Fri, 05 Aug 2022

Package voson.tcn updated to version 0.4.1 with previous version 0.3.3 dated 2022-04-05

Title: Twitter Conversation Networks and Analysis
Description: Collects tweets and metadata for threaded conversations and generates networks.
Author: Bryan Gertzel [aut, cre], Robert Ackland [ctb] , Francisca Borquez [ctb]
Maintainer: Bryan Gertzel <bryan.gertzel@anu.edu.au>

Diff between voson.tcn versions 0.3.3 dated 2022-04-05 and 0.4.1 dated 2022-08-05

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More information about voson.tcn at CRAN
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Package SOAs updated to version 1.2 with previous version 1.1 dated 2022-06-06

Title: Creation of Stratum Orthogonal Arrays
Description: Creates stratum orthogonal arrays (also known as strong orthogonal arrays). These are arrays with more levels per column than the typical orthogonal array, and whose low order projections behave like orthogonal arrays, when collapsing levels to coarser strata. Details are described in Groemping (2022) "A unifying implementation of stratum (aka strong) orthogonal arrays" <http://www1.bht-berlin.de/FB_II/reports/Report-2022-002.pdf>.
Author: Ulrike Groemping [aut, cre], Rob Carnell [ctb]
Maintainer: Ulrike Groemping <ulrike.groemping@bht-berlin.de>

Diff between SOAs versions 1.1 dated 2022-06-06 and 1.2 dated 2022-08-05

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More information about SOAs at CRAN
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Package ggseqplot updated to version 0.7.2 with previous version 0.6.2 dated 2022-07-04

Title: Render Sequence Plots using 'ggplot2'
Description: A set of wrapper functions that mainly re-produces some of the sequence plots rendered with TraMineR::seqplot() and 'TraMineRextras'. Whereas 'TraMineR' uses base R to produce the plots this library draws on 'ggplot2'. The plots are produced on the basis of a sequence object defined with TraMineR::seqdef(). The package automates the reshaping and plotting of sequence data. Resulting plots are of class 'ggplot', i.e. components can be added and tweaked using '+' and regular 'ggplot2' functions.
Author: Marcel Raab [aut, cre]
Maintainer: Marcel Raab <marcel.raab@gmail.com>

Diff between ggseqplot versions 0.6.2 dated 2022-07-04 and 0.7.2 dated 2022-08-05

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More information about ggseqplot at CRAN
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Package spatialsample updated to version 0.2.1 with previous version 0.2.0 dated 2022-06-17

Title: Spatial Resampling Infrastructure
Description: Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.
Author: Julia Silge [aut] , Michael Mahoney [aut, cre] , RStudio [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between spatialsample versions 0.2.0 dated 2022-06-17 and 0.2.1 dated 2022-08-05

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Package shinybrms updated to version 1.8.0 with previous version 1.7.0 dated 2022-04-26

Title: Graphical User Interface ('shiny' App) for 'brms'
Description: A graphical user interface (GUI) for fitting Bayesian regression models using the package 'brms' which in turn relies on 'Stan' (<https://mc-stan.org/>). The 'shinybrms' GUI is a 'shiny' app.
Author: Frank Weber [aut, cre] , Katja Ickstadt [ctb] , Änne Glass [ctb] , Thomas Park [ctb, cph] , Twitter, Inc. [ctb, cph] ), Google, LLC [ctb, cph]
Maintainer: Frank Weber <fweber144@protonmail.com>

Diff between shinybrms versions 1.7.0 dated 2022-04-26 and 1.8.0 dated 2022-08-05

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More information about shinybrms at CRAN
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Package PriceIndices updated to version 0.0.9 with previous version 0.0.8 dated 2022-07-07

Title: Calculating Bilateral and Multilateral Price Indexes
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019) <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.
Author: Jacek Bialek [aut, cre]
Maintainer: Jacek Bialek <jacek.bialek@uni.lodz.pl>

Diff between PriceIndices versions 0.0.8 dated 2022-07-07 and 0.0.9 dated 2022-08-05

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Package packageRank updated to version 0.7.0 with previous version 0.6.0 dated 2022-03-16

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package logr updated to version 1.3.2 with previous version 1.3.1 dated 2022-06-21

