shared_weighted_gram

<p>Compute X' diag(w) X efficiently. If w &gt;= 0, use SPD crossprod(X*sqrt(w)).
Otherwise, fall back to X' (diag(w) X) via crossprod(X, X*w).</p>

internal

Methods to estimate finite-population parameters under nonresponse that is not missing at
random (NMAR, nonignorable). Incorporates auxiliary information and user-specified response models,
and supports independent samples and complex survey designs via objects from the 'survey' package.
Provides diagnostics and optional variance estimates. For methodological background see
Qin, Leung and Shao (2002) <doi:10.1198/016214502753479338> and Riddles, Kim and Im (2016) <doi:10.1093/jssam/smv047>.

Maciej Ber<c4><99>sewicz

NMAR

Estimation under not Missing at Random Nonresponse

Maciej Beresewicz

Igor Kołodziej

Mateusz Iwaniuk

shared_weighted_gram function

Weighted linear algebra — shared_weighted_gram

Weighted linear algebra

shared_weighted_gram: Weighted linear algebra

Description

Usage

Arguments