diagnose_data

Performs data validation, missing value imputation, and variance checks on
input matrices to prepare them for factor analysis. Handles dimension
compatibility, NA values, and zero-variance columns.

Tests convergence in macro-financial panels combining
Dynamic Factor Models (DFM) and mean-reverting Ornstein-Uhlenbeck (OU)
processes. Provides: (i) static/approximate DFMs for large panels with
VAR/VECM stability checks, Portmanteau tests and rolling out-of-sample R^2,
following Stock and Watson (2002) <doi:10.1198/073500102317351921> and the
Generalized Dynamic Factor Model of Forni, Hallin, Lippi and Reichlin (2000)
<doi:10.1162/003465300559037>; (ii) cointegration analysis à la Johansen
(1988) <doi:10.1016/0165-1889(88)90041-3>; (iii) OU-based convergence and
half-life summaries grounded in Uhlenbeck and Ornstein (1930)
<doi:10.1103/PhysRev.36.823> and Vasicek (1977) <doi:10.1016/0304-405X(77)90016-2>;
(iv) robust inference via 'sandwich' HC/HAC estimators (Zeileis (2004)
<doi:10.18637/jss.v011.i10>) and regression diagnostics ('lmtest'); and
(v) optional PLS-based factor preselection (Mevik and Wehrens (2007)
<doi:10.18637/jss.v018.i02>). Functions emphasize reproducibility and clear,
publication-ready summaries.

José Mauricio Gómez Julián

convergenceDFM

Convergence and Dynamic Factor Models

diagnose_data function

<dl><dt>X_matrix</dt>
<dd>Numeric matrix or data frame of X variables (e.g., Marxist prices).</dd>
<dt>Y_matrix</dt>
<dd>Numeric matrix or data frame of Y variables (e.g., market prices/CPI).</dd>
<dt>verbose</dt>
<dd>Logical; print diagnostic information. Default <code>TRUE</code>.</dd></dl>

Arguments

Diagnose and prepare data matrices — diagnose_data

<dl>

<dt>X_matrix</dt>
<dd>Numeric matrix or data frame of X variables (e.g., Marxist prices).</dd>


<dt>Y_matrix</dt>
<dd>Numeric matrix or data frame of Y variables (e.g., market prices/CPI).</dd>


<dt>verbose</dt>
<dd>Logical; print diagnostic information. Default <code>TRUE</code>.</dd>

</dl>

diagnose_data: Diagnose and prepare data matrices

Description

Usage

Value

Arguments

Details