Fri, 25 Nov 2022

Package onemap updated to version 3.0.0 with previous version 2.8.2 dated 2022-02-11

Title: Construction of Genetic Maps in Experimental Crosses
Description: Analysis of molecular marker data from model (backcrosses, F2 and recombinant inbred lines) and non-model systems (i. e. outcrossing species). For the later, it allows statistical analysis by simultaneously estimating linkage and linkage phases (genetic map construction) according to Wu et al. (2002) <doi:10.1006/tpbi.2002.1577>. All analysis are based on multipoint approaches using hidden Markov models.
Author: Gabriel Margarido [aut], Marcelo Mollinari [aut], Cristiane Taniguti [ctb, cre], Getulio Ferreira [ctb], Rodrigo Amadeu [ctb], Karl Broman [ctb], Katharine Preedy [ctb, cph] , Bastian Schiffthaler [ctb, cph] , Augusto Garcia [aut, ctb]
Maintainer: Cristiane Taniguti <chtaniguti@tamu.edu>

Diff between onemap versions 2.8.2 dated 2022-02-11 and 3.0.0 dated 2022-11-25

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Package worldfootballR updated to version 0.6.2 with previous version 0.6.1 dated 2022-10-14

Title: Extract and Clean World Football (Soccer) Data
Description: Allow users to obtain clean and tidy football (soccer) game, team and player data. Data is collected from a number of popular sites, including 'FBref', transfer and valuations data from 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and other match stats data from 'Understat'<https://understat.com/> and 'fotmob'<https://www.fotmob.com/>. It gives users the ability to access data more efficiently, rather than having to export data tables to files before being able to complete their analysis.
Author: Jason Zivkovic [aut, cre, cph], Tony ElHabr [ctb], Tan Ho [ctb], Samuel H [ctb]
Maintainer: Jason Zivkovic <jaseziv83@gmail.com>

Diff between worldfootballR versions 0.6.1 dated 2022-10-14 and 0.6.2 dated 2022-11-25

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Package SIMICO updated to version 0.2.0 with previous version 0.1.0 dated 2022-11-07

Title: Set-Based Inference for Multiple Interval-Censored Outcomes
Description: Contains tests for association between a set of genetic variants and multiple correlated outcomes that are interval censored. Interval-censored data arises when the exact time of the onset of an outcome of interest is unknown but known to fall between two time points.
Author: Jaihee Choi [aut, cre], Ryan Sun [aut]
Maintainer: Jaihee Choi <jaiheechoi01@gmail.com>

Diff between SIMICO versions 0.1.0 dated 2022-11-07 and 0.2.0 dated 2022-11-25

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Package see updated to version 0.7.4 with previous version 0.7.3 dated 2022-09-20

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/colors>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, ctb] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut, cre] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Matthew Smith [rev] , Jakob Bossek [re [...truncated...]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between see versions 0.7.3 dated 2022-09-20 and 0.7.4 dated 2022-11-25

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More information about see at CRAN
Permanent link

Package DDHFm updated to version 1.1.3 with previous version 1.1.2 dated 2016-10-24

Title: Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)
Description: Contains the normalizing and variance stabilizing Data-Driven Haar-Fisz algorithm. Also contains related algorithms for simulating from certain microarray gene intensity models and evaluation of certain transformations. Contains cDNA and shipping credit flow data.
Author: Efthimios Motakis [aut], Guy Nason [aut, cre], Piotr Fryzlewicz [aut]
Maintainer: Guy Nason <g.nason@imperial.ac.uk>

Diff between DDHFm versions 1.1.2 dated 2016-10-24 and 1.1.3 dated 2022-11-25

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Package VisualizeSimon2Stage updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-28

Title: Visualize Simon's Two-Stage Design
Description: Functions for visualizing the probabilities of early termination, fail and success of Simon's two-stage design. Functions for evaluating and visualizing the operating characteristics of Simon's two-stage design.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between VisualizeSimon2Stage versions 0.1.0 dated 2022-06-28 and 0.1.1 dated 2022-11-25

