Mon, 16 May 2022

Package ggmatplot updated to version 0.1.2 with previous version 0.1.1 dated 2022-01-11

Title: Plot Columns of Two Matrices Against Each Other Using 'ggplot2'
Description: A quick and easy way of plotting the columns of two matrices or data frames against each other using 'ggplot2'. Although 'ggmatplot' doesn't provide the same flexibility as 'ggplot2', it can be used as a workaround for having to wrangle wide format data into long format for plotting with 'ggplot2'.
Author: Xuan Liang [aut, cre] , Francis K. C. Hui [aut] , Emi Tanaka [aut] , Dilinie Seimon [aut]
Maintainer: Xuan Liang <xuan.liang@anu.edu.au>

Diff between ggmatplot versions 0.1.1 dated 2022-01-11 and 0.1.2 dated 2022-05-16

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Package tinytex updated to version 0.39 with previous version 0.38 dated 2022-03-28

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] , RStudio, PBC [cph], Christophe Dervieux [ctb] , Devon Ryan [ctb] , Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package TestDesign updated to version 1.3.3 with previous version 1.3.2 dated 2022-04-29

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests. Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.
Author: Seung W. Choi [aut, cre] , Sangdon Lim [aut]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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Package riAFTBART updated to version 0.3.2 with previous version 0.3.1 dated 2022-05-16

Title: A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes
Description: Random-intercept accelerated failure time (AFT) model utilizing Bayesian additive regression trees (BART) for drawing causal inferences about multiple treatments while accounting for the multilevel survival data structure. It also includes an interpretable sensitivity analysis approach to evaluate how the drawn causal conclusions might be altered in response to the potential magnitude of departure from the no unmeasured confounding assumption.
Author: Liangyuan Hu [aut], Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <jj869@sph.rutgers.edu>

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Package nph updated to version 2.1 with previous version 2.0 dated 2020-01-10

Title: Planning and Analysing Survival Studies under Non-Proportional Hazards
Description: Piecewise constant hazard functions are used to flexibly model survival distributions with non-proportional hazards and to simulate data from the specified distributions. A function to calculate weighted log-rank tests for the comparison of two hazard functions is included. Also, a function to calculate a test using the maximum of a set of test statistics from weighted log-rank tests (MaxCombo test) is provided. This test utilizes the asymptotic multivariate normal joint distribution of the separate test statistics. The correlation is estimated from the data. These methods are described in Ristl et al. (2021) <doi:10.1002/pst.2062>. Finally, a function is provided for the estimation and inferential statistics of various parameters that quantify the difference between two survival curves. Eligible parameters are differences in survival probabilities, log survival probabilities, complementary log log (cloglog) transformed survival probabilities, quantiles of the survival functions, log transformed quantiles, restricted mean survival times, as well as an average hazard ratio, the Cox model score statistic (logrank statistic), and the Cox-model hazard ratio. Adjustments for multiple testing and simultaneous confidence intervals are calculated using a multivariate normal approximation to the set of selected parameters.
Author: Robin Ristl [aut, cre], Nicolas Ballarini [ctb]
Maintainer: Robin Ristl <robin.ristl@meduniwien.ac.at>

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Package DemographicTable updated to version 0.1.2 with previous version 0.1.1 dated 2022-04-20

Title: Creating Demographic Table
Description: Functions for creating demographic table with simple summary statistics, with optional comparison(s) over one or more groups. Numeric variables are summarized in means, standard deviations, medians, inter-quartile-ranges (IQR), skewness, Shapiro-Wilk normality test and ranges, and compared using two-sample t-test, Wilcoxon test, ANOVA and/or Kruskal-Wallis test. Logical and factor variables are summarized in counts and percentages and compared using chi-squared test and/or Fisher's exact test.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package tiledb updated to version 0.13.0 with previous version 0.12.0 dated 2022-04-13

Title: Universal Storage Engine for Sparse and Dense Multidimensional Arrays
Description: The universal storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc. [aut, cph], Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

