An internal function to gpdpgrow
1 2 3 
y 
An N x T matrix of N observations of T x 1 functions. 
ipr 
An optional input vector of inclusion probabilities for each observation unit in the case
the observed data were acquired through an informative sampling design, so that unbiased
inference about the population requires adjustments to the observed sample. Defaults to

Omega_t 
A T x T matrix of squared Eucidean distances for 
Omega_s 
A 
gp_mod 
An L x 1 numeric vector denoting the selected covariance function for each
of 
jitter 
Numeric value added to diagonals of GP covariance matrix to stabilize inversion. 
b_move 
An indicator in 
gp_shape 
The shape parameter of the Gamma base distribution for the 
gp_rate 
The rate parameter of the Gamma base distribution for the 
noise_shape 
The shape parameter of the Gamma base distribution on 
noise_rate 
The rate parameter of the Gamma base distribution on 
lower 
Minimum in range of support for GP covariance parameters, 
upper 
Maximum in range of support for GP covariance parameters, 
w_star 
Tuning parameter for number of locations to sample not linked to observations in the auxiliary Gibbs sampler for cluster assignments. 
w 
Tuning parameter for slice sampling interval width used for GP
covariance parameters, 
n_slice_iter 
Maximum number of steps to widen slice samplind width for
GP covariance parameters, 
y_index 
List object where each contains index of time points to use in 
n.iter 
The number of MCMC sampling iterations 
n.burn 
The number of warmup iterations to discard 
n.thin 
The interval or step size of postburnin samples to return 
n.tune 
The number of tuning iterations to update the slice sampler width, 
M_init 
Starting value of number of clusters for sampling cluster assignments. 
dp_shape 
The shape parameter for the Γ prior on the DP concentration parameter.
The rate parameter is set of 
dp_rate 
The rate parameter for the Γ prior on the DP concentration parameter.
Default value is 
progress 
An indicator in 
res A list object containing MCMC runs for all model parameters.
Intended as an internal function for gpdpgrow
Terrance Savitsky tds151@gmail.com
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