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# cf. Kuchibhotla et al. (2022)
# 10.1146/annurev-statistics-100421-044639

library(MASS)
library(AICcmodavg)
library(parallel)

# Set number of CPU cores
options(cl.cores = 8)

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# https://github.com/OhkuboYusaku/blog/tree/main/causal

library(lavaan)
library(parallel)

N.sim <- 10000
N.sample <- 100

sig.y <- 10

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---
title: "R Notebook"
output: html_notebook
---

# Intrinsic Gaussian CAR model using NIMBLE

```{r setup}
library(readr)
library(nimble)

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---
title: "R Notebook"
output: html_notebook
---

# Cormack-Jolly-Seber (CJS) model

```{r setup}
library(AHMbook)
library(nimble)

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---
title: "R Notebook"
output: html_notebook
---

# N-mixture model

```{r setup}
library(AHMbook)
library(nimble)

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---
title: "R Notebook"
output: html_notebook
---

# Cormack-Jolly-Seber (CJS) model

```{r setup}
library(AHMbook)
library(nimbleEcology)

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---
title: "R Notebook"
output: html_notebook
---

# N-mixture model

```{r setup}
library(AHMbook)
library(nimbleEcology)

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---
title: "R Notebook"
output: html_notebook
---

# Dynamic occupancy model

```{r setup}
library(AHMbook)
library(nimbleEcology)

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---
title: "R Notebook"
output: html_notebook
---

# Site occupancy model analyzed using nimbleEcology

```{r setup}
library(AHMbook)
library(nimbleEcology)

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---
title: "R Notebook"
output: html_notebook
---

```{r setup}
library(AHMbook)
library(unmarked)
library(nimble)
library(coda)