From cd2e738ea283cd7921303d54a22cf5b3f597fc38 Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Wed, 8 Feb 2023 17:11:16 +0000 Subject: [PATCH 1/3] allow edge case of negative binomial with 0 mean --- inst/stan/functions/observation_model.stan | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/inst/stan/functions/observation_model.stan b/inst/stan/functions/observation_model.stan index 8c6fb594d..3c6f450f5 100644 --- a/inst/stan/functions/observation_model.stan +++ b/inst/stan/functions/observation_model.stan @@ -110,11 +110,15 @@ int[] report_rng(vector reports, real[] rep_phi, int model_type) { } for (s in 1:t) { - // defer to poisson if phi is large, to avoid overflow - if (sqrt_phi > 1e4) { - sampled_reports[s] = poisson_rng(reports[s] > 1e8 ? 1e8 : reports[s]); + if (reports[s] < 1e-8) { + sampled_reports[s] = 0; } else { - sampled_reports[s] = neg_binomial_2_rng(reports[s] > 1e8 ? 1e8 : reports[s], sqrt_phi); + // defer to poisson if phi is large, to avoid overflow + if (sqrt_phi > 1e4) { + sampled_reports[s] = poisson_rng(reports[s] > 1e8 ? 1e8 : reports[s]); + } else { + sampled_reports[s] = neg_binomial_2_rng(reports[s] > 1e8 ? 1e8 : reports[s], sqrt_phi); + } } } return(sampled_reports); From 5cf3c59dd72bfbb95079f571da814480f7bbde2a Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Fri, 28 Apr 2023 12:26:37 +0100 Subject: [PATCH 2/3] add news item --- NEWS.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/NEWS.md b/NEWS.md index 63b6e8909..109d63530 100644 --- a/NEWS.md +++ b/NEWS.md @@ -8,6 +8,8 @@ This release is in development. For a stable release install 1.3.5 from CRAN. * Moved to a GitHub Action to only lint changed files. * Linted the package with a wider range of default linters. * Added a GitHub Action to build the README when it is altered. +* Added handling of edge case where we sample from the negative binomial with + mean close or equal to 0. By @sbfnk in #366. # EpiNow2 1.3.5 From f394c3ee38c593a99e91f283f22230259121e55d Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Fri, 28 Apr 2023 11:44:28 +0000 Subject: [PATCH 3/3] Automatic readme update --- README.md | 163 +++++++++++++---------------- man/figures/unnamed-chunk-14-1.png | Bin 448498 -> 444400 bytes man/figures/unnamed-chunk-18-1.png | Bin 136367 -> 136659 bytes 3 files changed, 73 insertions(+), 90 deletions(-) diff --git a/README.md b/README.md index e3755e182..0983e3615 100644 --- a/README.md +++ b/README.md @@ -43,18 +43,18 @@ The default model uses a non-stationary Gaussian process to estimate the time-varying reproduction number and then infer infections. Other options include: - - A stationary Gaussian process (faster to estimate but currently - gives reduced performance for real time estimates). - - User specified breakpoints. - - A fixed reproduction number. - - As piecewise constant by combining a fixed reproduction number with - breakpoints. - - As a random walk (by combining a fixed reproduction number with - regularly spaced breakpoints (i.e weekly)). - - Inferring infections using deconvolution/back-calculation and then - calculating the time-varying reproduction number. - - Adjustment for the remaining susceptible population beyond the - forecast horizon. +- A stationary Gaussian process (faster to estimate but currently gives + reduced performance for real time estimates). +- User specified breakpoints. +- A fixed reproduction number. +- As piecewise constant by combining a fixed reproduction number with + breakpoints. +- As a random walk (by combining a fixed reproduction number with + regularly spaced breakpoints (i.e weekly)). +- Inferring infections using deconvolution/back-calculation and then + calculating the time-varying reproduction