pub struct CollapsedOut {
pub mu_observed: GammaMatrix,
pub mu_adjusted: Option<GammaMatrix>,
pub mu_residual: Option<GammaMatrix>,
pub gamma: Option<GammaMatrix>,
pub delta: Option<GammaMatrix>,
pub stats_kept: bool,
}Expand description
output struct to make the model parameters more accessible
Fields§
§mu_observed: GammaMatrix§mu_adjusted: Option<GammaMatrix>§mu_residual: Option<GammaMatrix>§gamma: Option<GammaMatrix>§delta: Option<GammaMatrix>§stats_kept: boolWhether a_stat/b_stat remain on the parameters. False after
Self::release_stats or a MeanOnly assemble that dropped them.
Self::observed_counts requires this to be true.
Implementations§
Source§impl CollapsedOut
impl CollapsedOut
Sourcepub fn observed_counts(
&self,
cell_to_pb: &[usize],
) -> Result<(DMatrix<f32>, Vec<f32>)>
pub fn observed_counts( &self, cell_to_pb: &[usize], ) -> Result<(DMatrix<f32>, Vec<f32>)>
The observed counts [D × S] and pseudobulk sizes [S] of this level:
each entry is the prior-free rate evidence_mean (data sum over data
denominator) times the pseudobulk’s cell count, and a size is the number
of cells cell_to_pb puts in it. Reads the observed (not batch-adjusted)
posterior’s sufficient statistics, so the collapse must have kept them
(MultilevelParams::keep_finest_stats for the finest level).
§Errors
- sufficient statistics were released (
keep_finest_statswas false underMeanOnlycalibration) - a
cell_to_pbentry is out of range for this level’s pseudobulk count
Trait Implementations§
Source§impl Clone for CollapsedOut
impl Clone for CollapsedOut
Auto Trait Implementations§
impl Forget for CollapsedOut
impl Freeze for CollapsedOut
impl Move for CollapsedOut
impl RefUnwindSafe for CollapsedOut
impl Send for CollapsedOut
impl Sync for CollapsedOut
impl Unpin for CollapsedOut
impl UnsafeUnpin for CollapsedOut
impl UnwindSafe for CollapsedOut
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