Sim_Fit {ACEsimFit} | R Documentation |
A function to simulate a set of kin pair data and fit them with ACE models. Can be helpful with checking model performance for a given parameter setting.
Sim_Fit(
GroupNames = c("KinPair1", "KinPair2"),
GroupSizes = c(100, 100),
nIter = 100,
SSeed = 62,
GroupRel = c(1, 0.5),
GroupR_c = c(1, 1),
mu = c(0, 0),
ace1 = c(1, 1, 1),
ace2 = c(1, 1, 1),
ifComb = FALSE,
lbound = FALSE,
saveRaw = FALSE
)
GroupNames |
A character vector specifying two names of the simulated kin pairs |
GroupSizes |
A numeric vector specifying two group sizes indicating the amount of kin pairs in respective group. |
nIter |
A numeric value specifying the number of iteration you want to run given the parameters assigned (i.e. the number of model fitting results you want to get) |
SSeed |
An integer specifying the starting seed of the random number. This parameter will make sure the simulated results are replicable across time |
GroupRel |
A numeric vector specifying two genetic relatedness values of the simulated kin pairs |
GroupR_c |
A numeric vector specifying two common environment correlation coefficients of the simulated kin pairs |
mu |
A numeric vector specifying two mean values for the generated variable of the kin pairs |
ace1 |
A numeric vector specifying three variance components under an ACE (additive genetics, common environment, unique environment) structure for group1 |
ace2 |
A numeric vector specifying three variance components under an ACE (additive genetics, common environment, unique environment) structure for group2 |
ifComb |
A logical value specifying the approach to achieve the required genetic relatedness value. |
lbound |
A logical value indicating if a lower boundary of .0001 will be imposed to the estimated A, C and E components |
saveRaw |
A logical value specifying if the raw simulated data should be saved in the output list |
Returns a two-level list
. Level-one is the number of iterations. Level-two is the model fitting results and raw data (if saveRaw = TRUE
) of the simulated data from the respective iteration. Level-two includes:
Results |
A |
Data |
A |