surveyPrev (version 1.0.0)

fhModel: Calculate smoothed direct estimates

Description

This function calculate smoothed direct estimates at given admin level.

Usage

fhModel(
  data,
  cluster.info,
  admin.info = NULL,
  admin,
  CI = 0.95,
  model = c("bym2", "iid"),
  aggregation = FALSE
)

Value

This function returns the dataset that contain district name and population for given tiff files and polygons of admin level,

Arguments

data

dataframe that contains the indicator of interests, output of getDHSindicator function

cluster.info

list contains data and wrong.points. data contains admin 1 and admin 2 information and coordinates for each cluster. wrong.points. contains cluster id for cluster without coordinates or admin 1 information. Output of getDHSindicator function

admin.info

list contains data and mat, data contains population and urban/rural proportion at specific admin level and mat is the adjacency matrix, output of adminInfo function

admin

admin level for the model

CI

Credible interval to be used. Default to 0.95.

model

smoothing model used in the random effect. Options are independent ("iid") or spatial ("bym2").

aggregation

whether or not report aggregation results.

Author

Qianyu Dong

Examples

if (FALSE) {
geo <- getDHSgeo(country = "Zambia", year = 2018)
data(ZambiaAdm1)
data(ZambiaAdm2)
data(ZambiaPopWomen)
cluster.info <- clusterInfo(geo = geo,
                            poly.adm1 = ZambiaAdm1,
                            poly.adm2 = ZambiaAdm2)

dhsData <- getDHSdata(country = "Zambia",
                                 indicator = "ancvisit4+",
                                 year = 2018)

data <- getDHSindicator(dhsData, indicator = "ancvisit4+")
admin.info1 <- adminInfo(poly.adm = ZambiaAdm1,
                        admin = 1,
                        agg.pop =ZambiaPopWomen$admin1_pop,
                        proportion = ZambiaPopWomen$admin1_urban)
smth_res_ad1 <- fhModel(data,
                       cluster.info = cluster.info,
                       admin.info = admin.info1,
                       admin = 1,
                       model = "bym2",
                       aggregation = F)
smth_res_ad1
}