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smatr: (Standardised) Major Axis Estimation and Testing Routines

Methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.

Version: 3.4-8
Published: 2018-03-18
DOI: 10.32614/CRAN.package.smatr
Author: David Warton, Remko Duursma, Daniel Falster and Sara Taskinen.
Maintainer: Remko Duursma <remkoduursma at gmail.com>
License: GPL-2
URL: http://web.maths.unsw.edu.au/~dwarton, http://www.bitbucket.org/remkoduursma/smatr
NeedsCompilation: no
Citation: smatr citation info
Materials: README
CRAN checks: smatr results

Documentation:

Reference manual: smatr.pdf

Downloads:

Package source: smatr_3.4-8.tar.gz
Windows binaries: r-devel: smatr_3.4-8.zip, r-release: smatr_3.4-8.zip, r-oldrel: smatr_3.4-8.zip
macOS binaries: r-release (arm64): smatr_3.4-8.tgz, r-oldrel (arm64): smatr_3.4-8.tgz, r-release (x86_64): smatr_3.4-8.tgz, r-oldrel (x86_64): smatr_3.4-8.tgz
Old sources: smatr archive

Reverse dependencies:

Reverse depends: SpatialVx
Reverse imports: OncoSimulR, soiltestcorr, spDates
Reverse suggests: ecostats, httk, RRphylo

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.