Description Usage Arguments Details Value Author(s) References
View source: R/summary_imprecise.R
The function summary.imprecise
is the
imprecise
method of generic function
summary
which is used for producing summaries of
the results from various model fitting functions
performed on the imprecise inferential framework. See
‘Details’.
1 2 3 |
object |
the object of class |
HT.est |
a logical value; Defaults to |
silent |
a logical value; Would like to see the
report of progress messages (including warnings and error
messages) generated from numerical methods that are used
for a numerical approximation? Defaults to |
Object summaries depend on the option chosen in the
method
. The commonly returned object is est
which is a collection of all Bayes estimates from the
imprecise posterior.
The Horvitz-Thompson estimator is the implementation of
that in the study of Heijden 2003.
HT.est=TRUE
is not allowed when
ztrunc=TRUE
.
A list with the following compoentns:
est |
a list of vectors or matrices of the estimates of canonical parameters. |
N |
Horvitz-Thompson estimates if
|
mui |
Estimate of the mean
parameter if |
inf |
a numeric
vector of length |
sup |
a numeric vector of
length |
inf.idx |
an index vector corresponding
to |
sup.idx |
an index
vector corresponding to |
delta |
the vector of imprecision |
Chel Hee Lee <gnustats@gmail.com>
Peter GM van der Heijden, Rami Bustami, Maarten JLF Cruyff, Godfried Engbersen and Hans C van Houwelingen (2003), Point and interval estimation of the population size using the truncated Poisson regression model, Statistical Modelling, 3, pp. 305-322.
Lee (2013) “Imprecise inferential framework”, PhD thesis.
Walley P (1991). _Statistical reasoning with imprecise probabilities_, series Monographs on statistics and applied probability. Chapman and Hall. ISBN 9780412286605, <URL: http://books.google.ca/books?id=Nk9Qons1kHsC>.
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