📊 Computation and processing of models' parameters
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Updated
May 13, 2024 - R
📊 Computation and processing of models' parameters
Honest inference in regression discontinuity designs
An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative incidence functions (data with competing risks) using various methods.
Computationally efficient confidence intervals for cross-validated AUC estimates in R
Precision Based Sample Size Calculation
R package for calculation of standard and bootstrap confidence intervals
➖➖➖🔶➖➖ Tidy Simultaneous Confidence Intervals for Multinomial Proportions
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
A gentle tutorial of accelerated parameter and confidence interval estimation for Hidden Markov Models using Template Model Builder
📦 Simultaneous Confidence Bands Based on the Efficient Influence Function and Multiplier Bootstrap 📚 🔮 📡
Tests and confidence intervals for differences in cross-validated AUC
Sub-package of spatstat containing functionality for parametric modelling and inference
neatStats: An R package for neat and painless statistical reporting.
Feldman-Cousins Confidence Intervals
Kendall's Tau for Two-Sample Inference Problems
This repository contains all of the statistical Inference-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
Estimation Approach to Statistical Inference [R Package]
An R project that investigates whether different genres of songs have significantly different durations through the use of a one-way ANOVA test and post hoc significance tests conducted over an excerpt of a dataset consisting of 1 million popular songs compiled by The Echo Nest and a lab at Columbia University.
Repository for teaching basics of statistics for machine learning
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