mean_fromlims: Calculate maximum likelihood mean from measurement limits
In acorg/ablandscapes: Making Antibody landscapes Using R
mean_fromlims R Documentation
Calculate maximum likelihood mean from measurement limits
Description
This is the underlying function called by functions such as mean_titer and
mean_foldchange.
Usage
mean_fromlims(upper_lims, lower_lims, measurement_sd = NULL, start_mean = NULL)
Arguments
upper_lims
The upper measurement limits
lower_lims
The lower measurement limits
measurement_sd
The expected standard deviation of the measurement accounting for error and variation
Value
Returns the maximum likelihood mean.
acorg/ablandscapes documentation built on March 4, 2024, 7:50 a.m.
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| mean_fromlims | R Documentation |
Calculate maximum likelihood mean from measurement limits
Description
This is the underlying function called by functions such as mean_titer and mean_foldchange.
Usage
mean_fromlims(upper_lims, lower_lims, measurement_sd = NULL, start_mean = NULL)
Arguments
upper_lims |
The upper measurement limits |
lower_lims |
The lower measurement limits |
measurement_sd |
The expected standard deviation of the measurement accounting for error and variation |
Value
Returns the maximum likelihood mean.
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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