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
calibrate_response      Rescale a design to a target total variance
default_response_name   Default response-column name for a family
design_conditions       Build a grid of fixed-effect coefficient sets
generate_design_analysis
                        Generate a Bayesian design-analysis script from
                        a specification
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-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
                        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 mixed-effects design
precision_curve         Precision and ROPE curve over sample size
precision_design        Precision and ROPE design analysis at a fixed
                        sample size
print.pilotr_bridge     Print a brms bridge
print.pilotr_power      Print a simulation-based power result
replicate_seeds         Seeds for the replicates of a Monte Carlo run
response_variance       Variance components of the linear predictor
run_app                 Launch the pilotr no-code app
simulate_design         Simulate a data set from a design specification
solve_curve             Solve a simulated design curve for the value
                        that meets a target
spec_from_model         Build a design specification from a fitted
                        mixed model
spec_json               Serialise a design specification to
                        pretty-printed JSON
sweep_spec              Sweep an analysis over one field of a design
                        specification
target_n                Solve a power curve for the sample size that
                        reaches a target power
validate_spec           Validate a design specification
