Publications by anangwe
Likelihood Estimation for Regression Parameters
Notes 5 Likelihood Estimation for Regression Parameters Notes 5 quilpie data cont. Erick Anangwe Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ── ...
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Poisson Counts | Part 3: Modeling Rates
Notes 13 Poisson Counts | Part 3: Modeling Rates Notes 13 Section 10.3 - Modeling Rates Interpreting beta coefficients 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' wa...
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Modeling Proportions with Binomial Distribution | Part 2: Interpretations of Beta Parameters for Logit Link Function
Notes 7 Modeling Proportions with Binomial Distribution | Part 2: Interpretations of Beta Parameters for Logit Link Function Notes 7 Section 9.5 - Odds, Odds Ratios, and the Logit Link Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(broom...
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Modeling Proportions with Binomial Distribution | Part 3: Probit Link, Median Effective Dose
Notes 8 Modeling Proportions with Binomial Distribution | Part 3: Probit Link, Median Effective Dose Notes 8 Logit link, probit link (Section 9.3) Section 9.6 - Median Effective Dose Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 library(GLMsData) library(b...
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Modeling Proportions with Binomial Distribution | Part 4: Evaluating Model Fit with Residuals
Notes 9 Modeling Proportions with Binomial Distribution | Part 4: Evaluating Model Fit with Residuals Notes 9 Residuals Residuals simulation examples 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 ## Warning: pa...
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Modeling Proportions with Binomial Distribution | Part 5: AIC/BIC, Case Study
Notes 10 Modeling Proportions with Binomial Distribution | Part 5: AIC/BIC, Case Study Notes 10 AIC/BIC Comparing models with AIC/BIC 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 ## Warning: package 'broom' wa...
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Poisson Counts | Part 2: Diagnostics for Outliers
Notes 12 Poisson Counts | Part 2: Diagnostics for Outliers Notes 12 Introduction Outliers in terms of y (residuals) Outliers in terms of Xs (leverage) Outliers in terms of influence (Cook’s distance) Connecting the 3 measures Erick Anangwe Setup Loading packages library(tidyverse) ## Warning: package 'ggplot2' w...
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Poisson Counts | Part 1: Introduction
Notes 11 Poisson Counts | Part 1: Introduction Notes 11 Introduction Poisson Distribution 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 ## Warning: package 'broom' was built under R version 4.3.3 library(statmod) # for...
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Introducing Probability Distributions
Notes 2 Introducing Probability Distributions Notes 2 Distribution functions in R Examples Erick Anangwe Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 We saw in Notes 1 that Generalized Linear Models assume other distributions than normal. Specifically, we mentioned The Binomial dis...
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Binomial and Poisson Distributions
Notes 3 Binomial and Poisson Distributions Notes 3 Binomial distribution Poisson distribution Erick Anangwe Loading packages library(tidyverse) ## Warning: package 'ggplot2' was built under R version 4.3.3 ## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ─�...
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