Prediction from a fitted bayes_fosr model
Takes a fitted fosr-object produced by bayes_fosr and produces predictions given a
new set of values for the model covariates or the original values used for the model fit.
## S3 method for class 'fosr' predict(object, newdata, ...)
object |
a fitted |
newdata |
a named list containing the values of the model covariates at which predictions are required. If this is not provided then predictions corresponding to the original data are returned. All variables provided to newdata should be in the format supplied to the model fitting function. |
... |
additional (unused) arguments |
...
Jeff Goldsmith jeff.goldsmith@columbia.edu
## Not run:
library(reshape2)
library(dplyr)
library(ggplot2)
##### Cross-sectional real-data example #####
## organize data
data(DTI)
DTI = subset(DTI, select = c(cca, case, pasat))
DTI = DTI[complete.cases(DTI),]
DTI$gender = factor(sample(c("male","female"), dim(DTI)[1], replace = TRUE))
DTI$status = factor(sample(c("RRMS", "SPMS", "PPMS"), dim(DTI)[1], replace = TRUE))
## fit models
VB = bayes_fosr(cca ~ pasat, data = DTI, Kp = 4, Kt = 10)
## obtain predictions
pred = predict(VB, sample_n(DTI, 10))
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