Tue, 13 Dec 2022

Package unusualprofile updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-29

Title: Calculates Conditional Mahalanobis Distances
Description: Calculates a Mahalanobis distance for every row of a set of outcome variables (Mahalanobis, 1936 <doi:10.1007/s13171-019-00164-5>). The conditional Mahalanobis distance is calculated using a conditional covariance matrix (i.e., a covariance matrix of the outcome variables after controlling for a set of predictors). Plotting the output of the cond_maha() function can help identify which elements of a profile are unusual after controlling for the predictors.
Author: W. Joel Schneider [aut, cre] , Feng Ji [aut]
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

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More information about unusualprofile at CRAN
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Package TOSTER updated to version 0.6.0 with previous version 0.4.2 dated 2022-09-20

Title: Two One-Sided Tests (TOST) Equivalence Testing
Description: Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Author: Daniel Lakens [aut], Aaron Caldwell [aut, cre]
Maintainer: Aaron Caldwell <arcaldwell49@gmail.com>

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Package rmcorr updated to version 0.5.4 with previous version 0.5.2 dated 2022-08-25

Title: Repeated Measures Correlation
Description: Compute the repeated measures correlation, a statistical technique for determining the overall within-individual relationship among paired measures assessed on two or more occasions, first introduced by Bland and Altman (1995). Includes functions for diagnostics, p-value, effect size with confidence interval including optional bootstrapping, as well as graphing. Also includes several example datasets. For more details, see the web documentation <https://lmarusich.github.io/rmcorr/index.html> and the original paper: Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.
Author: Jonathan Z. Bakdash [aut] , Laura R. Marusich [aut, cre]
Maintainer: Laura R. Marusich <lmarusich@gmail.com>

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Package rerddapXtracto updated to version 1.1.4 with previous version 1.1.3 dated 2022-10-16

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre], Marie Auger-Methe [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package pmparser updated to version 1.0.15 with previous version 1.0.13 dated 2022-11-24

Title: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Description: Provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut], Elliot Outland [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

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Package disaggR updated to version 1.0.4.1 with previous version 1.0.3.1 dated 2022-03-04

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time series with higher frequency time series, using the French National Accounts methodology. The aggregated sum of the resulting time series is strictly equal to the low-frequency time series within the benchmarking window. Typically, the low-frequency time series is an annual one, unknown for the last year, and the high frequency one is either quarterly or monthly. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8, <https://www.insee.fr/en/information/2579410>).
Author: Arnaud Feldmann [aut] , Franck Arnaud [ctb] , Thomas Laurent [cre], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Thomas Laurent <thomas.laurent@insee.fr>

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Package glmmPen updated to version 1.5.2.11 with previous version 1.5.1.10 dated 2022-04-29

Title: High Dimensional Penalized Generalized Linear Mixed Models (pGLMM)
Description: Fits high dimensional penalized generalized linear mixed models using the Monte Carlo Expectation Conditional Minimization (MCECM) algorithm. The purpose of the package is to perform variable selection on both the fixed and random effects simultaneously for generalized linear mixed models. The package supports fitting of Binomial, Gaussian, and Poisson data with canonical links, and supports penalization using the MCP, SCAD, or LASSO penalties. The MCECM algorithm is described in Rashid et al. (2020) <doi:10.1080/01621459.2019.1671197>. The techniques used in the minimization portion of the procedure (the M-step) are derived from the procedures of the 'ncvreg' package (Breheny and Huang (2011) <doi:10.1214/10-AOAS388>) and 'grpreg' package (Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>), with appropriate modifications to account for the estimation and penalization of the random effects. The 'ncvreg' and 'grpreg' packages also describe the MCP, SCAD, and LAS [...truncated...]
Author: Hillary Heiling [aut, cre], Naim Rashid [aut], Quefeng Li [aut]
Maintainer: Hillary Heiling <hheiling@live.unc.edu>

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Package statgenHTP updated to version 1.0.6 with previous version 1.0.5 dated 2021-09-15

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://eppn2020.plant-phenotyping.eu/>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package receptiviti updated to version 0.1.3 with previous version 0.1.2 dated 2022-10-06

