Computes the estimated spline coefficients of a SPQR class object
Usage
# S3 method for class 'SPQR'
coef(object, X, ...)Value
A NROW(X) by K matrix containing values of the estimated coefficient, where K is the number of basis functions.
Examples
# \donttest{
set.seed(919)
n <- 200
X <- rbinom(n, 1, 0.5)
Y <- rnorm(n, X, 0.8)
control <- list(iter = 200, warmup = 150, thin = 1)
fit <- SPQR(X = X, Y = Y, method = "MCMC", control = control,
normalize = TRUE, verbose = FALSE)
coef(fit, X = 0)
#> Coefs
#> X theta[1] theta[2] theta[3] theta[4] theta[5] theta[6] theta[7]
#> [1,] 0.01055469 0.007845938 0.105451 0.3418244 0.3533686 0.1440618 0.02596245
#> Coefs
#> X theta[8] theta[9] theta[10]
#> [1,] 0.003678565 0.00313917 0.004113305
# }
