Showing 8 of total 8 results (show query)
blue-matter
SAMtool:Stock Assessment Methods Toolkit
Simulation tools for closed-loop simulation are provided for the 'MSEtool' operating model to inform data-rich fisheries. 'SAMtool' provides a conditioning model, assessment models of varying complexity with standardized reporting, model-based management procedures, and diagnostic tools for evaluating assessments inside closed-loop simulation.
Maintained by Quang Huynh. Last updated 1 months ago.
3 stars 6.39 score 36 scripts 1 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 scripts
frbcesab
popbayes:Bayesian Model to Estimate Population Trends from Counts Series
Infers the trends of one or several animal populations over time from series of counts. It does so by accounting for count precision (provided or inferred based on expert knowledge, e.g. guesstimates), smoothing the population rate of increase over time, and accounting for the maximum demographic potential of species. Inference is carried out in a Bayesian framework. This work is part of the FRB-CESAB working group AfroBioDrivers <https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/afrobiodrivers/>.
Maintained by Nicolas Casajus. Last updated 1 years ago.
animalbayesiancountspopulationprecisiontemporal-trendjagscpp
1 stars 4.30 score
lrberge
FENmlm:Fixed Effects Nonlinear Maximum Likelihood Models
Efficient estimation of maximum likelihood models with multiple fixed-effects. Standard-errors can easily and flexibly be clustered and estimations exported.
Maintained by Laurent Berge. Last updated 2 years ago.
2.80 score 63 scripts
spjaume
ThresholdROC:Optimum Threshold Estimation
Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.
Maintained by Sara Perez-Jaume. Last updated 12 months ago.
2.21 score 27 scripts 2 dependents
cran
KGode:Kernel Based Gradient Matching for Parameter Inference in Ordinary Differential Equations
The kernel ridge regression and the gradient matching algorithm proposed in Niu et al. (2016) <https://proceedings.mlr.press/v48/niu16.html> and the warping algorithm proposed in Niu et al. (2017) <DOI:10.1007/s00180-017-0753-z> are implemented for parameter inference in differential equations. Four schemes are provided for improving parameter estimation in odes by using the odes regularisation and warping.
Maintained by Mu Niu. Last updated 3 years ago.
2.18 score 1 dependents
bayesstats
jarbes:Just a Rather Bayesian Evidence Synthesis
Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Maintained by Pablo Emilio Verde. Last updated 2 days ago.
1 stars 2.03 score 27 scriptscran
mixedsde:Estimation Methods for Stochastic Differential Mixed Effects Models
Inference on stochastic differential models Ornstein-Uhlenbeck or Cox-Ingersoll-Ross, with one or two random effects in the drift function.
Maintained by Charlotte Dion. Last updated 6 years ago.
1.70 score