sol_vonbert | R Documentation |
Intended for use inside of sol_equation
objects.
sol_vonbert( t, Linf, k, t0, Linf_se, k_se, t0_se, reps = 1000L, ci = 0.95, method = "monte carlo" )
t |
numeric: prediction times |
Linf |
numeric: Linf parameter estimate |
k |
numeric: k parameter estimate |
t0 |
numeric: t0 parameter estimate |
Linf_se |
numeric: Linf parameter standard error estimate |
k_se |
numeric: k parameter standard error estimate |
t0_se |
numeric: t0 parameter standard error estimate |
reps |
integer: number of Monte-Carlo samples to draw |
ci |
numeric: confidence level |
method |
string: method to use for uncertainty propagation (only "monte carlo" supported at the moment) |
A tibble with columns allometric_value
, allometric_value_lower
, allometric_value_upper
. If any of the standard error inputs are missing, NULL
, or NA
, the upper and lower estimates will be NA_real_
sol_vonbert(0:7, Linf = 80.7, Linf_se = 0.82, k = 0.25, k_se = 0.01, t0 = -2.31, t0_se = 0.01)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.