predict.gmjmcmc_merged {FBMS} | R Documentation |
Predict using a merged gmjmcmc result object.
Description
Predict using a merged gmjmcmc result object.
Usage
## S3 method for class 'gmjmcmc_merged'
predict(
object,
x,
link = function(x) x,
quantiles = c(0.025, 0.5, 0.975),
pop = NULL,
tol = 1e-07,
...
)
Arguments
object |
The model to use. |
x |
The new data to use for the prediction, a matrix where each row is an observation. |
link |
The link function to use |
quantiles |
The quantiles to calculate credible intervals for the posterior modes (in model space). |
pop |
The population to plot, defaults to last |
tol |
The tolerance to use for the correlation when finding equivalent features, default is 0.0000001 |
... |
Not used. |
Value
A list containing aggregated predictions and per model predictions.
aggr |
Aggregated predictions with mean and quantiles. |
preds |
A list of lists containing individual predictions per model per population in object. |
Examples
result <- gmjmcmc.parallel(
runs = 1,
cores = 1,
list(populations = "best", complex.measure = 2, tol = 0.0000001),
matrix(rnorm(600), 100),
P = 2,
gaussian.loglik,
loglik.alpha = gaussian.loglik.alpha,
c("p0", "exp_dbl")
)
preds <- predict(result, matrix(rnorm(600), 100))
[Package FBMS version 1.1 Index]