Title: Creates Log Files
Description: Contains functions to help create log files. The package aims to overcome the difficulty of the base R sink() command. The log_print() function will print to both the console and the file log, without interfering in other write operations.
Author: David Bosak [aut, cre], Rikard Isaksson [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package incidentally updated to version 1.0.1 with previous version 1.0.0 dated 2022-05-31

Title: Generates Incidence Matrices and Bipartite Graphs
Description: Functions to generate incidence matrices and bipartite graphs that have (1) a fixed fill rate, (2) given marginal sums, (3) marginal sums that follow given distributions, or (4) represent bill sponsorships in the US Congress <doi:10.31219/osf.io/ectms>. It can also generate an incidence matrix from an adjacency matrix, or bipartite graph from a unipartite graph, via a social process mirroring team, group, or organization formation <doi:10.48550/arXiv.2204.13670>.
Author: Zachary Neal [aut, cre]
Maintainer: Zachary Neal <zpneal@msu.edu>

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Package flexdashboard updated to version 0.6.0 with previous version 0.5.2 dated 2020-06-24

Title: R Markdown Format for Flexible Dashboards
Description: Format for converting an R Markdown document to a grid oriented dashboard. The dashboard flexibly adapts the size of it's components to the containing web page.
Author: Carson Sievert [aut, cre] , Richard Iannone [aut] , JJ Allaire [aut], Barbara Borges [aut], RStudio [cph], Keen IO [ctb, cph] , Abdullah Almsaeed [ctb, cph] , Jonas Mosbech [ctb, cph] , Noel Bossart [ctb, cph] , Lea Verou [ctb, cph] , Dmitry Baranovs [...truncated...]
Maintainer: Carson Sievert <carson@rstudio.com>

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Package cem updated to version 1.1.30 with previous version 1.1.29 dated 2021-05-28

Title: Coarsened Exact Matching
Description: Implementation of the Coarsened Exact Matching algorithm discussed along with its properties in Iacus, King, Porro (2011) <DOI:10.1198/jasa.2011.tm09599>; Iacus, King, Porro (2012) <DOI:10.1093/pan/mpr013> and Iacus, King, Porro (2019) <DOI:10.1017/pan.2018.29>.
Author: Stefano M. Iacus [aut, cre], Gary King [aut], Giuseppe Porro [aut], Richard Nielsen [aut]
Maintainer: Stefano M. Iacus <siacus@iq.harvard.edu>

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Package SurrogateRegression updated to version 0.6.0 with previous version 0.5.0 dated 2020-12-03

Title: Surrogate Outcome Regression Analysis
Description: Performs estimation and inference on a partially missing target outcome (e.g. gene expression in an inaccessible tissue) while borrowing information from a correlated surrogate outcome (e.g. gene expression in an accessible tissue). Rather than regarding the surrogate outcome as a proxy for the target outcome, this package jointly models the target and surrogate outcomes within a bivariate regression framework. Unobserved values of either outcome are treated as missing data. In contrast to imputation-based inference, no assumptions are required regarding the relationship between the target and surrogate outcomes. Estimation in the presence of bilateral outcome missingness is performed via an expectation conditional maximization either algorithm. In the case of unilateral target missingness, estimation is performed using an accelerated least squares procedure. A flexible association test is provided for evaluating hypotheses about the target regression parameters. For additional details, see: McCaw ZR, Gaynor SM, Sun R, Lin X: "Leveraging a surrogate outcome to improve inference on a partially missing target outcome" <doi:10.1111/biom.13629>.
Author: Zachary McCaw [aut, cre]
Maintainer: Zachary McCaw <zmccaw@alumni.harvard.edu>

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Package sarp.snowprofile updated to version 1.3.1 with previous version 1.2.1 dated 2022-02-09

Title: Snow Profile Analysis for Snowpack and Avalanche Research
Description: Analysis and plotting tools for snow profile data produced from manual snowpack observations and physical snowpack models. The functions in this package support snowpack and avalanche research by reading various formats of data (including CAAML, SMET, generic csv, and outputs from the snow cover model SNOWPACK), manipulate the data, and produce graphics such as stratigraphy and time series profiles. Package developed by the Simon Fraser University Avalanche Research Program <http://www.avalancheresearch.ca>. Graphics apply visualization concepts from Horton, Nowak, and Haegeli (2020, <doi:10.5194/nhess-20-1557-2020>).
Author: Pascal Haegeli [aut, cre], Simon Horton [aut], Florian Herla [aut], SFU Avalanche Research Program [fnd]
Maintainer: Pascal Haegeli <pascal_haegeli@sfu.ca>