number. +- Adjustment for the remaining susceptible population beyond the + forecast horizon. These options generally reduce runtimes at the cost of the granularity of estimates or at the cost of real-time performance. @@ -81,20 +81,20 @@ admissions) using `estimate_secondary()`. ## Installation -Install the stable version of the package: +Install the released version of the package: ``` r install.packages("EpiNow2") ``` -Install the stable development version of the package with: +Install the development version of the package with: ``` r install.packages("EpiNow2", repos = "https://epiforecasts.r-universe.dev") ``` -Install the unstable development version of the package with (few users -should need to do this): +Alternatively, install the development version of the package with (few +users should need to do this): ``` r remotes::install_github("epiforecasts/EpiNow2") @@ -161,7 +161,7 @@ reporting_delay <- estimate_delay( If data was not available we could instead make an informed estimate of the likely delay (*this is a synthetic example and not applicable to -real world use cases and we have not included uncertainty to decreased +real world use cases and we have not included uncertainty to decrease runtimes*), ``` r @@ -201,7 +201,6 @@ Load example case data from `{EpiNow2}`. reported_cases <- example_confirmed[1:60] head(reported_cases) #> date confirm -#> #> 1: 2020-02-22 14 #> 2: 2020-02-23 62 #> 3: 2020-02-24 53 @@ -229,10 +228,10 @@ estimates <- epinow( stan = stan_opts(cores = 4, control = list(adapt_delta = 0.99)), verbose = interactive() ) -#> DEBUG [2023-01-24 20:19:35] epinow: Running in exact mode for 2000 samples (across 4 chains each with a warm up of 250 iterations each) and 74 time steps of which 7 are a forecast names(estimates) -#> [1] "estimates" "estimated_reported_cases" "summary" -#> [4] "plots" "timing" +#> [1] "estimates" "estimated_reported_cases" +#> [3] "summary" "plots" +#> [5] "timing" ``` Both summary measures and posterior samples are returned for all @@ -244,35 +243,33 @@ parameters at the latest date partially supported by data. knitr::kable(summary(estimates)) ``` -| measure | estimate | -| :------------------------------------ | :---------------------- | -| New confirmed cases by infection date | 2241 (1175 – 4043) | -| Expected change in daily cases | Likely decreasing | -| Effective reproduction no. | 0.87 (0.62 – 1.2) | -| Rate of growth | \-0.037 (-0.11 – 0.042) | -| Doubling/halving time (days) | \-19 (17 – -6.2) | +| measure | estimate | +|:--------------------------------------|:-----------------------| +| New confirmed cases by infection date | 2260 (1145 – 4079) | +| Expected change in daily cases | Likely decreasing | +| Effective reproduction no. | 0.88 (0.63 – 1.2) | +| Rate of growth | -0.033 (-0.11 – 0.041) | +| Doubling/halving time (days) | -21 (17 – -6.3) | Summarised parameter estimates can also easily be returned, either filtered for a single parameter or for all parameters. ``` r head(summary(estimates, type = "parameters", params = "R")) -#> date variable strat type median mean sd lower_90 lower_50 -#> -#> 1: 2020-02-22 R NA estimate 2.148647 2.154214 0.14450153 1.929487 2.051622 -#> 2: 2020-02-23 R NA estimate 2.121512 2.125653 0.12003979 1.931839 2.042736 -#> 3: 2020-02-24 R NA estimate 2.093420 2.095419 0.09974015 1.936182 2.027337 -#> 4: 2020-02-25 R NA estimate 2.061786 2.063610 0.08349157 1.930889 2.007475 -#> 5: 2020-02-26 R NA estimate 2.030095 2.030369 0.07109622 1.915872 1.983404 -#> 6: 2020-02-27 R NA estimate 1.996345 1.995861 0.06219250 1.893969 1.956212 -#> lower_20 upper_20 upper_50 upper_90 -#> -#> 1: 2.111131 2.185022 2.253146 2.398995 -#> 2: 2.091795 2.154419 2.208429 2.328889 -#> 3: 2.067632 