summary method for objects of class gpss
Usage
# S3 method for class 'gpss'
summary(x)Examples
library(gpss)
data(lalonde)
# categorical variables must be encoded as factors
dat <- transform(lalonde, race_ethnicity = factor(race_ethnicity))
# train and test sets
idx <- sample(seq_len(nrow(dat)), 500)
dat_train <- dat[idx, ]
dat_test <- dat[-idx, ]
# sample of data for speed
mod <- gpss(re78 ~ nsw + age + educ + race_ethnicity, data = dat_train)
summary(mod)
#> Basic Model Information
#> formula: re78 ~ nsw + age + educ + race_ethnicity
#> <environment: 0x3535940d8>
#> number of observations: 500
#> number of covariates: 5
#> mixed data (containing a categorical variable?): FALSE
#>
#> Hyperparrameters
#> b (bandwidth): 5.279943
#> s2 (noise variance): 0.3
#>
#> Scaling information
#> scaled: FALSE
#>
#> Usage Example
#> e.g. fit <- gpss(Y~X)to extract SEs of fitted values: sqrt(diag(fit$post_cov_orig))