diff --git a/DESCRIPTION b/DESCRIPTION index 83637e8..10eb2cc 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -21,7 +21,9 @@ Imports: DRDID, tidyr, dplyr, - pbapply + pbapply, + splines2 Suggests: - testthat (>= 3.0.0) + testthat (>= 3.0.0), + did Config/testthat/edition: 3 diff --git a/NAMESPACE b/NAMESPACE index bbcf312..fd33f63 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -43,6 +43,7 @@ export(setup_pte_basic) export(two_by_two_subset) import(BMisc) import(ggplot2) +import(splines2) import(stats) import(tidyr) import(utils) diff --git a/R/attgt_functions.R b/R/attgt_functions.R index c89fc8c..93dae60 100644 --- a/R/attgt_functions.R +++ b/R/attgt_functions.R @@ -11,7 +11,7 @@ #' (equal to "pre" for pre-treatment periods and equal to "post" for post #' treatment periods), \code{Y} (outcome). #' -#' In our case, we call \code{pte::two_by_two_subset} which sets up the +#' In our case, we call \code{two_by_two_subset} which sets up the #' data to have this format before the call to \code{did_attgt}. #' #' @param gt_data data that is "local" to a particular group-time average @@ -78,7 +78,7 @@ did_attgt <- function(gt_data, xformula = ~1, ...) { #' (equal to "pre" for pre-treatment periods and equal to "post" for post #' treatment periods), \code{Y} (outcome). #' -#' In our case, we call \code{pte::two_by_two_subset} which sets up the +#' In our case, we call \code{two_by_two_subset} which sets up the #' data to have this format before the call to `pte_attgt` #' #' @param gt_data data that is "local" to a particular group-time average @@ -218,5 +218,5 @@ pte_attgt <- function( stop(paste0("est_method: ", est_method, " is not supported")) } # return attgt - pte::attgt_if(attgt = attgt$ATT, inf_func = attgt$att.inf.func) + attgt_if(attgt = attgt$ATT, inf_func = attgt$att.inf.func) } diff --git a/R/classes.R b/R/classes.R index e2783a5..7718e76 100644 --- a/R/classes.R +++ b/R/classes.R @@ -76,6 +76,7 @@ group_time_att <- function(group, #' @param object an \code{group_time_att} object #' @param ... extra arguments #' +#' @keywords internal #' @export summary.group_time_att <- function(object, ...) { group_time_att_obj <- object @@ -123,6 +124,7 @@ summary.group_time_att <- function(object, ...) { #' @param x a \code{group_time_att} object #' @param ... extra arguments #' +#' @keywords internal #' @export print.group_time_att <- function(x, ...) { summary.group_time_att(x, ...) @@ -163,6 +165,7 @@ pte_results <- function(att_gt, #' @param object an \code{pte_results} object #' @param ... other arguments #' +#' @keywords internal #' @export summary.pte_results <- function(object, ...) { overall_att <- object$overall_att$overall.att @@ -233,6 +236,7 @@ summary.pte_results <- function(object, ...) { #' @param x a \code{pte_results} object #' @param ... extra arguments #' +#' @keywords internal #' @export print.pte_results <- function(x, ...) { # summary.pte_results(x,...) @@ -249,6 +253,7 @@ print.pte_results <- function(x, ...) { #' @param x a \code{summary.pte_results} object #' @param ... extra arguments #' +#' @keywords internal #' @export print.summary.pte_results <- function(x, ...) { object <- x @@ -403,6 +408,7 @@ pte_emp_boot <- function(attgt_results, #' #' @return \code{summary.pte_results} object #' +#' @keywords internal #' @export summary.pte_emp_boot <- function(object, ...) { overall_att <- object$overall_results$att diff --git a/R/imports.R b/R/imports.R index fd93c91..9388893 100644 --- a/R/imports.R +++ b/R/imports.R @@ -9,5 +9,6 @@ #' @import ggplot2 #' @import tidyr #' @import BMisc +#' @import splines2 #' @importFrom dplyr bind_rows group_by group_map inner_join mutate transmute "_PACKAGE" diff --git a/R/process_dose_gt.R b/R/process_dose_gt.R index 28ca56e..861f531 100644 --- a/R/process_dose_gt.R +++ b/R/process_dose_gt.R @@ -116,13 +116,13 @@ process_dose_gt <- function(gt_results, ptep, ...) { #' @param dose vector containing the values of the dose used in estimation #' @param att.d estimates of ATT(d) for each value of `dose` #' @param att.d_se standard error of ATT(d) for each value of `dose` -#' @param att.d_crt.val critical value to produce pointwise or uniform confidence +#' @param att.d_crit.val critical value to produce pointwise or uniform confidence #' interval for ATT(d) #' @param att.d_inffunc matrix containing the influence function from estimating #' ATT(d) #' @param acrt.d estimates of