predict.cbmod {chainbinomial}

Predict Method for cbmod Fits

Description

Predict Method for cbmod Fits

Usage

## S3 method for class 'cbmod'
predict(object, x, type = "identity", ...)

Arguments

object

a fitted object of class inheriting from "cbmod".

x

matrix of predictors (design matrix). Must have the same column names and order as the x matrix used to fit the model.

type

the type of prediction, either 'link' (default) or 'sar'. The default is on the scale of the linear predictors. 'sar' gives the predicted secondary attack rate, by transforming the linear predictors by the inverse link function used in the model fit.

...

additional arguments.

Value

a vector of predictions.

Examples

set.seed(234)
mydata <- data.frame(infected = rchainbinom(n = 15, s0 = 5, sar = 0.2,
  i0 = 1, generations = Inf),
  s0 = 5, i0 = 1, generations = Inf)
xmat <- model.matrix(~ 1, data = mydata)
res <- cbmod(y = mydata$infected, s0 = mydata$s0, x = xmat, i0 = mydata$i0,
  generations = mydata$generations, link = 'identity')
summary(res)
predict(res, x = xmat, type = 'sar')