docs: sync README sources and figure artifacts

README.Rmd

@@ -1,8 +1,5 @@
 ---
-output:
-  github_document:
-    fig_width: 8
-    fig_height: 5
+output: github_document
 ---
 
 <!-- README.md is generated from README.Rmd. Please edit that file. -->
@@ -11,14 +8,12 @@ output:
 knitr::opts_chunk$set(
   collapse = TRUE,
   comment = "#>",
-  fig.path = "man/figures/README-",
-  dpi = 120,
+  #fig.path = "man/figures/README-",
+  #dpi = 120,
   warning = FALSE,
   message = FALSE
 )
-knitr::opts_knit$set(
-  base.url = "https://github.com/ielbadisy/funcml/raw/main/"
-)
+#knitr::opts_knit$set(base.url = "https://github.com/ielbadisy/funcml/raw/main/")
 pkgload::load_all(".", export_all = FALSE, helpers = FALSE, quiet = TRUE)
 ggplot2::theme_set(theme_funcml())
 set.seed(42)

README.md

@@ -281,7 +281,7 @@ eval_obj
 plot(eval_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-evaluate-plot-1.png)<!-- -->
+![](README_files/figure-gfm/evaluate-plot-1.png)<!-- -->
 
 `funcml` also supports grouped cross-validation, time-based resampling,
 and holdout validation through `group_cv()`, `time_cv()`, and
@@ -324,7 +324,7 @@ tune_obj
 plot(tune_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-tune-plot-1.png)<!-- -->
+![](README_files/figure-gfm/tune-plot-1.png)<!-- -->
 
 ## Compare learners
 
@@ -363,7 +363,7 @@ compare_obj
 plot(compare_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-compare-plot-1.png)<!-- -->
+![](README_files/figure-gfm/compare-plot-1.png)<!-- -->
 
 ## Interpret fitted models
 
@@ -392,7 +392,7 @@ summary(permute_obj)
 plot(permute_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-interpret-permute-plot-1.png)<!-- -->
+![](README_files/figure-gfm/interpret-permute-plot-1.png)<!-- -->
 
 A second example shows accumulated local effects for one feature from
 the same fitted model.
@@ -409,7 +409,7 @@ ale_obj <- interpret(
 plot(ale_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-interpret-ale-1.png)<!-- -->
+![](README_files/figure-gfm/interpret-ale-1.png)<!-- -->
 
 Other supported methods include PDP, ICE, SHAP, local explanations,
 surrogate models, interaction diagnostics, and calibration plots.
@@ -432,7 +432,7 @@ calibration_obj <- interpret(
 plot(calibration_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-calibration-1.png)<!-- -->
+![](README_files/figure-gfm/calibration-1.png)<!-- -->
 
 ## Estimate causal effects
 
@@ -463,7 +463,7 @@ est_obj
 plot(est_obj)
 ```
 
-![](https://github.com/ielbadisy/funcml/raw/main/man/figures/README-estimate-plot-1.png)<!-- -->
+![](README_files/figure-gfm/estimate-plot-1.png)<!-- -->
 
 The same interface also supports `ATT`, `CATE`, and `IATE`.