Tue, 11 Apr 2023

Package lavaSearch2 updated to version 2.0.1 with previous version 1.5.6 dated 2020-07-31

Title: Tools for Model Specification in the Latent Variable Framework
Description: Tools for model specification in the latent variable framework (add-on to the 'lava' package). The package contains three main functionalities: Wald tests/F-tests with improved control of the type 1 error in small samples, adjustment for multiple comparisons when searching for local dependencies, and adjustment for multiple comparisons when doing inference for multiple latent variable models.
Author: Brice Ozenne [aut, cre]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between lavaSearch2 versions 1.5.6 dated 2020-07-31 and 2.0.1 dated 2023-04-11

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Package consort updated to version 1.2.0 with previous version 1.1.0 dated 2023-01-05

Title: Create Consort Diagram
Description: To make it easy to create CONSORT diagrams for the transparent reporting of participant allocation in randomized, controlled clinical trials. This is done by creating a standardized disposition data, and using this data as the source for the creation a standard CONSORT diagram. Human effort by supplying text labels on the node can also be achieved.
Author: Alim Dayim [aut, cre]
Maintainer: Alim Dayim <ad938@cam.ac.uk>

Diff between consort versions 1.1.0 dated 2023-01-05 and 1.2.0 dated 2023-04-11

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Package cjbart updated to version 0.3.0 with previous version 0.2.2 dated 2022-03-02

Title: Heterogeneous Effects Analysis of Conjoint Experiments
Description: A tool for analyzing conjoint experiments using Bayesian Additive Regression Trees ('BART'), a machine learning method developed by Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285>. This tool focuses specifically on estimating, identifying, and visualizing the heterogeneity within marginal component effects, at the observation- and individual-level. It uses a variable importance measure ('VIMP') with delete-d jackknife variance estimation, following Ishwaran and Lu (2019) <doi:10.1002/sim.7803>, to obtain bias-corrected estimates of which variables drive heterogeneity in the predicted individual-level effects.
Author: Thomas Robinson [aut, cre, cph] , Raymond Duch [aut, cph]
Maintainer: Thomas Robinson <ts.robinson1994@gmail.com>

Diff between cjbart versions 0.2.2 dated 2022-03-02 and 0.3.0 dated 2023-04-11

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Package volesti updated to version 1.1.2-6 with previous version 1.1.2-4 dated 2023-04-03

Title: Volume Approximation and Sampling of Convex Polytopes
Description: Provides an R interface for 'volesti' C++ package. 'volesti' computes estimations of volume of polytopes given by (i) a set of points, (ii) linear inequalities or (iii) Minkowski sum of segments (a.k.a. zonotopes). There are three algorithms for volume estimation as well as algorithms for sampling, rounding and rotating polytopes. Moreover, 'volesti' provides algorithms for estimating copulas useful in computational finance. Methods implemented in 'volesti' are described in A. Chalkis and V. Fisikopoulos (2022) <doi:10.32614/RJ-2021-077> and references therein.
Author: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com> [aut, cph, cre], Apostolos Chalkis <tolis.chal@gmail.com> [cph, aut], contributors in file inst/AUTHORS
Maintainer: Vissarion Fisikopoulos <vissarion.fisikopoulos@gmail.com>

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Package trendeval updated to version 0.1.0 with previous version 0.0.1 dated 2020-11-20

Title: Evaluate Trending Models
Description: Provides a coherent interface for evaluating models fit with the trending package. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Dirk Schumacher [aut], Thibaut Jombart [aut, cre], Tim Taylor [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>

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Package pwrss updated to version 0.3.1 with previous version 0.3.0 dated 2023-03-12

Title: Statistical Power and Sample Size Calculation Tools
Description: Statistical power and minimum required sample size calculations for (1) testing a proportion (one-sample) against a constant, (2) testing a mean (one-sample) against a constant, (3) testing difference between two proportions (independent samples), (4) testing difference between two means or groups (parametric and non-parametric tests for independent and paired samples), (5) testing a correlation (one-sample) against a constant, (6) testing difference between two correlations (independent samples), (7) testing a single coefficient in multiple linear regression, logistic regression, and Poisson regression (with standardized or unstandardized coefficients, with no covariates or covariate adjusted), (8) testing an indirect effect (with standardized or unstandardized coefficients, with no covariates or covariate adjusted) in the mediation analysis (Sobel, Joint, and Monte Carlo tests), (9) testing an R-squared against zero in linear regression, (10) testing an R-squared difference agai [...truncated...]
Author: Metin Bulus [aut, cre]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package PriceIndices updated to version 0.1.7 with previous version 0.1.6 dated 2023-03-17

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

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Package NNS updated to version 0.9.7 with previous version 0.9.6 dated 2023-03-08

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization and Stochastic dominance. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

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Package forstringr updated to version 0.1.1 with previous version 0.0.1 dated 2023-02-27

