correct vignette description

.Rhistory

@@ -1,9 +1,3 @@
-c = sample(c("YES","NO",NA),n_obs,replace=TRUE),
-d = runif(n_obs,1,10),
-e = sample(c("YES","NO"), n_obs, replace = TRUE),
-f = sample(c("male","female","trans","other",NA), n_obs, replace = TRUE))
-# Names of bin./cat. variables
-test_bin <- c("c","e")
 test_cat <- c("a","f")
 # Pre-process data
 test_data <- convert(raw_data,
@@ -510,3 +504,9 @@ document()
 document()
 ?midas_setup
 vignette("custom-python")
+library(devtools)
+check()
+release()
+spell_check()
+release()
+setwd("~/Dropbox/rMIDAS")

README.Rmd

@@ -68,10 +68,10 @@ library(rMIDAS)
 # Point to a Python binary
 set_python_env(python = "path/to/python/binary")
 
-# Point to a virtualenv binary
+# Or point to a virtualenv binary
 set_python_env(python = "virtual_env", type = "virtualenv")
 
-# Point to a condaenv, where conda can be supplied to choose a specific executable
+# Or point to a condaenv, where conda can be supplied to choose a specific executable
 set_python_env(python = "conda_env", type = "condaenv", conda = "auto")
 
 # Now run rMIDAS::train() and rMIDAS::complete()...
@@ -83,8 +83,8 @@ set_python_env(python = "conda_env", type = "condaenv", conda = "auto")
 
 **rMIDAS** is packaged with two vignettes:
 
-1. `vignette("impute-demo", "rMIDAS")` demonstrates the basic workflow and capacities of **rMIDAS**
-2. `vignette("custom-python", "rMIDAS")` provides detailed guidance on configuring Python binaries and environments, including some troubleshooting tips
+1. `vignette("imputation_demo", "rMIDAS")` demonstrates the basic workflow and capacities of **rMIDAS**
+2. `vignette("custom_python_versions", "rMIDAS")` provides detailed guidance on configuring Python binaries and environments, including some troubleshooting tips
 
 ## Getting help
 

README.md

@@ -24,8 +24,8 @@ data:
   - `train()` constructs and trains a MIDAS imputation model
   - `complete()` generates multiple completed datasets from the trained
     model
-  - `combine()` estimates regression models on the complete data,
-    employing Rubin’s combination Rules
+  - `combine()` runs regression analysis across the complete data,
+    following Rubin’s combination Rules
 
 **rMIDAS** is based on the Python class
 [MIDASpy](https://github.com/MIDASverse/MIDASpy).
@@ -95,11 +95,11 @@ set_python_env(python = "conda_env", type = "condaenv", conda = "auto")
 
 **rMIDAS** is packaged with two vignettes:
 
-1.  `vignette("impute-demo", "rMIDAS")` demonstrates the basic workflow
-    and capacities of **rMIDAS**
-2.  `vignette("custom-python", "rMIDAS")` provides detailed guidance on
-    configuring Python binaries and environments, including some
-    troubleshooting tips
+1.  `vignette("imputation_demo", "rMIDAS")` demonstrates the basic
+    workflow and capacities of **rMIDAS**
+2.  `vignette("custom_python_versions", "rMIDAS")` provides detailed
+    guidance on configuring Python binaries and environments, including
+    some troubleshooting tips
 
 ## Getting help