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Package proxyC updated to version 0.3.0 with previous version 0.2.4 dated 2021-12-10

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package emmeans updated to version 1.8.0 with previous version 1.7.5 dated 2022-06-22

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Paul Buerkner [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package LRTesteR updated to version 0.2.1 with previous version 0.1 dated 2022-06-02

Title: Likelihood Ratio Tests
Description: A collection of hypothesis tests and confidence intervals based on the likelihood ratio <https://en.wikipedia.org/wiki/Likelihood-ratio_test>.
Author: Greg McMahan
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package groupedSurv updated to version 1.0.4.3 with previous version 1.0.4.2 dated 2020-11-12

Title: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function
Description: These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent, 2002).
Author: Jiaxing Lin [aut], Alexander Sibley [aut], Tracy Truong [aut], Kouros Owzar [aut], Zhiguo Li [aut], Yu Jiang [ctb], Janice McCarthy [ctb], Andrew Allen [ctb]
Maintainer: Alexander Sibley <dcibioinformatics@duke.edu>

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Package hereR updated to version 0.9.0 with previous version 0.8.2 dated 2021-11-19

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] , Daniel Possenriede [ctb]
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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Package leaflegend updated to version 1.0.0 with previous version 0.6.1 dated 2022-03-03

Title: Add Custom Legends to 'leaflet' Maps
Description: Provides extensions to the 'leaflet' package to customize legends with images, text styling, orientation, sizing, and symbology and functions to create symbols to plot on maps.
Author: Thomas Roh [aut, cre], Ricardo Rodrigo Basa [ctb]
Maintainer: Thomas Roh <thomas@roh.engineering>

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Package fritools updated to version 3.6.0 with previous version 3.5.1 dated 2022-07-14

Title: Utilities for the Forest Research Institute of the State Baden-Wuerttemberg
Description: Miscellaneous utilities, tools and helper functions for finding and searching files on disk, searching for and removing R objects from the workspace. These are utilities for packages <https://CRAN.R-project.org/package=cleanr>, <https://CRAN.R-project.org/package=document>, <https://CRAN.R-project.org/package=fakemake>, <https://CRAN.R-project.org/package=packager>, <https://CRAN.R-project.org/package=rasciidoc> and <https://CRAN.R-project.org/package=treePlotArea>. Does not import or depend on any third party package, but on core R only (i.e. it may depend on packages with priority 'base').
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package crops updated to version 1.0.3 with previous version 1.0.1 dated 2021-11-04

Title: Changepoints for a Range of Penalties (CROPS)
Description: Implements the Changepoints for a Range of Penalties (CROPS) algorithm of Haynes et al. (2017) <doi:10.1080/10618600.2015.1116445> for finding all of the optimal segmentations for multiple penalty values over a continuous range.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut], Idris Eckley [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

Diff between crops versions 1.0.1 dated 2021-11-04 and 1.0.3 dated 2022-08-05

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Package treePlotArea updated to version 1.2.0 with previous version 1.1.0 dated 2022-07-22

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>

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Package tidysmd updated to version 0.1.1 with previous version 0.1.0 dated 2021-10-25

Title: Tidy Standardized Mean Differences
Description: Tidy standardized mean differences ('SMDs'). 'tidysmd' uses the 'smd' package to calculate standardized mean differences for variables in a data frame, returning the results in a tidy format.
Author: Malcolm Barrett [aut, cre]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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Package FielDHub updated to version 1.2.0 with previous version 0.1.0 dated 2021-05-19

Title: A Shiny App for Design of Experiments in Life Sciences
Description: A shiny design of experiments (DOE) app that aids in the creation of traditional, un-replicated, augmented and partially-replicated designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
Author: Didier Murillo [cre, aut], Salvador Gezan [aut], Ana Heilman [ctb], Thomas Walk [ctb], Johan Aparicio [ctb], Matthew Seefeldt [ctb], Richard Horsley [ctb], North Dakota State University [cph]
Maintainer: Didier Murillo <didier.murilloflorez@ndsu.edu>

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Package coala updated to version 0.7.0 with previous version 0.6.1 dated 2022-02-14

