📊 Computation and processing of models' parameters
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Updated
May 26, 2024 - R
📊 Computation and processing of models' parameters
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.
Honest inference in regression discontinuity designs
Precision Based Sample Size Calculation
Computationally efficient confidence intervals for cross-validated AUC estimates in R
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.
➖➖➖🔶➖➖ Tidy Simultaneous Confidence Intervals for Multinomial Proportions
Tests and confidence intervals for differences in cross-validated AUC
R package for calculation of standard and bootstrap confidence intervals
Repository for teaching basics of statistics for machine learning
Safety signal detection in pharmacological data (pharmacovigilance)
neatStats: An R package for neat and painless statistical reporting.
Feldman-Cousins Confidence Intervals
A gentle tutorial of accelerated parameter and confidence interval estimation for Hidden Markov Models using Template Model Builder
Sub-package of spatstat containing functionality for parametric modelling and inference
Sub-package of spatstat providing functions for exploratory and nonparametric data analysis
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.
R file that looks at standard error, confidence intervals, and t-tests in a data set.
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