log_prior | R Documentation |
Evaluates the prior distribution (normal) of the log parameter vector with normally distributed error.
log_prior(
lpr,
mu = getOption("pkpredict.pip.default.prior")$log_pk_mean,
sig = getOption("pkpredict.pip.default.prior")$log_pk_vcov,
ler_mean = getOption("pkpredict.pip.default.prior")$log_err_mean,
ler_sdev = getOption("pkpredict.pip.default.prior")$log_err_sd
)
lpr |
log-PK parameter vector with error: (lv_1, lk_10, lk_12, lk_21, ler_mean) |
mu |
log-mean of the PK parameter distribution |
sig |
log-variance-covariance matrix of the PK parameter distribution |
ler_mean |
log-mean of the error distribution |
ler_sdev |
log-standard deviation of the error distribution |
Parameter distributions: log(lv_1, lk_10, lk_12, lk_21) ~ N(mu, sig) log(error) ~ N(ler_mean, ler_sdev)
The value of the log-prior evaluated at the specified log-parameter vector
log_prior(lpr = c(getOption("pkpredict.pip.default.prior")$log_pk_mean,
getOption("pkpredict.pip.default.prior")$log_err_mean))
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