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Package mrgsolve updated to version 1.0.4 with previous version 1.0.3 dated 2022-03-21

Title: Simulate from ODE-Based Models
Description: Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.
Author: Kyle T Baron [aut, cre] , Bill Gillespie [ctb], Charles Margossian [ctb], Devin Pastoor [ctb], Bill Denney [ctb] , Dilawar Singh [ctb], Felicien Le Louedec [ctb] , Timothy Waterhouse [ctb] , Metrum Research Group [cph]
Maintainer: Kyle T Baron <kyleb@metrumrg.com>

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Package hypervolume updated to version 3.0.3 with previous version 3.0.2 dated 2022-01-31

Title: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Author: Benjamin Blonder, with contributions from Cecina Babich Morrow, David J. Harris, Stuart Brown, Gregoire Butruille, Alex Laini, and Dan Chen
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>

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Package cpfa updated to version 1.0-2 with previous version 1.0-1 dated 2022-04-08

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis (Parafac) model-1 fit to a three-way or four-way data tensor/array. See Harshman (1994) <doi:10.1016/0167-9473(94)90132-5>. Uses Parafac factor weights from one mode of this model as predictors to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Supports penalized logistic regression, support vector machine, random forest, and feed-forward neural network. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Parallel computing is implemented via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Snodgress <snodg031@umn.edu>
Maintainer: Matthew A. Snodgress <snodg031@umn.edu>

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Package brnn updated to version 0.9.2 with previous version 0.9.1 dated 2022-04-25

Title: Bayesian Regularization for Feed-Forward Neural Networks
Description: Bayesian regularization for feed-forward neural networks.
Author: Paulino Perez Rodriguez, Daniel Gianola
Maintainer: Paulino Perez Rodriguez <perpdgo@colpos.mx>

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Package kselection updated to version 0.2.1 with previous version 0.2.0 dated 2015-02-11

Title: Selection of K in K-Means Clustering
Description: Selection of k in k-means clustering based on Pham et al. paper ``Selection of k in k-means clustering''.
Author: Daniel Rodriguez
Maintainer: Daniel Rodriguez <daniel.rodriguez.perez@gmail.com>

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New package UBCRM with initial version 1.0.2
Package: UBCRM
Title: Functions to Simulate and Conduct Dose-Escalation Phase I Studies
Version: 1.0.2
Date: 2022-05-12
Author: Benjamin Esterni with contribution from Baboukar Mane
Maintainer: Christophe Zemmour <christophe.zemmour@gmail.com>
Description: Two Phase I designs are implemented in the package: the classical 3+3 and the Continual Reassessment Method. Simulations tools are also available to estimate the operating characteristics of the methods with several user-dependent options.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-05-13 13:30:27 UTC; ZEMMOURC
Repository: CRAN
Date/Publication: 2022-05-16 18:30:05 UTC

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New package robin with initial version 1.1.1
Package: robin
Title: ROBustness in Network
Version: 1.1.1
Maintainer: Valeria Policastro <valeria.policastro@gmail.com>
Description: Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) <https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ValeriaPolicastro/robin
Depends: R (>= 3.5), igraph
Imports: ggplot2, networkD3, DescTools, fdatest, methods, gridExtra, parallel, spam, qpdf, Matrix
VignetteBuilder: knitr
Suggests: devtools, knitr, rmarkdown, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2022-05-16 18:01:35 UTC; valer
Author: Valeria Policastro [aut, cre], Dario Righelli [aut], Luisa Cutillo [aut], Italia De Feis [aut], Annamaria Carissimo [aut]
Repository: CRAN
Date/Publication: 2022-05-16 18:30:02 UTC

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Package grpSLOPE updated to version 0.3.1 with previous version 0.3.0 dated 2020-04-07

