simulate_parameters: Simulate parameters

In calico/impulse: Fit Impulse and Sigmoidal Curves to Longitudinal Data Using TensorFlow

Simulate parameters

Description

Simulate parameters

Usage

simulate_parameters(
  n,
  model = "sigmoid",
  prior_pars = c(v_sd = 1.2, rate_shape = 2, rate_scale = 0.25, time_shape = 5,
    time_scale = 5),
  alpha = 0.01
)

Arguments

n	# of parameter sets to simulate
model	model to fit: sigmoid one sigmoidal response impulse two sigmoidal responses
prior_pars	Named numeric vector of parameters to use for priors (if use_prior is TRUE) v_sd Gaussian SD of assymptotes (v_inter and v_final) rate_shape Shape of rate Gamma rate_scale Scale of rate Gamma time_shape Shape of t_rise and t_fall - t_rise Gamma time_scale Scale of t_rise and t_fall - t_rise Gamma
alpha	tail fraction to sample from for asymptote changes

Examples

simulate_parameters(n = 20)

calico/impulse documentation built on June 4, 2024, 5:28 a.m.