Module bms 

Re-exports

pub use deviation_runtime::DeviationRuntime;

pub use deviation_runtime::ParametricAnchorBlock;

pub use conditional_score_covariance::ConditionalScoreCoordinate;

pub use conditional_score_covariance::ConditionalScoreCovariance;

pub use conditional_score_covariance::ScoreCovarianceField;

Modules

conditional_score_covariance

The CONDITIONAL score covariance Σ(a) = Var(z | a) (gam#2766).

deviation_runtime

gpu

Bernoulli marginal-slope GPU kernels.

Structs

BernoulliMarginalSlopeAloRowGeometry

Negative-log-likelihood derivatives in the affine fitted coordinates [marginal eta, slope] for one saved Bernoulli marginal-slope row.

BernoulliMarginalSlopeAloRowInput

Complete saved-row state for exact rigid Bernoulli marginal-slope ALO replay.

BernoulliMarginalSlopeFitResult

BernoulliMarginalSlopeSavedAloReplay

Row-aligned replay of the fitted Bernoulli marginal-slope likelihood.

BernoulliMarginalSlopeSavedAloRowGeometry

Exact saved-row geometry in the full local primary frame [marginal eta, slope, score-warp coefficients..., link-deviation coefficients...].

BernoulliMarginalSlopeTermSpec

BmsLogslopeJacobian

β-dependent Jacobian for the BMS logslope block.

BmsMarginalJacobian

β-dependent Jacobian for the BMS marginal block.

CrossBlockIdentifiabilityWarning

Structured warning surfaced by the BMS family when a candidate flex block is fully aliased by its anchor union and gets dropped.

DeviationBlockConfig

EmpiricalZGrid

LatentZConditionalCalibration

Conditional location-scale calibration of the latent score (#905).

LatentZNormalization

LatentZPolicy

LatentZRankIntCalibration

Weighted mid-distribution rank inverse-normal transform for the latent score.

MarginalSlopeCovariance

Immutable, validated covariance geometry for the physical log-slope vector.

Enums

LatentMeasureCalibration

Optional calibration applied to the latent score before the BMS kernel runs. When RankInverseNormal, both the training and predict paths route the input z through LatentZRankIntCalibration::apply_* before the standard-normal closed-form kernel is invoked.

LatentMeasureKind

LatentMeasureSpec

LatentZCheckMode

LatentZNormalizationMode

MarginalSlopeCovarianceShape

Constants

DEFAULT_EMPIRICAL_LATENT_GRID_SIZE

Functions

bernoulli_marginal_slope_alo_row_geometry

Replay the exact rigid standard-normal row program used by fitting.

fit_bernoulli_marginal_slope_terms

marginal_slope_covariance_from_scores

marginal_slope_preserving_scale

marginal_slope_probit_eta

padded_deviation_seed