HatchingSuccess.MHmcmc_p {embryogrowth}

Generates set of parameters to be used with HatchingSuccess.MHmcmc()

Description

Interactive script used to generate set of parameters to be used with HatchingSuccess.MHmcmc().

Usage

HatchingSuccess.MHmcmc_p(
  result = NULL,
  parameters = NULL,
  fixed.parameters = NULL,
  accept = FALSE
)

Arguments

result

An object obtained after a HatchingSuccess.fit() fit

parameters

A set of parameters. Replace the one from result

fixed.parameters

A set of fixed parameters. Replace the one from result

accept

If TRUE, the script does not wait user information

Details

HatchingSuccess.MHmcmc_p generates set of parameters to be used with HatchingSuccess.MHmcmc()

Value

A matrix with the parameters

Author(s)

Marc Girondot

See Also

Other Hatching success: HatchingSuccess.MHmcmc(), HatchingSuccess.fit(), HatchingSuccess.lnL(), HatchingSuccess.model(), logLik.HatchingSuccess(), nobs.HatchingSuccess(), plot.HatchingSuccess(), predict.HatchingSuccess()

Examples

## Not run: 
library(embryogrowth)
totalIncubation_Cc <- subset(DatabaseTSD, 
                             Species=="Caretta caretta" & 
                               Note != "Sinusoidal pattern" & 
                               !is.na(Total) & Total != 0)

par <- c(S.low=0.5, S.high=0.3, 
         P.low=25, deltaP=10, MaxHS=0.8)
         
g <- HatchingSuccess.fit(par=par, data=totalIncubation_Cc)
pMCMC <- HatchingSuccess.MHmcmc_p(g, accept=TRUE)
mcmc <- HatchingSuccess.MHmcmc(result=g, parameters = pMCMC, 
                  adaptive=TRUE, n.iter=100000, trace=1000)

## End(Not run)