'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
Running examples in ‘rgho-Ex.R’ failed
The error most likely occurred in:

> ### Name: get_gho_dimensions
> ### Title: Returns GHO Dimensions/Codes
> ### Aliases: get_gho_dimensions get_gho_codes man-gho print.gho
> 
> ### ** Examples
> 
> 
> get_gho_dimensions()
Error during request:
Server error: (503) Service Unavailable
Execution halted
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory
'LazyData' is specified without a 'data' directory

Namespace in Imports field not imported from: ‘rgdal’
  All declared Imports should be used.
Namespace in Imports field not imported from: ‘rgdal’
  All declared Imports should be used.
Namespace in Imports field not imported from: 'rgdal'
  All declared Imports should be used.
Namespace in Imports field not imported from: ‘rgdal’
  All declared Imports should be used.
Namespace in Imports field not imported from: ‘rgdal’
  All declared Imports should be used.
Namespace in Imports field not imported from: ‘rgdal’
  All declared Imports should be used.
Namespace in Imports field not imported from: ‘rgdal’
  All declared Imports should be used.

Running examples in ‘bnpmr-Ex.R’ failed
The error most likely occurred in:

> ### Name: bnpmr
> ### Title: Monotonic regression
> ### Aliases: bnpmr
> ### Keywords: models
> 
> ### ** Examples
> 
> ########################################################################
> ## example 1
> ## generate some example data
> x <- seq(0,1,length=100) 
> y <- 2+3*x/(0.05+x)+rnorm(100, 0, 1)
> ## run bnpmr function (with "default" parameters and priors)
> res <- bnpmr(y, x)