Title: Group Sorted L1 Penalized Estimation
Description: Group SLOPE is a penalized linear regression method that is used for adaptive selection of groups of significant predictors in a high-dimensional linear model. The Group SLOPE method can control the (group) false discovery rate at a user-specified level (i.e., control the expected proportion of irrelevant among all selected groups of predictors).
Author: Alexej Gossmann [aut, cre], Damian Brzyski [aut], Weijie Su [aut], Malgorzata Bogdan [aut], Ewout van den Berg [ctb] , Emmanuel Candes [ctb] , Chiara Sabatti [ctb] , Evan Patterson [ctb]
Maintainer: Alexej Gossmann <alexej.go@googlemail.com>

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New package cuRe with initial version 1.1.0
Package: cuRe
Title: Parametric Cure Model Estimation
Version: 1.1.0
Date: 2022-05-16
Maintainer: Lasse Hjort Jakobsen <lahja@math.aau.dk>
Description: Contains functions for estimating generalized parametric mixture and non-mixture cure models, loss of lifetime, mean residual lifetime, and crude event probabilities.
URL: https://github.com/LasseHjort/cuRe
BugReports: https://github.com/LasseHjort/cuRe/issues
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0), survival, rstpm2, date
Imports: numDeriv, statmod, relsurv, reshape2
LazyData: Yes
NeedsCompilation: no
Packaged: 2022-05-16 09:20:05 UTC; sw1y
Author: Lasse Hjort Jakobsen [aut, cre], Mark Clements [cph], Rasmus Kuhr Jensen [ctb], Lars Klingen Gjærde [ctb]
Repository: CRAN
Date/Publication: 2022-05-16 18:20:02 UTC

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Package psborrow updated to version 0.2.0 with previous version 0.1.0 dated 2021-06-04

Title: Bayesian Dynamic Borrowing with Propensity Score
Description: A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.
Author: Craig Gower-Page [cre], Matt Secrest [ctb], Yichen Lu [aut], Aijing Lin [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Craig Gower-Page <craig.gower-page@roche.com>

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Package mlma updated to version 6.2-1 with previous version 6.1-1 dated 2021-07-06

Title: Multilevel Mediation Analysis
Description: Do multilevel mediation analysis with generalized additive multilevel models. The analysis method is described in Yu and Li (2020), "Third-Variable Effect Analysis with Multilevel Additive Models", PLoS ONE 15(10): e0241072.
Author: Qingzhao Yu, Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

Diff between mlma versions 6.1-1 dated 2021-07-06 and 6.2-1 dated 2022-05-16

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Package RcmdrPlugin.ROC updated to version 1.0-19 with previous version 1.0-18 dated 2015-02-26

Title: Rcmdr Receiver Operator Characteristic Plug-in Package
Description: Rcmdr GUI extension plug-in for Receiver Operator Characteristic tools from pROC package. Also it ads a Rcmdr GUI extension for Hosmer and Lemeshow GOF test from the package ResourceSelection.
Author: Daniel-Corneliu Leucuta [aut, cre], Mihaela Hedesiu [ctb], Andrei Achimas [ctb], Oana Almasan [ctb]
Maintainer: Daniel-Corneliu Leucuta <danny.ldc@gmail.com>

Diff between RcmdrPlugin.ROC versions 1.0-18 dated 2015-02-26 and 1.0-19 dated 2022-05-16

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Package RcmdrPlugin.coin updated to version 1.0-23 with previous version 1.0-22 dated 2014-09-14

Title: Rcmdr Coin Plug-in
Description: Rcmdr GUI extension plug-in for coin package (Conditional Inference Procedures in a Permutation Test Framework).
Author: Daniel-Corneliu Leucuta <danny.ldc@gmail.com>
Maintainer: Daniel-Corneliu Leucuta <danny.ldc@gmail.com>

Diff between RcmdrPlugin.coin versions 1.0-22 dated 2014-09-14 and 1.0-23 dated 2022-05-16

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Package hudr updated to version 1.1.0 with previous version 1.0.0 dated 2022-03-29