ACRT(d) for each value of `dose` #' @param acrt.d_se standard error of ACRT(d) for each value of `dose` -#' @param acrt.d_crt.val critical value to produce pointwise or uniform confidence +#' @param acrt.d_crit.val critical value to produce pointwise or uniform confidence #' interval for ACRT(d) #' @param acrt.d_inffunc matrix containing the influence function from estimating #' ACRT(d) @@ -171,6 +171,7 @@ dose_obj <- function( #' @param object an `dose_obj` object #' @param ... extra arguments #' +#' @keywords internal #' @export summary.dose_obj <- function(object, ...) { dose_obj <- object @@ -201,6 +202,7 @@ summary.dose_obj <- function(object, ...) { #' @param x a list containing the summary of a `dose_obj` object #' @param ... extra arguments #' +#' @keywords internal #' @export print.summary.dose_obj <- function(x, ...) { # browser() diff --git a/R/process_dtt_gt.R b/R/process_dtt_gt.R new file mode 100644 index 0000000..f6ed31f --- /dev/null +++ b/R/process_dtt_gt.R @@ -0,0 +1,3 @@ +process_dtt_gt <- function(gt_results, ptep, ...) { + stop("this is just a stub for processing distributional results, not implemented yet") +} diff --git a/R/pte.R b/R/pte.R index 61b428c..dc3f5c2 100644 --- a/R/pte.R +++ b/R/pte.R @@ -523,7 +523,7 @@ pte <- function(yname, #' should return. This is unused is unused except in cases where #' the results involve distributions. #' -#' @param process_dose An optional function to customize results when the gt-specific +#' @param process_dose_gt_fun An optional function to customize results when the gt-specific #' function returns treatment effects that depend on dose (i.e., amount of the #' treatment). The default is `process_dose_gt`, which is a function provided #' by the package. See that function for an example of what this function should diff --git a/R/pte_aggte.R b/R/pte_aggte.R index 95e4425..d8edea1 100644 --- a/R/pte_aggte.R +++ b/R/pte_aggte.R @@ -490,8 +490,7 @@ crit_val_checks <- function(crit_val, alp = 0.05) { #' #' @description An object for holding aggregated treatment effect parameters. #' -#' @inheritParams aggte -#' @inheritParams compute.aggte +#' @inheritParams pte_aggte #' @param overall.att The estimated overall ATT #' @param overall.se Standard error for overall ATT #' @param egt Holds the length of exposure (for dynamic effects), the @@ -547,6 +546,7 @@ aggte_obj <- function(overall.att = NULL, #' @param object an \code{aggte_obj} object #' @param ... other arguments #' +#' @keywords internal #' @export summary.aggte_obj <- function(object, ...) { # call diff --git a/_pkgdown.yml b/_pkgdown.yml index 84af843..234089a 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -12,3 +12,58 @@ navbar: github: icon: fa-github href: https://github.com/bcallaway11/ptetools + +reference: + - title: Generic functions for panel data causal inference + contents: + - aggte_obj + - attgt_if + - attgt_noif + - attgt_pte_aggregations + - compute.pte + - compute.pte2 + - dose_obj + - group_time_att + - gt_data_frame + - overall_weights + - panel_empirical_bootstrap + - process_att_gt + - pte + - pte2 + - pte_aggte + - pte_attgt + - pte_emp_boot + - pte_params + - pte_results + - setup_pte + - setup_pte_basic + + - title: Group-time average treatment effects with a binary treatment + contents: + - did_attgt + - pte_default + + - title: Functions for dealing with a continuous treatment + contents: + - pte_dose_results + + - title: Functions for dealing with distributional treatment effects + contents: + - qott_pte_aggregations + - qtt_pte_aggregations + + - title: Functions for group-time specific subsets of data + contents: + - keep_all_pretreatment_subset + - keep_all_untreated_subset + - two_by_two_subset + + - title: Plotting functions + contents: + - ggpte + - ggpte_cont + + - title: Helper functions + contents: + - crit_val_checks + - mboot2 diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 7f62c3d..2b36278 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.3 pkgdown: 2.1.0 pkgdown_sha: ~ articles: {} -last_built: 2025-01-31T16:05Z +last_built: 2025-01-31T19:39Z urls: reference: https://github.com/bcallaway11/ptetools/reference article: https://github.com/bcallaway11/ptetools/articles diff --git a/docs/reference/aggte_obj.html b/docs/reference/aggte_obj.html index 83cf4e8..d8f12cb 100644 --- a/docs/reference/aggte_obj.html +++ b/docs/reference/aggte_obj.html @@ -73,6 +73,10 @@

