modello (version 0.1.1)

ldnorm.modello_number: Normal Distribution: log-density

Description

Considering a Normal Distribution calculates the log-density $$ld = -log(\sigma) - 0.5 * log(2 * \pi) - 0.5 * ((y - \mu) / \sigma)^2$$

Usage

# S3 method for modello_number
ldnorm(y, mu, s)
# S3 method for default
ldnorm(y, mu, s)
ldnorm(y, mu, s)

Arguments

y

observations, numeric or reference object of class 'number'

mu

mean, numeric of reference object of class 'number'

s

standard deviation, numeric of reference object of class 'number'

Value

Returns a 'numeric' or a reference object of class 'number'

Examples

# NOT RUN {
modello.init(10, 10, 10, 10)
## For modello_numbers
y = number(rnorm(10))
ld = ldnorm(y, .k(0), .k(1))
print(ld)
print(ld$v)
modello.close()
## For numerics
y = rnorm(10)
ld = ldnorm(y, 0, 1)
print(ld) 
# }