Title: Providing Data from the US Department of Housing and Urban Development
Description: Provides functions to access data from the US Department of Housing and Urban Development <https://www.huduser.gov/portal/dataset/fmr-api.html>.
Author: Paul Richardson
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>

Diff between hudr versions 1.0.0 dated 2022-03-29 and 1.1.0 dated 2022-05-16

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Package fdaPOIFD updated to version 1.0.3 with previous version 1.0.2 dated 2021-08-04

Title: Partially Observed Integrated Functional Depth
Description: Applications to visualization, outlier detection and classification. Software companion for Elías, Antonio, Jiménez, Raúl, Paganoni, Anna M. and Sangalli, Laura M., (2022), "Integrated Depth for Partially Observed Functional Data". Journal of Computational and Graphical Statistics. <doi:10.1080/10618600.2022.2070171>.
Author: Antonio Elias [aut, cre], Raul Jimenez [ctb], Anna M. Paganoni [ctb], Laura M. Sangalli [ctb]
Maintainer: Antonio Elias <antonioefz91@gmail.com>

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Package EESPCA updated to version 0.6.0 with previous version 0.5.0 dated 2021-10-13

Title: Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)
Description: Contains logic for computing sparse principal components via the EESPCA method, which is based on an approximation of the eigenvector/eigenvalue identity. Includes logic to support execution of the TPower and rifle sparse PCA methods, as well as logic to estimate the sparsity parameters used by EESPCA, TPower and rifle via cross-validation to minimize the out-of-sample reconstruction error. H. Robert Frost (2021) <doi:10.1080/10618600.2021.1987254>.
Author: H. Robert Frost
Maintainer: H. Robert Frost <rob.frost@dartmouth.edu>

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Package eegkitdata updated to version 1.1 with previous version 1.0 dated 2014-09-09

Title: Electroencephalography Toolkit Datasets
Description: Contains the example EEG data used in the package eegkit. Also contains code for easily creating larger EEG datasets from the EEG Database on the UCI Machine Learning Repository.
Author: Nathaniel E. Helwig <helwig@umn.edu>
Maintainer: Nathaniel E. Helwig <helwig@umn.edu>

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Package SAEval updated to version 0.1.5 with previous version 0.1.4 dated 2022-05-05

Title: Small Area Estimation Evaluation
Description: Allows users to produce diagnostic procedures and graphic tools for the evaluation of Small Area estimators.
Author: Andrea Fasulo [aut, cre]
Maintainer: Andrea Fasulo <fasulo@istat.it>

Diff between SAEval versions 0.1.4 dated 2022-05-05 and 0.1.5 dated 2022-05-16

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Package RSEIS updated to version 4.1-1 with previous version 4.0-3 dated 2021-08-02

Title: Seismic Time Series Analysis Tools
Description: Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Leonard Lisapaly [ctb], Dave Harris [aut, cph]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package intensitynet updated to version 1.3.0 with previous version 1.0.0 dated 2022-01-26

Title: Intensity Analysis of Spatial Point Patterns on Complex Networks
Description: Tools to analyze point patterns in space occurring over planar network structures derived from graph-related intensity measures for undirected, directed, and mixed networks. This package is based on the following research: Eckardt and Mateu (2018) <doi:10.1080/10618600.2017.1391695>. Eckardt and Mateu (2021) <doi:10.1007/s11749-020-00720-4>.
Author: Pol Llagostera [aut, cre], Matthias Eckardt [aut]
Maintainer: Pol Llagostera <pol.llagostera@udl.cat>

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Package ggquickeda updated to version 0.2.2 with previous version 0.2.1 dated 2021-06-22

Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Description: Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
Author: Samer Mouksassi [aut, cre] , Dean Attali [aut], Benjamin Rich [aut] , Michael Sachs [aut]
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>

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Package ouch updated to version 2.18 with previous version 2.17 dated 2021-05-16