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Package flexrsurv updated to version 2.0.13 with previous version 2.0.11 dated 2022-08-24

Title: Flexible Relative Survival Analysis
Description: Package for parametric relative survival analyses. It allows to model non-linear and non-proportional effects and both non proportional and non linear effects, using splines (B-spline and truncated power basis), Weighted Cumulative Index of Exposure effect, with correction model for the life table. Both non proportional and non linear effects are described in Remontet, L. et al. (2007) <doi:10.1002/sim.2656> and Mahboubi, A. et al. (2011) <doi:10.1002/sim.4208>.

Permanent link

Package fxTWAPLS updated to version 0.1.2 with previous version 0.1.1 dated 2022-06-06

Title: An Improved Version of WA-PLS
Description: The goal of this package is to provide an improved version of WA-PLS (Weighted Averaging Partial Least Squares) by including the tolerances of taxa and the frequency of the sampled climate variable. This package also provides a way of leave-out cross-validation that removes both the test site and sites that are both geographically close and climatically close for each cycle, to avoid the risk of pseudo-replication.
Author: Mengmeng Liu [aut] , Iain Colin Prentice [aut] , Cajo J. F. ter Braak [aut] , Sandy P. Harrison [aut] , Roberto Villegas-Diaz [aut, cre] , SPECIAL Research Group @ University of Reading [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>

Diff between fxTWAPLS versions 0.1.1 dated 2022-06-06 and 0.1.2 dated 2022-11-25

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Package RRreg updated to version 0.7.5 with previous version 0.7.4 dated 2022-11-10

Title: Correlation and Regression Analyses for Randomized Response Data
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69, <doi:10.2307/2283137>). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), or as predictors in a linear regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for correlation and regression analyses of randomized response data. Journal of Statistical Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the estimation of statistical power, RR data can be generated according to several models. The implemented methods also allow to test the link between continuous covariates and dishonesty in cheating paradigms such as the coin-toss or dice-roll task (Moshagen, M., & [...truncated...]
Author: Daniel W. Heck [cre, aut] , Morten Moshagen [ctb]
Maintainer: Daniel W. Heck <daniel.heck@uni-marburg.de>

Diff between RRreg versions 0.7.4 dated 2022-11-10 and 0.7.5 dated 2022-11-25

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More information about RRreg at CRAN
Permanent link

Package nfer updated to version 1.1.1 with previous version 1.1.0 dated 2022-03-28

Title: Event Stream Abstraction using Interval Logic
Description: This is the R API for the 'nfer' formalism (<http://nfer.io/>). 'nfer' was developed to specify event stream abstractions for spacecraft telemetry such as the Mars Science Laboratory. Users write rules using a syntax that borrows heavily from Allen's Temporal Logic that, when applied to an event stream, construct a hierarchy of temporal intervals with data. The R API supports loading rules from a file or mining them from historical data. Traces of events or pools of intervals are provided as data frames.
Author: Sean Kauffman [aut, cre]
Maintainer: Sean Kauffman <seank@cs.aau.dk>

Diff between nfer versions 1.1.0 dated 2022-03-28 and 1.1.1 dated 2022-11-25

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More information about nfer at CRAN
Permanent link

Package sensobol updated to version 1.1.3 with previous version 1.1.2 dated 2022-11-16

Title: Computation of Variance-Based Sensitivity Indices
Description: It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol' indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.
Author: Arnald Puy [aut, cre] , Bertrand Ioos [ctb] , Gilles Pujol [ctb] , RStudio [cph]
Maintainer: Arnald Puy <arnald.puy@pm.me>

Diff between sensobol versions 1.1.2 dated 2022-11-16 and 1.1.3 dated 2022-11-25

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More information about sensobol at CRAN
Permanent link

Package duckdb updated to version 0.6.0 with previous version 0.5.1 dated 2022-09-20

