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Comparing posterior predictions
3 years ago
Overview | Comparing posterior toxicity values | Comparing posterior fitted values
bayesnec 2.1.3.1
Rebecca Fisher
example4.Rmd
Model details
3 years ago
Models in bayesnec | Parameter definitions | Model types for NEC and EC~x~ estimation | Model suitability for response types | Model definitions | EC~x~ models | ecxlin | ecxexp | ecxsigm | ecx4param | ecxwb1 | ecxwb1p3 | ecxwb2 | ecxwb2p3 | ecxll5 | ecxll4 | ecxll3 | ecxhormebc5 | ecxhormebc4 | NEC models | neclin | nec3param | nec4param | nechorme | nechormepwr | neclinhorme | nechorme4 | nechorme4pwr | nechormepwr01 | necsigm | References
bayesnec 2.1.3.1
Rebecca Fisher
example2b.Rmd
Multi model usage
3 years ago
bayesnec | Examples | Fitting multiple models and model averaging using the bnec function | Fitting a bnec model | Exploring a bayesmanecfit model | Extracting toxicity values | Putting it all together | References
bayesnec 2.1.3.1
Rebecca Fisher
example2.Rmd
Priors
3 years ago
Overview | Default priors in bayesnec | Priors for response-scaled parameters | Priors for predictor-scaled parameters | Priors for other parameters | User specified priors | bayesnecfit | bayesmanecfit
bayesnec 2.1.3.1
Rebecca Fisher
example3.Rmd
Running bayesnec
3 years ago
cmdstanr installation workflow | 1. Install Rtools | 2. Install git | 3. Intall cmdstan | 4. Test cmdstan in R studio | Compile a model | Run a model using brms | References
bayesnec 2.1.3.1
Rebecca Fisher
example5.Rmd
Single model usage
3 years ago
bayesnec | Background | Installation | Examples | Fitting the nec4param model using bnec | Binomial data | Beta-Binomial | Beta data | Poisson data | Negative binomial | Measure data | References
bayesnec 2.1.3.1
Rebecca Fisher
example1.Rmd