logLik.aslm

nobs.aslm

predict.aslm

These methods are implemented by the <code><a rd-options="" href="/link/lm?package=AdaptiveSparsity&version=1.6" data-mini-rdoc="AdaptiveSparsity::lm">lm</a></code> parent class:<ul>
<li><code>logLik</code> -- Extract log-likelihood</li>
<li><code>predict</code> -- Predict values based on linear model</li>
<li><code>nobs</code> -- Extract the number of observations from a fit</li>
</ul>

 models

 methods 

aslm-methods

Implements Figueiredo EM algorithm for adaptive sparsity (Jeffreys prior) (see Figueiredo, M.A.T.; , "Adaptive sparseness for supervised learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.25, no.9, pp. 1150- 1159, Sept. 2003) and Wong algorithm for adaptively sparse gaussian geometric models (see Wong, Eleanor, Suyash Awate, and P. Thomas Fletcher. "Adaptive Sparsity in Gaussian Graphical Models." In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp. 311-319. 2013.)

Kris Campbell

AdaptiveSparsity

Adaptive Sparsity Models

aslm-methods function

These methods are implemented by the <code><a rd-options='' href='lm'>lm</a></code> parent class:<ul>
<li><code>logLik</code> -- Extract log-likelihood</li>
<li><code>predict</code> -- Predict values based on linear model</li>
<li><code>nobs</code> -- Extract the number of observations from a fit</li>
</ul>

Methods handled by lm — aslm-methods

Methods handled by lm

aslm-methods: Methods handled by lm

Description

Arguments

See Also