Fri, 12 Aug 2022

Package transport updated to version 0.12-4 with previous version 0.12-2 dated 2020-03-11

Title: Computation of Optimal Transport Plans and Wasserstein Distances
Description: Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
Author: Dominic Schuhmacher [aut, cre], Bjoern Baehre [aut] , Nicolas Bonneel [aut] , Carsten Gottschlich [aut] , Valentin Hartmann [aut] , Florian Heinemann [aut] , Bernhard Schmitzer [aut] , Joern Schrieber [aut] , Timo Wilm [ctb]
Maintainer: Dominic Schuhmacher <dominic.schuhmacher@mathematik.uni-goettingen.de>

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Package tmvtnsim updated to version 0.1.2 with previous version 0.1.1 dated 2022-02-15

Title: Truncated Multivariate Normal and t Distribution Simulation
Description: Simulation of random vectors from truncated multivariate normal and t distributions based on the algorithms proposed by Yifang Li and Sujit K. Ghosh (2015) <doi:10.1080/15598608.2014.996690>.
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package remap updated to version 0.3.0 with previous version 0.2.1 dated 2021-04-16

Title: Regional Spatial Modeling with Continuous Borders
Description: Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff (2021) <https://digitalcommons.usu.edu/etd/8065/>.
Author: Jadon Wagstaff [aut, cre], Brennan Bean [aut]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>

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Package rrcov updated to version 1.7-1 with previous version 1.7-0 dated 2022-04-25

Title: Scalable Robust Estimators with High Breakdown Point
Description: Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point: principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>), linear and quadratic discriminant analysis (Todorov and Pires (2007)), multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>), outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>). See also Todorov and Filzmoser (2009) <ISBN-13:978-3838108148>, Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.
Author: Valentin Todorov [aut, cre]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package RJafroc updated to version 2.1.1 with previous version 2.1.0 dated 2022-07-24

Title: Artificial Intelligence Systems and Observer Performance
Description: Analyzing the performance of artificial intelligence (AI) systems/algorithms characterized by a 'search-and-report' strategy. Historically observer performance has dealt with measuring radiologists' performances in search tasks, e.g., searching for lesions in medical images and reporting them, but the implicit location information has been ignored. The implemented methods apply to analyzing the absolute and relative performances of AI systems, comparing AI performance to a group of human readers or optimizing the reporting threshold of an AI system. In addition to performing historical receiver operating receiver operating characteristic (ROC) analysis (localization information ignored), the software also performs free-response receiver operating characteristic (FROC) analysis, where lesion localization information is used. A book using the software has been published: Chakraborty DP: Observer Performance Methods for Diagnostic Imaging - Foundations, Modeling, and Applications with R-Based Examples, Taylor-Francis LLC; 2017: <https://www.routledge.com/Observer-Performance-Methods-for-Diagnostic-Imaging-Foundations-Modeling/Chakraborty/p/book/9781482214840>. Online updates to this book, which use the software, are at <https://dpc10ster.github.io/RJafrocQuickStart/>, <https://dpc10ster.github.io/RJafrocRocBook/> and at <https://dpc10ster.github.io/RJafrocFrocBook/>. Supported data collection paradigms are the ROC, FROC and the location ROC (LROC). ROC data consists of single ratings per images, where a rating is the perceived confidence level that the image is that of a diseased patient. An ROC curve is a plot of true positive fraction vs. false positive fraction. FROC data consists of a variable number (zero or more) of mark-rating pairs per image, where a mark is the location of a reported suspicious region and the rating is the confidence level that it is a real lesion. LROC data consists of a rating and a location of the most suspicious region, for every image. Four models of observer performance, and curve-fitting software, are implemented: the binormal model (BM), the contaminated binormal model (CBM), the correlated contaminated binormal model (CORCBM), and the radiological search model (RSM). Unlike the binormal model, CBM, CORCBM and RSM predict 'proper' ROC curves that do not inappropriately cross the chance diagonal. Additionally, RSM parameters are related to search performance (not measured in conventional ROC analysis) and classification performance. Search performance refers to finding lesions, i.e., true positives, while simultaneously not finding false positive locations. Classification performance measures the ability to distinguish between true and false positive locations. Knowing these separate performances allows principled optimization of reader or AI system performance. This package supersedes Windows JAFROC (jackknife alternative FROC) software V4.2.1, <https://github.com/dpc10ster/WindowsJafroc>. Package functions are organized as follows. Data file related function names are preceded by 'Df', curve fitting functions by 'Fit', included data sets by 'dataset', plotting functions by 'Plot', significance testing functions by 'St', sample size related functions by 'Ss', data simulation functions by 'Simulate' and utility functions by 'Util'. Implemented are figures of merit (FOMs) for quantifying performance and functions for visualizing empirical or fitted operating characteristics: e.g., ROC, FROC, alternative FROC (AFROC) and weighted AFROC (wAFROC) curves. For fully crossed study designs significance testing of reader-averaged FOM differences between modalities is implemented via either Dorfman-Berbaum-Metz or the Obuchowski-Rockette methods. Also implemented is single treatment analysis, which allows comparison of performance of a group of radiologists to a specified value, or comparison of AI to a group of radiologists interpreting the same cases. Crossed-modality analysis is implemented wherein there are two crossed treatment factors and the aim is to determined performance in each treatment factor averaged over all levels of the second factor. Sample size estimation tools are provided for ROC and FROC studies; these use estimates of the relevant variances from a pilot study to predict required numbers of readers and cases in a pivotal study to achieve the desired power. Utility and data file manipulation functions allow data to be read in any of the currently used input formats, including Excel, and the results of the analysis can be viewed in text or Excel output files. The methods are illustrated with several included datasets from the author's collaborations. This update includes improvements to the code, some as a result of user-reported bugs and new feature requests, and others discovered during ongoing testing and code simplification.
Author: Dev Chakraborty [cre, aut, cph], Peter Phillips [ctb], Xuetong Zhai [aut]
Maintainer: Dev Chakraborty <dpc10ster@gmail.com>

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Package geoFKF updated to version 0.1.1 with previous version 0.1.0 dated 2020-11-02

Title: Kriging Method for Spatial Functional Data
Description: A Kriging method for functional datasets with spatial dependency. This functional Kriging method avoids the need to estimate the trace-variogram, and the curve is estimated by minimizing a quadratic form. The curves in the functional dataset are smoothed using Fourier series. The functional Kriging of this package is a modification of the method proposed by Giraldo (2011) <doi:10.1007/s10651-010-0143-y>.
Author: Gilberto Sassi [aut, cre]
Maintainer: Gilberto Sassi <sassi.pereira.gilberto@gmail.com>

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Package ggperiodic updated to version 1.0.2 with previous version 1.0.1 dated 2020-12-08

Title: Easy Plotting of Periodic Data with 'ggplot2'
Description: Implements methods to plot periodic data in any arbitrary range on the fly.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <elio.campitelli@cima.fcen.uba.ar>

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Package visachartR updated to version 2.1.2 with previous version 2.1.1 dated 2022-07-09

Title: Wrapper for 'Visa Chart Components'
Description: Provides a set of wrapper functions for 'Visa Chart Components'. 'Visa Chart Components' <https://github.com/visa/visa-chart-components> is an accessibility focused, framework agnostic set of data experience design systems components for the web.
Author: Christopher DeMartini [aut, cre], Jaime Tanner [aut], Stephanie Modica [aut], Frank Elavsky [aut], Wojtek Kostelecki [ctb], Visa Data Experience Team [aut, fnd], Visa, Inc. [cph]
Maintainer: Christopher DeMartini <chris.demartini.npm@gmail.com>

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Package plu updated to version 0.2.3 with previous version 0.2.2 dated 2022-06-07

Title: Dynamically Pluralize Phrases
Description: Converts English phrases to singular or plural form based on the length of an associated vector. Contains helper functions to create natural language lists from vectors and to include the length of a vector in natural language.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package fauxnaif updated to version 0.7.1 with previous version 0.7.0 dated 2022-04-28

Title: Convert Values to NA
Description: Provides a replacement for dplyr::na_if(). Allows you to specify multiple values to be replaced with NA using a single function.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package EGAnet updated to version 1.2.0 with previous version 1.1.0 dated 2022-05-10

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA is part of a new area called network psychometrics that uses undirected network models for the assessment of psychometric properties. EGA estimates the number of dimensions (or factors) using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community detection algorithm. A bootstrap method for verifying the stability of the dimensions and items in those dimensions is available. The fit of the structure suggested by EGA can be verified using Entropy Fit Indices. A novel approach called Unique Variable Analysis (UVA) can be used to identify and reduce redundant variables in multivariate data. Network loadings, which are roughly equivalent to factor loadings when the data generating model is a factor model, are available. Network scores can also be computed using the network loadings. Dynamic EGA (dynEGA) will estimate dimensions from time series data for individual, group, and sample levels. Golino, H., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2020) <doi:10.31234/osf.io/gzcre>. Christensen, A. P., & Golino, H. (under review) <doi:10.31234/osf.io/hz89e>. Golino, H., Moulder, R. G., Shi, D., Christensen, A. P., Garrido, L. E., Nieto, M. D., Nesselroade, J., Sadana, R., Thiyagarajan, J. A., & Boker, S. M. (2020) <doi:10.31234/osf.io/mtka2>. Christensen, A. P. & Golino, H. (2021) <doi:10.3390/psych3030032>. Christensen, A. P., Garrido, L. E., & Golino, H. (under review) <doi:10.31234/osf.io/4kra2>. Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (under review) <doi:10.31234/osf.io/tfs7c>.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package crossmap updated to version 0.3.3 with previous version 0.3.0 dated 2021-04-02

