Description Usage Arguments Value
Sets up the parameter table for use in MCMC
1 2 3 | parTabSetup_aux(locationInfo, version = 1, sharedProb = FALSE,
parFile = "", locationParFile = "", locationNormLik = FALSE,
locationWeights = FALSE, forecast = FALSE)
|
locationInfo |
data frame of location info, see data(locationInfo). Needs columns for L_H, N_H and rawName |
version |
which model version is being run (see |
sharedProb |
boolean indicating if all locations share the same risk curve |
parFile |
if already specified, where to find the parameter table file without location parameters |
locationParFile |
as parFile, but with location specific parameters added |
locationNormLik |
boolean deciding whether or not a normal likelihood function is used (otherwise binomial). If NULL, uses the binomial. If not NULL, true or false indicates whether the likelihood standard deviations are location specific or not. |
locationWeights |
bool deciding if location weightings should be used (otherwise all locations have equal weighting) |
forecast |
if TRUE, sets up the parameter table for the forecasting analysis |
a matrix of needed settings for the MCMC algorithm. For each parameter, gives a name, lower and upper bounds, boolean for log scale, initial step sizes, log proposal and whether or not the parameter should be fixed.
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