modello (version 0.1.1)

lkh.norm: Weighted Normal Likelihood for Independent Variables

Description

Calculates the weighted Normal Likelihood for independent variables $$lkh = \sum_i{w_i * ldnorm(y_i, \mu_i, \sigma_i)}$$

Usage

lkh.norm(y, mu, s, w = NULL)

Arguments

y

observations, a reference object of class 'number'

mu

mean, a refernce object of class 'number'

s

standard deviation, a reference object of class 'number'

w

weights, a reference object of class 'number'

Value

Returns a reference object of class 'number'

Examples

# NOT RUN {
modello.init(10, 10, 10, 10)
y = number(rnorm(10), dx=FALSE)
mu = number(rep(0, 10))
s = number(rep(1, 10))
w = number(runif(10))
lkh = lkh.norm(y, mu, s, w)
print(lkh)
print(lkh$v)
modello.close()
# }