em.step.2normal.discrete: The E-step and M-step of EM algorithm
In qunhualilab/gIDR: Generalized irreproducibile discovery rate
Description
Usage
Arguments
Value
Description
The E-step and M-step of EM algorithm
Usage
1
2
em.step.2normal.discrete(z.1, z.2, m, mu, sigma, rho, p,
count.as.singleton = 1, top.missing = F)
Arguments
z.1
boundary of the unique and nonoverlapping categories based on pseduo values for the first replicate.
z.2
boundary of the unique and nonoverlapping categories based on pseduo values for the second replicate.
m
number of observations in each category.
mu
a starting value for the mean of the reproducible component.
sigma
a starting value for the standard deviation of the reproducible component.
rho
a starting value for the correlation coefficient of the reproducible component.
p
a starting value for the proportion of reproducible component.
count.as.singleton
the count being seen as singleton. Default is 1.
top.missing
if there are missing observations, top.missing=T.
Value
estimated parameters: p, rho, mu, sigma
qunhualilab/gIDR documentation built on May 14, 2019, 10:38 a.m.
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Description Usage Arguments Value
Description
The E-step and M-step of EM algorithm
Usage
1 2 | em.step.2normal.discrete(z.1, z.2, m, mu, sigma, rho, p,
count.as.singleton = 1, top.missing = F)
|
Arguments
z.1 |
boundary of the unique and nonoverlapping categories based on pseduo values for the first replicate. |
z.2 |
boundary of the unique and nonoverlapping categories based on pseduo values for the second replicate. |
m |
number of observations in each category. |
mu |
a starting value for the mean of the reproducible component. |
sigma |
a starting value for the standard deviation of the reproducible component. |
rho |
a starting value for the correlation coefficient of the reproducible component. |
p |
a starting value for the proportion of reproducible component. |
count.as.singleton |
the count being seen as singleton. Default is 1. |
top.missing |
if there are missing observations, top.missing=T. |
Value
estimated parameters: p, rho, mu, sigma
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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