Create a Prior for the Richards Growth Model

Create a priors for the Richards growth model. If the function arguments K, K0, rate, lambda, or nu are NULL, normal distribution priors will be set.

If you would like to set a parameter as a constant, enter a numeric value for the function argument.

For other distribution options, reference brms::prior and Prior Choice Recommendations

Usage

growth_richards_prior(
  K = brms::prior(prior = normal(1, 0.5), nlpar = "K"),
  K0 = brms::prior(prior = normal(0, 0.5), nlpar = "K0"),
  rate = brms::prior(prior = normal(2, 0.5), nlpar = "rate", lb = 0),
  lambda = brms::prior(prior = normal(0.5, 0.5), nlpar = "lambda"),
  nu = brms::prior(prior = normal(1, 1), nlpar = "nu", lb = 0),
  ...
)

Arguments

K

brms::brmsprior() or numeric. Prior for the K parameter. (Default: normal(1, 0.5)).

K0

brms::brmsprior() or numeric. Prior for the K0 parameter. (Default: normal(0, 0.5)).

rate

brms::brmsprior() or numeric. Prior for the rate parameter. (Default: normal(1, 1) with and a lower bound of 0).

lambda

brms::brmsprior() or numeric. Prior for the lambda parameter. (Default: normal(0.5, 0.5)).

nu

brms::brmsprior() or numeric. Prior for the nu parameter. (Default: normal(1, 1) with a lower bound of 0).

...

additional brms::brmsprior() objects.

Value

brms::brmsprior() data.frame

Examples

if (FALSE) { # \dontrun{
priors <- growth_richards_prior(
  K = brms::prior(prior = normal(100, 20), nlpar = "K"),
  nu = brms::prior(prior = normal(2, 4), nlpar = "nu"),
  lambda = 1)
} # }