diff --git a/DESCRIPTION b/DESCRIPTION
index 95fe20b..2ec128d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: dsSurvival
 Title: dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
 Description: DataSHIELD server side base functions for building survival models.
-Version: 2.1.0
+Version: 2.0.0
 Author: Soumya Banerjee, Demetris Avraam, Xavier Escriba Montagut, Juan Gonzalez, Paul Burton and Tom R P Bishop <sb2333@cam.ac.uk>
 Maintainer: Soumya Banerjee, Demetris Avraam, Xavier Escriba Montagut, Juan Gonzalez, Paul Burton and Tom R P Bishop <sb2333@cam.ac.uk>
 License: GPL-3
diff --git a/LICENSE.md b/LICENSE.md
new file mode 100644
index 0000000..f288702
--- /dev/null
+++ b/LICENSE.md
@@ -0,0 +1,674 @@
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+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.
diff --git a/NAMESPACE b/NAMESPACE
index 2055591..2cbd958 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -9,4 +9,3 @@ export(listDisclosureSettingsDS)
 export(plotsurvfitDS)
 export(summarySurvDS)
 export(survfitDS)
-export(vcovDS.coxph)
diff --git a/R/vcovDS.coxph.R b/R/vcovDS.coxph.R
deleted file mode 100644
index 2ee639b..0000000
--- a/R/vcovDS.coxph.R
+++ /dev/null
@@ -1,36 +0,0 @@
-#' 
-#' @title Returns variance-covariance matrix of Cox Proportional Hazard model.
-#' @description returns a variance-covariance matrix of Cox Proportional Hazard model from the server side environment.
-#' @details Serverside aggregate function {vcovDS.coxph} called by clientside function 
-#' {ds.vcov.coxph}.
-#' returns a list which contains a variance-covariance matrix for a Cox model.
-#' This request is not disclosive, because the disclosure checks should be performed in the main function for building
-#' the Cox model (e.g. checking for over saturation).
-#' For further details see help for the native {vcov} function.
-#' @param object name of server-side coxph object.
-#' @return a variance-covariance matrix.
-#' @author Soumya Banerjee and Tom Bishop (2022).
-#' @export
-vcovDS.coxph<-function(object=NULL)
-{
-
-  if (is.null(object))
-  {
-    stop("Please provide the name of a survival::coxph object", call.=FALSE)
-  }
-
-  surv_obj<-eval(parse(text=object), envir = parent.frame())
-  
-  if (class(surv_obj)!="coxph")
-  {
-    stop("Object is not of class survival::coxph, please check the name", call.=FALSE)
-  }
-
-  vcov_res <- stats::vcov(surv_obj)
-  
-  return(vcov_res)
-  
-  
-}
-#AGGREGATE FUNCTION
-# vcovDS.coxph
diff --git a/build_man_test.R b/build_man_test.R
new file mode 100644
index 0000000..9be6989
--- /dev/null
+++ b/build_man_test.R
@@ -0,0 +1,45 @@
+###########################################
+# Script to build manuals and test code
+#
+# Usage:
+#   R --no-save < build_man_test.R
+#
+###########################################
+
+###################
+# load libraries
+###################
+library(devtools)
+library(testthat)
+library(dsBase)
+library(dsBaseClient)
+require('DSI')
+require('DSOpal')
+library(dsSurvival)
+library(dsSurvivalClient)
+
+##################
+# build manuals
+##################
+devtools::build_manual()
+
+########################
+# update documentation
+########################
+devtools::check_man()
+
+##################
+# build vignettes
+##################
+devtools::build_vignettes()
+
+##################
+# Testing
+##################
+devtools::test()
+
+##################
+# clean up
+##################
+gc()
+
diff --git a/inst/DATASHIELD b/inst/DATASHIELD
index 4c05bff..0385e36 100644
--- a/inst/DATASHIELD
+++ b/inst/DATASHIELD
@@ -3,9 +3,18 @@ AggregateMethods:
     coxphSummaryDS,
     cox.zphSLMADS,
     summarySurvDS,
-    plotsurvfitDS,
-    vcovDS.coxph
+    plotsurvfitDS
 AssignMethods:
     coxphSLMAassignDS,
     SurvDS,
     survfitDS
+Options:
+    datashield.privacyLevel=5,
+    default.nfilter.glm=0.33,
+    default.nfilter.kNN=3,
+    default.nfilter.string=80,
+    default.nfilter.subset=3,
+    default.nfilter.stringShort=20,
+    default.nfilter.tab=3,
+    default.nfilter.noise=0.25,
+    default.nfilter.levels=0.33
diff --git a/man/vcovDS.coxph.Rd b/man/vcovDS.coxph.Rd
deleted file mode 100644
index 72d6a3a..0000000
--- a/man/vcovDS.coxph.Rd
+++ /dev/null
@@ -1,28 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/vcovDS.coxph.R
-\name{vcovDS.coxph}
-\alias{vcovDS.coxph}
-\title{Returns variance-covariance matrix of Cox Proportional Hazard model.}
-\usage{
-vcovDS.coxph(object = NULL)
-}
-\arguments{
-\item{object}{name of server-side coxph object.}
-}
-\value{
-a variance-covariance matrix.
