R/PatientLevelPrediction.R

In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model

# @file PatientLevelPrediction.R
#
# Copyright 2020 Observational Health Data Sciences and Informatics
#
# This file is part of PatientLevelPrediction
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

#' PatientLevelPrediction
#'
#' @docType package
#' @name PatientLevelPrediction
#' @importFrom Rcpp evalCpp
#' @importFrom SqlRender loadRenderTranslateSql translateSql
#' @importFrom plyr ddply
#' @importFrom methods is
#' @importFrom stats binom.test lm printCoefmat rpois runif sd aggregate binomial glm predict sigma var
#' @importFrom utils write.csv write.table data ? read.csv
#' @importFrom grDevices dev.control dev.off pdf recordPlot rgb
#' @importFrom magrittr %>%
#' @importFrom foreach %dopar% %do%
#' @importFrom graphics lines par
#' @import Cyclops
#' @import DatabaseConnector
#' @import FeatureExtraction
#' @import plotly
#' @useDynLib PatientLevelPrediction
NULL

#' A simulation profile
#' @docType data
#' @keywords datasets
#' @name plpDataSimulationProfile
#' @format A data frame containing the following elements:
#' \describe{
#'   \item{covariatePrevalence}{prevalence of all covariates}
#'   \item{outcomeModels}{regression model parameters to simulate outcomes}
#'   \item{metaData}{settings used to simulate the profile}
#'   \item{covariateRef}{covariateIds and covariateNames}
#'   \item{timePrevalence}{time window}
#'   \item{exclusionPrevalence}{prevalence of exclusion of covariates}
#' }
#' @usage
#' data(plpDataSimulationProfile)
NULL


.onLoad <- function(libname, pkgname) {

}