logistic_prob: Logistic Probability
In bojinov/diagMAAR: Diagnostic tests for missing always at random
Description
Usage
Arguments
Details
Value
See Also
Description
This function computes logit^{-1}(β_0 + Xβ) if is.null(mu),
otherwise it computes mean(logit^{-1}(β_0 + Xβ) - μ).
Usage
1
logistic_prob(beta0, Xbeta, mu = NULL)
Arguments
beta0:
A numeric value.
Xbeta:
A numeric matrix.
mu:
A numeric value, by default it is set to NULL
Details
This function is used when generating missing data from a complete data set.
Value
p: logit^-1(beta0 + Xbeta) if is.null(mu) or
mean(logit^-1(beta0 + Xbeta)) - mu.
See Also
Other data generating functions: MAAR_mechanism_noindep,
MAAR_mechanism,
MANAR_mechanism, sample_mvn
bojinov/diagMAAR documentation built on May 22, 2019, 2:22 p.m.
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Description Usage Arguments Details Value See Also
Description
This function computes logit^{-1}(β_0 + Xβ) if is.null(mu), otherwise it computes mean(logit^{-1}(β_0 + Xβ) - μ).
Usage
1 | logistic_prob(beta0, Xbeta, mu = NULL)
|
Arguments
beta0: |
A numeric value. |
Xbeta: |
A numeric matrix. |
mu: |
A numeric value, by default it is set to NULL |
Details
This function is used when generating missing data from a complete data set.
Value
p: logit^-1(beta0 + Xbeta) if is.null(mu) or mean(logit^-1(beta0 + Xbeta)) - mu.
See Also
Other data generating functions: MAAR_mechanism_noindep,
MAAR_mechanism,
MANAR_mechanism, sample_mvn
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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