Argumentstype +

The type of aggregation to be done. Default is "overall"

+ +
egt

Holds the length of exposure (for dynamic effects), the group (for selective treatment timing), or the time period (for calendar diff --git a/docs/reference/did_attgt.html b/docs/reference/did_attgt.html index 216b153..95c6cbe 100644 --- a/docs/reference/did_attgt.html +++ b/docs/reference/did_attgt.html @@ -8,7 +8,7 @@ D (treated group identifier), period (time period), name (equal to "pre" for pre-treatment periods and equal to "post" for post treatment periods), Y (outcome). -In our case, we call pte::two_by_two_subset which sets up the +In our case, we call two_by_two_subset which sets up the data to have this format before the call to did_attgt.'> Skip to contents @@ -59,13 +59,13 @@ D (treated group identifier), period (time period), name (equal to "pre" for pre-treatment periods and equal to "post" for post treatment periods), Y (outcome).

-

In our case, we call pte::two_by_two_subset which sets up the +

In our case, we call two_by_two_subset which sets up the data to have this format before the call to did_attgt.

Usage

-
did_attgt(gt_data, xformla, ...)
+
did_attgt(gt_data, xformula = ~1, ...)
@@ -77,7 +77,7 @@

Argumentsxformla +
xformula

one-sided formula for covariates used in the propensity score and outcome regression models

diff --git a/docs/reference/dose_obj.html b/docs/reference/dose_obj.html index c2005bd..cf117f4 100644 --- a/docs/reference/dose_obj.html +++ b/docs/reference/dose_obj.html @@ -69,6 +69,11 @@

Argumentsatt.d_crit.val +

critical value to produce pointwise or uniform confidence +interval for ATT(d)

+ +
att.d_inffunc

matrix containing the influence function from estimating ATT(d)

@@ -82,6 +87,11 @@

Argumentsacrt.d_crit.val +

critical value to produce pointwise or uniform confidence +interval for ACRT(d)

+ +
acrt.d_inffunc

matrix containing the influence function from estimating ACRT(d)

@@ -95,16 +105,6 @@

Argumentsatt.d_crt.val -

critical value to produce pointwise or uniform confidence -interval for ATT(d)

- - -
acrt.d_crt.val
-

critical value to produce pointwise or uniform confidence -interval for ACRT(d)

-

Value

diff --git a/docs/reference/index.html b/docs/reference/index.html index 15a7928..f41f01f 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -28,7 +28,7 @@
-

All functions

+

Generic functions for panel data causal inference

@@ -76,36 +76,12 @@

All functionscrit_val_checks() - - -
crit_val_checks
-
- - did_attgt() - -
-
did_attgt
-
- dose_obj()
dose_obj
- ggpte() - -
-
ggpte
-
- - ggpte_cont() - -
-
ggpte_cont
-
- group_time_att()
@@ -118,119 +94,128 @@

All functionskeep_all_pretreatment_subset() + overall_weights() -
keep_all_pretreatment_subset
+
overall_weights

- keep_all_untreated_subset() + panel_empirical_bootstrap()
-
keep_all_untreated_subset
+
panel_empirical_bootstrap
- mboot2() + process_att_gt()
-
mboot2
+
process_att_gt
- overall_weights() + pte()
-
overall_weights
+
Panel Treatment Effects
- panel_empirical_bootstrap() + pte2()
-
panel_empirical_bootstrap
+
pte2
- print(<group_time_att>) + pte_aggte()
-
print.group_time_att
+
pte_aggte
- print(<pte_results>) + pte_attgt()
-
print.pte_results
+
pte_attgt
- print(<summary.dose_obj>) + pte_emp_boot()
-
print.summary.dose_obj
+
pte_emp_boot
- print(<summary.pte_results>) + pte_params()
-
print.summary.pte_results
+
pte_params
- process_att_gt() + pte_results()
-
process_att_gt
+
pte_results
- pte() + setup_pte()
-
Panel Treatment Effects
+
Setup panel treatment effects parameters
- pte2() + setup_pte_basic()
-
pte2
-
+
Example setup panel treatment effects parameters
+

