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Module bms

Module bms 

Source

Re-exports§

pub use deviation_runtime::DeviationRuntime;
pub use deviation_runtime::ParametricAnchorBlock;

Modules§

deviation_runtime
gpu
Bernoulli marginal-slope GPU kernels.

Structs§

BernoulliMarginalSlopeFitResult
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
Blom-rankit weighted rank inverse-normal transform for the latent score.

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
MarginalSlopeCovariance
MarginalSlopeCovarianceShape

Constants§

DEFAULT_EMPIRICAL_LATENT_GRID_SIZE

Functions§

fit_bernoulli_marginal_slope_terms
marginal_slope_covariance_from_scores
marginal_slope_preserving_scale
marginal_slope_probit_eta
padded_deviation_seed