predict.blca: approximate predictive class probabilities for a new...
In zhenkewu/lotR: Latent class analysis with Observed Trees in R (lotR)
predict.blca R Documentation
approximate predictive class probabilities for a new observation
Description
approximate predictive class probabilities for a new observation
Usage
## S3 method for class 'blca'
predict(object, dat_pred = NULL, ...)
Arguments
object
An lcm_tree class object; Output from BayesLCA::blca()
dat_pred
a binary matrix with rows for observations and columns
for features (of the same dimension as in the training data)
...
Other parameters
Value
a matrix with the same number of rows as dat_pred and
K columns (K is the number of latent classes);
each row correspond to a vector of predicted probabilities of
an observation in each class.
zhenkewu/lotR documentation built on April 24, 2022, 2:36 a.m.
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| predict.blca | R Documentation |
approximate predictive class probabilities for a new observation
Description
approximate predictive class probabilities for a new observation
Usage
## S3 method for class 'blca' predict(object, dat_pred = NULL, ...)
Arguments
object |
An |
dat_pred |
a binary matrix with rows for observations and columns for features (of the same dimension as in the training data) |
... |
Other parameters |
Value
a matrix with the same number of rows as dat_pred and
K columns (K is the number of latent classes);
each row correspond to a vector of predicted probabilities of
an observation in each class.
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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