Title: String Manipulation Package for Those Familiar with 'Microsoft Excel'
Description: The goal of 'forstringr' is to enable complex string manipulation in R especially to those more familiar with LEFT(), RIGHT(), and MID() functions in Microsoft Excel. The package combines the power of 'stringr' with other manipulation packages such as 'dplyr' and 'tidyr'.
Author: Ezekiel Ogundepo [aut, cre] , Olubukunola Oyedele [ctb], Fatimo Adebanjo [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>

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Package bcmaps updated to version 1.2.0 with previous version 1.1.0 dated 2023-01-06

Title: Map Layers and Spatial Utilities for British Columbia
Description: Various layers of B.C., including administrative boundaries, natural resource management boundaries, census boundaries etc. All layers are available in BC Albers (<https://spatialreference.org/ref/epsg/nad83-bc-albers/>) equal-area projection, which is the B.C. government standard. The layers are sourced from the British Columbia and Canadian government under open licenses, including B.C. Data Catalogue (<https://data.gov.bc.ca>), the Government of Canada Open Data Portal (<https://open.canada.ca/en/open-data>), and Statistics Canada (<https://www.statcan.gc.ca/en/reference/licence>).
Author: Andy Teucher [aut, cre] , Sam Albers [aut, ctb] , Stephanie Hazlitt [aut, ctb] , Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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Package T4transport updated to version 0.1.2 with previous version 0.1.1 dated 2022-09-03

Title: Tools for Computational Optimal Transport
Description: Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal transport.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisungyou@outlook.com>

Diff between T4transport versions 0.1.1 dated 2022-09-03 and 0.1.2 dated 2023-04-11

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Package idcnrba updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-24

Title: Interactive Application for Analyzing Representativeness and Nonresponse Bias
Description: Provides access to the Idea Data Center (IDC) application for conducting nonresponse bias analysis (NRBA). The IDC NRBA app is an interactive, browser-based Shiny application that can be used to analyze survey data with respect to response rates, representativeness, and nonresponse bias. This app provides a user-friendly interface to statistical methods implemented by the 'nrba' package. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview of the statistical methods implemented in the application.
Author: Ben Schneider [aut, cre] , Tamara Nimkoff [aut], Anthony Fucci [aut], Andy Cruse [aut], Alexander Cates [aut], Jim Green [aut], Westat [cph]
Maintainer: Ben Schneider <BenjaminSchneider@westat.com>

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New package hclust1d with initial version 0.0.1
Package: hclust1d
Title: Hierarchical Clustering of Univariate (1d) Data
Version: 0.0.1
Description: A suit of algorithms for univariate agglomerative hierarchical clustering (with a few possible choices of a linkage function) in O(n*log n) time. The better algorithmic time complexity is paired with an efficient 'C++' implementation.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, testthat (>= 3.0.0)
URL: https://github.com/SzymonNowakowski/hclust1d
BugReports: https://github.com/SzymonNowakowski/hclust1d/issues
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2023-04-10 18:54:38 UTC; Szym
Author: Szymon Nowakowski [aut, cre]
Maintainer: Szymon Nowakowski <s.nowakowski@mimuw.edu.pl>
Repository: CRAN
Date/Publication: 2023-04-11 19:10:02 UTC

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New package dfsaneacc with initial version 1.0.0
Package: dfsaneacc
Title: Accelerated Derivative-Free Method for Large-Scale Nonlinear Systems of Equations
Version: 1.0.0
Date: 2023-03-30
Author: Ernesto G. Birgin [aut, ctb], John L. Gardenghi [aut, cre, ctb, trl], Diaulas S. Marcondes [aut, ctb, trl], Jose M. Martinez [aut, ctb]
Maintainer: John L. Gardenghi <john.gardenghi@unb.br>
NeedsCompilation: yes
Description: Secant acceleration applied to derivative-free Spectral Residual Methods for solving large-scale nonlinear systems of equations. The main references follows: W. La Cruz, J. M. Martinez, and M. Raydan (2006) <doi:10.1090/S0025-5718-06-01840-0>; E. G. Birgin and J. M. Martinez (2022) <doi:10.1137/20M1388024>.
License: GPL-3
Packaged: 2023-04-10 13:48:53 UTC; john
Repository: CRAN
Date/Publication: 2023-04-11 19:10:05 UTC

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Package panstarrs updated to version 0.2.0 with previous version 0.1.0 dated 2022-02-07

Title: Interface to the Pan-STARRS API
Description: An interface to the API for 'Pan-STARRS1', a data archive of the PS1 wide-field astronomical survey. The package allows access to the PS1 catalog and to the PS1 images. (see <https://outerspace.stsci.edu/display/PANSTARRS/> for more information). You can use it to plan astronomical observations, make guidance pictures, find magnitudes in five broadband filters (g, r, i, z, y) and more.
Author: Grigory Uskov [cre, aut]
Maintainer: Grigory Uskov <uskov.russia@gmail.com>

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Package labelled updated to version 2.11.0 with previous version 2.10.0 dated 2022-09-14

Title: Manipulating Labelled Data
Description: Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or 'foreign'. This package provides useful functions to deal with "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven' package.
Author: Joseph Larmarange [aut, cre] , Daniel Ludecke [ctb], Hadley Wickham [ctb], Michal Bojanowski [ctb], Francois Briatte [ctb]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package cgalMeshes updated to version 2.0.0 with previous version 1.0.0 dated 2022-11-09

