Simulate noisy observations
sim.create_y(noise_type, f, snr, phi, gamma, N_trials)
| noise_type | Either "gaussian", "poisson", "nb" (negative binomial), "binomial", or "bb" (beta-binomial). |
|---|---|
| f | The underlying signal. |
| snr | The desired signal-to-noise ratio. This argument is valid
only when |
| phi | The inverse overdispersion parameter for negative binomial data.
The variance is |
| gamma | The dispersion parameter for beta-binomial data. |
| N_trials | The number of trials parameter for binomial data. |
A list out, where
out$h is f mapped through an inverse link function
(times N_trials if noise_type is binomial or beta-binomial)
out$y is the noisy response variable.