diff_binom_confint.ConfidenceInterval

class diff_binom_confint.ConfidenceInterval(lower_bound: float, upper_bound: float, estimate: float, level: float, method: str, sides: str = 'two-sided', digits: int = 7)

Dataclass for holding meta information of a confidence interval.

lower_bound

The lower bound of the confidence interval.

Type:

float

upper_bound

The upper bound of the confidence interval.

Type:

float

estimate

Estimate of (the difference of) the binomial proportion.

Type:

float

level

Confidence level, should be inside the interval (0, 1).

Type:

float

method

Computation method of the confidence interval.

Type:

str

sides

Sides of the confidence interval, should be one of

• “two-sided” (aliases “2-sided”, “two_sided”, “2_sided”, “2-sides”, “two_sides”, “two-sides”, “2_sides”, “ts”, “t”, “two”, “2”),

• “left-sided” (aliases “left_sided”, “left”, “ls”, “l”),

• “right-sided” (aliases “right_sided”, “right”, “rs”, “r”),

case insensitive.

Type:

str, default “two-sided”

digits

Number of digits to round the confidence interval to in the string representation.

Type:

int, default 7

__init__(lower_bound: float, upper_bound: float, estimate: float, level: float, method: str, sides: str = 'two-sided', digits: int = 7) → None

Methods

__init__(lower_bound, upper_bound, estimate, ...)
asdict()
astable([to, digits])	Return the confidence interval as a table (dataframe).
astuple()

Attributes

digits
sides
lower_bound
upper_bound
estimate
level
method