Title: R6 Based Utilities for 3D Meshes using 'CGAL'
Description: Provides some utilities for 3D meshes: clipping of a mesh to the volume bounded by another mesh, decomposition into convex parts, distance between a mesh and a point, triangulation, geodesic distance, Boolean operations (intersection, union, difference), connected components, volume, area, and centroid. Also provides an algorithm for surface reconstruction from a cloud of points. Meshes are represented by R6 classes. All algorithms are performed by the 'C++' library 'CGAL' (<https://www.cgal.org/>).
Author: Stephane Laurent [aut, cre]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package rqPen updated to version 3.1.3 with previous version 3.1.2 dated 2023-03-28

Title: Penalized Quantile Regression
Description: Performs penalized quantile regression with LASSO, elastic net, SCAD and MCP penalty functions including group penalties. Provides a function that automatically generates lambdas and evaluates different models with cross validation or BIC, including a large p version of BIC. Below URL provides a link to a work in progress vignette.
Author: Ben Sherwood [aut, cre], Adam Maidman [ctb], Shaobo Li [ctb]
Maintainer: Ben Sherwood <ben.sherwood@ku.edu>

Diff between rqPen versions 3.1.2 dated 2023-03-28 and 3.1.3 dated 2023-04-11

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

Title: Tidy Tuning Tools
Description: The ability to tune models is important. 'tune' contains functions and classes to be used in conjunction with other 'tidymodels' packages for finding reasonable values of hyper-parameters in models, pre-processing methods, and post-processing steps.
Author: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

Diff between tune versions 1.1.0 dated 2023-04-04 and 1.1.1 dated 2023-04-11

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Package liver updated to version 1.14 with previous version 1.13 dated 2022-08-07

Title: "Eating the Liver of Data Science"
Description: Provides a collection of helper functions that make various techniques from data science more user-friendly for non-experts. In this way, our aim is to allow non-experts to become familiar with the techniques with only a minimal level of coding knowledge. Indeed, following an ancient Persian idiom, we refer to this as "eating the liver of data science" which could be interpreted as "getting intimately close with data science". Examples of procedures we include are: data partitioning for out-of-sample testing, computing Mean Squared Error (MSE) for quantifying prediction accuracy, and data transformation (z-score and min-max). Besides such helper functions, the package also includes several interesting datasets that are useful for multivariate analysis.
Author: Reza Mohammadi [aut, cre] , Kevin Burke [aut]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between liver versions 1.13 dated 2022-08-07 and 1.14 dated 2023-04-11

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Package cmfrec updated to version 3.5.1-1 with previous version 3.5.1 dated 2023-03-08

Title: Collective Matrix Factorization for Recommender Systems
Description: Collective matrix factorization (a.k.a. multi-view or multi-way factorization, Singh, Gordon, (2008) <doi:10.1145/1401890.1401969>) tries to approximate a (potentially very sparse or having many missing values) matrix 'X' as the product of two low-dimensional matrices, optionally aided with secondary information matrices about rows and/or columns of 'X', which are also factorized using the same latent components. The intended usage is for recommender systems, dimensionality reduction, and missing value imputation. Implements extensions of the original model (Cortes, (2018) <arXiv:1809.00366>) and can produce different factorizations such as the weighted 'implicit-feedback' model (Hu, Koren, Volinsky, (2008) <doi:10.1109/ICDM.2008.22>), the 'weighted-lambda-regularization' model, (Zhou, Wilkinson, Schreiber, Pan, (2008) <doi:10.1007/978-3-540-68880-8_32>), or the enhanced model with 'implicit features' (Rendle, Zhang, Koren, (2019) <arXiv:1905.01395>), with [...truncated...]
Author: David Cortes [aut, cre, cph], Jorge Nocedal [cph] , Naoaki Okazaki [cph] , David Blackman [cph] , Sebastiano Vigna [cph] , NumPy Developers [cph]
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package spNetwork updated to version 0.4.3.7 with previous version 0.4.3.6 dated 2022-11-11

Title: Spatial Analysis on Network
Description: Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
Author: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>

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Package nlstac updated to version 0.2.0 with previous version 0.1.0 dated 2020-10-29

Title: An R Package for Fitting Separable Nonlinear Models
Description: Set of functions implementing the algorithm described in Fernandez Torvisco et al. (2018) for fitting separable nonlinear regression curves. See Fernandez Torvisco, Rodriguez-Arias Fernandez and Cabello Sanchez (2018) <doi:10.2298/FIL1812233T>.
Author: Mariano Rodriguez-Arias <arias@unex.es>, Juan Antonio Fernandez <jfernandck@alumnos.unex.es>, Javier Cabello <coco@unex.es>, Rafael Benitez <rabesua@uv.es>
Maintainer: Rafael Benitez <rabesua@uv.es>

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Package ThresholdROC updated to version 2.9.1 with previous version 2.9.0 dated 2021-07-30

