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tidyrates

Lifecycle: experimental CRAN status R-CMD-check

The goal of tidyrates is to compute adjusted rates and other epidemiological indicators in a tidy way, using internal statistical calculations.

Installation

You can install the release version of tidyrates from CRAN:

install.packages("tidyrates")

Or the development version from GitHub:

# install.packages("remotes")
remotes::install_github("rfsaldanha/tidyrates")

Example

library(tidyrates)

head(fleiss_data)
#>   key age_group       name  value
#> 1  k1  Under 20 population 230061
#> 2  k1  Under 20     events    107
#> 3  k1     20-24 population 329449
#> 4  k1     20-24     events    141
#> 5  k1     25-29 population 114920
#> 6  k1     25-29     events     60

standard_pop <- tibble::tibble(
    age_group = c("Under 20", "20-24", "25-29", "30-34", "35-39", "40 and over"),
    population = c(63986.6, 186263.6, 157302.2, 97647.0, 47572.6, 12262.6)
  )

rate_adj_direct(fleiss_data, .std = standard_pop, .keys = "key")
#> # A tibble: 5 × 5
#>   key    crude.rate adj.rate      lci      uci
#>   <chr>       <dbl>    <dbl>    <dbl>    <dbl>
#> 1 k1       0.000563 0.000923 0.000804 0.00106 
#> 2 k2       0.000676 0.000912 0.000824 0.00101 
#> 3 k3       0.000833 0.000851 0.000772 0.000942
#> 4 k4       0.00115  0.000927 0.000800 0.00115 
#> 5 k5plus   0.00167  0.000755 0.000677 0.00188

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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