Package index • pilotr

All functions

as241(): Inverse normal cumulative distribution function (Wichura's AS 241)
brms_bridge(): Derive a brms formula, family, and priors from a design spec
build_spec(): Build a design specification from a flat list of design inputs
default_response_name(): Default response-column name for a family
generate_r_script(): Generate a self-contained, reproducible R script from a specification
load_spec(): Load a design specification from a JSON file
make_rng(): Create a shared cross-language random-number generator
model_data(): Build the modelling data frame from a simulated data set and its specification
model_formula(): Derive the lmer formula implied by a specification
pilotr pilotr-package: pilotr: Simulate Experimental and Behavioural Data from a Portable Design Specification
pilotr_example(): Example design specifications shipped with pilotr
power_curve_mixed(): Power curve over sample size for a crossed mixed-effects design
power_design(): Simulation-based power and design analysis for a two-group Gaussian design
power_mixed(): Simulation-based power and design analysis for a crossed mixed-effects design
precision_curve(): Precision and ROPE curve over sample size
precision_design(): Precision and ROPE design analysis at a fixed sample size
run_app(): Launch the pilotr no-code app.
simulate_design(): Simulate a data set from a design specification
spec_json(): Serialise a design specification to pretty-printed JSON