Showing 10 of total 10 results (show query)
poissonconsulting
mcmcderive:Derive MCMC Parameters
Generates derived parameter(s) from Monte Carlo Markov Chain (MCMC) samples using R code. This allows Bayesian models to be fitted without the inclusion of derived parameters which add unnecessary clutter and slow model fitting. For more information on MCMC samples see Brooks et al. (2011) <isbn:978-1-4200-7941-8>.
Maintained by Joe Thorley. Last updated 2 months ago.
5.53 score 5 scripts 8 dependents
angabrio
missingHE:Missing Outcome Data in Health Economic Evaluation
Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and fit, and to summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Maintained by Andrea Gabrio. Last updated 2 years ago.
cost-effectiveness-analysishealth-economic-evaluationindividual-level-datajagsmissing-dataparametric-modellingsensitivity-analysiscpp
5 stars 5.38 score 24 scriptspoissonconsulting
bboutools:Boreal Caribou Survival, Recruitment and Population Growth
Estimates annual survival, recruitment and population growth for boreal caribou populations using Bayesian and Maximum Likelihood models with fixed and random effects.
Maintained by Seb Dalgarno. Last updated 2 months ago.
1 stars 5.11 score 13 scripts 2 dependentspoissonconsulting
jmbr:Analyses Using JAGS
Facilitates analyses using 'Just Another Gibbs Sampler'.
Maintained by Joe Thorley. Last updated 2 months ago.
3 stars 4.98 score 5 scriptspoissonconsulting
embr:Model Builder Utility Functions and Virtual Classes
Utility functions and virtual classes shared by model builder packages such as tmbr, jmbr and smbr.
Maintained by Joe Thorley. Last updated 2 months ago.
3 stars 4.61 score 4 scripts 3 dependentspoissonconsulting
mcmcdata:Manipulate MCMC Samples and Data Frames
Manipulates Monte Carlo Markov Chain samples and associated data frames.
Maintained by Joe Thorley. Last updated 3 months ago.
1 stars 3.56 score 4 scripts 4 dependentspoissonconsulting
bbousuite:Easily Install and Load `bbou` (Boreal cariBOU) Packages
The `bbou` suite of packages are designed to allow analysis (`bbouretro` and `bboutools`) and simulation (`bbousims`) of Boreal Caribou survival and recruitment data ('bboudata') to estimate population growth rates. A shiny app is also available (`bboushiny`).
Maintained by Ayla Pearson. Last updated 24 days ago.
3.40 score 4 scriptspoissonconsulting
bboushiny:Shiny App for Analysing Boreal Caribou Surival, Recruitment and Lambda
Use Bayesian methods to calculate survival, recruitment and lambda as well as confidence intervals.
Maintained by Pearson Ayla. Last updated 3 months ago.
3.32 score 3 scripts 1 dependentspoissonconsulting
smbr:Facilitates Bayesian Analysis using STAN
Facilitates analyses using STAN.
Maintained by Joe Thorley. Last updated 2 months ago.
1 stars 3.10 score 4 scriptspoissonconsulting
tmbr:Analyses Using TMB
Facilitates analyses using 'Template Model Builder'.
Maintained by Joe Thorley. Last updated 3 months ago.
2.78 score 4 scripts