moderndid.MPPretestResult

class moderndid.MPPretestResult(cvm_stat: float, cvm_boots: ndarray | None, cvm_critval: float, cvm_pval: float, ks_stat: float, ks_boots: ndarray | None, ks_critval: float, ks_pval: float, cluster_vars: list[str] | None = None, x_formula: str | None = None)

Bases: NamedTuple

Container for pre-test results of conditional parallel trends assumption.

Attributes:

cvm_statfloat

Cramer von Mises test statistic.

cvm_bootsnumpy.ndarray, optional

Vector of bootstrapped Cramer von Mises test statistics.

cvm_critvalfloat

Cramer von Mises critical value.

cvm_pvalfloat

P-value for Cramer von Mises test.

ks_statfloat

Kolmogorov-Smirnov test statistic.

ks_bootsnumpy.ndarray, optional

Vector of bootstrapped Kolmogorov-Smirnov test statistics.

ks_critvalfloat

Kolmogorov-Smirnov critical value.

ks_pvalfloat

P-value for Kolmogorov-Smirnov test.

cluster_varslist[str], optional

Variables that were clustered on for the test.

x_formulastr, optional

Formula for the X variables used in the test.

Methods

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

Attributes

cluster_vars	Variables that were clustered on for the test.
cvm_boots	Bootstrapped Cramer von Mises test statistics.
cvm_critval	Cramer von Mises critical value.
cvm_pval	P-value for Cramer von Mises test.
cvm_stat	Cramer von Mises test statistic.
ks_boots	Bootstrapped Kolmogorov-Smirnov test statistics.
ks_critval	Kolmogorov-Smirnov critical value.
ks_pval	P-value for Kolmogorov-Smirnov test.
ks_stat	Kolmogorov-Smirnov test statistic.
x_formula	Formula for the X variables used in the test.