This page was generated on 2019-04-16 11:52:34 -0400 (Tue, 16 Apr 2019).
splatter 1.6.1 Luke Zappia
Snapshot Date: 2019-04-15 17:01:12 -0400 (Mon, 15 Apr 2019) |
URL: https://git.bioconductor.org/packages/splatter |
Branch: RELEASE_3_8 |
Last Commit: b809a81 |
Last Changed Date: 2018-12-05 17:48:38 -0400 (Wed, 05 Dec 2018) |
| malbec1 | Linux (Ubuntu 16.04.6 LTS) / x86_64 | OK | OK | [ OK ] | | |
merida1 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | ERROR | OK | |
R version 3.5.3 (2019-03-11) -- "Great Truth"
Copyright (C) 2019 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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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
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> # setting R_TESTS to empty string because of
> # https://github.com/hadley/testthat/issues/144
> # revert this when that issue in R is fixed.
> Sys.setenv("R_TESTS" = "")
>
> library(testthat)
> library(splatter)
Loading required package: SingleCellExperiment
Loading required package: SummarizedExperiment
Loading required package: GenomicRanges
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, basename, cbind, colMeans, colSums, colnames,
dirname, do.call, duplicated, eval, evalq, get, grep, grepl,
intersect, is.unsorted, lapply, lengths, mapply, match, mget,
order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind,
rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply,
union, unique, unsplit, which, which.max, which.min
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following object is masked from 'package:base':
expand.grid
Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: DelayedArray
Loading required package: matrixStats
Attaching package: 'matrixStats'
The following objects are masked from 'package:Biobase':
anyMissing, rowMedians
Loading required package: BiocParallel
Attaching package: 'DelayedArray'
The following objects are masked from 'package:matrixStats':
colMaxs, colMins, colRanges, rowMaxs, rowMins, rowRanges
The following objects are masked from 'package:base':
aperm, apply
>
> test_check("splatter")
-----------------------------------------------------
MCMC sampler has been started: 20000 iterations to go.
-----------------------------------------------------
-----------------------------------------------------
End of Burn-in period.
-----------------------------------------------------
-----------------------------------------------------
-----------------------------------------------------
All 20000 MCMC iterations have been completed.
-----------------------------------------------------
-----------------------------------------------------
-----------------------------------------------------
Please see below a summary of the overall acceptance rates.
-----------------------------------------------------
Minimum acceptance rate among mu[i]'s: 0.324333
Average acceptance rate among mu[i]'s: 0.457085
Maximum acceptance rate among mu[i]'s: 0.612467
Minimum acceptance rate among delta[i]'s: 0.347933
Average acceptance rate among delta[i]'s: 0.447136
Maximum acceptance rate among delta[i]'s: 0.5156
Acceptance rate for phi (joint): 0.467667
Minimum acceptance rate among nu[j]'s: 0.396333
Average acceptance rate among nu[j]'s: 0.450798
Maximum acceptance rate among nu[j]'s: 0.489
Minimum acceptance rate among theta[k]'s: 0.4536
Average acceptance rate among theta[k]'s: 0.4536
Maximum acceptance rate among theta[k]'s: 0.4536
-----------------------------------------------------
-----------------------------------------------------
MCMC sampler has been started: 20000 iterations to go.
-----------------------------------------------------
-----------------------------------------------------
End of Burn-in period.
-----------------------------------------------------
-----------------------------------------------------
-----------------------------------------------------
All 20000 MCMC iterations have been completed.
-----------------------------------------------------
-----------------------------------------------------
-----------------------------------------------------
Please see below a summary of the overall acceptance rates.
-----------------------------------------------------
Minimum acceptance rate among mu[i]'s: 0.3782
Average acceptance rate among mu[i]'s: 0.479211
Maximum acceptance rate among mu[i]'s: 0.631667
Minimum acceptance rate among delta[i]'s: 0.378467
Average acceptance rate among delta[i]'s: 0.453599
Maximum acceptance rate among delta[i]'s: 0.537733
Minimum acceptance rate among nu[jk]'s: 0.396667
Average acceptance rate among nu[jk]'s: 0.442073
Maximum acceptance rate among nu[jk]'s: 0.509467
Minimum acceptance rate among theta[k]'s: 0.451533
Average acceptance rate among theta[k]'s: 0.4628
Maximum acceptance rate among theta[k]'s: 0.474067
-----------------------------------------------------
══ testthat results ═══════════════════════════════════════════════════════════
OK: 140 SKIPPED: 0 FAILED: 0
>
> proc.time()
user system elapsed
131.692 1.244 133.448