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and a R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut, cre] , Mark Raasveldt [aut] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrochers [cph], Victor Z [...truncated...]
Maintainer: Hannes Muehleisen <hannes@cwi.nl>

Diff between duckdb versions 0.5.1 dated 2022-09-20 and 0.6.0 dated 2022-11-25

 DESCRIPTION                                                                                   |    6 
 MD5                                                                                           | 1587 
 R/backend-dbplyr__duckdb_connection.R                                                         |    2 
 R/cpp11.R                                                                                     |    4 
 R/dbFetch__duckdb_result.R                                                                    |    2 
 R/register.R                                                                                  |    5 
 R/relational.R                                                                                |    4 
 man/backend-duckdb.Rd                                                                         |    2 
 man/duckdb_register.Rd                                                                        |    4 
 man/rel_from_df.Rd                                                                            |    2 
 src/Makevars                                                                                  |    4 
 src/Makevars.win                                                                              |    4 
 src/altrep.cpp                                                                                |   19 
 src/cpp11.cpp                                                                                 |   82 
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 src/duckdb/src/catalog/catalog.cpp                                                            |    4 
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 src/duckdb/src/catalog/dependency_manager.cpp                                                 |   24 
 src/duckdb/src/common/allocator.cpp                                                           |   51 
 src/duckdb/src/common/assert.cpp                                                              |    3 
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 src/duckdb/src/common/exception.cpp                                                           |   28 
 src/duckdb/src/common/file_buffer.cpp                                                         |   76 
 src/duckdb/src/common/file_system.cpp                                                         |   34 
 src/duckdb/src/common/fsst.cpp                                                                |only
 src/duckdb/src/common/hive_partitioning.cpp                                                   |    7 
 src/duckdb/src/common/local_file_system.cpp                                                   |   13 
 src/duckdb/src/common/operator/cast_operators.cpp                                             |   85 
 src/duckdb/src/common/preserved_error.cpp                                                     |   10 
 src/duckdb/src/common/printer.cpp                                                             |   58 
 src/duckdb/src/common/progress_bar.cpp                                                        |   64 
 src/duckdb/src/common/radix_partitioning.cpp                                                  |  109 
 src/duckdb/src/common/row_operations/row_external.cpp                                         |    4 
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 src/duckdb/src/common/serializer/buffered_file_writer.cpp                                     |   17 
 src/duckdb/src/common/sort/comparators.cpp                                                    |   28 
 src/duckdb/src/common/sort/radix_sort.cpp                                                     |   27 
 src/duckdb/src/common/sort/sorted_block.cpp                                                   |  129 
 src/duckdb/src/common/string_util.cpp                                                         |   14 
 src/duckdb/src/common/types.cpp                                                               |  110 
 src/duckdb/src/common/types/blob.cpp                                                          |   12 
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 src/duckdb/src/common/types/data_chunk.cpp                                                    |   48 
 src/duckdb/src/common/types/date.cpp                                                          |   19 
 src/duckdb/src/common/types/hash.cpp                                                          |   23 
 src/duckdb/src/common/types/hugeint.cpp                                                       |    6 
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 src/duckdb/src/common/types/string_type.cpp                                                   |    6 
 src/duckdb/src/common/types/timestamp.cpp                                                     |   39 
 src/duckdb/src/common/types/uuid.cpp                                                          |   12 
 src/duckdb/src/common/types/validity_mask.cpp                                                 |    6 
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 src/duckdb/src/common/types/vector.cpp                                                        |  294 
 src/duckdb/src/common/types/vector_buffer.cpp                                                 |    6 
 src/duckdb/src/common/types/vector_cache.cpp                                                  |   19 
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 src/duckdb/src/execution/index/art/art.cpp                                                    |  486 
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 src/duckdb/src/function/cast                                                                  |only
 src/duckdb/src/function/cast_rules.cpp                                                        |   62 
 src/duckdb/src/function/compression_config.cpp                                                |    7 
 src/duckdb/src/function/function.cpp                                                          |  312 
 src/duckdb/src/function/function_binder.cpp                                                   |only