Title: Text Analysis Through the 'Receptiviti' API
Description: Send text to the <https://www.receptiviti.com> API to be scored by all available frameworks.
Author: Receptiviti Inc. [fnd, cph], Kent English [cre], Micah Iserman [aut, ctr]
Maintainer: Kent English <kenglish@receptiviti.com>

Diff between receptiviti versions 0.1.2 dated 2022-10-06 and 0.1.3 dated 2022-12-13

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Package norgeo updated to version 2.1.3 with previous version 2.1.2 dated 2022-11-07

Title: Tracking Geo Code Change of Regional Granularity in Norway
Description: Regional granularity levels in Norway which are depicted by different codes, have undergone several changes over the years. Identifying when codes have changed and how many changes have taken place can be troublesome. This package will help to identify these changes and when the changes have taken place. One of the limitation of this package is that it is heavily depending on the codes available from SSB website <https://data.ssb.no/api/klass/v1/api-guide.html>.
Author: Yusman Kamaleri [aut, cre]
Maintainer: Yusman Kamaleri <ybkamaleri@gmail.com>

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Package evaluate updated to version 0.19 with previous version 0.18 dated 2022-11-07

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevičius [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package RcppSpdlog updated to version 0.0.11 with previous version 0.0.10 dated 2022-11-17

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package GENLIB updated to version 1.1.8 with previous version 1.1.7 dated 2022-11-16

Title: Genealogical Data Analysis
Description: Genealogical data analysis including descriptive statistics (e.g., kinship and inbreeding coefficients) and gene-dropping simulations. See: "GENLIB: an R package for the analysis of genealogical data" Gauvin et al. (2015) <doi:10.1186/s12859-015-0581-5>.
Author: Louis Houde [aut], Jean-Francois Lefebvre [aut], Valery Roy-Lagace [aut], Sebastien Lemieux [aut], Michael J. Fromberger [ctb], Jarno van der Kolk [ctb], Mohan Rakesh [ctb], Marie-Helene Roy-Gagnon [cre]
Maintainer: Marie-Helene Roy-Gagnon <mroygagn@uottawa.ca>

Diff between GENLIB versions 1.1.7 dated 2022-11-16 and 1.1.8 dated 2022-12-13

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Package prettyglm updated to version 1.0.0 with previous version 0.1.0 dated 2021-06-24

Title: Pretty Summaries of Generalized Linear Model Coefficients
Description: One of the main advantages of using Generalised Linear Models is their interpretability. The goal of 'prettyglm' is to provide a set of functions which easily create beautiful coefficient summaries which can readily be shared and explained. 'prettyglm' helps users create coefficient summaries which include categorical base levels, variable importance and type III p.values. 'prettyglm' also creates beautiful relativity plots for categorical, continuous and splined coefficients.
Author: Jared Fowler [cre, aut]
Maintainer: Jared Fowler <jared.fowler8@gmail.com>

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Package nestfs updated to version 1.0.3 with previous version 1.0.2 dated 2022-05-10

Title: Cross-Validated (Nested) Forward Selection
Description: Implementation of forward selection based on cross-validated linear and logistic regression.
Author: Marco Colombo [aut, cre] , Felix Agakov [ctb]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

Diff between nestfs versions 1.0.2 dated 2022-05-10 and 1.0.3 dated 2022-12-13

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New package nemBM with initial version 1.00.00
Package: nemBM
Title: Using Network Evolution Models to Generate Networks with Selected Blockmodel Type
Version: 1.00.00
Description: To study network evolution models and different blockmodeling approaches. Various functions enable generating (temporal) networks with a selected blockmodel type, taking into account selected local network mechanisms. The development of this package is financially supported by the Slovenian Research Agency (www.arrs.gov.si) within the research programs P5-0168 and the research project J7-8279 (Blockmodeling multilevel and temporal networks).
Depends: ergm, blockmodeling
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-12-13 11:27:45 UTC; marss
Author: Marjan Cugmas [aut, cre], Ales Ziberna [aut]
Maintainer: Marjan Cugmas <marjan.cugmas@fdv.uni-lj.si>
Repository: CRAN
Date/Publication: 2022-12-13 13:10:02 UTC