-}
-\description{
-returns a variance-covariance matrix of Cox Proportional Hazard model from the server side environment.
-}
-\details{
-Serverside aggregate function {vcovDS.coxph} called by clientside function 
-{ds.vcov.coxph}.
-returns a list which contains a variance-covariance matrix for a Cox model.
-This request is not disclosive, because the disclosure checks should be performed in the main function for building
-the Cox model (e.g. checking for over saturation).
-For further details see help for the native {vcov} function.
-}
-\author{
-Soumya Banerjee and Tom Bishop (2022).
-}
diff --git a/screenshot_survival_models.png b/screenshot_survival_models.png
new file mode 100644
index 0000000..1173542
Binary files /dev/null and b/screenshot_survival_models.png differ
diff --git a/vignettes/development_plan.pdf b/vignettes/development_plan.pdf
new file mode 100644
index 0000000..6583e24
Binary files /dev/null and b/vignettes/development_plan.pdf differ
diff --git a/vignettes/development_plan.rmd b/vignettes/development_plan.rmd
new file mode 100644
index 0000000..8f7d571
--- /dev/null
+++ b/vignettes/development_plan.rmd
@@ -0,0 +1,524 @@
+---
+title: "Meta-analysis of survival models in the DataSHIELD platform"
+author: "Soumya Banerjee, Tom Bishop and DataSHIELD technical team "
+date: "15 June 2021"
+output:
+  pdf_document:
+    toc: yes
+    number_sections: yes
+    fig_caption: yes
+  html_document:
+    toc: yes
+    df_print: paged
+urlcolor: blue
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo=TRUE)
+```
+
+# Summary
+
+This is a document that outlines a vignette for implementing survival models
+and meta-analyzing hazard ratios in the DataSHIELD platform.
+
+# Survival analysis in DataSHIELD
+
+We outline code for implementing survival models and meta-analysis
+of hazard ratios in DataSHIELD.
+
+All code is available here:
+
+   * https://github.com/neelsoumya/dsSurvival
+
+   * https://github.com/neelsoumya/dsSurvivalClient 
+
+   * https://github.com/neelsoumya/dsBase
+
+   * https://github.com/neelsoumya/dsBaseClient
+    
+   
+# Installation   
+
+Install R Studio and the development environment as described below:
+
+   * https://data2knowledge.atlassian.net/wiki/spaces/DSDEV/pages/12943461/Getting+started
+
+
+Then install the virtual machines as described below:
+
+   * https://data2knowledge.atlassian.net/wiki/spaces/DSDEV/pages/931069953/Installation+Training+Hub-+DataSHIELD+v6
+
+
+Install the necessary packages by running the following commands in R Studio:
+
+
+```
+
+install.packages('devtools')
+
+library(devtools)
+
+devtools::install_github('neelsoumya/dsBaseClient')
+	
+devtools::install_github('neelsoumya/dsBase')
+
+devtools::install_github('neelsoumya/dsSurvivalClient')
+
+```
+
+Install dsBase (neelsoumya/dsBase main branch) and dsSurvival (neelsoumya/dsSurvival main branch) on the Opal virtual machine.
+
+
+
+# Computational workflow
+
+The computational steps are outlined below. 
+The first step is connecting to the server and loading the survival data.
+We assume that the reader is familiar with these details.
