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