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]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package BayesPPD updated to version 1.0.7 with previous version 1.0.6 dated 2022-04-23

Title: Bayesian Power Prior Design
Description: Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at <arXiv:2112.14616>. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.
Author: Yueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>

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Package sendgridr updated to version 0.5.1 with previous version 0.4.3 dated 2021-12-19

Title: Mail Sender Using 'Sendgrid' Service
Description: Send email using 'Sendgrid' <https://sendgrid.com/> mail API(v3) <https://docs.sendgrid.com/api-reference/how-to-use-the-sendgrid-v3-api/authentication>.
Author: Chanyub Park [aut, cre]
Maintainer: Chanyub Park <mrchypark@gmail.com>

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Package multilinguer updated to version 0.2.4 with previous version 0.2.2 dated 2022-03-09

Title: Gentle Language Installer for R User
Description: Provides install functions of other languages such as 'java', 'python'.
Author: Chanyub Park [aut, cre]
Maintainer: Chanyub Park <mrchypark@gmail.com>

Diff between multilinguer versions 0.2.2 dated 2022-03-09 and 0.2.4 dated 2022-08-12

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Package TiPS updated to version 1.2.0 with previous version 1.1.1 dated 2022-02-01

Title: Trajectories and Phylogenies Simulator
Description: Generates stochastic time series and genealogies associated with a population dynamics model. Times series are simulated using the Gillespie exact and approximate algorithms and a new algorithm we introduce that uses both approaches to optimize the time execution of the simulations. Genealogies are simulated from a trajectory using a backwards-in-time based approach. Methods are described in Danesh G et al (2020) <doi:10.1101/2020.11.09.373795>.
Author: Gonche Danesh [aut, cre, cph], Emma Saulnier [aut, cph], Olivier Gascuel [aut, cph], Marc Choisy [aut, cph, ths], Samuel Alizon [aut, cph, ths]
Maintainer: Gonche Danesh <gonche.danesh@gmail.com>

Diff between TiPS versions 1.1.1 dated 2022-02-01 and 1.2.0 dated 2022-08-12

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Package potts updated to version 0.5-11 with previous version 0.5-9 dated 2020-03-23

Title: Markov Chain Monte Carlo for Potts Models
Description: Do Markov chain Monte Carlo (MCMC) simulation of Potts models (Potts, 1952, <doi:10.1017/S0305004100027419>), which are the multi-color generalization of Ising models (so, as as special case, also simulates Ising models). Use the Swendsen-Wang algorithm (Swendsen and Wang, 1987, <doi:10.1103/PhysRevLett.58.86>) so MCMC is fast. Do maximum composite likelihood estimation of parameters (Besag, 1975, <doi:10.2307/2987782>, Lindsay, 1988, <doi:10.1090/conm/080>).
Author: Charles J. Geyer <charlie@stat.umn.edu> and Leif Johnson <ltjohnson@google.com>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between potts versions 0.5-9 dated 2020-03-23 and 0.5-11 dated 2022-08-12

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Package elbird updated to version 0.2.5 with previous version 0.2.3 dated 2022-04-19

Title: Blazing Fast Morphological Analyzer Based on Kiwi(Korean Intelligent Word Identifier)
Description: This is the R wrapper package Kiwi(Korean Intelligent Word Identifier), a blazing fast speed morphological analyzer for Korean. It supports configuration of user dictionary and detection of unregistered nouns based on frequency.
Author: Chanyub Park [aut, cre]
Maintainer: Chanyub Park <mrchypark@gmail.com>

Diff between elbird versions 0.2.3 dated 2022-04-19 and 0.2.5 dated 2022-08-12

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 18 files changed, 338 insertions(+), 331 deletions(-)

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Package anyflights updated to version 0.3.3 with previous version 0.3.2 dated 2021-11-24

Title: Query 'nycflights13'-Like Air Travel Data for Given Years and Airports
Description: Supplies a set of functions to query air travel data for user- specified years and airports. Datasets include on-time flights, airlines, airports, planes, and weather.
Author: Simon P. Couch [aut, cre], Hadley Wickham [ctb], Jay Lee [ctb], Dennis Irorere [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

Diff between anyflights versions 0.3.2 dated 2021-11-24 and 0.3.3 dated 2022-08-12

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 MD5                           |   16 ++++++++--------
 NEWS.md                       |    4 ++++
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 R/get_planes.R                |    2 +-
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Package PairViz updated to version 1.3.6 with previous version 1.3.5 dated 2022-01-12

Title: Visualization using Graph Traversal
Description: Improving graphics by ameliorating order effects, using Eulerian tours and Hamiltonian decompositions of graphs. References for the methods presented here are C.B. Hurley and R.W. Oldford (2010) <doi:10.1198/jcgs.2010.09136> and C.B. Hurley and R.W. Oldford (2011) <doi:10.1007/s00180-011-0229-5>.
Author: C.B. Hurley and R.W. Oldford
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

Diff between PairViz versions 1.3.5 dated 2022-01-12 and 1.3.6 dated 2022-08-12

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New package MeshesOperations with initial version 0.1.0
Package: MeshesOperations
Title: Operations on 3D Meshes
Version: 0.1.0
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Uses the 'CGAL' C++ library to perform operations on 3D meshes: Boolean operations (intersection, union, difference), Minkowski sum, smoothing, clipping, decomposition into convex parts.
License: GPL-3
URL: https://github.com/stla/MeshesOperations
BugReports: https://github.com/stla/MeshesOperations/issues
Depends: R (>= 3.1.0)
Imports: data.table, gmp, Rcpp (>= 1.0.7), rgl, Rvcg
Suggests: misc3d, rmarchingcubes, randomcoloR
LinkingTo: Rcpp, RcppCGAL, RcppEigen, BH
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
SystemRequirements: C++ 14, gmp, mpfr
NeedsCompilation: yes
Packaged: 2022-08-10 11:49:27 UTC; stla
Repository: CRAN
Date/Publication: 2022-08-12 14:20:05 UTC

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Package hockeystick updated to version 0.6.2 with previous version 0.6.1 dated 2021-09-20

Title: Download and Visualize Essential Climate Change Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, emissions, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dioxide and temperature data: <https://cdiac.ess-dive.lbl.gov/trends/co2/vostok.html>.
Author: Hernando Cortina [aut, cre]
Maintainer: Hernando Cortina <hch@alum.mit.edu>

Diff between hockeystick versions 0.6.1 dated 2021-09-20 and 0.6.2 dated 2022-08-12

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New package bws with initial version 0.1.0
Package: bws
Title: Bayesian Weighted Sums
Version: 0.1.0
Description: An interface to the Bayesian Weighted Sums model implemented in 'RStan'. It estimates the summed effect of multiple, often moderately to highly correlated, continuous predictors. Its applications can be found in analysis of exposure mixtures. The model was proposed by Hamra, Maclehose, Croen, Kauffman, and Newschaffer (2021) <doi:10.3390/ijerph18041373>. This implementation includes an extension to model binary outcome.
License: GPL (>= 2)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2022-07-31 14:14:25 UTC; phuc
Author: Phuc H. Nguyen [aut, cre]
Maintainer: Phuc H. Nguyen <phuc.nguyen.rcran@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 14:20:02 UTC

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Package SimEvolEnzCons (with last version 2.0.0) was removed from CRAN

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

2021-10-28 2.0.0
2021-06-01 1.0.2

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Package geoGAM (with last version 0.1-2) was removed from CRAN

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

2017-07-23 0.1-2
2016-10-29 0.1-1

Permanent link
Package RKorAPClient (with last version 0.7.2) was removed from CRAN

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

2022-03-01 0.7.2
2021-09-21 0.7.1
2021-03-12 0.6.1
2020-06-07 0.5.9
2020-03-17 0.5.7
2020-03-13 0.5.6

Permanent link
Package parfm (with last version 2.7.6) was removed from CRAN

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

2018-11-06 2.7.6
2017-04-29 2.7.5
2017-01-30 2.7.1
2015-09-03 2.5.10
2015-06-08 2.5.8

Permanent link
Package envlpaster (with last version 0.1-2) was removed from CRAN

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

2016-02-17 0.1-2
2015-12-16 0.1-1

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Package svmplus (with last version 1.0.1) was removed from CRAN

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

2018-04-25 1.0.1
2018-04-23 1.0.0

Permanent link
New package spmodel with initial version 0.1.0
Package: spmodel
Title: Spatial Statistical Modeling and Prediction
Version: 0.1.0
Description: Fit, summarize, and predict for a variety of spatial statistical models. Parameters are estimated using various methods. Additional modeling features include anisotropy, random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, generics, Matrix, sf, stats, tibble, parallel
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-09 23:58:24 UTC; MDUMELLE
Author: Michael Dumelle [aut, cre] , Matt Higham [aut], Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>
Repository: CRAN
Date/Publication: 2022-08-12 13:50:02 UTC

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Package robustHD updated to version 0.7.3 with previous version 0.7.2 dated 2021-11-23

Title: Robust Methods for High-Dimensional Data
Description: Robust methods for high-dimensional data, in particular linear model selection techniques based on least angle regression and sparse regression.
Author: Andreas Alfons [aut, cre]
Maintainer: Andreas Alfons <alfons@ese.eur.nl>

