Thu, 24 Sep 2020

Package opencv updated to version 0.2.0 with previous version 0.1 dated 2019-04-01

Title: Bindings to 'OpenCV' Computer Vision Library
Description: Experimenting with computer vision and machine learning in R. This package exposes some of the available 'OpenCV' <https://opencv.org/> algorithms, such as edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Jan Wijffels [aut]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package sjlabelled updated to version 1.1.7 with previous version 1.1.6 dated 2020-06-25

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), David Ranzolin [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package PRIMME updated to version 3.1-2 with previous version 3.1-1 dated 2020-05-26

Title: Eigenvalues and Singular Values and Vectors from Large Matrices
Description: R interface to 'PRIMME' <http://www.cs.wm.edu/~andreas/software/>, a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix, or generalized Hermitian eigenproblem. It can also compute singular values and vectors of a square or rectangular matrix. 'PRIMME' finds largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence. General description of the methods are provided in the papers Stathopoulos (2010, <doi:10.1145/1731022.1731031>) and Wu (2017, <doi:10.1137/16M1082214>). See 'citation("PRIMME")' for details.
Author: Eloy Romero [aut, cre], Andreas Stathopoulos [aut], Lingfei Wu [aut], College of William & Mary [cph]
Maintainer: Eloy Romero <eloy@cs.wm.edu>

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Package nflfastR updated to version 3.0.0 with previous version 2.2.1 dated 2020-09-01

Title: Functions to Efficiently Access NFL Play by Play Data
Description: A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.
Author: Sebastian Carl [aut], Ben Baldwin [cre, aut], Lee Sharpe [ctb], Maksim Horowitz [ctb], Ron Yurko [ctb], Samuel Ventura [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

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Package MAINT.Data updated to version 2.5.0 with previous version 2.4.0 dated 2020-06-25

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

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Package APfun updated to version 0.1.6 with previous version 0.1.4 dated 2019-08-19

Title: Geo-Processing Helper Functions
Description: Helper tools for facilitating basic geo-processing tasks, such as reading/writing Shapefiles, merging polygons or generating terrain contours.
Author: Andrew Plowright
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

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Package scam updated to version 1.2-7 with previous version 1.2-6 dated 2020-06-10

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>

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Package SemNetCleaner updated to version 1.3.0 with previous version 1.2.0 dated 2020-06-09

Title: An Automated Cleaning Tool for Semantic and Linguistic Data
Description: Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

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

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

2020-03-16 1.0

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Package semantic.dashboard (with last version 0.1.5) was removed from CRAN

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

2020-04-07 0.1.5
2018-04-23 0.1.1

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Package ChemometricsWithR (with last version 0.1.13) was removed from CRAN

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

2019-01-07 0.1.13
2017-09-01 0.1.11
2017-08-21 0.1.10
2015-09-04 0.1.9
2014-08-04 0.1.8
2012-10-12 0.1.7
2012-01-04 0.1.5
2011-02-17 0.1.3

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Package sjPlot updated to version 2.8.5 with previous version 2.8.4 dated 2020-05-24

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Alexander Bartel [ctb] (<https://orcid.org/0000-0002-1280-6138>), Carsten Schwemmer [ctb], Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>), Amir Djalovski [ctb], Johannes Titz [ctb] (<https://orcid.org/0000-0002-1102-5719>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package psfmi updated to version 0.5.0 with previous version 0.2.0 dated 2020-02-03

Title: Prediction Model Selection and Performance Evaluation in Multiple Imputed Datasets
Description: Pooling, backward and forward selection of logistic and Cox regression models in multiply imputed datasets. Backward and forward selection can be done from the pooled model using Rubin's Rules (RR), the D1, D2, D3 and the median p-values method. This is also possible for Mixed models. The models can contain continuous, dichotomous, categorical and restricted cubic spline predictors and interaction terms between all these type of predictors. The stability of the models can be evaluated using bootstrapping and cluster bootstrapping. The package further contains functions to pool the model performance as ROC/AUC, R-squares, scaled Brier score and calibration plots for logistic regression models. Internal validation can be done with cross-validation or bootstrapping. The adjusted intercept after shrinkage of pooled regression coefficients can be obtained. Backward and forward selection as part of internal validation is possible. Also a function to externally validate logistic prediction models in multiple imputed datasets is available. Eekhout (2017) <doi:10.1186/s12874-017-0404-7>. Wiel (2009) <doi:10.1093/biostatistics/kxp011>. Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Author: Martijn Heymans [cre, aut] (<https://orcid.org/0000-0002-3889-0921>), Iris Eekhout [ctb]
Maintainer: Martijn Heymans <mw.heymans@amsterdamumc.nl>

