v 2.1

1. Add vignettes

v 2.0

1. Change the email address
2. Update the R functions
3. Add the Bayesian bandwidth estimation method for the unknown error density, estimated by the kernel-form error density
4. Add _gaussian for the Gaussian error density

v 1.5

1. Add the Laplace-Metropolis estimator and candidate estimator methods to compute log marginal likelihood

v 1.4

1. Change the prior choice of bandwidths
2. Now use the adaptive random-walk Metropolis algorithm

v 1.3

1. Add the Nadaraya-Watson type kernel
2. Add the Priestley-Chao type kernel
3. Add the Gasser-Muller type kernel

v 1.2

1. Add the ker function to compute different types of kernel functions
2. Update some functions accordingly

v 1.1

1. Add the package dependency
2. Add the Gaussian error in the package title
3. Update the email address

v 1.0

1. Package has built