-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Eric Weine
committed
Jul 24, 2024
1 parent
a7213b4
commit 7c27e4e
Showing
1 changed file
with
79 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,79 @@ | ||
project_onto_U <- function( | ||
fit0, | ||
new_Y, | ||
new_Z, | ||
new_fixed_B | ||
) { | ||
|
||
n <- nrow(new_Y) | ||
m <- ncol(new_Y) | ||
K <- ncol(fit0$U) | ||
|
||
new_V <- matrix( | ||
data = rnorm(m * K, sd = 1e-3), | ||
nrow = m, | ||
ncol = K | ||
) | ||
|
||
# here I need to integrate the new fixed b with the old fit | ||
# add new size factors | ||
new_B <- matrix(log(Matrix::colMeans(new_Y))) | ||
colnames(new_B) <- "col_size_factor" | ||
n_b <- 1 | ||
|
||
LL <- t(cbind(fit0$U %*% diag(sqrt(fit0$d)),fit0$X,fit0$W)) | ||
FF <- t(cbind(new_V %*% diag(sqrt(fit0$d)),new_B,new_Z)) | ||
|
||
update_indices_f <- 1:K | ||
|
||
FFnew <- matrix(FF,nrow(FF),m) | ||
# Now, project onto U... | ||
update_factors_faster_parallel( | ||
L_T = t(LL), | ||
FF = FFnew, | ||
M = as.matrix(LL[update_indices_f,,drop = FALSE] %*% new_Y), | ||
update_indices = update_indices_f - 1, | ||
num_iter = 1000, | ||
line_search = TRUE, | ||
alpha = .01, | ||
beta = .25 | ||
) | ||
|
||
FF <- FFnew | ||
|
||
# now, I need to orthonormalize the entire fit | ||
fit <- list() | ||
|
||
fit$U <- t(LL[1:K,, drop = FALSE]) | ||
fit$V <- t(FF[1:K,, drop = FALSE]) | ||
|
||
# I need to add back the dimnames here | ||
fit$V <- rbind(fit$V, fit0$V %*% diag(sqrt(fit0$d))) | ||
|
||
fit <- orthonormalize_fit(fit) | ||
fit$W <- fit0$W | ||
fit$X <- fit0$X | ||
fit$Z <- rbind(new_Z, fit0$Z) | ||
fit$B <- rbind(new_B, fit0$B) | ||
|
||
rownames(fit$U) <- rownames(fit0$U) | ||
colnames(fit$U) <- colnames(fit0$U) | ||
|
||
rownames(fit$V) <- c(colnames(new_Y), rownames(fit0$V)) | ||
colnames(fit$V) <- colnames(fit0$V) | ||
|
||
rownames(fit$W) <- rownames(fit0$W) | ||
colnames(fit$W) <- colnames(fit0$W) | ||
|
||
rownames(fit$Z) <- c(colnames(new_Y), rownames(fit0$Z)) | ||
colnames(fit$Z) <- colnames(fit0$Z) | ||
|
||
rownames(fit$B) <- c(colnames(new_Y), rownames(fit0$B)) | ||
colnames(fit$B) <- colnames(fit0$B) | ||
|
||
rownames(fit$X) <- rownames(fit0$X) | ||
colnames(fit$X) <- colnames(fit0$X) | ||
|
||
return(fit) | ||
|
||
} |