pace.PaceFit

class pace.PaceFit(B: ~numpy.ndarray, U: ~numpy.ndarray, se_B: ~numpy.ndarray, se_U: ~numpy.ndarray, alpha: ~numpy.ndarray, tau: ~numpy.ndarray, rho: ~numpy.ndarray, cell_types: list[str], genes: list[str], row_names: list[str], n_iter: int, converged: bool, params: dict[str, ~typing.Any] = <factory>, design: dict[str, ~typing.Any] | None = None, ambient_weights: dict[str, ~typing.Any] | None = None, fixed: ~numpy.ndarray | None = None, offset: ~numpy.ndarray | None = None, type_code: ~numpy.ndarray | None = None, kernel: ~numpy.ndarray | None = None, x: ~numpy.ndarray | None = None, y: ~numpy.ndarray | None = None, neighbour_slopes: ~typing.Any = None, variance_decomposition: ~typing.Any = None, single_frame: ~typing.Any = None, top_drivers: ~typing.Any = None, contam_fraction: ~numpy.ndarray | None = None, _counts: ~typing.Any = None, _statistics: ~typing.Any = None, condition_code: ~numpy.ndarray | None = None)

A fitted model, with the pieces the readouts need.

__init__(B: ~numpy.ndarray, U: ~numpy.ndarray, se_B: ~numpy.ndarray, se_U: ~numpy.ndarray, alpha: ~numpy.ndarray, tau: ~numpy.ndarray, rho: ~numpy.ndarray, cell_types: list[str], genes: list[str], row_names: list[str], n_iter: int, converged: bool, params: dict[str, ~typing.Any] = <factory>, design: dict[str, ~typing.Any] | None = None, ambient_weights: dict[str, ~typing.Any] | None = None, fixed: ~numpy.ndarray | None = None, offset: ~numpy.ndarray | None = None, type_code: ~numpy.ndarray | None = None, kernel: ~numpy.ndarray | None = None, x: ~numpy.ndarray | None = None, y: ~numpy.ndarray | None = None, neighbour_slopes: ~typing.Any = None, variance_decomposition: ~typing.Any = None, single_frame: ~typing.Any = None, top_drivers: ~typing.Any = None, contam_fraction: ~numpy.ndarray | None = None, _counts: ~typing.Any = None, _statistics: ~typing.Any = None, condition_code: ~numpy.ndarray | None = None) → None

Methods

__init__(B, U, se_B, se_U, alpha, tau, rho, ...)

Attributes

ambient_weights
condition_code
contam_fraction
design
fixed
kernel
neighbour_slopes
offset
single_frame
top_drivers
type_code
variance_decomposition
x
y
B
U
se_B
se_U
alpha
tau
rho
cell_types
genes
row_names
n_iter
converged
params