fn.IC: Calculate IC weights
In WMAP: Weighted Meta-Analysis with Pseudo-Populations
View source: R/other-functions.R
fn.IC R Documentation
Calculate IC weights
Description
Calculate IC weights
Usage
fn.IC(theta_z, gamma_s, data, parm)
Arguments
theta_z
Group probability vector (length K, sums to 1)
gamma_s
Study probability vector (length J, sums to 1)
data
Structured data list
parm
Parameter list containing tmp1.ar (negative log propensities)
Value
Updated parm with:
wt.v - Weight vector (normalize to mean 1)
ESS - Effective sample size
gamma_s - Study probability used
theta_z - Group probabilities used
WMAP documentation built on Oct. 6, 2026, 1:07 a.m.
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View source: R/other-functions.R
| fn.IC | R Documentation |
Calculate IC weights
Description
Calculate IC weights
Usage
fn.IC(theta_z, gamma_s, data, parm)
Arguments
theta_z |
Group probability vector (length K, sums to 1) |
gamma_s |
Study probability vector (length J, sums to 1) |
data |
Structured data list |
parm |
Parameter list containing tmp1.ar (negative log propensities) |
Value
Updated parm with:
wt.v - Weight vector (normalize to mean 1)
ESS - Effective sample size
gamma_s - Study probability used
theta_z - Group probabilities used
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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