R-experts,
I still can't get the nonparametric studentized bootstrapped CIs. How can I
solve the problem ?
Here is the reproducible example :
# # # # # # # # # # # # # # # #
library(ISLR)
library(earth)
library(boot)
# function to obtain MSE
MSE <- function(data, indices, formula) {
d
Great, many thanks Rui, it perfectly works.
Best,
Le jeudi 22 novembre 2018 à 23:45:15 UTC+1, Rui Barradas
a écrit :
Hello,
Sorry, there's a close parenthesis too many in the call to boot, the
very last one.
Delete it and it runs with no errors.
Rui Barradas
Às 21:55 de 22/11/2
Hello,
Sorry, there's a close parenthesis too many in the call to boot, the
very last one.
Delete it and it runs with no errors.
Rui Barradas
Às 21:55 de 22/11/2018, Rui Barradas escreveu:
Hello,
There were several errors with your code. The following works but with
the other CI types.
Hello,
There were several errors with your code. The following works but with
the other CI types.
library(ISLR)
library(mgcv)
library(boot)
# function to obtain MSE
MSE <- function(data, indices, formula) {
d <- data[indices, ] # allows boot to select sample
fit <- gam(formula, data = d)
Dear R-experts,
I am trying to get the bootstrapped confidence intervals of Mean squared error
(MSE) for a (G)AM model. I get an error message.
Here below the reproducible R code. Many thanks for your response.
install.packages("ISLR")
library(ISLR)
install.packages("mgc
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