sequentialGfaPrediction: Sequential prediction of new samples from observed data views...
In GFA: Group Factor Analysis
View source: R/sequentialGfaPrediction.R
sequentialGfaPrediction R Documentation
Sequential prediction of new samples from observed data views to unobserved
Description
sequentialGfaPrediction returns predictions for unobserved data
sources of a new set of data samples.
Usage
sequentialGfaPrediction(Y, model)
Arguments
Y
The new data samples, in a similar format as in function
gfa
model
The sampled model from function gfa, with
model$opts$predict being a logical vector with the length matching the
length of Y, describing which data views will be predicted (TRUE), and
which have been observed (FALSE).
Value
A list containing the predictions, with the observed
data sources empty. Additionally, sampling MSE is given as element 'mse',
and likelihood as 'cost'.
GFA documentation built on Oct. 21, 2023, 5:06 p.m.
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View source: R/sequentialGfaPrediction.R
| sequentialGfaPrediction | R Documentation |
Sequential prediction of new samples from observed data views to unobserved
Description
sequentialGfaPrediction returns predictions for unobserved data
sources of a new set of data samples.
Usage
sequentialGfaPrediction(Y, model)
Arguments
Y |
The new data samples, in a similar format as in function
|
model |
The sampled model from function |
Value
A list containing the predictions, with the observed data sources empty. Additionally, sampling MSE is given as element 'mse', and likelihood as 'cost'.
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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