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Merged
quingzz merged 1 commit into from
Jan 20, 2026
Merged

update CRAN submission details #49

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4 changes: 2 additions & 2 deletions CRAN-SUBMISSION
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@@ -1,3 +1,3 @@
Version: 1.2.3
Date: 2025-12-26 09:41:54 UTC
SHA: 8dff07d77bd63492c8d69848ce5c4c5cd621cc90
Date: 2026-01-14 04:13:22 UTC
SHA: c22b4b4a72f3682f42246ecc6bbe84e0dd1afb76
4 changes: 2 additions & 2 deletions DESCRIPTION
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Expand Up @@ -2,7 +2,7 @@ Package: denim
Type: Package
Title: Generate and Simulate Deterministic Compartmental Models
Version: 1.2.3
Date: 2025-12-26
Date: 2026-01-14
Authors@R: c(
person("Thinh", "Ong", , "thinhop@oucru.org", role = c("aut", "cph"),
comment = c(ORCID = "0000-0001-6772-9291")),
Expand All @@ -19,7 +19,7 @@ Authors@R: c(
person("Ingo", "Berg", ,role = c("ctb", "cph"),
comment="Author of the bundled MuParser C++ library")
)
Description: R package to build and simulate deterministic compartmental models that can be non-Markovian. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()). Other supported types of transition from one compartment to another includes fixed transition (constant()), multinomial (multinomial()), fixed transition probability (transprob()).
Description: R package to build and simulate deterministic compartmental models that can be semi-Markovian. Length of stay in each compartment can be defined to follow a parametric distribution (d_exponential(), d_gamma(), d_weibull(), d_lognormal()) or a non-parametric distribution (nonparametric()).
License: MIT + file LICENSE
URL: https://drthinhong.com/denim/,
https://github.com/thinhong/denim
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2 changes: 1 addition & 1 deletion cran-comments.md
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This is a resubmission. In this version I have:
* Clarify the ownership for the bundled code by adding the authors as copyright holders
* Add new test cases
* Update vignette
* Update vignettes


## R CMD check results
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2 changes: 1 addition & 1 deletion vignettes/denim.Rmd
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Expand Up @@ -50,7 +50,7 @@ legend("right", legend = c(0.5, 1.0, 1.5),
col = col_codes, lty = 1, lwd = 3, bty = "\n")
```

A more realistic length of stay distribution can look like this, of which most patients recovered after 4 days. We defined this using a gamma distribution with shape = 3 and rate = 1/2.
A more realistic length of stay distribution can look like this, of which most patients recovered after 4 days. We defined this using a gamma distribution with `shape = 3` and `rate = 1/2`.

```{r, echo=FALSE}
x <- seq(0, 20, 0.001)
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