directadjusting-package: directadjusting: Directly Adjusted Estimates

In WetRobot/directadjusting: Directly Adjusted Estimates

directadjusting: Directly Adjusted Estimates

Description

Compute estimates and confidence intervals of weighted averages quickly and easily.

[](https://github.com/FinnishCancerRegistry/directadjusting/actions/workflows/R-CMD-check.yaml)

# Recommended installation

“'r devtools::install_github( "FinnishCancerRegistry/directadjusting", ref = readline("enter latest tag on github: ") ) “'

# Example “'r library("directadjusting")

# suppose we have poisson rates that we want to adjust for by age group. # they are stratified by sex. library("data.table") set.seed(1337)

offsets <- rnorm(8, mean = 1000, sd = 100) baseline <- 100 sex_hrs <- rep(1:2, each = 4) age_group_hrs <- rep(c(0.75, 0.90, 1.10, 1.25), times = 2) counts <- rpois(8, baseline * sex_hrs * age_group_hrs)

# raw estimates my_stats <- data.table( sex = rep(1:2, each = 4), ag = rep(1:4, times = 2), e = counts / offsets ) my_stats[["v"]] <- my_stats[["e"]] / offsets

# adjusted by age group my_adj_stats <- direct_adjusted_estimates( stats_dt = my_stats, stat_col_nms = "e", var_col_nms = "v", conf_lvls = 0.95, conf_methods = "log", stratum_col_nms = "sex", adjust_col_nms = "ag", weights = c(200, 300, 400, 100) )

“'

News

## News for version 0.4.0

### directadjusting::direct_adjusted_estimates

'directadjusting::direct_adjusted_estimates' now correctly uses the same 'conf_lvls' and 'conf_methods' for all statistics when their length is one.

## News for version 0.3.0

### directadjusting

Remove deprecated 'directadjusting::direct_adjusted_estimates'. Use 'directadjusting::directly_adjusted_estimates'.

WetRobot/directadjusting documentation built on Dec. 14, 2024, 1:04 a.m.