Tue, 30 May 2023

Package StanHeaders updated to version 2.26.26 with previous version 2.26.25 dated 2023-05-17

Title: C++ Header Files for Stan
Description: The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The [...truncated...]
Author: Ben Goodrich [cre, aut], Joshua Pritikin [ctb], Andrew Gelman [aut], Bob Carpenter [aut], Matt Hoffman [aut], Daniel Lee [aut], Michael Betancourt [aut], Marcus Brubaker [aut], Jiqiang Guo [aut], Peter Li [aut], Allen Riddell [aut], Marco Inacio [aut [...truncated...]
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package incidence2 updated to version 2.1.0 with previous version 2.0.0 dated 2023-03-17

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package dowser updated to version 1.2.0 with previous version 1.1.0 dated 2022-10-04

Title: B Cell Receptor Phylogenetics Toolkit
Description: Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees. Provides methods to 1) reconstruct unmutated ancestral sequences, 2) build B cell phylogenetic trees using multiple methods, 3) visualize trees with metadata at the tips, 4) reconstruct intermediate sequences, 5) detect biased ancestor-descendant relationships among metadata types Workflow examples available at documentation site (see URL). Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.
Author: Kenneth Hoehn [aut, cre], Cole Jensen [ctb], Susanna Marquez [ctb], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Kenneth Hoehn <kenneth.hoehn@yale.edu>

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Package CodelistGenerator updated to version 1.3.0 with previous version 1.2.0 dated 2023-05-04

Title: Generate Code Lists for the OMOP Common Data Model
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CodelistGenerator versions 1.2.0 dated 2023-05-04 and 1.3.0 dated 2023-05-30

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Package shroomDK updated to version 0.2.1 with previous version 0.2.0 dated 2023-05-11

Title: Accessing the Flipside Crypto ShroomDK API
Description: Programmatic access to Flipside Crypto data via the Compass RPC API: <https://api-docs.flipsidecrypto.xyz/>. As simple as auto_paginate_query() but with core functions as needed for troubleshooting. Note, 0.1.1 support deprecated 2023-05-31.
Author: Carlos Mercado
Maintainer: Carlos Mercado <carlos.mercado@flipsidecrypto.com>

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Package survSens updated to version 1.1.0 with previous version 0.1.0 dated 2020-04-29

Title: Sensitivity Analysis with Time-to-Event Outcomes
Description: Performs a dual-parameter sensitivity analysis of treatment effect to unmeasured confounding in observational studies with either survival or competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020) <doi:10.1002/sim.8672>.
Author: Rong Huang, Ronghui Xu
Maintainer: Rong Huang <roh019@ucsd.edu>

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Package elevatr updated to version 0.4.4 with previous version 0.4.2 dated 2022-01-07

Title: Access Elevation Data from Various APIs
Description: Several web services are available that provide access to elevation data. This package provides access to several of those services and returns elevation data either as a SpatialPointsDataFrame from point elevation services or as a raster object from raster elevation services. Currently, the package supports access to the Amazon Web Services Terrain Tiles <https://registry.opendata.aws/terrain-tiles/>, the Open Topography Global Datasets API <https://opentopography.org/developers/>, and the USGS Elevation Point Query Service <https://apps.nationalmap.gov/epqs/>.
Author: Jeffrey Hollister [aut, cre] , Tarak Shah [ctb], Alec L. Robitaille [ctb] , Marcus W. Beck [rev] , Mike Johnson [ctb]
Maintainer: Jeffrey Hollister <hollister.jeff@epa.gov>

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New package halfmoon with initial version 0.1.0
Package: halfmoon
Title: Techniques to Build Better Balance
Version: 0.1.0
Description: Build better balance in causal inference models. 'halfmoon' helps you assess propensity score models for balance between groups using metrics like standardized mean differences and visualization techniques like mirrored histograms. 'halfmoon' supports both weighting and matching techniques.
License: MIT + file LICENSE
URL: https://github.com/r-causal/halfmoon, https://r-causal.github.io/halfmoon/
BugReports: https://github.com/r-causal/halfmoon/issues
Depends: R (>= 2.10)
Imports: cli, ggplot2, tidyselect, tidysmd (>= 0.2.0)
Suggests: covr, testthat (>= 3.0.0), vdiffr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-30 17:15:48 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 18:20:02 UTC

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New package boinet with initial version 0.0.3
Package: boinet
Version: 0.0.3
Title: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family
Description: Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), multicategorical efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Iso, mfp, copula
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-30 16:04:52 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 18:10:02 UTC

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Package largeList (with last version 0.3.1) was removed from CRAN

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

2017-04-17 0.3.1
2016-11-05 0.3.0
2016-08-28 0.2.0
2016-07-20 0.1.0

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Package nestedLogit updated to version 0.3.0 with previous version 0.2.1 dated 2023-05-15

Title: Nested Dichotomy Logistic Regression Models
Description: Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising and plotting those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
Author: John Fox [aut] , Michael Friendly [aut, cre] , Achim Zeileis [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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New package glossary with initial version 1.0.0
Package: glossary
Title: Glossaries for Markdown and Quarto Documents
Date: 2023-05-30
Version: 1.0.0
Description: Add glossaries to markdown and quarto documents by tagging individual words. Definitions can be provided inline or in a separate file.
License: CC BY 4.0
Encoding: UTF-8
Imports: kableExtra, knitr, markdown, rvest, xml2, yaml
Suggests: covr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/debruine/glossary, https://debruine.github.io/glossary/
BugReports: https://github.com/debruine/glossary/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-30 11:51:30 UTC; debruine
Author: Lisa DeBruine [aut, cre, cph]
Maintainer: Lisa DeBruine <debruine@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 18:00:02 UTC

More information about glossary at CRAN
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Package Microsoft365R updated to version 2.4.0 with previous version 2.3.4 dated 2022-03-16

Title: Interface to the 'Microsoft 365' Suite of Cloud Services
Description: An interface to the 'Microsoft 365' (formerly known as 'Office 365') suite of cloud services, building on the framework supplied by the 'AzureGraph' package. Enables access from R to data stored in 'Teams', 'SharePoint Online' and 'OneDrive', including the ability to list drive folder contents, upload and download files, send messages, and retrieve data lists. Also provides a full-featured 'Outlook' email client, with the ability to send emails and manage emails and mail folders.
Author: Hong Ooi [aut, cre], Roman Zenka [ctb], Robert Ashton [ctb], Philip Zheng [ctb], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package RoBSA updated to version 1.0.2 with previous version 1.0.1 dated 2023-03-13

Title: Robust Bayesian Survival Analysis
Description: A framework for estimating ensembles of parametric survival models with different parametric families. The RoBSA framework uses Bayesian model-averaging to combine the competing parametric survival models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual predictors or preference for a parametric family (Bartoš, Aust & Haaf, 2022, <doi:10.1186/s12874-022-01676-9>). The user can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, fit diagnostics, and prior distribution calibration.
Author: Frantisek Bartos [aut, cre] , Julia M. Haaf [ths] , Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between RoBSA versions 1.0.1 dated 2023-03-13 and 1.0.2 dated 2023-05-30

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Permanent link

Package ClusBoot updated to version 1.0.1 with previous version 1.0 dated 2019-12-13

