Extended diagnostic and visualization tools for Cox proportional hazard models in R
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Updated
Mar 18, 2026 - R
Extended diagnostic and visualization tools for Cox proportional hazard models in R
Group project for Statistical Inference Methods II. Moving beyond simple descriptive statistics, the study focuses on applying various hypothesis tests and inference techniques to draw specific conclusions.
R package to perform goodness-of-fit tests for capture-recapture models (and various manipulations)
Table 1 and diagnostics from complex survey designs
Tests for rotational symmetry on the hypersphere. Software companion for "On optimal tests for rotational symmetry against new classes of hyperspherical distributions"
Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
Limited Information Goodness of Fit Tests for Binary Factor Models
Evaluating the probabilistic forecasts between competitive forecasters
Simulation for the Implementation of a Virtual Queuing System in an Amusement Park
Goodness-of-fit tests for functional data analysis. Software companion for "A goodness-of-fit test for the functional linear model with functional response"
Computational statistics project in R on "A Simulative Comparison of Goodness-of-Fit Tests (GOFTs) from an Operational Risk Perspective with Focus on Loss Severity Distributions"
The Rainfall Intensity Data Series can be Fitted to Eight Different PDFs and the Intensity-Duration-Frequency Curves are Computed
Tests based on Chi-Square distribution using R.
Implementation of various models for contingency table analysis
R Shiny App to determine the factors that are most influential in patients’ survival of CHD. I created a Logistic Regression model in R using RStudio to predict the survival of CHD patients. Retrieved the data from the PHIS database using SQL & built tableau dashboards. The model predicted the survival of CHD with an AUC of over .90 and indicate…
Software companion for "Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes"
Goodness-of-fit test for Poisson Distribution
Data for the reproducibility of Cuesta-Albertos et al. (2019)
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