Wed, 29 Mar 2023

Package rstantools updated to version 2.3.1 with previous version 2.3.0 dated 2023-03-09

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut, cre], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Trustees of Columbia University [cph]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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Package pm3 updated to version 0.1.5 with previous version 0.1.4 dated 2023-03-14

Title: Propensity Score Matching for Unordered 3-Group Data
Description: You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.
Author: Qiang LIU [aut, cre]
Maintainer: Qiang LIU <dege857@163.com>

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Package LRTesteR updated to version 1.0.2 with previous version 1.0.1 dated 2022-09-17

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

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Package GAGAs updated to version 0.6.1 with previous version 0.5.1 dated 2022-12-08

Title: Global Adaptive Generative Adjustment Algorithm for Generalized Linear Models
Description: Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm. For more detailed information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arXiv:1911.00658>. This paper provides the theoretical properties of Gaga linear model when the load matrix is orthogonal. Further study is going on for the nonorthogonal cases and generalized linear models. These works are in part supported by the National Natural Foundation of China (No.12171076).
Author: Bin Wang [aut, cre], Xiaofei Wang [ctb], Jianhua Guo [ths]
Maintainer: Bin Wang <eatingbeen@hotmail.com>

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Package rgeedim updated to version 0.2.2 with previous version 0.2.1 dated 2023-02-14

Title: Search, Composite, and Download 'Google Earth Engine' Imagery with the 'Python' Module 'geedim'
Description: Search, composite, and download 'Google Earth Engine' imagery with 'reticulate' bindings for the 'Python' module 'geedim' by Dugal Harris. Read the 'geedim' documentation here: <https://geedim.readthedocs.io/>. Wrapper functions are provided to make it more convenient to use 'geedim' to download images larger than the 'Google Earth Engine' size limit <https://developers.google.com/earth-engine/apidocs/ee-image-getdownloadurl>. By default the "High Volume" API endpoint <https://developers.google.com/earth-engine/cloud/highvolume> is used to download data and this URL can be customized during initialization of the package.
Author: Andrew Brown [aut, cre], Dugal Harris [cph]
Maintainer: Andrew Brown <brown.andrewg@gmail.com>

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Package robustbase updated to version 0.95-1 with previous version 0.95-0 dated 2022-04-02

Title: Basic Robust Statistics
Description: "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [ctb] , Christophe Croux [ctb] , Valentin Todorov [aut] , Andreas Ruckstuhl [aut] , Matias Salibian-Barrera [aut] , Tobias Verbeke [ctb, fnd] , Manuel Koller [aut] , Eduardo L. T. Conceicao [aut] , Maria A [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package maotai updated to version 0.2.5 with previous version 0.2.4 dated 2022-02-03

Title: Tools for Matrix Algebra, Optimization and Inference
Description: Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisungyou@outlook.com>

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Package LDAandLDAS updated to version 1.1.0 with previous version 1.0.2 dated 2022-10-14

Title: Linkage Disequilibrium of Ancestry (LDA) and LDA Score (LDAS)
Description: Computation of linkage disequilibrium of ancestry (LDA) and linkage disequilibrium of ancestry score (LDAS). LDA calculates the pairwise linkage disequilibrium of ancestry between single nucleotide polymorphisms (SNPs). LDAS calculates the LDA score of SNPs. The methods are described in Barrie W, Yang Y, Attfield K E, et al (2022) <doi:10.1101/2022.09.23.509097>.
Author: Yaoling Yang [aut, cre] , Daniel Lawson [aut]
Maintainer: Yaoling Yang <yaoling.yang@bristol.ac.uk>

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Package gameR updated to version 0.0.5 with previous version 0.0.4 dated 2023-02-16

Title: Color Palettes Inspired by Video Games
Description: Palettes based on video games.
Author: Nathan Constantine-Cooke [aut, cre] , Hugh Warden [ctb]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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Package strawr updated to version 0.0.91 with previous version 0.0.9 dated 2021-09-13

Title: Fast Implementation of Reading/Dump for .hic Files
Description: API for fast data extraction for .hic files that provides programmatic access to the matrices. It doesn't store the pointer data for all the matrices, only the one queried, and currently we are only supporting matrices (not vectors).
Author: Neva Cherniavsky Durand [aut, cre], Muhammad Saad Shamim [aut], Aiden Lab [cph]
Maintainer: Neva Cherniavsky Durand <neva@broadinstitute.org>

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Package hmer updated to version 1.4.0 with previous version 1.2.0 dated 2022-11-08

Title: History Matching and Emulation Package
Description: A set of objects and functions for Bayes Linear emulation and history matching. Core functionality includes automated training of emulators to data, diagnostic functions to ensure suitability, and a variety of proposal methods for generating 'waves' of points. For details on the mathematical background, there are many papers available on the topic (see references attached to function help files); for details of the functions in this package, consult the manual or help files.
Author: Andrew Iskauskas [aut, cre] , TJ McKinley [aut]
Maintainer: Andrew Iskauskas <andrew.iskauskas@durham.ac.uk>

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Package DTAT updated to version 0.3-6 with previous version 0.3-5 dated 2023-03-10

Title: Dose Titration Algorithm Tuning
Description: Dose Titration Algorithm Tuning (DTAT) is a methodologic framework allowing dose individualization to be conceived as a continuous learning process that begins in early-phase clinical trials and continues throughout drug development, on into clinical practice. This package includes code that researchers may use to reproduce or extend key results of the DTAT research programme, plus tools for trialists to design and simulate a '3+3/PC' dose-finding study. Please see Norris (2017a) <doi:10.12688/f1000research.10624.3> and Norris (2017c) <doi:10.1101/240846>.
Author: David C. Norris [aut, cre]
Maintainer: David C. Norris <david@precisionmethods.guru>

Diff between DTAT versions 0.3-5 dated 2023-03-10 and 0.3-6 dated 2023-03-29

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Package tmbstan updated to version 1.0.9 with previous version 1.0.7 dated 2023-03-24

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package practicalSigni updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-17

