M Iqbal Jeelani
Scientist (Agricultural Statistics) ·
Statistician and R Programmer ·
Building statistical tools
for the research community
Dr. Iqbal is a passionate Statistician & R programmer with specialization in statistical modelling, machine learning and Rank Set Sampling. Through this platform, he empowers researchers, academicians, and professionals to transform complex datasets into actionable insights using intuitive analytical tools and customised Shiny web applications.
With expertise in applied statistics and interdisciplinary domains in agricultural and allied sciences, his work focuses on improving data accessibility, advancing statistical literacy, and supporting innovative research through consultancy, training, and intelligent analytical solutions.
imiqbalstat is built to democratise sophisticated statistical analysis — providing every researcher with advanced computational and analytical capabilities regardless of coding experience.
Specialisations
Published R Packages on CRAN
The statistical engines powering imiqbalstat are grounded in peer-reviewed R packages published on CRAN — freely available to the global research community.
Provides neural network tools for regression analysis with support for multiple hidden neuron configurations, cross-validation, data normalisation, and performance metrics (R², RMSE, MAE).
Tools for fitting and validating allometric models to estimate conifer tree volume — serving forestry professionals and researchers with accurate volume estimation workflows.
Develops and evaluates AI-based neural network models for estimating tree volume using height and diameter at breast height (DBH) as input variables.
Applies machine learning algorithms for volume prediction of conifer trees using diameter and height measurements — bridging ML and applied forestry research.
Fits and validates non-linear models assessing relationships between tree height and diameter at breast height in conifer trees — essential for forest inventory and planning.
Let's work together
For consultancy, custom Shiny app development, training programmes, or platform support.
Get in Touch →