Sun, 03 Jul 2022

Package LSDsensitivity updated to version 1.2.3 with previous version 1.2.2 dated 2022-05-26

Title: Sensitivity Analysis Tools for LSD Simulations
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente and Marcelo C. Pereira (documentation and downloads available at <https://www.labsimdev.org/>).
Author: Marcelo C. Pereira [aut, cre]
Maintainer: Marcelo C. Pereira <mcper@unicamp.br>

Diff between LSDsensitivity versions 1.2.2 dated 2022-05-26 and 1.2.3 dated 2022-07-03

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Package gets updated to version 0.36 with previous version 0.35 dated 2022-03-22

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting and testing for structural breaks in the mean, see Pretis, Reade and Sucarrat (2018) <doi:10.18637/jss.v086.i03>.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut], Jonas Kurle [ctb], Moritz Schwarz [ctb]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

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Package hdme updated to version 0.4.0 with previous version 0.3.4 dated 2021-09-02

Title: High-Dimensional Regression with Measurement Error
Description: Penalized regression for generalized linear models for measurement error problems (aka. errors-in-variables). The package contains a version of the lasso (L1-penalization) which corrects for measurement error (Sorensen et al. (2015) <doi:10.5705/ss.2013.180>). It also contains an implementation of the Generalized Matrix Uncertainty Selector, which is a version the (Generalized) Dantzig Selector for the case of measurement error (Sorensen et al. (2018) <doi:10.1080/10618600.2018.1425626>).
Author: Oystein Sorensen [aut, cre]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

Diff between hdme versions 0.3.4 dated 2021-09-02 and 0.4.0 dated 2022-07-03

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New package SurvivalPath with initial version 1.3.2
Package: SurvivalPath
Title: Construction and Visualization of Survival Path Tree using Time-Series Survival Data
Version: 1.3.2
Description: Facilitates building personalized survival path models. The function survivalpath() return tree structure results, which can be used to draw easily beautiful and ready-to-publish survival path tree. See Shen L, et al (2018) <doi:10.1038/s41467-018-04633-7> .
Depends: R (>= 3.6)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: ggplot2, ggtree, treeio, dplyr, rms, survival, survminer, survivalROC, Hmisc
Maintainer: Zhang Tao <nyy1920@163.com>
URL: https://github.com/zhangt369/SurvivalPath
NeedsCompilation: no
Packaged: 2022-07-03 08:51:44 UTC; lenovo
Author: Shen Lujun [aut, dtc], Zhang Tao [cre, cph]
Repository: CRAN
Date/Publication: 2022-07-03 18:30:05 UTC

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New package fst4pg with initial version 1.0.0
Package: fst4pg
Title: Genetic Distance Segmentation for Population Genetics
Version: 1.0.0
Date: 2022-06-15
Description: Provides efficient methods to compute local and genome wide genetic distances (corresponding to the so called Hudson Fst parameters) through moment method, perform chromosome segmentation into homogeneous Fst genomic regions, and selection sweep detection for multi-population comparison. When multiple profile segmentation is required, the procedure can be parallelized using the future package.
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: dplyr, fpopw, furrr, future, ggplot2, gplots, graphics, grDevices, purrr, rlang, scales, stats, stringr, tibble, tidyr, utils
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-30 16:24:08 UTC; smoka
Author: Tristan Mary-Huard [aut, cre] , Guillem Rigaill [aut]
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>
Repository: CRAN
Date/Publication: 2022-07-03 18:20:02 UTC

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New package elastes with initial version 0.1.6
Package: elastes
Title: Elastic Full Procrustes Means for Sparse and Irregular Planar Curves
Version: 0.1.6
Description: Provides functions for the computation of functional elastic shape means over sets of open planar curves. The package is particularly suitable for settings where these curves are only sparsely and irregularly observed. It uses a novel approach for elastic shape mean estimation, where planar curves are treated as complex functions and a full Procrustes mean is estimated from the corresponding smoothed Hermitian covariance surface. This is combined with the methods for elastic mean estimation proposed in Steyer, Stöcker, Greven (2022) <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <arXiv:2203.10522> for details.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: elasdics, utils, graphics, stats, splines, mgcv, sparseFLMM, orthogonalsplinebasis
Suggests: knitr, covr, testthat (>= 3.0.0), rmarkdown, shapes
VignetteBuilder: knitr
URL: https://mpff.github.io/elastes/
NeedsCompilation: no
Packaged: 2022-07-02 08:43:40 UTC; mnl
Author: Manuel Pfeuffer [aut, cre], Lisa Steyer [aut], Almond Stoecker [aut]
Maintainer: Manuel Pfeuffer <mnl.pfeuffer@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-03 18:20:05 UTC