Title: Bootstrap a Clustering Solution to Establish the Stability of the Clusters
Description: Providing a cluster allocation for n samples, either with an $n \times p$ data matrix or an $n \times n$ distance matrix, a bootstrap procedure is performed. The proportion of bootstrap replicates where a pair of samples cluster in the same cluster indicates who tightly the samples in a particular cluster clusters together.
Author: Sugnet Lubbe [aut, cre, cph]
Maintainer: Sugnet Lubbe <slubbe@sun.ac.za>

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Package rextendr updated to version 0.3.0 with previous version 0.2.0 dated 2021-06-15

Title: Call Rust Code from R using the 'extendr' Crate
Description: Provides functions to compile and load Rust code from R, similar to how 'Rcpp' or 'cpp11' allow easy interfacing with C++ code. Also provides helper functions to create R packages that use Rust code. Under the hood, the Rust crate 'extendr' is used to do all the heavy lifting.
Author: Claus O. Wilke [aut] , Andy Thomason [aut], Mossa M. Reimert [aut], Ilia Kosenkov [aut, cre] , Hiroaki Yutani [aut] , Malcolm Barrett [aut] , Josiah Parry [ctb]
Maintainer: Ilia Kosenkov <ilia.kosenkov@outlook.com>

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Package nopaco updated to version 1.0.7 with previous version 1.0.6 dated 2019-07-06

Title: Non-Parametric Concordance Coefficient
Description: A non-parametric test for multi-observer concordance and differences between concordances in (un)balanced data.
Author: Rowan Kuiper [cre, aut] , Remco Hoogenboezem [aut], Sjoerd Huisman [ctb] , Pieter Sonneveld [ths], Mark van Duin [ths]
Maintainer: Rowan Kuiper <r.kuiper.emc@gmail.com>

Diff between nopaco versions 1.0.6 dated 2019-07-06 and 1.0.7 dated 2023-05-30

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Package GeoModels updated to version 1.0.8 with previous version 1.0.7 dated 2023-03-14

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) simulation and inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associ [...truncated...]
Author: Moreno Bevilacqua [aut, cre] , Victor Morales-Onate [aut] , Christian Caamano-Carrillo [aut]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 1.0.7 dated 2023-03-14 and 1.0.8 dated 2023-05-30

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Permanent link

Package FIESTA updated to version 3.5.4 with previous version 3.5.3 dated 2023-05-03

Title: Forest Inventory Estimation and Analysis
Description: A research estimation tool for analysts that work with sample-based inventory data from the U.S. Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program.
Author: Tracey Frescino [aut], Gretchen Moisen [aut], Paul Patterson [aut], Chris Toney [aut], Grayson White [aut, cre]
Maintainer: Grayson White <graysonwhite13@gmail.com>

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Package ergm.ego updated to version 1.1.0 with previous version 1.0.1 dated 2022-05-26

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.
Author: Pavel N. Krivitsky [aut, cre] , Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], Michal Bojanowski [ctb] , Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm.ego versions 1.0.1 dated 2022-05-26 and 1.1.0 dated 2023-05-30

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Package countrycode updated to version 1.5.0 with previous version 1.4.0 dated 2022-05-04

Title: Convert Country Names and Country Codes
Description: Standardize country names, convert them into one of 40 different coding schemes, convert between coding schemes, and assign region descriptors.
Author: Vincent Arel-Bundock [aut, cre] , CJ Yetman [ctb] , Nils Enevoldsen [ctb] , Samuel Meichtry [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between countrycode versions 1.4.0 dated 2022-05-04 and 1.5.0 dated 2023-05-30

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Package torchvisionlib updated to version 0.4.0 with previous version 0.3.0 dated 2022-10-31

Title: Additional Operators for Image Models
Description: Implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.
Author: Daniel Falbel [aut, cre], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between torchvisionlib versions 0.3.0 dated 2022-10-31 and 0.4.0 dated 2023-05-30

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Package RoBTT updated to version 1.1.0 with previous version 1.0.2 dated 2023-03-30

Title: Robust Bayesian T-Test
Description: An implementation of Bayesian model-averaged t-test that allows users to draw inference about the presence vs absence of the effect, heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model ensembles of models created as a combination of the competing hypotheses and uses Bayesian model-averaging to combine the models using posterior model probabilities. Users can obtain the model-averaged posterior distributions and inclusion Bayes factors which account for the uncertainty in the data generating process (Maier et al., 2022, <doi:10.31234/osf.io/d5zwc>). Users can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package ontologyIndex updated to version 2.11 with previous version 2.10 dated 2022-08-24

Title: Reading Ontologies into R
Description: Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package tergm updated to version 4.2.0 with previous version 4.1.1 dated 2022-11-08

Title: Fit, Simulate and Diagnose Models for Network Evolution Based on Exponential-Family Random Graph Models
Description: An integrated set of extensions to the 'ergm' package to analyze and simulate network evolution based on exponential-family random graph models (ERGM). 'tergm' is a part of the 'statnet' suite of packages for network analysis. See Krivitsky and Handcock (2014) <doi:10.1111/rssb.12014> and Carnegie, Krivitsky, Hunter, and Goodreau (2015) <doi:10.1080/10618600.2014.903087>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [aut, ths], David R. Hunter [ctb], Steven M. Goodreau [ctb, ths], Martina Morris [ctb, ths], Nicole Bohme Carnegie [ctb], Carter T. Butts [ctb], Ayn Leslie-Cook [ctb], Skye Bender-deMoll [ctb], Li Wang [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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New package MCPModPack with initial version 0.5
Package: MCPModPack
Title: Simulation-Based Design and Analysis of Dose-Finding Trials
Version: 0.5
Date: 2023-05-23
Depends: R (>= 3.4.1), mvtnorm
Imports: shiny, shinydashboard, devEMF, officer, flextable, Rcpp, RcppNumerical
Suggests: testthat, devtools, DoseFinding, covr
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Maintainer: Alex Dmitrienko <admitrienko@mediana.us>
Description: An efficient implementation of the MCPMod (Multiple Comparisons and Modeling) method to support a simulation-based design and analysis of dose-finding trials with normally distributed, binary and count endpoints (Bretz et al. (2005) <doi:10.1111/j.1541-0420.2005.00344.x>).
License: GPL-3
LazyLoad: yes
LazyData: true
NeedsCompilation: yes
Author: Alex Dmitrienko [aut, cre], Alun Bedding [ctb], John Cook [ctb]
Repository: CRAN
URL: https://github.com/medianasoft/MCPModPack
BugReports: https://github.com/medianasoft/MCPModPack/issues
Packaged: 2023-05-30 08:04:23 UTC; victordmitrienko
Date/Publication: 2023-05-30 12:20:04 UTC

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Package BayesTools updated to version 0.2.14 with previous version 0.2.13 dated 2022-09-14

Title: Tools for Bayesian Analyses
Description: Provides tools for conducting Bayesian analyses and Bayesian model averaging (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.
Author: Frantisek Bartos [aut, cre]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between BayesTools versions 0.2.13 dated 2022-09-14 and 0.2.14 dated 2023-05-30

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Package RTaxometrics updated to version 3.2.1 with previous version 3.2 dated 2021-03-20