+

Group-time average treatment effects with a binary treatment

- pte_aggte() - -
pte_aggte
-
- pte_attgt() + +
+ + + + +
+ + did_attgt()
-
pte_attgt
+
did_attgt
pte_default()
pte_default
-
+
+

Functions for dealing with a continuous treatment

+ + + + +
+ + + + +
pte_dose_results()
pte_dose_results
-
+
+

Functions for dealing with distributional treatment effects

- pte_emp_boot() -
-
pte_emp_boot
-
- pte_params() -
-
pte_params
-
+
-
pte_results
-
+ +
qott_pte_aggregations() @@ -242,56 +227,84 @@

All functions +

Functions for group-time specific subsets of data

- setup_pte() -

-
Setup panel treatment effects parameters
-
- setup_pte_basic() + +
+ + + + +
+ + keep_all_pretreatment_subset()
-
Example setup panel treatment effects parameters
+
keep_all_pretreatment_subset
- summary(<aggte_obj>) + keep_all_untreated_subset()
-
Summary Aggregate Treatment Effect Parameter Objects
+
keep_all_untreated_subset
- summary(<dose_obj>) + two_by_two_subset()
-
summary.dose_obj
-
+
two_by_two_subset
+
+

Plotting functions

+ - summary(<group_time_att>) + + +
+ + + + +
+ + ggpte()
-
summary.group_time_att
+
ggpte
- summary(<pte_emp_boot>) + ggpte_cont()
-
summary.pte_emp_boot
-
+
ggpte_cont
+
+

Helper functions

+ + + + +
+ - summary(<pte_results>) + + +
+ + crit_val_checks()
-
summary.pte_results
+
crit_val_checks
- two_by_two_subset() + mboot2()
-
two_by_two_subset
+
mboot2
- +
+

An optional function to customize results when the gt-specific +function returns treatment effects that depend on dose (i.e., amount of the +treatment). The default is process_dose_gt, which is a function provided +by the package. See that function for an example of what this function should +return. This is unused except in cases where the results involve doses.

+ +
biters

number of bootstrap iterations; default is 100

@@ -225,14 +233,6 @@

Argumentsprocess_dose

-

An optional function to customize results when the gt-specific -function returns treatment effects that depend on dose (i.e., amount of the -treatment). The default is process_dose_gt, which is a function provided -by the package. See that function for an example of what this function should -return. This is unused except in cases where the results involve doses.

-

Value

diff --git a/docs/reference/pte_attgt.html b/docs/reference/pte_attgt.html index 0ceb2df..0f9e615 100644 --- a/docs/reference/pte_attgt.html +++ b/docs/reference/pte_attgt.html @@ -8,7 +8,7 @@ G (group identifier), period (time period), name (equal to "pre" for pre-treatment periods and equal to "post" for post treatment periods), Y (outcome). -In our case, we call pte::two_by_two_subset which sets up the +In our case, we call two_by_two_subset which sets up the data to have this format before the call to pte_attgt'> Skip to contents @@ -59,7 +59,7 @@ G (group identifier), period (time period), name (equal to "pre" for pre-treatment periods and equal to "post" for post treatment periods), Y (outcome).

-

In our case, we call pte::two_by_two_subset which sets up the +

In our case, we call two_by_two_subset which sets up the data to have this format before the call to pte_attgt

@@ -67,7 +67,7 @@

Usage

pte_attgt(
   gt_data,
-  xformla,
+  xformula,
   d_outcome = FALSE,
   d_covs_formula = ~-1,
   lagged_outcome_cov = FALSE,
@@ -85,7 +85,7 @@ 

Argumentsxformla +
xformula

one-sided formula for covariates used in the propensity score and outcome regression models

diff --git a/docs/reference/pte_default.html b/docs/reference/pte_default.html index efb9323..44eaaf1 100644 --- a/docs/reference/pte_default.html +++ b/docs/reference/pte_default.html @@ -50,7 +50,7 @@

Usage tname, idname, data, - xformla = ~1, + xformula = ~1, d_outcome = FALSE, d_covs_formula = ~-1, lagged_outcome_cov = FALSE, @@ -91,7 +91,7 @@

