Publications by anangwe
Gamma Positive Continuous Data | Part 3: Interpreting Multiple Coefficients
Notes 18 Gamma Positive Continuous Data | Part 3: Interpreting Multiple Coefficients Notes 18 Introduction Multiple explanatory variables Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(broom) # for tidy, augment, glance ## Warning: packag...
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Poisson Counts | Part 4: Standard Errors, Hypothesis Tests for Beta Coefficients
Notes 14 Poisson Counts | Part 4: Standard Errors, Hypothesis Tests for Beta Coefficients Notes 14 std.error (Standard error) statistic (Test statistic) p.value (p-value) Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(broom) # for ...
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Poisson Counts | Part 5: Confidence Intervals for Beta Coefficients and the Mean Response
Notes 15 Poisson Counts | Part 5: Confidence Intervals for Beta Coefficients and the Mean Response Notes 15 Confidence intervals for betas Confidence intervals for \(\mu\) Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(broom) # for...
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Gamma Positive Continuous Data | Part 2: Transformation of Predictors
Notes 17 Gamma Positive Continuous Data | Part 2: Transformation of Predictors Notes 17 Link functions Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(broom) # for tidy, augment, glance ## Warning: package 'broom' was built under R version...
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Gamma Positive Continuous Data | Part 1: Intro, Mean-Variance Relationship
Notes 16 Gamma Positive Continuous Data | Part 1: Intro, Mean-Variance Relationship Notes 16 Section 11.2 - Modeling Positive Continuous Data Section 11.3 - The Gamma Distribution Checking the mean-variance relationship for a dataset Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' wa...
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Introduction to Bayesian Statistics | Part 1: Introduction
Notes 19 Introduction to Bayesian Statistics | Part 1: Introduction Notes 19 Frequentist and Bayesian Statistics Prior and Posterior distributions Example Erick Anangwe Setup Install LearnBayes package through Tools > Install Packages Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4...
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Introduction to Bayesian Statistics | Part 2: Using a Beta Prior
Notes 20 Introduction to Bayesian Statistics | Part 2: Using a Beta Prior Notes 20 Proportion of heavy sleepers Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(LearnBayes) Proportion of heavy sleepers We continue with the example context from Notes 19 and C...
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Introduction to Bayesian Statistics | Part 3: General Method for any Prior (ex. Using a Histogram Prior)
Notes 21 Introduction to Bayesian Statistics | Part 3: General Method for any Prior (ex. Using a Histogram Prior) Notes 21 Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(LearnBayes) A method for any choice of prior (Section 2.5) The first paragraph of Section 2.5 ...
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Introduction to Bayesian Statistics | Part 4: Prediction
Notes 22 Introduction to Bayesian Statistics | Part 4: Prediction Notes 22 Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(LearnBayes) library(cowplot) ## Warning: package 'cowplot' was built under R version 4.3.2 Same problem context We continue with the example ...
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Modeling Proportions with Binomial Distribution | Part 1: Fitting Logit Link Model
Notes 6 Modeling Proportions with Binomial Distribution | Part 1: Fitting Logit Link Model Notes 6 Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(broom) ## Warning: package 'broom' was built under R version 4.3.3 Organization of course Units in ...
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