dot-cens.draw3: Base function for imputing left censored data with MICE
In LilithF/doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning
Description
Usage
Arguments
Value
Description
from Lapidus et al.
Usage
1
.cens.draw3(y, ry, x, lod.j = lod.j, ...)
Arguments
y
Vector to be imputed
ry
Logical vector of length length(y) indicating the the subset
y[ry] of elements in y to which the imputation model is fitted.
The ry generally distinguishes the observed (TRUE) and
missing values (FALSE) in y.
x
Numeric design matrix with length(y) rows with predictors
for y. Matrix x may have no missing values.
lod.j
censoring value.
...
Other named arguments.
Value
parameters
LilithF/doMIsaul documentation built on Dec. 17, 2021, 12:08 a.m.
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Description Usage Arguments Value
Description
from Lapidus et al.
Usage
1 | .cens.draw3(y, ry, x, lod.j = lod.j, ...)
|
Arguments
y |
Vector to be imputed |
ry |
Logical vector of length |
x |
Numeric design matrix with |
lod.j |
censoring value. |
... |
Other named arguments. |
Value
parameters
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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