Doc and README.md fixes

Remove list of extractors which are documented in StatsBase (the docstrings where out of sync for coeftable). Remove outdated references in README and add new badges.
JuliaStats · May 20, 2017 · a49af01 · a49af01
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diff --git a/README.md b/README.md
@@ -1,13 +1,13 @@
 # Linear models (lm's) and generalized linear models (glm's) in Julia
 
 [![Travis](https://travis-ci.org/JuliaStats/GLM.jl.svg?branch=master)](https://travis-ci.org/JuliaStats/GLM.jl)
-[![GLM](http://pkg.julialang.org/badges/GLM_0.4.svg)](http://pkg.julialang.org/?pkg=GLM)
+[![Coverage Status](https://coveralls.io/repos/github/JuliaStats/GLM.jl/badge.svg?branch=master)](https://coveralls.io/github/JuliaStats/GLM.jl?branch=master)
 [![GLM](http://pkg.julialang.org/badges/GLM_0.5.svg)](http://pkg.julialang.org/?pkg=GLM)
+[![GLM](http://pkg.julialang.org/badges/GLM_0.6.svg)](http://pkg.julialang.org/?pkg=GLM)
 
 ## Older versions
 
 This documentation applies to the current version of GLM.jl, which requires Julia 0.5 or later.
-You may also be interested in the documentation for [GLM.jl 0.2.5](https://github.com/JuliaStats/GLM.jl/tree/v0.2.5), the last release for Julia 0.2, or [GLM.jl 0.4.8](https://github.com/JuliaStats/GLM.jl/tree/v0.4.8), the last release for Julia 0.3.
 
 ## Installation
 

diff --git a/doc/index.rst b/doc/index.rst
@@ -105,23 +105,10 @@ Constructors
 Extractors
 ----------
 
-These extractors are defined for ``m`` of type
-:type:`LinPredModel`.
-
-.. function:: coef(m) -> Vector{Float64}
-
-   Coefficient estimates
-
-.. function:: coeftable(m) -> DataFrame
-
-   A dataframe with the current fixed-effects parameter vector, the
-   standard errors, their ratio and the p-value for the ratio.
-
-.. function:: confint(m[, level]) -> Matrix{Float64}
-
-   A matrix of the lower and upper end-points of the (marginal)
-   confidence intervals on the coefficients.  The confidence level,
-   ``level``, defaults to 0.95.
+These extractors are defined for ``m`` of type :type:`LinPredModel`. Other
+extractors from the StatsBase package and applicable to any ``StatisticalModel``
+object can also be used.
+See `the StatsBase documentation <http://statsbasejl.readthedocs.io/en/latest/statmodels.html>`__.
 
 .. function:: dispersion(m, sqr=false) -> Float64
 
@@ -131,13 +118,6 @@ These extractors are defined for ``m`` of type
 
    If ``sqr`` is ``true``, the squared parameter is returned.
 
-.. function:: stderr(m) -> Vector{Float64}
-
-   Standard errors of the fixed-effects parameters
-
-.. function:: vcov(m) -> Matrix{Float64}
-
-   Estimated variance-covariance matrix of the fixed-effects parameters
 
 Indices and tables
 ==================