plot_model: E1. Plot a Markov model
In packDAMipd: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data
Description
Usage
Arguments
Value
Examples
View source: R/1_model_functions.R
Description
E1. Plot a Markov model
Usage
1
plot_model(markov)
Arguments
markov
markov_model object
Value
plots
Examples
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tmat <- rbind(c(1, 2), c(3, 4))
colnames(tmat) <- rownames(tmat) <- c("Healthy", "Dead")
tm <- populate_transition_matrix(2, tmat, c(0.5, 0.5, 0, 1))
a <- health_state("Healthy", 1, 1, 0, FALSE)
b <- health_state("Dead", 1, 0, 0, TRUE)
health_states <- combine_state(a, b)
this.strategy <- strategy(tm, health_states, "intervention")
this_markov <- markov_model(this.strategy, 10, c(1, 0), c(0, 0))
p <- plot_model(this_markov)
packDAMipd documentation built on March 3, 2021, 5:07 p.m.
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Description Usage Arguments Value Examples
View source: R/1_model_functions.R
Description
E1. Plot a Markov model
Usage
1 | plot_model(markov)
|
Arguments
markov |
markov_model object |
Value
plots
Examples
1 2 3 4 5 6 7 8 9 | tmat <- rbind(c(1, 2), c(3, 4))
colnames(tmat) <- rownames(tmat) <- c("Healthy", "Dead")
tm <- populate_transition_matrix(2, tmat, c(0.5, 0.5, 0, 1))
a <- health_state("Healthy", 1, 1, 0, FALSE)
b <- health_state("Dead", 1, 0, 0, TRUE)
health_states <- combine_state(a, b)
this.strategy <- strategy(tm, health_states, "intervention")
this_markov <- markov_model(this.strategy, 10, c(1, 0), c(0, 0))
p <- plot_model(this_markov)
|
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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