Title: Optimum Threshold Estimation
Description: Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
Author: Sara Perez-Jaume [aut, cre], Natalia Pallares [aut], Konstantina Skaltsa [aut]
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

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Package MDFS updated to version 1.5.1 with previous version 1.5.0 dated 2023-03-14

Title: MultiDimensional Feature Selection
Description: Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Author: Radoslaw Piliszek [aut, cre], Krzysztof Mnich [aut], Pawel Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sulecki [aut], Witold Remigiusz Rudnicki [aut]
Maintainer: Radoslaw Piliszek <r.piliszek@uwb.edu.pl>

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Package ggformula updated to version 0.10.4 with previous version 0.10.2 dated 2022-08-31

Title: Formula Interface to the Grammar of Graphics
Description: Provides a formula interface to 'ggplot2' graphics.
Author: Daniel Kaplan [aut], Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@calvin.edu>

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Package Cyclops updated to version 3.3.1 with previous version 3.3.0 dated 2023-04-05

Title: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis
Description: This model fitting tool incorporates cyclic coordinate descent and majorization-minimization approaches to fit a variety of regression models found in large-scale observational healthcare data. Implementations focus on computational optimization and fine-scale parallelization to yield efficient inference in massive datasets. Please see: Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.
Author: Marc A. Suchard [aut, cre], Martijn J. Schuemie [aut], Trevor R. Shaddox [aut], Yuxi Tian [aut], Jianxiao Yang [aut], Eric Kawaguchi [aut], Sushil Mittal [ctb], Observational Health Data Sciences and Informatics [cph], Marcus Geelnard [cph, ctb] , Ru [...truncated...]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package xefun updated to version 0.1.4 with previous version 0.1.3 dated 2022-12-24

Title: X-Engineering or Supporting Functions
Description: Miscellaneous functions used for x-engineering (feature engineering) or for supporting in other packages maintained by 'Shichen Xie'.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

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Package voluModel updated to version 0.2.0 with previous version 0.1.9 dated 2023-01-18

Title: Modeling Species Distributions in Three Dimensions
Description: Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.
Author: Hannah L. Owens [aut, cre] , Carsten Rahbek [aut]
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

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Package vivid updated to version 0.2.7 with previous version 0.2.6 dated 2023-04-05

Title: Variable Importance and Variable Interaction Displays
Description: A suite of plots for displaying variable importance and two-way variable interaction jointly. Can also display partial dependence plots laid out in a pairs plot or 'zenplots' style.
Author: Alan Inglis [aut, cre], Andrew Parnell [aut], Catherine Hurley [aut]
Maintainer: Alan Inglis <alan.n.inglis@gmail.com>

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Package vapour updated to version 0.9.5 with previous version 0.9.3 dated 2023-01-06

Title: Access to the 'Geospatial Data Abstraction Library' ('GDAL')
Description: Provides low-level access to 'GDAL' functionality. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>. This package is focussed on providing exactly and only what GDAL does, to enable developing further tools.
Author: Michael Sumner [aut, cre] , Simon Wotherspoon [ctb] , Mark Padgham [ctb] ), Edzer Pebesma [ctb] , Roger Bivand [ctb] , Jim Hester [ctb, cph] , Timothy Keitt [ctb] , Jeroen Ooms [ctb] , Dale Maschette [ctb] , Joseph Stachelek [ctb], Even Rouault [ctb] [...truncated...]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package nhstplot updated to version 1.2.0 with previous version 1.1.0 dated 2020-04-14

Title: Plot Null Hypothesis Significance Tests
Description: Illustrate graphically the most common Null Hypothesis Significance Testing procedures. More specifically, this package provides functions to plot Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests, by plotting the probability density under the null hypothesis as a function of the different test statistic values. Although highly flexible (color theme, fonts, etc.), only the minimal number of arguments (observed test statistic, degrees of freedom) are necessary for a clear and useful graph to be plotted, with the observed test statistic and the p value, as well as their corresponding value labels. The axes are automatically scaled to present the relevant part and the overall shape of the probability density function. This package is especially intended for education purposes, as it provides a helpful support to help explain the Null Hypothesis Significance Testing process, its use and/or shortcomings.
Author: Nils Myszkowski [aut, cre]
Maintainer: Nils Myszkowski <nilsmyszkowskiscience@gmail.com>

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Package gadget2 updated to version 2.3.10 with previous version 2.3.9 dated 2022-11-02

Title: Gadget is the Globally-Applicable Area Disaggregated General Ecosystem Toolbox
Description: A statistical ecosystem modelling package, taking many features of the ecosystem into account. Gadget works by running an internal model based on many parameters, and then comparing the data from the output of this model to real data to get a goodness-of-fit likelihood score. These parameters can then be adjusted, and the model re-run, until an optimum is found, which corresponds to the model with the lowest likelihood score. Gadget allows the user to include a number of features into an ecosystem model: One or more species, each of which may be split into multiple stocks; multiple areas with migration between areas; predation between and within species; maturation; reproduction and recruitment; multiple commercial and survey fleets taking catches from the populations. For more details see <https://gadget-framework.github.io/gadget2/>. This is the C++ Gadget2 runtime, making it available for R.
Author: Bjarki Thor Elvarsson [aut, cre], James Begley [aut], Hoskuldur Bjornsson [aut], Jamie Lentin [ctb], Gunnar Stefansson [ctb], Lorna Taylor [ctb], Daniel Howell [ctb], Sigurdur Hannesson [ctb], Narfi Stefansson [aut], Hersir Sigurgeirsson [ctb], Morte [...truncated...]
Maintainer: Bjarki Thor Elvarsson <bjarki.elvarsson@hafogvatn.is>