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Package FisPro updated to version 1.1.2 with previous version 1.1.1 dated 2022-04-19

Title: Fuzzy Inference System Design and Optimization
Description: Fuzzy inference systems are based on fuzzy rules, which have a good capability for managing progressive phenomenons. This package is a basic implementation of the main functions to use a Fuzzy Inference System (FIS) provided by the open source software 'FisPro' <https://www.fispro.org>. 'FisPro' allows to create fuzzy inference systems and to use them for reasoning purposes, especially for simulating a physical or biological system.
Author: Serge Guillaume [aut], Brigitte Charnomordic [aut], Jean-Luc Lablee [aut, cre], Hazael Jones [ctb], Lydie Desperben [ctb], INRAE [cph]
Maintainer: Jean-Luc Lablee <jean-luc.lablee@inrae.fr>

Diff between FisPro versions 1.1.1 dated 2022-04-19 and 1.1.2 dated 2022-12-13

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 17 files changed, 238 insertions(+), 200 deletions(-)

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Package adaptr updated to version 1.2.0 with previous version 1.1.1 dated 2022-08-16

Title: Adaptive Trial Simulator
Description: Package that simulates adaptive clinical trials using adaptive stopping, adaptive arm dropping, and/or adaptive randomisation. Developed as part of the INCEPT (Intensive Care Platform Trial) project (<https://incept.dk/>), which is primarily supported by a grant from Sygeforsikringen "danmark" (<https://www.sygeforsikring.dk/>).
Author: Anders Granholm [aut, cre] , Benjamin Skov Kaas-Hansen [aut] , Aksel Karl Georg Jensen [ctb] , Theis Lange [ctb]
Maintainer: Anders Granholm <andersgran@gmail.com>