Diff between robustHD versions 0.7.2 dated 2021-11-23 and 0.7.3 dated 2022-08-12

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Package rgoogleads updated to version 0.8.0 with previous version 0.7.1 dated 2022-05-31

Title: Loading Data from 'Google Ads API'
Description: Interface for loading data from 'Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rgoogleads versions 0.7.1 dated 2022-05-31 and 0.8.0 dated 2022-08-12

 DESCRIPTION                                  |    8 
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 52 files changed, 3692 insertions(+), 3687 deletions(-)

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Package relsurv updated to version 2.2-8 with previous version 2.2-7 dated 2022-03-09

Title: Relative Survival
Description: Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables. Work has been described in Pohar Perme, Pavlic (2018) <doi:10.18637/jss.v087.i08>.
Author: Maja Pohar Perme [aut], Damjan Manevski [aut, cre]
Maintainer: Damjan Manevski <damjan.manevski@mf.uni-lj.si>

Diff between relsurv versions 2.2-7 dated 2022-03-09 and 2.2-8 dated 2022-08-12

 DESCRIPTION        |    8 ++++----
 MD5                |   14 +++++++-------
 R/rformulate.r     |    2 +-
 R/years.R          |    2 +-
 inst/news.Rd       |    6 ++++++
 src/pystep.c       |    2 +-
 src/pystep2.c      |    2 +-
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 8 files changed, 23 insertions(+), 17 deletions(-)

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New package pow.int with initial version 1.0
Package: pow.int
Title: Binary Exponentiation
Version: 1.0
Date: 2022-08-07
Description: Fast exponentiation when the exponent is an integer.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2022-08-09 20:55:49 UTC; jon
Author: Jonathan Debove [aut, cre]
Maintainer: Jonathan Debove <jondebove@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 13:50:07 UTC

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New package momentfit with initial version 0.3
Package: momentfit
Version: 0.3
Date: 2022-07-30
Title: Methods of Moments
Author: Pierre Chausse <pchausse@uwaterloo.ca>
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>
Description: Several classes for moment-based models are defined. The classes are defined for moment conditions derived from a single equation or a system of equations. The conditions can also be expressed as functions or formulas. Several methods are also offered to facilitate the development of different estimation techniques. The methods that are currently provided are the Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), for single equations and systems of equation, and the Generalized Empirical Likelihood (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
Depends: R (>= 3.0.0), sandwich
Imports: stats, methods, parallel
Suggests: lmtest, knitr, texreg
License: GPL (>= 2)
NeedsCompilation: yes
VignetteBuilder: knitr
Repository: CRAN
Repository/R-Forge/Project: gmm
Repository/R-Forge/Revision: 202
Repository/R-Forge/DateTimeStamp: 2022-08-12 02:20:25
Date/Publication: 2022-08-12 13:10:02 UTC
Packaged: 2022-08-12 02:31:59 UTC; rforge

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Package glmmSeq updated to version 0.4.0 with previous version 0.2.0 dated 2022-07-11

Title: General Linear Mixed Models for Gene-Level Differential Expression
Description: Using mixed effects models to analyse longitudinal gene expression can highlight differences between sample groups over time. The most widely used differential gene expression tools are unable to fit linear mixed effect models, and are less optimal for analysing longitudinal data. This package provides negative binomial and Gaussian mixed effects models to fit gene expression and other biological data across repeated samples. This is particularly useful for investigating changes in RNA-Sequencing gene expression between groups of individuals over time, as described in: Rivellese, F., Surace, A. E., Goldmann, K., Sciacca, E., Cubuk, C., Giorli, G., ... Lewis, M. J., & Pitzalis, C. (2022) Nature medicine <doi:10.1038/s41591-022-01789-0>.
Author: Myles Lewis [aut] , Katriona Goldmann [aut, cre] , Elisabetta Sciacca [aut] , Cankut Cubuk [ctb] , Anna Surace [ctb]
Maintainer: Katriona Goldmann <k.goldmann@qmul.ac.uk>

Diff between glmmSeq versions 0.2.0 dated 2022-07-11 and 0.4.0 dated 2022-08-12

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New package codified with initial version 0.3.0
Package: codified
Title: Produce Standard/Formalized Demographics Tables
Description: Augment clinical data with metadata to create output used in conventional publications and reports.
Version: 0.3.0
URL: https://ouhscbbmc.github.io/codified/, https://github.com/OuhscBbmc/codified, https://github.com/higgi13425/nih_enrollment_table
BugReports: https://github.com/OuhscBbmc/codified/issues
Depends: R(>= 4.1.0)
Imports: checkmate (>= 1.8.4), dplyr (>= 1.0.0), kableExtra, knitr (>= 1.18.0), rlang, tibble (>= 1.4.0), tidyr (>= 1.0.0)
Suggests: covr, readr (>= 1.1.0), REDCapR, rmarkdown, testthat (>= 3.0)
License: MIT + file LICENSE
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-08-12 13:13:21 UTC; Will
Author: Will Beasley [aut, cre] , Peter Higgins [ctb]
Maintainer: Will Beasley <wibeasley@hotmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 13:40:06 UTC

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Package adespatial updated to version 0.3-18 with previous version 0.3-16 dated 2022-03-31

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray, David Bauman, Guillaume Blanchet, Daniel Borcard, Sylvie Clappe, Guillaume Guenard, Thibaut Jombart, Guillaume Larocque, Pierre Legendre, Naima Madi, Helene H Wagner
Maintainer: Stephane Dray <stephane.dray@univ-lyon1.fr>

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Package AATtools updated to version 0.0.2 with previous version 0.0.1 dated 2020-06-14

Title: Reliability and Scoring Routines for the Approach-Avoidance Task
Description: Compute approach bias scores using different scoring algorithms, compute bootstrapped and exact split-half reliability estimates, and compute confidence intervals for individual participant scores.
Author: Sercan Kahveci [aut, cre]
Maintainer: Sercan Kahveci <sercan.kahveci@sbg.ac.at>

Diff between AATtools versions 0.0.1 dated 2020-06-14 and 0.0.2 dated 2022-08-12

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Package qrmtools updated to version 0.0-16 with previous version 0.0-15 dated 2022-05-31

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>

Diff between qrmtools versions 0.0-15 dated 2022-05-31 and 0.0-16 dated 2022-08-12

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New package OSLdecomposition with initial version 1.0.0
Package: OSLdecomposition
Title: Signal Component Analysis for Optically Stimulated Luminescence
Version: 1.0.0
Date: 2022-07-29
Maintainer: Dirk Mittelstraß <dirk.mittelstrass@luminescence.de>
Description: Function library for the identification and separation of exponentially decaying signal components in continuous-wave optically stimulated luminescence measurements. A special emphasis is laid on luminescence dating with quartz, which is known for systematic errors due to signal components with unequal physical behaviour. Also, this package enables an easy to use signal decomposition of data sets imported and analysed with the R package 'Luminescence'. This includes the optional automatic creation of HTML reports. Further information and tutorials can be found at <https://luminescence.de>.
Depends: R (>= 4.0)
License: GPL-3
BugReports: https://github.com/DirkMittelstrass/OSLdecomposition/issues
Encoding: UTF-8
Imports: Luminescence (>= 0.9.9), methods, utils, stats, tools, DEoptim, minpack.lm, gridExtra, ggplot2, scales, ggpubr, rmarkdown
Suggests: kableExtra
NeedsCompilation: no
Packaged: 2022-08-08 18:47:36 UTC; DirkWinDuck
Author: Dirk Mittelstraß [aut, cre] , Sebastian Kreutzer [aut] , Christoph Schmidt [aut] , Jan Beyer [ths] , Johannes Heitmann [ths], Arno Straessner [ths]
Repository: CRAN
Date/Publication: 2022-08-12 12:30:02 UTC

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New package kernelshap with initial version 0.1.0
Package: kernelshap
Title: Kernel SHAP
Version: 0.1.0
Description: Implementation of the model-agnostic Kernel SHAP algorithm by Ian Covert and Su-In Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. Due to its iterative nature, standard errors of the SHAP values are provided and convergence is monitored. The package allows to work with any model that provides numeric predictions. Examples include linear regression, logistic regression (logit or probability scale), other generalized linear models, generalized additive models, and neural networks. The package plays well together with meta-learning packages like 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Encoding: UTF-8
Imports: stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-08-09 19:40:11 UTC; Michael
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 12:20:06 UTC

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Package growthrates updated to version 0.8.3 with previous version 0.8.2 dated 2020-11-02

Title: Estimate Growth Rates from Experimental Data
Description: A collection of methods to determine growth rates from experimental data, in particular from batch experiments and plate reader trials.
Author: Thomas Petzoldt [aut, cre]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between growthrates versions 0.8.2 dated 2020-11-02 and 0.8.3 dated 2022-08-12

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Package gmm updated to version 1.7 with previous version 1.6-6 dated 2021-03-05

Title: Generalized Method of Moments and Generalized Empirical Likelihood
Description: It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
Author: Pierre Chausse <pchausse@uwaterloo.ca>
Maintainer: Pierre Chausse <pchausse@uwaterloo.ca>

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Package ggpmisc updated to version 0.5.0 with previous version 0.4.7 dated 2022-06-15

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics: locate and tag peaks and valleys; label plot with the equation of a fitted polynomial or other types of models; labels with P-value, R^2 or adjusted R^2 or information criteria for fitted models; label with ANOVA table for fitted models; label with summary for fitted models. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package datefixR updated to version 1.1.0 with previous version 1.0.0 dated 2022-07-18

