| residuals.ddhazard | R Documentation |
Residuals method for the result of a ddhazard call.
## S3 method for class 'ddhazard'
residuals(
object,
type = c("std_space_error", "space_error", "pearson", "raw"),
data = NULL,
...
)
object |
result of |
type |
type of residuals. Four possible values: |
data |
|
... |
not used. |
Returns a list as described in the Pearson and raw residuals section and in the State space errors section.
Is the result of a call with a type argument of either "pearson" or "raw" for Pearson residuals or raw residuals. Returns a list with class "ddhazard_residual" with the following elements.
residualslist of residuals for each bin. Each element of the list contains a 2D array where the rows corresponds to the passed data and columns are the residuals (residuals), estimated probability of death (p_est), outcome (Y) and row number in the initial data set (row_num). The data rows will only have a residuals in a given risk list if they are at risk in that risk set.
typethe type of residual.
Is the result of a call with a type argument of either "std_space_error" or "space_error". The former is for standardized residuals while the latter is non-standardized. Returns a list with class. "ddhazard_space_errors" with the following elements:
residuals2D array with either standardized or non-standardized state space errors. The row are bins and the columns are the parameters in the regression.
standardizeTRUE if standardized state space errors.
Covariances3D array with the smoothed co-variance matrix for each set of the state space errors.
library(dynamichazard) fit <- ddhazard( Surv(time, status == 2) ~ log(bili), pbc, id = pbc$id, max_T = 3600, Q_0 = diag(1, 2), Q = diag(1e-4, 2), by = 50, control = ddhazard_control(method = "GMA")) resids <- residuals(fit, type = "pearson")$residuals head(resids[[1]]) head(resids[[2]])
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