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Andreas Gammelgaard Damsbo 2025-05-14 12:54:44 +02:00
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@ -2710,6 +2710,86 @@
"Author": "Mattan S. Ben-Shachar [aut, cre] (<https://orcid.org/0000-0002-4287-4801>), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>), Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>), Rémi Thériault [aut] (<https://orcid.org/0000-0003-4315-6788>), Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] (<https://orcid.org/0000-0002-4541-6283>), Jessica Burnett [rev] (<https://orcid.org/0000-0002-0896-5099>), Johannes Karreth [rev] (<https://orcid.org/0000-0003-4586-7153>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>)",
"Repository": "CRAN"
},
"emmeans": {
"Package": "emmeans",
"Version": "1.11.1",
"Source": "Repository",
"Type": "Package",
"Title": "Estimated Marginal Means, aka Least-Squares Means",
"Date": "2025-05-03",
"Authors@R": "c(person(\"Russell V.\", \"Lenth\", role = c(\"aut\", \"cre\", \"cph\"), email = \"russell-lenth@uiowa.edu\"), person(\"Balazs\", \"Banfai\", role = \"ctb\"), person(\"Ben\", \"Bolker\", role = \"ctb\"), person(\"Paul\", \"Buerkner\", role = \"ctb\"), person(\"Iago\", \"Giné-Vázquez\", role = \"ctb\"), person(\"Maxime\", \"Herve\", role = \"ctb\"), person(\"Maarten\", \"Jung\", role = \"ctb\"), person(\"Jonathon\", \"Love\", role = \"ctb\"), person(\"Fernando\", \"Miguez\", role = \"ctb\"), person(\"Julia\", \"Piaskowski\", role = \"ctb\"), person(\"Hannes\", \"Riebl\", role = \"ctb\"), person(\"Henrik\", \"Singmann\", role = \"ctb\"))",
"Depends": [
"R (>= 4.1.0)"
],
"Imports": [
"estimability (>= 1.4.1)",
"graphics",
"methods",
"mvtnorm",
"numDeriv",
"stats",
"utils"
],
"Suggests": [
"bayesplot",
"bayestestR",
"biglm",
"brms",
"car",
"coda (>= 0.17)",
"compositions",
"ggplot2",
"knitr",
"lattice",
"lme4",
"lmerTest (>= 2.0.32)",
"logspline",
"MASS",
"mediation",
"mgcv",
"multcomp",
"multcompView",
"MuMIn",
"nlme",
"ordinal (>= 2014.11-12)",
"pbkrtest (>= 0.4-1)",
"rmarkdown",
"rsm",
"sandwich",
"scales",
"splines",
"testthat",
"tibble",
"xtable (>= 1.8-2)"
],
"Enhances": [
"CARBayes",
"coxme",
"gee",
"geepack",
"MCMCglmm",
"MCMCpack",
"mice",
"nnet",
"pscl",
"rstanarm",
"sommer",
"survival"
],
"URL": "https://rvlenth.github.io/emmeans/,https://rvlenth.github.io/emmeans/",
"BugReports": "https://github.com/rvlenth/emmeans/issues",
"LazyData": "yes",
"ByteCompile": "yes",
"Description": "Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term \"estimated marginal means\" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.",
"License": "GPL-2 | GPL-3",
"Encoding": "UTF-8",
"RoxygenNote": "7.3.2",
"VignetteBuilder": "knitr",
"NeedsCompilation": "no",
"Author": "Russell V. Lenth [aut, cre, cph], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Giné-Vázquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Julia Piaskowski [ctb], Hannes Riebl [ctb], Henrik Singmann [ctb]",
"Maintainer": "Russell V. Lenth <russell-lenth@uiowa.edu>",
"Repository": "CRAN"
},
"esquisse": {
"Package": "esquisse",
"Version": "2.1.0",
@ -2757,6 +2837,33 @@
"Maintainer": "Victor Perrier <victor.perrier@dreamrs.fr>",
"Repository": "CRAN"
},
"estimability": {
"Package": "estimability",
"Version": "1.5.1",
"Source": "Repository",
"Type": "Package",
"Title": "Tools for Assessing Estimability of Linear Predictions",
"Date": "2024-05-12",
"Authors@R": "c(person(\"Russell\", \"Lenth\", role = c(\"aut\", \"cre\", \"cph\"), email = \"russell-lenth@uiowa.edu\"))",