Title: A Framework for Coalescent Simulation
Description: Coalescent simulators can rapidly simulate biological sequences evolving according to a given model of evolution. You can use this package to specify such models, to conduct the simulations and to calculate additional statistics from the results (Staab, Metzler, 2016 <doi:10.1093/bioinformatics/btw098>). It relies on existing simulators for doing the simulation, and currently supports the programs 'ms', 'msms' and 'scrm'. It also supports finite-sites mutation models by combining the simulators with the program 'seq-gen'.
Author: Paul Staab [aut], Dirk Metzler [aut, ths, cre], Jorge E. Amaya Romero [ctb]
Maintainer: Dirk Metzler <metzler@bio.lmu.de>

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Package globals updated to version 0.16.0 with previous version 0.15.1 dated 2022-06-24

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies (ordered, liberal, or conservative). The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in parallel, distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph], Davis Vaughan [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package eive updated to version 3.1.0 with previous version 2.3 dated 2018-05-16

Title: An Algorithm for Reducing Errors-in-Variable Bias in Simple Linear Regression
Description: Performs a compact genetic algorithm search to reduce errors-in-variables bias in linear regression. The algorithm estimates the regression parameters with lower biases and higher variances but mean-square errors (MSEs) are reduced.
Author: Mehmet Hakan Satman , Erkin Diyarbakirlioglu
Maintainer: Mehmet Hakan Satman <mhsatman@istanbul.edu.tr>

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Package cat2cat updated to version 0.4.2 with previous version 0.4.1 dated 2022-06-08

Title: Handling an Inconsistently Coded Categorical Variable in a Panel Dataset
Description: Unifying of an inconsistently coded categorical variable between two different time points in accordance with a mapping table. The main rule is to replicate the observation if it could be assign to a few categories. Then using simple frequencies or statistical methods to approximate probabilities of being assign to each of them. This procedure was invented and implemented in the paper by (Nasinski, Majchrowska and Broniatowska (2020) <doi:10.24425/cejeme.2020.134747>).
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

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Package ymlthis updated to version 0.1.7 with previous version 0.1.6 dated 2022-06-24

Title: Write 'YAML' for 'R Markdown', 'bookdown', 'blogdown', and More
Description: Write 'YAML' front matter for R Markdown and related documents. Work with 'YAML' objects more naturally and write the resulting 'YAML' to your clipboard or to 'YAML' files related to your project.
Author: Malcolm Barrett [aut, cre] , Richard Iannone [aut] , RStudio [cph, fnd]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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Package saemix updated to version 3.1 with previous version 3.0 dated 2022-02-08

Title: Stochastic Approximation Expectation Maximization (SAEM) Algorithm
Description: The 'saemix' package implements the Stochastic Approximation EM algorithm for parameter estimation in (non)linear mixed effects models. The SAEM algorithm (i) computes the maximum likelihood estimator of the population parameters, without any approximation of the model (linearisation, quadrature approximation,...), using the Stochastic Approximation Expectation Maximization (SAEM) algorithm, (ii) provides standard errors for the maximum likelihood estimator (iii) estimates the conditional modes, the conditional means and the conditional standard deviations of the individual parameters, using the Hastings-Metropolis algorithm (see Comets et al. (2017) <doi:10.18637/jss.v080.i03>). Many applications of SAEM in agronomy, animal breeding and PKPD analysis have been published by members of the Monolix group. The full PDF documentation for the package including references about the algorithm and examples can be downloaded on the github of the IAME research institute for 'saemix': <https://github.com/iame-researchCenter/saemix/blob/7638e1b09ccb01cdff173068e01c266e906f76eb/docsaem.pdf>.
Author: Emmanuelle Comets [aut, cre], Audrey Lavenu [aut], Marc Lavielle [aut], Belhal Karimi [aut], Maud Delattre [ctb], Marilou Chanel [ctb], Johannes Ranke [ctb] , Sofia Kaisaridi [ctb], Lucie Fayette [ctb]
Maintainer: Emmanuelle Comets <emmanuelle.comets@inserm.fr>

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Package hhsmm updated to version 0.3.3 with previous version 0.3.2 dated 2022-05-29

