Utilities: Internal function

In mclements/microsimulation: Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis

Internal function

Description

Is this function needed? We could define the current stream in open code.

Again, is this needed?

Usage

.microsimulationLdFlags()

inlineCxxPlugin(...)

LdFlags()

microsimulation.init(PACKAGE = "microsimulation")

microsimulation.exit(PACKAGE = "microsimulation")

unsigned(seed)

signed(seed)

rnormPos(n, mean = 0, sd = 1, lbound = 0)

set.user.Random.seed(seed, PACKAGE = "microsimulation")

advance.substream(seed, n, PACKAGE = "microsimulation")

next.user.Random.substream(PACKAGE = "microsimulation")

user.Random.seed(PACKAGE = "microsimulation")

enum(obj, labels, start = 0)

enum(obj) <- value

RNGstate()

frontier(x, y, concave = TRUE, convex = NULL)

lines_frontier(x, y, pch = 19, type = "b", ...)

discountedPoint(y, time, dr)

ICER(object1, object2, ...)

.onLoad(lib, pkg)

.onUnload(libpath)

Arguments

...	other arguments
PACKAGE	package for the seed
seed	random number seed
n	number of sub-streams to advance
mean	numeric for the mean of the (untruncated) normal distribution (default=0)
sd	numeric for the sd of the (untruncated) normal distribution (default=1)
lbound	numeric for the lower bound (default=0)
obj	integer or logical for factor levels
labels	labels for the factor levels
start	first value of the levels
value	labels for the factor levels
x	vector of x coordinates
y	the undiscounted value
concave	logical for whether to calculate a concave frontier (default=TRUE)
convex	logical for whether to calculate a convex frontier (default=NULL)
pch	type of pch for the plotted symbols (default=19)
type	join type (default="b")
time	the time of the event
dr	discount rate, expressed as a percentage
object1	first object
object2	second object
lib	library string
pkg	package string
libpath	library path string

Value

No return value, called for side effects

No return value, called for side effects

No return value, called for side effects

unsigned seed

signed seed

numeric vector

invisibly returns the new seed

the advanced seed

invisibly returns TRUE – called for side effect

random seed

the new factor

update the factor

a list with oldseed (the old value of .Random.seed), and reset(), which resets .Random.seed

a list with components x and y for the frontier

No return value, called for side effects

numeric vector

mclements/microsimulation documentation built on Oct. 3, 2023, 12:23 a.m.