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")