Thrombin_Analyzer: Thrombin Analyzer

################################################################################
TG$set(
    which = "public", name = "get_A2mT_vel",
    value = compiler::cmpfun(
        f = function(tg.model) {
            switch(tg.model,
                   "None" = {
                       return(rep(0, length(data$x)));
                   },
                   "Gamma" = {
                       if (!exists(x = "Gamma", where = fit))
                           warning(">> fit$Gamma does not exist!");
                       return(rep(0, length(data$x)));
                   },
                   "T0Gamma" = {
                       if (!exists(x = "T0Gamma", where = fit))
                           warning(">> fit$T0Gamma does not exist!");
                       return(rep(0, length(data$x)));
                   },
                   "GammaInt" = {
                       if (exists(x = "GammaInt", where = fit)) {
                           A <- fit$GammaInt$cff[["A"]]; k <- fit$GammaInt$cff[["k"]];
                           theta <- fit$GammaInt$cff[["theta"]]; k.a2m <- fit$GammaInt$cff[["k.a2m"]];
                           v <- k.a2m * A * dgamma(x = data$x, shape = k, scale = theta);
                           ## v[data$x == 0] <- 0;
                           return(v);
                       } else {
                           warning(">> fit$GammaInt does not exist!");
                           return(rep(0, length(data$x)));
                       }
                   },
                   "T0GammaInt" = {
                       if (exists(x = "T0GammaInt", where = fit)) {
                           A <- fit$T0GammaInt$cff[["A"]]; k <- fit$T0GammaInt$cff[["k"]];
                           theta <- fit$T0GammaInt$cff[["theta"]]; k.a2m <- fit$T0GammaInt$cff[["k.a2m"]];
                           t0 <- fit$T0GammaInt$cff[["t0"]];
                           v <- k.a2m * A * dgamma(x = data$x - t0, shape = k, scale = theta);
                           ## v[data$x == 0] <- 0;
                           return(v);
                       } else {
                           warning(">> fit$T0GammaInt does not exist!");
                           return(rep(0, length(data$x)));
                       }
                   },
                   "T0GammaInt2" = {
                       if (exists(x = "T0GammaInt2", where = fit)) {
                           A1 <- fit$T0GammaInt2$cff[["A1"]]; A2 <- fit$T0GammaInt2$cff[["A2"]];
                           k1 <- fit$T0GammaInt2$cff[["k1"]]; k2 <- fit$T0GammaInt2$cff[["k2"]];
                           theta <- fit$T0GammaInt2$cff[["theta"]]; k.a2m <- fit$T0GammaInt2$cff[["k.a2m"]];
                           t0 <- fit$T0GammaInt2$cff[["t0"]];
                           v <- k.a2m * A1 * dgamma(x = data$x - t0, shape = k1, scale = theta) +
                               k.a2m * A2 * dgamma(x = data$x - t0, shape = k2, scale = theta);
                           ## v[data$x == 0] <- 0;
                           return(v);
                       } else {
                           warning(">> fit$T0GammaInt2 does not exist!");
                           return(rep(0, length(data$x)));
                       }
                   },
                   "LateExpT0GammaInt" = {
                       if (exists(x = "LateExpT0GammaInt", where = fit)) {
                           A <- fit$LateExpT0GammaInt$cff[["A"]]; k <- fit$LateExpT0GammaInt$cff[["k"]];
                           theta <- fit$LateExpT0GammaInt$cff[["theta"]]; k.a2m <- fit$LateExpT0GammaInt$cff[["k.a2m"]];
                           t0 <- fit$LateExpT0GammaInt$cff[["t0"]]; p1 <- fit$LateExpT0GammaInt$cff[["p1"]];
                           v <- p1 * k.a2m * A * dgamma(x = data$x - t0, shape = k, scale = theta);
                           ## v[data$x == 0] <- 0;
                           return(v);
                       } else {
                           warning(">> fit$LateExpT0GammaInt does not exist!");
                           return(rep(0, length(data$x)));
                       }
                   },
                   "LateExpT0GammaInt2" = {
                       if (exists(x = "LateExpT0GammaInt2", where = fit)) {
                           p1 <- fit$LateExpT0GammaInt2$cff[["p1"]];
                           A1 <- fit$LateExpT0GammaInt2$cff[["A1"]];
                           k1 <- fit$LateExpT0GammaInt2$cff[["k1"]];
                           A2 <- fit$LateExpT0GammaInt2$cff[["A2"]];
                           k2 <- fit$LateExpT0GammaInt2$cff[["k2"]];
                           theta <- fit$LateExpT0GammaInt2$cff[["theta"]];
                           k.a2m <- fit$LateExpT0GammaInt2$cff[["k.a2m"]];
                           t0 <- fit$LateExpT0GammaInt2$cff[["t0"]];

