Wed, 04 Apr 2018

Package meteoForecast updated to version 0.52 with previous version 0.51 dated 2017-04-01

Title: Numerical Weather Predictions
Description: Access to several Numerical Weather Prediction services both in raster format and as a time series for a location. Currently it works with GFS, MeteoGalicia, NAM, and RAP.
Author: Oscar Perpinan Lamigueiro [cre, aut], Marcelo Pinho Almeida [ctb]
Maintainer: Oscar Perpinan Lamigueiro <oscar.perpinan@gmail.com>

Diff between meteoForecast versions 0.51 dated 2017-04-01 and 0.52 dated 2018-04-04

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Package HistData updated to version 0.8-4 with previous version 0.8-2 dated 2017-08-16

Title: Data Sets from the History of Statistics and Data Visualization
Description: The 'HistData' package provides a collection of small data sets that are interesting and important in the history of statistics and data visualization. The goal of the package is to make these available, both for instructional use and for historical research. Some of these present interesting challenges for graphics or analysis in R.
Author: Michael Friendly [aut, cre], Stephane Dray [ctb], Hadley Wickham [ctb], James Hanley [ctb], Dennis Murphy [ctb], Peter Li [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package data.world updated to version 1.2.2 with previous version 1.2.0 dated 2018-01-12

Title: Functions and Add-Ins for Working with 'data.world' Data Sets and Projects
Description: High-level tools for working with 'data.world' data sets. 'data.world' is a platform where you can find interesting data, store and showcase your own data and data projects, and find and collaborate with other members. In addition to exploring, querying and charting data on the data.world site, you can access data via 'API' endpoints and integrations. Use this package to access, query and explore data sets, and to publish your insights. Visit <https://data.world>, for additional information.
Author: Rafael Pereira [aut, cre], Triet Le [aut], Bryon Jacob [aut], Scott Came [aut]
Maintainer: Rafael Pereira <rafael.pereira@data.world>

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Package ape updated to version 5.1 with previous version 5.0 dated 2017-10-30

Title: Analyses of Phylogenetics and Evolution
Description: Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results are returned into R.
Author: Emmanuel Paradis [aut, cre, cph], Simon Blomberg [aut, cph], Ben Bolker [aut, cph], Joseph Brown [aut, cph], Julien Claude [aut, cph], Hoa Sien Cuong [aut, cph], Richard Desper [aut, cph], Gilles Didier [aut, cph], Benoit Durand [aut, cph], Julien Dutheil [aut, cph], RJ Ewing [aut, cph], Olivier Gascuel [aut, cph], Thomas Guillerme [aut, cph], Christoph Heibl [aut, cph], Anthony Ives [aut, cph], Bradley Jones [aut, cph], Franz Krah [aut, cph], Daniel Lawson [aut, cph], Vincent Lefort [aut, cph], Pierre Legendre [aut, cph], Jim Lemon [aut, cph], Rosemary McCloskey [aut, cph], Johan Nylander [aut, cph], Rainer Opgen-Rhein [aut, cph], Andrei-Alin Popescu [aut, cph], Manuela Royer-Carenzi [aut, cph], Klaus Schliep [aut, cph], Korbinian Strimmer [aut, cph], Damien de Vienne [aut, cph]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

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Package solvebio updated to version 2.4.0 with previous version 2.3.1 dated 2018-02-01

Title: The Official SolveBio API Client
Description: R language bindings for SolveBio's API. SolveBio is a biomedical knowledge hub that enables life science organizations to collect and harmonize the complex, disparate "multi-omic" data essential for today's R&D and BI needs. For more information, visit <https://www.solvebio.com>.
Author: David Caplan
Maintainer: David Caplan <dcaplan@solvebio.com>

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Package smoothr updated to version 0.1.0 with previous version 0.0.1 dated 2018-03-19

Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.
Author: Matthew Strimas-Mackey [aut, cre] (<https://orcid.org/0000-0001-8929-7776>)
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>

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Package Infusion updated to version 1.2.0 with previous version 1.1.8 dated 2017-11-10

Title: Inference Using Simulation
Description: Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated (Rousset et al. 2017 <doi:10.1111/1755-0998.12627>).
Author: François Rousset [aut, cre, cph]
Maintainer: François Rousset <francois.rousset@umontpellier.fr>