Title: Standardize Dates in Different Formats or with Missing Data
Description: There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Author: Nathan Constantine-Cooke [aut, cre] , Kaique dos S. Alves [rev] , Al-Ahmadgaid B. Asaad [rev]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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More information about datefixR at CRAN
Permanent link

New package digiRhythm with initial version 1.0
Package: digiRhythm
Title: Analyzing Animal's Rhythmicity
Version: 1.0
Author: Hassan Roland Nasser [aut, cre], Marie Schneider [ctb], Joanna Stachowicz [rev], Christina Umstaetter [ths]
Maintainer: Hassan Roland Nasser <hassan.nasser@me.com>
Description: Analyze and visualize the rhythmic behavior of animals using the degree of functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>), compute and visualize harmonic power, actograms, average activity and diurnality index.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: tidyr, readr (>= 2.0.1), magrittr, dplyr, xts, pracma, ggplot2, lubridate, stringr, zoo, crayon, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), usethis
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-22 22:46:50 UTC; f80859433
Repository: CRAN
Date/Publication: 2022-08-12 11:20:02 UTC

More information about digiRhythm at CRAN
Permanent link

New package CINE with initial version 0.1.3
Package: CINE
Title: Classification International Normalized of Education
Version: 0.1.3
Description: Function using lemmatization to classify educational programs according to the CINE(Classification International Normalized of Education) for Peru.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/musajajorge/CINE
Imports: dplyr, tm, tidytext, tidyr
NeedsCompilation: no
Packaged: 2022-07-23 20:25:08 UTC; jorge
Author: Jorge L. C. Musaja [aut, cre]
Maintainer: Jorge L. C. Musaja <musajajorge@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 11:30:02 UTC

More information about CINE at CRAN
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New package blockcpd with initial version 1.0.0
Package: blockcpd
Title: Change Point Detection for Multiple Aligned Independent Time Series
Version: 1.0.0
Description: Implementation of statistical models based on regularized likelihood for offline change point detection on multiple aligned independent time series. It detects changes in parameters for the specified family for the series as group or block. As a reference for the method, see Prates et al. (2021) <arXiv:2111.10187>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp, graphics, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-08-08 23:16:33 UTC; lucasprates
Author: Lucas Prates [aut, cre] , Florencia Leonardi [aut]
Maintainer: Lucas Prates <lucasdelprates@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 11:20:06 UTC

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Package statmod updated to version 1.4.37 with previous version 1.4.36 dated 2021-05-10

Title: Statistical Modeling
Description: A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes advanced generalized linear model functions including Tweedie and Digamma distributional families and a secure convergence algorithm.
Author: Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
Maintainer: Gordon Smyth <smyth@wehi.edu.au>

Diff between statmod versions 1.4.36 dated 2021-05-10 and 1.4.37 dated 2022-08-12

 DESCRIPTION            |    8 ++++----
 MD5                    |   20 ++++++++++----------
 build/partial.rdb      |binary
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 man/elda.Rd            |    4 ++--
 man/fitNBP.Rd          |    5 ++++-
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 man/gauss.quad.prob.Rd |    2 +-
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 man/power.Rd           |    6 +++++-
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 11 files changed, 54 insertions(+), 28 deletions(-)

More information about statmod at CRAN
Permanent link

Package dfrr (with last version 0.1.4) was removed from CRAN

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

2020-09-17 0.1.4

Permanent link
Package treePlotArea updated to version 1.3.0 with previous version 1.2.0 dated 2022-08-05

Title: Correction Factors for Tree Plot Areas Intersected by Stand Boundaries
Description: The German national forest inventory uses angle count sampling, a sampling method first published as `Bitterlich, W.: Die Winkelzählmessung. Allgemeine Forst- und Holzwirtschaftliche Zeitung, 58. Jahrg., Folge 11/12 vom Juni 1947` and extended by Grosenbaugh (<https://academic.oup.com/jof/article-abstract/50/1/32/4684174>) as probability proportional to size sampling. When plots are located near stand boundaries, their sizes and hence their probabilities need to be corrected.
Author: Andreas Dominik Cullmann [aut, cre], Bernhard Boesch [ctb], Christoph Fischer [ctb], Gerald Kaendler [ctb]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between treePlotArea versions 1.2.0 dated 2022-08-05 and 1.3.0 dated 2022-08-12

 DESCRIPTION                                           |    8 +--
 MD5                                                   |   20 ++++-----
 NEWS.md                                               |    9 ++++
 R/get_correction_factors.R                            |   37 ++++++++----------
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 inst/doc/An_Introduction_to_treePlotArea.Rnw          |    5 --
 inst/doc/An_Introduction_to_treePlotArea.pdf          |binary
 inst/runit_tests/runit-get_correction_factors.R       |   29 +++++++++++---
 inst/vignettes_code/An_Introduction_to_treePlotArea.R |    5 --
 vignettes/An_Introduction_to_treePlotArea.Rnw         |    5 --
 11 files changed, 79 insertions(+), 55 deletions(-)

More information about treePlotArea at CRAN
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Package rtgstat updated to version 0.3.2 with previous version 0.3.1 dated 2022-05-02

Title: Client for 'TGStat API'
Description: Allow function for using 'TGStat Stat API' and 'TGStat Search API', for more details see <https://api.tgstat.ru/docs/ru/start/intro.html>. 'TGStat' provide telegram channel analytics data.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rtgstat versions 0.3.1 dated 2022-05-02 and 0.3.2 dated 2022-08-12

 DESCRIPTION                       |    8 -
 MD5                               |   50 ++++-----
 NEWS.md                           |    3 
 man/rtgstat-package.Rd            |    4 
 man/tg_auth.Rd                    |   40 +++----
 man/tg_categories.Rd              |   40 +++----
 man/tg_channel.Rd                 |   50 ++++-----
 man/tg_channel_avg_posts_reach.Rd |   96 +++++++++---------
 man/tg_channel_err.Rd             |   96 +++++++++---------
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 man/tg_set_interval.Rd            |   34 +++---
 26 files changed, 875 insertions(+), 872 deletions(-)

More information about rtgstat at CRAN
Permanent link

Package ringostat updated to version 0.1.5 with previous version 0.1.3 dated 2021-10-01

Title: Load Data from 'Ringostat API'
Description: Loading calls data from 'Ringostat API'. See <https://help.ringostat.com/knowledge-base/article/integration-with-ringostat-via-api>.
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between ringostat versions 0.1.3 dated 2021-10-01 and 0.1.5 dated 2022-08-12

 DESCRIPTION               |   10 ++--
 LICENSE                   |    4 -
 MD5                       |   28 ++++++------
 NAMESPACE                 |   20 ++++----
 NEWS.md                   |    9 ++++
 R/ringostat.R             |   12 ++---
 R/rs_auth.R               |   30 ++++++-------
 R/rs_download_record.R    |   68 +++++++++++++++---------------
 R/rs_get_call_data.R      |    4 -
 R/zzz.R                   |   66 ++++++++++++++---------------
 README.md                 |    6 ++
 man/ringostat-package.Rd  |   42 +++++++++---------
 man/rs_auth.Rd            |   34 +++++++--------
 man/rs_download_record.Rd |   48 ++++++++++-----------
 man/rs_get_call_data.Rd   |  103 +++++++++++++++++++++++-----------------------
 15 files changed, 249 insertions(+), 235 deletions(-)

More information about ringostat at CRAN
Permanent link

Package RCALI updated to version 0.3.3 with previous version 0.3.2 dated 2022-05-04

Title: Calculation of the Integrated Flow of Particles Between Polygons
Description: Calculate the flow of particles between polygons by two integration methods: integration by a cubature method and integration on a grid of points. Annie Bouvier, Kien Kieu, Kasia Adamczyk and Herve Monod (2009) <doi:10.1016/j.envsoft.2008.11.006>.
Author: Annie Bouvier [aut, cph], Kien Kieu [aut, cph], Kasia Adamczyk [aut, cph], Herve Monod [aut, cph], Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>

Diff between RCALI versions 0.3.2 dated 2022-05-04 and 0.3.3 dated 2022-08-12

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 RCALI-0.3.3/RCALI/DESCRIPTION          |   10 +++++-----
 RCALI-0.3.3/RCALI/MD5                  |   11 +++++------
 RCALI-0.3.3/RCALI/NAMESPACE            |    1 +
 RCALI-0.3.3/RCALI/R/listpoly-methods.R |    2 +-
 RCALI-0.3.3/RCALI/inst/CITATION        |    2 +-
 RCALI-0.3.3/RCALI/src/Point.h          |    1 +
 7 files changed, 14 insertions(+), 13 deletions(-)

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New package mauricer with initial version 2.5.2
Package: mauricer
Title: Work with 'BEAST2' Packages
Version: 2.5.2
Author: Richel J.C. Bilderbeek
Maintainer: Richel J.C. Bilderbeek <richel@richelbilderbeek.nl>
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2' (<https://www.beast2.org>), which, among others, allows one to install 'BEAST2' package. This package allows to work with 'BEAST2' packages from 'R'.
License: GPL-3
Encoding: UTF-8
Depends: beastier (>= 2.4.7)
Imports: stringr
Suggests: beautier (>= 2.6.2), curl, knitr, markdown, rmarkdown, testit, testthat (>= 2.1.0)
VignetteBuilder: knitr
URL: https://docs.ropensci.org/mauricer/ (website) https://github.com/ropensci/mauricer/
BugReports: https://github.com/ropensci/mauricer/issues
SystemRequirements: BEAST2 (https://www.beast2.org/)
NeedsCompilation: no
Packaged: 2022-08-12 07:48:43 UTC; richel
Repository: CRAN
Date/Publication: 2022-08-12 08:10:02 UTC