Title: Practical Significance Ranking of Regressors
Description: Consider a possibly nonlinear nonparametric regression with p regressors. We provide evaluations by 13 methods to rank regressors by their practical significance or importance using various methods, including machine learning tools. Comprehensive methods are as follows. m6=Generalized partial correlation coefficient or GPCC by Vinod (2021)<doi:10.1007/s10614-021-10190-x> and Vinod (2022)<https://www.mdpi.com/1911-8074/15/1/32>. m7= a generalization of psychologists' effect size incorporating nonlinearity and many variables. m8= local linear partial (dy/dxi) using the 'np' package for kernel regressions. m9= partial (dy/dxi) using the 'NNS' package. m10= importance measure using the 'NNS' boost function. m11= Shapley Value measure of importance (cooperative game theory). m12 and m13= two versions of the random forest algorithm.
Author: Hrishikesh Vinod [aut, cre]
Maintainer: Hrishikesh Vinod <vinod@fordham.edu>

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Package nlmixr2lib updated to version 0.2.0 with previous version 0.1.0 dated 2022-10-31

Title: A Model Library for 'nlmixr2'
Description: A model library for 'nlmixr2'. The models include (and plan to include) pharmacokinetic, pharmacodynamic, and disease models used in pharmacometrics. Where applicable, references for each model are included in the meta-data for each individual model. The package also includes model composition and modification functions to make model updates easier.
Author: Richard Hooijmaijers [aut], Matthew Fidler [aut] , Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

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Package massiveGST updated to version 1.2.3 with previous version 1.0.1 dated 2022-06-10

Title: Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test
Description: Friendly implementation of the Mann-Whitney-Wilcoxon test for competitive gene set enrichment analysis.
Author: Stefano Maria Pagnotta [aut, cre, cph]
Maintainer: Stefano Maria Pagnotta <pagnotta@unisannio.it>

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Package extrafrail updated to version 1.4 with previous version 1.3 dated 2023-01-29

Title: Estimation and Additional Tools for Alternative Shared Frailty Models
Description: Provide estimation and data generation tools for some new multivariate frailty models. This version includes the gamma, inverse Gaussian, weighted Lindley and Birnbaum-Saunders as the distribution for the frailty terms. For the basal model, it is considered a parametric approach based on the Weibull and the piecewise exponential distributions and a semiparametric approach. For details, see Gallardo and Bourguignon (2022) <arXiv:2206.12973>.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut]
Maintainer: Diego Gallardo <diego.gallardo@uda.cl>

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Package EcoEnsemble updated to version 1.0.3 with previous version 1.0.2 dated 2023-03-17

Title: A General Framework for Combining Ecosystem Models
Description: Fit and sample from the ensemble model described in Spence et al (2018): "A general framework for combining ecosystem models"<https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12310>.
Author: Michael A. Spence [aut, cre] , James A. Martindale [aut] , Michael J. Thomson [aut]
Maintainer: Michael A. Spence <michael.spence@cefas.gov.uk>

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New package mmconvert with initial version 0.8
Package: mmconvert
Version: 0.8
Date: 2023-03-29
Title: Mouse Map Converter
Description: Convert mouse genome positions between the build 39 physical map and the genetic map of Cox et al. (2009) <doi:10.1534/genetics.109.105486>.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.12)
Suggests: testthat, devtools, roxygen2, qtl2
License: GPL-3
URL: https://github.com/rqtl/mmconvert
BugReports: https://github.com/rqtl/mmconvert/issues
LinkingTo: Rcpp
LazyData: true
Encoding: UTF-8
ByteCompile: true
NeedsCompilation: yes
Packaged: 2023-03-29 10:34:27 UTC; kbroman
Repository: CRAN
Date/Publication: 2023-03-29 15:30:03 UTC

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Package DChaos updated to version 0.1-7 with previous version 0.1-6 dated 2021-02-10

Title: Chaotic Time Series Analysis
Description: Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not.
Author: Julio E. Sandubete [aut, cre], Lorenzo Escot [aut]
Maintainer: Julio E. Sandubete <jsandube@ucm.es>

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New package bayclumpr with initial version 0.1.0
Package: bayclumpr
Title: Bayesian Analysis of Clumped Isotope Datasets
Version: 0.1.0
URL: https://bayclump.tripatilab.epss.ucla.edu/, https://tripati-lab.github.io/bayclumpr/
BugReports: https://github.com/Tripati-Lab/bayclumpr/issues
Description: Simulating synthetic clumped isotope dataset, fitting linear regression models under Bayesian and non-Bayesian frameworks, and generating temperature reconstructions for the same two approaches. Please note that models implemented in this package are described in Roman-Palacios et al. (2021) <doi:10.1002/essoar.10507995.1>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: parallel, loo, deming, IsoplotR, rstan, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-13 19:45:47 UTC; cristianroman
Author: Cristian Roman Palacios [aut, cre] , Hannah M. Carroll [aut] , Aradhna Tripati [aut]
Maintainer: Cristian Roman Palacios <cromanpa94@arizona.edu>
Repository: CRAN
Date/Publication: 2023-03-29 15:30:06 UTC

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Package satdad updated to version 1.1 with previous version 1.0 dated 2023-03-03

Title: Sensitivity Analysis Tools for Dependence and Asymptotic Dependence
Description: Tools for analyzing tail dependence in any sample or in particular theoretical models. The package uses only theoretical and non parametric methods, without inference. The primary goals of the package are to provide: (a)symmetric multivariate extreme value models in any dimension; theoretical and empirical indices to order tail dependence; theoretical and empirical graphical methods to visualize tail dependence.
Author: Cecile Mercadier [aut, cre]
Maintainer: Cecile Mercadier <mercadier@math.univ-lyon1.fr>

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Package ellipse updated to version 0.4.4 with previous version 0.4.3 dated 2022-05-31

Title: Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
Description: Contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996, <doi:10.2307/2684435>). There are also routines implementing the profile plots described in Bates and Watts (1988, <doi:10.1002/9780470316757>).
Author: Duncan Murdoch and E. D. Chow
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package whitebox updated to version 2.3.0 with previous version 2.2.0 dated 2022-10-27

Title: 'WhiteboxTools' R Frontend
Description: An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. [...truncated...]
Author: Qiusheng Wu [aut], Andrew Brown [ctb, cre]
Maintainer: Andrew Brown <brown.andrewg@gmail.com>