Title: Taxometric Analysis
Description: We provide functions to perform taxometric analyses. This package contains 46 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.
Author: John Ruscio <ruscio@tcnj.edu> and Shirley Wang <shirleywang@g.harvard.edu>
Maintainer: John Ruscio <ruscio@tcnj.edu>

Diff between RTaxometrics versions 3.2 dated 2021-03-20 and 3.2.1 dated 2023-05-30

 DESCRIPTION           |    8 ++++----
 MD5                   |   12 ++++++------
 NAMESPACE             |    4 +++-
 R/print.profile.R     |    4 +---
 R/print.taxometrics.R |    4 +---
 man/RunLMode.Rd       |    6 +++---
 man/RunMAXEIG.Rd      |    6 +++---
 7 files changed, 21 insertions(+), 23 deletions(-)

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Package CAST updated to version 0.8.1 with previous version 0.8.0 dated 2023-05-21

Title: 'caret' Applications for Spatial-Temporal Models
Description: Supporting functionality to run 'caret' with spatial or spatial-temporal data. 'caret' is a frequently used package for model training and prediction using machine learning. CAST includes functions to improve spatial or spatial-temporal modelling tasks using 'caret'. It includes the newly suggested 'Nearest neighbor distance matching' cross-validation to estimate the performance of spatial prediction models and allows for spatial variable selection to selects suitable predictor variables in view to their contribution to the spatial model performance. CAST further includes functionality to estimate the (spatial) area of applicability of prediction models. Methods are described in Meyer et al. (2018) <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019) <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021) <doi:10.1111/2041-210X.13650>; Milà et al. (2022) <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022) <doi:10.1038/s41467-022-29838-9>.
Author: Hanna Meyer [cre, aut], Carles Mila [aut], Marvin Ludwig [aut], Jan Linnenbrink [aut], Philipp Otto [ctb], Chris Reudenbach [ctb], Thomas Nauss [ctb], Edzer Pebesma [ctb]
Maintainer: Hanna Meyer <hanna.meyer@uni-muenster.de>

Diff between CAST versions 0.8.0 dated 2023-05-21 and 0.8.1 dated 2023-05-30

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New package xlcutter with initial version 0.1.0
Package: xlcutter
Title: Parse Batches of 'xlsx' Files Based on a Template
Version: 0.1.0
Description: Parse entire folders of non-rectangular 'xlsx' files into a single rectangular and tidy 'data.frame' based on a custom template file defining the column names of the output.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.3.0)
Imports: tidyxl
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/Bisaloo/xlcutter, https://hugogruson.fr/xlcutter/
BugReports: https://github.com/Bisaloo/xlcutter/issues
NeedsCompilation: no
Packaged: 2023-05-29 14:07:36 UTC; hugo
Author: Hugo Gruson [aut, cre, cph]
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Repository: CRAN
Date/Publication: 2023-05-30 10:30:02 UTC

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New package siftr with initial version 1.0.1
Package: siftr
Title: Fuzzily Search a Dataframe to Find Relevant Columns
Version: 1.0.1
Description: Analysts who change projects frequently know that it can be hard to find the right column in an unfamiliar dataframe, especially when the dataframe spans hundreds of columns and millions of rows. 'siftr' is an interactive tool that finds relevant columns by fuzzily searching through a dataframe's column names, labels, factor levels, and unique values.
License: MIT + file LICENSE
URL: https://github.com/DesiQuintans/siftr
BugReports: https://github.com/DesiQuintans/siftr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: cli, fastdigest
NeedsCompilation: no
Packaged: 2023-05-28 23:23:21 UTC; dqui6184
Author: Desi Quintans [cre, aut, cph]
Maintainer: Desi Quintans <science@desiquintans.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:10:02 UTC

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New package RITCH with initial version 0.1.18
Package: RITCH
Title: R Parser for the ITCH-Protocol
Version: 0.1.18
Description: Allows to efficiently parse, filter, and write binary ITCH Files (Version 5.0) containing detailed financial transactions as distributed by NASDAQ to an R data.table.
License: MIT + file LICENSE
URL: https://davzim.github.io/RITCH/, https://github.com/DavZim/RITCH
BugReports: https://github.com/DavZim/RITCH/issues
Depends: R (>= 3.5.0)
Imports: data.table, Rcpp (>= 0.12.12), nanotime (>= 0.3.2), bit64 (>= 4.0.5)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: tinytest
NeedsCompilation: yes
Packaged: 2023-05-29 11:48:03 UTC; david
Author: David Zimmermann-Kollenda [aut, cre]
Maintainer: David Zimmermann-Kollenda <david_j_zimmermann@hotmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:20:05 UTC

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New package RAFS with initial version 0.2.2
Package: RAFS
Title: Robust Aggregative Feature Selection
Version: 0.2.2
Date: 2023-05-09
URL: https://www.mdfs.it/
Description: A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.
Depends: R (>= 4.2.0)
License: GPL-3
Encoding: UTF-8
Imports: fastcluster, MDFS (>= 1.5.3), splitTools
NeedsCompilation: no
Packaged: 2023-05-29 18:36:57 UTC; ubuntu
Author: Radoslaw Piliszek [aut, cre]
Maintainer: Radoslaw Piliszek <radoslaw.piliszek@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:30:05 UTC

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Package nestedcv updated to version 0.6.4 with previous version 0.6.2 dated 2023-05-15

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Katriona Goldmann [aut]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between nestedcv versions 0.6.2 dated 2023-05-15 and 0.6.4 dated 2023-05-30

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 18 files changed, 220 insertions(+), 113 deletions(-)

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Package ICS updated to version 1.3-2 with previous version 1.3-1 dated 2018-03-02

Title: Tools for Exploring Multivariate Data via ICS/ICA
Description: Implementation of Tyler, Critchley, Duembgen and Oja's (JRSS B, 2009, <doi:10.1111/j.1467-9868.2009.00706.x>) and Oja, Sirkia and Eriksson's (AJS, 2006, <https://www.ajs.or.at/index.php/ajs/article/view/vol35,%20no2%263%20-%207>) method of two different scatter matrices to obtain an invariant coordinate system or independent components, depending on the underlying assumptions.
Author: Klaus Nordhausen, Hannu Oja, David E. Tyler
Maintainer: Klaus Nordhausen <klaus.k.nordhausen@jyu.fi>

Diff between ICS versions 1.3-1 dated 2018-03-02 and 1.3-2 dated 2023-05-30

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New package HDMFA with initial version 0.1.0
Package: HDMFA
Title: High-Dimensional Matrix Factor Analysis
Version: 0.1.0
Author: Yong He [aut], Changwei Zhao [aut], Ran Zhao [aut, cre]
Maintainer: Ran Zhao <Zhaoran@mail.sdu.edu.cn>
Description: Hign-dimensional matrix factor models have drawn much attention in view of the fact that observations are usually well structured to be an array such as in macroeconomics and finance. In addition, data often exhibit heavy-tails and thus it is also important to develop robust procedures. We aim to address this issue by replacing the least square loss with Huber loss function. We propose two algorithms to do robust factor analysis by considering the Huber loss. One is based on minimizing the Huber loss of the idiosyncratic error's Frobenius norm, which leads to a weighted iterative projection approach to compute and learn the parameters and thereby named as Robust-Matrix-Factor-Analysis (RMFA), see the details in He et al. (2023)<doi:10.1080/07350015.2023.2191676>. The other one is based on minimizing the element-wise Huber loss, which can be solved by an iterative Huber regression algorithm (IHR). In this package, we also provide the algorithm for alpha-PCA by Chen & Fan (2021 [...truncated...]
License: GPL-2 | GPL-3
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: MASS, RSpectra
NeedsCompilation: no
Packaged: 2023-05-29 07:04:41 UTC; 赵冉
Repository: CRAN
Date/Publication: 2023-05-30 10:50:17 UTC