More information about mauricer at CRAN
Permanent link

Package lpSolveAPI updated to version 5.5.2.0-17.8 with previous version 5.5.2.0-17.7 dated 2020-06-14

Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
Author: lp_solve <http://lpsolve.sourceforge.net/> [aut], Kjell Konis [aut], Florian Schwendinger [aut, cre], Kurt Hornik [ctb]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between lpSolveAPI versions 5.5.2.0-17.7 dated 2020-06-14 and 5.5.2.0-17.8 dated 2022-08-12

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More information about lpSolveAPI at CRAN
Permanent link

Package GeoTcgaData updated to version 1.1.1 with previous version 1.1.0 dated 2022-08-06

Title: Processing various types of data on GEO and TCGA
Description: Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us with a wealth of data, such as RNA-seq, DNA Methylation, SNP and Copy number variation data. It's easy to download data from TCGA using the gdc tool, but processing these data into a format suitable for bioinformatics analysis requires more work. This R package was developed to handle these data.
Author: Erqiang Hu [aut, cre]
Maintainer: Erqiang Hu <13766876214@163.com>

Diff between GeoTcgaData versions 1.1.0 dated 2022-08-06 and 1.1.1 dated 2022-08-12

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Package conformalbayes updated to version 0.1.2 with previous version 0.1.0 dated 2022-03-10

Title: Jackknife(+) Predictive Intervals for Bayesian Models
Description: Provides functions to construct finite-sample calibrated predictive intervals for Bayesian models, following the approach in Barber et al. (2021) <doi:10.1214/20-AOS1965>. These intervals are calculated efficiently using importance sampling for the leave-one-out residuals. By default, the intervals will also reflect the relative uncertainty in the Bayesian model, using the locally-weighted conformal methods of Lei et al. (2018) <doi:10.1080/01621459.2017.1307116>.
Author: Cory McCartan [aut, cre]
Maintainer: Cory McCartan <cmccartan@g.harvard.edu>

Diff between conformalbayes versions 0.1.0 dated 2022-03-10 and 0.1.2 dated 2022-08-12

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New package causalweight with initial version 1.0.3
Package: causalweight
Title: Estimation Methods for Causal Inference Based on Inverse Probability Weighting
Version: 1.0.3
Maintainer: Hugo Bodory <hugo.bodory@unisg.ch>
Description: Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects. The models refer to studies of Froelich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, Froelich and Huber (2017) <doi:10.1111/rssb.12232>, Hsu, Huber, Lee, and Lettry (2020) <doi:10.1002/jae.2765>, and others.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), ranger
Imports: mvtnorm, np, LARF, hdm, SuperLearner, glmnet, xgboost, e1071, fastDummies
NeedsCompilation: no
Packaged: 2022-08-12 07:13:47 UTC; HBodory
Author: Hugo Bodory [aut, cre] , Martin Huber [aut]
Repository: CRAN
Date/Publication: 2022-08-12 08:10:05 UTC

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New package babette with initial version 2.3.2
Package: babette
Title: Control 'BEAST2'
Version: 2.3.2
Maintainer: Richel J.C. Bilderbeek <richel@richelbilderbeek.nl>
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2', 'Tracer' and 'DensiTree'. 'babette' provides for an alternative workflow of using all these tools separately. This allows doing complex Bayesian phylogenetics easily and reproducibly from 'R'.
License: GPL-3
VignetteBuilder: knitr
URL: https://docs.ropensci.org/babette/ (website) https://github.com/ropensci/babette/
BugReports: https://github.com/ropensci/babette/issues
Depends: beautier (>= 2.6.5), beastier (>= 2.4.10), mauricer (>= 2.5), R (>= 3.5.0), tracerer
Imports: phangorn, remotes, stringr, xml2
Suggests: ape, curl, ggplot2, hunspell, knitr, lintr, markdown, nLTT, rappdirs, rmarkdown, spelling, testthat (>= 2.1.0)
Language: en-US
Encoding: UTF-8
SystemRequirements: BEAST2 (https://www.beast2.org/)
NeedsCompilation: no
Packaged: 2022-08-12 08:23:57 UTC; richel
Author: Richel J.C. Bilderbeek [aut, cre] , Joelle Barido-Sottani [rev] , David Winter [rev] , Jason Griffiths [ctb] , Giovanni Laudanno [ctb]
Repository: CRAN
Date/Publication: 2022-08-12 09:00:02 UTC

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New package aopdata with initial version 1.0.0
Package: aopdata
Title: Data from the 'Access to Opportunities Project (AOP)'
Version: 1.0.0
Date: 2022-08-11
Description: Download data from the 'Access to Opportunities Project (AOP)'. The 'aopdata' package brings annual estimates of access to employment, health, education and social assistance services by transport mode, as well as data on the spatial distribution of population, jobs, health care, schools and social assistance facilities at a fine spatial resolution for all cities included in the project. More info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.
URL: https://github.com/ipeaGIT/aopdata
BugReports: https://github.com/ipeaGIT/aopdata/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Suggests: covr, dplyr (>= 0.8-3), ggplot2 (>= 3.3.1), knitr, rmarkdown (>= 2.6), scales, testthat, units
Imports: checkmate, curl, data.table, httr (>= 1.4.1), methods, sf (>= 0.9-3), utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-11 15:04:50 UTC; user
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Marcus Saraiva [aut] , Carlos Kaue Vieira Braga [aut] , Diego Bogado Tomasiello [ctb], Joao Bazzo [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 08:30:02 UTC

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New package photosynthesis with initial version 2.0.3
Package: photosynthesis
Version: 2.0.3
Date: 2022-08-11
Title: Tools for Plant Ecophysiology & Modeling
Depends: R (>= 4.0.0), ggplot2 (>= 3.3.0), minpack.lm (>= 1.2-1), units (>= 0.6.6)
Imports: checkmate (>= 2.0.0), crayon (>= 1.3.4), dplyr (>= 0.8.5), furrr (>= 0.1.0), glue (>= 1.4.0), graphics (>= 4.0.0), grDevices (>= 4.0.0), gunit (>= 1.0.0), magrittr (>= 1.5.0), methods (>= 3.5.0), nlme (>= 3.1-147), pkgnet (>= 0.4.1), purrr (>= 0.3.3), rlang (>= 0.4.6), stats (>= 4.0.0), stringr (>= 1.4.0), tealeaves (>= 1.0.5), tidyselect (>= 1.0.0), utils (>= 4.0.0)
Suggests: future, testthat, knitr, rmarkdown, tidyr
Description: Contains modeling and analytical tools for plant ecophysiology. MODELING: Simulate C3 photosynthesis using the Farquhar, von Caemmerer, Berry (1980) <doi:10.1007/BF00386231> model as described in Buckley and Diaz-Espejo (2015) <doi:10.1111/pce.12459>. It uses units to ensure that parameters are properly specified and transformed before calculations. Temperature response functions get automatically "baked" into all parameters based on leaf temperature following Bernacchi et al. (2002) <doi:10.1104/pp.008250>. The package includes boundary layer, cuticular, stomatal, and mesophyll conductances to CO2, which each can vary on the upper and lower portions of the leaf. Use straightforward functions to simulate photosynthesis over environmental gradients such as Photosynthetic Photon Flux Density (PPFD) and leaf temperature, or over trait gradients such as CO2 conductance or photochemistry. ANALYTICAL TOOLS: Fit ACi (Farquhar et al. (1980) <doi:10.1007/BF00386231>) and AQ curves (Marshall & Biscoe (1980) <doi:10.1093/jxb/31.1.29>), temperature responses (Heskel et al. (2016) <doi:10.1073/pnas.1520282113>; Kruse et al. (2008) <doi:10.1111/j.1365-3040.2008.01809.x>, Medlyn et al. (2002) <doi:10.1046/j.1365-3040.2002.00891.x>, Hobbs et al. (2013) <doi:10.1021/cb4005029>), respiration in the light (Kok (1956) <doi:10.1016/0006-3002(56)90003-8>, Walker & Ort (2015) <doi:10.1111/pce.12562>, Yin et al. (2009) <doi:10.1111/j.1365-3040.2009.01934.x>, Yin et al. (2011) <doi:10.1093/jxb/err038>), mesophyll conductance (Harley et al. (1992) <doi:10.1104/pp.98.4.1429>), pressure-volume curves (Koide et al. (2000) <doi:10.1007/978-94-009-2221-1_9>, Sack et al. (2003) <doi:10.1046/j.0016-8025.2003.01058.x>, Tyree et al. (1972) <doi:10.1093/jxb/23.1.267>), hydraulic vulnerability curves (Ogle et al. (2009) <doi:10.1111/j.1469-8137.2008.02760.x>, Pammenter et al. (1998) <doi:10.1093/treephys/18.8-9.589>), and tools for running sensitivity analyses particularly for variables with uncertainty (e.g. g_mc(), gamma_star(), R_d()).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://github.com/cdmuir/photosynthesis
BugReports: https://github.com/cdmuir/photosynthesis/issues
NeedsCompilation: no
Packaged: 2022-08-12 06:23:45 UTC; cdmuir
Author: Joseph Stinziano [aut] , Cassaundra Roback [aut], Demi Sargent [aut], Bridget Murphy [aut], Patrick Hudson [aut, dtc], Chris Muir [aut, cre]
Maintainer: Chris Muir <cdmuir@hawaii.edu>
Repository: CRAN
Date/Publication: 2022-08-12 07:20:02 UTC