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Package import updated to version 1.2.0 with previous version 1.1.0 dated 2015-06-21

Title: An Import Mechanism for R
Description: Alternative mechanism for importing objects from packages and R modules. The syntax allows for importing multiple objects with a single command in an expressive way. The import package bridges some of the gap between using library (or require) and direct (single-object) imports. Furthermore the imported objects are not placed in the current environment.
Author: Stefan Milton Bache [aut], Magnus Thor Torfason [aut, cre]
Maintainer: Magnus Thor Torfason <m@zulutime.net>

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Package iml updated to version 0.10.1 with previous version 0.10.0 dated 2020-03-26

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, accumulated local effects plots described by Apley (2018) <arXiv:1612.08468>, partial dependence plots described by Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Christoph Molnar [aut, cre], Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>

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Package gaston updated to version 1.5.7 with previous version 1.5.6 dated 2020-02-26

Title: Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models
Description: Manipulation of genetic data (SNPs). Computation of GRM and dominance matrix, LD, heritability with efficient algorithms for linear mixed model (AIREML). Dandine et al <doi:10.1159/000488519>.
Author: Hervé Perdry [cre, aut, cph], Claire Dandine-Roulland [aut, cph], Deepak Bandyopadhyay [cph] (C++ gzstream class), Lutz Kettner [cph] (C++ gzstream class)
Maintainer: Hervé Perdry <herve.perdry@u-psud.fr>

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Package norris (with last version 0.1.1) was removed from CRAN

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

2019-01-18 0.1.1
2018-06-12 0.1.0

Permanent link
Package prioritylasso (with last version 0.2.4) was removed from CRAN

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

2020-09-07 0.2.4
2019-12-17 0.2.3
2019-06-05 0.2.2
2017-09-25 0.2.1
2017-07-17 0.2.0
2017-03-16 0.1.0

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Package st updated to version 1.2.6 with previous version 1.2.5 dated 2015-07-08

Title: Shrinkage t Statistic and Correlation-Adjusted t-Score
Description: Implements the "shrinkage t" statistic introduced in Opgen-Rhein and Strimmer (2007) <DOI:10.2202/1544-6115.1252> and a shrinkage estimate of the "correlation-adjusted t-score" (CAT score) described in Zuber and Strimmer (2009) <DOI:10.1093/bioinformatics/btp460>. It also offers a convenient interface to a number of other regularized t-statistics commonly employed in high-dimensional case-control studies.
Author: Rainer Opgen-Rhein, Verena Zuber, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

Diff between st versions 1.2.5 dated 2015-07-08 and 1.2.6 dated 2020-09-24

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Package rprime updated to version 0.1.2 with previous version 0.1.0 dated 2015-05-29

Title: Functions for Working with 'Eprime' Text Files
Description: 'Eprime' is a set of programs for administering psychological experiments by computer. This package provides functions for loading, parsing, filtering and exporting data in the text files produced by 'Eprime' experiments.
Author: Tristan Mahr [aut, cre] (<https://orcid.org/0000-0002-8890-5116>)
Maintainer: Tristan Mahr <tristan.mahr@wisc.edu>

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Package orders updated to version 0.1.4 with previous version 0.1.3 dated 2019-05-16