"Depends": [
"stats",
"R(>= 4.1.0)"
],
"Suggests": [
"knitr",
"rmarkdown"
],
"Description": "Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), \"A Primer on Linear Models\", Chapman and Hall (ISBN 978-1-4200-6201-4).",
"URL": "https://github.com/rvlenth/estimability, https://rvlenth.github.io/estimability/",
"BugReports": "https://github.com/rvlenth/estimability/issues",
"ByteCompile": "yes",
"License": "GPL (>= 3)",
"VignetteBuilder": "knitr",
"NeedsCompilation": "no",
"Author": "Russell Lenth [aut, cre, cph]",
"Maintainer": "Russell Lenth <russell-lenth@uiowa.edu>",
"Repository": "CRAN"
},
"eulerr": {
"Package": "eulerr",
"Version": "7.0.2",
@ -5407,6 +5514,31 @@
"Author": "Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>), Rémi Thériault [aut] (<https://orcid.org/0000-0003-4315-6788>)",
"Repository": "CRAN"
},
"mvtnorm": {
"Package": "mvtnorm",
"Version": "1.3-3",
"Source": "Repository",
"Title": "Multivariate Normal and t Distributions",
"Date": "2025-01-09",
"Authors@R": "c(person(\"Alan\", \"Genz\", role = \"aut\"), person(\"Frank\", \"Bretz\", role = \"aut\"), person(\"Tetsuhisa\", \"Miwa\", role = \"aut\"), person(\"Xuefei\", \"Mi\", role = \"aut\"), person(\"Friedrich\", \"Leisch\", role = \"ctb\"), person(\"Fabian\", \"Scheipl\", role = \"ctb\"), person(\"Bjoern\", \"Bornkamp\", role = \"ctb\", comment = c(ORCID = \"0000-0002-6294-8185\")), person(\"Martin\", \"Maechler\", role = \"ctb\", comment = c(ORCID = \"0000-0002-8685-9910\")), person(\"Torsten\", \"Hothorn\", role = c(\"aut\", \"cre\"), email = \"Torsten.Hothorn@R-project.org\", comment = c(ORCID = \"0000-0001-8301-0471\")))",
"Description": "Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.",
"Imports": [
"stats"
],
"Depends": [
"R(>= 3.5.0)"
],
"Suggests": [
"qrng",
"numDeriv"
],
"License": "GPL-2",
"URL": "http://mvtnorm.R-forge.R-project.org",
"NeedsCompilation": "yes",
"Author": "Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] (<https://orcid.org/0000-0002-6294-8185>), Martin Maechler [ctb] (<https://orcid.org/0000-0002-8685-9910>), Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)",
"Maintainer": "Torsten Hothorn <Torsten.Hothorn@R-project.org>",
"Repository": "CRAN"
},
"nlme": {
"Package": "nlme",
"Version": "3.1-168",
@ -5493,6 +5625,26 @@
"Maintainer": "Brian Ripley <Brian.Ripley@R-project.org>",
"Repository": "CRAN"
},
"numDeriv": {
"Package": "numDeriv",
"Version": "2016.8-1.1",
"Source": "Repository",
"Title": "Accurate Numerical Derivatives",
"Description": "Methods for calculating (usually) accurate numerical first and second order derivatives. Accurate calculations are done using 'Richardson''s' extrapolation or, when applicable, a complex step derivative is available. A simple difference method is also provided. Simple difference is (usually) less accurate but is much quicker than 'Richardson''s' extrapolation and provides a useful cross-check. Methods are provided for real scalar and vector valued functions.",
"Depends": [
"R (>= 2.11.1)"
],
"LazyLoad": "yes",
"ByteCompile": "yes",
"License": "GPL-2",
"Copyright": "2006-2011, Bank of Canada. 2012-2016, Paul Gilbert",
"Author": "Paul Gilbert and Ravi Varadhan",
"Maintainer": "Paul Gilbert <pgilbert.ttv9z@ncf.ca>",
"URL": "http://optimizer.r-forge.r-project.org/",
"NeedsCompilation": "no",
"Repository": "RSPM",
"Encoding": "UTF-8"
},
"officer": {
"Package": "officer",
"Version": "0.6.8",