Codoc mismatches from Rd file 'HeterogeneityNests.Rd':
HeterogeneityNests
  Code: function(nests = stop("An object of class Nests2, NestsResult,
                 or mcmcComposite."), probs = c(0.025, 0.975),
                 control.legend.total = list(),
                 control.legend.metabolicheating = list(),
                 show.full.incubation = TRUE,
                 show.first.half.incubation = TRUE,
                 col.absolute.difference.full = rgb(blue = 0.1, green =
                 0.1, red = 1, alpha = 0.01),
                 pch.absolute.difference.full = 19,
                 col.absolute.difference.first = rgb(blue = 1, green =
                 0.1, red = 0.1, alpha = 0.01),
                 pch.absolute.difference.first = 19, show.se = TRUE,
                 show.sd = TRUE, n.iter = 10000, n.adapt = 1000, thin =
                 5, adaptive = TRUE, return.mcmc = FALSE, trace =
                 FALSE, rules = rbind(data.frame(Name = "min", Min = 0,
                 Max = 2), data.frame(Name = "max", Min = 0, Max = 20),
                 data.frame(Name = "S", Min = 0, Max = 10),
                 data.frame(Name = "P", Min = 0, Max = 50),
                 data.frame(Name = "asd", Min = 0, Max = 2),
                 data.frame(Name = "bsd", Min = 0, Max = 1)),
                 fitted.parameters = c(min = 1, max = 3.94384206319577,
                 S = 0.621279598124434, P = 5.69863056154756, asd =
                 0.0139849297499185, bsd = 1.19025174327629),
                 fixed.parameters = NULL, ...)
  Docs: function(nests = stop("An object of class Nests2, NestsResult,
                 or mcmcComposite."), probs = c(0.025, 0.975),
                 control.legend.total = list(),
                 control.legend.metabolicheating = list(),
                 show.full.incubation = TRUE,
                 show.first.half.incubation = TRUE,
                 col.absolute.difference.full = rgb(blue = 0.1, green =
                 0.1, red = 1, alpha = 0.01),
                 pch.absolute.difference.full = 19,
                 col.absolute.difference.first = rgb(blue = 1, green =
                 0.1, red = 0.1, alpha = 0.01),
                 pch.absolute.difference.first = 19, show.se = TRUE,
                 show.sd = TRUE, n.iter = 10000, n.adapt = 1000, thin =
                 5, adaptive = TRUE, return.mcmc = FALSE, trace =
                 FALSE, rules = rbind(data.frame(Name = "min", Min = 0,
                 Max = 2), data.frame(Name = "max", Min = 0, Max = 20),
                 data.frame(Name = "S", Min = 0, Max = 10),
                 data.frame(Name = "P", Min = 0, Max = 50),
                 data.frame(Name = "asd", Min = 0, Max = 2),
                 data.frame(Name = "bsd", Min = 0, Max = 1)),
                 fitted.parameters = c(min = 1, max = 3.94384206319577,
                 S = 0.621279598124434, P = 5.69863056154757, asd =
                 0.0139849297499185, bsd = 1.19025174327629),
                 fixed.parameters = NULL, ...)
  Mismatches in argument default values:
    Name: 'fitted.parameters'
    Code: c(min = 1, max = 3.94384206319577, S = 0.621279598124434, P = 5.69863056154756, 
          asd = 0.0139849297499185, bsd = 1.19025174327629)
    Docs: c(min = 1, max = 3.94384206319577, S = 0.621279598124434, P = 5.69863056154757, 
          asd = 0.0139849297499185, bsd = 1.19025174327629)