fn.grads: Computes the gradients in the linear regression MCMC
In jrlewi/brlm: Bayesian Restricted Likelihood Methods
Description
Computes the gradients in the linear regression MCMC
Usage
1
fn.grads(y, X, l1obs, s1obs, fn.psi = fn.psi.huber, fn.chi = fn.chi.prop2)
Arguments
y
numeric vector of responses
X
design Matrix
l1obs, s1obs
observed value of slope and scale statistics
fn.psi
psi function for M-estimation
fn.chi
chi function for M-estimation
jrlewi/brlm documentation built on March 17, 2021, 1:10 a.m.
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Description
Computes the gradients in the linear regression MCMC
Usage
1 | fn.grads(y, X, l1obs, s1obs, fn.psi = fn.psi.huber, fn.chi = fn.chi.prop2)
|
Arguments
y |
numeric vector of responses |
X |
design Matrix |
l1obs, s1obs |
observed value of slope and scale statistics |
fn.psi |
psi function for M-estimation |
fn.chi |
chi function for M-estimation |
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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