Package: dreamer 3.1.0.9000

Richard Daniel Payne

dreamer: Dose Response Models for Bayesian Model Averaging

Fits (longitudinal) dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).

Authors:Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph]

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NEWS

# Install 'dreamer' in R:
install.packages('dreamer', repos = c('https://rich-payne.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rich-payne/dreamer/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3

On CRAN:

bayesiandose-response-modeling

4.95 score 9 stars 5 scripts 256 downloads 46 exports 40 dependencies

Last updated 8 months agofrom:b1ec807399. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winNOTENov 09 2024
R-4.5-linuxNOTENov 09 2024
R-4.4-winNOTENov 09 2024
R-4.4-macNOTENov 09 2024
R-4.3-winOKNov 09 2024
R-4.3-macOKNov 09 2024

Exports:diagnosticsdreamer_data_betadreamer_data_beta_binarydreamer_data_emaxdreamer_data_emax_binarydreamer_data_expdreamer_data_exp_binarydreamer_data_independentdreamer_data_independent_binarydreamer_data_lineardreamer_data_linear_binarydreamer_data_loglineardreamer_data_loglinear_binarydreamer_data_logquaddreamer_data_logquad_binarydreamer_data_quaddreamer_data_quad_binarydreamer_mcmcdreamer_plot_priormodel_betamodel_beta_binarymodel_emaxmodel_emax_binarymodel_expmodel_exp_binarymodel_independentmodel_independent_binarymodel_linearmodel_linear_binarymodel_loglinearmodel_loglinear_binarymodel_logquadmodel_logquad_binarymodel_longitudinal_idpmodel_longitudinal_itpmodel_longitudinal_linearmodel_quadmodel_quad_binaryplot_comparisonplot_tracepost_medxpost_perc_effectposteriorpr_eoipr_medpr_medx

Dependencies:clicodacolorspacecpp11dplyrellipsisfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrjagsrlangrootSolvescalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Dose REsponse models for bAyesian Model avERaging (dreamer)

Rendered fromdreamer.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2022-08-30
Started: 2021-08-16

dreamer Methods

Rendered fromdreamer_method.Rmdusingknitr::rmarkdownon Nov 09 2024.

Last update: 2022-07-12
Started: 2021-08-20

Readme and manuals

Help Manual

Help pageTopics
Calculate MCMC Diagnostics for Parametersdiagnostics
Generate Data from Dose Response Modelsdreamer_data dreamer_data_beta dreamer_data_beta_binary dreamer_data_emax dreamer_data_emax_binary dreamer_data_exp dreamer_data_exp_binary dreamer_data_independent dreamer_data_independent_binary dreamer_data_linear dreamer_data_linear_binary dreamer_data_loglinear dreamer_data_loglinear_binary dreamer_data_logquad dreamer_data_logquad_binary dreamer_data_quad dreamer_data_quad_binary
Bayesian Model Averaging of Dose Response Modelsdreamer_mcmc
Plot Priordreamer_plot_prior
Posterior Plot of Bayesian Model Averagingdreamerplot plot.dreamer_mcmc
Model Creationmodel model_beta model_beta_binary model_emax model_emax_binary model_exp model_exp_binary model_independent model_independent_binary model_linear model_linear_binary model_loglinear model_loglinear_binary model_logquad model_logquad_binary model_quad model_quad_binary
Model Creation: Longitudinal Modelsmodel_longitudinal model_longitudinal_idp model_longitudinal_itp model_longitudinal_linear
Compare Posterior Fitsplot_comparison plot_comparison.default plot_comparison.dreamer_bma
Traceplotsplot_trace
Posterior Distribution of Minimum X% Effective Dosepost_medx post_medx.dreamer_bma post_medx.dreamer_mcmc
Calculate Posterior of a Dose's Percentage Effectpost_perc_effect post_perc_effect.dreamer_bma post_perc_effect.dreamer_mcmc
Posterior Quantities from Bayesian Model Averagingposterior posterior.dreamer_bma posterior.dreamer_mcmc posterior.dreamer_mcmc_independent
Calculate Probability of Meeting Effect of Interest (EOI)pr_eoi
Pr(minimum efficacious dose)pr_med
Probability of minimum X% effective dosepr_medx
Summarize Bayesian Model Averaging MCMC Outputsummary.dreamer_bma
Summarize Model Outputsummary.dreamer_mcmc