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Package o2plsda updated to version 0.0.18 with previous version 0.0.17 dated 2022-07-11

Title: Multiomics Data Integration
Description: Provides functions to do 'O2PLS-DA' analysis for multiple omics data integration. The algorithm came from "O2-PLS, a two-block (X±Y) latent variable regression (LVR) method with an integral OSC filter" which published by Johan Trygg and Svante Wold at 2003 <doi:10.1002/cem.775>. 'O2PLS' is a bidirectional multivariate regression method that aims to separate the covariance between two data sets (it was recently extended to multiple data sets) (Löfstedt and Trygg, 2011 <doi:10.1002/cem.1388>; Löfstedt et al., 2012 <doi:10.1016/j.aca.2013.06.026>) from the systematic sources of variance being specific for each data set separately.
Author: Kai Guo [aut, cre], Junguk Hur [aut], Eva Feldman [aut]
Maintainer: Kai Guo <guokai8@gmail.com>

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Package melt updated to version 1.7.0 with previous version 1.6.0 dated 2022-07-10

Title: Multiple Empirical Likelihood Tests
Description: Performs multiple empirical likelihood tests for linear and generalized linear models. The core computational routines are implemented using the 'Eigen' C++ library and 'RcppEigen' interface, with OpenMP for parallel computation. Details of multiple testing procedures are given in Kim, MacEachern, and Peruggia (2021) <arxiv:2112.09206>. This work was supported by the U.S. National Science Foundation under Grants No. SES-1921523 and DMS-2015552.
Author: Eunseop Kim [aut, cre], Steven MacEachern [ctb, ths], Mario Peruggia [ctb, ths]
Maintainer: Eunseop Kim <kim.7302@osu.edu>

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New package InteRD with initial version 0.1.1
Package: InteRD
Title: The Integrated and Robust Deconvolution
Version: 0.1.1
Description: We developed the Integrated and Robust Deconvolution algorithm to infer cell-type proportions from target bulk RNA-seq data. This package is able to effectively integrate deconvolution results from multiple scRNA-seq datasets and calibrates estimates from reference-based deconvolution by taking into account extra biological information as priors. Moreover, the proposed algorithm is robust to inaccurate external information imposed in the deconvolution system.
License: Artistic-2.0
Encoding: UTF-8
URL: https://github.com/chencxxy28/InteRD
BugReports: https://github.com/chencxxy28/InteRD/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: Rcpp (>= 0.11.0), limSolve, cowplot, ggplot2, pheatmap, stats,DescTools, mgcv, reshape2
Depends: R (>= 3.5.0), Biobase
NeedsCompilation: no
Packaged: 2022-08-11 17:55:05 UTC; chixiang.chen
Author: Chixiang Chen [cre, aut], Yuk Yee Leung [aut], Matei Lonita [aut], Li-San Wang [aut], Mingyao Li [aut]
Maintainer: Chixiang Chen <chencxxy@hotmail.com>
Repository: CRAN
Date/Publication: 2022-08-12 07:20:11 UTC

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New package assist with initial version 3.1.8
Package: assist
Title: A Suite of R Functions Implementing Spline Smoothing Techniques
Version: 3.1.8
Description: Fit various smoothing spline models. Includes an ssr() function for smoothing spline regression, an nnr() function for nonparametric nonlinear regression, an snr() function for semiparametric nonlinear regression, an slm() function for semiparametric linear mixed-effects models, and an snm() function for semiparametric nonlinear mixed-effects models. See Wang (2011) <doi:10.1201/b10954> for an overview.
Depends: R (>= 3.0.2), nlme, lattice
License: GPL-2
LazyData: true
URL: https://yuedong.faculty.pstat.ucsb.edu/software.html
NeedsCompilation: yes
Packaged: 2022-08-11 21:01:28 UTC; yuedong
Author: Yuedong Wang [aut, cre], Chunlei Ke [aut], Cleve Moler [cph]
Maintainer: Yuedong Wang <yuedong@ucsb.edu>
Repository: CRAN
Date/Publication: 2022-08-12 07:20:07 UTC

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Package ipaddress updated to version 0.5.5 with previous version 0.5.4 dated 2022-01-11

Title: Tidy IP Addresses
Description: Classes and functions for working with IP (Internet Protocol) addresses and networks, inspired by the Python 'ipaddress' module. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces. It is specifically designed to work well with the 'tidyverse'.
Author: David Hall [aut, cre]
Maintainer: David Hall <david.hall.physics@gmail.com>

Diff between ipaddress versions 0.5.4 dated 2022-01-11 and 0.5.5 dated 2022-08-12

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Package fields updated to version 14.1 with previous version 14.0 dated 2022-07-05

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], University Corporation for Atmospheric Research [cph]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