 src/duckdb/src/function/function_set.cpp                                                      |   17 
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 src/duckdb/src/function/scalar/math/numeric.cpp                                               |    2 
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 src/duckdb/src/function/scalar/nested_functions.cpp                                           |    3 
 src/duckdb/src/function/scalar/sequence/nextval.cpp                                           |   27 
 src/duckdb/src/function/scalar/string/chr.cpp                                                 |   36 
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 src/duckdb/src/function/scalar/union                                                          |only
 src/duckdb/src/function/table/arrow.cpp                                                       |   53 
 src/duckdb/src/function/table/arrow_conversion.cpp                                            |   13 
 src/duckdb/src/function/table/copy_csv.cpp                                                    |   21 
 src/duckdb/src/function/table/range.cpp                                                       |    4 
 src/duckdb/src/function/table/read_csv.cpp                                                    |  459 
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 src/duckdb/src/function/table/table_scan.cpp                                                  |  115 
 src/duckdb/src/function/table/version/pragma_version.cpp                                      |    4 
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 src/duckdb/src/include/duckdb.h                                                               |   60 
 src/duckdb/src/include/duckdb/catalog/catalog_entry/column_dependency_manager.hpp             |   37 
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 src/duckdb/src/include/duckdb/common/helper.hpp                                               |    1 
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 src/duckdb/src/include/duckdb/main/capi                                                       |only
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 src/duckdb/ub_src_storage_compression.cpp                                                     |    4 
 src/duckdb/ub_src_storage_compression_chimp.cpp                                               |only
 src/duckdb/ub_src_storage_table.cpp                                                           |    6 
 src/register.cpp                                                                              |    4 
 src/statement.cpp                                                                             |   45 
 src/types.cpp                                                                                 |    3 
 tests/testthat/_snaps/types.md                                                                |   14 
 tests/testthat/helper-DBItest.R                                                               |    4 
 tests/testthat/test_arrow.R                                                                   |   31 
 tests/testthat/test_backend-dbplyr__duckdb_connection.R                                       |   30 
 tests/testthat/test_bind.R                                                                    |    8 
 tests/testthat/test_config_keyvalue.R                                                         |   20 
 tests/testthat/test_dbinfo.R                                                                  |    2 
 tests/testthat/test_explain.R                                                                 |   10 
 tests/testthat/test_extensions.R                                                              |    2 
 tests/testthat/test_factor.R                                                                  |   16 
 tests/testthat/test_fetch_arrow.R                                                             |   59 
 tests/testthat/test_integer64.R                                                               |    4 
 tests/testthat/test_interval.R                                                                |only
 tests/testthat/test_list.R                                                                    |    2 
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 tests/testthat/test_parquet.R                                                                 |    4 
 tests/testthat/test_read.R                                                                    |    2 
 tests/testthat/test_readonly.R                                                                |    2 
 tests/testthat/test_register.R                                                                |   46 
 tests/testthat/test_register_arrow.R                                                          |  138 
 tests/testthat/test_register_readonly.R                                                       |    4 
 tests/testthat/test_relational.R                                                              |   62 
 tests/testthat/test_struct.R                                                                  |    4 
 tests/testthat/test_tbl__duckdb_connection.R                                                  |   14 
 tests/testthat/test_timezone.R                                                                |   26 
 tests/testthat/test_types.R                                                                   |    4 
 tests/testthat/test_viewer.R                                                                  |   22 
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New package webSDM with initial version 1.1-1
Package: webSDM
Title: Including Known Interactions in Species Distribution Models
Version: 1.1-1
Description: A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.
License: GPL-3
Encoding: UTF-8
Imports: GGally, Matrix, abind, bayesplot, brms, broom.mixed, dismo, dplyr, ggplot2, glmnet, gridExtra, igraph, jtools, rstanarm, rstantools, utils
URL: https://github.com/giopogg/webSDM, https://giopogg.github.io/webSDM/
BugReports: https://github.com/giopogg/webSDM/issues
Suggests: knitr, rmarkdown, reshape2, devtools, loo, randomForest, network, sna, scales, intergraph
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-24 13:29:13 UTC; poggiatg
Author: Giovanni Poggiato [aut, cre, cph] , Jeremy Andreoletti [aut]
Maintainer: Giovanni Poggiato <giov.poggiato@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-11-25 12:40:02 UTC

