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library(Rcpp) | ||
compileAttributes() | ||
q() | ||
library(Rcpp) | ||
compileAttributes() | ||
q() |
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Package: mvabund | ||
Title: Statistical Methods for Analysing Multivariate Abundance Data | ||
Version: 3.11.3 | ||
Date: 2015-09-01 | ||
Author: Yi Wang, Ulrike Naumann, Stephen Wright and David Warton | ||
Maintainer: David Warton <David.Warton@unsw.edu.au> | ||
Description: A set of tools for displaying, modeling and analysing | ||
multivariate abundance data in community ecology. See | ||
'mvabund-package.Rd' for details of overall package organization. | ||
The package is implemented with the Gnu Scientific Library | ||
(http://www.gnu.org/software/gsl/) and Rcpp | ||
(http://dirk.eddelbuettel.com/code/rcpp.html) R / C++ classes. | ||
Depends: R (>= 3.0.0) | ||
Imports: Rcpp, MASS, methods, stats, tweedie, statmod, parallel | ||
LinkingTo: Rcpp, RcppGSL | ||
License: LGPL (>= 2.1) | ||
Repository: R-Forge | ||
Packaged: 2015-08-26 00:41:47 UTC; ywang | ||
NeedsCompilation: yes | ||
Date/Publication: 2015-08-17 02:08:55 | ||
Repository/R-Forge/Project: mvabund | ||
Repository/R-Forge/Revision: 133 | ||
Repository/R-Forge/DateTimeStamp: 2015-08-17 02:08:55 |
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useDynLib(mvabund) | ||
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export(RcppVersion, | ||
as.mvabund, | ||
anova.manylm, | ||
anova.manyglm, | ||
anova.manyany, | ||
anova.traitglm, | ||
boxplot.mvabund, | ||
boxplot.mvformula, | ||
best.r.sq, | ||
cv.glm1path, | ||
deviance.manylm, | ||
extend.x.formula, | ||
formulaUnimva, | ||
glm1, | ||
glm1path, | ||
is.mvabund, | ||
is.mvformula, | ||
mvabund, | ||
mvformula, | ||
manylm, | ||
manyglm, | ||
manyany, | ||
predict.manylm, | ||
predict.manyglm, | ||
predict.traitglm, | ||
print.manyglm, | ||
print.anova.manyany, | ||
print.anova.manylm, | ||
print.summary.manylm, | ||
print.anova.manyglm, | ||
print.summary.manyglm, | ||
print.mvformula, | ||
plotMvaFactor, | ||
plotFormulafeature, | ||
plot.glm1path, | ||
plot.mvabund, | ||
plot.manylm, | ||
plot.manyglm, | ||
plot.manyany, | ||
plot.mvformula, | ||
ridgeParamEst, | ||
residuals.glm1path, | ||
residuals.manyany, | ||
residuals.manyglm, | ||
summary.manylm, | ||
summary.manyglm, | ||
shiftpoints, | ||
traitglm, | ||
unabund | ||
) | ||
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exportClasses(mvabund, mvformula) | ||
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exportMethods(meanvar.plot) | ||
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import(Rcpp, MASS, graphics, methods, tweedie, statmod, parallel) | ||
importFrom(stats,dpois, ppois, qpois, rpois) | ||
importFrom(stats,dbinom, pbinom, qbinom, rbinom) | ||
importFrom(stats,dnbinom, pnbinom, qnbinom, rnbinom) | ||
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S3method(extractAIC, manyglm) | ||
S3method(logLik, manyglm) | ||
S3method(logLik, manylm) | ||
S3method(logLik, manyany) | ||
S3method(anova, manyany) | ||
S3method(anova, manyglm) | ||
S3method(anova, manylm) | ||
S3method(anova, traitglm) | ||
S3method(summary, manyglm) | ||
S3method(summary, manylm) | ||
S3method(predict, manyglm) | ||
S3method(predict, manylm) | ||
S3method(predict, traitglm) | ||
S3method(deviance, manylm) | ||
S3method(residuals, manyany) | ||
S3method(residuals, manyglm) | ||
S3method(residuals, glm1path) | ||
S3method(plot, manyany) | ||
S3method(plot, manyglm) | ||
S3method(plot, manylm) | ||
S3method(plot, mvabund) | ||
S3method(plot, mvformula) | ||
S3method(plot, glm1path) | ||
S3method(boxplot, mvabund) | ||
S3method(boxplot, mvformula) | ||
S3method(print, anova.manyany) | ||
S3method(print, anova.manyglm) | ||
S3method(print, anova.manylm) | ||
S3method(print, manyglm) | ||
S3method(print, mvformula) | ||
S3method(print, summary.manyglm) | ||
S3method(print, summary.manylm) |
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# CLASSES in the mvabund package | ||
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# basic objects | ||
setClass("mvabund" ) | ||
setClass("formulaUnimva" ) | ||
setClass("mvformula") | ||
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# Model classes | ||
setClass("glm1path" ) | ||
setClass("manylm") | ||
setClass("manyglm") | ||
setClass("traitglm" ) | ||
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# summary classes | ||
setClass("summary.manylm") | ||
setClass("summary.manyglm") | ||
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# anova classes | ||
setClass("anova.manylm") | ||
setClass("anova.manyglm") |
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# This file was generated by Rcpp::compileAttributes | ||
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 | ||
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RtoAnovaCpp <- function(rparam, Y, X, isXvarIn, bIDsexp) { | ||
.Call('mvabund_RtoAnovaCpp', PACKAGE = 'mvabund', rparam, Y, X, isXvarIn, bIDsexp) | ||
} | ||
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RtoGlmAnova <- function(sparam, rparam, Y, X, O, isXvarIn, bIDsexp, lambda) { | ||
.Call('mvabund_RtoGlmAnova', PACKAGE = 'mvabund', sparam, rparam, Y, X, O, isXvarIn, bIDsexp, lambda) | ||
} | ||
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RtoGlm <- function(rparam, Y, X, O) { | ||
.Call('mvabund_RtoGlm', PACKAGE = 'mvabund', rparam, Y, X, O) | ||
} | ||
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RtoGlmSmry <- function(sparam, rparam, Y, X, O, bIDsexp, lambda) { | ||
.Call('mvabund_RtoGlmSmry', PACKAGE = 'mvabund', sparam, rparam, Y, X, O, bIDsexp, lambda) | ||
} | ||
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RtoSmryCpp <- function(rparam, Y, X, bIDsexp) { | ||
.Call('mvabund_RtoSmryCpp', PACKAGE = 'mvabund', rparam, Y, X, bIDsexp) | ||
} | ||
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RcppVersion <- function() { | ||
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version <- installed.packages()["Rcpp","Version"] | ||
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## Print version of this package | ||
cat('\nRcpp package Version ', version, '\n') | ||
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## Print version of Rcpp/RcppTemplate used to build this package | ||
licenseFile <- system.file(".", "LICENSE-Rcpp.txt", package="Rcpp") | ||
con <- file(licenseFile, "r") | ||
writeLines(readLines(con)[1:4]) | ||
close(con) | ||
invisible(NULL) | ||
} |
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