Diff between gadget2 versions 2.3.9 dated 2022-11-02 and 2.3.10 dated 2023-04-11

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Package AICcPermanova updated to version 0.0.2 with previous version 0.0.1 dated 2023-04-05

Title: Model Selection of PERMANOVA Models Using AICc
Description: Provides tools for model selection and model averaging of PerMANOVA models using Akaike Information Criterion corrected for small sample sizes (AICc) and Information Theoretic criteria principles. The package is built around the PERMANOVA analysis from the 'vegan' package and provides a streamlined workflow for generating and comparing models, obtaining model weights, and summarizing results using model averaging approaches. The methods implemented in this package are based on the practical information- theoretic approach described by Burnham, K. P. and Anderson, D. R. (2002) (<doi:10.1007/b97636>).
Author: Derek Corcoran [aut, cre]
Maintainer: Derek Corcoran <derek.corcoran.barrios@gmail.com>

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Package pec updated to version 2023.04.12 with previous version 2022.05.04 dated 2022-05-04

Title: Prediction Error Curves for Risk Prediction Models in Survival Analysis
Description: Validation of risk predictions obtained from survival models and competing risk models based on censored data using inverse weighting and cross-validation. Most of the 'pec' functionality has been moved to 'riskRegression'.
Author: Thomas A. Gerds
Maintainer: Thomas A. Gerds <tag@biostat.ku.dk>

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Package OwenQ updated to version 1.0.7 with previous version 1.0.6 dated 2023-01-27

Title: Owen Q-Function
Description: Evaluates the Owen Q-function for an integer value of the degrees of freedom, by applying Owen's algorithm (1965) <doi:10.1093/biomet/52.3-4.437>. It is useful for the calculation of the power of equivalence tests.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between OwenQ versions 1.0.6 dated 2023-01-27 and 1.0.7 dated 2023-04-11

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Package norgeo updated to version 2.1.5 with previous version 2.1.4 dated 2022-12-21

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

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Package campsismod updated to version 1.0.0 with previous version 0.9.0 dated 2022-06-17

Title: Generic Implementation of a PK/PD Model
Description: A generic, easy-to-use and expandable implementation of a pharmacokinetic (PK) / pharmacodynamic (PD) model based on the S4 class system. This package allows the user to read/write a pharmacometric model from/to files and adapt it further on the fly in the R environment. For this purpose, this package provides an intuitive API to add, modify or delete equations, ordinary differential equations (ODE's), model parameters or compartment properties (like infusion duration or rate, bioavailability and initial values). Finally, this package also provides a useful export of the model for use with simulation packages 'rxode2' and 'mrgsolve'. This package is designed and intended to be used with package 'campsis', a PK/PD simulation platform built on top of 'rxode2' and 'mrgsolve'.
Author: Nicolas Luyckx [aut, cre]
Maintainer: Nicolas Luyckx <nicolas.luyckx@calvagone.com>

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Package scs updated to version 3.2.4 with previous version 3.0-1 dated 2022-08-25

Title: Splitting Conic Solver
Description: Solves convex cone programs via operator splitting. Can solve: linear programs ('LPs'), second-order cone programs ('SOCPs'), semidefinite programs ('SDPs'), exponential cone programs ('ECPs'), and power cone programs ('PCPs'), or problems with any combination of those cones. 'SCS' uses 'AMD' (a set of routines for permuting sparse matrices prior to factorization) and 'LDL' (a sparse 'LDL' factorization and solve package) from 'SuiteSparse' (<https://people.engr.tamu.edu/davis/suitesparse.html>).
Author: Florian Schwendinger [aut, cre], Brendan O'Donoghue [aut, cph], Balasubramanian Narasimhan [aut], Timothy A. Davis [cph], Patrick R. Amestory [cph], Iain S. Duff [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package GauPro updated to version 0.2.11 with previous version 0.2.8 dated 2023-02-27

Title: Gaussian Process Fitting
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package autoReg updated to version 0.3.2 with previous version 0.2.6 dated 2022-04-05

Title: Automatic Linear and Logistic Regression and Survival Analysis
Description: Make summary tables for descriptive statistics and select explanatory variables automatically in various regression models. Support linear models, generalized linear models and cox-proportional hazard models. Generate publication-ready tables summarizing result of regression analysis and plots. The tables and plots can be exported in "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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