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New package bsnsing with initial version 1.0.1
Package: bsnsing
Title: Build Decision Trees with Optimal Multivariate Splits
Version: 1.0.1
Author: Yanchao Liu
Maintainer: Yanchao Liu <yanchaoliu@wayne.edu>
Description: Functions for training an optimal decision tree classifier, making predictions and generating latex code for plotting. Works for two-class and multi-class classification problems. The algorithm seeks the optimal Boolean rule consisting of multiple variables to split a node, resulting in shorter trees. Use bsnsing() to build a tree, predict() to make predictions and plot() to plot the tree into latex and PDF. See Yanchao Liu (2022) <arXiv:2205.15263> for technical details. Source code and more data sets are at <https://github.com/profyliu/bsnsing/>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: methods, Rcpp (>= 1.0.3)
Suggests: C50, party, rpart, tree
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-07-03 15:16:04 UTC; gn0061
Repository: CRAN
Date/Publication: 2022-07-03 18:40:02 UTC

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Package bizicount updated to version 1.1.0 with previous version 1.0.0 dated 2022-02-10

Title: Bivariate Zero-Inflated Count Models Using Copulas
Description: Maximum likelihood estimation of copula-based zero-inflated (and non-inflated) Poisson and negative binomial count models. Supports Frank and Gaussian copulas. Allows for mixed margins (e.g., one margin Poisson, the other zero-inflated negative binomial), and several marginal link functions. Built-in methods for publication-quality tables using 'texreg', and post-estimation diagnostics using 'DHARMa'. For information on copula regression for count data, see Genest and Nešlehová (2007) <doi:10.1017/S0515036100014963> as well as Nikoloulopoulos (2013) <doi:10.1007/978-3-642-35407-6_11>. For information on zero-inflated count regression generally, see Lambert (1992) <https:www.jstor.org/stable/1269547?origin=crossref>. The author acknowledges support by NSF DMS-1925119 and DMS-212324.
Author: John Niehaus [aut, cre]
Maintainer: John Niehaus <jniehaus2257@gmail.com>

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Package NetSci updated to version 1.0.0 with previous version 0.1.2 dated 2021-12-02

Title: Calculates Basic Network Measures Commonly Used in Network Medicine
Description: Calculates network measures such as Largest Connected Component (LCC), Proximity, Separation, Jaccard Index, along with permutation, when needed.
Author: Deisy Gysi
Maintainer: Deisy Morselli Gysi <deisy.ccnr@gmail.com>

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Package estimability updated to version 1.4 with previous version 1.3 dated 2018-02-11

Title: Tools for Assessing Estimability of Linear Predictions
Description: Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).
Author: Russell Lenth [aut, cre, cph]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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Package migraph updated to version 0.10.6 with previous version 0.9.3 dated 2022-04-14

Title: Tools for Multimodal Network Analysis
Description: A set of tools for analysing multimodal networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. It includes functions for measuring centrality, centralization, cohesion, closure, and constraint, as well as for network block-modelling and regression. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book in addition to other network data.
Author: James Hollway [cph, cre, aut, ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package UniprotR updated to version 2.2.0 with previous version 2.1.1 dated 2022-06-28

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

Diff between UniprotR versions 2.1.1 dated 2022-06-28 and 2.2.0 dated 2022-07-03

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Package Rrdap updated to version 1.0.5 with previous version 1.0.3 dated 2022-06-22

Title: RDAP Server Querying
Description: Queries data from RDAP servers.
Author: Brad Cable
Maintainer: Brad Cable <brad@bcable.net>

Diff between Rrdap versions 1.0.3 dated 2022-06-22 and 1.0.5 dated 2022-07-03

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Package OptSig updated to version 2.2 with previous version 2.1 dated 2020-04-18

Title: Optimal Level of Significance for Regression and Other Statistical Tests
Description: The optimal level of significance is calculated based on a decision-theoretic approach. The optimal level is chosen so that the expected loss from hypothesis testing is minimized. A range of statistical tests are covered, including the test for the population mean, population proportion, and a linear restriction in a multiple regression model. The details are covered in Kim and Choi (2020) <doi:10.1111/abac.12172>, and Kim (2021) <doi:10.1080/00031305.2020.1750484>.
Author: Jae H. Kim <jaekim8080@gmail.com>
Maintainer: Jae H. Kim <jaekim8080@gmail.com>