Diff between adaptr versions 1.1.1 dated 2022-08-16 and 1.2.0 dated 2022-12-13

 DESCRIPTION                                                                                 |   11 
 MD5                                                                                         |  191 -
 NAMESPACE                                                                                   |    5 
 NEWS.md                                                                                     |  179 -
 R/adaptr-package.R                                                                          |   24 
 R/check_performance.R                                                                       |only
 R/extract_results.R                                                                         |  544 +--
 R/find_beta_params.R                                                                        |   28 
 R/plot_convergence.R                                                                        |only
 R/plot_history.R                                                                            |  492 +-
 R/plot_status.R                                                                             |  445 +-
 R/print.R                                                                                   |  144 
 R/prob_funs.R                                                                               |  408 +-
 R/run_trial.R                                                                               | 1376 ++++----
 R/run_trials.R                                                                              |  717 ++--
 R/setup_trial.R                                                                             |  383 +-
 R/summary.R                                                                                 |  297 -
 R/test_helpers.R                                                                            |   61 
 R/update_saved_trials.R                                                                     |only
 R/utils.R                                                                                   |  520 +--
 R/utils_plots.R                                                                             |   16 
 R/zzz.R                                                                                     |   88 
 README.md                                                                                   |   88 
 inst/doc/Advanced-example.Rmd                                                               |  820 ++--
 inst/doc/Advanced-example.html                                                              |   40 
 inst/doc/Basic-examples.R                                                                   |   34 
 inst/doc/Basic-examples.Rmd                                                                 |   57 
 inst/doc/Basic-examples.html                                                                |  211 -
 inst/doc/Overview.R                                                                         |   18 
 inst/doc/Overview.Rmd                                                                       |  407 +-
 inst/doc/Overview.html                                                                      |  429 +-
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 man/adaptr-package.Rd                                                                       |   24 
 man/assert_pkgs.Rd                                                                          |    5 
 man/calculate_idp.Rd                                                                        |only
 man/check_performance.Rd                                                                    |only
 man/dispatch_trial_runs.Rd                                                                  |    9 
 man/extract_history.Rd                                                                      |   27 
 man/extract_results.Rd                                                                      |   21 
 man/extract_statuses.Rd                                                                     |   11 
 man/figures/README-plot-1.png                                                               |binary
 man/find_beta_params.Rd                                                                     |    4 
 man/make_x_scale.Rd                                                                         |    5 
 man/make_y_scale.Rd                                                                         |   15 
 man/plot_convergence.Rd                                                                     |only
 man/plot_history.Rd                                                                         |   20 
 man/plot_status.Rd                                                                          |   44 
 man/print.Rd                                                                                |   29 
 man/replace_nonfinite.Rd                                                                    |only
 man/replace_null.Rd                                                                         |    2 
 man/run_trial.Rd                                                                            |  145 
 man/run_trials.Rd                                                                           |   20 
 man/setup_trial.Rd                                                                          |  131 
 man/setup_trial_binom.Rd                                                                    |  106 
 man/setup_trial_norm.Rd                                                                     |  106 
 man/stop0_warning0.Rd                                                                       |only
 man/summarise_num.Rd                                                                        |only
 man/summary.Rd                                                                              |   83 
 man/update_saved_trials.Rd                                                                  |only
 man/validate_trial.Rd                                                                       |  104 
 man/vapply_helpers.Rd                                                                       |    3 
 tests/testthat/_snaps/check_performance.md                                                  |only
 tests/testthat/_snaps/extract.md                                                            | 1710 +++++-----
 tests/testthat/_snaps/plot_convergence                                                      |only
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 tests/testthat/_snaps/plot_status.md                                                        |  333 +
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 tests/testthat/_snaps/plot_status/status-plot-for-arm-c-binom.svg                           |  134 
 tests/testthat/_snaps/run_trials.md                                                         |  708 ++--
 tests/testthat/_snaps/setup_trial.md                                                        |  240 -
 tests/testthat/_snaps/summary-print.md                                                      |  534 ++-
 tests/testthat/_snaps/utils.md                                                              |only
 tests/testthat/setup_testdata_files.R                                                       |   52 
 tests/testthat/test-check_performance.R                                                     |only
 tests/testthat/test-extract.R                                                               |   35 
 tests/testthat/test-find_beta_params.R                                                      |   10 
 tests/testthat/test-plot_convergence.R                                                      |only
 tests/testthat/test-plot_history.R                                                          |   42 
 tests/testthat/test-plot_status.R                                                           |   16 
 tests/testthat/test-prob_funs.R                                                             |   14 
 tests/testthat/test-run_trials.R                                                            |  207 +
 tests/testthat/test-setup_trial.R                                                           |  131 
 tests/testthat/test-summary-print.R                                                         |   29 
 tests/testthat/test-update_saved_trials.R                                                   |only
 tests/testthat/test-utils.R                                                                 |   25 
 vignettes/Advanced-example.Rmd                                                              |  820 ++--
 vignettes/Basic-examples.Rmd                                                                |   57 
 vignettes/Overview.Rmd                                                                      |  407 +-
 110 files changed, 8333 insertions(+), 6212 deletions(-)