2.120660 2.161471 2.260970 -#> 4: 2.041539 2.084712 2.119120 2.199715 -#> 5: 2.011280 2.048115 2.077987 2.146658 -#> 6: 1.980218 2.012074 2.036623 2.097979 +#> date variable strat type median mean sd lower_90 +#> 1: 2020-02-22 R NA estimate 2.106722 2.110304 0.13394453 1.893217 +#> 2: 2020-02-23 R NA estimate 2.078456 2.079754 0.11199646 1.895084 +#> 3: 2020-02-24 R NA estimate 2.047571 2.047837 0.09415931 1.894614 +#> 4: 2020-02-25 R NA estimate 2.013123 2.014628 0.08001628 1.881882 +#> 5: 2020-02-26 R NA estimate 1.979236 1.980256 0.06909073 1.866860 +#> 6: 2020-02-27 R NA estimate 1.945204 1.944881 0.06089018 1.845480 +#> lower_50 lower_20 upper_20 upper_50 upper_90 +#> 1: 2.017975 2.075736 2.143921 2.199814 2.331646 +#> 2: 2.003099 2.051668 2.108079 2.154005 2.260400 +#> 3: 1.983107 2.022437 2.070778 2.109637 2.199787 +#> 4: 1.960463 1.993953 2.033858 2.068386 2.143568 +#> 5: 1.933872 1.962735 1.997947 2.025679 2.091690 +#> 6: 1.903834 1.930841 1.960120 1.983832 2.045497 ``` Reported cases are returned in a separate data frame in order to @@ -280,22 +277,20 @@ streamline the reporting of forecasts and for model evaluation. ``` r head(summary(estimates, output = "estimated_reported_cases")) -#> date type median mean sd lower_90 lower_50 lower_20 upper_20 -#> -#> 1: 2020-02-22 gp_rt 50 51.6335 14.08188 32 41 47.0 54 -#> 2: 2020-02-23 gp_rt 69 70.4195 18.02745 44 58 64.0 73 -#> 3: 2020-02-24 gp_rt 76 78.0840 19.29451 49 64 72.0 81 -#> 4: 2020-02-25 gp_rt 79 79.7110 19.49842 51 66 73.0 83 -#> 5: 2020-02-26 gp_rt 84 85.7190 21.08341 54 71 79.0 90 -#> 6: 2020-02-27 gp_rt 119 121.6290 29.19472 77 101 112.6 127 -#> upper_50 upper_90 -#> -#> 1: 60 77.00 -#> 2: 81 103.00 -#> 3: 89 112.00 -#> 4: 92 114.00 -#> 5: 98 123.05 -#> 6: 140 173.00 +#> date type median mean sd lower_90 lower_50 lower_20 +#> 1: 2020-02-22 gp_rt 50 51.1930 13.63311 30 42 47 +#> 2: 2020-02-23 gp_rt 68 70.0595 17.77081 44 58 64 +#> 3: 2020-02-24 gp_rt 76 77.0875 18.71673 49 64 71 +#> 4: 2020-02-25 gp_rt 77 78.7475 19.59236 50 65 73 +#> 5: 2020-02-26 gp_rt 85 86.1595 20.75091 55 72 80 +#> 6: 2020-02-27 gp_rt 118 120.7215 29.62068 77 100 111 +#> upper_20 upper_50 upper_90 +#> 1: 54 60 76.00 +#> 2: 73 80 100.05 +#> 3: 80 88 109.05 +#> 4: 82 91 114.00 +#> 5: 90 99 123.00 +#> 6: 125 138 173.00 ``` A range of plots are returned (with the single summary plot shown @@ -308,7 +303,7 @@ plot(estimates) ![](man/figures/unnamed-chunk-14-1.png) -### [regional\_epinow()](https://epiforecasts.io/EpiNow2/reference/regional_epinow.html) +### [regional_epinow()](https://epiforecasts.io/EpiNow2/reference/regional_epinow.html) The `regional_epinow()` function runs the `epinow()` function across multiple regions in an efficient manner. @@ -322,7 +317,6 @@ reported_cases <- data.table::rbindlist(list( )) head(reported_cases) #> date confirm region -#> #> 1: 2020-02-22 14 testland #> 2: 2020-02-23 62 testland #> 3: 2020-02-24 53 testland @@ -345,30 +339,19 @@ estimates <- regional_epinow( gp = NULL, stan = stan_opts(cores = 4, warmup = 250, samples = 1000) ) -#> INFO [2023-01-24 20:22:12] Producing following optional outputs: regions, summary, samples, plots, latest -#> INFO [2023-01-24 20:22:12] Reporting estimates using data up to: 2020-04-21 -#> INFO [2023-01-24 20:22:12] No target directory specified so returning output -#> INFO [2023-01-24 20:22:12] Producing estimates for: testland, realland -#> INFO [2023-01-24 20:22:12] Regions excluded: none -#> DEBUG [2023-01-24 20:22:12] testland: Running in exact mode for 1000 samples (across 4 chains each with a warm up of 250 iterations each) and 74 time steps of which 7 are a forecast -#> WARN [2023-01-24 20:22:30] testland (chain: 1): Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. -#> Running