gradient_xi: gradient w.r.t. xi
In feng-li/movingknots: Efficient Bayesian multivariate surface regression
View source: R/models__glm__glm_gradhess.R
Description
gradient w.r.t. xi
Usage
1
gradient_xi(Y, x, xi, l0, l, n0, S0, B, ka, gradient.prior.xi)
Arguments
Y
NA
x
NA
xi
NA
l0
NA
l
NA
n0
NA
S0
NA
B
NA
ka
NA
gradient.prior.xi
NA
Sigma
NA
link
NA
gradient.prior.Sigma
NA
gradient.prior.vecB
NA
Params
NA
hessMethod
NA
callParam
NA
splineArgs
NA
priorArgs
NA
Params_Transform
NA
feng-li/movingknots documentation built on March 30, 2021, 11:58 a.m.
R Package Documentation
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View source: R/models__glm__glm_gradhess.R
Description
gradient w.r.t. xi
Usage
1 | gradient_xi(Y, x, xi, l0, l, n0, S0, B, ka, gradient.prior.xi)
|
Arguments
Y |
NA |
x |
NA |
xi |
NA |
l0 |
NA |
l |
NA |
n0 |
NA |
S0 |
NA |
B |
NA |
ka |
NA |
gradient.prior.xi |
NA |
Sigma |
NA |
link |
NA |
gradient.prior.Sigma |
NA |
gradient.prior.vecB |
NA |
Params |
NA |
hessMethod |
NA |
callParam |
NA |
splineArgs |
NA |
priorArgs |
NA |
Params_Transform |
NA |
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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