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).
LMCondDistribution(Error = Norm(), theta = 0, intercept = 0, scale = 1)
Error |
Object of class |
theta |
numeric vector: regression parameter. |
intercept |
real number: intercept parameter. |
scale |
positive real number: scale parameter. |
Object of class "AbscontCondDistribution"
Matthias Kohl Matthias.Kohl@stamats.de
# 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})Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.