biogrowth (version 1.0.6)

distribution_to_logcount: Distribution of times to reach a certain microbial count

Description

The function distribution_to_logcount() has been superseded by function time_to_size(), which provides more general interface.

Returns the probability distribution of the storage time required for the microbial count to reach log_count according to the predictions of a stochastic model. Calculations are done using linear interpolation of the individual model predictions.

Usage

distribution_to_logcount(model, log_count)

Value

An instance of TimeDistribution().

Arguments

model

An instance of StochasticGrowth or MCMCgrowth.

log_count

The target microbial count.

Examples

# \donttest{
## We need an instance of StochasticGrowth

my_model <- "modGompertz"
my_times <- seq(0, 30, length = 100)
n_sims <- 3000

library(tibble)

pars <- tribble(
    ~par, ~mean, ~sd, ~scale,
    "logN0", 0, .2, "original",
    "mu", 2, .3, "sqrt",
    "lambda", 4, .4, "sqrt",
    "C", 6, .5, "original"
)

stoc_growth <- predict_stochastic_growth(my_model, my_times, n_sims, pars)

# }