Title: Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports
Description: Experience studies are used by actuaries to explore historical experience across blocks of business and to inform assumption setting activities. This package provides functions for preparing data, creating studies, and beginning assumption development. Experience study methods, including exposure calculations, are described in: Atkinson & McGarry (2016) "Experience Study Calculations" <https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>. The limited fluctuation credibility method used by the 'exp_stats()' function is described in: Herzog (1999, ISBN:1-56698-374-6) "Introduction to Credibility Theory".
Author: Matt Heaphy [aut, cre]
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>

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Package spcosa updated to version 0.4-2 with previous version 0.4-1 dated 2022-08-11

Title: Spatial Coverage Sampling and Random Sampling from Compact Geographical Strata
Description: Spatial coverage sampling and random sampling from compact geographical strata created by k-means. See Walvoort et al. (2010) <doi:10.1016/j.cageo.2010.04.005> for details.
Author: Dennis Walvoort [aut, cre, cph] , Dick Brus [aut, cph] , Jaap de Gruijter [aut, cph]
Maintainer: Dennis Walvoort <dennis.Walvoort@wur.nl>

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Package googleAuthR updated to version 2.0.1 with previous version 2.0.0 dated 2022-01-28

Title: Authenticate and Create Google APIs
Description: Create R functions that interact with OAuth2 Google APIs <https://developers.google.com/apis-explorer/> easily, with auto-refresh and Shiny compatibility.
Author: Mark Edmondson [aut, cre] , Jennifer Bryan [ctb], Johann deBoer [ctb], Neal Richardson [ctb], David Kulp [ctb], Joe Cheng [ctb]
Maintainer: Mark Edmondson <m@sunholo.com>

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Package airGR updated to version 1.7.4 with previous version 1.7.0 dated 2022-02-22

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] , Olivier Delaigue [aut, cre] , Guillaume Thirel [aut, ths] , David Dorchies [aut] , Charles Perrin [aut, ths] , Claude Michel [aut, ths], Vazken Andreassian [ctb, ths] , Francois Bourgin [ctb] , Pierre Brigode [ctb] , Nicola [...truncated...]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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New package MTE with initial version 1.2
Package: MTE
Title: Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection
Version: 1.2
Date: 2023-04-08
Maintainer: Shaobo Li <shaobo.li@ku.edu>
Description: Several robust estimators for linear regression and variable selection are provided. Included are Maximum tangent likelihood estimator by Qin, et al., (2017) <arxiv:1708.05439>, least absolute deviance estimator and Huber regression. The penalized version of each of these estimator incorporates L1 penalty function, i.e., LASSO and Adaptive Lasso. They are able to produce consistent estimates for both fixed and high-dimensional settings.
URL: GitHub: https://github.com/shaobo-li/MTE
Depends: R (>= 3.1.0)
License: GPL-3
Imports: stats, quantreg, glmnet, rqPen
NeedsCompilation: no
Packaged: 2023-04-10 02:07:20 UTC; lisha
Author: Shaobo Li [aut, cre], Yichen Qin [aut]
Repository: CRAN
Date/Publication: 2023-04-11 09:20:05 UTC

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Package mapsFinland updated to version 0.2.2 with previous version 0.2.1 dated 2023-01-13

Title: Maps of Finland
Description: Maps and other related data of Finland.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

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Package CsChange updated to version 0.1.7 with previous version 0.1.6 dated 2020-07-18

Title: Testing for Change in C-Statistic
Description: Calculate the confidence interval and p value for change in C-statistic. The adjusted C-statistic is calculated by using formula as "Somers' Dxy rank correlation"/2+0.5. The confidence interval was calculated by using the bootstrap method. The p value was calculated by using the Z testing method. Please refer to the article of Peter Ganz et al. (2016) <doi:10.1001/jama.2016.5951>.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

Diff between CsChange versions 0.1.6 dated 2020-07-18 and 0.1.7 dated 2023-04-11

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Package baizer updated to version 0.4.0 with previous version 0.3.0 dated 2023-03-10

Title: Useful Functions for Data Processing
Description: In ancient Chinese mythology, Bai Ze is a divine creature that knows the needs of everything. 'baizer' provides data processing functions frequently used by the author. Hope this package also knows what you want!
Author: William Song [aut, cre]
Maintainer: William Song <william_swl@163.com>

Diff between baizer versions 0.3.0 dated 2023-03-10 and 0.4.0 dated 2023-04-11

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New package ast2ast with initial version 0.3.1
Package: ast2ast
Title: Translates an R Function to a C++ Function
Version: 0.3.1
Date: 2023-04-11
Author: Kraemer Konrad [aut, cre]
Maintainer: Kraemer Konrad <konrad_kraemer@yahoo.de>
BugReports: https://github.com/Konrad1991/ast2ast
URL: https://github.com/Konrad1991/ast2ast
Description: Enable translation of a tiny subset of R to C++. The user has to define a R function which gets translated. For a full list of possible functions check the documentation. After translation an R function is returned which is a shallow wrapper around the C++ code. Alternatively an external pointer to the C++ function is returned to the user. The intention of the package is to generate fast functions which can be used as ode-system or during optimization.
License: GPL-2
Imports: Rcpp (>= 1.0.4), purrr, R6, RcppArmadillo, methods, dfdr, rlang
VignetteBuilder: knitr
Suggests: knitr, kableExtra, rmarkdown, tinytest, microbenchmark, ggplot2, RcppXPtrUtils
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-11 08:48:22 UTC; konrad
Repository: CRAN
Date/Publication: 2023-04-11 09:20:02 UTC

