test_overall_effect: This function runs the main code for fitting a model that...
In ColtoCaro/compMS: Bayesian Compositional Proteomics Modeling via Stan
Description
This function runs the main code for fitting a model that looks at the
overall (single curve) effect through time.
Usage
1
test_overall_effect(tempDat, timeDegree = 2, fullTimes, useW = TRUE)
Arguments
tempDat
The data to be analyzed
timeDegree
either 1, 2 or 3 for linear, quadratic or cubic models
fullTimes
A vector specifying all of the times found in the study
useW
A boolean that determines whether or not the posterior variance of
each protein estimate should be used to weight the observations
ColtoCaro/compMS documentation built on March 13, 2020, 10:11 a.m.
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Description
This function runs the main code for fitting a model that looks at the overall (single curve) effect through time.
Usage
1 | test_overall_effect(tempDat, timeDegree = 2, fullTimes, useW = TRUE)
|
Arguments
tempDat |
The data to be analyzed |
timeDegree |
either 1, 2 or 3 for linear, quadratic or cubic models |
fullTimes |
A vector specifying all of the times found in the study |
useW |
A boolean that determines whether or not the posterior variance of each protein estimate should be used to weight the observations |
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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