Fix base url

DeclareDesign · May 8, 2018 · 3c59884 · 3c59884
1 parent d208478
commit 3c59884
Show file tree

Hide file tree

Showing 18 changed files with 25 additions and 27 deletions.
diff --git a/R/estimatr_difference_in_means.R b/R/estimatr_difference_in_means.R
@@ -53,7 +53,7 @@
 #' to \code{\link{lm_robust}} with the appropriate robust standard errors
 #' as weighted difference-in-means estimators are not implemented here.
 #' More details of the about each of the estimators can be found in the
-#' \href{https://estimatr.declaredesign.org/articles/mathematical-notes.html}{mathematical notes}.
+#' \href{https://declaredesign.org/R/estimatr/articles/mathematical-notes.html}{mathematical notes}.
 #'
 #' @return Returns an object of class \code{"difference_in_means"}.
 #'

diff --git a/R/estimatr_horvitz_thompson.R b/R/estimatr_horvitz_thompson.R
@@ -67,7 +67,7 @@
 #' treatment conditions.
 #'
 #' Users interested in more details can see the
-#' \href{https://estimatr.declaredesign.org/articles/mathematical-notes.html}{mathematical notes}
+#' \href{https://declaredesign.org/R/estimatr/articles/mathematical-notes.html}{mathematical notes}
 #' for more information and references, or see the references below.
 #'
 #' There are three distinct ways that users can specify the design to the

diff --git a/R/estimatr_iv_robust.R b/R/estimatr_iv_robust.R
@@ -48,7 +48,7 @@
 #' endogenous regressors, and the residuals used are the difference
 #' between the outcome and a fit produced by the second-stage coefficients and the
 #' first-stage (endogenous) regressors. More notes on this can be found at
-#' \href{https://estimatr.declaredesign.org/articles/mathematical-notes.html}{the mathematical appendix}.
+#' \href{https://declaredesign.org/R/estimatr/articles/mathematical-notes.html}{the mathematical appendix}.
 #'
 #' @return An object of class \code{"iv_robust"}.
 #'

diff --git a/R/estimatr_lm_lin.R b/R/estimatr_lm_lin.R
@@ -41,9 +41,9 @@
 #' multiple values, a series of dummies for each value is created and each of
 #' those is interacted with the demeaned covariates. More details can be found
 #' in the
-#' \href{https://estimatr.declaredesign.org/articles/getting-started.html}{Getting Started vignette}
+#' \href{https://declaredesign.org/R/estimatr/articles/getting-started.html}{Getting Started vignette}
 #' and the
-#' \href{https://estimatr.declaredesign.org/articles/mathematical-notes.html}{mathematical notes}.
+#' \href{https://declaredesign.org/R/estimatr/articles/mathematical-notes.html}{mathematical notes}.
 #'
 #' @return An object of class \code{"lm_robust"}.
 #'

diff --git a/R/estimatr_lm_robust.R b/R/estimatr_lm_robust.R
@@ -33,10 +33,10 @@
 #' does, and all auxiliary variables, such as clusters and weights, can be
 #' passed either as quoted names of columns, as bare column names, or
 #' as a self-contained vector. Examples of usage can be seen below and in the
-#' \href{https://estimatr.declaredesign.org/articles/getting-started.html}{Getting Started vignette}.
+#' \href{https://declaredesign.org/R/estimatr/articles/getting-started.html}{Getting Started vignette}.
 #'
 #' The mathematical notes in
-#' \href{https://estimatr.declaredesign.org/articles/mathematical-notes.html}{this vignette}
+#' \href{https://declaredesign.org/R/estimatr/articles/mathematical-notes.html}{this vignette}
 #' specify the exact estimators used by this function.
 #' The default variance estimators have been chosen largely in accordance with the
 #' procedures in

diff --git a/README.md b/README.md
@@ -9,7 +9,7 @@ Technical papers and textbooks demand complex estimation strategies that are oft
 
 **estimatr** provides a small set of commonly-used estimators (methods for estimating quantities of interest like treatment effects or regression parameters), using `C++` for speed, and implemented in `R` with simple, accessible syntax. We include two functions that implement means estimators, `difference_in_means()` and `horvitz_thompson()`. In addition, we include three functions for linear regression estimators, `lm_robust()`, `lm_lin()`, and `iv_robust()`. In each case, scientists can choose an estimator to reflect cluster-randomized, block-randomized, and block-and-cluster-randomized designs. The [Getting Started Guide](articles/getting-started.html) describes each estimator provided by **estimatr** and how it can be used in your analysis.
 
-Fast estimators also enable fast simulation of research designs to learn about their properties (see [DeclareDesign](declaredesign.org/)).
+Fast estimators also enable fast simulation of research designs to learn about their properties (see [DeclareDesign](declaredesign.org)).
 
 Installing estimatr
 -------------------

diff --git a/docs/index.html b/docs/index.html
diff --git a/docs/reference/declaration_to_condition_pr_mat.html b/docs/reference/declaration_to_condition_pr_mat.html
diff --git a/docs/reference/difference_in_means.html b/docs/reference/difference_in_means.html
diff --git a/docs/reference/horvitz_thompson.html b/docs/reference/horvitz_thompson.html
diff --git a/docs/reference/iv_robust.html b/docs/reference/iv_robust.html
diff --git a/docs/reference/lm_lin.html b/docs/reference/lm_lin.html
diff --git a/docs/reference/lm_robust.html b/docs/reference/lm_robust.html
diff --git a/man/difference_in_means.Rd b/man/difference_in_means.Rd
diff --git a/man/horvitz_thompson.Rd b/man/horvitz_thompson.Rd
diff --git a/man/iv_robust.Rd b/man/iv_robust.Rd
diff --git a/man/lm_lin.Rd b/man/lm_lin.Rd
diff --git a/man/lm_robust.Rd b/man/lm_robust.Rd