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**RDS**: Respondent-Driven Sampling**transition.counts.to.Markov.mle**: calculates the mle. i.e. the row proportions of the...

# calculates the mle. i.e. the row proportions of the transition matrix

### Description

calculates the mle. i.e. the row proportions of the transition matrix

### Usage

1 | ```
transition.counts.to.Markov.mle(transition.counts)
``` |

### Arguments

`transition.counts` |
a matrix or table of transition counts |

### Details

depreicated. just use prop.table(transition.counts,1)

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- print.differential.activity.estimate: Prints an differential.activity.estimate object
- print.pvalue.table: Displays a pvalue.table
- print.rds.data.frame: Displays an rds.data.frame
- print.rds.interval.estimate: Prints an 'rds.interval.estimate' object
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- RDS.I.estimates: Compute RDS-I Estimates
- RDS.II.estimates: RDS-II Estimates
- rds.interval.estimate: An object of class rds.interval.estimate
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