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 man/wbt_clip.Rd                                         |    3 
 man/wbt_clip_lidar_to_polygon.Rd                        |    3 
 man/wbt_clip_raster_to_polygon.Rd                       |    5 
 man/wbt_closing.Rd                                      |    3 
 man/wbt_clump.Rd                                        |    3 
 man/wbt_colourize_based_on_class.Rd                     |    3 
 man/wbt_colourize_based_on_point_returns.Rd             |    3 
 man/wbt_compactness_ratio.Rd                            |    3 
 man/wbt_conditional_evaluation.Rd                       |    5 
 man/wbt_conditioned_latin_hypercube.Rd                  |    3 
 man/wbt_conservative_smoothing_filter.Rd                |    3 
 man/wbt_construct_vector_tin.Rd                         |    3 
 man/wbt_contours_from_points.Rd                         |    3 
 man/wbt_contours_from_raster.Rd                         |    3 
 man/wbt_convert_nodata_to_zero.Rd                       |    3 
 man/wbt_convert_raster_format.Rd                        |    3 
 man/wbt_corner_detection.Rd                             |    3 
 man/wbt_correct_vignetting.Rd                           |    3 
 man/wbt_cos.Rd                                          |    3 
 man/wbt_cosh.Rd                                         |    3 
 man/wbt_cost_allocation.Rd                              |    3 
 man/wbt_cost_distance.Rd                                |    3 
 man/wbt_cost_pathway.Rd                                 |    3 
 man/wbt_count_if.Rd                                     |    3 
 man/wbt_create_colour_composite.Rd                      |    3 
 man/wbt_create_hexagonal_vector_grid.Rd                 |    3 
 man/wbt_create_plane.Rd                                 |    3 
 man/wbt_create_rectangular_vector_grid.Rd               |    3 
 man/wbt_crispness_index.Rd                              |    3 
 man/wbt_cross_tabulation.Rd                             |    3 
 man/wbt_csv_points_to_vector.Rd                         |    3 
 man/wbt_cumulative_distribution.Rd                      |    3 
 man/wbt_curvedness.Rd                                   |    3 
 man/wbt_d8_flow_accumulation.Rd                         |    3 
 man/wbt_d8_mass_flux.Rd                                 |    3 
 man/wbt_d8_pointer.Rd                                   |    3 
 man/wbt_d_inf_flow_accumulation.Rd                      |    3 
 man/wbt_d_inf_mass_flux.Rd                              |    3 
 man/wbt_d_inf_pointer.Rd                                |    3 
 man/wbt_dbscan.Rd                                       |    3 
 man/wbt_decrement.Rd                                    |    3 
 man/wbt_dem_void_filling.Rd                             |only
 man/wbt_depth_in_sink.Rd                                |    3 
 man/wbt_depth_to_water.Rd                               |    3 
 man/wbt_dev_from_mean_elev.Rd                           |    3 
 man/wbt_diff_from_mean_elev.Rd                          |    3 
 man/wbt_diff_of_gaussian_filter.Rd                      |    3 
 man/wbt_difference.Rd                                   |    3 
 man/wbt_difference_curvature.Rd                         |    3 
 man/wbt_direct_decorrelation_stretch.Rd                 |    3 
 man/wbt_directional_relief.Rd                           |    3 
 man/wbt_dissolve.Rd                                     |    3 
 man/wbt_distance_to_outlet.Rd                           |    3 
 man/wbt_diversity_filter.Rd                             |    3 
 man/wbt_divide.Rd                                       |    3 
 man/wbt_downslope_distance_to_stream.Rd                 |    3 
 man/wbt_downslope_flowpath_length.Rd                    |    3 
 man/wbt_downslope_index.Rd                              |    3 
 man/wbt_edge_contamination.Rd                           |    5 
 man/wbt_edge_density.Rd                                 |    3 
 man/wbt_edge_preserving_mean_filter.Rd                  |    3 
 man/wbt_edge_proportion.Rd                              |    3 
 man/wbt_elev_above_pit.Rd                               |    3 
 man/wbt_elev_percentile.Rd                              |    3 
 man/wbt_elev_relative_to_min_max.Rd                     |    3 
 man/wbt_elev_relative_to_watershed_min_max.Rd           |    3 
 man/wbt_elevation_above_stream.Rd                       |    3 
 man/wbt_elevation_above_stream_euclidean.Rd             |    3 
 man/wbt_eliminate_coincident_points.Rd                  |    3 
 man/wbt_elongation_ratio.Rd                             |    3 
 man/wbt_embankment_mapping.Rd                           |    3 
 man/wbt_emboss_filter.Rd                                |    3 
 man/wbt_equal_to.Rd                                     |    3 
 man/wbt_erase.Rd                                        |    3 
 man/wbt_erase_polygon_from_lidar.Rd                     |    3 
 man/wbt_erase_polygon_from_raster.Rd                    |    3 
 man/wbt_euclidean_allocation.Rd                         |    3 
 man/wbt_euclidean_distance.Rd                           |    3 
 man/wbt_evaluate_training_sites.Rd                      |    3 
 man/wbt_exp.Rd                                          |    3 
 man/wbt_exp2.Rd                                         |    3 
 man/wbt_export_table_to_csv.Rd                          |    3 
 man/wbt_exposure_towards_wind_flux.Rd                   |    5 
 man/wbt_extend_vector_lines.Rd                          |    3 
 man/wbt_extract_nodes.Rd                                |    3 
 man/wbt_extract_raster_values_at_points.Rd              |    3 
 man/wbt_extract_streams.Rd                              |    3 
 man/wbt_extract_valleys.Rd                              |    3 
 man/wbt_farthest_channel_head.Rd                        |    3 
 man/wbt_fast_almost_gaussian_filter.Rd                  |    3 
 man/wbt_fd8_flow_accumulation.Rd                        |    3 
 man/wbt_fd8_pointer.Rd                                  |    3 
 man/wbt_feature_preserving_smoothing.Rd                 |    3 
 man/wbt_fetch_analysis.Rd                               |    3 
 man/wbt_fill_burn.Rd                                    |    3 
 man/wbt_fill_depressions.Rd                             |    3 
 man/wbt_fill_depressions_planchon_and_darboux.Rd        |    3 
 man/wbt_fill_depressions_wang_and_liu.Rd                |    3 
 man/wbt_fill_missing_data.Rd                            |    3 
 man/wbt_fill_single_cell_pits.Rd                        |    3 
 man/wbt_filter_lidar.Rd                                 |    3 
 man/wbt_filter_lidar_classes.Rd                         |    3 
 man/wbt_filter_lidar_scan_angles.Rd                     |    3 
 man/wbt_filter_raster_features_by_area.Rd               |    3 
 man/wbt_find_flightline_edge_points.Rd                  |    3 
 man/wbt_find_lowest_or_highest_points.Rd                |    3 
 man/wbt_find_main_stem.Rd                               |    3 
 man/wbt_find_no_flow_cells.Rd                           |    3 
 man/wbt_find_parallel_flow.Rd                           |    3 
 man/wbt_find_patch_or_class_edge_cells.Rd               |    3 
 man/wbt_find_ridges.Rd                                  |    3 
 man/wbt_fix_dangling_arcs.Rd                            |    3 
 man/wbt_flatten_lakes.Rd                                |    3 
 man/wbt_flightline_overlap.Rd                           |    3 
 man/wbt_flip_image.Rd                                   |    3 
 man/wbt_flood_order.Rd                                  |    3 
 man/wbt_floor.Rd                                        |    3 
 man/wbt_flow_accumulation_full_workflow.Rd              |    3 
 man/wbt_flow_length_diff.Rd                             |    3 
 man/wbt_gamma_correction.Rd                             |    3 
 man/wbt_gaussian_contrast_stretch.Rd                    |    3 
 man/wbt_gaussian_curvature.Rd                           |    3 
 man/wbt_gaussian_filter.Rd                              |    3 
 man/wbt_gaussian_scale_space.Rd                         |    5 
 man/wbt_generalize_classified_raster.Rd                 |    3 
 man/wbt_generalize_with_similarity.Rd                   |    3 
 man/wbt_generating_function.Rd                          |    3 
 man/wbt_geomorphons.Rd                                  |    3 
 man/wbt_greater_than.Rd                                 |    3 
 man/wbt_hack_stream_order.Rd                            |    3 
 man/wbt_heat_map.Rd                                     |    5 
 man/wbt_height_above_ground.Rd                          |    5 
 man/wbt_help.Rd                                         |    7 
 man/wbt_high_pass_bilateral_filter.Rd                   |    3 