Diff between fields versions 14.0 dated 2022-07-05 and 14.1 dated 2022-08-12

 fields-14.0/fields/tests/temp.R                           |only
 fields-14.1/fields/DESCRIPTION                            |    8 
 fields-14.1/fields/MD5                                    |  870 ++++++++------
 fields-14.1/fields/R/BD.R                                 |    2 
 fields-14.1/fields/R/ChicagoO3.R                          |    4 
 fields-14.1/fields/R/Exponential.R                        |    2 
 fields-14.1/fields/R/ExponentialUpper.R                   |    2 
 fields-14.1/fields/R/Krig.R                               |    2 
 fields-14.1/fields/R/Krig.family.R                        |    2 
 fields-14.1/fields/R/KrigFindLambda.R                     |    2 
 fields-14.1/fields/R/Matern.R                             |    2 
 fields-14.1/fields/R/Matern.parameters.R                  |    2 
 fields-14.1/fields/R/QSreg.R                              |    2 
 fields-14.1/fields/R/QTps.R                               |    2 
 fields-14.1/fields/R/RMprecip.R                           |    2 
 fields-14.1/fields/R/ROLD                                 |only
 fields-14.1/fields/R/RadialBasis.R                        |    2 
 fields-14.1/fields/R/RdistEarth.R                         |    2 
 fields-14.1/fields/R/SUBSCRIPTINGSpatialDesign.R          |    2 
 fields-14.1/fields/R/Tps.R                                |    2 
 fields-14.1/fields/R/US.R                                 |    2 
 fields-14.1/fields/R/add.image.R                          |    2 
 fields-14.1/fields/R/addColorBarTriangle.R                |    2 
 fields-14.1/fields/R/addLegend.R                          |    2 
 fields-14.1/fields/R/addMarginsGridList.R                 |    2 
 fields-14.1/fields/R/arrow.plot.R                         |    2 
 fields-14.1/fields/R/as.image.R                           |    2 
 fields-14.1/fields/R/as.surface.R                         |   55 
 fields-14.1/fields/R/bisection.search.R                   |    2 
 fields-14.1/fields/R/bplot.family.R                       |    2 
 fields-14.1/fields/R/cat.matrix.R                         |    2 
 fields-14.1/fields/R/cat.to.list.R                        |    2 
 fields-14.1/fields/R/ceiling2.R                           |    2 
 fields-14.1/fields/R/circulantEmbedding.R                 |    4 
 fields-14.1/fields/R/circulantEmbeddingSetup.R            |   16 
 fields-14.1/fields/R/coef.Krig.R                          |    2 
 fields-14.1/fields/R/color.scale.R                        |    2 
 fields-14.1/fields/R/colorBar.R                           |    2 
 fields-14.1/fields/R/colorbar.plot.R                      |    2 
 fields-14.1/fields/R/compactToMat.R                       |    2 
 fields-14.1/fields/R/confidenceIntervalMLE.R              |    2 
 fields-14.1/fields/R/cover.design.R                       |    2 
 fields-14.1/fields/R/cubic.cov.R                          |    2 
 fields-14.1/fields/R/describe.R                           |    2 
 fields-14.1/fields/R/discretize.image.R                   |    2 
 fields-14.1/fields/R/double.exp.R                         |    2 
 fields-14.1/fields/R/drape.color.R                        |    2 
 fields-14.1/fields/R/drape.plot.R                         |    2 
 fields-14.1/fields/R/dyadic.2check.R                      |    2 
 fields-14.1/fields/R/dyadic.check.R                       |    2 
 fields-14.1/fields/R/envelopePlot.R                       |    2 
 fields-14.1/fields/R/evlpoly.R                            |    2 
 fields-14.1/fields/R/evlpoly2.R                           |    2 
 fields-14.1/fields/R/exp.cov.R                            |    2 
 fields-14.1/fields/R/exp.earth.cov.R                      |    2 
 fields-14.1/fields/R/exp.image.cov.R                      |    2 
 fields-14.1/fields/R/exp.simple.cov.R                     |    2 
 fields-14.1/fields/R/fast.1way.R                          |    2 
 fields-14.1/fields/R/fastTps.R                            |    2 
 fields-14.1/fields/R/fields.color.picker.R                |    2 
 fields-14.1/fields/R/fields.convert.grid.R                |    2 
 fields-14.1/fields/R/fields.derivative.poly.R             |    2 
 fields-14.1/fields/R/fields.duplicated.matrix.R           |    2 
 fields-14.1/fields/R/fields.mkpoly.R                      |    2 
 fields-14.1/fields/R/fields.rdist.near.R                  |    2 
 fields-14.1/fields/R/fields.style.R                       |    2 
 fields-14.1/fields/R/fields.x.to.grid.R                   |   21 
 fields-14.1/fields/R/find.upcross.R                       |    2 
 fields-14.1/fields/R/fitted.Krig.R                        |    2 
 fields-14.1/fields/R/flame.R                              |    2 
 fields-14.1/fields/R/gauss.cov.R                          |    2 
 fields-14.1/fields/R/gcv.sreg.R                           |    2 
 fields-14.1/fields/R/golden.section.search.R              |    2 
 fields-14.1/fields/R/image.family.R                       |    2 
 fields-14.1/fields/R/image.plot.R                         |    2 
 fields-14.1/fields/R/image.smooth.R                       |    2 
 fields-14.1/fields/R/imagePlot.R                          |    2 
 fields-14.1/fields/R/in.poly.R                            |    2 
 fields-14.1/fields/R/interp.surface.R                     |    2 
 fields-14.1/fields/R/interp.surface.grid.R                |    2 
 fields-14.1/fields/R/larry.colors.R                       |    2 
 fields-14.1/fields/R/mKrig.R                              |    2 
 fields-14.1/fields/R/mKrigCheckXY.R                       |    2 
 fields-14.1/fields/R/mKrigFastPredict.R                   |    2 
 fields-14.1/fields/R/mKrigFastPredictSetup.R              |    2 
 fields-14.1/fields/R/mKrigMLEGrid.R                       |    2 
 fields-14.1/fields/R/mKrigMLEJoint.R                      |    2 
 fields-14.1/fields/R/mKrigMisc.R                          |    2 
 fields-14.1/fields/R/make.surface.grid.R                  |    6 
 fields-14.1/fields/R/makeMultiIndex.R                     |    2 
 fields-14.1/fields/R/makePredictionGrid.R                 |only
 fields-14.1/fields/R/matern.image.cov.R                   |    2 
 fields-14.1/fields/R/minimax.crit.R                       |    2 
 fields-14.1/fields/R/minitri.R                            |    2 
 fields-14.1/fields/R/multWendlandGrid.R                   |    2 
 fields-14.1/fields/R/offGridWeights.R                     |  218 ---
 fields-14.1/fields/R/offGridWeights1D.R                   |only
 fields-14.1/fields/R/offGridWeights2D.R                   |only
 fields-14.1/fields/R/parse.grid.list.R                    |   16 
 fields-14.1/fields/R/plot.Krig.R                          |    2 
 fields-14.1/fields/R/plot.spatialDesign.R                 |    2 
 fields-14.1/fields/R/plot.spatialProcess.R                |    2 
 fields-14.1/fields/R/plot.sreg.R                          |    2 
 fields-14.1/fields/R/plot.surface.R                       |    2 
 fields-14.1/fields/R/plot.vgram.matrix.R                  |    2 
 fields-14.1/fields/R/poly.image.R                         |    2 
 fields-14.1/fields/R/predict.Krig.R                       |    2 
 fields-14.1/fields/R/predict.fastTps.R                    |    2 
 fields-14.1/fields/R/predict.interp.surface.R             |    2 
 fields-14.1/fields/R/predict.mKrig.R                      |    3 
 fields-14.1/fields/R/predict.sreg.R                       |    2 
 fields-14.1/fields/R/predictDerivative.Krig.R             |    2 
 fields-14.1/fields/R/predictSE.Krig.R                     |    2 
 fields-14.1/fields/R/predictSE.R                          |    2 
 fields-14.1/fields/R/predictSE.mKrig.R                    |   27 
 fields-14.1/fields/R/predictSEUsingKrigA.R                |    2 
 fields-14.1/fields/R/predictSurface.Krig.R                |    2 
 fields-14.1/fields/R/predictSurface.family.R              |    2 
 fields-14.1/fields/R/predictSurface.mKrig.R               |   41 
 fields-14.1/fields/R/predictSurfaceSE.R                   |    2 
 fields-14.1/fields/R/print.Krig.R                         |    2 
 fields-14.1/fields/R/print.mKrig.R                        |    2 
 fields-14.1/fields/R/print.mKrig.summary.R                |    2 
 fields-14.1/fields/R/print.spatial.design.R               |    2 
 fields-14.1/fields/R/print.spatialProcess.R               |    2 
 fields-14.1/fields/R/print.spatialProcessSummary.R        |    2 
 fields-14.1/fields/R/print.sreg.R                         |    2 
 fields-14.1/fields/R/print.summary.Krig.R                 |    2 
 fields-14.1/fields/R/print.summary.sreg.R                 |    2 
 fields-14.1/fields/R/print.summarySpatialDesign.R         |    2 
 fields-14.1/fields/R/printGCVWarnings.R                   |    2 
 fields-14.1/fields/R/profile.R                            |    2 
 fields-14.1/fields/R/profileCI.R                          |    2 
 fields-14.1/fields/R/profileMLE.R                         |    2 
 fields-14.1/fields/R/qr.q2ty.R                            |    2 
 fields-14.1/fields/R/qr.yq2.R                             |    2 
 fields-14.1/fields/R/qsreg.family.R                       |    2 
 fields-14.1/fields/R/quickPrint.R                         |    2 
 fields-14.1/fields/R/quilt.plot.R                         |    2 
 fields-14.1/fields/R/rad.cov.R                            |    2 
 fields-14.1/fields/R/rad.image.cov.R                      |    2 
 fields-14.1/fields/R/rad.simple.cov.R                     |    2 
 fields-14.1/fields/R/radbas.constant.R                    |    2 
 fields-14.1/fields/R/rat.diet.R                           |    2 
 fields-14.1/fields/R/rdist.R                              |    2 
 fields-14.1/fields/R/rdist.earth.R                        |    2 
 fields-14.1/fields/R/rdist.earth.vec.R                    |    2 
 fields-14.1/fields/R/rdist.vec.R                          |    2 
 fields-14.1/fields/R/residuals.Krig.R                     |    2 
 fields-14.1/fields/R/ribbon.plot.R                        |    2 
 fields-14.1/fields/R/set.panel.R                          |    2 
 fields-14.1/fields/R/setup.image.smooth.R                 |    2 
 fields-14.1/fields/R/setupLegend.R                        |    2 
 fields-14.1/fields/R/sim.Krig.R                           |    6 
 fields-14.1/fields/R/sim.rf.R                             |    2 
 fields-14.1/fields/R/sim.spatialProcess.R                 |    6 
 fields-14.1/fields/R/simLocal.spatialProcess.R            |  229 +--
 fields-14.1/fields/R/simSpatialData.R                     |    2 
 fields-14.1/fields/R/smooth.2d.R                          |    2 
 fields-14.1/fields/R/snow.colors.R                        |    2 
 fields-14.1/fields/R/spam_2lz.R                           |    2 
 fields-14.1/fields/R/spatialProcess.R                     |    2 
 fields-14.1/fields/R/spatialProcessSetDefaults.R          |    2 
 fields-14.1/fields/R/splint.R                             |    2 
 fields-14.1/fields/R/sreg.family.R                        |    2 
 fields-14.1/fields/R/stationary.cov.R                     |    2 
 fields-14.1/fields/R/stationary.image.cov.R               |    2 
 fields-14.1/fields/R/stationary.taper.cov.R               |    2 
 fields-14.1/fields/R/stats.R                              |    2 
 fields-14.1/fields/R/stats.bin.R                          |    2 
 fields-14.1/fields/R/summary.Krig.R                       |    2 
 fields-14.1/fields/R/summary.mKrig.R                      |   15 
 fields-14.1/fields/R/summary.ncdf.R                       |    2 
 fields-14.1/fields/R/summary.spatialDesign.R              |    2 
 fields-14.1/fields/R/summary.spatialProcess.R             |    2 
 fields-14.1/fields/R/summary.sreg.R                       |    2 
 fields-14.1/fields/R/summaryGCV.Krig.R                    |    2 
 fields-14.1/fields/R/summaryGCV.sreg.R                    |    2 
 fields-14.1/fields/R/supportsArg.R                        |    2 
 fields-14.1/fields/R/surface.family.R                     |    2 
 fields-14.1/fields/R/temp.R                               |    2 
 fields-14.1/fields/R/test.for.zero.R                      |    2 
 fields-14.1/fields/R/tim.colors.R                         |    2 
 fields-14.1/fields/R/transformx.R                         |    2 
 fields-14.1/fields/R/unrollZGrid.R                        |    2 
 fields-14.1/fields/R/unscale.R                            |    2 
 fields-14.1/fields/R/vgram.family.R                       |   22 
 fields-14.1/fields/R/vgram.matrix.R                       |    2 
 fields-14.1/fields/R/wendland.family.R                    |    2 
 fields-14.1/fields/R/wendland.image.cov.R                 |    2 
 fields-14.1/fields/R/which.max.matrix.R                   |    2 
 fields-14.1/fields/R/world.R                              |    2 
 fields-14.1/fields/R/xline.R                              |    2 
 fields-14.1/fields/R/yline.R                              |    2 
 fields-14.1/fields/man/BD.Rd                              |    3 
 fields-14.1/fields/man/CO.Rd                              |    3 
 fields-14.1/fields/man/CO2.Rd                             |    3 
 fields-14.1/fields/man/CovarianceUpper.Rd                 |    3 
 fields-14.1/fields/man/Exponential.Rd                     |    3 
 fields-14.1/fields/man/FORTRAN.internal.Rd                |    3 
 fields-14.1/fields/man/Krig.Amatrix.Rd                    |    3 
 fields-14.1/fields/man/Krig.Rd                            |    3 
 fields-14.1/fields/man/Krig.engine.default.Rd             |    3 
 fields-14.1/fields/man/Krig.null.function.Rd              |    3 
 fields-14.1/fields/man/Krig.replicates.Rd                 |    3 
 fields-14.1/fields/man/KrigFindLambda.Rd                  |    3 
 fields-14.1/fields/man/NorthAmericanRainfall.Rd           |    3 
 fields-14.1/fields/man/QTps.Rd                            |    3 
 fields-14.1/fields/man/RCMexample.Rd                      |    3 
 fields-14.1/fields/man/RMprecip.Rd                        |    3 
 fields-14.1/fields/man/Tps.Rd                             |    3 
 fields-14.1/fields/man/US.Rd                              |    3 
 fields-14.1/fields/man/US.dat.Rd                          |    3 
 fields-14.1/fields/man/Wendland.Rd                        |    3 
 fields-14.1/fields/man/WorldBank.Rd                       |    3 
 fields-14.1/fields/man/add.image.Rd                       |    3 
 fields-14.1/fields/man/arrow.plot.Rd                      |    3 
 fields-14.1/fields/man/as.image.Rd                        |    3 
 fields-14.1/fields/man/as.surface.Rd                      |    3 
 fields-14.1/fields/man/bplot.Rd                           |    3 
 fields-14.1/fields/man/bplot.xy.Rd                        |    3 
 fields-14.1/fields/man/colorbar.plot.Rd                   |    3 
 fields-14.1/fields/man/compactToMat.Rd                    |    3 
 fields-14.1/fields/man/cover.design.Rd                    |    3 
 fields-14.1/fields/man/drape.plot.Rd                      |    3 
 fields-14.1/fields/man/envelopePlot.Rd                    |    3 
 fields-14.1/fields/man/exp.cov.Rd                         |    3 
 fields-14.1/fields/man/fields-internal.Rd                 |    3 
 fields-14.1/fields/man/fields-stuff.Rd                    |    3 
 fields-14.1/fields/man/fields.Rd                          |  165 +-
 fields-14.1/fields/man/fields.grid.Rd                     |    3 
 fields-14.1/fields/man/fields.hints.Rd                    |    3 
 fields-14.1/fields/man/fields.tests.Rd                    |    3 
 fields-14.1/fields/man/flame.Rd                           |    3 
 fields-14.1/fields/man/glacier.Rd                         |    3 
 fields-14.1/fields/man/grid.list.Rd                       |    3 
 fields-14.1/fields/man/image.cov.Rd                       |    3 
 fields-14.1/fields/man/image.plot.Rd                      |    3 
 fields-14.1/fields/man/image.smooth.Rd                    |    3 
 fields-14.1/fields/man/image2lz.Rd                        |    3 
 fields-14.1/fields/man/imagePlot.Rd                       |    3 
 fields-14.1/fields/man/interp.surface.Rd                  |    3 
 fields-14.1/fields/man/lennon.Rd                          |    3 
 fields-14.1/fields/man/mKrig.Rd                           |    3 
 fields-14.1/fields/man/mKrigMLE.Rd                        |    3 
 fields-14.1/fields/man/minitri.Rd                         |    3 
 fields-14.1/fields/man/offGridWeights.Rd                  |   42 
 fields-14.1/fields/man/ozone.Rd                           |    3 
 fields-14.1/fields/man/ozone2.Rd                          |    3 
 fields-14.1/fields/man/plot.Krig.Rd                       |    3 
 fields-14.1/fields/man/plot.surface.Rd                    |    3 
 fields-14.1/fields/man/poly.image.Rd                      |    3 
 fields-14.1/fields/man/predict.Krig.Rd                    |    3 
 fields-14.1/fields/man/predictSE.Krig.Rd                  |    3 
 fields-14.1/fields/man/predictSurface.Rd                  |    3 
 fields-14.1/fields/man/print.Krig.Rd                      |    3 
 fields-14.1/fields/man/pushpin.Rd                         |    3 
 fields-14.1/fields/man/qsreg.Rd                           |    3 
 fields-14.1/fields/man/quilt.plot.Rd                      |    3 
 fields-14.1/fields/man/rat.diet.Rd                        |    3 
 fields-14.1/fields/man/rdist.Rd                           |    3 
 fields-14.1/fields/man/rdist.earth.Rd                     |    3 
 fields-14.1/fields/man/registeredC.Rd                     |    3 
 fields-14.1/fields/man/ribbon.plot.Rd                     |    3 
 fields-14.1/fields/man/set.panel.Rd                       |    3 
 fields-14.1/fields/man/sim.Krig.Rd                        |  157 +-
 fields-14.1/fields/man/sim.rf.Rd                          |    3 
 fields-14.1/fields/man/smooth.2d.Rd                       |    3 
 fields-14.1/fields/man/spam2lz.Rd                         |    3 
 fields-14.1/fields/man/spatialProcess.Rd                  |    5 
 fields-14.1/fields/man/splint.Rd                          |    3 
 fields-14.1/fields/man/sreg.Rd                            |    3 
 fields-14.1/fields/man/stats.Rd                           |    3 
 fields-14.1/fields/man/stats.bin.Rd                       |    3 
 fields-14.1/fields/man/summary.Krig.Rd                    |    3 
 fields-14.1/fields/man/summary.ncdf.Rd                    |    3 
 fields-14.1/fields/man/supportsArg.Rd                     |    3 
 fields-14.1/fields/man/surface.Krig.Rd                    |    3 
 fields-14.1/fields/man/tim.colors.Rd                      |    3 
 fields-14.1/fields/man/transformx.Rd                      |    3 
 fields-14.1/fields/man/vgram.Rd                           |    3 
 fields-14.1/fields/man/vgram.matrix.Rd                    |    3 
 fields-14.1/fields/man/world.Rd                           |    3 
 fields-14.1/fields/man/xline.Rd                           |    3 
 fields-14.1/fields/man/yline.Rd                           |    3 
 fields-14.1/fields/tests/Krig.Z.test.R                    |    3 
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 fields-14.1/fields/tests/Krig.se.grid.test.R              |    3 
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 fields-14.1/fields/tests/KrigGCVREML.test.R               |    3 
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 fields-14.1/fields/tests/Likelihood.test.R                |    3 
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 fields-14.1/fields/tests/SEFixedParameters.R              |    3 
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 fields-14.1/fields/tests/Tps.test.R                       |    3 
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 fields-14.1/fields/tests/Wend.test.R                      |    3 
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 fields-14.1/fields/tests/cov.test.R                       |    3 
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 fields-14.1/fields/tests/cov.test2.R                      |    3 
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 fields-14.1/fields/tests/derivative.test.R                |    3 
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 fields-14.1/fields/tests/diag.multiply.test.R             |    3 
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 fields-14.1/fields/tests/evlpoly.test.R                   |    3 
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 fields-14.1/fields/tests/fastTpsPredict.test.R            |    3 
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 fields-14.1/fields/tests/mKrig.Z.R                        |    3 
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 fields-14.1/fields/tests/mKrig.parameters.test.R          |    3 
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 fields-14.1/fields/tests/mKrig.test.R                     |    3 
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 fields-14.1/fields/tests/mKrigMLETest.R                   |    3 
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 fields-14.1/fields/tests/mKrigREMLTest.R                  |    3 
 fields-14.1/fields/tests/mKrigREMLTest.Rout.save          |    9 
 fields-14.1/fields/tests/misc.test.R                      |    3 
 fields-14.1/fields/tests/misc.test.Rout.save              |    9 
 fields-14.1/fields/tests/offGridWeights.test.R            |    3 
 fields-14.1/fields/tests/offGridWeights.test.Rout.save    |    9 
 fields-14.1/fields/tests/offGridWeightsNEW.test.Rout.save |    9 
 fields-14.1/fields/tests/offGridWeightsNew.test.R         |    3 
 fields-14.1/fields/tests/spam.test.R                      |    3 
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Package clusrank updated to version 1.0-3 with previous version 1.0-2 dated 2022-01-23

