View source: R/from_ellipsoid_ALS.R
| ellipsoid_ALS | R Documentation | 
Adjusted LS fitting of ellipsoids, by Kukush et al. 2003.
ellipsoid_ALS(x, s2, ..., just_U = FALSE)
| x | Point locations, n x d matrix | 
| s2 | Error variance, or a vector over which to optimize. | 
| ... | ignored | 
| just_U | For internal use: Return just smallest eigenvector and bhat. | 
Not really optimised yet. Good grid for s2 optimisation is something like seq(s2 * 0.1, s2, length=20) where s2 is the OLS estimate (access via $ols_fit$s2).
Kukush et al (2003): Consistent estimation in an implicit quadratic measurement error model, Computational Stat & Data Analysis
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