+
+```
+
+library(knitr)
+library(rmarkdown)
+library(tinytex)
+library(survival)
+library(metafor)
+library(ggplot2)
+library(survminer)
+library(dsSurvivalClient)
+require('DSI')
+require('DSOpal')
+require('dsBaseClient')
+
+builder <- DSI::newDSLoginBuilder()
+
+builder$append(server = "study1", 
+               url = "http://192.168.56.100:8080/", 
+               user = "administrator", password = "datashield_test&", 
+               table = "SURVIVAL.EXPAND_NO_MISSING1", driver = "OpalDriver")
+builder$append(server = "study2", 
+               url = "http://192.168.56.100:8080/", 
+               user = "administrator", password = "datashield_test&", 
+               table = "SURVIVAL.EXPAND_NO_MISSING2", driver = "OpalDriver")
+builder$append(server = "study3", 
+               url = "http://192.168.56.100:8080/", 
+               user = "administrator", password = "datashield_test&", 
+               table = "SURVIVAL.EXPAND_NO_MISSING3", driver = "OpalDriver")
+
+logindata <- builder$build()
+
+connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D") 
+
+
+
+```
+
+
+```{r, include = FALSE}
+
+####################
+# Load library
+####################
+library(knitr)
+library(rmarkdown)
+library(tinytex)
+library(survival)
+library(metafor)
+library(ggplot2)
+library(survminer)
+#library(dsSurvival)
+library(dsSurvivalClient)
+require('DSI')
+require('DSOpal')
+require('dsBaseClient')
+
+#######################
+# Get data
+#######################
+builder <- DSI::newDSLoginBuilder()
+
+builder$append(server = "study1", 
+               url = "http://192.168.56.100:8080/", 
+               user = "administrator", password = "datashield_test&", 
+               table = "SURVIVAL.EXPAND_NO_MISSING1", driver = "OpalDriver")
+builder$append(server = "study2", 
+               url = "http://192.168.56.100:8080/", 
+               user = "administrator", password = "datashield_test&", 
+               table = "SURVIVAL.EXPAND_NO_MISSING2", driver = "OpalDriver")
+builder$append(server = "study3", 
+               url = "http://192.168.56.100:8080/", 
+               user = "administrator", password = "datashield_test&", 
+               table = "SURVIVAL.EXPAND_NO_MISSING3", driver = "OpalDriver")
+
+logindata <- builder$build()
+
+##############
+# login
+##############
+
+# Log onto the remote Opal training servers
+connections <- DSI::datashield.login(logins = logindata, assign = TRUE, symbol = "D") 
+
+```
+
+# Creating server-side variables for survival analysis
+
+We now outline some steps for analysing survival data.
+
+* make sure that the outcome variable is numeric 
+
+```
+ds.asNumeric(x.name = "D$cens",
+             newobj = "EVENT",
+             datasources = connections)
+
+ds.asNumeric(x.name = "D$survtime",
+             newobj = "SURVTIME",
+             datasources = connections)
+```
+
+*  convert time id variable to a factor 
+
+```
+
+ds.asFactor(input.var.name = "D$time.id",
+            newobj = "TID",
+            datasources = connections)
+
+```
+
+*  create in the server-side the log(survtime) variable
+
+```
+
+ds.log(x = "D$survtime",
+       newobj = "log.surv",
+       datasources = connections)
+
+```
+
+*  create start time variable
+
+```
+
+ds.asNumeric(x.name = "D$starttime",
+             newobj = "STARTTIME",
+             datasources = connections)
+
+ds.asNumeric(x.name = "D$endtime",
+             newobj = "ENDTIME",
+             datasources = connections)
+
+```
+
+
+
+```{r, include=FALSE}
+
+# make sure that the outcome is numeric 
+ds.asNumeric(x.name = "D$cens",
+             newobj = "EVENT",
+             datasources = connections)
+
+ds.asNumeric(x.name = "D$survtime",
+             newobj = "SURVTIME",
+             datasources = connections)
+
+# convert time id variable to a factor 
+ds.asFactor(input.var.name = "D$time.id",
+            newobj = "TID",
+            datasources = connections)
+
+# create in the server-side the log(survtime) variable
+ds.log(x = "D$survtime",
+       newobj = "log.surv",
+       datasources = connections)
+
+# create start time variable
+ds.asNumeric(x.name = "D$starttime",