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Package factorMerger updated to version 0.3.6 with previous version 0.3.5 dated 2018-02-21

Title: The Merging Path Plot
Description: The Merging Path Plot is a methodology for adaptive fusing of k-groups with likelihood-based model selection. This package contains tools for exploration and visualization of k-group dissimilarities. Comparison of k-groups is one of the most important issues in exploratory analyses and it has zillions of applications. The traditional approach is to use pairwise post hoc tests in order to verify which groups differ significantly. However, this approach fails with a large number of groups in both interpretation and visualization layer. The Merging Path Plot solves this problem by using an easy-to-understand description of dissimilarity among groups based on Likelihood Ratio Test (LRT) statistic. Work on this package was financially supported by the 'NCN Opus grant 2016/21/B/ST6/02176'.
Author: Agnieszka Sitko [aut, cre], Aleksandra Grudziąż [aut], Przemyslaw Biecek [aut, ths]
Maintainer: Agnieszka Sitko <ag.agnieszka.sitko@gmail.com>

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Package ForestTools updated to version 0.2.0 with previous version 0.1.5 dated 2017-09-08

Title: Analyzing Remotely Sensed Forest Data
Description: Provides tools for analyzing remotely sensed forest data, including functions for detecting treetops from canopy models, outlining tree crowns and generating spatial statistics.
Author: Andrew Plowright
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

Diff between ForestTools versions 0.1.5 dated 2017-09-08 and 0.2.0 dated 2018-04-04

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Package bigKRLS updated to version 3.0.0 with previous version 2.0.4 dated 2017-10-24

Title: Optimized Kernel Regularized Least Squares
Description: Functions for Kernel-Regularized Least Squares optimized for speed and memory usage are provided along with visualization tools. For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>. bigKRLS, as well its dependencies, require current versions of R and its compilers (and RStudio if used). For details, see <https://github.com/rdrr1990/bigKRLS/blob/master/INSTALL.md>.
Author: Pete Mohanty [aut, cre], Robert Shaffer [aut]
Maintainer: Pete Mohanty <pete.mohanty@gmail.com>

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Package scagnostics updated to version 0.2-4.1 with previous version 0.2-4 dated 2012-11-05

Title: Compute scagnostics - scatterplot diagnostics
Description: Calculates graph theoretic scagnostics. Scagnostics describe various measures of interest for pairs of variables, based on their appearance on a scatterplot. They are useful tool for discovering interesting or unusual scatterplots from a scatterplot matrix, without having to look at every individual plot.
Author: Lee Wilkinson <leland.wilkinson@gmail.com> and Anushka Anand
Maintainer: Simon Urbanek <simon.urbanek@r-project.org>

Diff between scagnostics versions 0.2-4 dated 2012-11-05 and 0.2-4.1 dated 2018-04-04

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Package hydrolinks (with last version 0.9.3) was removed from CRAN

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

2018-03-27 0.9.3
2018-02-08 0.7.1
2017-11-06 0.5

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Package netCoin updated to version 0.2.8 with previous version 0.2.7 dated 2018-01-29

Title: Interactive Networks with R
Description: Create interactive networked coincidences. It joins the data analysis power of R to study coincidences and the visualization libraries of JavaScript in one package.
Author: Modesto Escobar <modesto@usal.es>, David Barrios <metal@usal.es>, Carlos Prieto <cprietos@usal.es>, Luis Martinez-Uribe <lmartinez@usal.es>.
Maintainer: Modesto Escobar <modesto@usal.es>

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Package powerbydesign updated to version 1.0.4 with previous version 1.0.3 dated 2016-10-07

Title: Power Estimates for ANOVA Designs
Description: Functions for bootstrapping the power of ANOVA designs based on estimated means and standard deviations of the conditions. Please refer to the documentation of the boot.power.anova() function for further details.
Author: Frank Papenmeier [aut, cre]
Maintainer: Frank Papenmeier <frank.papenmeier@uni-tuebingen.de>

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Package gets updated to version 0.15 with previous version 0.14 dated 2018-01-07

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.
Author: Genaro Sucarrat [aut, cre], Felix Pretis [aut], James Reade [aut]
Maintainer: Genaro Sucarrat <genaro.sucarrat@bi.no>

