vcov.spbp

Uses block-wise inversion of the negative Hessian, with a clear split between
the regression coefficients (beta) and the Bernstein polynomial coefficients (gamma).

Semiparametric survival analysis based on Bernstein polynomials.
'spsurv' includes proportional hazards, proportional odds and accelerated
failure time frameworks for right-censored data. RV Panaro (2020)
<doi:10.48550/arXiv.2003.10548>.

Renato Panaro

spsurv

Bernstein Polynomial Based Semiparametric Survival Analysis

Fábio Demarqui

Vinicius Mayrink

vcov.spbp function

<dl><dt>object</dt>
<dd>an object of the class spbp</dd>
<dt>bp.param</dt>
<dd>return Bernstein Polynomial variance.</dd>
<dt>mask_unstable_gamma</dt>
<dd>when <code>TRUE</code> (default), set
\(\gamma\)-related entries to <code>NA</code> if the Bernstein information block
is ill-conditioned. Set <code>FALSE</code> internally when propagating survival
uncertainty despite instability.</dd>
<dt>...</dt>
<dd>arguments passed to parent method.</dd></dl>

Arguments

Covariance of the regression coefficients — vcov.spbp

<dl>

<dt>object</dt>
<dd>an object of the class spbp</dd>


<dt>bp.param</dt>
<dd>return Bernstein Polynomial variance.</dd>


<dt>mask_unstable_gamma</dt>
<dd>when <code>TRUE</code> (default), set
\(\gamma\)-related entries to <code>NA</code> if the Bernstein information block
is ill-conditioned. Set <code>FALSE</code> internally when propagating survival
uncertainty despite instability.</dd>


<dt>...</dt>
<dd>arguments passed to parent method.</dd>

</dl>

vcov.spbp: Covariance of the regression coefficients

Description

Usage

Value

Arguments