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Package GeneralizedUmatrix updated to version 1.2.6 with previous version 1.2.5 dated 2022-11-28

Title: Credible Visualization for Two-Dimensional Projections of Data
Description: Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9> and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in <DOI: 10.1016/j.mex.2020.101093>.
Author: Michael Thrun [aut, cre, cph] , Felix Pape [ctb, ctr], Tim Schreier [ctb, ctr], Luis Winckelman [ctb, ctr], Quirin Stier [ctb, ctr], Alfred Ultsch [ths]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between GeneralizedUmatrix versions 1.2.5 dated 2022-11-28 and 1.2.6 dated 2023-05-30

 DESCRIPTION                       |   11 
 MD5                               |   40 
 NAMESPACE                         |    3 
 R/GeneralizedUmatrix.R            |    9 
 R/TopviewTopographicMap.R         |   26 
 R/XYcoords2LinesColumns.R         |   42 
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 man/XYcoords2LinesColumns.Rd      |    4 
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 21 files changed, 1757 insertions(+), 1035 deletions(-)

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New package FinNet with initial version 0.1.0
Package: FinNet
Title: Quickly Build and Manipulate Financial Networks
Version: 0.1.0
Maintainer: Fabio Ashtar Telarico <Fabio-Ashtar.Telarico@fdv.uni-lj.si>
Description: Providing classes, methods, and functions to deal with financial networks. Users can easily store information about both physical and legal persons by using pre-made classes that are studied for integration with scraping packages such as 'rvest' and 'RSelenium'. Moreover, the package assists in creating various types of financial networks depending on the type of relation between its units depending on the relation under scrutiny (ownership, board interlocks, etc.), the desired tie type (valued or binary), and renders them in the most common formats (adjacency matrix, incidence matrix, edge list, 'igraph', 'network').
License: GPL (>= 3)
URL: https://fatelarico.github.io/FinNet.html
BugReports: https://github.com/FATelarico/FinNet/issues
Encoding: UTF-8
Depends: R (>= 2.10)
Author: Fabio Ashtar Telarico [aut, cre]
Imports: grDevices, methods
Suggests: knitr, Matrix, igraph, network, markdown, SPB, yahoofinancer
LazyData: no
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-29 18:23:49 UTC; fabio
Repository: CRAN
Date/Publication: 2023-05-30 10:30:08 UTC

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New package ffstream with initial version 0.1.7.2
Package: ffstream
Title: Forgetting Factor Methods for Change Detection in Streaming Data
Version: 0.1.7.2
Date: 2023-05-25
Author: Dean Bodenham
Maintainer: Dean Bodenham <deanbodenhampkgs@gmail.com>
Description: An implementation of the adaptive forgetting factor scheme described in Bodenham and Adams (2016) <doi:10.1007/s11222-016-9684-8> which adaptively estimates the mean and variance of a stream in order to detect multiple changepoints in streaming data. The implementation is in 'C++' and uses 'Rcpp'. Additionally, implementations of the fixed forgetting factor scheme from the same paper, as well as the classic cumulative sum ('CUSUM') and exponentially weighted moving average ('EWMA') methods, are included.
Depends: R (>= 4.1.0), Rcpp (>= 1.0.0)
License: GPL-2 | GPL-3
LinkingTo: Rcpp
Imports: methods
Suggests: testthat (>= 2.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-30 09:46:35 UTC; dean
Repository: CRAN
Date/Publication: 2023-05-30 10:20:02 UTC

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New package epoxy with initial version 0.1.0
Package: epoxy
Title: String Interpolation for Documents, Reports and Apps
Version: 0.1.0
Description: Extra strength 'glue' for data-driven templates. String interpolation for 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built on the 'glue' and 'whisker' packages.
License: MIT + file LICENSE
URL: https://pkg.garrickadenbuie.com/epoxy/, https://github.com/gadenbuie/epoxy
BugReports: https://github.com/gadenbuie/epoxy/issues
Depends: R (>= 2.10)
Imports: and, glue (>= 1.5.0), htmltools, knitr (>= 1.37), lifecycle, purrr, rlang, rmarkdown, scales (>= 1.1.0), tools, whisker
Suggests: cleanrmd, commonmark, debugme, pandoc, shiny, shinytest2, testthat
VignetteBuilder: cleanrmd, knitr, rmarkdown
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-30 02:04:44 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Kushagra Gour [ctb] , The mustache.js community [ctb]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:50:07 UTC

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New package dwctaxon with initial version 2.0.2
Package: dwctaxon
Title: Edit and Validate Darwin Core Taxon Data
Version: 2.0.2
Description: Edit and validate taxonomic data in compliance with Darwin Core standards (Darwin Core 'Taxon' class <https://dwc.tdwg.org/terms/#taxon>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: assertthat, digest, dplyr, glue, purrr, rlang, settings, stringr, tibble
Suggests: testthat (>= 3.0.0), mockery, readr, usethis, knitr, rmarkdown, patrick, stringi, english, tidyr, utils
Depends: R (>= 2.10)
URL: https://docs.ropensci.org/dwctaxon/, https://github.com/ropensci/dwctaxon
BugReports: https://github.com/ropensci/dwctaxon/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-30 00:59:18 UTC; joelnitta
Author: Joel H. Nitta [aut, cre, cph] , Wataru Iwasaki [ctb] , Collin Schwantes [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/574>), Stephen Formel [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/57 [...truncated...]
Maintainer: Joel H. Nitta <joelnitta@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 10:40:02 UTC

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New package dmetatools with initial version 1.1.1
Package: dmetatools
Title: Computational Tools for Meta-Analysis of Diagnostic Accuracy Test
Version: 1.1.1
Date: 2023-05-27
Maintainer: Hisashi Noma <noma@ism.ac.jp>
Description: Computational tools for meta-analysis of diagnostic accuracy test. Bootstrap-based computational methods of the confidence interval for AUC of summary ROC curve and some related AUC-based inference methods are available (Noma et al. (2021) <doi:10.1080/23737484.2021.1894408>).
Imports: MASS, mada
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2023-05-30 05:07:12 UTC; Hisashi
Author: Hisashi Noma [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-30 10:50:10 UTC

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New package ChernoffDist with initial version 0.1.0
Package: ChernoffDist
Title: Chernoff's Distribution
Version: 0.1.0
Author: Haitian Xie
Maintainer: Haitian Xie <xht@gsm.pku.edu.cn>
Description: Computes Chernoff's distribution based on the method in Piet Groeneboom & Jon A Wellner (2001) Computing Chernoff's Distribution, Journal of Computational and Graphical Statistics, 10:2, 388-400, <doi:10.1198/10618600152627997>. Chernoff's distribution is defined as the distribution of the maximizer of the two-sided Brownian motion minus quadratic drift. That is, Z = argmax (B(t)-t^2).
License: GPL-3
Encoding: UTF-8
Imports: gsl
NeedsCompilation: no
Packaged: 2023-05-28 23:45:32 UTC; haitianxie
Repository: CRAN
Date/Publication: 2023-05-30 10:10:05 UTC

