test_that( "Coxph loglin_M Basic", {
    fname <- 'll_0.csv'
    colTypes <- c( "double", "double", "double", "integer", "integer" )
    df <- fread(fname,nThread=min(c(detectCores(),2)),data.table=TRUE,header=TRUE,colClasses=colTypes,verbose=FALSE,fill=TRUE)
    time1 <- "t0"
    time2 <- "t1"
    event <- "lung"
    names <- c( "dose", "fac" )
    term_n <- c(0,0)
    tform <- c( "loglin", "loglin" )
    keep_constant <- c(0,0)
    a_n <- c(0.01,0.1)
    modelform <- "M"
    fir <- 0
    der_iden <- 0
    control <- list( "ncores"=2, 'lr' = 0.75, 'maxiter' = 20, 'halfmax' = 5, 'epsilon' = 1e-6, 'dbeta_max' = 0.5, 'deriv_epsilon' = 1e-6, 'abs_max'=1.0, 'change_all'=TRUE, 'dose_abs_max'=100.0, 'verbose'=0, 'ties'='breslow', 'double_step'=1)
    e <- RunCoxRegression_Basic(df, time1, time2, event, names, keep_constant, a_n, der_iden, control)
    expect_equal(e$beta_0,c(-0.09962, -0.05698),tolerance=1e-2)
})

test_that( "Coxph censoring weight", {
    fname <- 'll_comp_0.csv'
    colTypes <- c( "double", "double", "double", "integer", "integer" )
    df <- fread(fname,nThread=min(c(detectCores(),2)),data.table=TRUE,header=TRUE,colClasses=colTypes,verbose=FALSE,fill=TRUE)
    time1 <- "t0"
    time2 <- "t1"
    df$censor <- (df$lung==0)
    event <- "censor"
    names <- c( "dose", "fac" )
    term_n <- c(0,0)
    tform <- c( "loglin", "loglin" )
    keep_constant <- c(1,0)
    a_n <- c(0,0)
    modelform <- "M"
    fir <- 0
    der_iden <- 0
    control <- list( "ncores"=2, 'lr' = 0.75, 'maxiter' = -1, 'halfmax' = -1, 'epsilon' = 1e-6, 'dbeta_max' = 0.5, 'deriv_epsilon' = 1e-6, 'abs_max'=1.0, 'change_all'=TRUE, 'dose_abs_max'=100.0, 'verbose'=0, 'ties'='breslow', 'double_step'=1)
    plot_options <- list( "name"=paste(tempfile(), "run",sep="" ), "verbose"=TRUE, "studyid"="studyid", "age_unit"="years" )
    dft <- GetCensWeight(df, time1, time2, event, names, term_n, tform, keep_constant, a_n, modelform, fir, control, plot_options)
    #
    #
    t_ref <- dft$t
    surv_ref <- dft$surv
    t_c <- df$t1
    cens_weight <- approx(t_ref, surv_ref, t_c,rule=2)$y
    # message(sum(cens_weight))
    #
    event <- "lung"
    a_n <- c(-0.1,-0.1)
    keep_constant <- c(0,0)
    e0 <- RunCoxRegression_CR(df, time1, time2, event, names, term_n, tform, keep_constant, a_n, modelform, fir, der_iden, control,cens_weight)

    a_n <- c(-0.1,-0.1)
    keep_constant <- c(0,0)
    e1 <- RunCoxRegression(df, time1, time2, event, names, term_n, tform, keep_constant, a_n, modelform, fir, der_iden, control)
    #
    expect_equal(e0$LogLik - e1$LogLik,8.680511,tolerance=1e-2)
})