+             newobj = "STARTTIME",
+             datasources = connections)
+
+# create end time variable
+ds.asNumeric(x.name = "D$endtime",
+             newobj = "ENDTIME",
+             datasources = connections)
+
+
+# check which variables exist
+dsBaseClient::ds.ls()
+
+# call new function modify NAMESPACE and DESCRIPTION
+# call coxph server side
+# client side function is here:
+# https://github.com/neelsoumya/dsBaseClient/blob/absolute_newbie_client/R/ds.coxph.SLMA.R
+# server side function is here:
+# https://github.com/neelsoumya/dsBase/blob/absolute_newbie/R/coxphSLMADS.R
+```
+
+
+# Create survival object and call ds.coxph.SLMA()
+
+
+* use constructed Surv object in *ds.coxph.SLMA()*
+
+```
+dsSurvivalClient::ds.Surv(time='STARTTIME', time2='ENDTIME', 
+                      event = 'EVENT', objectname='surv_object',
+                      type='counting')
+
+coxph_model_full <- dsSurvivalClient::ds.coxph.SLMA(formula = 'surv_object~D$age+D$female')
+
+```
+
+* use direct inline call to *survival::Surv()*
+
+```
+
+dsSurvivalClient::ds.coxph.SLMA(formula = 'survival::Surv(time=SURVTIME,event=EVENT)~D$age+D$female', 
+                                dataName = 'D', 
+                                datasources = connections)
+
+```
+
+* call with *survival::strata()*
+
+```
+
+coxph_model_strata <- dsSurvivalClient::ds.coxph.SLMA(formula = 'surv_object~D$age + 
+                          survival::strata(D$female)')
+
+summary(coxph_model_strata)
+
+```
+
+
+```{r, include=FALSE}
+
+# 1. use constructed surv object in coxph
+dsSurvivalClient::ds.Surv(time='STARTTIME', time2='ENDTIME', event = 'EVENT', objectname='surv_object', type='counting')
+coxph_model_full <- dsSurvivalClient::ds.coxph.SLMA(formula = 'surv_object~D$age+D$female')
+
+# 2. use direct inline call
+dsSurvivalClient::ds.coxph.SLMA(formula = 'survival::Surv(time=SURVTIME,event=EVENT)~D$age+D$female', dataName = 'D', datasources = connections)
+
+# 3. Call with strata()
+coxph_model_strata <- dsSurvivalClient::ds.coxph.SLMA(formula = 'surv_object~D$age+survival::strata(D$female)')
+summary(coxph_model_strata)
+
+```
+
+# Summary of survival objects
+
+We can also summarize a server-side object of type *survival::Surv()*
+using a call to *ds.coxphSummary()*. This will provide a non-disclosive
+summary of the server-side object. An example call is shown below:
+
+
+```
+
+dsSurvivalClient::ds.coxphSummary(x = 'coxph_serverside')
+
+```
+
+
+
+```{r, include=FALSE}
+
+#################################
+# summary of coxphSLMA
+#################################
+# TODO:
+# dsBaseClient::ds.summary(x = 'surv_object')
+# dsBaseClient::ds.class(x = 'surv_object')
+# dsBaseClient::ds.mean(x='surv_object')
+
+
+#################################
+# TODO: Plot survival curves
+#################################
+# fit <- survival::survfit(formula = 'surv_object~D$age+D$female', data = 'D')
+# need ds.survfit() and survfitDS()
+# fit_model <- ds.survfit(coxph_model[1])
+# plot(fit_model)
+
+# TODO:
+# plot(survfit_km, fun="cloglog")
+
+# TODO: 
+# ggplot like functionality see other functions
+
+# In dsBaseClient::
+# ds.survfit()
+#         datashield.aggregate("survfitDS", ....)
+#          return (the fit model)
+
+# In dsBase::
+# survfitDS(coxph_model)  
+#               fit_model <- survival::survfit(coxph_model, newdata = 'D')
+#               return (fit_model)
+
+# TODO: dsSurvivalClient::ds.survfit(formula='surv_object~1', objectname='survfit_object')
+# verify that object has been created
+dsBaseClient::ds.ls()
+
+# ERROR summary of survfit not allowed
+# dsBaseClient::ds.summary(x='survfit_object')
+# dsBaseClient::ds.mean(x='survfit_object')
+
+```
+
+
+# Diagnostics for Cox proportional hazards models
+
+We have also created functions to test for the assumptions of 
+Cox proportional hazards models.
+
+```
+dsSurvivalClient::ds.coxphSLMAassign(formula = 'surv_object~D$age+D$female',
+                            objectname = 'coxph_serverside')
+
+dsSurvivalClient::ds.cox.zphSLMA(fit = 'coxph_serverside')
+
+dsSurvivalClient::ds.coxphSummary(x = 'coxph_serverside')
+
+```
+
+A diagnostic summary is shown below. 