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New package cgalPolygons with initial version 0.1.1
Package: cgalPolygons
Title: R6 Based Utilities for Polygons using 'CGAL'
Version: 0.1.1
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides some utilities for polygons: area calculation, decomposition into convex parts, Minkowski addition, Boolean operations, and more. Polygons with holes are supported. The algorithms are performed by the 'C++' library' CGAL' (<https://www.cgal.org/>).
License: GPL-3
URL: https://github.com/stla/cgalPolygons
BugReports: https://github.com/stla/cgalPolygons/issues
Depends: R (>= 2.10)
Imports: graphics, methods, R6, Rcpp (>= 1.0.9)
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
LazyData: TRUE
SystemRequirements: C++ 17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2023-05-30 09:06:21 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2023-05-30 11:00:02 UTC

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New package adapt4pv with initial version 0.2-3
Package: adapt4pv
Title: Adaptive Approaches for Signal Detection in Pharmacovigilance
Version: 0.2-3
Depends: R (>= 3.6.0), Matrix (>= 1.0-6), glmnet (>= 3.0-2)
Imports: speedglm, xgboost, doParallel, foreach
Description: A collection of several pharmacovigilance signal detection methods based on adaptive lasso. Additional lasso-based and propensity score-based signal detection approaches are also supplied. See Courtois et al <doi:10.1186/s12874-021-01450-3>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Author: Emeline Courtois [cre], Ismail Ahmed [aut], Herve Perdry [ctb]
Maintainer: Emeline Courtois <courtoise@iarc.who.int>
NeedsCompilation: no
Packaged: 2023-05-30 07:26:33 UTC; emeli
Repository: CRAN
Date/Publication: 2023-05-30 10:50:13 UTC

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Package LGDtoolkit updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-08

Title: Collection of Tools for LGD Rating Model Development
Description: The goal of this package is to cover the most common steps in Loss Given Default (LGD) rating model development. The main procedures available are those that refer to bivariate and multivariate analysis. In particular two statistical methods for multivariate analysis are currently implemented – OLS regression and fractional logistic regression. Both methods are also available within different blockwise model designs and both have customized stepwise algorithms. Descriptions of these customized designs are available in Siddiqi (2016) <doi:10.1002/9781119282396.ch10> and Anderson, R.A. (2021) <doi:10.1093/oso/9780192844194.001.0001>. Although they are explained for PD model, the same designs are applicable for LGD model with different underlying regression methods (OLS and fractional logistic regression). To cover other important steps for LGD model development, it is recommended to use 'LGDtoolkit' package along with 'PDtoolkit', and 'monobin' (or 'monobinShiny') packages. A [...truncated...]
Author: Andrija Djurovic [aut, cre]
Maintainer: Andrija Djurovic <djandrija@gmail.com>

Diff between LGDtoolkit versions 0.1.0 dated 2023-03-08 and 0.2.0 dated 2023-05-30

 DESCRIPTION          |    9 +++++----
 MD5                  |   16 ++++++++++------
 NAMESPACE            |    4 ++++
 NEWS.md              |    6 ++++++
 R/03_STEP_FWD.R      |    4 ++--
 R/04_STEP_RPC.R      |    2 +-
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 README.md            |    2 +-
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 11 files changed, 29 insertions(+), 14 deletions(-)

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Package embed updated to version 1.1.1 with previous version 1.1.0 dated 2023-04-14

Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737> can be used. There are also functions for dimension reduction and other approaches.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between embed versions 1.1.0 dated 2023-04-14 and 1.1.1 dated 2023-05-30

 DESCRIPTION                                  |   10 -
 MD5                                          |  110 +++++++++---------
 NAMESPACE                                    |    2 
 NEWS.md                                      |    8 +
 R/collapse_stringdist.R                      |    2 
 R/discretize_cart.R                          |   23 ++-
 R/discretize_xgb.R                           |   21 ++-
 R/embed-package.R                            |    2 
 R/embed.R                                    |   26 +++-
 R/feature_hash.R                             |    4 
 R/lencode_bayes.R                            |   24 ++--
 R/lencode_glm.R                              |   16 ++
 R/lencode_mixed.R                            |   22 ++-
 R/pca_sparse.R                               |   22 ++-
 R/pca_sparse_bayes.R                         |   21 ++-
 R/pca_truncated.R                            |   21 ++-
 R/umap.R                                     |   10 +
 R/woe.R                                      |   20 ++-
 man/step_collapse_stringdist.Rd              |    2 
 man/step_discretize_cart.Rd                  |    2 
 man/step_lencode_bayes.Rd                    |    2 
 man/step_lencode_glm.Rd                      |    2 
 man/step_lencode_mixed.Rd                    |    2 
 man/step_pca_sparse.Rd                       |    2 
 man/step_pca_sparse_bayes.Rd                 |    2 
 man/step_umap.Rd                             |    2 
 man/step_woe.Rd                              |    2 
 tests/testthat/_snaps/collapse_cart.md       |   32 ++---
 tests/testthat/_snaps/collapse_stringdist.md |   32 ++---
 tests/testthat/_snaps/discretize_cart.md     |   93 ++++++++++-----
 tests/testthat/_snaps/discretize_xgb.md      |   67 ++++++++---
 tests/testthat/_snaps/embed.md               |   44 ++++++-
 tests/testthat/_snaps/feature_hash.md        |   44 ++++++-
 tests/testthat/_snaps/lencode_bayes.md       |   87 ++++++++++----
 tests/testthat/_snaps/lencode_glm.md         |   67 ++++++++---
 tests/testthat/_snaps/lencode_mixed.md       |   67 ++++++++---
 tests/testthat/_snaps/pca_sparse.md          |   78 ++++++++++++-
 tests/testthat/_snaps/pca_sparse_bayes.md    |   44 ++++++-
 tests/testthat/_snaps/pca_truncated.md       |   44 ++++++-
 tests/testthat/_snaps/umap.md                |   44 ++++++-
 tests/testthat/_snaps/woe.md                 |   65 ++++++++---
 tests/testthat/test-collapse_cart.R          |   62 +++++-----
 tests/testthat/test-collapse_stringdist.R    |   76 +++++++-----
 tests/testthat/test-discretize_cart.R        |  115 +++++++++++--------
 tests/testthat/test-discretize_xgb.R         |  102 ++++++++++-------
 tests/testthat/test-embed.R                  |  127 +++++++++++++--------
 tests/testthat/test-feature_hash.R           |   99 +++++++++++-----
 tests/testthat/test-helpers.R                |    1 
 tests/testthat/test-lencode_bayes.R          |  120 +++++++++++++-------
 tests/testthat/test-lencode_glm.R            |  102 +++++++++++------
 tests/testthat/test-lencode_mixed.R          |  107 +++++++++++-------
 tests/testthat/test-pca_sparse.R             |  128 +++++++++++++++++----
 tests/testthat/test-pca_sparse_bayes.R       |  159 ++++++++++++++++++---------
 tests/testthat/test-pca_truncated.R          |  106 +++++++++++++++---
 tests/testthat/test-umap.R                   |   99 ++++++++++------
 tests/testthat/test-woe.R                    |  134 +++++++++++++++-------
 56 files changed, 1926 insertions(+), 801 deletions(-)

