FrenchDementia: Computation of Health Indicators for dementia in France

In floguillet/MCSPCD: Monte Carlo Simulation for Projections of epidemiological burden of Chronic Disease

Description

This function computes many health indicators under several scenarios of intervention in risk factor distribution for a given year with all french data.

Usage

FrenchDementia(t, intervention = 0, year_intervention = NULL,
  nb_people = 100, nb_iter = 0, gender = "W", a01_cst = TRUE,
  theta02_cst = FALSE, Ncpus = 1)

Arguments

t	year of the projections for health indicators.
intervention	0 = no change; 1 = reduction by two of risk factor distribution; 2 = risk factor distribution considered as null. Default is 0.
year_intervention	year of the intervention in risk factor distribution takes place. Default is NULL.
nb_people	number of people whose trajectory will be simulated for each generation. Default is 100.
nb_iter	number of iterations for the algorithm. Default is 0.
gender	gender for computation. "W" for women and "M" for men. Default is "W".
a01_cst	TRUE without reduction for a01 during time. FALSE with a reduction for a01 during time. Default is TRUE.
theta02_cst	TRUE without increase for theta02. FALSE with an increase for theta02. Default is FALSE.
Ncpus	The number of processors available. Default is "1".

Value

a list containing the health indicators

Examples

FrenchDementia(t = 2040,
intervention = 1,
year_intervention = 2020,
nb_people = 10000,
nb_iter = 100,
gender = "W",
a01_cst = TRUE,
theta02_cst = FALSE,
Ncpus = 1)

floguillet/MCSPCD documentation built on Dec. 16, 2019, 2:08 a.m.