parse_nplcm_reg: parse regression components (either false positive rate or...
In baker: Nested Partially Latent Class Models
Description
Usage
Arguments
Value
Description
parse regression components (either false positive rate or etiology regression)
for fitting npLCM; Only use this when formula is not NULL.
Usage
1
parse_nplcm_reg(form, data_nplcm, silent = TRUE)
Arguments
form
regression formula
data_nplcm
data object for nplcm(); may contain covariates X;
must have case-control status Y.
silent
Default is TRUE for no message about covariates;
FALSE otherwise.
Value
TRUE for doing regression; FALSE otherwise.
baker documentation built on Feb. 2, 2022, 9:06 a.m.
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Description Usage Arguments Value
Description
parse regression components (either false positive rate or etiology regression)
for fitting npLCM; Only use this when formula is not NULL.
Usage
1 | parse_nplcm_reg(form, data_nplcm, silent = TRUE)
|
Arguments
form |
regression formula |
data_nplcm |
data object for |
silent |
Default is |
Value
TRUE for doing regression; 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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