Title: Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses
Description: Fit and compare Ornstein-Uhlenbeck models for evolution along a phylogenetic tree.
Author: Aaron A. King [aut, cre], Marguerite A. Butler [ctb]
Maintainer: Aaron A. King <kingaa@umich.edu>

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Package optmatch updated to version 0.10.3 with previous version 0.10.2 dated 2022-05-14

Title: Functions for Optimal Matching
Description: Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies (Hansen and Klopfer 2006 <doi:10.1198/106186006X137047>). Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Author: Ben Hansen [aut], Mark Fredrickson [aut], Josh Errickson [cre, aut], Josh Buckner [aut], Adam Rauh [ctb]
Maintainer: Josh Errickson <jerrick@umich.edu>

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Package BiDAG updated to version 2.0.7 with previous version 2.0.6 dated 2022-05-09

Title: Bayesian Inference for Directed Acyclic Graphs
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data or categorical data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks. References: J. Kuipers, P. Suter, G. Moffa (2022) <doi:10.1080/10618600.2021.2020127>, N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, J. Kuipers and G. Moffa (2017) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al. (2012) <doi:10.18637/jss.v047.i11>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@bsse.ethz.ch>

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Package rgl updated to version 0.108.3.2 with previous version 0.108.3 dated 2021-11-21

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Ed [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package ecochange updated to version 2.9 with previous version 2.8 dated 2022-04-09

Title: Integrating Ecosystem Remote Sensing Products to Derive EBV Indicators
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that document biodiversity change. Freely available ecosystem remote sensing products (ERSP) are downloaded and integrated with data for national or regional domains to derive indicators for EBV in the class ecosystem structure (Pereira et al., 2013) <doi:10.1126/science.1229931>, including horizontal ecosystem extents, fragmentation, and information-theory indices. To process ERSP, users must provide a polygon or geographic administrative data map. Downloadable ERSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.
Author: Wilson Lara Henao [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzalez [ctb], Maria C. Londono [ctb]
Maintainer: Wilson Lara Henao <wilarhen@gmail.com>

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Package neural (with last version 1.4.2.2) was removed from CRAN

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

2014-09-28 1.4.2.2

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Package futile.paradigm (with last version 2.0.4) was removed from CRAN

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

2012-02-06 2.0.4
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Package p3state.msm (with last version 1.3) was removed from CRAN

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

2012-07-04 1.3
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2009-07-18 1.0

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Package rock (with last version 0.5.4) was removed from CRAN

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2022-04-29 0.5.4
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Package SmithWilsonYieldCurve (with last version 1.0.1) was removed from CRAN

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2013-06-19 1.0.1

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

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2021-07-02 1.0.0

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

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

2014-11-03 1.0

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Package gyro updated to version 1.0.0 with previous version 0.2.0 dated 2022-03-15

Title: Hyperbolic Geometry
Description: Hyperbolic geometry in the hyperboloid model and the Poincaré model. The methods are based on the gyrovector space theory developed by A. A. Ungar that can be found in the book 'Analytic Hyperbolic Geometry: Mathematical Foundations And Applications' <doi:10.1142/5914>. The package provides functions to plot three-dimensional hyperbolic polyhedra, to plot hyperbolic tilings of the Poincaré disk, and to construct and plot Delaunay hyperbolic triangulations of the Poincaré disk. They are constructed with the help of the C++ library 'CGAL'.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package eventstream updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-06

Title: Streaming Events and their Early Classification
Description: Implements event extraction and early classification of events in data streams in R. It has the functionality to generate 2-dimensional data streams with events belonging to 2 classes. These events can be extracted and features computed. The event features extracted from incomplete-events can be classified using a partial-observations-classifier (Kandanaarachchi et al. 2018) <doi:10.1371/journal.pone.0236331>.
Author: Sevvandi Kandanaarachchi [aut, cre]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package riAFTBART updated to version 0.3.1 with previous version 0.3.0 dated 2022-04-10

