`summary()` method for `fastglm` fitted objects
# S3 method for class 'fastglm'
summary(
object,
dispersion = NULL,
correlation = FALSE,
symbolic.cor = FALSE,
...
)`fastglm` fitted object
the dispersion parameter for the family used. Either a single numerical value or `NULL` (the default), when it is inferred from `object`.
logical; if `TRUE`, the correlation matrix of the estimated parameters is returned.
logical; if `TRUE`, print the correlations in a symbolic form (see `symnum`) rather than as numbers.
not used
A `summary.fastglm` object
[summary.glm()]
x <- matrix(rnorm(10000 * 10), ncol = 10)
y <- 1 * (0.25 * x[,1] - 0.25 * x[,3] > rnorm(10000))
fit <- fastglm(x, y, family = binomial())
summary(fit)
#>
#> Call:
#> fastglm.default(x = x, y = y, family = binomial())
#>
#> Coefficients:
#> Estimate Std. Error z value Pr(>|z|)
#> X1 0.430087 0.021778 19.748 <2e-16 ***
#> X2 -0.003827 0.021031 -0.182 0.856
#> X3 -0.453793 0.021656 -20.955 <2e-16 ***
#> X4 -0.019732 0.020998 -0.940 0.347
#> X5 -0.008936 0.020556 -0.435 0.664
#> X6 0.009996 0.020965 0.477 0.634
#> X7 -0.008167 0.021143 -0.386 0.699
#> X8 0.029878 0.020820 1.435 0.151
#> X9 -0.024408 0.020823 -1.172 0.241
#> X10 -0.013253 0.020674 -0.641 0.522
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> (Dispersion parameter for binomial family taken to be 1)
#>
#> Null deviance: 13863 on 10000 degrees of freedom
#> Residual deviance: 12981 on 9990 degrees of freedom
#> AIC: 13001
#>
#> Number of Fisher Scoring iterations: 4
#>