Title: Sampling from Order Statistics of New Families of Distributions
Description: Set of tools to generate samples of order statistics and others quantities of interest from new families of distributions. The main references for this package are: Gentle, J. (2009), Computational Statistics, Springer-Verlag; Naradajah, S. and Rocha, R. (2016), <DOI:10.18637/jss.v069.i10> and Stasinopoulos, M. and Rigby, R. (2015), <DOI:10.1111/j.1467-9876.2005.00510.x>. The families of distributions are: Marshall Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions, beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions, exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modified beta G distributions, and exponentiated exponential Poisson G distributions, Poisson-inverse gaussian distribution, Skew normal type 1 distributions, Skew student t distribution, Sinh-Arcsinh distribution, Sichel distribution and Zero inflated Poisson.
Author: Carlos Alberto Cardozo Delgado
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package SubtypeDrug updated to version 0.1.2 with previous version 0.1.1 dated 2020-06-26

Title: Prioritization of Candidate Cancer Subtype Specific Drugs
Description: A systematic biology tool was developed to prioritize cancer subtype-specific drugs by integrating genetic perturbation, drug action, biological pathway, and cancer subtype. The capabilities of this tool include inferring patient-specific subpathway activity profiles in the context of gene expression profiles with subtype labels, calculating differentially expressed subpathways based on cultured human cells treated with drugs in the 'cMap' (connectivity map) database, prioritizing cancer subtype specific drugs according to drug-disease reverse association score based on subpathway, and visualization of results (Castelo (2013) <doi:10.1186/1471-2105-14-7>; Han et al (2019) <doi:10.1093/bioinformatics/btz894>; Lamb and Justin (2006) <DOI:10.1126/science.1132939>).
Author: Xudong Han, Junwei Han, Chonghui Liu
Maintainer: Junwei Han <hanjunwei1981@163.com>

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New package uwo4419 with initial version 0.3.0
Package: uwo4419
Type: Package
Title: UWO POLSCI 4419/9715
Version: 0.3.0
Authors@R: c(person("Dave", "Armstrong", role=c("aut", "cre"), email="dave@quantoid.net"))
Description: Supports the course Introduction to Methodology (POLSCI 4419/9715) at the University of Western Ontario.
Depends: R (>= 3.5.0)
Imports: DescTools, RColorBrewer, gmodels, haven, psych, stats, ggplot2, tibble, tidyr, dplyr, magrittr, rio
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-09-18 17:33:49 UTC; parallels
Author: Dave Armstrong [aut, cre]
Maintainer: Dave Armstrong <dave@quantoid.net>
Repository: CRAN
Date/Publication: 2020-09-24 09:10:02 UTC

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Package ScriptMapR updated to version 0.0.3 with previous version 0.0.2 dated 2020-09-21

Title: R Script Visualization in Cytoscape
Description: Displays the content of a R script into the 'Cytoscape' network-visualization app <https://cytoscape.org/>.
Author: Raphael Bonnet [aut, cre], Marion Guernoté [ctb], Terry Gouin [ctb], Maxime Laurens [ctb], Thibault Meekel [ctb], Jean-François Peyron[aut,ths]
Maintainer: Raphaël Bonnet <raphael.bonnet@univ-cotedazur.fr>

Diff between ScriptMapR versions 0.0.2 dated 2020-09-21 and 0.0.3 dated 2020-09-24

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Package roundhouse updated to version 0.0.2 with previous version 0.0.1 dated 2018-09-16

Title: Random Chuck Norris Facts
Description: R functions for generating and/or displaying random Chuck Norris facts. Based on data from the 'Internet Chuck Norris database' ('ICNDb').
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>

Diff between roundhouse versions 0.0.1 dated 2018-09-16 and 0.0.2 dated 2020-09-24

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New package panelr with initial version 0.7.4
Package: panelr
Title: Regression Models and Utilities for Repeated Measures and Panel Data
Version: 0.7.4
Authors@R: person("Jacob A.", "Long", email = "jacob.long@sc.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1582-6214"))
Description: Provides an object type and associated tools for storing and wrangling panel data. Implements several methods for creating regression models that take advantage of the unique aspects of panel data. Among other capabilities, automates the "within-between" (also known as "between-within" and "hybrid") panel regression specification that combines the desirable aspects of both fixed effects and random effects econometric models and fits them as multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell & Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated via generalized estimating equations (GEE; McNeish, 2019 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally) supported via 'Stan'. Supports estimation of asymmetric effects models via first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as a generalized linear model extension thereof using GEE.
URL: https://panelr.jacob-long.com
BugReports: https://github.com/jacob-long/panelr
Depends: R (>= 3.4.0), lme4
Imports: crayon, dplyr, Formula, ggplot2, jtools (>= 2.0.1), lmerTest, magrittr, methods, purrr, rlang (>= 0.3.0), stringr, tibble (>= 2.0.0)
Suggests: brms, broom.mixed, car, clubSandwich, geepack, generics, nlme, plm, sandwich, skimr, tidyr (>= 0.8.3), testthat, covr, knitr, rmarkdown
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-24 00:19:39 UTC; jlong
Author: Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)
Maintainer: Jacob A. Long <jacob.long@sc.edu>
Repository: CRAN
Date/Publication: 2020-09-24 09:10:08 UTC

