Merge pull request #20 from dobengjhu/release_1_0_0

Release 1 0 0

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: multicate
-Title: Estimate Combined Conditional Average Treatment Effect And Predict Against Target Population
-Version: 0.0.0.9000
+Title: Estimate Conditional Average Treatment Effect from Multiple Studies and Predict in Target Population
+Version: 1.0.0
 Authors@R: c(
     person("Daniel", "Obeng", , "[email protected]", role = "cre"),
     person("Carly", "Brantner", , "[email protected]", role = "aut"),

NEWS.md

@@ -0,0 +1,24 @@
+# multicate 1.0.0
+
+## First Public Release
+This is the first official release of `multicate`! The package provides functions for performing 
+machine learning methods that estimate theconditional average treatment effect (CATE) by combining 
+data from multiple studies. Additionalfunctions can be used to estimate prediction intervals for the 
+CATE in a target sample based on the aforementioned models.
+
+### Features 
+- Implements `estimate_cate()` which estimates conditional average treatment effect (CATE) from 
+multiple studies.
+- Supports custom summarization and visualizations with `summary.cate()` and `plot.cate()` (S3) and 
+`plot_vteffect()`.
+- Provides `predict.cate()` (S3) that generates prediction intervals for covariate profiles
+in target dataset based on CATE model.
+- Includes built-in dataset `dummy_tbl` for testing.
+- Comprehensive documentation and examples included.
+
+### Installation
+Install from Github:
+``` r
+# install.packages("pak")
+pak::pak("dobengjhu/multicate")
+```

renv.lock

@@ -1006,7 +1006,7 @@
     },
     "purrr": {
       "Package": "purrr",
-      "Version": "1.0.2",
+      "Version": "1.0.4",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
@@ -1017,7 +1017,7 @@
         "rlang",
         "vctrs"
       ],
-      "Hash": "1cba04a4e9414bdefc9dcaa99649a8dc"
+      "Hash": "cc8b5d43f90551fa6df0a6be5d640a4f"
     },
     "ranger": {
       "Package": "ranger",
@@ -1054,14 +1054,14 @@
     },
     "rlang": {
       "Package": "rlang",
-      "Version": "1.1.4",
+      "Version": "1.1.5",
       "Source": "Repository",
-      "Repository": "RSPM",
+      "Repository": "CRAN",
       "Requirements": [
         "R",
         "utils"
       ],
-      "Hash": "3eec01f8b1dee337674b2e34ab1f9bc1"
+      "Hash": "724dcc1490cd7071ee75ca2994a5446e"
     },
     "rmarkdown": {
       "Package": "rmarkdown",
@@ -1199,7 +1199,7 @@
     },
     "testthat": {
       "Package": "testthat",
-      "Version": "3.2.1.1",
+      "Version": "3.2.3",
       "Source": "Repository",
       "Repository": "CRAN",
       "Requirements": [
@@ -1224,7 +1224,7 @@
         "waldo",
         "withr"
       ],
-      "Hash": "3f6e7e5e2220856ff865e4834766bf2b"
+      "Hash": "42f889439ccb14c55fc3d75c9c755056"
     },
     "tibble": {
       "Package": "tibble",