 man/wbt_high_pass_filter.Rd                             |    3 
 man/wbt_high_pass_median_filter.Rd                      |    3 
 man/wbt_highest_position.Rd                             |    3 
 man/wbt_hillshade.Rd                                    |    3 
 man/wbt_hillslopes.Rd                                   |    3 
 man/wbt_histogram_equalization.Rd                       |    3 
 man/wbt_histogram_matching.Rd                           |    3 
 man/wbt_histogram_matching_two_images.Rd                |    5 
 man/wbt_hole_proportion.Rd                              |    3 
 man/wbt_horizon_angle.Rd                                |    3 
 man/wbt_horizontal_excess_curvature.Rd                  |    3 
 man/wbt_horton_stream_order.Rd                          |    3 
 man/wbt_hydrologic_connectivity.Rd                      |    3 
 man/wbt_hypsometric_analysis.Rd                         |    3 
 man/wbt_hypsometrically_tinted_hillshade.Rd             |    3 
 man/wbt_idw_interpolation.Rd                            |    3 
 man/wbt_ihs_to_rgb.Rd                                   |    3 
 man/wbt_image_autocorrelation.Rd                        |    3 
 man/wbt_image_correlation.Rd                            |    3 
 man/wbt_image_correlation_neighbourhood_analysis.Rd     |    3 
 man/wbt_image_regression.Rd                             |    3 
 man/wbt_image_segmentation.Rd                           |    3 
 man/wbt_image_slider.Rd                                 |    3 
 man/wbt_image_stack_profile.Rd                          |    3 
 man/wbt_impoundment_size_index.Rd                       |    3 
 man/wbt_in_place_add.Rd                                 |    3 
 man/wbt_in_place_divide.Rd                              |    3 
 man/wbt_in_place_multiply.Rd                            |    3 
 man/wbt_in_place_subtract.Rd                            |    3 
 man/wbt_increment.Rd                                    |    3 
 man/wbt_individual_tree_detection.Rd                    |only
 man/wbt_init.Rd                                         |   36 
 man/wbt_insert_dams.Rd                                  |    3 
 man/wbt_install_wb_extension.Rd                         |only
 man/wbt_integer_division.Rd                             |    3 
 man/wbt_integral_image.Rd                               |    3 
 man/wbt_intersect.Rd                                    |    3 
 man/wbt_inverse_principal_component_analysis.Rd         |    3 
 man/wbt_is_no_data.Rd                                   |    3 
 man/wbt_isobasins.Rd                                    |    3 
 man/wbt_jenson_snap_pour_points.Rd                      |    3 
 man/wbt_join_tables.Rd                                  |    3 
 man/wbt_k_means_clustering.Rd                           |    3 
 man/wbt_k_nearest_mean_filter.Rd                        |    3 
 man/wbt_kappa_index.Rd                                  |    3 
 man/wbt_knn_classification.Rd                           |    3 
 man/wbt_knn_regression.Rd                               |    3 
 man/wbt_ks_test_for_normality.Rd                        |    3 
 man/wbt_laplacian_filter.Rd                             |    3 
 man/wbt_laplacian_of_gaussian_filter.Rd                 |    3 
 man/wbt_las_to_ascii.Rd                                 |    3 
 man/wbt_las_to_laz.Rd                                   |    3 
 man/wbt_las_to_multipoint_shapefile.Rd                  |    3 
 man/wbt_las_to_shapefile.Rd                             |    3 
 man/wbt_las_to_zlidar.Rd                                |    3 
 man/wbt_launch_wb_runner.Rd                             |only
 man/wbt_layer_footprint.Rd                              |    3 
 man/wbt_laz_to_las.Rd                                   |    3 
 man/wbt_lee_sigma_filter.Rd                             |    3 
 man/wbt_length_of_upstream_channels.Rd                  |    3 
 man/wbt_less_than.Rd                                    |    3 
 man/wbt_license.Rd                                      |    5 
 man/wbt_lidar_block_maximum.Rd                          |    3 
 man/wbt_lidar_block_minimum.Rd                          |    3 
 man/wbt_lidar_classify_subset.Rd                        |    3 
 man/wbt_lidar_colourize.Rd                              |    3 
 man/wbt_lidar_contour.Rd                                |    6 
 man/wbt_lidar_digital_surface_model.Rd                  |    3 
 man/wbt_lidar_eigenvalue_features.Rd                    |    3 
 man/wbt_lidar_elevation_slice.Rd                        |    3 
 man/wbt_lidar_ground_point_filter.Rd                    |    3 
 man/wbt_lidar_hex_binning.Rd                            |    3 
 man/wbt_lidar_hillshade.Rd                              |    3 
 man/wbt_lidar_histogram.Rd                              |    3 
 man/wbt_lidar_idw_interpolation.Rd                      |    3 
 man/wbt_lidar_info.Rd                                   |    3 
 man/wbt_lidar_join.Rd                                   |    3 
 man/wbt_lidar_kappa_index.Rd                            |    3 
 man/wbt_lidar_nearest_neighbour_gridding.Rd             |    5 
 man/wbt_lidar_point_density.Rd                          |    3 
 man/wbt_lidar_point_return_analysis.Rd                  |    3 
 man/wbt_lidar_point_stats.Rd                            |    3 
 man/wbt_lidar_ransac_planes.Rd                          |    3 
 man/wbt_lidar_rbf_interpolation.Rd                      |    3 
 man/wbt_lidar_remove_duplicates.Rd                      |    3 
 man/wbt_lidar_remove_outliers.Rd                        |    3 
 man/wbt_lidar_rooftop_analysis.Rd                       |    3 
 man/wbt_lidar_segmentation.Rd                           |    3 
 man/wbt_lidar_segmentation_based_filter.Rd              |    3 
 man/wbt_lidar_shift.Rd                                  |    3 
 man/wbt_lidar_sibson_interpolation.Rd                   |    3 
 man/wbt_lidar_sort_by_time.Rd                           |    3 
 man/wbt_lidar_thin.Rd                                   |    3 
 man/wbt_lidar_thin_high_density.Rd                      |    3 
 man/wbt_lidar_tile.Rd                                   |    3 
 man/wbt_lidar_tile_footprint.Rd                         |    3 
 man/wbt_lidar_tin_gridding.Rd                           |    3 
 man/wbt_lidar_tophat_transform.Rd                       |    3 
 man/wbt_line_detection_filter.Rd                        |    3 
 man/wbt_line_intersections.Rd                           |    3 
 man/wbt_line_thinning.Rd                                |    3 
 man/wbt_linearity_index.Rd                              |    3 
 man/wbt_lines_to_polygons.Rd                            |    3 
 man/wbt_list_tools.Rd                                   |    5 
 man/wbt_list_unique_values.Rd                           |    5 
 man/wbt_list_unique_values_raster.Rd                    |only
 man/wbt_ln.Rd                                           |    3 
 man/wbt_local_hypsometric_analysis.Rd                   |    3 
 man/wbt_local_quadratic_regression.Rd                   |    5 
 man/wbt_log10.Rd                                        |    3 
 man/wbt_log2.Rd                                         |    3 
 man/wbt_logistic_regression.Rd                          |    3 
 man/wbt_long_profile.Rd                                 |    3 
 man/wbt_long_profile_from_points.Rd                     |    3 
 man/wbt_longest_flowpath.Rd                             |    3 
 man/wbt_low_points_on_headwater_divides.Rd              |    3 
 man/wbt_lowest_position.Rd                              |    3 
 man/wbt_majority_filter.Rd                              |    3 
 man/wbt_map_off_terrain_objects.Rd                      |    3 
 man/wbt_max.Rd                                          |    3 
 man/wbt_max_absolute_overlay.Rd                         |    3 
 man/wbt_max_anisotropy_dev.Rd                           |    3 
 man/wbt_max_anisotropy_dev_signature.Rd                 |    3 
 man/wbt_max_branch_length.Rd                            |    3 
 man/wbt_max_difference_from_mean.Rd                     |    3 
 man/wbt_max_downslope_elev_change.Rd                    |    3 
 man/wbt_max_elev_dev_signature.Rd                       |    3 
 man/wbt_max_elevation_deviation.Rd                      |    3 
 man/wbt_max_overlay.Rd                                  |    3 
 man/wbt_max_upslope_elev_change.Rd                      |    3 
 man/wbt_max_upslope_flowpath_length.Rd                  |    3 
 man/wbt_max_upslope_value.Rd                            |    5 
 man/wbt_maximal_curvature.Rd                            |    3 
 man/wbt_maximum_filter.Rd                               |    3 
 man/wbt_md_inf_flow_accumulation.Rd                     |    3 
 man/wbt_mean_curvature.Rd                               |    3 
