From fde325ee25a735d80a1c3d735504666ba7d356bd Mon Sep 17 00:00:00 2001 From: levenc Date: Tue, 3 Sep 2024 15:30:23 +0200 Subject: [PATCH] update the DESCRIPTION also add r devel to github actions --- .github/workflows/R-CMD-check.yaml | 2 +- DESCRIPTION | 16 +++++++++------- 2 files changed, 10 insertions(+), 8 deletions(-) diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml index dea7953..74d8c97 100644 --- a/.github/workflows/R-CMD-check.yaml +++ b/.github/workflows/R-CMD-check.yaml @@ -20,7 +20,7 @@ jobs: config: - {os: macos-latest, r: 'release'} - {os: windows-latest, r: 'release'} - #- {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'} + - {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'} - {os: ubuntu-latest, r: 'release'} - {os: ubuntu-latest, r: 'oldrel-1'} diff --git a/DESCRIPTION b/DESCRIPTION index 453ebb4..aa7fb44 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -12,12 +12,13 @@ Authors@R: c( person("Audrey","Lavenu",role = c("ctb")), person("Marc","Lavielle",role = c("ctb")) ) -Description: Personalize drug regimens using individual pharmacokinetic and - pharmacokinetic-pharmacodynamic profiles. Using combining therapeutic drug - monitoring (TDM) data and a population model, 'posologyr' provides accurate - a posteriori estimates and allows you to compute the optimal individualized - dosing regimen. The empirical Bayes estimates are computed as described in - Kang et al. (2012) . +Description: Optimize drug regimens through model-informed precision dosing, + using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic + (PK-PD) profiles. By integrating therapeutic drug monitoring (TDM) data with + population models, 'posologyr' provides accurate posterior estimates and + enables the calculation of personalized dosing regimens. The empirical Bayes + estimates are computed following the method described by Kang et al. (2012) + . License: AGPL-3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) @@ -28,7 +29,8 @@ Imports: rxode2, stats, mvtnorm, - data.table + data.table, + lifecycle Suggests: lotri, knitr,