Displaying 4 results from an estimated 4 matches for "spm2".
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2023 Oct 23
2
running crossvalidation many times MSE for Lasso regression
For what it's worth it looks like spm2 is specifically for *spatial*
predictive modeling; presumably its version of CV is doing something
spatially aware.
I agree that glmnet is old and reliable. One might want to use a
tidymodels wrapper to create pipelines where you can more easily switch
among predictive algorithms (see the...
2023 Oct 23
1
running crossvalidation many times MSE for Lasso regression
...#39;numeric')"
> mean(unlist(lst))
[1] NA
Warning message:
In mean.default(unlist(lst)) :
? argument is not numeric or logical: returning NA
Le lundi 23 octobre 2023 ? 19:59:15 UTC+2, Ben Bolker <bbolker at gmail.com> a ?crit :
? For what it's worth it looks like spm2 is specifically for *spatial*
predictive modeling; presumably its version of CV is doing something
spatially aware.
? I agree that glmnet is old and reliable.? One might want to use a
tidymodels wrapper to create pipelines where you can more easily switch
among predictive algorithms (see the `...
2023 Oct 24
1
running crossvalidation many times MSE for Lasso regression
...fault(unlist(lst)) :
> ? argument is not numeric or logical: returning NA
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> Le lundi 23 octobre 2023 ? 19:59:15 UTC+2, Ben Bolker <bbolker at gmail.com> a ?crit :
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> ? For what it's worth it looks like spm2 is specifically for *spatial*
> predictive modeling; presumably its version of CV is doing something
> spatially aware.
>
> ? I agree that glmnet is old and reliable.? One might want to use a
> tidymodels wrapper to create pipelines where you can more easily switch
> among predi...
2005 Feb 18
1
Two-factorial Huynh-Feldt-Test
...ow I could do this, where I could
find information about it etc? Google doesn't help much except more SAS
examples...:-(
hf <- function(mtxCov,ncol,nrow) {
X <- mtxCov*(nrow-1)
r <- length(X[,1])
D <- 0
for (i in 1: r) D<- D+ X[i,i]
D <- D/r
SPm <- mean(X)
SPm2 <- sum(X^2)
SSrm <- 0
for (i in 1: r) SSrm<- SSrm + mean(X[i,])^2
epsilon <- (ncol^2*(D-SPm)^2) / ((ncol-1) * (SPm2 - 2*ncol*SSrm +
ncol^2*SPm^2))
print(epsilon)
}
# 2. do variance-covariance matrices for conditions first
avCov2 <- matrix(rep(0,36),ncol=length(unique( roi )...