Title: A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes
Description: Random-intercept accelerated failure time (AFT) model utilizing Bayesian additive regression trees (BART) for drawing causal inferences about multiple treatments while accounting for the multilevel survival data structure. It also includes an interpretable sensitivity analysis approach to evaluate how the drawn causal conclusions might be altered in response to the potential magnitude of departure from the no unmeasured confounding assumption.
Author: Liangyuan Hu [aut], Jiayi Ji [aut, cre]
Maintainer: Jiayi Ji <jj869@sph.rutgers.edu>

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Package mnorm updated to version 1.0.1 with previous version 1.0.0 dated 2022-05-11

Title: Multivariate Normal Distribution
Description: Calculates and differentiates probabilities and density of (conditional) multivariate normal distribution using methods described in A. Genz (2004) <doi:10.1023/B:STCO.0000035304.20635.31>, A. Genz, F. Bretz (2009) <doi:10.1007/978-3-642-01689-9> and E. Kossova, B. Potanin (2018) <https:ideas.repec.org/a/ris/apltrx/0346.html>.
Author: Bogdan Potanin [aut, cre, ctb]
Maintainer: Bogdan Potanin <bogdanpotanin@gmail.com>

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Package KoboconnectR updated to version 1.1.0 with previous version 1.0.0 dated 2022-03-29

Title: Download Data from Kobotoolbox to R
Description: Wrapper for 'Kobotoolbox' APIs ver 2 mentioned at <https://support.kobotoolbox.org/api.html>, to download data from 'Kobotoolbox' to R. Small and simple package that adds immense convenience for the data professionals using 'Kobotoolbox'.
Author: Asitav Sen [aut, cre, cph]
Maintainer: Asitav Sen <hello@asitavsen.com>

Diff between KoboconnectR versions 1.0.0 dated 2022-03-29 and 1.1.0 dated 2022-05-16

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More information about KoboconnectR at CRAN
Permanent link

Package DGEobj updated to version 1.1.2 with previous version 1.1.1 dated 2022-05-10

Title: Differential Gene Expression (DGE) Analysis Results Data Object
Description: Provides a flexible container to manage and annotate Differential Gene Expression (DGE) analysis results (Smythe et. al (2015) <doi:10.1093/nar/gkv007>). The DGEobj has data slots for row (gene), col (samples), assays (matrix n-rows by m-samples dimensions) and metadata (not keyed to row, col, or assays). A set of accessory functions to deposit, query and retrieve subsets of a data workflow has been provided. Attributes are used to capture metadata such as species and gene model, including reproducibility information such that a 3rd party can access a DGEobj history to see how each data object was created or modified. Since the DGEobj is customizable and extensible it is not limited to RNA-seq analysis types of workflows -- it can accommodate nearly any data analysis workflow that starts from a matrix of assays (rows) by samples (columns).
Author: John Thompson [aut], Connie Brett [aut, cre], Isaac Neuhaus [aut], Ryan Thompson [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between DGEobj versions 1.1.1 dated 2022-05-10 and 1.1.2 dated 2022-05-16

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More information about DGEobj at CRAN
Permanent link

Package datawizard updated to version 0.4.1 with previous version 0.4.0 dated 2022-03-30

Title: Easy Data Wrangling
Description: A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
Author: Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut, cre] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Etienne Bacher [ctb]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between datawizard versions 0.4.0 dated 2022-03-30 and 0.4.1 dated 2022-05-16

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More information about datawizard at CRAN
Permanent link

Package binGroup2 updated to version 1.2.3 with previous version 1.1.0 dated 2021-03-17

Title: Identification and Estimation using Group Testing
Description: Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms.
Author: Brianna Hitt [aut, cre] , Christopher Bilder [aut] , Frank Schaarschmidt [aut] , Brad Biggerstaff [aut] , Christopher McMahan [aut] , Joshua Tebbs [aut] , Boan Zhang [ctb], Michael Black [ctb], Peijie Hou [ctb], Peng Chen [ctb]
Maintainer: Brianna Hitt <brianna.hitt@huskers.unl.edu>

