From ee30844234ee460374ac7a1d7f67e8ee3fc0757d Mon Sep 17 00:00:00 2001 From: "Isabella Stallworthy, PhD" Date: Tue, 8 Oct 2024 14:51:51 -0400 Subject: [PATCH] desc --- DESCRIPTION | 5 ++--- man/devMSMs-package.Rd | 6 +----- vignettes/Workflow_Continuous_Exposure.qmd | 10 +++++----- 3 files changed, 8 insertions(+), 13 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 2a36484f..ae68a43e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -7,9 +7,8 @@ Authors@R: c(person("Isabella", "Stallworthy", email = "istall@seas.upenn.edu", comment=c(ORCID="0000-0003-3067-7154")), person("Meriah", "DeJoseph", email = "meriahd@stanford.edu", role = c("aut")), person("Emily", "Padrutt", email = "padru004@umn.edu", role = c("aut")), - person("Kyle", "Butts", email = "buttskyle96@gmail.com", role = c("aut", ctb")), - person("Daniel", "Berry", email = "dberry@umn.edu", role = c("aut")) -) + person("Kyle", "Butts", email = "buttskyle96@gmail.com", role = c("aut", "ctb")), + person("Daniel", "Berry", email = "dberry@umn.edu", role = c("aut"))) Description: Functions for implementing MSMS with longitudinal data. License: GPL-3 Encoding: UTF-8 diff --git a/man/devMSMs-package.Rd b/man/devMSMs-package.Rd index 14b73169..cd922897 100644 --- a/man/devMSMs-package.Rd +++ b/man/devMSMs-package.Rd @@ -24,12 +24,8 @@ Authors: \item Noah Greifer \email{noah.greifer@gmail.com} (\href{https://orcid.org/0000-0003-3067-7154}{ORCID}) [contributor] \item Meriah DeJoseph \email{meriahd@stanford.edu} \item Emily Padrutt \email{padru004@umn.edu} - \item Daniel Berry \email{dberry@umn.edu} -} - -Other contributors: -\itemize{ \item Kyle Butts \email{buttskyle96@gmail.com} [contributor] + \item Daniel Berry \email{dberry@umn.edu} } } diff --git a/vignettes/Workflow_Continuous_Exposure.qmd b/vignettes/Workflow_Continuous_Exposure.qmd index dabf1935..9f181ae3 100644 --- a/vignettes/Workflow_Continuous_Exposure.qmd +++ b/vignettes/Workflow_Continuous_Exposure.qmd @@ -459,7 +459,7 @@ weights.cbps <- createWeights(obj = obj, method = method, formulas = formulas, verbose = TRUE, - maxit = 1, # just for testing to speed up --will remove + maxit = 1, # just for testing to speed up save.out = save.out) ``` @@ -535,16 +535,16 @@ As shown above, the GLM method produces a higher median of 1.27 and a much great # weights.gbm <- createWeights(obj = obj, # data = data, # method = method, -# formulas = formulas, +# formulas = formulas, # save.out = save.out) # -# print(weights.gbm, +# print(weights.gbm, # i = 1) # # summary(weights.gbm[[1]]) # -# plot(weights.gbm, -# i = 1, +# plot(weights.gbm, +# i = 1, # save.out = save.out) ```