Package: sparsenetgls

Version: 1.4.0

Command: /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:sparsenetgls.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings sparsenetgls_1.4.0.tar.gz

StartedAt: 2020-04-15 05:52:24 -0400 (Wed, 15 Apr 2020)

EndedAt: 2020-04-15 05:54:08 -0400 (Wed, 15 Apr 2020)

EllapsedTime: 104.7 seconds

RetCode: 0

Status:  OK

CheckDir: sparsenetgls.Rcheck

Warnings: 0

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### Running command:
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###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --install=check:sparsenetgls.install-out.txt --library=/Library/Frameworks/R.framework/Versions/Current/Resources/library --no-vignettes --timings sparsenetgls_1.4.0.tar.gz
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* using log directory ‘/Users/biocbuild/bbs-3.10-bioc/meat/sparsenetgls.Rcheck’
* using R version 3.6.3 (2020-02-29)
* using platform: x86_64-apple-darwin15.6.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘sparsenetgls/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘sparsenetgls’ version ‘1.4.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘sparsenetgls’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU or elapsed time > 5s
               user system elapsed
sparsenetgls 15.647  1.385  17.199
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: OK

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### Running command:
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###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD INSTALL sparsenetgls
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* installing to library ‘/Library/Frameworks/R.framework/Versions/3.6/Resources/library’
* installing *source* package ‘sparsenetgls’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (sparsenetgls)

R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> library(lme4)
Loading required package: Matrix
> library(Matrix)
> library(MASS)
> library(sparsenetgls)
> 
> test_check("sparsenetgls")
The input is identified as the covariance matrix.

Conducting the graphical lasso (glasso) wtih lossless screening....in progress: 19%
Conducting the graphical lasso (glasso) wtih lossless screening....in progress: 40%
Conducting the graphical lasso (glasso) wtih lossless screening....in progress: 60%
Conducting the graphical lasso (glasso)....done.                                          
The input is identified as the covariance matrix.

Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 9%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 19%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 30%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 40%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 50%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 60%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 70%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 80%
Conducting the graphical lasso (glasso) wtih lossy screening....in progress: 90%
Conducting the graphical lasso (glasso)....done.                                          
══ testthat results  ═══════════════════════════════════════════════════════════
[ OK: 2 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 0 ]
> 
> proc.time()
   user  system elapsed 
 16.486   4.327  20.963 

name	user	system	elapsed
assess_direct	0.001	0.000	0.001
bandprec	0.017	0.004	0.021
convertbeta	0.327	0.009	0.345
glassonet2	0.628	0.002	0.632
lassoglmnet	0.014	0.000	0.015
path_result_for_roc	0.003	0.001	0.003
plot_roc	0.007	0.001	0.008
plotsngls	3.381	0.041	3.470
sparsenetgls	15.647	1.385	17.199