R package for statistical inference using partially observed Markov processes
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Updated
Sep 13, 2024 - R
R package for statistical inference using partially observed Markov processes
Basic statistical modelling examples.
Probabilistic Threshold-Free Cluster Enhancement of Neuroimages
Perform inference on algorithm-agnostic variable importance
Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
statespacer: State Space Modelling in R
Predicting Absolute and Relative Abundance by Modeling Efficiency to Derive Intervals and Concentrations
R package for calculation of standard and bootstrap confidence intervals
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
An R package providing a GUI ('shiny' app) for the R package 'brms'.
sub-package of spatstat containing core functionality for data analysis and modelling
Sub-package of spatstat containing code for linear networks
Functional Latent datA Models for clusterING heterogeneOus curveS
Sub-package of spatstat containing functionality for parametric modelling and inference
Chandler-Bate Sandwich Loglikelihood Adjustment
Probability and Statistics Course given at Universidad Panamericana.
📦 NCC: Simulation and analysis of platform trials with non-concurrent controls
A repository containing all the assignments prepared for the course MTH372 Statistical Inference taken by Dr. Monika Arora at IIIT Delhi Winter 2019
Fast CRV3 Jackknife after MacKinnon, Nielsen & Webb (2022)
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