+
+```{r, echo=FALSE}
+
+dsSurvivalClient::ds.coxphSLMAassign(formula = 'surv_object~D$age+D$female', objectname = 'coxph_serverside')
+
+dsSurvivalClient::ds.cox.zphSLMA(fit = 'coxph_serverside')
+
+dsSurvivalClient::ds.coxphSummary(x = 'coxph_serverside')
+
+```
+
+
+
+# Meta-analyze hazard ratios
+
+We now outline how the hazard ratios from the survival models are meta-analyzed. 
+We use the *metafor* package for meta-analysis. We show the summary of an 
+example meta-analysis and a forest plot below. The forest plot shows a basic
+example of meta-analyzed hazard ratios from a survival model (analyzed in
+dsSurvivalClient).
+
+The log-hazard ratios and their standard errors from each study can be
+found after running *ds.coxphSLMA()*
+
+The hazard ratios can then be meta-analyzed:
+
+```
+
+input_logHR = c(coxph_model_full$study1$coefficients[1,2], 
+		coxph_model_full$study2$coefficients[1,2], 
+		coxph_model_full$study3$coefficients[1,2])
+
+input_se    = c(coxph_model_full$study1$coefficients[1,3], 
+		coxph_model_full$study2$coefficients[1,3], 
+		coxph_model_full$study3$coefficients[1,3])
+
+metafor::rma(log_hazard_ratio, sei = se_hazard_ratio, method = 'REML')
+
+```
+
+A summary of this meta-analyzed model is shown below.
+
+
+```{r, echo=FALSE}
+
+# TODO: for each study
+for (i_temp_counter in c(1:length(coxph_model_full)))
+{
+      
+}
+
+# list of hazard ratios for first parameter (age) over 3 studies 
+input_logHR = c(coxph_model_full$study1$coefficients[1,2], coxph_model_full$study2$coefficients[1,2], coxph_model_full$study3$coefficients[1,2])
+input_se    = c(coxph_model_full$study1$coefficients[1,3], coxph_model_full$study2$coefficients[1,3], coxph_model_full$study3$coefficients[1,3])
+
+meta_model <- metafor::rma(input_logHR, sei = input_se, method = 'REML')
+summary(meta_model)
+
+#######################################################
+# forest plots of final meta-analyzed hazard ratios
+#######################################################
+```
+
+We now show a forest plot with the meta-analyzed hazard ratios. The hazard ratios come
+from the dsSurvivalClient function *ds.coxphSLMA()*. The hazard ratios are meta-analyzed
+using the *metafor* package.
+
+```{r fig.cap="Example forest plot of meta-analyzed hazard ratios.", echo=FALSE}
+
+metafor::forest.rma(x = meta_model)
+
+```    
+
+# Plotting of privacy-preserving survival curves
+
+We also plot privacy preserving survival curves. Please note that is work in progress and is only available on a separate development branch. There will be a full release in v1.1.0.
+
+```
+dsSurvivalClient::ds.survfit(formula='surv_object~1', objectname='survfit_object')
+
+dsSurvivalClient::ds.plotsurvfit(formula = 'survfit_object')
+
+```
+
+
+```{r, echo = FALSE}
+
+
+dsSurvivalClient::ds.survfit(formula='surv_object~1', objectname='survfit_object')
+
+
+```
+
+```{r fig.cap="Privacy preserving survival curves.", echo = FALSE}
+
+dsSurvivalClient::ds.plotsurvfit(formula = 'survfit_object')
+
+# dsSurvivalClient::ds.plotsurvfit(formula = 'survfit_object', method_anonymization = 1, knn = 20)
+
+```
+
+\newpage
+   
+```{r, include=FALSE}
+
+#############################################
+# disconnect
+#############################################
+DSI::datashield.logout(conns = connections)
+
+```
+
+
+# Acknowledgements
+
+We acknowledge the help and support of the DataSHIELD technical team.
+We are especially grateful to Yannick Marcon, Paul Burton, Demetris Avraam, Stuart Wheater, Patricia Ryser-Welch, Xavier Escriba, Juan Gonzalez and Wolfgang Vichtbauer for fruitful discussions and feedback.
+
+
+# References
+
+  * https://github.com/datashield
+  
+  * http://www.metafor-project.org
+  
+  * https://github.com/neelsoumya/dsBase
+
+  * https://github.com/neelsoumya/dsBaseClient
+
+  * https://github.com/neelsoumya/dsSurvival
+
+  * https://github.com/neelsoumya/dsSurvivalClient
+  
+  * https://github.com/neelsoumya/datashield_testing_basic
+  
+