 man/wbt_mean_filter.Rd                                  |    3 
 man/wbt_median_filter.Rd                                |    3 
 man/wbt_medoid.Rd                                       |    3 
 man/wbt_merge_line_segments.Rd                          |    3 
 man/wbt_merge_table_with_csv.Rd                         |    3 
 man/wbt_merge_vectors.Rd                                |    3 
 man/wbt_min.Rd                                          |    3 
 man/wbt_min_absolute_overlay.Rd                         |    3 
 man/wbt_min_dist_classification.Rd                      |    3 
 man/wbt_min_downslope_elev_change.Rd                    |    3 
 man/wbt_min_max_contrast_stretch.Rd                     |    3 
 man/wbt_min_overlay.Rd                                  |    3 
 man/wbt_minimal_curvature.Rd                            |    3 
 man/wbt_minimum_bounding_box.Rd                         |    3 
 man/wbt_minimum_bounding_circle.Rd                      |    3 
 man/wbt_minimum_bounding_envelope.Rd                    |    3 
 man/wbt_minimum_convex_hull.Rd                          |    3 
 man/wbt_minimum_filter.Rd                               |    3 
 man/wbt_modified_k_means_clustering.Rd                  |    3 
 man/wbt_modify_lidar.Rd                                 |    3 
 man/wbt_modify_no_data_value.Rd                         |    5 
 man/wbt_modulo.Rd                                       |    3 
 man/wbt_mosaic.Rd                                       |    3 
 man/wbt_mosaic_with_feathering.Rd                       |    3 
 man/wbt_multi_part_to_single_part.Rd                    |    3 
 man/wbt_multidirectional_hillshade.Rd                   |    3 
 man/wbt_multiply.Rd                                     |    3 
 man/wbt_multiply_overlay.Rd                             |    3 
 man/wbt_multiscale_curvatures.Rd                        |only
 man/wbt_multiscale_elevation_percentile.Rd              |    3 
 man/wbt_multiscale_roughness.Rd                         |    3 
 man/wbt_multiscale_roughness_signature.Rd               |    3 
 man/wbt_multiscale_std_dev_normals.Rd                   |    3 
 man/wbt_multiscale_std_dev_normals_signature.Rd         |    3 
 man/wbt_multiscale_topographic_position_image.Rd        |    6 
 man/wbt_narrowness_index.Rd                             |    3 
 man/wbt_natural_neighbour_interpolation.Rd              |    3 
 man/wbt_nearest_neighbour_gridding.Rd                   |    3 
 man/wbt_negate.Rd                                       |    3 
 man/wbt_new_raster_from_base.Rd                         |    3 
 man/wbt_normal_vectors.Rd                               |    3 
 man/wbt_normalize_lidar.Rd                              |only
 man/wbt_normalized_difference_index.Rd                  |    3 
 man/wbt_not.Rd                                          |    3 
 man/wbt_not_equal_to.Rd                                 |    3 
 man/wbt_num_downslope_neighbours.Rd                     |    3 
 man/wbt_num_inflowing_neighbours.Rd                     |    3 
 man/wbt_num_upslope_neighbours.Rd                       |    3 
 man/wbt_olympic_filter.Rd                               |    3 
 man/wbt_opening.Rd                                      |    3 
 man/wbt_openness.Rd                                     |    3 
 man/wbt_or.Rd                                           |    3 
 man/wbt_paired_sample_t_test.Rd                         |    3 
 man/wbt_panchromatic_sharpening.Rd                      |    3 
 man/wbt_parallelepiped_classification.Rd                |    3 
 man/wbt_patch_orientation.Rd                            |    3 
 man/wbt_pennock_landform_class.Rd                       |    3 
 man/wbt_percent_elev_range.Rd                           |    3 
 man/wbt_percent_equal_to.Rd                             |    3 
 man/wbt_percent_greater_than.Rd                         |    3 
 man/wbt_percent_less_than.Rd                            |    3 
 man/wbt_percentage_contrast_stretch.Rd                  |    3 
 man/wbt_percentile_filter.Rd                            |    3 
 man/wbt_perimeter_area_ratio.Rd                         |    3 
 man/wbt_phi_coefficient.Rd                              |    3 
 man/wbt_pick_from_list.Rd                               |    3 
 man/wbt_piecewise_contrast_stretch.Rd                   |    3 
 man/wbt_plan_curvature.Rd                               |    3 
 man/wbt_polygon_area.Rd                                 |    3 
 man/wbt_polygon_long_axis.Rd                            |    5 
 man/wbt_polygon_perimeter.Rd                            |    3 
 man/wbt_polygon_short_axis.Rd                           |    5 
 man/wbt_polygonize.Rd                                   |    3 
 man/wbt_polygons_to_lines.Rd                            |    3 
 man/wbt_power.Rd                                        |    3 
 man/wbt_prewitt_filter.Rd                               |    3 
 man/wbt_principal_component_analysis.Rd                 |    3 
 man/wbt_print_geo_tiff_tags.Rd                          |    3 
 man/wbt_profile.Rd                                      |    3 
 man/wbt_profile_curvature.Rd                            |    3 
 man/wbt_qin_flow_accumulation.Rd                        |    5 
 man/wbt_quantiles.Rd                                    |    3 
 man/wbt_quinn_flow_accumulation.Rd                      |    5 
 man/wbt_radial_basis_function_interpolation.Rd          |    3 
 man/wbt_radius_of_gyration.Rd                           |    3 
 man/wbt_raise_walls.Rd                                  |    3 
 man/wbt_random_field.Rd                                 |    3 
 man/wbt_random_forest_classification.Rd                 |    3 
 man/wbt_random_forest_regression.Rd                     |    3 
 man/wbt_random_sample.Rd                                |    3 
 man/wbt_range_filter.Rd                                 |    3 
 man/wbt_raster_area.Rd                                  |    3 
 man/wbt_raster_calculator.Rd                            |    5 
 man/wbt_raster_cell_assignment.Rd                       |    3 
 man/wbt_raster_histogram.Rd                             |    3 
 man/wbt_raster_perimeter.Rd                             |    3 
 man/wbt_raster_streams_to_vector.Rd                     |    3 
 man/wbt_raster_summary_stats.Rd                         |    3 
 man/wbt_raster_to_vector_lines.Rd                       |    3 
 man/wbt_raster_to_vector_points.Rd                      |    3 
 man/wbt_raster_to_vector_polygons.Rd                    |    3 
 man/wbt_rasterize_streams.Rd                            |    3 
 man/wbt_reciprocal.Rd                                   |    3 
 man/wbt_reclass.Rd                                      |    3 
 man/wbt_reclass_equal_interval.Rd                       |    3 
 man/wbt_reclass_from_file.Rd                            |    3 
 man/wbt_reconcile_multiple_headers.Rd                   |    3 
 man/wbt_recover_flightline_info.Rd                      |    3 
 man/wbt_recreate_pass_lines.Rd                          |    3 
 man/wbt_reinitialize_attribute_table.Rd                 |    3 
 man/wbt_related_circumscribing_circle.Rd                |    3 
 man/wbt_relative_aspect.Rd                              |    3 
 man/wbt_relative_topographic_position.Rd                |    3 
 man/wbt_remove_field_edge_points.Rd                     |    3 
 man/wbt_remove_off_terrain_objects.Rd                   |    3 
 man/wbt_remove_polygon_holes.Rd                         |    3 
 man/wbt_remove_raster_polygon_holes.Rd                  |only
 man/wbt_remove_short_streams.Rd                         |    3 
 man/wbt_remove_spurs.Rd                                 |    3 
 man/wbt_repair_stream_vector_topology.Rd                |    3 
 man/wbt_resample.Rd                                     |    3 
 man/wbt_rescale_value_range.Rd                          |    3 
 man/wbt_rgb_to_ihs.Rd                                   |    3 
 man/wbt_rho8_flow_accumulation.Rd                       |    5 
 man/wbt_rho8_pointer.Rd                                 |    3 
 man/wbt_ring_curvature.Rd                               |    3 
 man/wbt_river_centerlines.Rd                            |only
 man/wbt_roberts_cross_filter.Rd                         |    3 
 man/wbt_root_mean_square_error.Rd                       |    3 
 man/wbt_rotor.Rd                                        |    3 
 man/wbt_round.Rd                                        |    3 
 man/wbt_ruggedness_index.Rd                             |    3 
 man/wbt_run_tool.Rd                                     |    3 
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Package macrosyntR updated to version 0.2.19 with previous version 0.2.14 dated 2023-01-18

Title: Draw Ordered Oxford Grids
Description: Use standard genomics file format (BED) and a table of orthologs to illustrate pair-wise synteny conservation at the genome-wide scale. Significantly conserved linkage groups are identified as described in Simakov et al. (2020) <doi:10.1038/s41559-020-1156-z> and displayed on an Oxford Grid (Edwards (1991) <doi:10.1111/j.1469-1809.1991.tb00394.x>). The package provides a function that uses a network-based greedy algorithm to find communities (Clauset et al. (2004) <doi:10.1103/PhysRevE.70.066111>) and so automatically order the chromosomes on the plot to improve interpretability.
Author: Sami El Hilali [aut, cre] , Richard Copley [aut]
Maintainer: Sami El Hilali <elhilali.sami@gmail.com>

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Package EMpeaksR updated to version 0.3.1 with previous version 0.3.0 dated 2023-03-07

Title: Conducting the Peak Fitting Based on the EM Algorithm
Description: The peak fitting of spectral data is performed by using the frame work of EM algorithm. We adapted the EM algorithm for the peak fitting of spectral data set by considering the weight of the intensity corresponding to the measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata, K., & Ando, Y. (2019, 2021 and 2023) <doi:10.1080/14686996.2019.1620123>, <doi:10.1080/27660400.2021.1899449> <doi:10.1080/27660400.2022.2159753>. The package efficiently estimates the parameters of Gaussian mixture model during iterative calculation between E-step and M-step, and the parameters are converged to a local optimal solution. This package can support the investigation of peak shift with two advantages: (1) a large amount of data can be processed at high speed; and (2) stable and automatic calculation can be easily performed.
Author: Tarojiro Matsumura [aut, cre]
Maintainer: Tarojiro Matsumura <matsumura-tarojiro@aist.go.jp>