Diff between OptSig versions 2.1 dated 2020-04-18 and 2.2 dated 2022-07-03

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New package EvaluateCore with initial version 0.1.3
Package: EvaluateCore
Title: Quality Evaluation of Core Collections
Version: 0.1.3
Description: Implements various quality evaluation statistics to assess the value of plant germplasm core collections using qualitative and quantitative phenotypic trait data according to Odong et al. (2015) <doi:10.1007/s00122-012-1971-y>.
Copyright: 2018-2022, ICAR-NBPGR
License: GPL-2 | GPL-3
Encoding: UTF-8
URL: https://github.com/aravind-j/EvaluateCore https://CRAN.R-project.org/package=EvaluateCore https://aravind-j.github.io/EvaluateCore/ https://doi.org/10.5281/zenodo.3875930
BugReports: https://github.com/aravind-j/EvaluateCore/issues
Depends: R (>= 3.5.0)
Imports: agricolae, boot, car, cluster, dplyr, entropy, ggcorrplot, ggplot2, grDevices, gridExtra, kSamples, mathjaxr, psych, reshape2, Rdpack, stats, vegan
Suggests: corehunter, pander, rJava (>= 0.9-8)
LazyData: true
NeedsCompilation: no
Packaged: 2022-06-30 12:06:32 UTC; J. Aravind
Author: J. Aravind [aut, cre] , Vikender Kaur [aut] , Dhammaprakash Pandhari Wankhede [aut] , Joghee Nanjundan [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.gov.in>
Repository: CRAN
Date/Publication: 2022-07-03 12:50:02 UTC

More information about EvaluateCore at CRAN
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New package ergm.multi with initial version 0.1.0
Package: ergm.multi
Version: 0.1.0
Date: 2022-07-03
Title: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks
Depends: R (>= 3.5.0), ergm (>= 4.2.2), network (>= 1.17)
Imports: statnet.common (>= 4.6.0), rlang, purrr (>= 0.2.4), tibble (>= 1.4.2), Matrix, methods, parallel, glue, rle, Rdpack (>= 0.8.2)
LinkingTo: ergm
Suggests: rmarkdown, knitr, dplyr, testthat
BugReports: https://github.com/statnet/ergm.multi/issues
Description: A set of extensions for the 'ergm' package to fit multilayer/multiplex/multirelational networks and samples of multiple networks. 'ergm.multi' is a part of the Statnet suite of packages for network analysis. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Krivitsky, Coletti, and Hens (2022) <doi:10.48550/arXiv.2202.03685>.
License: GPL-3 + file LICENSE
URL: https://statnet.org
VignetteBuilder: rmarkdown, knitr
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-07-03 06:34:03 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre] , Mark S. Handcock [ctb], David R. Hunter [ctb], Chad Klumb [ctb], Pietro Coletti [ctb], Joyce Cheng [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>
Repository: CRAN
Date/Publication: 2022-07-03 12:30:02 UTC

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Package DEPONS2R updated to version 1.1.4 with previous version 1.0.3 dated 2021-04-26

Title: Read, Plot and Analyse Output from the DEPONS Model
Description: Methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu>, and for manipulating input raster files and shipping routes.
Author: Jacob Nabe-Nielsen and Caitlin K. Frankish
Maintainer: Jacob Nabe-Nielsen <jnn@ecos.au.dk>

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Package biogeom updated to version 1.0.6 with previous version 1.0.5 dated 2022-05-12

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. 'biogeom' can quantify the conspecific or interspecific similarity of natural outlines, and provides information with important ecological and evolutionary implications for the growth and form of living organisms. Please see Shi et al. (2022) <doi:10.1111/nyas.14862> for details.
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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New package woodValuationDE with initial version 1.0.1
Package: woodValuationDE
Title: Wood Valuation Germany
Version: 1.0.1
Description: Monetary valuation of wood in German forests (stumpage values), including estimations of harvest quantities, wood revenues, and harvest costs. The functions are sensitive to tree species, mean diameter of the harvested trees, stand quality, and logging method. The functions include estimations for the consequences of disturbances on revenues and costs. The underlying assortment tables are taken from Offer and Staupendahl (2018) with corresponding functions for salable and skidded volume derived in Fuchs et al. (in preparation). Wood revenue and harvest cost functions were taken from v. Bodelschwingh (2018). The consequences of disturbances refer to Dieter (2001), Moellmann and Moehring (2017), and Fuchs et al. (2022a, 2022b). For the full references see documentation of the functions, package README, and Fuchs et al. (in preparation). Apart from Dieter (2001) and Moellmann and Moehring (2017), all functions and factors are based on data from HessenForst, the forest administration of the Federal State of Hesse in Germany.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.0.0)
URL: https://github.com/Forest-Economics-Goettingen/woodValuationDE
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-07-02 21:26:06 UTC; Jasper Fuchs
Author: Jasper M. Fuchs [aut, cre] , Kai Husmann [aut] , Hilmar v. Bodelschwingh [ctb], Roman Koster [ctb] , Kai Staupendahl [ctb] , Armin Offer [ctb], Bernhard Moehring [ctb], Carola Paul [ctb]
Maintainer: Jasper M. Fuchs <jasper.fuchs@uni-goettingen.de>
Repository: CRAN
Date/Publication: 2022-07-03 09:10:02 UTC

