fn.check_positivity: Check for positivity violations
In WMAP: Weighted Meta-Analysis with Pseudo-Populations
fn.check_positivity R Documentation
Check for positivity violations
Description
Warns if any study-group combination has very few observations or estimated
propensities near zero, suggesting positivity may be violated.
Usage
fn.check_positivity(data, parm, propensity_min = DIAG_PROPENSITY_MIN)
Arguments
data
Structured data list with N.sz (study-group counts)
parm
Parameter list with diagnostics (frac_truncated)
propensity_min
Fraction threshold: warn if this fraction of subjects
had near-zero pre-truncation propensity (default: 0.05)
Value
Invisibly returns TRUE if warning issued, FALSE otherwise
WMAP documentation built on Oct. 6, 2026, 1:07 a.m.
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| fn.check_positivity | R Documentation |
Check for positivity violations
Description
Warns if any study-group combination has very few observations or estimated propensities near zero, suggesting positivity may be violated.
Usage
fn.check_positivity(data, parm, propensity_min = DIAG_PROPENSITY_MIN)
Arguments
data |
Structured data list with N.sz (study-group counts) |
parm |
Parameter list with diagnostics (frac_truncated) |
propensity_min |
Fraction threshold: warn if this fraction of subjects had near-zero pre-truncation propensity (default: 0.05) |
Value
Invisibly returns TRUE if warning issued, FALSE otherwise
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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