initest_options | R Documentation |
Options for computing initial estimates via ENPY.
Superseded by enpy_options()
.
initest_options( keep_solutions = 5, psc_method = c("exact", "rr"), maxit = 10, maxit_pense_refinement = 5, eps = 1e-06, psc_keep = 0.5, resid_keep_method = c("proportion", "threshold"), resid_keep_prop = 0.6, resid_keep_thresh = 2, mscale_eps = 1e-08, mscale_maxit = 200 )
keep_solutions |
how many initial estimates should be kept to perform full PENSE iterations? |
psc_method |
The method to use for computing the principal sensitivity components. See details for the possible choices. |
maxit |
maximum number of refinement iterations. |
maxit_pense_refinement |
ignored. Maximum number of PENSE iterations to refine initial estimator. |
eps |
ignored. Numeric tolerance for convergence. |
psc_keep |
proportion of observations to keep based on the PSC scores. |
resid_keep_method |
How to clean the data based on large residuals.
If |
resid_keep_prop, resid_keep_thresh |
proportion or threshold for observations to keep based on their residual. |
mscale_eps, mscale_maxit |
ignored. Maximum number of iterations and numeric tolerance for the M-scale. |
Do not use this function in new code. It may be removed from future versions of the package.
Other deprecated functions:
deprecated_en_options
,
enpy()
,
mstep_options()
,
pense_options()
,
pensem()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.