more updates

Project.toml

@@ -1,15 +1,7 @@
 name = "TMLE"
 uuid = "8afdd2fb-6e73-43df-8b62-b1650cd9c8cf"
 authors = ["Olivier Labayle"]
-version = "0.11.4"
-
-[weakdeps]
-CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
-GraphMakie = "1ecd5474-83a3-4783-bb4f-06765db800d2"
-Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
-
-[extensions]
-GraphsTMLEExt = ["Graphs", "CairoMakie", "GraphMakie"]
+version = "0.12.0"
 
 [deps]
 AbstractDifferentiation = "c29ec348-61ec-40c8-8164-b8c60e9d9f3d"
@@ -36,7 +28,7 @@ AbstractDifferentiation = "0.4, 0.5"
 CategoricalArrays = "0.10"
 Distributions = "0.25"
 GLM = "1.8.2"
-HypothesisTests = "0.10"
+HypothesisTests = "0.10, 0.11"
 LogExpFunctions = "0.3"
 MLJBase = "0.19, 0.20, 0.21"
 MLJGLMInterface = "0.3.4"
@@ -48,7 +40,4 @@ TableOperations = "1.2"
 Tables = "1.6"
 YAML = "0.4"
 Zygote = "0.6"
-Graphs = "1.8.0"
-GraphMakie = "0.5.5"
-CairoMakie = "0.10"
 julia = "1.6, 1.7, 1"

README.md

@@ -5,14 +5,6 @@
 ![Codecov](https://img.shields.io/codecov/c/github/TARGENE/TMLE.jl/main)
 ![GitHub release (latest SemVer)](https://img.shields.io/github/v/release/TARGENE/TMLE.jl)
 
-Targeted Minimum Loss-Based Estimation (TMLE) is a framework for efficient estimation of pathwise differentiable estimands. The goal of this package is to provide an implementation on top of the [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/) framework.
+This package enables the estimation of various Causal Inference related estimands using Targeted Minimum Loss-Based Estimation (TMLE). TMLE.jl is based on top of [MLJ](https://alan-turing-institute.github.io/MLJ.jl/dev/), which means any MLJ compliant machine-learning model can be used here.
 
-**New to TMLE.jl?** The API design is still work in progress but you can already [get started now](https://targene.github.io/TMLE.jl/stable/)
-
-## TODO
-
-- Check parameter definition
-- Fix tests
-- Simplify code
-- More API
-- Documentation update
+**New to TMLE.jl?** [Get started now](https://targene.github.io/TMLE.jl/stable/)