Package: tTOlr 0.2.3

tTOlr: Likelihood Ratio Statistics for One or Two Sample T-Tests

Likelihood ratio and maximum likelihood statistics are provided that can be used as alternatives to p-values Colquhoun (2017) <doi:10.1098/rsos.171085>. Arguments can be either p-values or t-statistics. together with degrees of freedom. For the function 'tTOlr', the argument 'twoSided' has the default 'twoSided = TRUE'.

Authors:John Maindonald [aut, cre]

tTOlr_0.2.3.tar.gz
tTOlr_0.2.3.zip(r-4.7)tTOlr_0.2.3.zip(r-4.6)tTOlr_0.2.3.zip(r-4.5)
tTOlr_0.2.3.tgz(r-4.6-any)tTOlr_0.2.3.tgz(r-4.5-any)
tTOlr_0.2.3.tar.gz(r-4.7-any)tTOlr_0.2.3.tar.gz(r-4.6-any)
tTOlr_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
tTOlr/json (API)

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

On CRAN:

Conda:

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

2.30 score 3 scripts 259 downloads 2 exports 10 dependencies

Last updated from:057092096c. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING125
source / vignettesOK210
linux-release-x86_64WARNING134
macos-release-arm64WARNING96
macos-oldrel-arm64WARNING75
windows-develWARNING75
windows-releaseWARNING77
windows-oldrelWARNING74
wasm-releaseOK139

Exports:tTOlrtTOmaxlik

Dependencies:deldirinterpjpeglatticelatticeExtraMASSpngRColorBrewerRcppRcppEigen

Likelihood Ratio and False Positive Risk
Introduction | Basic properties of $p$-values | Wear comparison for two shoe materials | What $p$-values do not, and cannot, provide | Strategies for the use of $p$-values | A binary choice is not always appropriate. | One experiment may not, on its own, be enough | Small differences may be of no interest | Effectiveness of soporofic drugs | A test that sets $\mu$ = 0.8 hours as the baseline | Likelihood ratio and false positive risk | What is the definitive question? | Density curves, under the NULL, and under the alternative | Maximum likelihood ratio versus $p$-value | False positive risk versus $p$-value | Power -- how well does a planned experiment discriminate? | The power of a $t$ or other statistical test | False positive risk, when $\alpha$ is used as cutoff | What choices of cutoff $\alpha$, and of power, make sense? | How should results be reported? | Further reading and references | References

Last update: 2023-09-12
Started: 2020-08-18

P-values -- Uses, abuses, and alternatives
References

Last update: 2020-08-18
Started: 2020-08-18