marginal_dist: A function to calculate the marginal distribution of y
In brunaw/hebart: Hierachical Embedded Bayesian Additive Regression Trees
marginal_dist R Documentation
A function to calculate the marginal distribution of y
Description
A function to calculate the marginal distribution of y
Usage
marginal_dist(y, k_1, k_2, M, mu_mu, alpha, beta)
Arguments
y
The y vector
k_1
The current value of k1
k_2
The current value of k2
M
The M matrix
mu_mu
The value for mu_mu (usually 0)
alpha
The alpha value from the prior of tau
beta
The beta value from the prior of tau
Value
The resulting value
Author(s)
Bruna Wundervald, brunadaviesw@gmail.com.
brunaw/hebart documentation built on June 1, 2022, 8:35 p.m.
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| marginal_dist | R Documentation |
A function to calculate the marginal distribution of y
Description
A function to calculate the marginal distribution of y
Usage
marginal_dist(y, k_1, k_2, M, mu_mu, alpha, beta)
Arguments
y |
The y vector |
k_1 |
The current value of k1 |
k_2 |
The current value of k2 |
M |
The M matrix |
mu_mu |
The value for mu_mu (usually 0) |
alpha |
The alpha value from the prior of tau |
beta |
The beta value from the prior of tau |
Value
The resulting value
Author(s)
Bruna Wundervald, brunadaviesw@gmail.com.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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