Title: Hidden Hybrid Markov/Semi-Markov Model Fitting
Description: Develops algorithms for fitting, prediction, simulation and initialization of the hidden hybrid Markov/semi-Markov model, introduced by Guedon (2005) <doi:10.1016/j.csda.2004.05.033>, which also includes several tools for handling missing data, nonparametric mixture of B-splines emissions (Langrock et al., 2015 <doi:10.1111/biom.12282>), fitting regime switching regression (Kim et al., 2008 <doi:10.1016/j.jeconom.2007.10.002>) and auto-regressive hidden hybrid Markov/semi-Markov model, spline-based nonparametric estimation of additive state-switching models (Langrock et al., 2018 <doi:10.1111/stan.12133>) and many other useful tools (read for more description: Amini et al., 2022 <doi:10.1007/s00180-022-01248-x> and its arxiv version: <arXiv:2109.12489>).
Author: Morteza Amini [aut, cre, cph], Afarin Bayat [aut], Reza Salehian [aut]
Maintainer: Morteza Amini <morteza.amini@ut.ac.ir>

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Package ggarchery updated to version 0.4.1 with previous version 0.3.0 dated 2022-07-20

Title: Flexible Segment Geoms with Arrows for 'ggplot2'
Description: Geoms for placing arrowheads at multiple points along a segment, not just at the end; position function to shift starts and ends of arrows to avoid exactly intersecting points.
Author: Matthew Hall [aut, cre]
Maintainer: Matthew Hall <matthew.hall@bdi.ox.ac.uk>

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Package estimability updated to version 1.4.1 with previous version 1.4 dated 2022-07-03

Title: Tools for Assessing Estimability of Linear Predictions
Description: Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).
Author: Russell Lenth [aut, cre, cph]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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Package bnClustOmics updated to version 1.1.1 with previous version 1.0.9 dated 2022-06-10

Title: Bayesian Network-Based Clustering of Multi-Omics Data
Description: Unsupervised Bayesian network-based clustering of multi-omics data. Both binary and continuous data types are allowed as inputs. The package serves a dual purpose: it clusters (patient) samples and learns the multi-omics networks that characterize discovered clusters. Prior network knowledge (e.g., public interaction databases) can be included via blacklisting and penalization matrices. For clustering, the EM algorithm is employed. For structure search at the M-step, the Bayesian approach is used. The output includes membership assignments of samples, cluster-specific MAP networks, and posterior probabilities of all edges in the discovered networks. In addition to likelihood, AIC and BIC scores are returned. They can be used for choosing the number of clusters. References: P. Suter et al. (2021) <doi:10.1101/2021.12.16.473083>, J. Kuipers and P. Suter and G. Moffa (2022) <doi:10.1080/10618600.2021.2020127>, J. Kuipers et al. (2018) <doi:10.1038/s41467-018-06867-x>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@gmail.com>

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Package simplevis updated to version 6.4.0 with previous version 6.3.0 dated 2022-06-07

Title: Wrappers to Simplify Beautiful 'ggplot2' and 'leaflet' Visualisation
Description: Wrapper functions around the amazing 'ggplot2' and 'leaflet' packages that aims to simplify beautiful 'ggplot2' and 'leaflet' visualisation. Precursor package to the 'ggblanket' package.
Author: David Hodge [aut, cre] , Kate Lee [ctb] , Xavier Miles [ctb] , Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package targets updated to version 0.13.1 with previous version 0.12.1 dated 2022-06-03

Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between targets versions 0.12.1 dated 2022-06-03 and 0.13.1 dated 2022-08-05

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 170 files changed, 1771 insertions(+), 667 deletions(-)

More information about targets at CRAN
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Package sship updated to version 0.8.0 with previous version 0.7.4 dated 2022-01-31

Title: Tool for Secure Shipment of Content
Description: Convenient tools for exchanging files securely from within R. By encrypting the content safe passage of files (shipment) can be provided by common but insecure carriers such as ftp and email. Based on asymmetric cryptography no management of shared secrets is needed to make a secure shipment as long as authentic public keys are available. Public keys used for secure shipments may also be obtained from external providers as part of the overall process. Transportation of files will require that relevant services such as ftp and email servers are available.
Author: Are Edvardsen [aut, cre]
Maintainer: Are Edvardsen <biorakel@gmail.com>

