R Under development (unstable) (2024-09-23 r87189 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(cfr)
> 
> test_check("cfr")
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
Some daily ratios of total deaths to total cases with known outcome are below 0.01%: some CFR estimates may be unreliable.FALSE
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
Some daily ratios of total deaths to total cases with known outcome are below 0.01%: some CFR estimates may be unreliable.FALSE
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
Some daily ratios of total deaths to total cases with known outcome are below 0.01%: some CFR estimates may be unreliable.FALSE
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
Some daily ratios of total deaths to total cases with known outcome are below 0.01%: some CFR estimates may be unreliable.FALSE
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
Total deaths = 99 and expected outcomes = 0 so setting expected outcomes = NA. If we were to assume
        total deaths = expected outcomes, it would produce an estimate of 1.
Total cases = 505000 and p = 1.4e-05: using Poisson approximation to binomial likelihood.
`cfr_rolling()` is a convenience function to help understand how additional data influences the overall (static) severity. Use `cfr_time_varying()` instead to estimate severity changes over the course of the outbreak.
[ FAIL 0 | WARN 2 | SKIP 11 | PASS 112 ]

══ Skipped tests (11) ══════════════════════════════════════════════════════════
• On CRAN (11): 'test-estimate_ascertainment.R:34:3',
  'test-estimate_ascertainment.R:65:3', 'test-estimate_ascertainment.R:81:3',
  'test-estimate_outcomes.R:46:3', 'test-estimate_rolling.R:52:3',
  'test-estimate_severity.R:47:3', 'test-estimate_static.R:37:3',
  'test-estimate_time_varying.R:41:3', 'test-estimate_time_varying.R:105:3',
  'test-prepare_data.R:35:3', 'test-prepare_data.R:126:3'

[ FAIL 0 | WARN 2 | SKIP 11 | PASS 112 ]
> 
> proc.time()
   user  system elapsed 
   7.98    0.76    8.73