find_approx_for_missing: Find a Gaussian approximation for each missing value in X
In const-ae/proDD: Identifying Differentially Abundant Proteins from Label-Free Mass Spectrometry Data
View source: R/calculate_distance.R
Description
Find a Gaussian approximation for each missing value in X
Usage
1
2
find_approx_for_missing(X, params = NULL, experimental_design, mup,
sigma2mup, sigma2p, rho, zeta)
Value
a list with with two elements 'mu_mis' and 'var_mis'
both of which are matrices with the same dimensions as X
and values wherever X has a missing value.
const-ae/proDD documentation built on Jan. 14, 2020, 9:34 a.m.
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View source: R/calculate_distance.R
Description
Find a Gaussian approximation for each missing value in X
Usage
1 2 | find_approx_for_missing(X, params = NULL, experimental_design, mup,
sigma2mup, sigma2p, rho, zeta)
|
Value
a list with with two elements 'mu_mis' and 'var_mis' both of which are matrices with the same dimensions as X and values wherever X has a missing value.
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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