Diff between sship versions 0.7.4 dated 2022-01-31 and 0.8.0 dated 2022-08-05

 sship-0.7.4/sship/man/sship_keygen.Rd                                                                           |only
 sship-0.8.0/sship/DESCRIPTION                                                                                   |    8 -
 sship-0.8.0/sship/MD5                                                                                           |   53 +++----
 sship-0.8.0/sship/NAMESPACE                                                                                     |    3 
 sship-0.8.0/sship/NEWS.md                                                                                       |    7 
 sship-0.8.0/sship/R/config.R                                                                                    |    2 
 sship-0.8.0/sship/R/dec.R                                                                                       |   32 ++--
 sship-0.8.0/sship/R/enc.R                                                                                       |   46 +++---
 sship-0.8.0/sship/R/github.R                                                                                    |   56 +++++--
 sship-0.8.0/sship/R/misc.R                                                                                      |   71 ++++++++--
 sship-0.8.0/sship/R/sship.R                                                                                     |    2 
 sship-0.8.0/sship/README.md                                                                                     |    2 
 sship-0.8.0/sship/man/dec.Rd                                                                                    |   17 +-
 sship-0.8.0/sship/man/enc.Rd                                                                                    |   33 ++--
 sship-0.8.0/sship/man/github.Rd                                                                                 |   21 +-
 sship-0.8.0/sship/man/keygen.Rd                                                                                 |only
 sship-0.8.0/sship/man/pubkey_filter.Rd                                                                          |only
 sship-0.8.0/sship/man/ship.Rd                                                                                   |    2 
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 sship-0.8.0/sship/tests/testthat/setup.R                                                                        |    1 
 sship-0.8.0/sship/tests/testthat/test-dec.R                                                                     |    7 
 sship-0.8.0/sship/tests/testthat/test-enc.R                                                                     |    2 
 sship-0.8.0/sship/tests/testthat/test-github.R                                                                  |   15 ++
 sship-0.8.0/sship/tests/testthat/test-misc.R                                                                    |   71 +++++++++-
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Package RcppXts updated to version 0.0.5 with previous version 0.0.4 dated 2013-01-19

Title: Interface the 'xts' API via 'Rcpp'
Description: Access to some of the C level functions of the 'xts' package. In its current state, the package is mostly a proof-of-concept to support adding useful functions, and does not yet add any of its own.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppXts versions 0.0.4 dated 2013-01-19 and 0.0.5 dated 2022-08-05

 ChangeLog              |   80 +++++++++++++++++++++++++++++++++++++++++++++++++
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 10 files changed, 229 insertions(+), 26 deletions(-)

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Permanent link

Package mlr3measures updated to version 0.5.0 with previous version 0.4.1 dated 2022-01-13

Title: Performance Measures for 'mlr3'
Description: Implements multiple performance measures for supervised learning. Includes over 40 measures for regression and classification. Additionally, meta information about the performance measures can be queried, e.g. what the best and worst possible performances scores are.
Author: Michel Lang [cre, aut] , Martin Binder [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3measures versions 0.4.1 dated 2022-01-13 and 0.5.0 dated 2022-08-05

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Permanent link

Package photobiology updated to version 0.10.12 with previous version 0.10.11 dated 2022-07-11

Title: Photobiological Calculations
Description: Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] , Titta K. Kotilainen [ctb] , Glenn Davis [ctb], Agnese Fazio [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between photobiology versions 0.10.11 dated 2022-07-11 and 0.10.12 dated 2022-08-05

 DESCRIPTION                                |   18 
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 NAMESPACE                                  |    2 
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Package paradox updated to version 0.10.0 with previous version 0.9.0 dated 2022-04-18

Title: Define and Work with Parameter Spaces for Complex Algorithms
Description: Define parameter spaces, constraints and dependencies for arbitrary algorithms, to program on such spaces. Also includes statistical designs and random samplers. Objects are implemented as 'R6' classes.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Xudong Sun [aut] , Martin Binder [aut], Marc Becker [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between paradox versions 0.9.0 dated 2022-04-18 and 0.10.0 dated 2022-08-05

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Package occCite updated to version 0.5.6 with previous version 0.5.4 dated 2022-03-21

Title: Querying and Managing Large Biodiversity Occurrence Datasets
Description: Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.
Author: Hannah L. Owens [aut, cre] , Cory Merow [aut] , Brian Maitner [aut] , Jamie M. Kass [aut] , Vijay Barve [aut] , Robert P. Guralnick [aut] , Damiano Oldoni [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/407>)
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

Diff between occCite versions 0.5.4 dated 2022-03-21 and 0.5.6 dated 2022-08-05

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Package md.log updated to version 0.2.0 with previous version 0.1.1 dated 2017-04-26

