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Summary method for the smoothing models.

Source: R/summary.R
summary.SUMMERmodel.Rd

This function is the summary method for class SUMMERmodel.

Usage

# S3 method for class 'SUMMERmodel'
summary(object, ...)

Arguments

object

output from smoothDirect or smoothCluster

...

not used

See also

summary.SUMMERmodel

Author

Zehang Li

Examples

if (FALSE) { # \dontrun{
  library(SUMMER)
  library(dplyr)
  data(DemoData)

  # Smooth Direct Model
  years <- levels(DemoData[[1]]$time)
  # obtain direct estimates
  data_multi <- getDirectList(births = DemoData, years = years,
  regionVar = "region",  timeVar = "time", clusterVar = "~clustid+id",
  ageVar = "age", weightsVar = "weights", geo.recode = NULL)
  data <- aggregateSurvey(data_multi)
  
  years.all <- c(years, "15-19")
  fit <- smoothDirect(data = data, Amat = NULL, 
  year_label = years.all, year_range = c(1985, 2019), 
  time.model = 'rw2', is.yearly=FALSE, m = 5)
  summary(fit)

  # Cluster-level Model
  counts.all <- NULL
  for(i in 1:length(DemoData)){
  counts <- getCounts(DemoData[[i]][, c("clustid", "time", "age", "died",
                                       "region", "strata")],
           variables = 'died', by = c("age", "clustid", "region", 
                                        "time", "strata"))
  counts <- counts %>% mutate(cluster = clustid, years = time, Y=died)
  counts$strata <- gsub(".*\\.","",counts$strata)
  counts$survey <- names(DemoData)[i] 
  counts.all <- rbind(counts.all, counts)
  }
  
  # fit cluster-level model on the periods
  periods <- levels(DemoData[[1]]$time)
  fit <- smoothCluster(data = counts.all, 
     Amat = DemoMap$Amat, 
     time.model = "rw2", 
     st.time.model = "rw1",
     strata.time.effect =  TRUE, 
     survey.effect = TRUE,
     family = "betabinomial",
     year_label = c(periods, "15-19"))
  summary(fit) 
} # }