More information about webSDM at CRAN
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Package tidyfit updated to version 0.6.0 with previous version 0.5.1 dated 2022-10-31

Title: Regularized Linear Modeling with Tidy Data
Description: An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>

Diff between tidyfit versions 0.5.1 dated 2022-10-31 and 0.6.0 dated 2022-11-25

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New package VSOLassoBag with initial version 0.99.0
Package: VSOLassoBag
Title: Variable Selection Oriented LASSO Bagging Algorithm
Version: 0.99.0
Date: 2022-11-10
Description: A wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: glmnet, survival, ggplot2, POT, parallel, utils, pbapply, methods, SummarizedExperiment
Suggests: rmarkdown, knitr, rmdformats, qpdf
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-25 06:33:23 UTC; zhou
Author: Jiaqi Liang [aut], Chaoye Wang [aut, cre]
Maintainer: Chaoye Wang <wangcy1@sysucc.org.cn>
Repository: CRAN
Date/Publication: 2022-11-25 12:50:02 UTC

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Package shinyMobile updated to version 1.0.0 with previous version 0.9.1 dated 2021-09-16

Title: Mobile Ready 'shiny' Apps with Standalone Capabilities
Description: Develop outstanding 'shiny' apps for 'iOS', 'Android', desktop as well as beautiful 'shiny' gadgets. 'shinyMobile' is built on top of the latest 'Framework7' template <https://framework7.io>. Discover 14 new input widgets (sliders, vertical sliders, stepper, grouped action buttons, toggles, picker, smart select, ...), 2 themes (light and dark), 12 new widgets (expandable cards, badges, chips, timelines, gauges, progress bars, ...) combined with the power of server-side notifications such as alerts, modals, toasts, action sheets, sheets (and more) as well as 3 layouts (single, tabs and split).
Author: David Granjon [aut, cre], Victor Perrier [aut], John Coene [ctb], Isabelle Rudolf [aut], Dieter Menne [ctb], Marvelapp [ctb, cph] , Vladimir Kharlampidi [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between shinyMobile versions 0.9.1 dated 2021-09-16 and 1.0.0 dated 2022-11-25

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New package json2aRgs with initial version 0.3.0
Package: json2aRgs
Title: Parse Parameters Inside a Docker Container
Version: 0.3.0
Description: The function get_parameters() is intended to be used within a docker container to read keyword arguments from a .json file automagically. A tool.yaml file contains specifications on these keyword arguments, which are then passed as input to containerized R tools in the [tool-runner framework](<https://github.com/hydrocode-de/tool-runner>). A template for a containerized R tool, which can be used as a basis for developing new tools, is available at the following URL: <https://github.com/VForWaTer/tool_template_r>.
License: GPL-3
URL: https://github.com/VForWaTer/json2aRgs
BugReports: https://github.com/VForWaTer/json2aRgs/issues
Depends: R (>= 3.6.0)
Imports: jsonlite, yaml, tools
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-11-24 12:16:32 UTC; alexander
Author: Alexander Dolich [cre, aut], Mirko Maelicke [aut]
Maintainer: Alexander Dolich <alexander.dolich@kit.edu>
Repository: CRAN
Date/Publication: 2022-11-25 12:30:02 UTC

