Mean function

Transform the linear predictor to predicted values/probabilities.

Usage

.mean_function(x, family)

Arguments

x

numeric vector of length \(n\)

family

character string "gaussian", "binomial", "poisson", or "cox"

Value

Returns a numeric vector of length \(n\).

Examples

x <- rnorm(n = 10L)
.mean_function(x, family = "binomial")
#>  [1] 0.3987606 0.5251807 0.7151961 0.8114708 0.4020712 0.3815242 0.4215974
#>  [8] 0.7702996 0.3201722 0.3431547
.mean_function(x, family = "poisson")
#>  [1] 0.6632311 1.1060646 2.5111874 4.3042169 0.6724399 0.6168781 0.7288997
#>  [8] 3.3534979 0.4709607 0.5224284