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Package lorentz updated to version 1.0-5 with previous version 1.0-2 dated 2019-03-21

Title: The Lorentz Transform in Relativistic Physics
Description: The Lorentz transform in special relativity; also the gyrogroup structure of three-velocities. Includes active and passive transforms and the ability to use units in which the speed of light is not one. For general relativity, see the 'schwarzschild' package.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between lorentz versions 1.0-2 dated 2019-03-21 and 1.0-5 dated 2020-09-24

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New package metamisc with initial version 0.2.3
Package: metamisc
Type: Package
Title: Meta-Analysis of Diagnosis and Prognosis Research Studies
Version: 0.2.3
Date: 2020-09-23
Authors@R: c(person(given = "Thomas", family = "Debray", role = c("aut", "cre"), email = "thomas.debray@gmail.com", comment="https://orcid.org/0000-0002-1790-2719"), person(given = "Valentijn", family = "de Jong", role = "aut", email="Valentijn.M.T.de.Jong@gmail.com", comment="https://orcid.org/0000-0001-9921-3468"))
Description: Facilitate meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance, as described by Debray et al. (2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry, as described by Debray et al. (2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering.
Imports: metafor (>= 2.0.0), mvtnorm, lme4, plyr, methods, pROC, ggplot2
Depends: R (>= 3.5.0), stats, graphics
Suggests: runjags, rjags, logistf (>= 1.23), testthat (>= 1.0.2)
License: GPL-3
URL: https://r-forge.r-project.org/projects/metamisc/
RoxygenNote: 7.1.1
Author: Thomas Debray [aut, cre] (<https://orcid.org/0000-0002-1790-2719>), Valentijn de Jong [aut] (<https://orcid.org/0000-0001-9921-3468>)
Maintainer: Thomas Debray <thomas.debray@gmail.com>
Repository: CRAN
Repository/R-Forge/Project: metamisc
Repository/R-Forge/Revision: 567
Repository/R-Forge/DateTimeStamp: 2020-09-23 08:55:00
Date/Publication: 2020-09-24 09:20:02 UTC
NeedsCompilation: no
Packaged: 2020-09-23 09:08:09 UTC; rforge

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Package interval updated to version 1.1-0.7 with previous version 1.1-0.1 dated 2014-01-22

Title: Weighted Logrank Tests and NPMLE for Interval Censored Data
Description: Functions to fit nonparametric survival curves, plot them, and perform logrank or Wilcoxon type tests.
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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Package gSeg updated to version 1.0 with previous version 0.7 dated 2020-04-12

Title: Graph-Based Change-Point Detection (g-Segmentation)
Description: Using an approach based on similarity graph to estimate change-point(s) and the corresponding p-values. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.
Author: Hao Chen, Nancy R. Zhang, Lynna Chu, and Hoseung Song
Maintainer: Hao Chen <hxchen@ucdavis.edu>

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New package akmbiclust with initial version 0.1.0
Package: akmbiclust
Title: Alternating K-Means Biclustering
Version: 0.1.0
Authors@R: c( person("Zichao", "Li", role = c("aut", "cre"), email = "lizichao@live.unc.edu"), person("Nicolas", "Fraiman", role = "aut", email = "fraiman@email.unc.edu"))
Description: Implements the alternating k-means biclustering algorithm in Fraiman and Li (2020) <arXiv:2009.04550>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-09-18 17:38:42 UTC; lizichao
Author: Zichao Li [aut, cre], Nicolas Fraiman [aut]
Maintainer: Zichao Li <lizichao@live.unc.edu>
Repository: CRAN
Date/Publication: 2020-09-24 09:10:15 UTC

