HatchingSuccess.MHmcmc_p {embryogrowth} | R Documentation |
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)
[Package embryogrowth version 9.1 Index]