[.mvmfd

Extract subsets of an `mvmfd` object

Methods and tools for implementing regularized multivariate functional principal component analysis ('ReMFPCA') for multivariate functional data whose variables might be observed over different dimensional domains. 'ReMFPCA' is an object-oriented interface leveraging the extensibility and scalability of R6. It employs a parameter vector to control the smoothness of each functional variable. By incorporating smoothness constraints as penalty terms within a regularized optimization framework, 'ReMFPCA' generates smooth multivariate functional principal components, offering a concise and interpretable representation of the data. For detailed information on the methods and techniques used in 'ReMFPCA', please refer to Haghbin et al. (2023) <doi:10.48550/arXiv.2306.13980>.

Hossein Haghbin

ReMFPCA

Regularized Multivariate Functional Principal Component Analysis

Yue Zhao

Mehdi Maadooliat

[.mvmfd function

<dl><dt>mvmfd_obj</dt>
<dd>An `mvmfd` object</dd>
<dt>i</dt>
<dd>An index or indices specifying the subsets to extract for the first dimension</dd>
<dt>j</dt>
<dd>An index or indices specifying the subsets to extract for the second dimension</dd></dl>

Arguments

Extract subsets of an `mvmfd` object — [.mvmfd

<dl>

<dt>mvmfd_obj</dt>
<dd>An `mvmfd` object</dd>


<dt>i</dt>
<dd>An index or indices specifying the subsets to extract for the first dimension</dd>


<dt>j</dt>
<dd>An index or indices specifying the subsets to extract for the second dimension</dd>

</dl>

[.mvmfd: Extract subsets of an `mvmfd` object

Description

Usage

Value

Arguments

See Also