Package: embr 0.0.1.9037
embr: Model Builder Utility Functions and Virtual Classes
Utility functions and virtual classes shared by model builder packages such as tmbr, jmbr and smbr.
Authors:
embr_0.0.1.9037.tar.gz
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embr.pdf |embr.html✨
embr/json (API)
NEWS
# Install 'embr' in R: |
install.packages('embr', repos = c('https://poissonconsulting.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/poissonconsulting/embr/issues
- density99 - Density99
Last updated 5 days agofrom:3ce9b551d1. Checks:OK: 2 ERROR: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | ERROR | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | ERROR | Nov 01 2024 |
R-4.4-mac | ERROR | Nov 01 2024 |
R-4.3-win | ERROR | Nov 01 2024 |
R-4.3-mac | ERROR | Nov 01 2024 |
Exports:add_analysesadd_modelsanalyseanalyse_residualsanalyse1analysesas.analysesas.modelas.modelsaugmentbackwardsbase_modelcheck_mb_analysischeck_mb_codecheck_mb_modelcheck_model_parscheck_uniquely_named_listcodecoefcoef_profilecomment_stringdata_setdrop_parselapsedestimatesfittedget_analysis_modeget_modelglanceICis_bayesianis_frequentistis_namedlistis.lmb_analysisis.lmb_codeis.lmb_modelis.mb_analysesis.mb_analysisis.mb_codeis.mb_modelis.mb_modelsis.mb_null_analysisis.syntacticload_modellog_odds_ratio2logLikmake_all_modelsmb_codemcmc_derive_datamodelmodelsmodify_datamodify_new_datamonitornew_analysisnew_exprnew_expr<-new_mb_codengensnmodelsnthinodds_ratio2plot_dataplot_residualsposterior_predictive_checkpredictproportional_change2proportional_difference2R2random_effectsreanalysereanalyse1rm_commentssample_sizescalar_nlistsd_priors_byselect_rescale_dataset_analysis_modesimulate_residualssort_by_icsort_nlisttemplatetemplate<-termstidyupdate_model
Dependencies:abindaudiobeeprchkclicodacodetoolscolorspacecpp11dplyrextrasfansifarverforeachgenericsggplot2gluegtablehmsisobanditeratorslabelinglatticelifecyclelubridatemagrittrMASSMatrixmatrixStatsmcmcdatamcmcderivemcmcrmgcvmunsellnewdatanlistnlmepillarpkgconfigplyrpurrrR6RColorBrewerRcpprescalerlangscalesstringistringrtermtibbletidyrtidyselecttimechangeuniversalsutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Add analyses | add_analyses |
Add model(s) | add_models |
Analyse | analyse |
Analyse Residuals | analyse_residuals |
Analyse | analyse.character |
Analyse | analyse.mb_model |
Analyse | analyse.mb_models |
Analyse | analyse1 |
MB Analyses | analyses |
Coerce to an mb_analyses object | as.analyses |
Coerce to an mb_model object | as.model |
Coerce to an mb_models object | as.models |
Backwards | backwards |
Base Model | base_model |
Check MB Analysis | check_mb_analysis |
Check MB Code | check_mb_code |
Check MB Model | check_mb_model |
Check Model Parameters | check_model_pars |
Check Uniquely Named List | check_uniquely_named_list |
Code | code |
Coef Profile | coef_profile |
Coef TMB Analyses | coef_profile.mb_analyses |
Coef Profile Analysis | coef_profile.mb_analysis |
Coef TMB Meta Analyses | coef_profile.mb_meta_analyses |
Coef TMB Meta Analysis | coef_profile.mb_meta_analysis |
Coef TMB Analyses | coef.mb_analyses |
Coef JAGS Analysis | coef.mb_analysis |
Coef TMB Meta Analyses | coef.mb_meta_analyses |
Coef TMB Meta Analysis | coef.mb_meta_analysis |
Comment String | comment_string |
Data Set | data_set |
Density99 | density99 |
Drop pars | drop_pars |
Elapsed | elapsed |
Estimates | estimates.mb_analysis |
Fitted Values | fitted.mb_analysis |
Get Analysis Mode | get_analysis_mode |
Retrieve model | get_model |
Information Criterion | IC |
Test if is bayesian | is_bayesian |
Test if is frequentist | is_frequentist |
Is Named List | is_namedlist |
Is a LMB Analysis | is.lmb_analysis |
Is a LMB Code | is.lmb_code |
Is a LMB Model | is.lmb_model |
Is MB Analyses? | is.mb_analyses |
Is MB Analysis? | is.mb_analysis |
Is MB Code? | is.mb_code |
Is MB Model? | is.mb_model |
Is MB Models? | is.mb_models |
Is MB Null Analysis? | is.mb_null_analysis |
Is syntactic | is.syntactic |
Load Model | load_model |
Log-Likelihood | logLik.mb_analysis |
Log-Likelihood | logLik.mb_null_analysis |
Make All Models | make_all_models |
MB Code | mb_code new_mb_code |
Derive Data | mcmc_derive_data.mb_analyses |
Derive Data | mcmc_derive_data.mb_analysis |
Derive | mcmc_derive.mb_analyses |
Derive | mcmc_derive.mb_analysis |
MB Model | model |
MB Models | models |
Modify Data | modify_data |
Modify New Data | modify_new_data |
pars to monitor | monitor |
MB Analysis | new_analysis |
new_expr | new_expr |
new_expr set | new_expr<- |
Total Number of MCMC simulations generated (including warmup) | ngens |
Number Models | nmodels |
Number of terms | nterms.mb_analysis |
Thinning Rate | nthin |
Parameter Descriptions | params |
Plot Data | plot_data |
Plot Residuals | plot_residuals |
Plot Analysis | plot.mb_analysis |
Posterior Predictive Check | posterior_predictive_check |
Posterior Predictive Check | posterior_predictive_check.mb_analysis |
Predict | predict.mb_analyses |
Predict | predict.mb_analysis |
R2 | R2 |
R2 | R2.mb_analysis |
Random Effects | random_effects |
Reanalyse | reanalyse |
Reanalyse | reanalyse.mb_analyses |
Reanalyse | reanalyse.mb_analysis |
Reanalyse | reanalyse.mb_meta_analyses |
Reanalyse | reanalyse.mb_meta_analysis |
Reanalyse | reanalyse1 |
Residuals | residuals.mb_analysis |
Removes comments from the template strings(s) of an mb object or a character vector. | rm_comments |
Sample Size | sample_size |
Scalar Named List | scalar_nlist |
Multiply Standard Deviation of Priors By | sd_priors_by sd_priors_by.mb_analysis sd_priors_by.mb_model |
Select and Rescale Data | select_rescale_data |
Set Analysis Mode | set_analysis_mode |
Simulate Residuals | simulate_residuals |
Sort Analyses by IC | sort_by_ic |
Sort Named List | sort_nlist |
Template | template |
Set Template | template<- |
Terms | terms.mb_analysis |
Update MB Model | update_model |