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Package rmzqc updated to version 0.4.1 with previous version 0.1.0 dated 2022-08-18

Title: Creation, Reading and Validation of 'mzqc' Files
Description: Reads, writes and validates 'mzQC' files. The 'mzQC' format is a standardized file format for the exchange, transmission, and archiving of quality metrics derived from biological mass spectrometry data, as defined by the HUPO-PSI (Human Proteome Organisation - Proteomics Standards Initiative) Quality Control working group. See <https://hupo-psi.github.io/mzQC/> for details.
Author: Chris Bielow [aut, cre] , David Jimenez-Morales [rev, ctb]
Maintainer: Chris Bielow <chris.bielow@bsc.fu-berlin.de>

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Package oskeyring updated to version 0.1.6 with previous version 0.1.5 dated 2022-10-27

Title: Raw System Credential Store Access from R
Description: Aims to support all features of the system credential store, including non-portable ones. Supports 'Keychain' on 'macOS', and 'Credential Manager' on 'Windows'. See the 'keyring' package if you need a portable 'API'.
Author: Gabor Csardi [aut, cre], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between oskeyring versions 0.1.5 dated 2022-10-27 and 0.1.6 dated 2023-04-11

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More information about oskeyring at CRAN
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New package jpcity with initial version 0.1.0
Package: jpcity
Title: Read and Convert Japanese Municipality Codes
Version: 0.1.0
Description: Read Japanese city codes (<https://www.e-stat.go.jp/municipalities/cities>) to get city and prefecture names, or convert to city codes at different points in time. In addition, it merges or splits wards of designated cities and gets all city codes at a specific point in time.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: cli, dplyr, lubridate, pillar, purrr, rlang, stringr, tibble, vctrs
Suggests: testthat (>= 3.0.0)
URL: https://uchidamizuki.github.io/jpcity/
NeedsCompilation: no
Packaged: 2023-04-08 13:59:12 UTC; Mizuki
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>
Repository: CRAN
Date/Publication: 2023-04-11 08:10:05 UTC

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New package hybridts with initial version 0.1.0
Package: hybridts
Title: Hybrid Time Series Forecasting Using Error Remodeling Approach
Version: 0.1.0
Author: Tanujit Chakraborty [aut, cre, cph]
Description: Method and tool for generating hybrid time series forecasts using an error remodeling approach. These forecasting approaches utilize a recursive technique for modeling the linearity of the series using a linear method (e.g., ARIMA, Theta, etc.) and then models (forecasts) the residuals of the linear forecaster using non-linear neural networks (e.g., ANN, ARNN, etc.). The hybrid architectures comprise three steps: firstly, the linear patterns of the series are forecasted which are followed by an error re-modeling step, and finally, the forecasts from both the steps are combined to produce the final output. This method additionally provides the confidence intervals as needed. Ten different models can be implemented using this package. This package generates different types of hybrid error correction models for time series forecasting based on the algorithms by Zhang. (2003), Chakraborty et al. (2019), Chakraborty et al. (2020), Bhattacharyya et al. (2021), Chakraborty et al. (2022), and [...truncated...]
Maintainer: Tanujit Chakraborty <tanujitisi@gmail.com>
License: GPL (>= 2)
Encoding: UTF-8
Imports: forecast, nnfor, stats, WaveletArima, Metrics
Depends: datasets
Suggests: ggplot2
NeedsCompilation: no
Packaged: 2023-04-08 12:58:46 UTC; mad-s
Repository: CRAN
Date/Publication: 2023-04-11 08:10:08 UTC

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Package glmm.hp updated to version 0.0-8 with previous version 0.0-7 dated 2023-03-05

Title: Hierarchical Partitioning of Marginal R2 for Generalized Mixed-Effect Models
Description: Conducts hierarchical partitioning to calculate individual contributions of each fixed effects towards marginal R2 for generalized mixed-effect model based on output of r.squaredGLMM() in 'MuMIn', applying the algorithm of Lai J.,Zou Y., Zhang S.,Zhang X.,Mao L.(2022)glmm.hp: an R package for computing individual effect of predictors in generalized linear mixed models.Journal of Plant Ecology,15(6)1302-1307<doi:10.1093/jpe/rtac096>.
Author: Jiangshan Lai [aut, cre] , Kim Nimon [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