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New package ToxicR with initial version 22.12.1.0.7
Package: ToxicR
Title: Analyzing Toxicology Dose-Response Data
Version: 22.12.1.0.7
Date: 2022-12-15
Maintainer: Matt Wheeler <matt.wheeler@nih.gov>
Copyright: file inst/COPYRIGHTS
Description: Toxicology routines for analyzing dose-response data include dose-response analysis and trend tests. Dose-Response methods are based upon the US EPA's benchmark dose software 3. Methods have been extended to include additional functionality based on World Health Organization guidelines. It further supports the European Food Safety Authority's draft guidance on model averaging. The dose-response methods and datasets used in this package are described in Wheeler et al. (2019) <doi:10.1111/risa.13218>, Wheeler et al. (2020) <doi:10.1111/risa.13537>, and Wheeler et al. (2022) <doi:10.1002/env.2728>. NTP routines are described in Bailer and Portier (1988) <doi:10.2307/2531856>, Bieler and Williams (1993) <doi:10.2307/2532200>, Williams (1971) <doi:10.2307/2528930>, and Shirley (1977) <doi:10.2307/2529789>.
Depends: R (>= 4.1.0)
License: LGPL (>= 3)
URL: https://github.com/NIEHS/ToxicR
LazyData: true
Imports: Rcpp (>= 1.0.0), ggplot2 (>= 3.3.2), shiny (>= 1.5.0), coda (>= 0.19-4), scales (>= 1.1.1), tidyverse (>= 1.3.0), forcats, ggridges (>= 0.5.3), doBy (>= 4.6.11), multcomp (>= 1.4), dplyr (>= 1.0.7)
LinkingTo: Rcpp, RcppEigen, RcppGSL
VignetteBuilder: knitr
Suggests: plotly (>= 4.9.2.1), rmarkdown, actuar (>= 3.2-0),ggpubr (>= 0.4.0), testthat (>= 3.1.0),gridExtra (>= 2.3), VIM (>= 6.1.1), knitr (>= 1.36), modules
NeedsCompilation: yes
Packaged: 2022-12-12 12:59:33 UTC; wheelermw
Author: Matt Wheeler [aut, cre] , Sooyeong Lim [aut], Eric Wimberly [ctb], Keith Shockley [com], Jennifer Fostel [com], Lonlong Yang [ctb] , Dawan Taley [com], Cari Martini [com], Ashwin Raghuraman [ctb] to make them standalone functions.), Steven Johnson [ [...truncated...]
Repository: CRAN
Date/Publication: 2022-12-13 12:40:05 UTC

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New package rock with initial version 0.6.7
Package: rock
Title: Reproducible Open Coding Kit
Version: 0.6.7
Maintainer: Gjalt-Jorn Ygram Peters <rock@opens.science>
Description: The Reproducible Open Coding Kit ('ROCK', and this package, 'rock') was developed to facilitate reproducible and open coding, specifically geared towards qualitative research methods. Although it is a general-purpose toolkit, three specific applications have been implemented, specifically an interface to the 'rENA' package that implements Epistemic Network Analysis ('ENA'), means to process notes from Cognitive Interviews ('CIs'), and means to work with decentralized construct taxonomies ('DCTs'). The 'ROCK' and this 'rock' package are described in the ROCK book <https:rockbook.org>.
BugReports: https://gitlab.com/r-packages/rock/-/issues
URL: https://rock.opens.science
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0.0)
Imports: data.tree (>= 0.7.8), dplyr (>= 0.7.8), DiagrammeR (>= 1.0.0), DiagrammeRsvg (>= 0.1), ggplot2 (>= 3.2.0), glue (>= 1.3.0), graphics (>= 3.0.0), htmltools (>= 0.5.0), markdown (>= 1.1), purrr (>= 0.2.5), stats (>= 3.0.0), utils (>= 3.5.0), yaml (>= 2.2.0), yum (>= 0.1.0)
Suggests: covr, googlesheets4, haven (>= 2.4), justifier (>= 0.2), knitr, limonaid, openxlsx (>= 4.2), pdftools, preregr (>= 0.1.9), rENA (>= 0.1.6), readxl, rmarkdown, rvest, rstudioapi, striprtf, testthat, writexl, XLConnect, xml2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-12-12 19:37:33 UTC; gjalt
Author: Gjalt-Jorn Ygram Peters [aut, cre] , Szilvia Zorgo [aut, ctb]
Repository: CRAN
Date/Publication: 2022-12-13 12:30:02 UTC

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New package nestedpp with initial version 0.1.0
Package: nestedpp
Title: Performance Profiles and Nested Performance Profiles
Version: 0.1.0
Description: Library to plot performance profiles (Dolan and More (2002) <doi:10.1007/s101070100263>) and nested performance profiles (Hekmati and Mirhajianmoghadam (2019) <doi:10.19139/soic-2310-5070-679>) for a given data frame.
License: GPL-3
Language: en-US
Imports: ggplot2, reshape2
NeedsCompilation: no
Packaged: 2022-12-12 17:52:56 UTC; Brais
Author: Brais Gonzalez-Rodriguez [aut, cre]
Maintainer: Brais Gonzalez-Rodriguez <braisgonzalez.rodriguez@usc.es>
Repository: CRAN
Date/Publication: 2022-12-13 12:50:02 UTC