Title: Wilcoxon Rank Tests for Clustered Data
Description: Non-parametric tests (Wilcoxon rank sum test and Wilcoxon signed rank test) for clustered data documented in Jiang et. al (2020) <doi:10.18637/jss.v096.i06>.
Author: Wenjie Wang [cre, ctb] , Yujing Jiang [aut], Mei-Ling Ting Lee [ctb], Jun Yan [ctb]
Maintainer: Wenjie Wang <wang@wwenjie.org>

Diff between clusrank versions 1.0-2 dated 2022-01-23 and 1.0-3 dated 2022-08-12

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Package CauchyCP updated to version 0.1.1 with previous version 0.1.0 dated 2021-01-08

Title: Powerful Test for Survival Data under Non-Proportional Hazards
Description: An omnibus test of change-point Cox regression models to improve the statistical power of detecting signals of non-proportional hazards patterns. The technical details can be found in Hong Zhang, Qing Li, Devan Mehrotra and Judong Shen (2021) <arXiv:2101.00059>. Extensive simulation studies demonstrate that, compared to existing tests under non-proportional hazards, the proposed CauchyCP test 1) controls the type I error better at small alpha levels; 2) increases the power of detecting time-varying effects; and 3) is more computationally efficient.
Author: Hong Zhang
Maintainer: Hong Zhang <hzhang@wpi.edu>

Diff between CauchyCP versions 0.1.0 dated 2021-01-08 and 0.1.1 dated 2022-08-12

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