the chains for more iterations may help. See -#> https://mc-stan.org/misc/warnings.html#bulk-ess - -#> WARN [2023-01-24 20:22:30] testland (chain: 1): Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. -#> Running the chains for more iterations may help. See -#> https://mc-stan.org/misc/warnings.html#tail-ess - -#> INFO [2023-01-24 20:22:31] Completed estimates for: testland -#> DEBUG [2023-01-24 20:22:31] realland: Running in exact mode for 1000 samples (across 4 chains each with a warm up of 250 iterations each) and 74 time steps of which 7 are a forecast -#> WARN [2023-01-24 20:22:48] realland (chain: 1): Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. -#> Running the chains for more iterations may help. See -#> https://mc-stan.org/misc/warnings.html#bulk-ess - -#> INFO [2023-01-24 20:22:49] Completed estimates for: realland -#> INFO [2023-01-24 20:22:49] Completed regional estimates -#> INFO [2023-01-24 20:22:49] Regions with estimates: 2 -#> INFO [2023-01-24 20:22:49] Regions with runtime errors: 0 -#> INFO [2023-01-24 20:22:49] Producing summary -#> INFO [2023-01-24 20:22:49] No summary directory specified so returning summary output -#> INFO [2023-01-24 20:22:50] No target directory specified so returning timings +#> INFO [2023-04-28 11:43:24] Producing following optional outputs: regions, summary, samples, plots, latest +#> INFO [2023-04-28 11:43:24] Reporting estimates using data up to: 2020-04-21 +#> INFO [2023-04-28 11:43:24] No target directory specified so returning output +#> INFO [2023-04-28 11:43:24] Producing estimates for: testland, realland +#> INFO [2023-04-28 11:43:24] Regions excluded: none +#> INFO [2023-04-28 11:43:52] Completed estimates for: testland +#> INFO [2023-04-28 11:44:20] Completed estimates for: realland +#> INFO [2023-04-28 11:44:20] Completed regional estimates +#> INFO [2023-04-28 11:44:20] Regions with estimates: 2 +#> INFO [2023-04-28 11:44:20] Regions with runtime errors: 0 +#> INFO [2023-04-28 11:44:20] Producing summary +#> INFO [2023-04-28 11:44:20] No summary directory specified so returning summary output +#> INFO [2023-04-28 11:44:21] No target directory specified so returning timings ``` Results from each region are stored in a `regional` list with across @@ -391,10 +374,10 @@ output. knitr::kable(estimates$summary$summarised_results$table) ``` -| Region | New confirmed cases by infection date | Expected change in daily cases | Effective reproduction no. | Rate of growth | Doubling/halving time (days) | -| :------- | :------------------------------------ | :----------------------------- | :------------------------- | :---------------------- | :--------------------------- | -| realland | 2107 (1168 – 3633) | Likely decreasing | 0.86 (0.62 – 1.2) | \-0.039 (-0.11 – 0.043) | \-18 (16 – -6.1) | -| testland | 2075 (1164 – 3683) | Likely decreasing | 0.86 (0.61 – 1.2) | \-0.041 (-0.12 – 0.052) | \-17 (13 – -6) | +| Region | New confirmed cases by infection date | Expected change in daily cases | Effective reproduction no. | Rate of growth | Doubling/halving time (days) | +|:---------|:--------------------------------------|:-------------------------------|:---------------------------|:----------------------|:-----------------------------| +| realland | 2116 (1159 – 3665) | Likely decreasing | 0.86 (0.61 – 1.2) | -0.04 (-0.11 – 0.056) | -17 (12 – -6) | +| testland | 2069 (1141 – 3628) | Likely decreasing | 0.86 (0.6 – 1.1) | -0.039 (-0.12 – 0.04) | -18 (17 – -5.9) | A range of plots are again returned (with the single summary plot shown below). diff --git a/man/figures/unnamed-chunk-14-1.png b/man/figures/unnamed-chunk-14-1.png index 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