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The raw data was normalized in R using variance stabilizing normalization (VSN) methods implemented in package vsn [25].
Likelihood was maximized using an EM algorithm implemented in package Qxpak [ 19].
Origin of insect pollinators was obtained from the Charles Darwin Foundation database (http://www.darwinfoundation.org/datazone/checklists). All analyses were performed using functions lme and lmer implemented in package lme4 in the R package v. 3.1.0 (R Development Core Team 2014).
To analyze the precision data, and to attach statistical significance (by constructing 95% confidence bands for the precision curves), we used 'local regression' implemented in package 'locfit' of R statistical language [ 25, 26].
Differences between ROC curves were calculated using the DeLong method (DeLong et al. 1988) implemented in package pROC for R. In order to correct for multiple tests, all P values were adjusted using Benjamini Hochberg method with false discovery rate (FDR) ≤ 10%.
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It incorporates their ease-of-use, while providing advanced analytic methods that can be implemented in packages such as Stata, R and SAS by a statistical programmer.
The model-based approach implemented in software package STRUCTURE [ 17] was used to examine population structure.
SNP QC analyses are routinely performed and implemented in software packages such as PLINK [Purcell et al., 2007].
This meta-analysis strategy is implemented in software packages such as rareMETAL [ 62] and skatMeta [ 63] (see also [ 64]).
The program was implemented in parmigene package of R software (http://www.r-project.org/).org/
The prevR approach was explained in details elsewhere [ 4] and implemented in a package for the statistical software R [ 11].
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