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New package dynamite with initial version 1.4.3
Package: dynamite
Title: Bayesian Modeling and Causal Inference for Multivariate Longitudinal Data
Version: 1.4.3
Description: Easy-to-use and efficient interface for Bayesian inference of complex panel (time series) data using dynamic multivariate panel models by Helske and Tikka (2022) <doi:10.31235/osf.io/mdwu5>. The package supports joint modeling of multiple measurements per individual, time-varying and time-invariant effects, and a wide range of discrete and continuous distributions. Estimation of these dynamic multivariate panel models is carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka and Helske, 2023) <arxiv:2302.01607>.
License: GPL (>= 3)
URL: https://docs.ropensci.org/dynamite/, https://github.com/ropensci/dynamite/
BugReports: https://github.com/ropensci/dynamite/issues/
Depends: R (>= 3.6.0)
Imports: checkmate, cli, data.table, glue, ggplot2, loo, methods, patchwork, posterior, rlang, rstan, stats, tibble (>= 2.0.0), utils
Suggests: bookdown, cmdstanr, covr, dplyr, knitr, mockthat, rmarkdown, testthat (>= 3.0.0), tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Additional_repositories: https://mc-stan.org/r-packages/
NeedsCompilation: no
Packaged: 2023-05-29 09:07:09 UTC; santikka
Author: Santtu Tikka [aut, cre] , Jouni Helske [aut] , Nicholas Clark [rev], Lucy D’Agostino McGowan [rev]
Maintainer: Santtu Tikka <santtuth@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 09:20:06 UTC

More information about dynamite at CRAN
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Package ctv updated to version 0.9-5 with previous version 0.9-4 dated 2022-11-05

Title: CRAN Task Views
Description: Infrastructure for task views to CRAN-style repositories: Querying task views and installing the associated packages (client-side tools), generating HTML pages and storing task view information in the repository (server-side tools).
Author: Achim Zeileis [aut, cre] , Kurt Hornik [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between ctv versions 0.9-4 dated 2022-11-05 and 0.9-5 dated 2023-05-30

 DESCRIPTION             |   16 +++-------
 MD5                     |   18 +++++------
 NEWS.md                 |   14 ++++++++
 R/ctv-md.R              |   19 ++++++------
 R/ctv-server.R          |   25 +++++++++-------
 build/vignette.rds      |binary
 inst/CITATION           |   37 ++++++++++++++++-------
 inst/doc/ctv-howto.Rmd  |   30 +++++++++----------
 inst/doc/ctv-howto.html |   75 ++++++++++++++++++++++++------------------------
 vignettes/ctv-howto.Rmd |   30 +++++++++----------
 10 files changed, 147 insertions(+), 117 deletions(-)

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Package ChemoSpecUtils updated to version 1.0.3 with previous version 1.0.2 dated 2022-12-05

Title: Functions Supporting Packages ChemoSpec and ChemoSpec2D
Description: Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.
Author: Bryan A. Hanson [aut, cre] , Tejasvi Gupta [ctb]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between ChemoSpecUtils versions 1.0.2 dated 2022-12-05 and 1.0.3 dated 2023-05-30

 ChemoSpecUtils-1.0.2/ChemoSpecUtils/inst/tinytest/test_chkArgs.R              |only
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 ChemoSpecUtils-1.0.3/ChemoSpecUtils/DESCRIPTION                               |   14 
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 ChemoSpecUtils-1.0.3/ChemoSpecUtils/NEWS.md                                   |    5 
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 ChemoSpecUtils-1.0.3/ChemoSpecUtils/R/addEllipseInfo.R                        |   11 
 ChemoSpecUtils-1.0.3/ChemoSpecUtils/R/addLegend.R                             |   15 
 ChemoSpecUtils-1.0.3/ChemoSpecUtils/R/addMethod.R                             |   11 
 ChemoSpecUtils-1.0.3/ChemoSpecUtils/R/check4Gaps.R                            |    6 
 ChemoSpecUtils-1.0.3/ChemoSpecUtils/R/checkForPackageWithVersion.R            |    2 
 ChemoSpecUtils-1.0.3/ChemoSpecUtils/R/chkArgs.R                               |   95 ++++
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Package BoutrosLab.plotting.general updated to version 7.0.8 with previous version 7.0.5 dated 2023-01-06

Title: Functions to Create Publication-Quality Plots
Description: Contains several plotting functions such as barplots, scatterplots, heatmaps, as well as functions to combine plots and assist in the creation of these plots. These functions will give users great ease of use and customization options in broad use for biomedical applications, as well as general purpose plotting. Each of the functions also provides valid default settings to make plotting data more efficient and producing high quality plots with standard colour schemes simpler. All functions within this package are capable of producing plots that are of the quality to be presented in scientific publications and journals. P'ng et al.; BPG: Seamless, automated and interactive visualization of scientific data; BMC Bioinformatics 2019 <doi:10.1186/s12859-019-2610-2>.
Author: Paul Boutros [aut, cre], Christine P'ng [ctb], Jeff Green [ctb], Stephenie Prokopec [ctb], Ontario Institute for Cancer Research [cph], The R Core Team [cph], The R Foundation [cph], Robert Gentleman [ctb], Ross Ihaka [ctb], Caden Bugh [ctb], Dan Kni [...truncated...]
Maintainer: Paul Boutros <PBoutros@mednet.ucla.edu>

Diff between BoutrosLab.plotting.general versions 7.0.5 dated 2023-01-06 and 7.0.8 dated 2023-05-30

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Package tessellation updated to version 2.1.3 with previous version 2.1.2 dated 2023-03-08

Title: Delaunay and Voronoï Tessellations
Description: Delaunay and Voronoï tessellations, with emphasis on the two-dimensional and the three-dimensional cases (the package provides functions to plot the tessellations for these cases). Delaunay tessellations are computed in C with the help of the 'Qhull' library <http://www.qhull.org/>.
Author: Stephane Laurent [aut, cre], C. B. Barber [cph] , The Geometry Center [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between tessellation versions 2.1.2 dated 2023-03-08 and 2.1.3 dated 2023-05-30

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Package Signac updated to version 1.10.0 with previous version 1.9.0 dated 2022-12-08

Title: Analysis of Single-Cell Chromatin Data
Description: A framework for the analysis and exploration of single-cell chromatin data. The 'Signac' package contains functions for quantifying single-cell chromatin data, computing per-cell quality control metrics, dimension reduction and normalization, visualization, and DNA sequence motif analysis. Reference: Stuart et al. (2021) <doi:10.1038/s41592-021-01282-5>.
Author: Tim Stuart [aut, cre] , Avi Srivastava [aut] , Paul Hoffman [ctb] , Rahul Satija [ctb]
Maintainer: Tim Stuart <stuartt@gis.a-star.edu.sg>

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Package scico updated to version 1.4.0 with previous version 1.3.1 dated 2022-08-19

