R: Summary Method of class BTSR

summary {BTSR}

R Documentation

Summary Method of class BTSR

Description

summary method for class "btsr".

Usage

## S3 method for class 'btsr'
summary(object, ...)

## S3 method for class 'summary.btsr'
print(x, digits = max(3L, getOption("digits") - 3L),
  signif.stars = getOption("show.signif.stars"), ...)

Arguments

`object`	object of class `"btsr"`.
`...`	further arguments passed to or from other methods.
`x`	an object of class `"summary.btsr"`, usually, a result of a call to `summary.btsr`.
`digits`	minimal number of significant digits, see `print.default`.
`signif.stars`	logical. If `TRUE`, ‘significance stars’ are printed for each coefficient.

Details

print.summary.btsr tries to be smart about formatting the coefficients, standard errors, etc. and additionally provides ‘significance stars’.

Value

The function summary.btsr computes and returns a list of summary statistics of the fitted model given in object. Returns a list of class summary.btsr, which contains the following components:

`model`	the corresponding model.
`call`	the matched call.
`residuals`	the residuals of the model. Depends on the definition of `error.scale`. If error.scale= 1, `residuals = g(y) - g(\mu)`. If error.scale = 0, `residuals = y - \mu`.
`coefficients`	a `k \times 4` matrix with columns for the estimated coefficient, its standard error, z-statistic and corresponding (two-sided) p-value. Aliased coefficients are omitted.
`aliased`	named logical vector showing if the original coefficients are aliased.
`sigma.res`	the square root of the estimated variance of the random error `\hat\sigma^2 = \frac{1}{n-k}\sum_i{r_i^2},` where `r_i` is the `i`-th residual, `residuals[i]`.
`df`	degrees of freedom, a 3-vector `(k, n-k, k*)`, the first being the number of non-aliased coefficients, the last being the total number of coefficients.
`vcov`	a `k \times k` matrix of (unscaled) covariances. The inverse ov the information matrix.
`loglik`	the sum of the log-likelihood values
`aic`	the AIC value. `AIC = -2loglik+2k`.
`bic`	the BIC value. `BIC = -2loglik + log(n)k`.
`hqc`	the HQC value. `HQC = -2loglik + log(log(n))k`.

[Package BTSR version 0.1.5 Index]