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Package workboots updated to version 0.2.0 with previous version 0.1.1 dated 2022-04-11

Title: Generate Bootstrap Prediction Intervals from a 'tidymodels' Workflow
Description: Provides functions for generating bootstrap prediction intervals from a 'tidymodels' workflow. 'tidymodels' <https://www.tidymodels.org/> is a collection of packages for modeling and machine learning using 'tidyverse' <https://www.tidyverse.org/> principles. This package is not affiliated with or maintained by 'RStudio' or the 'tidymodels' maintainers.
Author: Mark Rieke [aut, cre]
Maintainer: Mark Rieke <markjrieke@gmail.com>

Diff between workboots versions 0.1.1 dated 2022-04-11 and 0.2.0 dated 2022-05-16

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Package smcfcs updated to version 1.6.2 with previous version 1.6.1 dated 2022-01-18

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], Edouard F. Bonneville [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

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Package mma updated to version 10.6-1 with previous version 10.5-1 dated 2021-10-25

Title: Multiple Mediation Analysis
Description: Used for general multiple mediation analysis. The analysis method is described in Yu and Li (2022) (ISBN: 9780367365479) "Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS", published by Chapman and Hall/CRC; and Yu et al.(2017) <DOI:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors", published on Spatial and Spatio-temporal Epidemiology, 21, 13-23.
Author: Qingzhao Yu and Bin Li
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

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Package LAWBL updated to version 1.5.0 with previous version 1.4.0 dated 2021-04-01

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 csppData updated to version 0.2.61 with previous version 0.2.5 dated 2022-03-08

Title: Data Only: The Correlates of State Policy Project Dataset
Description: Contains the Correlates of State Policy Project dataset (+ codebook) assembled by Marty P. Jordan and Matt Grossmann (2020) <http://ippsr.msu.edu/public-policy/correlates-state-policy> used by the 'cspp' package. The Correlates data contains over 3000 variables across more than 100 years that pertain to state politics and policy in the United States.
Author: Caleb Lucas and Joshua McCrain
Maintainer: Caleb Lucas <calebjlucas@gmail.com>

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Package ciftiTools updated to version 0.9.0 with previous version 0.8.0 dated 2022-01-31

Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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 ciftiTools-0.9.0/ciftiTools/man/smooth_cifti.Rd                     |    5 
 ciftiTools-0.9.0/ciftiTools/man/surface_plot_Params.Rd              |    5 
 ciftiTools-0.9.0/ciftiTools/man/transform_xifti.Rd                  |   84 --
 ciftiTools-0.9.0/ciftiTools/man/view_comp.Rd                        |   29 
 ciftiTools-0.9.0/ciftiTools/man/view_surf.Rd                        |    6 
 ciftiTools-0.9.0/ciftiTools/man/view_xifti_surface.Rd               |   19 
 ciftiTools-0.9.0/ciftiTools/man/view_xifti_surface.draw_mesh.Rd     |    3 
 ciftiTools-0.9.0/ciftiTools/man/view_xifti_surface.mesh_val.Rd      |   11 
 ciftiTools-0.9.0/ciftiTools/man/view_xifti_volume.Rd                |   52 +
 ciftiTools-0.9.0/ciftiTools/man/welcome_msg.Rd                      |only
 ciftiTools-0.9.0/ciftiTools/tests/testthat/test-misc.R              |    7 
 ciftiTools-0.9.0/ciftiTools/tests/testthat/test-plotting_sub.R      |    2 
 ciftiTools-0.9.0/ciftiTools/tests/testthat/test-plotting_together.R |    5 
 ciftiTools-0.9.0/ciftiTools/tests/testthat/test-resampling.R        |   12 
 64 files changed, 1309 insertions(+), 965 deletions(-)

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