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New package mmeta with initial version 2.4
Package: mmeta
Title: Multivariate Meta-Analysis
Version: 2.4
Date: 2022-12-12
Maintainer: Jiajie Chen <jiajie.chen@pennmedicine.upenn.edu>
Description: Multiple 2 by 2 tables often arise in meta-analysis which combines statistical evidence from multiple studies. Two risks within the same study are possibly correlated because they share some common factors such as environment and population structure. This package implements a set of novel Bayesian approaches for multivariate meta analysis when the risks within the same study are independent or correlated. The exact posterior inference of odds ratio, relative risk, and risk difference given either a single 2 by 2 table or multiple 2 by 2 tables is provided. Luo, Chen, Su, Chu, (2014) <doi:10.18637/jss.v056.i11>, Chen, Luo, (2011) <doi:10.1002/sim.4248>, Chen, Chu, Luo, Nie, Chen, (2015) <doi:10.1177/0962280211430889>, Chen, Luo, Chu, Su, Nie, (2014) <doi:10.1080/03610926.2012.700379>, Chen, Luo, Chu, Wei, (2013) <doi:10.1080/19466315.2013.791483>.
Depends: R (>= 2.10.0)
Imports: aod
License: GPL (>= 2)
LazyLoad: no
Packaged: 2022-12-12 20:52:27 UTC; thech
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2022-12-13 12:40:02 UTC
Suggests: spelling, testthat (>= 3.0.0)
Language: en-US
Author: Sheng Luo [aut], Yong Chen [aut], Xiao Su [aut], Haitao Chu [aut], Jiajie Chen [cre], Wally Gilks [ctb], Giovanni Petris [ctb], Luca Tardella [ctb]

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New package MBMethPred with initial version 0.1.0
Package: MBMethPred
Title: Medulloblastoma Subgroups Prediction
Version: 0.1.0
Date: 2022-11-23
Description: Utilizing a combination of machine learning models (Random Forest, Naive Bayes, K-Nearest Neighbor, Support Vector Machines, Extreme Gradient Boosting, and Linear Discriminant Analysis) and a deep Artificial Neural Network model, 'MBMethPred' can predict medulloblastoma subgroups, including wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4 from methylation data.
Maintainer: Edris Sharif Rahmani <rahmani.biotech@gmail.com>
BugReports: https://github.com/sharifrahmanie/MBMethPred/issues
License: GPL
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Imports: stringr, ggplot2, parallel, caTools, caret, keras, MASS, Rtsne, SNFtool, class, dplyr, e1071, pROC, randomForest, readr, reshape2, reticulate, rgl, tensorflow, xgboost
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat, utils, stats, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-12-11 15:41:00 UTC; root
Author: Edris Sharif Rahmani [aut, ctb, cre] , Ankita Sunil Lawarde [aut, ctb] , Vijayachitra Modhukur [aut, ctb]
Repository: CRAN
Date/Publication: 2022-12-13 12:20:02 UTC

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New package matchFeat with initial version 1.0
Package: matchFeat
Title: One-to-One Feature Matching
Version: 1.0
Date: 2022-12-10
Author: David Degras
Maintainer: David Degras <david.degras@umb.edu>
Description: Statistical methods to match feature vectors between multiple datasets in a one-to-one fashion. Given a fixed number of classes/distributions, for each unit, exactly one vector of each class is observed without label. The goal is to label the feature vectors using each label exactly once so to produce the best match across datasets, e.g. by minimizing the variability within classes. Statistical solutions based on empirical loss functions and probabilistic modeling are provided. The 'Gurobi' software and its 'R' interface package are required for one of the package functions (match.2x()) and can be obtained at <https://www.gurobi.com/> (free academic license). For more details, refer to Degras (2022) <doi:10.1080/10618600.2022.2074429> "Scalable feature matching for large data collections" and Bandelt, Maas, and Spieksma (2004) <doi:10.1057/palgrave.jors.2601723> "Local search heuristics for multi-index assignment problems with decomposable costs".
License: GPL-2
Depends: R (>= 3.5.0)
Imports: clue, foreach, methods, utils
Suggests: gurobi
NeedsCompilation: no
Packaged: 2022-12-10 20:03:42 UTC; daviddegras
Repository: CRAN
Date/Publication: 2022-12-13 12:30:07 UTC