Title: Colour Palettes Based on the Scientific Colour-Maps
Description: Colour choice in information visualisation is important in order to avoid being mislead by inherent bias in the used colour palette. The 'scico' package provides access to the perceptually uniform and colour-blindness friendly palettes developed by Fabio Crameri and released under the "Scientific Colour-Maps" moniker. The package contains 24 different palettes and includes both diverging and sequential types.
Author: Thomas Lin Pedersen [aut, cre] , Fabio Crameri [aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

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Package mlr3benchmark updated to version 0.1.6 with previous version 0.1.5 dated 2023-03-14

Title: Analysis and Visualisation of Benchmark Experiments
Description: Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
Author: Sonabend Raphael [aut] , Florian Pfisterer [aut] , Michel Lang [ctb] , Bernd Bischl [ctb] , Sebastian Fischer [cre, ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

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Package DatabionicSwarm updated to version 1.2.0 with previous version 1.1.6 dated 2022-11-29

Title: Swarm Intelligence for Self-Organized Clustering
Description: Algorithms implementing populations of agents that interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intelligence. Here, a swarm system called Databionic swarm (DBS) is introduced which was published in Thrun, M.C., Ultsch A.: "Swarm Intelligence for Self-Organized Clustering" (2020), Artificial Intelligence, <DOI:10.1016/j.artint.2020.103237>. DBS is able to adapt itself to structures of high-dimensional data such as natural clusters characterized by distance and/or density based structures in the data space. The first module is the parameter-free projection method called Pswarm (Pswarm()), which exploits the concepts of self-organization and emergence, game theory, swarm intelligence and symmetry considerations. The second module is the parameter-free high-dimensional data visualization technique, which generates projected points on the topographic map with hypsometric tints defined by the generalized U-matri [...truncated...]
Author: Michael Thrun [aut, cre, cph] , Quirin Stier [aut, rev]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package Bernadette updated to version 1.1.3 with previous version 1.1.2 dated 2023-05-25

Title: Bayesian Inference and Model Selection for Stochastic Epidemics
Description: Bayesian analysis for stochastic extensions of non-linear dynamic systems using advanced computational algorithms. Described in Bouranis, L., Demiris, N., Kalogeropoulos, K., and Ntzoufras, I. (2022) <arXiv:2211.15229>.
Author: Lampros Bouranis [aut, cre, cph] , European Union [fnd]
Maintainer: Lampros Bouranis <bernadette.aueb@gmail.com>

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Package assertive.code updated to version 0.0-4 with previous version 0.0-3 dated 2018-10-21

Title: Assertions to Check Properties of Code
Description: A set of predicates and assertions for checking the properties of code. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between assertive.code versions 0.0-3 dated 2018-10-21 and 0.0-4 dated 2023-05-30

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Package stringfish updated to version 0.15.8 with previous version 0.15.7 dated 2022-04-13

Title: Alt String Implementation
Description: Provides an extendable, performant and multithreaded 'alt-string' implementation backed by 'C++' vectors and strings.
Author: Travers Ching [aut, cre, cph], Phillip Hazel [ctb] , Zoltan Herczeg [ctb, cph] , University of Cambridge [cph] , Tilera Corporation [cph] , Yann Collet [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package stevedata updated to version 1.0.0 with previous version 0.9.0 dated 2023-01-19

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steven.v.miller@gmail.com>

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New package ntdr with initial version 0.3.0
Package: ntdr
Title: Retrieve Data from the National Transit Database
Version: 0.3.0
Description: Downloads the latest 'National Transit Database' data, processes it, and returns in a tidy data format.
License: MIT + file LICENSE
BugReports: https://github.com/vgXhc/ntdr/issues
Encoding: UTF-8
Imports: dplyr, lubridate, purrr, readxl, rvest, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
URL: https://vgxhc.github.io/ntdr/
NeedsCompilation: no
Packaged: 2023-05-27 22:50:23 UTC; user1
Author: Harald Kliems [cre, aut, cph]
Maintainer: Harald Kliems <kliems@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-30 07:10:02 UTC

More information about ntdr at CRAN
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Package inti updated to version 0.6.1 with previous version 0.6.0 dated 2023-01-23

Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing. Learn more about the 'inkaverse' project at <https://inkaverse.com/>.
Author: Flavio Lozano-Isla [aut, cre] , QuipoLab [ctb], Inkaverse [cph]
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>

Diff between inti versions 0.6.0 dated 2023-01-23 and 0.6.1 dated 2023-05-30

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Package FCPS updated to version 1.3.3 with previous version 1.3.1 dated 2022-05-20

Title: Fundamental Clustering Problems Suite
Description: Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.
Author: Michael Thrun [aut, cre, cph] , Peter Nahrgang [ctr, ctb], Felix Pape [ctr, ctb], Vasyl Pihur [ctb], Guy Brock [ctb], Susmita Datta [ctb], Somnath Datta [ctb], Luis Winckelmann [com], Alfred Ultsch [dtc, ctb], Quirin Stier [ctb, rev]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package ergm.multi updated to version 0.2.0 with previous version 0.1.2 dated 2023-01-05

Title: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
Description: A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2022) <doi:10.48550/arXiv.2202.03685>.
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [ctb], David R. Hunter [ctb], Chad Klumb [ctb], Pietro Coletti [ctb], Joyce Cheng [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package condor updated to version 1.0.1 with previous version 1.0.0 dated 2023-04-03

Title: Interact with 'Condor' from R via SSH
Description: Interact with 'Condor' from R via SSH connection. Files are first uploaded from user machine to submitter machine, and the job is then submitted from the submitter machine to 'Condor'. Functions are provided to submit, list, and download 'Condor' jobs from R. 'Condor' is an open source high-throughput computing software framework for distributed parallelization of computationally intensive tasks.
Author: Arni Magnusson [aut, cre], Jemery Day [ctb], Thomas Teears [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package SDPDmod updated to version 0.0.3 with previous version 0.0.2 dated 2023-04-13

Title: Spatial Dynamic Panel Data Modeling
Description: Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>. The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.
Author: Rozeta Simonovska [aut, cre]
Maintainer: Rozeta Simonovska <simonovska.r@gmail.com>

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Package mirt updated to version 1.39 with previous version 1.38.1 dated 2023-02-27

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modeling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models, including mixture and zero-inflated response models, are supported.
Author: Phil Chalmers [aut, cre] , Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb], Lennart Schneider [ctb], David King [ctb], Chen-Wei Liu [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package lmomco updated to version 2.4.9 with previous version 2.4.7 dated 2022-08-26

Title: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Description: Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid) and reversed (rev) residual life are implemented along with 13 quantile function operators for reliability and survival analyses. Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy Exponential (Exp) Power [L], Asy Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp [...truncated...]
Author: William Asquith
Maintainer: William Asquith <william.asquith@ttu.edu>

