ScoreBNEM {SurrogateRegression} | R Documentation |
Score Test via Expectation Maximization.
Description
Performs a Score test of the null hypothesis that a subset of the regression parameters for the target outcome are zero.
Usage
ScoreBNEM(
t,
s,
X,
Z,
is_zero,
init = NULL,
maxit = 100,
eps = 1e-08,
report = FALSE
)
Arguments
t |
Target outcome vector. |
s |
Surrogate outcome vector. |
X |
Target model matrix. |
Z |
Surrogate model matrix. |
is_zero |
Logical vector, with as many entires as columns in the target model matrix, indicating which columns have coefficient zero under the null. |
init |
Optional list of initial parameters for fitting the null model. |
maxit |
Maximum number of parameter updates. |
eps |
Minimum acceptable improvement in log likelihood. |
report |
Report model fitting progress? Default is FALSE. |
Value
A numeric vector containing the score statistic, the degrees of freedom, and a p-value.
[Package SurrogateRegression version 0.6.0.1 Index]