Showing 5 of total 5 results (show query)
pavlakrotka
NCC:Simulation and Analysis of Platform Trials with Non-Concurrent Controls
Design and analysis of flexible platform trials with non-concurrent controls. Functions for data generation, analysis, visualization and running simulation studies are provided. The implemented analysis methods are described in: Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>, Saville et al. (2022) <doi:10.1177/17407745221112013> and Schmidli et al. (2014) <doi:10.1111/biom.12242>.
Maintained by Pavla Krotka. Last updated 20 days ago.
clinical-trialsplatform-trialssimulationstatistical-inferencejagscpp
5 stars 6.64 score 29 scripts
courtiol
IsoriX:Isoscape Computation and Inference of Spatial Origins using Mixed Models
Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'terra' using 'lattice'.
Maintained by Alexandre Courtiol. Last updated 7 months ago.
14 stars 5.59 score 56 scripts
bsaul
inferference:Methods for Causal Inference with Interference
Provides methods for estimating causal effects in the presence of interference described in B. Saul and M. Hugdens (2017) <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele (2012) <doi:10.1177/0962280210386779>.
Maintained by Bradley Saul. Last updated 4 years ago.
6 stars 5.47 score 49 scripts
f-rousset
blackbox:Black Box Optimization and Exploration of Parameter Space
Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012 <doi:10.1093/molbev/MSR262>; Leblois et al., 2014 <doi:10.1093/molbev/msu212>; and see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary Kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.
Maintained by François Rousset. Last updated 1 years ago.
1.79 score 8 scripts 1 dependentsf-rousset
Infusion:Inference Using Simulation
Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated. The package implements more advanced methods than the ones first described in: Rousset, Gouy, Almoyna and Courtiol (2017) <doi:10.1111/1755-0998.12627>.
Maintained by François Rousset. Last updated 6 months ago.
1.18 score 15 scripts