WaldTest: Wald Test for a Linear Hypothesis
In CDM: Cognitive Diagnosis Modeling
WaldTest R Documentation
Wald Test for a Linear Hypothesis
Description
Computes a Wald Test for a parameter \bold{θ}
with respect to a linear hypothesis
\bold{R} \bold{θ}=\bold{c}.
Usage
WaldTest( delta, vcov, R, nobs, cvec=NULL, eps=1E-10 )
Arguments
delta
Estimated parameter
vcov
Estimated covariance matrix
R
Hypothesis matrix
nobs
Number of observations
cvec
Hypothesis vector
eps
Numerical value is added as ridge parameter of
the covariance matrix
Value
A vector containing the χ^2 statistic (X2),
degrees of freedom (df),
p value (p) and RMSEA statistic (RMSEA).
CDM documentation built on Aug. 25, 2022, 5:08 p.m.
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| WaldTest | R Documentation |
Wald Test for a Linear Hypothesis
Description
Computes a Wald Test for a parameter \bold{θ} with respect to a linear hypothesis \bold{R} \bold{θ}=\bold{c}.
Usage
WaldTest( delta, vcov, R, nobs, cvec=NULL, eps=1E-10 )
Arguments
delta |
Estimated parameter |
vcov |
Estimated covariance matrix |
R |
Hypothesis matrix |
nobs |
Number of observations |
cvec |
Hypothesis vector |
eps |
Numerical value is added as ridge parameter of the covariance matrix |
Value
A vector containing the χ^2 statistic (X2),
degrees of freedom (df),
p value (p) and RMSEA statistic (RMSEA).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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