R/mu.R:

GITHUB
mrc-ide/epihawkes: Hawkes Processes model for outbreak analysis

# A sample collection of intensity functions due to exogenous factors
#' Finds

R/mu.R:

CRAN
tmle.npvi: Targeted Learning of a NP Importance of a Continuous Exposure

setMethodS3("getMumin", "NPVI", function(this, ...) {
this$.mumin

R/MU.R:

CRAN
RandomCoefficients: Adaptive Estimation in the Linear Random Coefficients Models

#' Auxiliary function that computes the singular values of the SVD

R/mu.R:

CRAN
rxode2: Facilities for Simulating from ODE-Based Models

#' Determine if expression x is "clean"
#' Clean means that it is free from

R/Mu.R:

CRAN
fad: Factor Analysis for Data

Mu <- function(x,Mubar,L,D0){
# Purpose: Compute unconstrained mu_mle

R/mu.R:

CRAN
rodd: Optimal Discriminating Designs

mu <- function(x, eta.f, sq.var.f, theta.f)
ev.eta.f <- eta.f(x, theta.f

R/mu.R:

CRAN
touchard: Touchard Model and Regression

mu0 <- function(lambda, delta, N=NULL, eps=sqrt(.Machine$double.eps

R/mu.R:

GITHUB
achambaz/tmle.npvi: Targeted Learning of a NP Importance of a Continuous Exposure

setMethodS3("getMumin", "NPVI", function(this, ...) {
this$.mumin

R/mu.R:

GITHUB
y-yasutomo/maliaver0:

#'Calculate effective strip half width
mu<-function(neo.para,z,mdspec

R/mu.R:

GITHUB
y-yasutomo/malia:

#'Calculate effective strip half width
mu<-function(neo.para,z,mdspec,td

R/mu.R:

CRAN
TestGardener: Information Analysis for Test and Rating Scale Data

mu <- function(index, SfdList, scoreList){
# compute expected score mu

GTM: Guatemala

GITHUB
covid19datahub/COVID19dev: COVID-19 Data Hub

R: Guatemala
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

guImmun: Immunization in Guatemala

RFORGE
mlmRev: Examples from Multilevel Modelling Software Review

R: Immunization in Guatemala
guImmunR Documentation
Immunization in Guatemala

tests/testthat/test-mu.R:

GITHUB
mrc-ide/epihawkes: Hawkes Processes model for outbreak analysis

test_that("no mu function returns expected value", {
expect_equal(mu_none

tests/testthat/test-mu.R:

CRAN
rxode2: Facilities for Simulating from ODE-Based Models

rxTest({
test_that("bounded functions needs numeric bounds", {
lmat

man-roxygen/param-mu.R:

GITHUB
AlexisDerumigny/ElliptCopulas: Inference of Elliptical Distributions and Copulas

#' @param mu mean of X. This can be the true value or an estimate. It must