Nothing
fix.coef <- function(model, beta = NULL) {
oldcoef <- tidy.coef(model)
if (is.null(beta)) beta <- oldcoef
if (length(oldcoef) != length(beta))
stop("incorrect length of 'beta'", call. = FALSE)
# handle naming
if (is.null(names(oldcoef)))
names(oldcoef) <- make.names(seq_along(oldcoef))
if (is.null(names(beta))) names(beta) <- names(oldcoef)
else {
diff <- setdiff(names(oldcoef), names(beta))
if (length(diff) > 0)
stop("names not found in 'beta': ", diff, call. = FALSE)
diff <- setdiff(names(beta), names(oldcoef))
if (length(diff) > 0)
stop("names not found in 'coef(model)': ", diff, call. = FALSE)
}
beta <- beta[names(oldcoef)]
# re-calculate model for new beta's
data <- model.frame(formula = formula(model), data = model.frame(model))
mm <- model.matrix(formula(model, fixed.only = TRUE), data = data)
offset <- as.vector(mm %*% beta)
uf <- . ~ 1
if (inherits(model, "merMod")) uf <- formula(model, random.only = TRUE)
upd <- update(model, formula. = uf,
data = cbind(data, offset = offset),
offset = offset)
upd
}
tidy.coef <- function(model) {
est <- tidy(model, effects = "fixed")
coef <- est$estimate
names(coef) <- est$term
coef
}
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