pval: Calculate p-values
In edsandorf/cmdlR: Choice Modeling in R
pval R Documentation
Calculate p-values
Description
A convenient function to calculate p-values for **t-statistics**. By default
p-values are calculated based on the null hypothesis that the true parameters
are equal to zero. To test against other values a vector of "hypotheses"
must be supplied.
Usage
pval(est, std_err, df, hypotheses = NULL)
Arguments
est
A vector of model estimates
std_err
A vector of standard errors
df
An integer giving the degrees of freedom for the test
hypotheses
A vector of values to test against. The vector must be the
same length as 'est'. If no vector is supplied, the default test is against
0.
Value
A vector of p-values the length of 'est'
edsandorf/cmdlR documentation built on Jan. 17, 2024, 12:33 a.m.
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| pval | R Documentation |
Calculate p-values
Description
A convenient function to calculate p-values for **t-statistics**. By default p-values are calculated based on the null hypothesis that the true parameters are equal to zero. To test against other values a vector of "hypotheses" must be supplied.
Usage
pval(est, std_err, df, hypotheses = NULL)
Arguments
est |
A vector of model estimates |
std_err |
A vector of standard errors |
df |
An integer giving the degrees of freedom for the test |
hypotheses |
A vector of values to test against. The vector must be the same length as 'est'. If no vector is supplied, the default test is against 0. |
Value
A vector of p-values the length of 'est'
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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