Diff between glmm.hp versions 0.0-7 dated 2023-03-05 and 0.0-8 dated 2023-04-11

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New package CrossCarry with initial version 0.1.0
Package: CrossCarry
Title: Analysis of Data from a Crossover Design with GEE
Version: 0.1.0
Description: Analyze data from a crossover design using generalized estimation equations (GEE), including carryover effects and various correlation structures based on the Kronecker product. It contains functions for semiparametric estimates of carry-over effects in repeated measures and allows estimation of complex carry-over effects. Related work includes: a) Cruz N.A., Melo O.O., Martinez C.A. (2023). "CrossCarry: An R package for the analysis of data from a crossover design with GEE". <arXiv:2304.02440v1>. b) Cruz N.A., Melo O.O., Martinez C.A. (2023). "A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures". <doi:10.1007/s00362-022-01391-z> and c) Cruz N.A., Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating equations for repeated measurements in cross-over designs". <doi:10.1177/09622802231158736>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: dplyr, gee, geepack, ggplot2, splines, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-04-07 23:10:54 UTC; nelso
Author: Nelson Alirio Cruz Gutierrez [aut, cre, cph], Oscar Orlando Melo [aut], Carlos Alberto Martinez [aut]
Maintainer: Nelson Alirio Cruz Gutierrez <neacruzgu@unal.edu.co>
Repository: CRAN
Date/Publication: 2023-04-11 08:00:02 UTC

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Package VicmapR updated to version 0.2.0 with previous version 0.1.10 dated 2023-03-31

Title: Access Victorian Spatial Data Through Web File Services (WFS)
Description: Easily interfaces R to spatial datasets available through the Victorian Government's WFS (Web Feature Service): <https://opendata.maps.vic.gov.au/geoserver/ows?request=GetCapabilities&service=wfs>, which allows users to read in 'sf' data from these sources. VicmapR uses the lazy querying approach and code developed by Teucher et al. (2021) for the 'bcdata' R package <doi:10.21105/joss.02927>.
Author: Justin Cally [aut, cre] , Rachel Swain [ctb], Andy Teucher [aut] , Sam Albers [aut] , Stephanie Hazlitt [aut] , Province of British Columbia [cph]
Maintainer: Justin Cally <justin.g.cally@gmail.com>

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Package intensitynet updated to version 1.4.0 with previous version 1.3.1 dated 2022-09-26

Title: Intensity Analysis of Spatial Point Patterns on Complex Networks
Description: Tools to analyze point patterns in space occurring over planar network structures derived from graph-related intensity measures for undirected, directed, and mixed networks. This package is based on the following research: Eckardt and Mateu (2018) <doi:10.1080/10618600.2017.1391695>. Eckardt and Mateu (2021) <doi:10.1007/s11749-020-00720-4>.
Author: Pol Llagostera [aut, cre], Matthias Eckardt [aut]
Maintainer: Pol Llagostera <pol.llagostera@udl.cat>

Diff between intensitynet versions 1.3.1 dated 2022-09-26 and 1.4.0 dated 2023-04-11

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Package idiogramFISH updated to version 2.0.11 with previous version 2.0.10 dated 2023-04-05

Title: Shiny App. Idiograms with Marks and Karyotype Indices
Description: Plot idiograms of karyotypes, plasmids, circular chr. having a set of data.frames for chromosome data and optionally mark data. Two styles of chromosomes can be used: without or with visible chromatids. Supports micrometers, cM and Mb or any unit. Three styles of centromeres are available: triangle, rounded and inProtein; and six styles of marks are available: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow (downArrow), exProtein (inProtein); its legend (label) can be drawn inline or to the right of karyotypes. Idiograms can also be plotted in concentric circles. It is possible to calculate chromosome indices by Levan et al. (1964) <https:onlinelibrary.wiley.com/doi/abs/10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986) <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986) and Levan et al. (1964).
Author: Fernando Roa [aut, cre], Mariana PC Telles [ctb]
Maintainer: Fernando Roa <froao@unal.edu.co>

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Package sregsurvey updated to version 0.1.3 with previous version 0.1.2 dated 2022-01-09

Title: Semiparametric Model-Assisted Estimation in Finite Populations
Description: It is a framework to fit semiparametric regression estimators for the total parameter of a finite population when the interest variable is asymmetric distributed. The main references for this package are Sarndal C.E., Swensson B., and Wretman J. (2003,ISBN: 978-0-387-40620-6, "Model Assisted Survey Sampling." Springer-Verlag) Cardozo C.A, Paula G.A. and Vanegas L.H. (2022) "Generalized log-gamma additive partial linear mdoels with P-spline smoothing", Statistical Papers. Cardozo C.A and Alonso-Malaver C.E. (2022). "Semi-parametric model assisted estimation in finite populations." In preparation.
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph], Carlos E. Alonso-Malaver [aut]
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

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Package ENMTools updated to version 1.1.1 with previous version 1.1.0 dated 2023-03-15

Title: Analysis of Niche Evolution using Niche and Distribution Models
Description: Constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.
Author: Dan Warren [aut, cre] , Russell Dinnage [aut]
Maintainer: Dan Warren <dan.l.warren@gmail.com>

Diff between ENMTools versions 1.1.0 dated 2023-03-15 and 1.1.1 dated 2023-04-11

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Package ebvcube (with last version 0.1.2) was removed from CRAN

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

2022-11-24 0.1.2
2022-11-09 0.1.1

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Package googlePrintr (with last version 0.0.1) was removed from CRAN

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

2018-02-06 0.0.1

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