Package: STB 0.6.6

Andre Schuetzenmeister

STB: Simultaneous Tolerance Bounds

Provides an implementation of simultaneous tolerance bounds (STB), useful for checking whether a numeric vector fits to a hypothetical null-distribution or not. Furthermore, there are functions for computing STB (bands, intervals) for random variates of linear mixed models fitted with package 'VCA'. All kinds of, possibly transformed (studentized, standardized, Pearson-type transformed) random variates (residuals, random effects), can be assessed employing STB-methodology.

Authors:Andre Schuetzenmeister [cre, aut]

STB_0.6.6.tar.gz
STB_0.6.6.tar.gz(r-4.7-arm64)STB_0.6.6.tar.gz(r-4.7-x86_64)STB_0.6.6.tar.gz(r-4.6-arm64)STB_0.6.6.tar.gz(r-4.6-x86_64)
STB_0.6.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
STB/json (API)

# Install 'STB' in R:
install.packages('STB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openmp

2.08 score 30 scripts 701 downloads 4 mentions 9 exports 16 dependencies

Last updated from:df4621aa52. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK114
source / vignettesOK165
linux-release-arm64OK124
linux-release-x86_64OK117
wasm-releaseOK99

Exports:fastSTBgetSTBplot.STBplot.stbVCArankSTBSASquantilestbstb.defaultstb.VCA

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrnumDerivrbibutilsRcppRcppEigenRdpackreformulasrlangVCA