Diff between EMpeaksR versions 0.3.0 dated 2023-03-07 and 0.3.1 dated 2023-03-29

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Package bayesnec updated to version 2.1.0.3 with previous version 2.1.0.2 dated 2023-02-20

Title: A Bayesian No-Effect- Concentration (NEC) Algorithm
Description: Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECX' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>. This package expands and supersedes an original version implemented in R2jags, see Fisher, Ricardo and Fox (2020)<doi:10.5281/ZENODO.3966864>.
Author: Rebecca Fisher [aut, cre], Diego Barneche [aut], Gerard Ricardo [aut], David Fox [aut]
Maintainer: Rebecca Fisher <r.fisher@aims.gov.au>

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Package TreeSearch updated to version 1.3.1 with previous version 1.3.0 dated 2023-02-20

Title: Phylogenetic Analysis with Discrete Character Data
Description: Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083> with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) <doi:10.1093/sysbio/syab099>, <doi:10.1093/sysbio/syab100>. Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, Successive Approximations (Farris, 1969) <doi:10.2307/2412182> and custom optimality criteria are implemented.
Author: Martin R. Smith [aut, cre, cph] , Martin Brazeau [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package peramo updated to version 0.1.2 with previous version 0.1.1 dated 2022-12-19

Title: Permutation Tests for Randomization Model
Description: Perform permutation-based hypothesis testing for randomized experiments as suggested in Ludbrook & Dudley (1998) <doi:10.2307/2685470> and Ernst (2004) <doi:10.1214/088342304000000396>, introduced in Pham et al. (2022) <doi:10.1016/j.chemosphere.2022.136736>.
Author: Duy Nghia Pham [aut, cre] , Inna M. Sokolova [ths]
Maintainer: Duy Nghia Pham <nghiapham@yandex.com>

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Package mbRes updated to version 0.1.7 with previous version 0.1.6 dated 2022-12-18

Title: Exploration of Multiple Biomarker Responses using Effect Size
Description: Summarize multiple biomarker responses of aquatic organisms to contaminants using Cliff’s delta, as described in Pham & Sokolova (2023) <doi:10.1002/ieam.4676>.
Author: Duy Nghia Pham [aut, cre] , Inna M. Sokolova [ths]
Maintainer: Duy Nghia Pham <nghiapham@yandex.com>

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Package iq updated to version 1.9.10 with previous version 1.9.9 dated 2023-02-27

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, and a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160). In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

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Package polmineR updated to version 0.8.8 with previous version 0.8.7 dated 2022-08-26

Title: Verbs and Nouns for Corpus Analysis
Description: Package for corpus analysis using the Corpus Workbench ('CWB', <https://cwb.sourceforge.io>) as an efficient back end for indexing and querying large corpora. The package offers functionality to flexibly create subcorpora and to carry out basic statistical operations (count, co-occurrences etc.). The original full text of documents can be reconstructed and inspected at any time. Beyond that, the package is intended to serve as an interface to packages implementing advanced statistical procedures. Respective data structures (document-term matrices, term-co-occurrence matrices etc.) can be created based on the indexed corpora.
Author: Andreas Blaette [aut, cre] , Christoph Leonhardt [ctb], Marius Bertram [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

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Package RTIGER updated to version 2.1.0 with previous version 1.99.0 dated 2022-03-28

Title: HMM-Based Model for Genotyping and Cross-Over Identification
Description: Our method integrates information from all sequenced samples, thus avoiding loss of alleles due to low coverage. Moreover, it increases the statistical power to uncover sequencing or alignment errors <doi:10.1093/plphys/kiad191>.
Author: Rafael Campos-Martin [cre] , Sophia Schmickler [aut], Manish Goel [ctb], Korbinian Schneeberger [aut], Achim Tresch [aut]
Maintainer: Rafael Campos-Martin <rfael.mpi@gmail.com>

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New package RCTrep with initial version 1.0.0
Package: RCTrep
Title: Validation of Estimates of Treatment Effects in Observational Data
Version: 1.0.0
Author: Lingjie Shen [aut, cre, cph], Gijs Geleijnse [aut], Maurits Kaptein [aut]
Maintainer: Lingjie Shen <602249910@qq.com>
Description: Validates estimates of (conditional) average treatment effects obtained using observational data by a) making it easy to obtain and visualize estimates derived using a large variety of methods (G-computation, inverse propensity score weighting, etc.), and b) ensuring that estimates are easily compared to a gold standard (i.e., estimates derived from randomized controlled trials). 'RCTrep' offers a generic protocol for treatment effect validation based on four simple steps, namely, set-selection, estimation, diagnosis, and validation. 'RCTrep' provides a simple dashboard to review the obtained results. The validation approach is introduced by Shen, L., Geleijnse, G. and Kaptein, M. (2023) <doi:10.21203/rs.3.rs-2559287/v1>.
License: MIT + file LICENSE
URL: https://github.com/duolajiang/RCTrep
Encoding: UTF-8
LazyData: true
Imports: mvtnorm, MASS, MatchIt, ggplot2, ggpubr, PSweight, numDeriv, R6, dplyr, geex, optmatch, BART, fastDummies, tidyr, copula, shiny, shinydashboard, glue, stats, utils, caret
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10), base
NeedsCompilation: no
Packaged: 2023-03-29 02:47:01 UTC; lsh1901.47873
Repository: CRAN
Date/Publication: 2023-03-29 08:10:02 UTC