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New package jackstraw with initial version 1.3.8
Package: jackstraw
Title: Statistical Inference for Unsupervised Learning
Version: 1.3.8
Author: Neo Christopher Chung <nchchung@gmail.com>, John D. Storey <jstorey@princeton.edu>, Wei Hao <whao@princeton.edu>, Alejandro Ochoa <alejandro.ochoa@duke.edu>
Maintainer: Neo Christopher Chung <nchchung@gmail.com>
Description: Test for association between the observed data and their estimated latent variables. The jackstraw package provides a resampling strategy and testing scheme to estimate statistical significance of association between the observed data and their latent variables. Depending on the data type and the analysis aim, the latent variables may be estimated by principal component analysis (PCA), factor analysis (FA), K-means clustering, and related algorithms. The jackstraw methods learn over-fitting characteristics inherent in this circular analysis, where the observed data are used to estimate the latent variables and used again to test against that estimated latent variables. When latent variables are estimated by PCA, the jackstraw enables statistical testing for association between observed variables and latent variables, as estimated by low-dimensional principal components (PCs). This essentially leads to identifying variables that are significantly associated with PCs. Similarly, unsuperv [...truncated...]
LazyData: true
Depends: R (>= 3.0.0)
Imports: methods, stats, qvalue, corpcor, irlba, rsvd, ClusterR, cluster
Suggests: testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-25 09:36:01 UTC; ncc
Repository: CRAN
Date/Publication: 2022-11-25 12:10:02 UTC

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New package invertiforms with initial version 0.1.1
Package: invertiforms
Title: Invertible Transforms for Matrices
Version: 0.1.1
Description: Provides composable invertible transforms for (sparse) matrices.
License: MIT + file LICENSE
URL: https://rohelab.github.io/invertiforms/, https://github.com/RoheLab/invertiforms
BugReports: https://github.com/RoheLab/invertiforms/issues
Depends: Matrix, methods
Imports: sparseLRMatrix (>= 0.1.0), glue
Suggests: covr, testthat (>= 3.0.0), igraph, igraphdata
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-12 22:09:18 UTC; alex
Author: Alex Hayes [aut, cre, cph]
Maintainer: Alex Hayes <alexpghayes@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-25 12:40:10 UTC

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New package GenWin with initial version 1.0
Package: GenWin
Title: Spline Based Window Boundaries for Genomic Analyses
Version: 1.0
Date: 2022-11-25
Author: Timothy M. Beissinger <timbeissinger@gmail.com>
Maintainer: Timothy M. Beissinger <timbeissinger@gmail.com>
Description: Defines window or bin boundaries for the analysis of genomic data. Boundaries are based on the inflection points of a cubic smoothing spline fitted to the raw data. Along with defining boundaries, a technique to evaluate results obtained from unequally-sized windows is provided. Applications are particularly pertinent for, though not limited to, genome scans for selection based on variability between populations (e.g. using Wright's fixations index, Fst, which measures variability in subpopulations relative to the total population).
Depends: R (>= 3.1.1)
Imports: pspline, stats, graphics
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: true
NeedsCompilation: no
Packaged: 2022-11-25 08:04:04 UTC; beissinger
Repository: CRAN
Date/Publication: 2022-11-25 12:20:02 UTC

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New package GAGAs with initial version 0.4.1
Package: GAGAs
Title: Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models
Version: 0.4.1
Language: en-US
Description: Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm. For more information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arXiv:1911.00658>.
License: GPL-2
URL: https://arxiv.org/abs/1911.00658
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: Rcpp (>= 1.0.9), survival
Suggests: mvtnorm
SystemRequirements: C++14
LinkingTo: Rcpp, RcppEigen
Maintainer: Bin Wang <eatingbeen@hotmail.com>
NeedsCompilation: yes
Packaged: 2022-11-25 00:11:37 UTC; Administrator
Author: Bin Wang [aut, cre], Xiaofei Wang [ctb], Jianhua Guo [ths]
Repository: CRAN
Date/Publication: 2022-11-25 12:50:05 UTC

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Package drda updated to version 2.0.2 with previous version 2.0.1 dated 2022-07-08

