predict.fcQR

Predicted values based on the Quantile linear model with functional covariates represented by a "fcQR" class object.

Solve scalar-on-function linear models,
including generalized linear mixed effect model and quantile linear regression model,
and bias correction estimation methods due to measurement error.
Details about the measurement error bias correction methods, see
Luan et al. (2023) <doi:10.48550/arXiv.2305.12624>,
Tekwe et al. (2022) <doi:10.1093/biostatistics/kxac017>,
Zhang et al. (2023) <doi:10.5705/ss.202021.0246>,
Tekwe et al. (2019) <doi:10.1002/sim.8179>.

Heyang Ji

MECfda

Scalar-on-Function Regression with Measurement Error Correction

Ufuk Beyaztas

Nicolas Escobar-Velasquez

Yuanyuan Luan

Xiwei Chen

Mengli Zhang

Roger Zoh

Lan Xue

Carmen Tekwe

predict.fcQR function

<dl><dt>object</dt>
<dd>A fcQR class object produced by <code>fcQR</code>.</dd>
<dt>newData.FC</dt>
<dd>A atomic vector or a matrix or a dataframe or a functional_variable class object or a list of objects above.
See argument FC in <code>fcRegression</code>.</dd>
<dt>newData.Z</dt>
<dd>A dataframe or a matrix or a atomic vector. See argument Z in <code>fcRegression</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods <code><a href="/link/predict.rq?package=MECfda&version=0.2.0" data-mini-rdoc="MECfda::predict.rq">predict.rq</a></code>.</dd></dl>

Arguments

Author

Predicted values based on fcQR object — predict.fcQR

<dl>

<dt>object</dt>
<dd>A fcQR class object produced by <code>fcQR</code>.</dd>


<dt>newData.FC</dt>
<dd>A atomic vector or a matrix or a dataframe or a functional_variable class object or a list of objects above.
See argument FC in <code>fcRegression</code>.</dd>


<dt>newData.Z</dt>
<dd>A dataframe or a matrix or a atomic vector. See argument Z in <code>fcRegression</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods <code><a href='https://rdrr.io/pkg/quantreg/man/predict.rq.html'>predict.rq</a></code>.</dd>

</dl>

Predicted values based on fcQR object

predict.fcQR: Predicted values based on fcQR object

Description

Usage

Value

Arguments

Author

Details