unexport

NAMESPACE

@@ -1,15 +1,5 @@
 # Generated by roxygen2: do not edit by hand
 
-export(DID_EC_AIPW)
-export(DID_EC_AIPW_bootstrap)
-export(DID_EC_IPW)
-export(DID_EC_IPW_bootstrap)
-export(DID_EC_OR)
-export(DID_EC_OR_bootstrap)
-export(EC_AIPW_OPT)
-export(EC_AIPW_OPT_bootstrap)
-export(EC_IPW_OPT)
-export(EC_IPW_OPT_bootstrap)
 export(run_analysis)
 export(run_simulation)
 export(setup_analysis_OLE)

R/DID_EC_AIPW.R

@@ -19,7 +19,7 @@
 #'
 #' @include DID_EC_AIPW_bootstrap.R
 #' @return tau and standard deviation
-#' @export
+#' @noRd
 #'
 DID_EC_AIPW <- function(data,
                         outcome_col_name,

R/DID_EC_AIPW_bootstrap.R

@@ -12,7 +12,7 @@
 #' @param model_form_mu0_ext Formula string(s) for the external control outcome model.
 #'
 #' @return tau and standard deviation
-#' @export
+#' @noRd
 #'
 #' @examples
 #' \dontrun{

R/DID_EC_IPW.R

@@ -16,7 +16,7 @@
 #'
 #' @include DID_EC_IPW_bootstrap.R
 #' @return tau and standard deviation
-#' @export
+#' @noRd
 #'
 DID_EC_IPW <- function(data,
                        outcome_col_name,

R/DID_EC_IPW_bootstrap.R

@@ -11,7 +11,7 @@
 #' @param model_form_piA Formula string for the treatment assignment model.
 #'
 #' @return Named numeric vector of treatment effect estimates.
-#' @export
+#' @noRd
 #'
 DID_EC_IPW_bootstrap <- function(data,
                                  indices,

R/DID_EC_OR.R

@@ -17,7 +17,7 @@
 #'
 #' @include DID_EC_OR_bootstrap.R
 #' @return tau and standard deviation
-#' @export
+#' @noRd
 #'
 #' @examples
 #' \dontrun{

R/DID_EC_OR_bootstrap.R

@@ -12,7 +12,7 @@
 #' @param model_form_mu1_rct Formula string(s) for the RCT treatment outcome model.
 #'
 #' @return tau and standard deviation
-#' @export
+#' @noRd
 #'
 #' @examples
 #' \dontrun{

R/EC_AIPW_OPT.R

@@ -17,7 +17,7 @@
 #'
 #' @include EC_AIPW_OPT_bootstrap.R
 #' @return a list containing: tau (effect size), sd.tau (standard deviation), wt (weight)
-#' @export
+#' @noRd
 #' @examples
 #' \dontrun{
 #' res <- EC_AIPW_OPT(

R/EC_AIPW_OPT_bootstrap.R

@@ -12,7 +12,7 @@
 #' @param wt Numeric fixed borrowing weight.
 #'
 #' @return a list containing: tau (effect size), sd.tau (standard deviation), wt (weight)
-#' @export
+#' @noRd
 #' @examples
 #' \dontrun{
 #' res <- EC_AIPW_OPT(

R/EC_IPW_OPT.R

@@ -17,7 +17,7 @@
 #'
 #' @include EC_IPW_OPT_bootstrap.R
 #' @return a list containing: tau (effect size), sd.tau (standard deviation), wt (weight)
-#' @export
+#' @noRd
 #'
 #' @examples
 #' \dontrun{

R/EC_IPW_OPT_bootstrap.R

@@ -11,7 +11,7 @@
 #' @param wt Numeric fixed borrowing weight.
 #'
 #' @return a list containing: tau (effect size), sd.tau (standard deviation), wt (weight)
-#' @export
+#' @noRd
 #'
 #' @examples
 #' \dontrun{

R/SCM.R

@@ -24,7 +24,7 @@
 #' @return A list contains: estimated ATE, SE, weight used, SE by Bootstrap
 #'   and a 95% confidence interval for primary endpoint (only when
 #'   Bootstrap=TRUE)
-#'
+#' @noRd
 SCM <- function(data,
                 outcome_col_name,
                 trial_status_col_name,
@@ -207,7 +207,7 @@ SCM <- function(data,
 #' @param X00 Matrix of external control subjects (attributes by columns).
 #' @param long_term_col_name Character vector of long-term outcome column names.
 #' @param lambda Numeric penalty parameter.
-
+#' @noRd
 subject_SC <- function(subject, X10, X00, long_term_col_name, lambda) {
   # subset to only the intersted subject and matching vars
   x1 <- X10[-which(row.names(X10) %in% long_term_col_name), subject]
@@ -239,7 +239,7 @@ subject_SC <- function(subject, X10, X00, long_term_col_name, lambda) {
 #' @param lambda.max Numeric. Maximum penalty parameter.
 #' @param nlambda Integer. Number of lambda values to evaluate.
 #' @param pb A progress bar object or \code{NULL}.
-
+#' @noRd
 lambdacv <- function(ec,
                      long_term_col_name,
                      lambda.min = 0,

_pkgdown.yml

@@ -55,31 +55,6 @@ reference:
       - setup_method_SCM
       - setup_bootstrap
 
-  - title: Weighting Estimators
-    desc: IPW and AIPW methods for primary analysis
-    contents:
-      - EC_IPW_OPT
-      - EC_IPW_OPT_bootstrap
-      - EC_AIPW_OPT
-      - EC_AIPW_OPT_bootstrap
-
-  - title: Difference-in-Differences Estimators
-    desc: DID methods for OLE analysis
-    contents:
-      - DID_EC_IPW
-      - DID_EC_IPW_bootstrap
-      - DID_EC_AIPW
-      - DID_EC_AIPW_bootstrap
-      - DID_EC_OR
-      - DID_EC_OR_bootstrap
-
-  - title: Synthetic Control Method
-    desc: SCM estimator and helpers
-    contents:
-      - SCM
-      - subject_SC
-      - lambdacv
-
   - title: Data Generation
     desc: Simulate trial data
     contents: