Validate model argument¶
Source: R/utils.R ยท Help: ?checkModel
Checks that model is of class lm or glm. With enhanced = TRUE it
also runs the soft checks of the deprecated checkModelEnhanced(): it warns
when the residual degrees of freedom fall below six, when a near-perfect fit
is detected (R\(^2 > 0.999\)), or, when data is given, when a variance
inflation factor exceeds 10 (Belsley et al., 1980).
Usage¶
Arguments¶
model- An object to check.
data- Optional
data.frameused when fittingmodel. Withenhanced = TRUEit enables the multicollinearity check throughperformVIFDiagnostic(). enhanced- Logical.
FALSE, the default, checks the class only.
Value¶
Invisible model if valid, otherwise an error is thrown.
Details¶
It does not check whether a test accepts model: it accepts a binomial or a
Poisson glm, a survey::svyglm() fit and a fit with a zero weight,
which the tests refuse, each with its own message. Which test accepts which
model is set out in test_results, under Supported models.
The R-squared is that of the least-squares fit: for a glm with the
Gaussian family and the identity link, that of the equivalent lm, which
summary() of a glm does not report; for any other glm it is not
checked. Before 0.16.0, enhanced = TRUE stopped on any glm with "missing
value where TRUE/FALSE needed".
References¶
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980). Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley.