Description Usage Arguments Value References See Also Examples

Simulation of continuous longitudinal outcome and competing risks data Currently, only the simulation in Elashoff et al(2008) is implemented.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
SimDataC(
k_val,
p1_val,
p1a_val,
p2_val,
g_val,
truebeta,
truegamma,
randeffect,
yfn,
cfn,
mfn
)
``` |

`k_val` |
The number of subjects in study. |

`p1_val` |
The dimension of fixed effects in longitudinal measurements. |

`p1a_val` |
The dimension of random effects in longitudinal measurements. |

`p2_val` |
The dimension of fixed effects in competing risks failure time data. |

`g_val` |
The number of type of failure in competing risks data. |

`truebeta` |
True values for beta, the longitudinal coefficients. |

`truegamma` |
True values for gamma, the survival coefficients. |

`randeffect` |
True values for random effects in longitudinal and competing risks parts,namely in the order of |

`yfn` |
Filename of genereated Y matrix for longitudinal measurements in long format. |

`cfn` |
Filename of genereated C matrix for competing risks failure time data. |

`mfn` |
Filename of genereated M vector to indicate the number of longitudinal measurements per subject. |

Files with names yfn, cfn and mfn.

`censoring_rate` | Censoring rate of the survival data. |

`rate1` | Censoring rate of competing risk 1. |

`rate2` | Censoring rate of competing risk 2. |

`yfn` | Filename of genereated Y matrix for longitudinal measurements. |

`cfn` | Filename of genereated C matrix for competing risks failure time data. |

`mfn` | Filename of genereated M vector to indicate the number of longitudinal measurements per subject. |

Elashoff, Robert M., Gang Li, and Ning Li. "A joint model for longitudinal measurements and survival data in the presence of multiple failure types." Biometrics 64.3 (2008): 762-771.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
# A toy example testint data generations
require(JMcmprsk)
set.seed(123)
yfn=tempfile(pattern = "", fileext = ".txt")
cfn=tempfile(pattern = "", fileext = ".txt")
mfn=tempfile(pattern = "", fileext = ".txt")
k_val=30;p1_val=4;p1a_val=1; p2_val=2;g_val=2;
truebeta=c(10,-1,1.5,0.6);truegamma=c(0.8,-1,0.5,-1); randeffect=c(5,0.5,0.5,0.5);
#writing files
SimDataC(k_val, p1_val, p1a_val, p2_val, g_val,truebeta,
truegamma, randeffect, yfn, cfn, mfn)
jmc_0(p=4,yfn,cfn,mfn,point=6)
``` |

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