This page was generated on 2018-10-17 08:57:40 -0400 (Wed, 17 Oct 2018).
splatter 1.4.3 Luke Zappia
Snapshot Date: 2018-10-15 16:45:08 -0400 (Mon, 15 Oct 2018) |
URL: https://git.bioconductor.org/packages/splatter |
Branch: RELEASE_3_7 |
Last Commit: 9cca297 |
Last Changed Date: 2018-08-19 22:31:49 -0400 (Sun, 19 Aug 2018) |
| malbec2 | Linux (Ubuntu 16.04.1 LTS) / x86_64 | OK | OK | OK | | |
tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | OK | OK | |
merida2 | OS X 10.11.6 El Capitan / x86_64 | OK | OK | [ OK ] | OK | |
R version 3.5.1 Patched (2018-07-12 r74967) -- "Feather Spray"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)
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Type 'license()' or 'licence()' for distribution details.
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
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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: 0.209267
Average acceptance rate among mu[i]'s: 0.4614
Maximum acceptance rate among mu[i]'s: 0.6934
Minimum acceptance rate among delta[i]'s: 0.403067
Average acceptance rate among delta[i]'s: 0.453523
Maximum acceptance rate among delta[i]'s: 0.511
Acceptance rate for phi (joint): 0.466067
Minimum acceptance rate among nu[j]'s: 0.4108
Average acceptance rate among nu[j]'s: 0.444723
Maximum acceptance rate among nu[j]'s: 0.487133
Minimum acceptance rate among theta[k]'s: 0.4698
Average acceptance rate among theta[k]'s: 0.4698
Maximum acceptance rate among theta[k]'s: 0.4698
-----------------------------------------------------
-----------------------------------------------------
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: 0.295733
Average acceptance rate among mu[i]'s: 0.467299
Maximum acceptance rate among mu[i]'s: 0.627267
Minimum acceptance rate among delta[i]'s: 0.363733
Average acceptance rate among delta[i]'s: 0.450091
Maximum acceptance rate among delta[i]'s: 0.5202
Minimum acceptance rate among nu[jk]'s: 0.396933
Average acceptance rate among nu[jk]'s: 0.453417
Maximum acceptance rate among nu[jk]'s: 0.487067
Minimum acceptance rate among theta[k]'s: 0.4196
Average acceptance rate among theta[k]'s: 0.436567
Maximum acceptance rate among theta[k]'s: 0.453533
-----------------------------------------------------
══ testthat results ═══════════════════════════════════════════════════════════
OK: 140 SKIPPED: 0 FAILED: 0
>
> proc.time()
user system elapsed
115.590 3.652 120.798