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A matrix of the estimated covariances between the parameter estimates in the linear or non-linear predictor of the model. This should have row and column names ...
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Variance-covariance matrix used to compute uncertainty estimates (e.g., for confidence intervals based on robust standard errors). This argument accepts a ...
vcov() is a generic function and functions with names beginning in vcov. will be methods for this function. Classes with methods for this function include: lm , ...
Versatile argument to specify the VCOV. In general, it is either a character scalar equal to a VCOV type, either a formula of the form: vcov_type ~ variables .
A matrix of the estimated covariances between the parameter estimates in the linear or non-linear predictor of the model. This should have row and column names ...
22 jul 2017 · vcov: Variance-Covariance Matrices and Standard Errors ; Version: 0.0.1 ; Depends: R (≥ 3.4.0) ; Published: 2017-07-22 ; Author: Michael Chirico.
1 okt 2021 · I wanted to know how I can manually compute what is returned when I call the vcov() function in R on a lm object, i.e. the variance-covariance ...
22 jul 2017 · Details. Runs a series of tests. Examples test.vcov(). Vcov. Fast Covariance Matrix and Standard Error Computation. Description.
14 aug 2023 · Details. For the coxph and survreg functions the returned matrix is a particular generalized inverse: the row and column corresponding to any NA ...
This package should be used as a backend by package developers. It allows developers to add a ::CovarianceEstimator argument in the fit method defined by ...