ALEstimate-class {RobAStBase}R Documentation

ALEstimate-class.

Description

Class of asymptotically linear estimates.

Objects from the Class

Objects can be created by calls of the form new("ALEstimate", ...).

Slots

name:
Object of class "character": name of the estimator.
estimate:
Object of class "ANY": estimate.
samplesize:
Object of class "numeric": sample size.
asvar:
Optional object of class "matrix": asymptotic variance.
asbias:
Optional object of class "numeric": asymptotic bias.
pIC:
Optional object of class InfluenceCurve: influence curve.
nuis.idx:
object of class "OptionalNumeric": indices of estimate belonging to the nuisance part.
Infos:
object of class "matrix" with two columns named method and message: additional informations.

Extends

Class "Estimate", directly.

Methods

pIC
signature(object = "ALEstimate"): accessor function for slot pIC.
show
signature(object = "ALEstimate")
confint
signature(object = "ALEstimate", method = "missing"): compute asymptotic (LAN-based) confidence interval neglecting any bias.
confint
signature(object = "ALEstimate", method = "symmetricBias"): compute asymptotic (LAN-based) confidence interval incorporating bias symmetrically.
confint
signature(object = "ALEstimate", method = "onesidedBias"): compute asymptotic (LAN-based) confidence interval incorporating bias one-sided; i.e., positive or negative, respectively.
confint
signature(object = "ALEstimate", method = "asymmetricBias"): compute asymptotic (LAN-based) confidence interval incorporating bias asymmetrically.

Author(s)

Matthias Kohl Matthias.Kohl@stamats.de

See Also

Estimate-class

Examples

## prototype
new("ALEstimate")

[Package RobAStBase version 0.1.5 Index]