moderndid.FLCIResult

class moderndid.FLCIResult(flci: tuple[float, float], optimal_vec: ndarray, optimal_pre_period_vec: ndarray, optimal_half_length: float, smoothness_bound: float, status: str)

Bases: NamedTuple

Container for fixed-length confidence interval results.

Attributes:

flcituple[float, float]

The fixed-length confidence interval as (lower, upper).

optimal_vecnumpy.ndarray

The optimal weight vector over all periods used to construct the affine estimator.

optimal_pre_period_vecnumpy.ndarray

The optimal weight vector restricted to pre-treatment periods.

optimal_half_lengthfloat

The half-length of the confidence interval.

smoothness_boundfloat

The smoothness bound M used in the computation.

statusstr

Optimization status from the solver.

Methods

count(value, /)	Return number of occurrences of value.
index(value[, start, stop])	Return first index of value.

Attributes

flci	Fixed-length confidence interval as (lower, upper).
optimal_half_length	Half-length of the confidence interval.
optimal_pre_period_vec	Optimal weight vector restricted to pre-treatment periods.
optimal_vec	Optimal weight vector over all periods.
smoothness_bound	Smoothness bound M used in the computation.
status	Optimization status from the solver.