pilotr
Simulate Experimental and Behavioural Data from a Portable Design Specification
Generative simulation of experimental and behavioural data sets from a portable JavaScript Object Notation (JSON) design specification shared with the 'Python' package of the same name. Supports user-specified fixed effect sizes, crossed by-subject and by-item random intercepts and slopes, predictors measured with error, realistic response families (Gaussian, lognormal, shifted lognormal, ex-Gaussian, Bernoulli, Poisson, ordinal and Beta), and simulation-based power and precision-based design analysis, including the Type S and Type M errors of Gelman and Carlin (2014) <doi:10.1177/1745691614551642> and a region of practical equivalence. A shared cross-language random-number generator means that, given the same specification and seed, the R and 'Python' implementations produce identical data: exactly for the Gaussian family and for any family with rounding set, and to within the last unit in the last place for families applying a transcendental function to the linear predictor, whose rounding the IEEE-754 standard does not fix.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.0 |
rolling linux/jammy R-4.5 | pilotr_0.3.0.tar.gz |
470.8 KiB |
0.3.0 |
rolling linux/noble R-4.5 | pilotr_0.3.0.tar.gz |
470.4 KiB |
0.3.0 |
rolling source/ R- | pilotr_0.3.0.tar.gz |
293.2 KiB |
0.3.0 |
latest linux/jammy R-4.5 | pilotr_0.3.0.tar.gz |
470.8 KiB |
0.3.0 |
latest linux/noble R-4.5 | pilotr_0.3.0.tar.gz |
470.4 KiB |
0.3.0 |
latest source/ R- | pilotr_0.3.0.tar.gz |
293.2 KiB |
0.3.0 |
2026-04-23 source/ R- | pilotr_0.3.0.tar.gz |
0 B |