Title: Produces Markdown Log File with a Built-in Function Call
Description: Produces clean and neat Markdown log file and also provide an argument to include the function call inside the Markdown log.
Author: E. F. Haghish
Maintainer: E. F. Haghish <haghish@uio.no>

Diff between md.log versions 0.1.1 dated 2017-04-26 and 0.2.0 dated 2022-08-05

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Package HDSpatialScan updated to version 1.0.3 with previous version 1.0.2 dated 2021-07-16

Title: Multivariate and Functional Spatial Scan Statistics
Description: Allows to detect spatial clusters of abnormal values on multivariate or functional data. Martin KULLDORFF and Lan HUANG and Kevin KONTY (2009) <doi:10.1186/1476-072X-8-58>, Inkyung JUNG and Ho Jin CHO (2015) <doi:10.1186/s12942-015-0024-6>, Lionel CUCALA and Michael GENIN and Caroline LANIER and Florent OCCELLI (2017) <doi:10.1016/j.spasta.2017.06.001>, Lionel CUCALA and Michael GENIN and Florent OCCELLI and Julien SOULA (2019) <doi:10.1016/j.spasta.2018.10.002>, Zaineb SMIDA and Lionel CUCALA and Ali GANNOUN (2020) <https://hal.archives-ouvertes.fr/hal-02908496>, Camille FREVENT and Mohamed-Salem AHMED and Matthieu MARBAC and Michael GENIN (2021) <arXiv:2011.03482>, Camille FREVENT and Mohamed-Salem AHMED and Sophie DABO-NIANG and Michael GENIN (2021) <arXiv:2103.14401>.
Author: Camille FREVENT [aut, cre, cph], Mohamed-Salem AHMED [aut], Julien SOULA [aut], Zaineb SMIDA [aut], Lionel CUCALA [aut], Sophie DABO-NIANG [aut], Michael GENIN [aut]
Maintainer: Camille FREVENT <camille.frevent@univ-lille.fr>

Diff between HDSpatialScan versions 1.0.2 dated 2021-07-16 and 1.0.3 dated 2022-08-05

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Package bspm updated to version 0.3.10 with previous version 0.3.9 dated 2022-01-04

Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions. Provides functions to manage packages via the distribution's package manager. Also provides transparent integration with R's install.packages() and a fallback mechanism. When installed as a system package, interacts with the system's package manager without requiring administrative privileges via an integrated D-Bus service; otherwise, uses sudo. Currently, the following backends are supported: DNF, APT, ALPM.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

Diff between bspm versions 0.3.9 dated 2022-01-04 and 0.3.10 dated 2022-08-05

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Package BiDAG updated to version 2.1.1 with previous version 2.1.0 dated 2022-06-27

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@gmail.com>

Diff between BiDAG versions 2.1.0 dated 2022-06-27 and 2.1.1 dated 2022-08-05

 DESCRIPTION |    8 ++++----
 MD5         |    2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

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Package UPG updated to version 0.3.1 with previous version 0.3.0 dated 2022-06-21

Title: Efficient Bayesian Algorithms for Binary and Categorical Data Regression Models
Description: Efficient Bayesian implementations of probit, logit, multinomial logit and binomial logit models. Functions for plotting and tabulating the estimation output are available as well. Estimation is based on Gibbs sampling where the Markov chain Monte Carlo algorithms are based on the latent variable representations and marginal data augmentation algorithms outlined in Fr<fc>hwirth-Schnatter S., Zens G., Wagner H. (2020) <arXiv:2011.06898>.

Permanent link

New package MLVSBM with initial version 0.2.4
Package: MLVSBM
Title: A Stochastic Block Model for Multilevel Networks
Version: 0.2.4
Description: Simulation, inference and clustering of multilevel networks using a Stochastic Block Model framework as described in Chabert-Liddell, Barbillon, Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>. A multilevel network is defined as the junction of two interaction networks, the upper level or inter-organizational level and the lower level or inter-individual level. The inter-level represents an affiliation relationship.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/Chabert-Liddell/MLVSBM
BugReports: https://github.com/Chabert-Liddell/MLVSBM/issues
Depends: R (>= 3.5.0)
Imports: R6, blockmodels, ape, magrittr, cluster
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, ggplot2 (>= 3.3.2), ggforce, spelling, cowplot, reshape2, dplyr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2022-08-04 17:05:33 UTC; stc
Author: Saint-Clair Chabert-Liddell [aut, cre]
Maintainer: Saint-Clair Chabert-Liddell <academic@chabert-liddell.com>
Repository: CRAN
Date/Publication: 2022-08-05 10:10:05 UTC