Title: Dose-Response Data Analysis
Description: Fit logistic functions to observed dose-response continuous data and evaluate goodness-of-fit measures. See Malyutina A., Tang J., and Pessia A. (2021) <doi:10.1101/2021.06.07.447323>.
Author: Alberto Pessia [aut, cre] , Alina Malyutina [ctb]
Maintainer: Alberto Pessia <dev@albertopessia.com>

Diff between drda versions 2.0.1 dated 2022-07-08 and 2.0.2 dated 2022-11-25

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Package MeshAgreement updated to version 0.1.4 with previous version 0.1.2 dated 2022-11-16

Title: Agreement Measures for 3D Meshes
Description: Calculates distance-based and volume-overlap-based agreement measures for triangular 3D meshes. These include the Hausdorff distance, the average surface distance, the Dice similarity coefficient, and the Jaccard similarity coefficient as documented in Stockinger et al. (2021) <doi:10.1186/s13014-021-01965-5>. Overall agreement for a set of meshes is calculated as the aggregate agreement for all pairwise comparisons. Based on algorithms provided by the 'VCGLIB' <http://vcg.isti.cnr.it/vcglib/> and 'CGAL' <https://www.cgal.org/> libraries. Includes web-based graphical user interface.
Author: Daniel Wollschlaeger [aut, cre], Heiko Karle [aut]
Maintainer: Daniel Wollschlaeger <wollschlaeger@uni-mainz.de>

Diff between MeshAgreement versions 0.1.2 dated 2022-11-16 and 0.1.4 dated 2022-11-25

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Package DImodels updated to version 1.2 with previous version 1.1 dated 2021-06-24

Title: Diversity-Interactions (DI) Models
Description: The 'DImodels' package is suitable for analysing data from biodiversity and ecosystem function studies using the Diversity-Interactions (DI) modelling approach introduced by Kirwan et al. (2009) <doi:10.1890/08-1684.1>. Suitable data will contain proportions for each species and a community-level response variable, and may also include additional factors, such as blocks or treatments. The package can perform data manipulation tasks, such as computing pairwise interactions (the DI_data() function), can perform an automated model selection process (the autoDI() function) and has the flexibility to fit a wide range of user-defined DI models (the DI() function).
Author: Rafael de Andrade Moral [aut, cre], John Connolly [aut], Rishabh Vishwakarma [ctb], Caroline Brophy [aut]
Maintainer: Rafael de Andrade Moral <rafael.deandrademoral@mu.ie>

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More information about DImodels at CRAN
Permanent link

Package biometryassist updated to version 1.1.2 with previous version 1.1.1 dated 2022-10-27

Title: Functions to Assist Design and Analysis of Agronomic Experiments
Description: Provides functions to aid in the design and analysis of agronomic and agricultural experiments through easy access to documentation and helper functions, especially for users who are learning these concepts. While not required for most functionality, this package enhances the `asreml` package which provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased as 'asreml-R' from 'VSNi' <https://vsni.co.uk/>, who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>).
Author: Sharon Nielsen [aut], Sam Rogers [aut, cre], Annie Conway [aut], University of Adelaide [cph, fnd] , Grains Research and Development Corporation [cph, fnd]
Maintainer: Sam Rogers <biometrytraining@adelaide.edu.au>

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Permanent link

Package performance updated to version 0.10.1 with previous version 0.10.0 dated 2022-10-03

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [ctb] , Remi Theriault [ctb] , Martin Jullum [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between performance versions 0.10.0 dated 2022-10-03 and 0.10.1 dated 2022-11-25

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More information about performance at CRAN
Permanent link

Package AlphaHull3D updated to version 2.0.0 with previous version 1.1.0 dated 2022-10-24

