search for: out_c

...all = c(NA, NA, NA, NA, NA, NA, NA, 6L, 44L, 33L, NA, 22L, NA, NA, NA, NA, 65L, NA, 10L, NA, NA), ty_all = c(NA, NA, NA, NA, NA, NA, NA, "out_", "out_", "cma_", NA, "cma_", NA, NA, NA, NA, "out_", "out_", "out_", NA, NA), out_c = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), cma_c = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), c_n = c(NA, 1L, NA, NA, NA, NA, NA, 7L, 4L, 7L, NA, 1L, NA, 2L, NA, NA, 7L, 7L, 7L, NA, NA), t_name...

...==================== In glm the offset does not seem to work. When I generate data like n <- 100 beta <- 2 x <- 5*(0:n)/n y <- x+beta*x+rnorm(n) dat <- data.frame(y=y,x=x) out1_glm.fit(x,y,family=gaussian(),offset=x,intercept=FALSE) out2_glm(y~x-1,family=gaussian,offset=x,data=dat) out_c(out1$coef,out2$coef) then out contains two numbers differing by 1, indicating that glm.fit seems to work and glm does not honor the offset. I was trying to implement the Weibull estimation routines as described in Chapter 13 of Gen. Lin. Models 2nd ed by McCullagh and Nelder, and that's whe...

...{data = 0x55b48e61d9bc "", length = 16} in_guid = {time_low = 0, time_mid = 0, time_hi_and_version = 0, clock_seq = "\000", node = "\000\000\000\000\000"} in_c = {num_contexts = 0, contexts = 0x0} in_preauth = 0x0 in_cipher = 0x0 out_c = {num_contexts = 0, contexts = 0x0} out_negotiate_context_blob = {data = 0x0, length = 0} out_negotiate_context_offset = 0 out_negotiate_context_count = 0 dialect = 767 capabilities = <optimized out> out_guid_blob = {data = 0x7fc22871e7c0 <s...