aboutsummaryrefslogtreecommitdiff
path: root/R/endpoints.R
blob: 001595bc7006ce734144498c8cfe29b9941f30f0 (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
endpoints <- function(fit) {
  # Calculate dissipation times DT50 and DT90 and formation
  # fractions as well as SFORB eigenvalues from optimised parameters
  # Additional DT50 values are calculated from the FOMC DT90 and k1 and k2 from
  # HS and DFOP, as well as from Eigenvalues b1 and b2 of any SFORB models
  ep <- list()
  obs_vars <- fit$obs_vars
  parms.all <- c(fit$bparms.optim, fit$bparms.fixed)
  ep$ff <- vector()
  ep$SFORB <- vector()
  ep$distimes <- data.frame(DT50 = rep(NA, length(obs_vars)), 
			    DT90 = rep(NA, length(obs_vars)), 
    row.names = obs_vars)
  for (obs_var in obs_vars) {
    type = names(fit$mkinmod$map[[obs_var]])[1]  

    # Get formation fractions if directly fitted, and calculate remaining fraction to sink
    f_names = grep(paste("f", obs_var, sep = "_"), names(parms.all), value=TRUE)
    if (length(f_names) > 0) {
      f_values = parms.all[f_names]
      f_to_sink = 1 - sum(f_values)
      names(f_to_sink) = ifelse(type == "SFORB", 
                              paste(obs_var, "free", "sink", sep = "_"), 
                              paste(obs_var, "sink", sep = "_"))
      for (f_name in f_names) {
        ep$ff[[sub("f_", "", sub("_to_", "_", f_name))]] = f_values[[f_name]]
      }
      ep$ff = append(ep$ff, f_to_sink)
    }

    # Get the rest
    if (type == "SFO") {
      k_names = grep(paste("k", obs_var, sep="_"), names(parms.all), value=TRUE)
      k_tot = sum(parms.all[k_names])
      DT50 = log(2)/k_tot
      DT90 = log(10)/k_tot
      if (fit$mkinmod$use_of_ff == "min") {
        for (k_name in k_names)
        {
          ep$ff[[sub("k_", "", k_name)]] = parms.all[[k_name]] / k_tot
        }
      }
    }
    if (type == "FOMC") {
      alpha = parms.all["alpha"]
      beta = parms.all["beta"]
      DT50 = beta * (2^(1/alpha) - 1)
      DT90 = beta * (10^(1/alpha) - 1)
      DT50_back = DT90 / (log(10)/log(2)) # Backcalculated DT50 as recommended in FOCUS 2011
      ep$distimes[obs_var, c("DT50back")] = DT50_back
    }
    if (type == "IORE") {
      k_names = grep(paste("k__iore", obs_var, sep="_"), names(parms.all), value=TRUE)
      k_tot = sum(parms.all[k_names])
      # From the NAFTA kinetics guidance, p. 5
      n = parms.all[paste("N", obs_var, sep = "_")]
      k = k_tot
      # Use the initial concentration of the parent compound
      source_name = fit$mkinmod$map[[1]][[1]]
      c0 = parms.all[paste(source_name, "0", sep = "_")]
      alpha = 1 / (n - 1)
      beta = (c0^(1 - n))/(k * (n - 1))
      DT50 = beta * (2^(1/alpha) - 1)
      DT90 = beta * (10^(1/alpha) - 1)
      DT50_back = DT90 / (log(10)/log(2)) # Backcalculated DT50 as recommended in FOCUS 2011
      ep$distimes[obs_var, c("DT50back")] = DT50_back
      if (fit$mkinmod$use_of_ff == "min") {
        for (k_name in k_names)
        {
          ep$ff[[sub("k_", "", k_name)]] = parms.all[[k_name]] / k_tot
        }
      }
    }
    if (type == "DFOP") {
      k1 = parms.all["k1"]
      k2 = parms.all["k2"]
      g = parms.all["g"]
      f <- function(t, x) {
        fraction <- g * exp( - k1 * t) + (1 - g) * exp( - k2 * t)
        (fraction - (1 - x/100))^2
      }
      DTmax <- 1000
      DT50.o <- optimize(f, c(0.001, DTmax), x=50)$minimum
      DT50 = ifelse(DTmax - DT50.o < 0.1, NA, DT50.o)
      DT90.o <- optimize(f, c(0.001, DTmax), x=90)$minimum
      DT90 = ifelse(DTmax - DT90.o < 0.1, NA, DT90.o)
      DT50_k1 = log(2)/k1
      DT50_k2 = log(2)/k2
      ep$distimes[obs_var, c("DT50_k1")] = DT50_k1
      ep$distimes[obs_var, c("DT50_k2")] = DT50_k2
    }
    if (type == "HS") {
      k1 = parms.all["k1"]
      k2 = parms.all["k2"]
      tb = parms.all["tb"]
      DTx <- function(x) {
        DTx.a <- (log(100/(100 - x)))/k1
        DTx.b <- tb + (log(100/(100 - x)) - k1 * tb)/k2
        if (DTx.a < tb) DTx <- DTx.a
        else DTx <- DTx.b
        return(DTx)
      }
      DT50 <- DTx(50)
      DT90 <- DTx(90)
      DT50_k1 = log(2)/k1
      DT50_k2 = log(2)/k2
      ep$distimes[obs_var, c("DT50_k1")] = DT50_k1
      ep$distimes[obs_var, c("DT50_k2")] = DT50_k2
    }
    if (type == "SFORB") {
      # FOCUS kinetics (2006), p. 60 f
      k_out_names = grep(paste("k", obs_var, "free", sep="_"), names(parms.all), value=TRUE)
      k_out_names = setdiff(k_out_names, paste("k", obs_var, "free", "bound", sep="_"))
      k_1output = sum(parms.all[k_out_names])
      k_12 = parms.all[paste("k", obs_var, "free", "bound", sep="_")]
      k_21 = parms.all[paste("k", obs_var, "bound", "free", sep="_")]

