Package: SCMA 1.3.1

Tamal Kumar De

SCMA: Single-Case Meta-Analysis

Perform meta-analysis of single-case experiments, including calculating various effect size measures (SMD, PND, PEM and NAP) and probability combining (additive and multiplicative method), as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

Authors:Isis Bulte, Tamal Kumar De, Patrick Onghena

SCMA_1.3.1.tar.gz
SCMA_1.3.1.zip(r-4.7)SCMA_1.3.1.zip(r-4.6)SCMA_1.3.1.zip(r-4.5)
SCMA_1.3.1.tgz(r-4.6-any)SCMA_1.3.1.tgz(r-4.5-any)
SCMA_1.3.1.tar.gz(r-4.7-any)SCMA_1.3.1.tar.gz(r-4.6-any)
SCMA_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SCMA/json (API)

# Install 'SCMA' in R:
install.packages('SCMA', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:
  • AB - Hypothetical AB data
  • P - P-values

On CRAN:

Conda:

archivedpackagesr-universe

1.81 score 5 stars 13 scripts 237 downloads 2 exports 0 dependencies

Last updated from:4ebd150c5e (on package/SCMA). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK93
source / vignettesOK165
linux-release-x86_64OK115
macos-release-arm64OK71
macos-oldrel-arm64OK83
windows-develOK60
windows-releaseOK66
windows-oldrelOK67
wasm-releaseOK87

Exports:combineES

Dependencies: