Nothing
## ----include = FALSE----------------------------------------------------------
library(iprior)
## -----------------------------------------------------------------------------
data(tecator, package = "caret")
fat <- endpoints[, 2]
absorp <- -t(diff(t(absorp))) # take first differences
mod1 <- iprior(fat, absorp, train.samp = 1:172, method = "mixed")
## -----------------------------------------------------------------------------
get_prederror(mod1)
## ----eval = FALSE-------------------------------------------------------------
# (mod1.cv <- iprior_cv(fat, absorp, method = "em",
# control = list(stop.crit = 1e-2), folds = Inf))
## ----echo = FALSE-------------------------------------------------------------
data(tecator.cv, package = "iprior")
print(tecator.cv[[1]], "RMSE")
## ----eval = FALSE-------------------------------------------------------------
# mod2.cv <- iprior_cv(fat, absorp, method = "em", folds = Inf, kernel = "poly2",
# est.offset = TRUE, control = list(stop.crit = 1e-2))
# mod3.cv <- iprior_cv(fat, absorp, method = "em", folds = Inf, kernel = "poly3",
# est.offset = TRUE, control = list(stop.crit = 1e-2))
# mod4.cv <- iprior_cv(fat, absorp, method = "em", folds = Inf, kernel = "fbm",
# control = list(stop.crit = 1e-2))
# mod5.cv <- iprior_cv(fat, absorp, method = "em", folds = Inf, kernel = "fbm",
# est.hurst = TRUE, control = list(stop.crit = 1e-2))
# mod6.cv <- iprior_cv(fat, absorp, method = "em", folds = Inf, kernel = "se",
# est.lengthscale = TRUE, control = list(stop.crit = 1e-2))
#
# # Function to tabulate the results
# tecator_tab_cv <- function() {
# tab <- t(sapply(list(mod1.cv, mod2.cv, mod3.cv, mod4.cv, mod5.cv, mod6.cv),
# function(mod) {
# res <- as.numeric(apply(sqrt(mod$mse[, -1]), 2, mean))
# c("Training MSE" = res[1], "Test MSE" = res[2])
# }))
# rownames(tab) <- c("Linear", "Quadratic", "Cubic", "fBm-0.5", "fBm-MLE",
# "SE-MLE")
# tab
# }
## ----echo = FALSE-------------------------------------------------------------
knitr::kable(iprior::dec_plac(tecator.cv[[7]], 2), align = "r", caption = "Results for the LOOCV experiment for various I-prior models.")
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