Searched +refs:raw +refs:cnp2 (Results 1 – 5 of 5) sorted by relevance
/dports/math/R-cran-robustbase/robustbase/tests/ |
H A D | MCD-specials.Rout.save | 56 $ raw.center: Named num 0.325 64 $ raw.cnp2 : num [1:2] 6.45 1.14 65 $ cnp2 : num [1:2] 1.47 1.01 128 $ raw.cnp2 : num [1:2] 1 1 129 $ cnp2 : num [1:2] 1.14 1 189 $ raw.center : Named num 1 200 $ raw.cnp2 : num [1:2] 4.97 1.41 201 $ cnp2 : num [1:2] 1 1 259 $ raw.center : Named num 1 267 $ raw.cnp2 : num [1:2] 1 1 [all …]
|
/dports/math/R-cran-robustbase/robustbase/man/ |
H A D | ltsReg.Rd | 107 returned also in the vectors \code{raw.cnp2} and \code{cnp2} of 134 i.e., the sum of the \eqn{h} smallest squared raw residuals. 141 the best subset found and used for computing the raw estimates, with 153 \item{cnp2}{a vector of length two containing the consistency 156 \item{raw.coefficients}{vector of raw coefficient estimates (including 158 \item{raw.scale}{scale estimate of the raw residuals.} 159 \item{raw.resid}{vector like \code{y} containing the raw residuals 161 \item{raw.cnp2}{a vector of length two containing the consistency 163 raw estimate of the error scale.} 169 \item{raw.weights}{ [all …]
|
H A D | covMcd.Rd | 19 covMcd(x, cor = FALSE, raw.only = FALSE, 30 \item{raw.only}{should only the \dQuote{raw} estimate be returned, 112 \code{raw.cnp2}. 118 Based on these raw MCD estimates, (unless argument \code{raw.only} is 128 \code{cnp2}. Details for the computation of the finite sample 155 \item{cnp2}{a vector of length two containing the consistency 158 \item{raw.center}{the raw (not reweighted) estimate of location.} 159 \item{raw.cov}{the raw (not reweighted) estimate of scatter.} 162 \item{raw.weights}{weights of the observations based on the raw 164 \item{raw.cnp2}{a vector of length two containing the consistency [all …]
|
/dports/math/R-cran-robustbase/robustbase/vignettes/ |
H A D | fastMcd-kmini.Rnw | 149 The raw MCD estimate of location, say $\hat{\mu}_0$, is then the average of these $h$ points, 150 whereas the raw MCD estimate of scatter, $\hat{\Sigma}_0$, is their covariance matrix, 155 %% \code{raw.cnp2}. 163 Based on these raw MCD estimates, $\bigl(\hat{\mu}_0, \hat{\Sigma}_0\bigr)$, 164 % (unless argument \code{raw.only} is true), 167 with respect to the scaled raw MCD, using the ``Mahalanobis''-like, robust distances 174 than the raw one, see \citet{PisGvAW02}. 177 \code{cnp2}. Details for the computation of the finite sample
|
/dports/math/R-cran-robustbase/robustbase/inst/doc/ |
H A D | fastMcd-kmini.Rnw | 149 The raw MCD estimate of location, say $\hat{\mu}_0$, is then the average of these $h$ points, 150 whereas the raw MCD estimate of scatter, $\hat{\Sigma}_0$, is their covariance matrix, 155 %% \code{raw.cnp2}. 163 Based on these raw MCD estimates, $\bigl(\hat{\mu}_0, \hat{\Sigma}_0\bigr)$, 164 % (unless argument \code{raw.only} is true), 167 with respect to the scaled raw MCD, using the ``Mahalanobis''-like, robust distances 174 than the raw one, see \citet{PisGvAW02}. 177 \code{cnp2}. Details for the computation of the finite sample
|