Use t-dist
Add documentation for kernels, esp. factor ones
Add readme/documentation for trends
Speed up triangle, ratquad, periodic, powerexp k/grad
Knowledge gradient: multiple starts for optim
Plot2D: add axis names, either X1/X2 or colnames (need to add option to CF::gcf_grid) fix for factors
Make gpkm doc look good. Look into R7.
sparse pseudo-input GP. See Snelson 2006. Inherit. Change pred_one_matrix, deviance, etc.
Student-t process: Inherit, change pred and deviance.
kernel should take in X, Z and set params based on that. E.g., s2 max is diff(range(Z))^2. Or else give message to normalize.
Standardize for X.
change kernels to functions k_: documentation, tests, examples, readme
change trends from R6 to function t_
gpk$plot1D(ymax=1000) doesn't use ymax?
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