Argumentsxformla +
xformula

one-sided formula for covariates used in the propensity score and outcome regression models

diff --git a/man/aggte_obj.Rd b/man/aggte_obj.Rd index d919633..d4dd50a 100644 --- a/man/aggte_obj.Rd +++ b/man/aggte_obj.Rd @@ -25,6 +25,8 @@ aggte_obj( \item{overall.se}{Standard error for overall ATT} +\item{type}{The type of aggregation to be done. Default is "overall"} + \item{egt}{Holds the length of exposure (for dynamic effects), the group (for selective treatment timing), or the time period (for calendar time effects)} diff --git a/man/did_attgt.Rd b/man/did_attgt.Rd index 7de4cc7..eac3e3a 100644 --- a/man/did_attgt.Rd +++ b/man/did_attgt.Rd @@ -4,13 +4,13 @@ \alias{did_attgt} \title{did_attgt} \usage{ -did_attgt(gt_data, xformla = ~1, ...) +did_attgt(gt_data, xformula = ~1, ...) } \arguments{ \item{gt_data}{data that is "local" to a particular group-time average treatment effect} -\item{xformla}{one-sided formula for covariates used in the propensity score +\item{xformula}{one-sided formula for covariates used in the propensity score and outcome regression models} \item{...}{extra function arguments; not used here} @@ -30,6 +30,6 @@ In particular, there should be an \code{id} column (individual identifier), (equal to "pre" for pre-treatment periods and equal to "post" for post treatment periods), \code{Y} (outcome). -In our case, we call \code{pte::two_by_two_subset} which sets up the +In our case, we call \code{two_by_two_subset} which sets up the data to have this format before the call to \code{did_attgt}. } diff --git a/man/dose_obj.Rd b/man/dose_obj.Rd index 89db99a..a3ac9fe 100644 --- a/man/dose_obj.Rd +++ b/man/dose_obj.Rd @@ -25,6 +25,9 @@ dose_obj( \item{att.d_se}{standard error of ATT(d) for each value of \code{dose}} +\item{att.d_crit.val}{critical value to produce pointwise or uniform confidence +interval for ATT(d)} + \item{att.d_inffunc}{matrix containing the influence function from estimating ATT(d)} @@ -32,6 +35,9 @@ ATT(d)} \item{acrt.d_se}{standard error of ACRT(d) for each value of \code{dose}} +\item{acrt.d_crit.val}{critical value to produce pointwise or uniform confidence +interval for ACRT(d)} + \item{acrt.d_inffunc}{matrix containing the influence function from estimating ACRT(d)} @@ -39,12 +45,6 @@ ACRT(d)} \item{call}{the original call to the function for computing causal effect parameters with a continuous treatment} - -\item{att.d_crt.val}{critical value to produce pointwise or uniform confidence -interval for ATT(d)} - -\item{acrt.d_crt.val}{critical value to produce pointwise or uniform confidence -interval for ACRT(d)} } \value{ dose_obj diff --git a/man/print.group_time_att.Rd b/man/print.group_time_att.Rd index a97db63..fcf4b84 100644 --- a/man/print.group_time_att.Rd +++ b/man/print.group_time_att.Rd @@ -14,3 +14,4 @@ \description{ prints value of a \code{group_time_att} object } +\keyword{internal} diff --git a/man/print.pte_results.Rd b/man/print.pte_results.Rd index 51b5b72..b382a3e 100644 --- a/man/print.pte_results.Rd +++ b/man/print.pte_results.Rd @@ -14,3 +14,4 @@ \description{ prints value of a \code{pte_results} object } +\keyword{internal} diff --git a/man/print.summary.dose_obj.Rd b/man/print.summary.dose_obj.Rd index 512dbe2..e40ebfb 100644 --- a/man/print.summary.dose_obj.Rd +++ b/man/print.summary.dose_obj.Rd @@ -14,3 +14,4 @@ \description{ prints a summary of a \code{dose_obj} object } +\keyword{internal} diff --git a/man/print.summary.pte_results.Rd b/man/print.summary.pte_results.Rd index b87b285..0dfa8ce 100644 --- a/man/print.summary.pte_results.Rd +++ b/man/print.summary.pte_results.Rd @@ -14,3 +14,4 @@ \description{ prints value of a \code{summary.pte_results} object } +\keyword{internal} diff --git a/man/pte2.Rd b/man/pte2.Rd index b20c5aa..a849b9a 100644 --- a/man/pte2.Rd +++ b/man/pte2.Rd @@ -143,6 +143,12 @@ provided by the package. See that function for an example of what this function should return. This is unused is unused except in cases where the results involve distributions.