Package: MIXFIM 1.1
MIXFIM: Evaluation of the FIM in NLMEMs using MCMC
Evaluation and optimization of the Fisher Information Matrix in NonLinear Mixed Effect Models using Markov Chains Monte Carlo for continuous and discrete data.
Authors:
MIXFIM_1.1.tar.gz
MIXFIM_1.1.zip(r-4.5)MIXFIM_1.1.zip(r-4.4)MIXFIM_1.1.zip(r-4.3)
MIXFIM_1.1.tgz(r-4.5-any)MIXFIM_1.1.tgz(r-4.4-any)MIXFIM_1.1.tgz(r-4.3-any)
MIXFIM_1.1.tar.gz(r-4.5-noble)MIXFIM_1.1.tar.gz(r-4.4-noble)
MIXFIM_1.1.tgz(r-4.4-emscripten)MIXFIM_1.1.tgz(r-4.3-emscripten)
MIXFIM.pdf |MIXFIM.html✨
MIXFIM/json (API)
# Install 'MIXFIM' in R: |
install.packages('MIXFIM', repos = c('https://marie-karelle.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:302fe8d962. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 12 2025 |
R-4.5-win | OK | Mar 12 2025 |
R-4.5-mac | OK | Mar 12 2025 |
R-4.5-linux | OK | Mar 12 2025 |
R-4.4-win | OK | Mar 12 2025 |
R-4.4-mac | OK | Mar 12 2025 |
R-4.4-linux | OK | Mar 12 2025 |
R-4.3-win | OK | Mar 12 2025 |
R-4.3-mac | OK | Mar 12 2025 |
Exports:fisher_evaluationfisher_optimizationtemplate_model
Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Evaluation of the FIM in NLMEMs using MCMC | MIXFIM-package MIXFIM |
Evaluation of the Fisher Information Matrix in Nonlinear Mixed Effect Models using Markov Chains Monte Carlo | fisher_evaluation |
Optimization of the sampling times (or doses) in Nonlinear Mixed Effect Models using Markov Chains Monte Carlo | fisher_optimization |
Creation of a Pre-Filled Template for STAN Model. | template_model |