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 man/lmomwei.Rd                |    2 
 man/lmorph.Rd                 |    4 
 man/lmrdia.Rd                 |    4 
 man/lmrdiscord.Rd             |    4 
 man/lrv2prob.Rd               |    2 
 man/lrzlmomco.Rd              |    2 
 man/mle2par.Rd                |   17 
 man/mps2par.Rd                |    2 
 man/nonexceeds.Rd             |    6 
 man/par2cdf.Rd                |    2 
 man/par2cdf2.Rd               |    2 
 man/par2lmom.Rd               |    2 
 man/par2qua.Rd                |    2 
 man/par2qua2.Rd               |    4 
 man/par2qua2lo.Rd             |    4 
 man/par2vec.Rd                |    2 
 man/parTLgld.Rd               |    2 
 man/parTLgpa.Rd               |    2 
 man/paraep4.Rd                |    2 
 man/parcau.Rd                 |    2 
 man/paremu.Rd                 |    2 
 man/parexp.Rd                 |    2 
 man/pargam.Rd                 |    2 
 man/pargep.Rd                 |    2 
 man/pargev.Rd                 |    2 
 man/pargld.Rd                 |    2 
 man/parglo.Rd                 |    5 
 man/pargno.Rd                 |    5 
 man/pargov.Rd                 |    2 
 man/pargpa.Rd                 |    2 
 man/pargpaRC.Rd               |    2 
 man/pargum.Rd                 |    2 
 man/parkap.Rd                 |    2 
 man/parkmu.Rd                 |    2 
 man/parkur.Rd                 |    2 
 man/parlap.Rd                 |    2 
 man/parlmrq.Rd                |    2 
 man/parln3.Rd                 |    2 
 man/parnor.Rd                 |    2 
 man/parpe3.Rd                 |    5 
 man/parray.Rd                 |    2 
 man/parrevgum.Rd              |    2 
 man/parrice.Rd                |    2 
 man/pars2x.Rd                 |    2 
 man/parsla.Rd                 |    2 
 man/parst3.Rd                 |    2 
 man/partexp.Rd                |    2 
 man/partri.Rd                 |    2 
 man/parwak.Rd                 |    2 
 man/parwei.Rd                 |    2 
 man/pdfaep4.Rd                |    2 
 man/pdfcau.Rd                 |    2 
 man/pdfemu.Rd                 |    2 
 man/pdfexp.Rd                 |    2 
 man/pdfgam.Rd                 |    2 
 man/pdfgep.Rd                 |    2 
 man/pdfgld.Rd                 |    2 
 man/pdfglo.Rd                 |    2 
 man/pdfgno.Rd                 |    5 
 man/pdfgov.Rd                 |    2 
 man/pdfgum.Rd                 |    2 
 man/pdfkap.Rd                 |    2 
 man/pdfkmu.Rd                 |    2 
 man/pdfkur.Rd                 |    2 
 man/pdflap.Rd                 |    2 
 man/pdflmrq.Rd                |    2 
 man/pdfln3.Rd                 |    2 
 man/pdfnor.Rd                 |    2 
 man/pdfpe3.Rd                 |    2 
 man/pdfray.Rd                 |    2 
 man/pdfrevgum.Rd              |    2 
 man/pdfrice.Rd                |    2 
 man/pdfsla.Rd                 |    2 
 man/pdfst3.Rd                 |    2 
 man/pdftexp.Rd                |    2 
 man/pdftri.Rd                 |    2 
 man/pdfwak.Rd                 |    2 
 man/pdfwei.Rd                 |    2 
 man/pfactor.bernstein.Rd      |    4 
 man/plmomco.Rd                |    2 
 man/plotlmrdia.Rd             |    2 
 man/plotradarlmr.Rd           |    2 
 man/pmoms.Rd                  |    8 
 man/pp.Rd                     |   29 -
 man/pp.f.Rd                   |    6 
 man/pp.median.Rd              |   16 
 man/prettydist.Rd             |    2 
 man/prob2T.Rd                 |    2 
 man/prob2grv.Rd               |    2 
 man/prob2lrv.Rd               |    2 
 man/pwm.Rd                    |    6 
 man/pwm.beta2alpha.Rd         |    6 
 man/pwm.gev.Rd                |    6 
 man/pwm.pp.Rd                 |    6 
 man/pwm.ub.Rd                 |    6 
 man/pwm2lmom.Rd               |    2 
 man/pwm2vec.Rd                |    6 
 man/pwmLC.Rd                  |    6 
 man/pwmRC.Rd                  |    6 
 man/qlmomco.Rd                |    2 
 man/qua.ostat.Rd              |    2 
 man/qua2ci.cov.Rd             |    2 
 man/qua2ci.simple.Rd          |    2 
 man/quaaep4.Rd                |    2 
 man/quaaep4kapmix.Rd          |    2 
 man/quacau.Rd                 |    2 
 man/quaemu.Rd                 |    2 
 man/quaexp.Rd                 |    2 
 man/quagam.Rd                 |    2 
 man/quagep.Rd                 |    2 
 man/quagld.Rd                 |    2 
 man/quaglo.Rd                 |    2 
 man/quagno.Rd                 |    5 
 man/quagov.Rd                 |    2 
 man/quagum.Rd                 |    2 
 man/quakap.Rd                 |    2 
 man/quakmu.Rd                 |    2 
 man/quakur.Rd                 |    2 
 man/qualap.Rd                 |    2 
 man/qualmrq.Rd                |    2 
 man/qualn3.Rd                 |    2 
 man/quanor.Rd                 |    2 
 man/quape3.Rd                 |    2 
 man/quaray.Rd                 |    2 
 man/quarevgum.Rd              |    2 
 man/quarice.Rd                |    2 
 man/quasla.Rd                 |    2 
 man/quast3.Rd                 |    2 
 man/quatexp.Rd                |    2 
 man/quatri.Rd                 |    2 
 man/quawak.Rd                 |    2 
 man/quawei.Rd                 |    2 
 man/ralmomco.Rd               |    2 
 man/reslife.lmoms.Rd          |    2 
 man/riglmomco.Rd              |    2 
 man/rlmomco.Rd                |    2 
 man/rmlmomco.Rd               |    2 
 man/rmvarlmomco.Rd            |    2 
 man/rralmomco.Rd              |    2 
 man/rreslife.lmoms.Rd         |    2 
 man/rrmlmomco.Rd              |    2 
 man/rrmvarlmomco.Rd           |    2 
 man/sentiv.curve.Rd           |    2 
 man/slmomco.Rd                |    2 
 man/stttlmomco.Rd             |    2 
 man/supdist.Rd                |    6 
 man/tau34sq.normtest.Rd       |    5 
 man/theoLmoms.Rd              |    4 
 man/theoLmoms.max.ostat.Rd    |    2 
 man/theoTLmoms.Rd             |    2 
 man/theopwms.Rd               |    4 
 man/tlmr2par.Rd               |    2 
 man/tlmrcau.Rd                |    4 
 man/tlmrexp.Rd                |    4 
 man/tlmrgev.Rd                |    4 
 man/tlmrglo.Rd                |    4 
 man/tlmrgno.Rd                |    7 
 man/tlmrgpa.Rd                |    4 
 man/tlmrgum.Rd                |    4 
 man/tlmrln3.Rd                |    4 
 man/tlmrnor.Rd                |    4 
 man/tlmrpe3.Rd                |    4 
 man/tlmrray.Rd                |    4 
 man/tttlmomco.Rd              |    2 
 man/vec2TLmom.Rd              |    2 
 man/vec2lmom.Rd               |    2 
 man/vec2par.Rd                |    2 
 man/vec2pwm.Rd                |    2 
 man/x2pars.Rd                 |    2 
 man/x2xlo.Rd                  |    4 
 man/z.par2cdf.Rd              |    2 
 man/z.par2qua.Rd              |    2 
 363 files changed, 1212 insertions(+), 1011 deletions(-)

More information about lmomco at CRAN
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