Diff between gets versions 0.14 dated 2018-01-07 and 0.15 dated 2018-04-04

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Package clubSandwich updated to version 0.3.1 with previous version 0.3.0 dated 2017-11-13

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), ivreg (from package 'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from 'metafor').
Author: James Pustejovsky [aut, cre]
Maintainer: James Pustejovsky <jepusto@gmail.com>

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Package matlib updated to version 0.9.1 with previous version 0.8.1 dated 2016-09-17

Title: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics
Description: A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm. In addition, a collection of functions are provided for drawing vector diagrams in 2D and 3D.
Author: Michael Friendly [aut, cre], John Fox [aut], Phil Chalmers [aut], Georges Monette [ctb], Gaston Sanchez [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package iTOP updated to version 1.0.1 with previous version 1.0.0 dated 2018-03-22

Title: Inferring the Topology of Omics Data
Description: Infers a topology of relationships between different datasets, such as multi-omics and phenotypic data recorded on the same samples. We based this methodology on the RV coefficient (Robert & Escoufier, 1976, <doi:10.2307/2347233>), a measure of matrix correlation, which we have extended for partial matrix correlations and binary data (Aben et al., 2018, <doi:10.1101/293993>).
Author: Nanne Aben
Maintainer: Nanne Aben <nanne.aben@gmail.com>

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Package emdi updated to version 1.1.2 with previous version 1.1.1 dated 2017-07-08

Title: Estimating and Mapping Disaggregated Indicators
Description: Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation and the model-based approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel.
Author: Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut]
Maintainer: Soeren Pannier <soeren.pannier@fu-berlin.de>

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Package cosa updated to version 1.2.0 with previous version 1.1.0 dated 2018-03-01

Title: Constrained Optimal Sample Allocation
Description: Implements generalized constrained optimal sample allocation framework for two-group multilevel regression discontinuity studies and multilevel randomized trials with continuous outcomes. Bulus, M. (2017). Design Considerations in Three-level Regression Discontinuity Studies (Doctoral dissertation). University of Missouri, Columbia, MO.
Author: Metin Bulus [aut, cre, cph]
Maintainer: Metin Bulus <bulusmetin@gmail.com>

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Package rsimsum updated to version 0.3.1 with previous version 0.3.0 dated 2018-02-22

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (See White I.R., 2010 <http://www.stata-journal.com/article.html?article=st0200>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Ian R. White [aut]
Maintainer: Alessandro Gasparini <ag475@leicester.ac.uk>

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Package afex updated to version 0.20-2 with previous version 0.19-1 dated 2018-01-08

Title: Analysis of Factorial Experiments
Description: Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed between-within (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3 sums of squares as default (imitating commercial statistical software).
Author: Henrik Singmann [aut, cre] (<https://orcid.org/0000-0002-4842-3657>), Ben Bolker [aut], Jake Westfall [aut], Frederik Aust [aut] (<https://orcid.org/0000-0003-4900-788X>), Søren Højsgaard [ctb], John Fox [ctb], Michael A. Lawrence [ctb], Ulf Mertens [ctb], Jonathon Love [ctb], Russell Lenth [ctb], Rune Haubo Bojesen Christensen [ctb]
Maintainer: Henrik Singmann <singmann+afex@gmail.com>

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Package systemfit updated to version 1.1-22 with previous version 1.1-20 dated 2017-03-12

Title: Estimating Systems of Simultaneous Equations
Description: Econometric estimation of simultaneous systems of linear and nonlinear equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS), Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS), Weighted Two-Stage Least Squares (W2SLS), and Three-Stage Least Squares (3SLS).
Author: Arne Henningsen and Jeff D. Hamann
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package RRreg updated to version 0.6.7 with previous version 0.6.6 dated 2018-03-29

Title: Correlation and Regression Analyses for Randomized Response Data
Description: Univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69). <doi:10.2307/2283137> Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression (with or without random effects), as predictors in a linear regression, or as dependent variable in a beta-binomial ANOVA. For simulation and bootstrap purposes, RR data can be generated according to several models.
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>

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Package ggExtra updated to version 0.8 with previous version 0.7 dated 2017-06-24