} +\item{process_dose_gt_fun}{An optional function to customize results when the gt-specific +function returns treatment effects that depend on dose (i.e., amount of the +treatment). The default is \code{process_dose_gt}, which is a function provided +by the package. See that function for an example of what this function should +return. This is unused except in cases where the results involve doses.} + \item{biters}{number of bootstrap iterations; default is 100} \item{cl}{number of clusters to be used when bootstrapping; default is 1} @@ -152,12 +158,6 @@ of the data (depending on \code{subset_fun}), to estimate group time average treatment effects (depending on \code{attgt_fun}), or to aggregating treatment effects (particularly useful are \code{min_e}, \code{max_e}, and \code{balance_e} arguments to event study aggregations)} - -\item{process_dose}{An optional function to customize results when the gt-specific -function returns treatment effects that depend on dose (i.e., amount of the -treatment). The default is \code{process_dose_gt}, which is a function provided -by the package. See that function for an example of what this function should -return. This is unused except in cases where the results involve doses.} } \value{ \code{pte_results} object diff --git a/man/pte_attgt.Rd b/man/pte_attgt.Rd index f0afb61..66113d8 100644 --- a/man/pte_attgt.Rd +++ b/man/pte_attgt.Rd @@ -6,7 +6,7 @@ \usage{ pte_attgt( gt_data, - xformla, + xformula, d_outcome = FALSE, d_covs_formula = ~-1, lagged_outcome_cov = FALSE, @@ -18,7 +18,7 @@ pte_attgt( \item{gt_data}{data that is "local" to a particular group-time average treatment effect} -\item{xformla}{one-sided formula for covariates used in the propensity score +\item{xformula}{one-sided formula for covariates used in the propensity score and outcome regression models} \item{d_outcome}{Whether or not to take the first difference of the outcome. @@ -51,6 +51,6 @@ In particular, there should be an \code{id} column (individual identifier), (equal to "pre" for pre-treatment periods and equal to "post" for post treatment periods), \code{Y} (outcome). -In our case, we call \code{pte::two_by_two_subset} which sets up the +In our case, we call \code{two_by_two_subset} which sets up the data to have this format before the call to \code{pte_attgt} } diff --git a/man/pte_default.Rd b/man/pte_default.Rd index 299e91e..a5c82ae 100644 --- a/man/pte_default.Rd +++ b/man/pte_default.Rd @@ -37,6 +37,9 @@ pte_default( \item{data}{balanced panel data} +\item{xformula}{one-sided formula for covariates used in the propensity score +and outcome regression models} + \item{d_outcome}{Whether or not to take the first difference of the outcome. The default is FALSE. To use difference-in-differences, set this to be TRUE.} diff --git a/man/summary.aggte_obj.Rd b/man/summary.aggte_obj.Rd index 6bfe48b..fe3e890 100644 --- a/man/summary.aggte_obj.Rd +++ b/man/summary.aggte_obj.Rd @@ -14,3 +14,4 @@ \description{ A function to summarize aggregated treatment effect parameters. } +\keyword{internal} diff --git a/man/summary.dose_obj.Rd b/man/summary.dose_obj.Rd index 1076886..e095ae1 100644 --- a/man/summary.dose_obj.Rd +++ b/man/summary.dose_obj.Rd @@ -14,3 +14,4 @@ \description{ summarizes a \code{dose_obj} object } +\keyword{internal} diff --git a/man/summary.group_time_att.Rd b/man/summary.group_time_att.Rd index ebb1a8a..2fd6e84 100644 --- a/man/summary.group_time_att.Rd +++ b/man/summary.group_time_att.Rd @@ -14,3 +14,4 @@ \description{ prints a summary of a \code{group_time_att} object } +\keyword{internal} diff --git a/man/summary.pte_emp_boot.Rd b/man/summary.pte_emp_boot.Rd index 8c696a5..669e89e 100644 --- a/man/summary.pte_emp_boot.Rd +++ b/man/summary.pte_emp_boot.Rd @@ -17,3 +17,4 @@ \description{ Summary for \code{pte_emp_boot} object } +\keyword{internal} diff --git a/man/summary.pte_results.Rd b/man/summary.pte_results.Rd index a7fb671..7474be6 100644 --- a/man/summary.pte_results.Rd +++ b/man/summary.pte_results.Rd @@ -14,3 +14,4 @@ \description{ A function to summarize \code{pte} results. } +\keyword{internal}