# mixMatrix: Mix Matrix Distributions into a new Matdist In distr6: The Complete R6 Probability Distributions Interface

 mixMatrix R Documentation

## Mix Matrix Distributions into a new Matdist

### Description

Given `m` matrix distributions distributions of length `N`, creates a new Matdist by summing over the weighted cdfs. Note that this method does not create a MixtureDistribution but a new Matdist. Assumes Matrix distributions have the same number of columns, otherwise use `mixturiseVector(lapply(mds, as.VectorDistribution))`.

### Usage

```mixMatrix(mds, weights = "uniform")
```

### Arguments

 `mds` `(list())` List of Matdists, should have same number of rows and columns. `weights` `(character(1)|numeric())` Individual distribution weights. Default uniform weighting (`"uniform"`).

### Details

This method returns a new Matdist which is less flexible than a MixtureDistribution which has parameters (i.e. `weights`) that can be updated after construction.

mixturiseVector

### Examples

```m1 <- as.Distribution(
t(apply(matrix(runif(25), 5, 5, FALSE,
list(NULL, 1:5)), 1,
function(x) x / sum(x))),
fun = "pdf"
)
m2 <- as.Distribution(
t(apply(matrix(runif(25), 5, 5, FALSE,
list(NULL, 1:5)), 1,
function(x) x / sum(x))),
fun = "pdf"
)
# uniform mixing
m3 <- mixMatrix(list(m1, m2))

# un-uniform mixing
m4 <- mixMatrix(list(m1, m2), weights = c(0.1, 0.9))

m1\$cdf(3)
m2\$cdf(3)
m3\$cdf(3)
m4\$cdf(3)

```

distr6 documentation built on March 28, 2022, 1:05 a.m.