polr.synds | R Documentation |
Fits ordered logistic models to the synthesised data set(s)
using the polr
function.
polr.synds(formula, data, ...)
formula |
a symbolic description of the model to be estimated. A typical
model has the form |
data |
an object of class |
... |
additional parameters passed to |
To print the results the print function (print.fit.synds
) can
be used. The summary
function (summary.fit.synds
)
can be used to obtain the combined results of models fitted to each of the
m
synthetic data sets.
An object of class fit.synds
. It is a list with the following
components:
call |
the original call to |
mcoefavg |
combined (average) coefficient estimates. |
mvaravg |
combined (average) variance estimates of |
analyses |
an object summarising the fit to each synthetic data set
or a list of |
fitting.function |
function used to fit the model. |
n |
a number of cases in the original data. |
k |
a number of cases in the synthesised data. |
proper |
a logical value indicating whether synthetic data were generated using proper synthesis. |
m |
the number of synthetic versions of the observed data. |
method |
a vector of synthesising methods applied to each variable in the saved synthesised data. |
incomplete |
a logical value indicating whether the dependent variable in the model was not synthesised. |
mcoef |
a matrix of coefficients estimates from all |
mvar |
a matrix of variance estimates from all |
polr
, glm.synds
,
multinom.synds
, print.fit.synds
,
summary.fit.synds
, compare.fit.synds
ods <- SD2011[1:1000, c("sex", "age", "edu", "marital", "ls", "smoke")] s1 <- syn(ods, m = 3) f1 <- polr.synds(edu ~ sex + age, data = s1) summary(f1) print(f1, msel = 1:2) compare(f1, ods)
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