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New package jgsbook with initial version 1.0.2
Package: jgsbook
Title: Package of the German Book "Statistik mit R und RStudio" by Joerg grosse Schlarmann
Description: All datasets and functions used in the german book "Statistik mit R und RStudio" by grosse Schlarmann (2022) <https://www.produnis.de/R/>.
Version: 1.0.2
Date: 2022-12-11
Language: de-de
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: statip, jsonlite, httr, curl
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-12 14:55:04 UTC; produnis
Author: Joerg große Schlarmann [aut, cre]
Maintainer: Joerg große Schlarmann <schlarmann@produnis.de>
Repository: CRAN
Date/Publication: 2022-12-13 12:50:05 UTC

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New package DLSSM with initial version 0.1.0
Package: DLSSM
Title: Dynamic Logistic State Space Prediction Model
Version: 0.1.0
Maintainer: Jiakun Jiang <jiakunj@bnu.edu.cn>
Description: Implements the dynamic logistic state space model for binary outcome data proposed by Jiang et al. (2021) <doi:10.1111/biom.13593>. It provides a computationally efficient way to update the prediction whenever new data becomes available. It allows for both time-varying and time-invariant coefficients, and use cubic smoothing splines to model varying coefficients. The smoothing parameters are objectively chosen by maximum likelihood. The model is updated using batch data accumulated at pre-specified time intervals.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Matrix
Depends: R (>= 3.10)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-12-13 00:56:54 UTC; jiakun
Author: Jiakun Jiang [aut, cre], Wei Yang [aut], Wensheng Guo [aut]
Repository: CRAN
Date/Publication: 2022-12-13 12:40:08 UTC

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New package CEC with initial version 0.11.0
Package: CEC
Title: Cross-Entropy Clustering
Version: 0.11.0
Date: 2022-12-12
Maintainer: Simon Garnier <garnier@njit.edu>
Description: Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. 'CEC' is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.
ByteCompile: true
URL: https://github.com/swarm-lab/cec, https://swarm-lab.github.io/cec/
Encoding: UTF-8
LazyData: true
Imports: graphics, methods, stats, utils
NeedsCompilation: yes
SystemRequirements: C++11
License: GPL-3
Packaged: 2022-12-12 13:45:16 UTC; simon
Author: Kamieniecki Konrad [aut], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb]
Repository: CRAN
Date/Publication: 2022-12-13 12:40:11 UTC

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New package amazons3R with initial version 0.1.0
Package: amazons3R
Title: Get Amazon S3 Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from Amazon S3 using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-12 18:49:09 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-12-13 12:30:10 UTC

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Package GSE updated to version 4.2-1 with previous version 4.2 dated 2019-04-12

Title: Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data
Description: Robust Estimation of Multivariate Location and Scatter in the Presence of Cellwise and Casewise Contamination and Missing Data.
Author: Andy Leung, Mike Danilov, Victor Yohai, Ruben Zamar
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>

Diff between GSE versions 4.2 dated 2019-04-12 and 4.2-1 dated 2022-12-13

 DESCRIPTION    |    8 ++++----
 MD5            |    8 ++++----
 man/boston.Rd  |    2 +-
 man/calcium.Rd |    4 ++--
 src/cov-em.cpp |    4 ++--
 5 files changed, 13 insertions(+), 13 deletions(-)

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Package StrucDiv updated to version 0.2.0 with previous version 0.1.1 dated 2022-08-11

Title: Spatial Structural Diversity Quantification in Raster Data
Description: Spatial structural diversity refers to the spatial, i.e. horizontal arrangement of landscape elements and can reveal itself as landscape features, such as patches and linear features. The 'R' package 'StrucDiv' provides methods to quantify spatial structural diversity in continuous remote sensing data, or in other data in raster format. Structure is based on the spatial arrangement of value pairs. The 'R' package 'StrucDiv' includes methods to combine information from different spatial scales, which allows to quantify multi-scale spatial structural diversity.
Author: Leila Schuh [aut, cre] , Reinhard Furrer [aut] , Kalina Cherneva [ctb, ctr], Kirill Mueller [ctr], Patrick Schratz [ctr], University Research Priority Progam Global Change and Biodiversity of the University of Zurich [fnd]
Maintainer: Leila Schuh <l.schuh@posteo.net>