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Package universals updated to version 0.0.4 with previous version 0.0.3 dated 2020-07-08

Title: S3 Generics for Bayesian Analyses
Description: Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Kirill Müller [ctb] (<https://orcid.org/0000-0002-1416-3412>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between universals versions 0.0.3 dated 2020-07-08 and 0.0.4 dated 2020-09-24

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Package tsapp updated to version 1.0.2 with previous version 1.0.1 dated 2020-09-21

Title: Time Series, Analysis and Application
Description: Accompanies the book Rainer Schlittgen and Cristina Sattarhoff (2020) <https://www.degruyter.com/view/title/575978> "Angewandte Zeitreihenanalyse mit R, 4. Auflage" . The package contains the time series and functions used therein. It was developed over many years teaching courses about time series analysis.
Author: Rainer Schlittgen
Maintainer: Rainer Schlittgen <R.Schlittgen@t-online.de>

Diff between tsapp versions 1.0.1 dated 2020-09-21 and 1.0.2 dated 2020-09-24

 DESCRIPTION    |    6 +++---
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 3 files changed, 7 insertions(+), 7 deletions(-)

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New package topsa with initial version 0.1.0
Package: topsa
Type: Package
Title: Topological Sensitivity Analysis
Version: 0.1.0
Authors@R: c( person(given = "Maikol", family = "Solís", email = "maikol.solis@ucr.ac.cr", role = c("aut", "cre")), person(given = "Alberto", family = "Hernández", email = "albertojose.hernandez@ucr.ac.cr", role = c("ctb")), person(given = "Ronald A.", family = "Zuñiga-Rojas", email = "ronald.zunigarojas@ucr.ac.cr", role = c("ctb")), person(given = "Carlos", family = "Pasquier", email = "carlos.pasquier@ucr.ac.cr", role = c("ctb")) )
Maintainer: Maikol Solís <maikol.solis@ucr.ac.cr>
Description: Estimate geometric sensitivity indices reconstructing the embedding manifold of the data. The reconstruction is done via a Vietoris Rips with a fixed radius. With the homology of order 2 we estimate symmetric reflections of the those manifold to determine a sensitivity index on of the input model. Detailed information of the methods can be found in <https://www.dropbox.com/s/0kcrjhhkl7899n1/article-symmetric-reflection.pdf> (WIP preprint).
License: MIT + file LICENSE
URL: https://github.com/maikol-solis/topsa
BugReports: https://github.com/maikol-solis/topsa/issues
Encoding: UTF-8
LazyData: true
Imports: ggplot2, scales, sf, TDA, parallel, methods
RoxygenNote: 7.1.0
Depends: R (>= 3.6.0)
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-09-18 12:45:23 UTC; maikol
Author: Maikol Solís [aut, cre], Alberto Hernández [ctb], Ronald A. Zuñiga-Rojas [ctb], Carlos Pasquier [ctb]
Repository: CRAN
Date/Publication: 2020-09-24 09:00:02 UTC

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New package simcross with initial version 0.3-6
Package: simcross
Version: 0.3-6
Date: 2020-09-17
Title: Simulate Experimental Crosses
Description: Simulate and plot general experimental crosses. The focus is on simulating genotypes with an aim towards flexibility rather than speed. Meiosis is simulated following the Stahl model, in which chiasma locations are the superposition of two processes: a proportion p coming from a process exhibiting no interference, and the remainder coming from a process following the chi-square model.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl W Broman <broman@wisc.edu>
Authors@R: c(person("Karl W", "Broman", role=c("aut", "cre"), email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")))
Depends: R (>= 3.1.0)
Imports: graphics, stats, Rcpp (>= 0.12.17)
Suggests: qtl, knitr, rmarkdown, testthat, devtools, roxygen2
License: GPL-3
URL: https://kbroman.org/simcross/, https://github.com/kbroman/simcross
BugReports: https://github.com/kbroman/simcross/issues
VignetteBuilder: knitr
LinkingTo: Rcpp
LazyData: true
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-09-17 15:28:19 UTC; kbroman
Repository: CRAN
Date/Publication: 2020-09-24 08:50:02 UTC

