| ALEstimate-class {RobAStBase} | R Documentation |
Class of asymptotically linear estimates.
Objects can be created by calls of the form new("ALEstimate", ...).
name:"character":
name of the estimator. estimate:"ANY":
estimate. samplesize:"numeric":
sample size. asvar:"matrix":
asymptotic variance. asbias:"numeric":
asymptotic bias. pIC:InfluenceCurve:
influence curve. nuis.idx:"OptionalNumeric":
indices of estimate belonging to the nuisance part. Infos:"matrix"
with two columns named method and message:
additional informations.
Class "Estimate", directly.
signature(object = "ALEstimate"):
accessor function for slot pIC. signature(object = "ALEstimate") signature(object = "ALEstimate", method = "missing"):
compute asymptotic (LAN-based) confidence interval neglecting any bias. signature(object = "ALEstimate", method = "symmetricBias"):
compute asymptotic (LAN-based) confidence interval incorporating bias
symmetrically. signature(object = "ALEstimate", method = "onesidedBias"):
compute asymptotic (LAN-based) confidence interval incorporating bias
one-sided; i.e., positive or negative, respectively. signature(object = "ALEstimate", method = "asymmetricBias"):
compute asymptotic (LAN-based) confidence interval incorporating bias
asymmetrically. Matthias Kohl Matthias.Kohl@stamats.de
## prototype
new("ALEstimate")