Diff between StrucDiv versions 0.1.1 dated 2022-08-11 and 0.2.0 dated 2022-12-13

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 StrucDiv-0.2.0/StrucDiv/NAMESPACE                             |   19 
 StrucDiv-0.2.0/StrucDiv/R/RcppExports.R                       |  156 ++
 StrucDiv-0.2.0/StrucDiv/R/StrucDiv.R                          |  144 +-
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Package SLFPCA updated to version 3.0 with previous version 2.0 dated 2022-02-03

Title: Sparse Logistic Functional Principal Component Analysis
Description: Implementation for sparse logistic functional principal component analysis (SLFPCA). SLFPCA is specifically developed for functional binary data, and the estimated eigenfunction can be strictly zero on some sub-intervals, which is helpful for interpretation. The crucial function of this package is SLFPCA().
Author: Rou Zhong [aut, cre], Jingxiao Zhang [aut]
Maintainer: Rou Zhong <zhong_rou@163.com>

Diff between SLFPCA versions 2.0 dated 2022-02-03 and 3.0 dated 2022-12-13

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Package tinytex updated to version 0.43 with previous version 0.42 dated 2022-09-27

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

Diff between tinytex versions 0.42 dated 2022-09-27 and 0.43 dated 2022-12-13

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Package ClusterR updated to version 1.2.9 with previous version 1.2.8 dated 2022-12-03

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] , Conrad Sanderson [cph] , Ryan Curtin [cph] , Siddharth Agrawal [cph] ), Brendan Frey [cph] ), Delbert Dueck [cph] , Vitalie Spinu [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between ClusterR versions 1.2.8 dated 2022-12-03 and 1.2.9 dated 2022-12-13

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Package bookdown updated to version 0.31 with previous version 0.30 dated 2022-11-09

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Christophe Dervieux [ctb], Clift [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package hydrorecipes (with last version 0.0.3) was removed from CRAN

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

2022-06-27 0.0.3

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Package progressr updated to version 0.12.0 with previous version 0.11.0 dated 2022-09-02

Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar(), cli::cli_progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beepr::beep(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will als [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between progressr versions 0.11.0 dated 2022-09-02 and 0.12.0 dated 2022-12-13

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Package xaringan updated to version 0.28 with previous version 0.27 dated 2022-11-07

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] , Alessandro Gasparini [ctb] , Benjie Gillam [ctb], Claus Thorn Ekstroem [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Deo Salil [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] , Inaki Ucar [ctb] , John Little [ctb], Joselyn Ch [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between xaringan versions 0.27 dated 2022-11-07 and 0.28 dated 2022-12-13

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Package pagedown updated to version 0.20 with previous version 0.19 dated 2022-09-26

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] , Romain Lesur [aut, cph] , Brent Thorne [aut] , Xianying Tan [aut] , Christophe Dervieux [ctb] , Atsushi Yasumoto [ctb] , RStudio, PBC [cph], Adam Hyde [ctb] , Min-Zhong Lu [ctb] , Zulko [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between pagedown versions 0.19 dated 2022-09-26 and 0.20 dated 2022-12-13

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Package blogdown updated to version 1.16 with previous version 1.15 dated 2022-11-07

Title: Create Blogs and Websites with R Markdown
Description: Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<https://gohugo.io>) best, and it also supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Author: Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Alison Presmanes Hill [aut] , Amber Thomas [ctb], Beilei Bian [ctb], Brandon Greenwell [ctb], Brian Barkley [ctb], Deependra Dhakal [ctb], Eric Nantz [ctb], Forest Fang [ctb], Garrick Aden-Buie [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between blogdown versions 1.15 dated 2022-11-07 and 1.16 dated 2022-12-13

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