      sqrt_exp = sqrt(1/4 * (k_12 + k_21 + k_1output)^2 + k_12 * k_21 - (k_12 + k_1output) * k_21)
      b1 = 0.5 * (k_12 + k_21 + k_1output) + sqrt_exp
      b2 = 0.5 * (k_12 + k_21 + k_1output) - sqrt_exp

      SFORB_fraction = function(t) {
        ((k_12 + k_21 - b1)/(b2 - b1)) * exp(-b1 * t) +
        ((k_12 + k_21 - b2)/(b1 - b2)) * exp(-b2 * t)
      }
      f_50 <- function(t) (SFORB_fraction(t) - 0.5)^2
      max_DT <- 1000
      DT50.o <- optimize(f_50, c(0.01, max_DT))$minimum
      if (abs(DT50.o - max_DT) < 0.01) DT50 = NA else DT50 = DT50.o
      f_90 <- function(t) (SFORB_fraction(t) - 0.1)^2
      DT90.o <- optimize(f_90, c(0.01, max_DT))$minimum
      if (abs(DT90.o - max_DT) < 0.01) DT90 = NA else DT90 = DT90.o

      for (k_out_name in k_out_names)
      {
        ep$ff[[sub("k_", "", k_out_name)]] = parms.all[[k_out_name]] / k_1output
      }

      DT50_b1 = log(2)/b1
      DT50_b2 = log(2)/b2

      # Return the eigenvalues for comparison with DFOP rate constants
      ep$SFORB[[paste(obs_var, "b1", sep="_")]] = b1
      ep$SFORB[[paste(obs_var, "b2", sep="_")]] = b2

      ep$distimes[obs_var, c(paste("DT50", obs_var, "b1", sep = "_"))] = DT50_b1
      ep$distimes[obs_var, c(paste("DT50", obs_var, "b2", sep = "_"))] = DT50_b2
    }
    ep$distimes[obs_var, c("DT50", "DT90")] = c(DT50, DT90)
  }
  return(ep)
}

Contact - Imprint