Nothing
# Solves system || y - Xb || -> min against b.
# Environment env is used to pass some useful data
# (such as last solution and Cholesky decomposition)
# between different calls of lmSolver.
lmSolver <- function(X, y, type = "Matrix", method = "cholesky", env = NULL, iterControl = list(maxiter = 20, tol = 1E-6), trace = TRUE) {
if (length(y) > nrow(X)) stop("y is too long in lmSolver...")
y <- c(y, rep(0, nrow(X) - length(y)))
if (type == "Matrix") {
if (method == "cholesky") {
result <- .solve.dgC.chol(t(X), y)
return(result$coef)
}
if (method == "qr") {
b <- solve(qr(X), y) # Not optimal
return(b)
}
stop("Unknown method in lmSolver...")
}
if (type == "iterative") {
if (method == "cg") {
f <- function(z) crossprod(X, X %*% z)
if (is.null(env) || is.null(env$L) || is.null(env$Lt) || is.null(env$P) || is.null(env$Pt)) {
invm <- 1 / colSums(X^2)
invf <- function(z) invm * z
} else {
invf <- function(z) solve(env$P, solve(env$Lt, solve(env$L, solve(env$Pt, z))))
}
Xty <- crossprod(X, y)
if (is.null(env) || is.null(env$b0)) {
b0 <- rep(0, length(Xty))
} else {
b0 <- env$b0
}
result <- olscg(FUN = f, y = Xty, b = b0, invFUN = invf, iterControl = iterControl, trace = trace)
return(result$b)
}
if (method == "cg-chol") {
if (is.null(env)) {
stop("env variable is NULL.")
}
if (is.null(env$L) ||
is.null(env$Lt) ||
is.null(env$P) ||
is.null(env$Pt)) {
result <- .solve.dgC.chol(t(X), y)
eL <- Matrix::expand(result$L)
env$L <- eL$L
env$Lt <- t(eL$L)
env$P <- eL$P
env$Pt <- t(eL$P)
env$b0 <- result$coef
return(result$coef)
} else {
f <- function(z) crossprod(X, X %*% z)
invf <- function(z) solve(env$P, solve(env$Lt, solve(env$L, solve(env$Pt, z))))
Xty <- crossprod(X, y)
if (is.null(env$b0)) {
b0 <- rep(0, length(Xty))
} else {
b0 <- env$b0
}
result <- olscg(FUN = f, y = Xty, b = b0, invFUN = invf, iterControl = iterControl, trace = trace)
return(result$b)
}
}
if (method == "lsmr-chol") {
if (is.null(env)) {
stop("env variable is NULL.")
}
if (is.null(env$L) ||
is.null(env$Lt) ||
is.null(env$P) ||
is.null(env$Pt)) {
result <- .solve.dgC.chol(t(X), y)
eL <- Matrix::expand(result$L)
env$L <- eL$L
env$Lt <- t(eL$L)
env$P <- eL$P
env$Pt <- t(eL$P)
env$b0 <- result$coef
return(result$coef)
} else {
A <- function(x, k) {
if (k == 1) {
return(X %*% solve(env$P, solve(env$Lt, x)))
} else {
return(solve(env$L, solve(env$Pt, crossprod(X, x))))
}
}
if (!is.null(env$b0)) {
x0 <- env$b0
} else {
x0 <- 0
}
result <- lsmr(A = A, b = y - X %*% x0, atol = iterControl$tol, btol = iterControl$tol, itnlim = iterControl$maxiter)
if (trace) {
cat("\nIterations: ")
cat(result$itn)
cat(" ")
}
return(solve(env$P, solve(env$Lt, result$x)) + x0)
}
}
if (method == "lsmr") {
D <- sqrt(colSums(X^2))
invD <- 1 / D
A <- function(x, k) {
if (k == 1) {
return(X %*% (invD * x))
} else {
return(invD * crossprod(X, x))
}
}
if (!is.null(env$b0)) {
x0 <- env$b0
} else {
x0 <- rep(0, ncol(X))
}
result <- lsmr(A = A, b = y - X %*% x0, atol = iterControl$tol, btol = iterControl$tol, itnlim = iterControl$maxiter)
if (trace) {
cat("\nIterations: ")
cat(result$itn)
cat(" ")
}
output <- invD * result$x + x0
if (!is.null(env)) {
env$b0 <- output
}
return(output)
}
stop("Unknown method in lmSolver...")
}
stop("Unknown type in lmSolver...")
}
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