KSLCore/ksl.app.dist.result/ShiftAnalysisDTO

ShiftAnalysisDTO

@Serializable

data class ShiftAnalysisDTO(val leftShift: Double, val hasZeroes: Boolean, val hasNegatives: Boolean, val zeroTolerance: Double, val ciForMinimumLevel: Double, val ciForMinimumLower: Double, val ciForMinimumUpper: Double)(source)

Wire-safe, complete left-shift analysis for a continuous fit — the full content of the standard report's "Shift Parameter Analysis" section. Carries the estimated left shift, whether the data has zeros/negatives, the zero tolerance used, and the bootstrap confidence interval for the data minimum that drives the shift recommendation.

The CI for the minimum is a bootstrap estimate computed at fit time; a live canonical render recomputes it (and may differ slightly because bootstrap resampling is stochastic). Discrete fits do not shift, so this is null on the discrete path.

Constructors

ShiftAnalysisDTO

constructor(leftShift: Double, hasZeroes: Boolean, hasNegatives: Boolean, zeroTolerance: Double, ciForMinimumLevel: Double, ciForMinimumLower: Double, ciForMinimumUpper: Double)

Properties

ciForMinimumLevel

val ciForMinimumLevel: Double

ciForMinimumLower

val ciForMinimumLower: Double

ciForMinimumUpper

val ciForMinimumUpper: Double

hasNegatives

val hasNegatives: Boolean

hasZeroes

val hasZeroes: Boolean

leftShift

val leftShift: Double

zeroTolerance

val zeroTolerance: Double