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Package ProbReco updated to version 0.1.0.1 with previous version 0.1.0 dated 2020-08-18

Title: Score Optimal Probabilistic Forecast Reconciliation
Description: Training of reconciliation weights for probabilistic forecasts to optimise total energy (or variogram) score using Stochastic Gradient Descent with automatically differentiated gradients. See Panagiotelis, Gamakumara, Athanasopoulos and Hyndman, (2020) <https://www.monash.edu/business/ebs/research/publications/ebs/wp26-2020.pdf> for a description of the methods.
Author: Anastasios Panagiotelis [aut, cre] (<https://orcid.org/0000-0001-8678-7294>)
Maintainer: Anastasios Panagiotelis <anastasios.panagiotelis@sydney.edu.au>

Diff between ProbReco versions 0.1.0 dated 2020-08-18 and 0.1.0.1 dated 2020-09-24

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Package PHInfiniteEstimates updated to version 1.5 with previous version 1.3 dated 2020-03-29

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

Diff between PHInfiniteEstimates versions 1.3 dated 2020-03-29 and 1.5 dated 2020-09-24

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New package KneeArrower with initial version 1.0.0
Package: KneeArrower
Type: Package
Title: Finds Cutoff Points on Knee Curves
Version: 1.0.0
Author: Alan Tseng
Maintainer: Alan Tseng <alan.tseng@alum.utoronto.ca>
Description: Given a set of points around a knee curve, analyzes first and second derivatives to find knee points.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: signal
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-18 01:07:10 UTC; aklt
Repository: CRAN
Date/Publication: 2020-09-24 08:30:02 UTC

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Package fakemake updated to version 1.7.2 with previous version 1.7.1 dated 2020-04-12

Title: Mock the Unix Make Utility
Description: Use R as a minimal build system. This might come in handy if you are developing R packages and can not use a proper build system. Stay away if you can (use a proper build system).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between fakemake versions 1.7.1 dated 2020-04-12 and 1.7.2 dated 2020-09-24

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Package AnnotationBustR updated to version 1.3.0 with previous version 1.2 dated 2018-04-09

Title: Extract Subsequences from GenBank Annotations
Description: Extraction of subsequences into FASTA files from GenBank annotations where gene names may vary among accessions. Borstein & O'Meara (2018) <doi:10.7717/peerj.5179>.
Author: Samuel R. Borstein <sam@borstein.com>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Samuel R. Borstein <sam@borstein.com>

Diff between AnnotationBustR versions 1.2 dated 2018-04-09 and 1.3.0 dated 2020-09-24

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Package xaringan updated to version 0.17 with previous version 0.16 dated 2020-03-31

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>), Benjie Gillam [ctb], Claus Thorn Ekstrøm [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] (<https://orcid.org/0000-0002-7111-0077>), Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>), John Little [ctb], Joselyn Chávez [ctb] (<https://orcid.org/0000-0002-4974-4591>), Joseph Casillas [ctb], Lucy D'Agostino McGowan [ctb] (<https://orcid.org/0000-0001-7297-9359>), Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Matthew Mark Strasiotto [ctb] (mstr3336), Michael Wayne Kearney [ctb], Nan-Hung Hsieh [ctb], Ole Petter Bang [ctb] (CSS in rmarkdown/templates/xaringan/resources/default.css), Patrick Schratz [ctb], Paul Klemm [ctb] (<https://orcid.org/0000-0002-5985-1737>), Paul Lemmens [ctb], Sean Lopp [ctb], Yongfu Liao [ctb], Yue Jiang [ctb] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xaringan versions 0.16 dated 2020-03-31 and 0.17 dated 2020-09-24

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Package koRpus updated to version 0.13-2 with previous version 0.13-1 dated 2020-09-21

