R/mu.R:
GITHUB
mrc-ide/epihawkes: Hawkes Processes model for outbreak analysis
# A sample collection of intensity functions due to exogenous factors
#' Finds
# A sample collection of intensity functions due to exogenous factors
#' Finds
setMethodS3("getMumin", "NPVI", function(this, ...) {
this$.mumin
#' Auxiliary function that computes the singular values of the SVD
#' Determine if expression x is "clean"
#' Clean means that it is free from
Mu <- function(x,Mubar,L,D0){
# Purpose: Compute unconstrained mu_mle
mu <- function(x, eta.f, sq.var.f, theta.f)
ev.eta.f <- eta.f(x, theta.f
mu0 <- function(lambda, delta, N=NULL, eps=sqrt(.Machine$double.eps
setMethodS3("getMumin", "NPVI", function(this, ...) {
this$.mumin
#'Calculate effective strip half width
mu<-function(neo.para,z,mdspec
#'Calculate effective strip half width
mu<-function(neo.para,z,mdspec,td
mu <- function(index, SfdList, scoreList){
# compute expected score mu
R: Guatemala
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Immunization in Guatemala
guImmunR Documentation
Immunization in Guatemala
test_that("no mu function returns expected value", {
expect_equal(mu_none
rxTest({
test_that("bounded functions needs numeric bounds", {
lmat
#' @param mu mean of X. This can be the true value or an estimate. It must
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