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Making example shorter.
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DESCRIPTION

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Description: The goal of gnonadd is to simplify workflows in the analysis of non-additive effects of
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sequence variants. This includes variance effects, correlation effects, interaction
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effects and dominance effects. The package also includes convenience functions for visualization.
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URL: https://github.com/DecodeGenetics/gnonadd
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BugReports: https://github.com/DecodeGenetics/gnonadd/issues
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License: MIT + file LICENSE
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Encoding: UTF-8
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LazyData: true
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RoxygenNote: 7.2.1
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Depends:
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R (>= 2.10)
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Imports:
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ggplot2,
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MASS
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ggplot2

R/Env_interaction_CaseControl_all_vs_all.R

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#' @returns
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#' A dataframe with all possible variant-environmental pairs and their estimated interaction effect
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#' @examples
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#' N_run <- 50000
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#' N_run <- 25000
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#' g_vec <- matrix(0, nrow = N_run, ncol = 3)
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#' freqs <- runif(ncol(g_vec), min = 0, max = 1)
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#' env_vec <- matrix(0, nrow = N_run, ncol = 3)

R/Interactions_CaseControl_all_vs_all.R

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#' @returns
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#' A dataframe with all possible variant pairs and their estimated interaction effect
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#' @examples
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#' N_run <- 50000
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#' N_run <- 25000
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#' g_vec <- matrix(0, nrow = N_run, ncol = 5)
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#' freqs <- runif(ncol(g_vec), min = 0,max = 1)
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#' for(i in 1:ncol(g_vec)){

cran-comments.md

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## Test environments
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* rhub with devtools::check_rhub
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* local OS X install, R 4.1.2
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* win builder with devtools::check_win_devel
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## R CMD check results
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0 errors | 0 warnings | 1 note
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* This is a new release. Gudmundur Einarsson has published two packages to CRAN.
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* This is a new release and first release for Audunn S. Snaebjarnarson.
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Gudmundur Einarsson has published two packages to CRAN.

man/pairwise_env_int_CC.calc.Rd

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man/pairwise_int_CC.calc.Rd

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