pastas.solver.EmceeSolve.ci_simulation#
- EmceeSolve.ci_simulation(n=1000, alpha=0.05, max_iter=10, **kwargs)#
Method to calculate the confidence interval for the simulation.
- Returns
data (Pandas.DataFrame) – DataFrame of length number of observations and two columns labeled 0.025 and 0.975 (numerical values) containing the 2.5% and 97.5% interval (for alpha=0.05)
**kwargs – Additional keyword arguments are passed to the ml.simulate() method. For example, tmin and tmax can be passed as keyword arguments to compute the confidence interval for a specific period.
- Parameters
- Return type
Notes
The confidence interval shows the uncertainty in the simulation due to parameter uncertainty. In other words, there is a 95% probability that the true best-fit line for the observed data lies within the 95% confidence interval.