More information about RCTrep at CRAN
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Package lumberjack updated to version 1.3.1 with previous version 1.2.1 dated 2021-05-26

Title: Track Changes in Data
Description: A framework that allows for easy logging of changes in data. Main features: start tracking changes by adding a single line of code to an existing script. Track changes in multiple datasets, using multiple loggers. Add custom-built loggers or use loggers offered by other packages. <doi:10.18637/jss.v098.i01>.
Author: Mark van der Loo [aut, cre] , Floris Ruijter [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package finbif updated to version 0.8.0 with previous version 0.7.2 dated 2023-02-06

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

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More information about finbif at CRAN
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Package coconots updated to version 1.1.1 with previous version 1.1 dated 2023-03-13

Title: Convolution-Closed Models for Count Time Series
Description: Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modeled via Poisson and Generalized Poisson innovations. Regression effects can be modelled via time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x>, Gneiting and Raftery (2007) <doi:10.1198/016214506000001437> and, Tsay (1992) <doi:10.2307/2347612>.
Author: Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>

Diff between coconots versions 1.1 dated 2023-03-13 and 1.1.1 dated 2023-03-29

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Package support.BWS updated to version 0.4-6 with previous version 0.4-5 dated 2023-01-09

Title: Tools for Case 1 Best-Worst Scaling
Description: Provides basic functions that support an implementation of object case (Case 1) best-worst scaling: a function for converting a two-level orthogonal main-effect design/balanced incomplete block design into questions; two functions for creating a data set suitable for analysis; a function for calculating count-based scores; a function for calculating shares of preference; and a function for generating artificial responses to questions. See Louviere et al. (2015) <doi:10.1017/CBO9781107337855> for details on best-worst scaling, and Aizaki and Fogarty (2023) <doi:10.1016/j.jocm.2022.100394> for the package.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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New package SIAmodules with initial version 0.1.0
Package: SIAmodules
Title: Modules for 'ShinyItemAnalysis'
Version: 0.1.0
Date: 2023-03-27
Description: Package including additional modules for interactive 'ShinyItemAnalysis' application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters.
License: GPL-3
URL: http://www.ShinyItemAnalysis.org
Depends: R (>= 3.5.0)
Imports: cli, difNLR, dplyr, DT, forcats, ggplot2, glue, lme4, magrittr, mirt, mirtCAT, plotly, purrr, rlang, scales, shiny, ShinyItemAnalysis, shinyjs, stringr, tibble, tidyr, yaml
Encoding: UTF-8
Config/ShinyItemAnalysis/module: true
NeedsCompilation: no
Packaged: 2023-03-28 20:42:04 UTC; Martinkova
Author: Patricia Martinkova [aut, cre] , Jan Netik [aut]
Maintainer: Patricia Martinkova <martinkova@cs.cas.cz>
Repository: CRAN
Date/Publication: 2023-03-29 08:00:05 UTC

More information about SIAmodules at CRAN
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New package PRANA with initial version 1.0.3
Package: PRANA
Title: Pseudo-Value Regression Approach for Network Analysis (PRANA)
Version: 1.0.3
Description: A novel pseudo-value regression approach for the differential co-expression network analysis in expression data, which can incorporate additional clinical variables in the model. This is a direct regression modeling for the differential network analysis, and it is therefore computationally amenable for the most users.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dnapath, dplyr, parallel, robustbase, stats, minet
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-28 21:23:41 UTC; seungjunahn
Author: Ahn Seungjun [cre, aut, trl] , Datta Somnath [ctb, ths]
Maintainer: Ahn Seungjun <sahn1@ufl.edu>
Repository: CRAN
Date/Publication: 2023-03-29 08:00:09 UTC

More information about PRANA at CRAN
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New package panelPomp with initial version 1.1
Package: panelPomp
Title: Inference for Panel Partially Observed Markov Processes
Version: 1.1
Date: 2023-03-28
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
License: GPL-3
Depends: R(>= 4.1.0), pomp(>= 4.5.2)
Imports: methods
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-28 17:43:13 UTC; cbreto
Author: Carles Breto [aut, cre] , Edward L. Ionides [aut] , Aaron A. King [aut]
Maintainer: Carles Breto <carles.breto@uv.es>
Repository: CRAN
Date/Publication: 2023-03-29 08:00:02 UTC

More information about panelPomp at CRAN
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Package gethr (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:

2019-01-08 0.1.0

Permanent link
Package prioritizr updated to version 8.0.0 with previous version 7.2.2 dated 2022-09-17

Title: Systematic Conservation Prioritization in R
Description: Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the 'gurobi' R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products [...truncated...]
Author: Jeffrey O Hanson [aut] , Richard Schuster [aut, cre] , Nina Morrell [aut], Matthew Strimas-Mackey [aut] , Brandon P M Edwards [aut] , Matthew E Watts [aut], Peter Arcese [aut] , Joseph Bennett [aut] , Hugh P Possingham [aut]
Maintainer: Richard Schuster <richard.schuster@glel.carleton.ca>

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More information about prioritizr at CRAN
Permanent link

Package ctrdata updated to version 1.12.1 with previous version 1.12.0 dated 2023-03-26

Title: Retrieve and Analyze Clinical Trials in Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from three public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>), the 'ISRCTN' (<http://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Functions are included to identify deduplicated records, to easily find and extract variables (fields) of interest even from complex nesting as used by the registers, and to update previous queries. The package can be used for meta-analysis and trend-analysis of the design and conduct as well as for results of clinical trials.
Author: Ralf Herold [aut, cre]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.12.0 dated 2023-03-26 and 1.12.1 dated 2023-03-29

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More information about ctrdata at CRAN
Permanent link


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