More information about woodValuationDE at CRAN
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New package rdddr with initial version 1.0.0
Package: rdddr
Title: Companion Datasets and Functions for Blair, Coppock, and Humphreys (2022) "Research Design: Declare, Diagnose, Redesign"
Version: 1.0.0
Description: Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design: Declare, Diagnose, Redesign" <https://book.declaredesign.org>. 'rdddr' includes datasets, helper functions, and plotting components to enable use and replication of the book.
Imports: dplyr, rlang (>= 1.0.0), generics, ggplot2, tibble, tidyr, dataverse, readr, prediction, broom, purrr, fabricatr, estimatr, randomizr, DeclareDesign
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), rdrobust, DIDmultiplegt, broom.mixed, grf, CausalQueries, metafor, cjoint, lme4, rstanarm, spdep
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-07-03 02:40:47 UTC; gblair
Author: Graeme Blair [aut, cre] , Alexander Coppock [aut] , Macartan Humphreys [aut]
Maintainer: Graeme Blair <graeme.blair@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-03 09:20:02 UTC

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New package qPCRtools with initial version 0.1.1
Package: qPCRtools
Version: 0.1.1
Title: Tools for qPCR
Description: qPCR is a widely used method to detect the expression level of genes in biological research. A crucial step in processing qPCR data is to calculate the amplification efficiency of genes to determine which method should be used to calculate expression level of genes. This Package can do it easily. In addition to that, this package can calculate the expression level of genes based on three methods.
URL: https://github.com/lixiang117423/qPCRtools
BugReports: https://github.com/lixiang117423/qPCRtools/issues
License: MIT + file LICENSE
Imports: broom, data.table, dplyr, ggplot2, ggpmisc, ggthemes, magrittr, multcomp, readxl, reshape2, rstatix, sjmisc, stringr, tibble, tidyr, xlsx
NeedsCompilation: no
Packaged: 2022-07-02 17:20:39 UTC; xiang
Author: Xiang LI [cre, aut]
Maintainer: Xiang LI <lixiang117423@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-03 09:10:07 UTC

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New package ftaproxim with initial version 0.0.1
Package: ftaproxim
Title: Fault Tree Analysis Based on Proxel Simulation
Version: 0.0.1
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>
Description: Calculation and plotting of instantaneous unavailabilities of basic events along with the top event of fault trees are issues important in reliability analysis of complex systems. Here, a fault tree is provided in terms of its minimal cut sets, along with reliability and maintainability distribution functions of the basic events. All the methods are derived from Horton (2002, ISBN: 3-936150-21-4), Niloofar and Lazarova-Molnar (2022).
License: GPL (>= 2)
Encoding: UTF-8
Imports: plyr, ggplot2
NeedsCompilation: no
Packaged: 2022-07-02 19:46:57 UTC; Hossein
Author: Parisa Niloofar [aut] , Sanja Lazarova-Molnar [aut], Hossein Haghbin [aut, cre]
Repository: CRAN
Date/Publication: 2022-07-03 09:10:09 UTC

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New package spatgeom with initial version 0.1.0
Package: spatgeom
Title: Geometric Spatial Point Analysis
Version: 0.1.0
Maintainer: Maikol Solis <maikol.solis@ucr.ac.cr>
Description: The implementation to perform the geometric spatial point analysis developed in Hernández & Solís (2022) <doi:10.1007/s00180-022-01244-1>. It estimates the geometric goodness-of-fit index for a set of variables against a response one based on the 'sf' package. The package has methods to print and plot the results.
License: MIT + file LICENSE
URL: https://github.com/maikol-solis/spatgeom
BugReports: https://github.com/maikol-solis/spatgeom/issues
Encoding: UTF-8
Imports: ggplot2, scales, sf, dplyr, lwgeom, cowplot, purrr
Depends: R (>= 3.6.0)
Suggests: rmarkdown, knitr, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2022-07-02 11:47:40 UTC; maikol
Author: Maikol Solis [aut, cre], Alberto Hernandez [ctb], Carlos Pasquier [ctb]
Repository: CRAN
Date/Publication: 2022-07-03 09:00:02 UTC

More information about spatgeom at CRAN
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