calc_LL_log10normal_threshold: Calculate the log likehood of data given true model outputs...
In ada-w-yan/deltaomicron1: Fit model to Delta and Omicron growth curves with and without Camostat
View source: R/model_likelihood_helpers.R
calc_LL_log10normal_threshold R Documentation
Calculate the log likehood of data given true model outputs if the data is log10normal distributed
and there is an observation threshold
Description
calc_LL_log10normal_threshold calculates the log likehood of data given
true model outputs if the data is log10normal distributed
and there is an observation threshold
Usage
calc_LL_log10normal_threshold(data, true_values, sd_noise, threshold)
Arguments
data
numeric vector of observed data (where some number below threshold
is used to denote a measurement below the threshold)
true_values
numeric vector of the same length as data which contains
the true model outputs
sd_noise
numeric vector of length 1:
standard deviation of the noise distribution in log10 space
threshold
numeric vector of length 1: observation threshold
Value
numeric vector of length 1: the log likehood of the data given true
model outputs
ada-w-yan/deltaomicron1 documentation built on June 24, 2022, 5:41 a.m.
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View source: R/model_likelihood_helpers.R
| calc_LL_log10normal_threshold | R Documentation |
Calculate the log likehood of data given true model outputs if the data is log10normal distributed and there is an observation threshold
Description
calc_LL_log10normal_threshold calculates the log likehood of data given
true model outputs if the data is log10normal distributed
and there is an observation threshold
Usage
calc_LL_log10normal_threshold(data, true_values, sd_noise, threshold)
Arguments
data |
numeric vector of observed data (where some number below |
true_values |
numeric vector of the same length as |
sd_noise |
numeric vector of length 1: standard deviation of the noise distribution in log10 space |
threshold |
numeric vector of length 1: observation threshold |
Value
numeric vector of length 1: the log likehood of the data given true model outputs
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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