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‎.Rbuildignore‎

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^CRAN-SUBMISSION$

‎CRAN-SUBMISSION‎

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Version: 0.6.5
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Date: 2025-08-21 00:21:42 UTC
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SHA: f6927ae29a09dfa8fe4042e48d4d8c3e9556ee5c

‎README.md‎

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Lukács, G. (2022). POSSA: Power simulation for sequential analyses and multiple hypotheses. _Journal of Open Source Software, 7_(76), 4643. https://doi.org/10.21105/joss.04643
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[![DOI](https://joss.theoj.org/papers/10.21105/joss.04643/status.svg)](https://doi.org/10.21105/joss.04643) ![](https://www.r-pkg.org/badges/version-last-release/POSSA "POSSA CRAN last version") ![](http://cranlogs.r-pkg.org/badges/POSSA?color=8585ad "POSSA CRAN monthly download count") [![R-CMD-check](https://github.com/gasparl/possa/workflows/R-CMD-check/badge.svg)](https://github.com/gasparl/possa/actions) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6523855.svg)](https://doi.org/10.5281/zenodo.6523855) [![codecov](https://codecov.io/gh/gasparl/possa/branch/master/graph/badge.svg?token=YVA1OCIDD7)](https://app.codecov.io/gh/gasparl/possa)
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[![DOI](https://joss.theoj.org/papers/10.21105/joss.04643/status.svg)](https://doi.org/10.21105/joss.04643) ![](https://www.r-pkg.org/badges/version-last-release/POSSA "POSSA CRAN last version") ![](https://cranlogs.r-pkg.org/badges/POSSA?color=8585ad "POSSA CRAN monthly download count") [![R-CMD-check](https://github.com/gasparl/possa/workflows/R-CMD-check/badge.svg)](https://github.com/gasparl/possa/actions) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6523855.svg)](https://doi.org/10.5281/zenodo.6523855) [![codecov](https://codecov.io/gh/gasparl/possa/branch/master/graph/badge.svg?token=YVA1OCIDD7)](https://app.codecov.io/gh/gasparl/possa)

‎paper/paper.bib‎

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title = {A practical primer to power analysis for simple experimental designs},
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volume = {31},
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issn = {2397-8570},
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url = {http://www.rips-irsp.com/articles/10.5334/irsp.181/},
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url = {https://www.rips-irsp.com/articles/10.5334/irsp.181/},
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doi = {10.5334/irsp.181},
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language = {en},
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number = {1},

‎vignettes/v_1_intro.Rmd‎

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Below, the essence of `POSSA`'s power (and type 1 error rate, T1ER) calculation for sequential designs is explained using the simple example of a t-test. Of course, for t-tests specifically, you could use other and potentially more user-friendly software – however, the point here is to understand how the `POSSA` works, and, subsequently, it should be possible for you to extend this example to virtually any statistical null hypothesis test. Cases of multiple hypotheses (and recording descriptives) are explained on a [separate page](https://gasparl.github.io/possa/vignettes/v_2_multiple_hypotheses.html), but these too are straightforward extensions of the present examples.
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This tutorial presupposes the basic conceptual understanding of sequential analyses (and the basics or statistical power and T1ER). There are several related free tutorials online (see e.g. [Lakens, 2014](https://psyarxiv.com/9yegd/)).
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This tutorial presupposes the basic conceptual understanding of sequential analyses (and the basics or statistical power and T1ER). There are several related free tutorials online (see e.g. [Lakens, 2014](https://osf.io/preprints/psyarxiv/9yegd_v1)).
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All parameters mentioned below are described in detail in the full documentation (see `?sim` and `?pow`).
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‎vignettes/v_1_intro.html‎

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examples.</p>
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<p>This tutorial presupposes the basic conceptual understanding of
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sequential analyses (and the basics or statistical power and T1ER).
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There are several related free tutorials online (see e.g. <a href="https://psyarxiv.com/9yegd/">Lakens, 2014</a>).</p>
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There are several related free tutorials online (see e.g. <a href="https://osf.io/preprints/psyarxiv/9yegd_v1">Lakens, 2014</a>).</p>
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<p>All parameters mentioned below are described in detail in the full
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documentation (see <code>?sim</code> and <code>?pow</code>).</p>
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<p>So let’s say you want to compare the means of two independent

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