LMCondDistribution

0th

Percentile

Generating function for the conditional distribution of a linear regression model.

Generates an object of class "AbscontCondDistribution" which is the conditional distribution of a linear regression model (given the regressor).

Keywords
models, distribution
Usage
LMCondDistribution(Error = Norm(), theta = 0, intercept = 0, scale = 1)
Arguments
Error

Object of class "AbscontDistribution": error distribution.

theta

numeric vector: regression parameter.

intercept

real number: intercept parameter.

scale

positive real number: scale parameter.

Value

Object of class "AbscontCondDistribution"

See Also

AbscontCondDistribution-class, E-methods

Aliases
  • LMCondDistribution
Examples
# NOT RUN {
# normal error distribution
(D1 <- LMCondDistribution(theta = 1)) # corresponds to Norm(cond, 1)
plot(D1)
r(D1)
d(D1)
p(D1)
q(D1)
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
param(D1)
cond(D1)

d(D1)(0, cond = 1)
d(Norm(mean=1))(0)

E(D1, cond = 1)
E(D1, function(x){x^2}, cond = 2)
E(Norm(mean=2), function(x){x^2})
# }
Documentation reproduced from package distrEx, version 2.8.0, License: LGPL-3

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