R/gen-OptimalDesignBlock.R

In libsoc: Read, Create and Write 'PharmML' Standard Output (so) XML Files

# libsoc - Library to handle standardised output files
# Copyright (C) 2015 Rikard Nordgren
# 
# This file was autogenerated and should not be edited
# 
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
# 
# his library 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
# Lesser General Public License for more details.
# 
# You should have received a copy of the GNU Lesser General Public
# License along with this library; if not, see <http://www.gnu.org/licenses/>.

so_OptimalDesignBlock_new <- function() {
	obj = .Call("r_so_OptimalDesignBlock_new")
}

so_OptimalDesignBlock_copy <- function(self) {
	.Call("r_so_OptimalDesignBlock_copy", self)
}

so_OptimalDesignBlock_free <- function(self) {
	.Call("r_so_OptimalDesignBlock_free", self)
}

so_OptimalDesignBlock_ref <- function(self) {
	.Call("r_so_OptimalDesignBlock_ref", self)
}

so_OptimalDesignBlock_unref <- function(self) {
	.Call("r_so_OptimalDesignBlock_unref", self)
}

so_OptimalDesignBlock_get_blockNumber <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_blockNumber", self)
}

so_OptimalDesignBlock_set_blockNumber <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_blockNumber", self, value)
}

so_OptimalDesignBlock_get_FIM <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_FIM", self)
}

so_OptimalDesignBlock_set_FIM <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_FIM", self, value)
}

so_OptimalDesignBlock_create_FIM <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_FIM", self)
}

so_OptimalDesignBlock_get_CovarianceMatrix <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_CovarianceMatrix", self)
}

so_OptimalDesignBlock_set_CovarianceMatrix <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_CovarianceMatrix", self, value)
}

so_OptimalDesignBlock_create_CovarianceMatrix <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_CovarianceMatrix", self)
}

so_OptimalDesignBlock_get_ParameterPrecision <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_ParameterPrecision", self)
}

so_OptimalDesignBlock_set_ParameterPrecision <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_ParameterPrecision", self, value)
}

so_OptimalDesignBlock_create_ParameterPrecision <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_ParameterPrecision", self)
}

so_OptimalDesignBlock_get_Criteria <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_Criteria", self)
}

so_OptimalDesignBlock_set_Criteria <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_Criteria", self, value)
}

so_OptimalDesignBlock_create_Criteria <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_Criteria", self)
}

so_OptimalDesignBlock_get_Tests <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_Tests", self)
}

so_OptimalDesignBlock_set_Tests <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_Tests", self, value)
}

so_OptimalDesignBlock_create_Tests <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_Tests", self)
}

so_OptimalDesignBlock_get_SimulatedData <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_SimulatedData", self)
}

so_OptimalDesignBlock_set_SimulatedData <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_SimulatedData", self, value)
}

so_OptimalDesignBlock_create_SimulatedData <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_SimulatedData", self)
}

so_OptimalDesignBlock_get_Design <- function(self) {
	.Call("r_so_OptimalDesignBlock_get_Design", self)
}

so_OptimalDesignBlock_set_Design <- function(self, value) {
	.Call("r_so_OptimalDesignBlock_set_Design", self, value)
}

so_OptimalDesignBlock_create_Design <- function(self) {
	.Call("r_so_OptimalDesignBlock_create_Design", self)
}

blockNumber_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			so_OptimalDesignBlock_get_blockNumber(.self$.cobj)
		} else {
			stopifnot(length(value) == 1)
			value = as.integer(value)
			so_OptimalDesignBlock_set_blockNumber(.self$.cobj, value)
		}
	}
}

FIM_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			so_OptimalDesignBlock_get_FIM(.self$.cobj)
		} else {
			if (!is(value, "matrix")) {
				stop("object must be of type 'matrix'")
			}
			so_OptimalDesignBlock_set_FIM(.self$.cobj, value)
		}
	}
}

CovarianceMatrix_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			so_OptimalDesignBlock_get_CovarianceMatrix(.self$.cobj)
		} else {
			if (!is(value, "matrix")) {
				stop("object must be of type 'matrix'")
			}
			so_OptimalDesignBlock_set_CovarianceMatrix(.self$.cobj, value)
		}
	}
}

ParameterPrecision_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			so_OptimalDesignBlock_get_ParameterPrecision(.self$.cobj)
		} else {
			if (!is(value, "data.frame")) {
				stop("object must be of type 'data.frame'")
			}
			so_OptimalDesignBlock_set_ParameterPrecision(.self$.cobj, value)
		}
	}
}

Criteria_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			so_OptimalDesignBlock_get_Criteria(.self$.cobj)
		} else {
			if (!is(value, "data.frame")) {
				stop("object must be of type 'data.frame'")
			}
			so_OptimalDesignBlock_set_Criteria(.self$.cobj, value)
		}
	}
}

Tests_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			so_OptimalDesignBlock_get_Tests(.self$.cobj)
		} else {
			if (!is(value, "data.frame")) {
				stop("object must be of type 'data.frame'")
			}
			so_OptimalDesignBlock_set_Tests(.self$.cobj, value)
		}
	}
}

SimulatedData_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			child = so_OptimalDesignBlock_get_SimulatedData(.self$.cobj)
			if (!isnull(child)) {
				so_ExternalFile_ref(child)
				so_ExternalFile$new(cobj=child)
			}
		} else {
			if (!is(value, "so_ExternalFile")) {
				stop("object must be of type 'so_ExternalFile'")
			}
			so_OptimalDesignBlock_set_SimulatedData(.self$.cobj, value$.cobj)
			so_ExternalFile_ref(value$.cobj)
		}
	}
}

Design_acc <- function(value)
{
	if (!isnull(.self$.cobj)) {
		if (missing(value)) {
			child = so_OptimalDesignBlock_get_Design(.self$.cobj)
			if (!isnull(child)) {
				so_ExternalFile_ref(child)
				so_ExternalFile$new(cobj=child)
			}
		} else {
			if (!is(value, "so_ExternalFile")) {
				stop("object must be of type 'so_ExternalFile'")
			}
			so_OptimalDesignBlock_set_Design(.self$.cobj, value$.cobj)
			so_ExternalFile_ref(value$.cobj)
		}
	}
}

so_OptimalDesignBlock = setRefClass("so_OptimalDesignBlock",
	fields=list(
		blockNumber = blockNumber_acc,
		FIM = FIM_acc,
		CovarianceMatrix = CovarianceMatrix_acc,
		ParameterPrecision = ParameterPrecision_acc,
		Criteria = Criteria_acc,
		Tests = Tests_acc,
		SimulatedData = SimulatedData_acc,
		Design = Design_acc,
		.cobj = "externalptr"
	),
	methods=list(
		copy = function() {
			copy = so_OptimalDesignBlock_copy(.self$.cobj)
			so_OptimalDesignBlock$new(cobj=copy)
		},
		initialize = function(cobj) {
			if (missing(cobj)) {
				.cobj <<- so_OptimalDesignBlock_new()
			} else {
				.cobj <<- cobj
			}
		},
		finalize = function() {
			so_OptimalDesignBlock_unref(.self$.cobj)
		}
	)
)