Title: Add Marginal Histograms to 'ggplot2', and More 'ggplot2' Enhancements
Description: Collection of functions and layers to enhance 'ggplot2'. The flagship function is 'ggMarginal()', which can be used to add marginal histograms/boxplots/density plots to 'ggplot2' scatterplots.
Author: Dean Attali [aut, cre], Christopher Baker [aut]
Maintainer: Dean Attali <daattali@gmail.com>

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Package EffectStars2 updated to version 0.1-2 with previous version 0.1-1 dated 2016-09-01

Title: Effect Stars
Description: Provides functions for the method of effect stars as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. Effect stars can be used to visualize estimates of parameters corresponding to different groups, for example in multinomial logit models. Beside the main function 'effectstars' there exist methods for special objects, for example for 'vglm' objects from the 'VGAM' package.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther@stat.uni-muenchen.de>

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Package EffectStars updated to version 1.9 with previous version 1.8 dated 2017-10-09

Title: Visualization of Categorical Response Models
Description: Notice: The package EffectStars2 provides a more up-to-date implementation of effect stars! EffectStars provides functions to visualize regression models with categorical response as proposed by Tutz and Schauberger (2013) <doi:10.1080/10618600.2012.701379>. The effects of the variables are plotted with star plots in order to allow for an optical impression of the fitted model.
Author: Gunther Schauberger
Maintainer: Gunther Schauberger <gunther.schauberger@stat.uni-muenchen.de>

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Package apTreeshape updated to version 1.5-0 with previous version 1.4-5 dated 2012-11-08

Title: Analyses of Phylogenetic Treeshape
Description: Simulation and analysis of phylogenetic tree topologies using statistical indices. It is a companion library of the 'ape' package. It provides additional functions for reading, plotting, manipulating phylogenetic trees. It also offers convenient web-access to public databases, and enables testing null models of macroevolution using corrected test statistics. Trees of class "phylo" (from 'ape' package) can be converted easily. Implements methods described in Bortolussi et al. (2005) <doi:10.1093/bioinformatics/bti798> and Maliet et al. (2017) <doi:10.1101/224295>.
Author: Nicolas Bortolussi, Michael Blum, Eric Durand, Olivier Francois, Odile Maliet
Maintainer: Michael Blum <michael.blum@univ-grenoble-alpes.fr>

Diff between apTreeshape versions 1.4-5 dated 2012-11-08 and 1.5-0 dated 2018-04-04

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Package bioset updated to version 0.2.1 with previous version 0.2.0 dated 2017-11-03

Title: Convert a Matrix of Raw Values into Nice and Tidy Data
Description: Functions to help dealing with raw data from measurements, like reading and transforming raw values organized in matrices, calculating and converting concentrations and calculating precision of duplicates / triplicates / ... . It is compatible with and building on top of some 'tidyverse'-packages.
Author: Eike Christian Kühn [aut, cre]
Maintainer: Eike Christian Kühn <eike.kuehn@pixelwoelkchen.de>

Diff between bioset versions 0.2.0 dated 2017-11-03 and 0.2.1 dated 2018-04-04

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Package lmtest updated to version 0.9-36 with previous version 0.9-35 dated 2017-02-11

Title: Testing Linear Regression Models
Description: A collection of tests, data sets, and examples for diagnostic checking in linear regression models. Furthermore, some generic tools for inference in parametric models are provided.
Author: Torsten Hothorn [aut] (<https://orcid.org/0000-0001-8301-0471>), Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Richard W. Farebrother [aut] (pan.f), Clint Cummins [aut] (pan.f), Giovanni Millo [ctb], David Mitchell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package humanize updated to version 0.2.0 with previous version 0.1.0 dated 2018-03-15

Title: Create Values for Human Consumption
Description: An almost direct port of the 'python' 'humanize' package <https://github.com/jmoiron/humanize>. This package contains utilities to convert values into human readable forms.
Author: Gerry Manoim [aut, cre]
Maintainer: Gerry Manoim <gerrymanoim@gmail.com>

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Package asnipe updated to version 1.1.9 with previous version 1.1.8 dated 2018-01-26

Title: Animal Social Network Inference and Permutations for Ecologists
Description: Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.
Author: Damien R. Farine <dfarine@orn.mpg.de>
Maintainer: Damien R. Farine <dfarine@orn.mpg.de>

Diff between asnipe versions 1.1.8 dated 2018-01-26 and 1.1.9 dated 2018-04-04

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