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Permutation test for the Sieve-NPMLE switch method with null hypothesis H_0: F_carr = F_non and alternative hypothesis H_1: F_carr is not equal to F_non.
● Data Source:
CranContrib
● Keywords:
● Alias: Permutation_Test
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This function is used for calculating standard error estimates and 95% confidence bands in quantile using the bootstrap method.
● Data Source:
CranContrib
● Keywords:
● Alias: Sieve_NPMLE_Bootstrap
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The package ‘GSSE’ (Genotype-Specific Survival Estimation) is made to implement a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. The package can handle missing genotypes in pedigrees. We estimate time-dependent hazard ratio between two genetic mutation groups using B-splines and apply nonparametric maximum likelihood estimation to the reference baseline hazard function. The estimators are calculated via an expectation-maximization algorithm.
● Data Source:
CranContrib
● Keywords: package
● Alias: GSSE, GSSE-package
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This function is used to calculate the probability of a relative being a carrier.
● Data Source:
CranContrib
● Keywords:
● Alias: p0G_Func
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This function is used to estimate the genotype-specific distribution of time-to-event outcomes with the Sieve-NPMLE switch algorithm.
● Data Source:
CranContrib
● Keywords:
● Alias: Sieve_NPMLE_Switch
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This function is used to estimate the genotype-specific distribution of time-to-event outcomes using EM-PAVA algorithm (Qin et al. 2014).
● Data Source:
CranContrib
● Keywords:
● Alias: EM_PAVA_Func
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This function is used to calculate the Kolmogorov-Smirnov statistic: D(F_1, F_2) = sup_{x}|F_1(x) - F_2(x)| .
● Data Source:
CranContrib
● Keywords:
● Alias: test_stat
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