R package for statistical inference using partially observed Markov processes

Basic statistical modelling examples.

sub-package of spatstat containing core functionality for data analysis and modelling

Texomer: Integrating Analysis of Cancer Genome and Transcriptome Sequencing Data

Perform inference on algorithm-agnostic variable importance

statespacer: State Space Modelling in R

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Probabilistic Threshold-Free Cluster Enhancement of Neuroimages

📦 NCC: Simulation and analysis of platform trials with non-concurrent controls

Sub-package of spatstat containing code for linear networks

R package for calculation of standard and bootstrap confidence intervals

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

Multiple Hypotheses Testing for Hierarchical Data

Probability and Statistics Course given at Universidad Panamericana.

Chandler-Bate Sandwich Loglikelihood Adjustment

Monte carlo simulation to estimate the power function of the hypothesis testing by using test statistic T.

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

A repository containing all the assignments prepared for the course MTH372 Statistical Inference taken by Dr. Monika Arora at IIIT Delhi Winter 2019

Testing methods for measuring variable importance in species distribution models

Sub-package of spatstat containing functionality for parametric modelling and inference