View source: R/simexprofilellhd.R
simexprofilellhd | R Documentation |
Calculates the profile log-likelihood of the slope in a simple linear regression model with measurement error in the predictor, using the SIMEX method.
simexprofilellhd(p, simex.estimates, variance.ratio)
p |
Slope of the simple linear regression. |
simex.estimates |
Matrix containing data simulated by SIMEX. |
variance.ratio |
Ratio of the variance of the predictor to the variance of the outcome. |
simex.estimates
is a matrix with three columns.
Column 1 contains the values of lambda under which measurement error is simulated.
Column 2 contains the estimated slopes for each value of lambda.
Column 3 contains the sampling variances of the estimated slopes.
The likelihood is a profile likelihood for the true regression slope, with the profile taken over a nuisance
parameter representing the ratio of the sampling variance to the variance of the true predictors.
The lower bound for this nuisance parameter depends on p
and variance.ratio
.
Profile log-likelihood evaluated at p
for the data in simex.estimates
.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.