Title: An R Package for Text Analysis
Description: A set of tools to analyze texts. Includes, amongst others, functions for automatic language detection, hyphenation, several indices of lexical diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g., Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora are also provided, to enable frequency analyses (supports Celex and Leipzig Corpora Collection file formats) and measures like tf-idf. Note: For full functionality a local installation of TreeTagger is recommended. It is also recommended to not load this package directly, but by loading one of the available language support packages from the 'l10n' repository <https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs for its basic features. The respective R package 'rkward' cannot be installed directly from a repository, as it is a part of RKWard. To make full use of this feature, please install RKWard from <https://rkward.kde.org> (plugins are detected automatically). Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, request features, or discuss the development of the package, please subscribe to the koRpus-dev mailing list (<https://korpusml.reaktanz.de>).
Author: Meik Michalke [aut, cre], Earl Brown [ctb], Alberto Mirisola [ctb], Alexandre Brulet [ctb], Laura Hauser [ctb]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

Diff between koRpus versions 0.13-1 dated 2020-09-21 and 0.13-2 dated 2020-09-24

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Package doFuture updated to version 0.10.0 with previous version 0.9.0 dated 2020-01-11

Title: A Universal Foreach Parallel Adapter using the Future API of the 'future' Package
Description: Provides a '%dopar%' adapter such that any type of futures can be used as backends for the 'foreach' framework.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between doFuture versions 0.9.0 dated 2020-01-11 and 0.10.0 dated 2020-09-24

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Package crossmap updated to version 0.2.0 with previous version 0.1.0 dated 2020-09-10

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between crossmap versions 0.1.0 dated 2020-09-10 and 0.2.0 dated 2020-09-24

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New package irt with initial version 0.1.1
Package: irt
Type: Package
Title: Item Response Theory and Computerized Adaptive Testing Functions
Version: 0.1.1
Authors@R: c(person("Emre", "Gonulates", email = "egonulates@gmail.com", role = c("aut", "cre"), comment = c(ORCID="0000-0002-3834-3266")))
Maintainer: Emre Gonulates <egonulates@gmail.com>
Description: A collection of Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) functions that are used in psychometrics.
License: GPL-3
Depends: methods
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.4), ggplot2, parallel
NeedsCompilation: yes
RoxygenNote: 7.1.1
Encoding: UTF-8
LazyData: true
Collate: 'Item-class.R' 'Item-class-methods.R' 'Itempool-class.R' 'Itempool-class-methods.R' 'RcppExports.R' 'Testlet-class-methods.R' 'ability_estimation.R' 'cat_sim.R' 'cat_sim_helper_functions.R' 'dif.R' 'info.R' 'ipd.R' 'irt.R' 'item_analysis.R' 'item_fit.R' 'misc.R' 'person_fit.R' 'plot_IRT.R' 'prob.R' 'resp_lik.R' 'resp_loglik.R' 'rsss.R' 'sim_resp.R'
Packaged: 2020-09-15 18:42:13 UTC; gonul
Author: Emre Gonulates [aut, cre] (<https://orcid.org/0000-0002-3834-3266>)
Repository: CRAN
Date/Publication: 2020-09-24 06:40:03 UTC

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Package DICOMread updated to version 0.0.0.2 with previous version 0.0.0.1 dated 2020-09-01

Title: Reading and Saving DICOM Image Files
Description: This function provides an interface between 'Matlab' and 'R' in facilitating fast processing for reading and saving DICOM images.
Author: Shu Jiang [aut, cre] (<https://orcid.org/0000-0003-1464-4838>)
Maintainer: Shu Jiang <jiang.shu@wustl.edu>

Diff between DICOMread versions 0.0.0.1 dated 2020-09-01 and 0.0.0.2 dated 2020-09-24

 DICOMread-0.0.0.1/DICOMread/R/save_mat.R        |only
 DICOMread-0.0.0.1/DICOMread/man/form_mat_fun.Rd |only
 DICOMread-0.0.0.2/DICOMread/DESCRIPTION         |    6 +++---
 DICOMread-0.0.0.2/DICOMread/MD5                 |    6 ++----
 DICOMread-0.0.0.2/DICOMread/NAMESPACE           |    1 -
 5 files changed, 5 insertions(+), 8 deletions(-)

More information about DICOMread at CRAN
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