tgp
function-- the generic interface to treed Gaussian process
modelingtgp.default.params(d)
dim(X)[2]
params
..."expsep"
separable power exponential family correlation model; alternate is "exp"
isotropic power family"bflat"
;
alternates include "b0"
hierarchical Normal prior,
"bmle"
empirical Bayes Normal prior, "bcart"
Bayesian linear CART style prior from Chipman et al, "b0tau"
a independent Normal prior with inverse-gamma variance.c(0.5,0.1,1.0,1.0)
starting values for range, nugget, s2, and tau2rep(0,d)
starting values for beta linear parametersc(0.25,2,10)
tree prior process parameterization
c(alpha, beta, minpart)
specifying
$$p_{\mbox{\tiny split}}(\eta, \mathcal{T}) =
\alpha*(1+\eta)^\beta$$
with zero probability to trees
with partitions containing less than minpart
data pointsc(5,10)
s2 inverse-gamma prior parameterization c(a0, g0)
where g0
is scale (1/rate) parameterc(5,10)
tau2 inverse-gamma prior parameterization c(a0, g0)
where g0
is scale (1/rate) parameterc(a1,g1,a2,g2)
where g1
and g2
are scale
(1/rate) parametersc(a1,g1,a2,g2)
where g1
and g2
are scale
(1/rate) parameters; default reduces to simple exponential priorc(10,0.2,10)
Limiting Linear model parameters c(g, t1, t2), with growth parameter g > 0
minimum parameter t1 >= 0
and maximum parameter t1 >= 0
, where
t1 + t2 <= 1<="" code=""> specifies
$$p(b|d)=t_1 +
\exp\left{\frac{-g(t_2-t_1)}{d-0.5}\right}$$=>
"fixed"
Hierarchical exponential distribution parameters to a1
, g1
,
a2
, and g2
of the prior distribution for the range parameter d.p
;
fixed indicates that the hierarchical prior is "turned off""fixed"
Hierarchical exponential distribution parameters to a1
, g1
,
a2
, and g2
of the prior distribution for the nug parameter nug.p
;
"fixed"
indicates that the hierarchical prior is "turned off"c(0.2,10)
Hierarchical exponential distribution prior for
a0
and g0
of the prior distribution for the s2 parameter s2.p
;
"fixed"
indicates that the hierarchical prior is "turned off"c(0.2,10)
Hierarchical exponential distribution prior for
a0
and g0
of the prior distribution for the s2 parameter tau2.p
;
"fixed"
indicates that the hierarchical prior is "turned off"Gramacy, R. B., Lee, H. K. H., & Macready, W. (2005). Adaptive Exploration of Computer Experiment Parameter Spaces. submitted to JCGS, available as UCSC Technical Report ams2005-16
Gramacy, R. B. & Lee, H. K. H. (2005). Gaussian Processes and Limiting Linear Models. available as UCSC Technical Report ams2005-17
tgp
, vignette("tgp")