---
title: "model_parameters"
authod: "Victor Navarro"
output: rmarkdown::html_vignette
bibliography: references.bib
vignette: >
  %\VignetteIndexEntry{model_parameters}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE, message = FALSE}
library(calmr)
```
#### [RW1972](RW1972.html)

```{r}
model_parameters("RW1972")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Learning rate for presented stimulus|
|betas_on, betas_off|$\beta_{on},\beta_{off}$|Intensity of presented and absent target|
|lambdas|$\lambda$|Maximum learning supported by target|

#### [MAC1975](MAC1975.html)

```{r}
model_parameters("MAC1975")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Starting associability (learning rate) for presented stimulus|
|min_alphas, max_alphas|$\alpha_{min}, \alpha_{max}$|Minimum and maximum associability for stimulus|
|betas_on, betas_off|$\beta_{on},\beta_{off}$|Intensity of presented and absent target|
|lambdas|$\lambda$|Maximum learning supported by target|
|thetas|$\theta$|Attentional learning rate parameter for stimulus|
|gammas|$\gamma$|Attentional learning weight for stimulus|

#### [PKH1982](PKH1982.html)

```{r}
model_parameters("PKH1982")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Learning rate for presented stimulus|
|min_alphas, max_alphas|$\alpha_{min}, \alpha_{max}$|Minimum and maximum associability for stimulus|
|betas_in, betas_ex|$\beta_{in},\beta_{ex}$|Learning rates for inhibitory and excitatory associations|
|lambdas|$\lambda$|Maximum learning supported by target|
|thetas|$\theta$|Decay/strengthening associability rate parameter for stimulus|
|gammas|$\gamma$|Attentional learning weight for stimulus|

#### [SM2007](SM2007.html)
```{r}
model_parameters("SM2007")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Learning rate for presented stimulus|
|lambdas|$\lambda$|Maximum learning supported by target|
|omegas|$\omega$|Weakening rate for presented stimulus|
|rhos|$\rho$|Salience contribution for unconditioned activation of target|
|gammas|$\gamma$|Contribution of stimulus to comparison process|
|taus|$\tau$|Learning rate for operator switch|
|order|$order$|Order for the comparison process|

#### [HDI2020/HD2022](HD2022.html)
```{r}
model_parameters("HDI2020")
model_parameters("HD2022")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Learning rate for presented stimulus|

#### [TD](TD.html)

```{r}
model_parameters("TD")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Learning rate for presented stimulus|
|betas_on, betas_off|$\beta_{on},\beta_{off}$|Intensity of presented and absent target|
|lambdas|$\lambda$|Maximum learning supported by target|
|gamma|$\gamma$|Temporal discount parameter|
|sigma|$\sigma$|Rate of decay for eligibility traces|

#### [ANCCR](ANCCR.html)

```{r}
model_parameters("ANCCR")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|reward_magnitude|$CW_{j,j}$|Reward magnitude for target|
|betas|$\beta$|Unconditional value for target|
|cost|$cost$|Response cost|
|temperature|$temperature$|Temperature for softmax function|
|threshold|$\theta$|Threshold to become meaningful causal target/putative cause|
|k,alpha,alpha_reward|$k,\alpha,\alpha_{reward}$|Learning rates for predecessor representation, predecessor representation contingency, and causal weights.
|w|$w$|Weight for net contingency computation|
|minimum_rate|$minimum\_rate$|Lower bound on perceivable event rates|
|sampling_interval|$sampling\_interval$|Time interval to update base rate calculations|
|use_exact_mean|$use\_exact\_mean$|Whether to use exact mean calculations for $\alpha$|
|t_ratio|$t\_ratio$|Ratio to calculate time constant|
|use_timed_alpha|$use\_timed\_alpha$|Whether to use exponential decay for $\alpha$|
|alpha_exponent, alpha_init, alpha_min|$alpha\_exponent,alpha\_init, alpha\_min$|Parameters for exponential decay of $\alpha$|
|add_beta|$add\_beta$|Whether to add $\beta$ to dopaminergic activity|
|jitter|$jitter$|Magnitude of perceptual noise for simultaneous events|

#### [RAND](RAND.html)

```{r}
model_parameters("RAND")
```

| Name | Symbol | Description |
|:----|:----:|:---|
|alphas|$\alpha$|Placeholder; no meaning.|