More information about MLVSBM at CRAN
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Package langevitour updated to version 0.5 with previous version 0.4 dated 2022-05-10

Title: Langevin Tour
Description: An HTML widget that randomly tours 2D projections of numerical data. A random walk through projections of the data is shown. The user can manipulate the plot to use specified axes, or turn on Guided Tour mode to find an informative projection of the data. Groups within the data can be hidden or shown, as can particular axes. Known projections of interest can be added as "extra axes" and also manipulated. The underlying method to produce the random walk and projection pursuit uses Langevin dynamics. The widget can be used from within R, or included in a self-contained Rmarkdown document, or used in a Shiny app.
Author: Paul Harrison [aut, cre]
Maintainer: Paul Harrison <pfh@logarithmic.net>

Diff between langevitour versions 0.4 dated 2022-05-10 and 0.5 dated 2022-08-05

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Package gittargets updated to version 0.0.4 with previous version 0.0.3 dated 2022-02-12

Title: Data Version Control for the Targets Package
Description: In computationally demanding data analysis pipelines, the 'targets' R package (2021, <doi:10.21105/joss.02959>) maintains an up-to-date set of results while skipping tasks that do not need to rerun. This process increases speed and increases trust in the final end product. However, it also overwrites old output with new output, and past results disappear by default. To preserve historical output, the 'gittargets' package captures version-controlled snapshots of the data store, and each snapshot links to the underlying commit of the source code. That way, when the user rolls back the code to a previous branch or commit, 'gittargets' can recover the data contemporaneous with that commit so that all targets remain up to date.
Author: William Michael Landau [aut, cre] , Saras Windecker [rev], David Neuzerling [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package ggblanket updated to version 1.3.0 with previous version 1.2.0 dated 2022-07-01

Title: Wrappers to Simplify 'ggplot2' Visualisation
Description: Simplify visualisation with 'ggplot2' wrapper functions.
Author: David Hodge [aut, cre]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggblanket versions 1.2.0 dated 2022-07-01 and 1.3.0 dated 2022-08-05

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More information about ggblanket at CRAN
Permanent link

Package tarchetypes updated to version 0.7.0 with previous version 0.6.0 dated 2022-04-19

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between tarchetypes versions 0.6.0 dated 2022-04-19 and 0.7.0 dated 2022-08-05

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More information about tarchetypes at CRAN
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Package curtailment updated to version 0.2.0 with previous version 0.1.1 dated 2021-08-05

Title: Finds Binary Outcome Designs Using Stochastic Curtailment
Description: Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2019) <arXiv:1909.03017> and Law et al. (2021) <doi:10.1002/pst.2067> respectively. Designs can be single-stage or multi-stage. Non-stochastic curtailment is possible as a special case. Desired error-rates, maximum sample size and lower and upper anticipated response rates are inputted and suitable designs are returned with operating characteristics. Stopping boundaries and visualisations are also available. The package can find designs using other approaches, for example designs by Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Mander and Thompson (2010) <doi:10.1016/j.cct.2010.07.008>. Other features: compare and visualise designs using a weighted sum of expected sample sizes under the null and alternative hypotheses and maximum sample size; visualise any binary outcome design.
Author: Martin Law [aut, cre]
Maintainer: Martin Law <martin.law@mrc-bsu.cam.ac.uk>

Diff between curtailment versions 0.1.1 dated 2021-08-05 and 0.2.0 dated 2022-08-05

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More information about curtailment at CRAN
Permanent link

Package cricketdata updated to version 0.2.0 with previous version 0.1.1 dated 2022-02-13

Title: International Cricket Data
Description: Data on international and other major cricket matches from ESPNCricinfo <https://www.espncricinfo.com> and Cricsheet <https://cricsheet.org>. This package provides some functions to download the data into tibbles ready for analysis.
Author: Rob Hyndman [aut, cre], Timothy Hyndman [aut], Charles Gray [aut], Sayani Gupta [aut], Jacquie Tran [aut], Hassan Rafique [aut], Puwasala Gamakumara [ctb], Alex Whan [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between cricketdata versions 0.1.1 dated 2022-02-13 and 0.2.0 dated 2022-08-05

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 MD5                         |   53 ++--
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More information about cricketdata at CRAN
Permanent link


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