Title: Alpha Hull Computation
Description: Computation of the alpha hull of a set of points in the 3D space, that is to say "something like the shape formed by these points". The alpha hull depends on a positive parameter alpha. When alpha goes to zero, the alpha hull degenerates to the set of points, while it is the convex hull of the set of points when alpha goes to infinity. Computations are performed by the 'CGAL' 'C++' library <https://www.cgal.org/>.
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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More information about AlphaHull3D at CRAN
Permanent link

Package install.load updated to version 1.2.4 with previous version 1.2.3 dated 2020-06-02

Title: Check, Install and Load CRAN & USGS GRAN Packages
Description: The function 'install_load' checks the local R library(ies) to see if the required package(s) is/are installed or not. If the package(s) is/are not installed, then the package(s) will be installed along with the required dependency(ies). This function pulls source or binary packages from the Rstudio-sponsored CRAN mirror and/or the USGS GRAN Repository. Lastly, the chosen package(s) is/are loaded. The function 'load_package' simply loads the provided packages. If this package does not fit your needs, then you may want to consider these other R packages: 'needs', 'easypackages', 'pacman', 'pak', 'anyLib', and/or 'librarian'.
Author: maloneypatr [aut, cre], Irucka Embry [aut, ctb]
Maintainer: Irucka Embry <iembry@ecoccs.com>

Diff between install.load versions 1.2.3 dated 2020-06-02 and 1.2.4 dated 2022-11-25

 DESCRIPTION         |   15 ++++++++-------
 MD5                 |   16 ++++++++--------
 NAMESPACE           |    5 +++--
 NEWS.md             |    5 +++++
 R/install.load.R    |    7 ++++---
 R/install_load.R    |    8 ++++----
 R/load_package.R    |    4 ++--
 man/install_load.Rd |    4 ++--
 man/load_package.Rd |    4 ++--
 9 files changed, 38 insertions(+), 30 deletions(-)

More information about install.load at CRAN
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Package BSPBSS updated to version 1.0.5 with previous version 1.0.4 dated 2022-10-01

Title: Bayesian Spatial Blind Source Separation
Description: Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, and constructs a Bayesian nonparametric prior by thresholding Gaussian processes. Details can be found in our paper: Wu et al. (2022+) "Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process" <doi:10.1080/01621459.2022.2123336>.
Author: Ben Wu [aut, cre], Ying Guo [aut], Jian Kang [aut]
Maintainer: Ben Wu <wuben@ruc.edu.cn>

Diff between BSPBSS versions 1.0.4 dated 2022-10-01 and 1.0.5 dated 2022-11-25

 DESCRIPTION                   |   11 ++---
 MD5                           |   18 ++++-----
 NAMESPACE                     |    1 
 R/init_bspbss.R               |   14 ++++---
 R/mcmc_bspbss.R               |   15 ++++++-
 build/vignette.rds            |binary
 inst/doc/BSPBSS-vignette.html |   82 +++++++++++++++++++++---------------------
 man/init_bspbss.Rd            |    7 ++-
 man/mcmc_bspbss.Rd            |   15 ++++++-
 src/Rcpp.cpp                  |    7 ++-
 10 files changed, 97 insertions(+), 73 deletions(-)

More information about BSPBSS at CRAN
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Package REREFACT (with last version 1.0) was removed from CRAN

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

2016-04-26 1.0

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Package DiffNet (with last version 1.0-0) was removed from CRAN

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

2017-02-28 1.0-0

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Package invertiforms (with last version 0.1.0) was removed from CRAN

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

2022-02-09 0.1.0

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Package conText (with last version 1.1.0) was removed from CRAN

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

2022-04-05 1.1.0

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Package QPmin (with last version 0.5-1) was removed from CRAN

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

2021-04-15 0.5-1

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Package xtreg2way (with last version 1.0.0) was removed from CRAN

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

2020-08-11 1.0.0

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Package vsp (with last version 0.1.0) was removed from CRAN

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

2022-02-10 0.1.0

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Package pulsar (with last version 0.3.8) was removed from CRAN

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

2022-08-27 0.3.8
2020-08-07 0.3.7

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