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#' Create degradation functions for known analytical solutions
#'
#' @param spec List of model specifications as contained in mkinmod objects
#' @param use_of_ff Minimum or maximum use of formation fractions
#' @return Degradation function to be attached to mkinmod objects
#' @examples
#'
#' SFO_SFO <- mkinmod(
#' parent = mkinsub("SFO", "m1"),
#' m1 = mkinsub("SFO"))
#' FOCUS_D <- subset(FOCUS_2006_D, value != 0) # to avoid warnings
#' fit_1 <- mkinfit(SFO_SFO, FOCUS_D, solution_type = "analytical", quiet = TRUE)
#' fit_2 <- mkinfit(SFO_SFO, FOCUS_D, solution_type = "deSolve", quiet = TRUE)
#' \dontrun{
#' if (require(rbenchmark))
#' benchmark(
#' analytical = mkinfit(SFO_SFO, FOCUS_D, solution_type = "analytical", quiet = TRUE),
#' deSolve = mkinfit(SFO_SFO, FOCUS_D, solution_type = "deSolve", quiet = TRUE),
#' replications = 1)
#' }
create_deg_func <- function(spec, use_of_ff = c("min", "max")) {
use_of_ff <- match.arg(use_of_ff)
min_ff <- use_of_ff == "min"
obs_vars <- names(spec)
parent <- obs_vars[1]
parent_type <- spec[[1]]$type
supported <- TRUE # This may be modified below
predicted_text <- character(0)
predicted_text[parent] <- paste0(parent_type, ".solution(t, odeini['", parent,
if (parent_type == "SFORB") "_free", "'], ",
switch(parent_type,
SFO = paste0("k_", parent, if (min_ff) "_sink" else "", ")"),
FOMC = "alpha, beta)",
IORE = paste0("k__iore_", parent, if (min_ff) "_sink" else "", ", N_", parent, ")"),
DFOP = "k1, k2, g)",
SFORB = paste0("k_", parent, "_free_bound, k_", parent, "_bound_free, k_", parent, "_free", if (min_ff) "_sink" else "", ")"),
HS = "k1, k2, tb)",
logistic = "kmax, k0, r)"
)
)
if (length(obs_vars) >= 2) {
supported <- FALSE # except for the following cases
n1 <- obs_vars[1]
n2 <- obs_vars[2]
n10 <- paste0("odeini['", parent, "']")
n20 <- paste0("odeini['", n2, "']")
if (all(use_of_ff == "max", spec[[1]]$sink == TRUE, length(obs_vars) == 2,
spec[[1]]$type == "SFO", spec[[2]]$type == "SFO")) {
supported <- TRUE
k1 <- paste0("k_", n1)
k2 <- paste0("k_", n2)
f12 <- paste0("f_", n1, "_to_", n2)
if (parent_type == "SFO") {
predicted_text[n2] <- paste0(
"(((", k2, "-", k1, ")*", n20, "-", f12, "*", k1, "*", n10, ")*exp(-", k2, "*t)+",
f12, "*", k1, "*", n10, "*exp(-", k1, "*t))/(", k2, "-", k1, ")")
}
}
}
if (supported) {
deg_func <- function(observed, odeini, odeparms) {}
f_body <- paste0("{\n",
"predicted <- numeric(0)\n",
"with(as.list(odeparms), {\n")
for (obs_var in obs_vars) {
f_body <- paste0(f_body,
"t <- observed[observed$name == '", obs_var, "', 'time']\n",
"predicted <<- c(predicted, ", predicted_text[obs_var], ")\n")
}
f_body <- paste0(f_body,
"})\n",
"return(predicted)\n}\n")
body(deg_func) <- parse(text = f_body)
return(deg_func)
} else {
return(NULL)
}
}
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