                           v <- p1 * k.a2m * (
                               A1 * dgamma(x = data$x - t0, shape = k1,
                                           scale = theta) +
                               A2 * dgamma(x = data$x - t0, shape = k2,
                                           scale = theta)
                           );
                           ## v[data$x == 0] <- 0;
                           return(v);
                       } else {
                           warning(">> fit$LateExpT0GammaInt2 does not exist!");
                           return(rep(0, length(data$x)));
                       }
                   },
                   "Auto" = {
                       if (exists(x = "Auto", where = fit)) {
                           return(get_A2mT_vel(fit$Auto_model));
                       } else {
                           warning(">> fit$Auto does not exist!");
                           return(rep(0, length(data$x)));
                       }
                   },
                   {  ## Default
                       warning(paste0(">> Call to unknown tg.model ", tg.model));
                       return(rep(NA_real_, length(data$x)));
                   }
                   );  ## End of switch(tg.model)
        }, options = kCmpFunOptions),
    overwrite = FALSE);  ## End of TG$get_A2mT_vel
################################################################################

## ################################################################################
## ######################################## Legacy RF classes code
## ################################################################################

## ################################################################################
## TG.get_A2mT_vel <- function(tg.model) {
##     switch(tg.model,
##            "None" = {
##                return(rep(0, length(data$x)));
##            },
##            "Gamma" = {
##                if (!exists(x = "Gamma", where = fit))
##                    warning(">> fit$Gamma does not exist!");
##                return(rep(0, length(data$x)));
##            },
##            "T0Gamma" = {
##                if (!exists(x = "T0Gamma", where = fit))
##                    warning(">> fit$T0Gamma does not exist!");
##                return(rep(0, length(data$x)));
##            },
##            "GammaInt" = {
##                if (exists(x = "GammaInt", where = fit)) {
##                    A <- fit$GammaInt$cff[["A"]]; k <- fit$GammaInt$cff[["k"]];
##                    theta <- fit$GammaInt$cff[["theta"]]; k.a2m <- fit$GammaInt$cff[["k.a2m"]];
##                    v <- k.a2m * A * dgamma(x = data$x, shape = k, scale = theta);
##                    ## v[data$x == 0] <- 0;
##                    return(v);
##                } else {
##                    warning(">> fit$GammaInt does not exist!");
##                    return(rep(0, length(data$x)));
##                }
##            },
##            "T0GammaInt" = {
##                if (exists(x = "T0GammaInt", where = fit)) {
##                    A <- fit$T0GammaInt$cff[["A"]]; k <- fit$T0GammaInt$cff[["k"]];
##                    theta <- fit$T0GammaInt$cff[["theta"]]; k.a2m <- fit$T0GammaInt$cff[["k.a2m"]];
##                    t0 <- fit$T0GammaInt$cff[["t0"]];
##                    v <- k.a2m * A * dgamma(x = data$x - t0, shape = k, scale = theta);
##                    ## v[data$x == 0] <- 0;
##                    return(v);
##                } else {
##                    warning(">> fit$T0GammaInt does not exist!");
##                    return(rep(0, length(data$x)));
##                }
##            },
##            "T0GammaInt2" = {
##                if (exists(x = "T0GammaInt2", where = fit)) {
##                    A1 <- fit$T0GammaInt2$cff[["A1"]]; A2 <- fit$T0GammaInt2$cff[["A2"]];
##                    k1 <- fit$T0GammaInt2$cff[["k1"]]; k2 <- fit$T0GammaInt2$cff[["k2"]];
##                    theta <- fit$T0GammaInt2$cff[["theta"]]; k.a2m <- fit$T0GammaInt2$cff[["k.a2m"]];
##                    t0 <- fit$T0GammaInt2$cff[["t0"]];
##                    v <- k.a2m * A1 * dgamma(x = data$x - t0, shape = k1, scale = theta) +
##                        k.a2m * A2 * dgamma(x = data$x - t0, shape = k2, scale = theta);
##                    ## v[data$x == 0] <- 0;
##                    return(v);
##                } else {
##                    warning(">> fit$T0GammaInt2 does not exist!");
##                    return(rep(0, length(data$x)));
##                }
##            },
##            "LateExpT0GammaInt" = {
##                if (exists(x = "LateExpT0GammaInt", where = fit)) {
##                    A <- fit$LateExpT0GammaInt$cff[["A"]]; k <- fit$LateExpT0GammaInt$cff[["k"]];
##                    theta <- fit$LateExpT0GammaInt$cff[["theta"]]; k.a2m <- fit$LateExpT0GammaInt$cff[["k.a2m"]];
##                    t0 <- fit$LateExpT0GammaInt$cff[["t0"]]; p1 <- fit$LateExpT0GammaInt$cff[["p1"]];
##                    v <- p1 * k.a2m * A * dgamma(x = data$x - t0, shape = k, scale = theta);
##                    ## v[data$x == 0] <- 0;
##                    return(v);
##                } else {
##                    warning(">> fit$LateExpT0GammaInt does not exist!");
##                    return(rep(0, length(data$x)));
##                }
##            },
##            "Auto" = {
##                if (exists(x = "Auto", where = fit)) {
##                    return(get_A2mT_vel(fit$Auto_model));
##                } else {
##                    warning(">> fit$Auto does not exist!");
##                    return(rep(0, length(data$x)));
##                }
##            },
##            {  ## Default
##                warning(paste0(">> Call to unknown tg.model ", tg.model));
##                return(rep(0, length(data$x)));
##            }
##            );  ## End of switch(tg.model)
## }  ## End of TG.get_A2mT_vel
## ################################################################################

## ################################################################################
## ######################################## End of Legacy RF classes code
## ################################################################################