version 1.0.1

DESCRIPTION

@@ -2,15 +2,15 @@ Encoding: UTF-8
 Package: Ake
 Type: Package
 Title: Associated Kernel Estimations
-Version: 1.0
+Version: 1.0.1
 Date: 2015-03-29
 Author: W. E. Wansouwé, S. M. Somé and C. C. Kokonendji
 Maintainer: W. E. Wansouwé <ericwansouwe@gmail.com>
 Description: Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using  associated kernels. The cross-validation  technique and the local Bayesian procedure are also implemented for bandwidth selection.
 License: GPL (>= 2)
 LazyLoad: yes
 URL: www.r-project.org
-Packaged: 2015-03-29 18:49:26 UTC; wansouwe
+Packaged: 2022-06-13 14:32:18 UTC; hornik
 NeedsCompilation: no
 Repository: CRAN
-Date/Publication: 2015-03-30 00:04:27
+Date/Publication: 2022-06-13 15:03:39 UTC

MD5

@@ -1,5 +1,5 @@
-3f18ff53beabf5c012aa34e33e9d37e6 *DESCRIPTION
-f7ae93204a697ef1873fc8d661bb4723 *NAMESPACE
+6be6c48c18b10bce8485035ec8c938cf *DESCRIPTION
+b713ac62c9af951fadbd7096d234cc6a *NAMESPACE
 12eb893947afc7dd68ae95ce90bcfd1b *R/dke.fun.R
 f36687bb037dda6af22cf1e380465ee9 *R/dke.fun.default.R
 da3a4e12b37737cadc85faa4197b86e4 *R/hbay.fun.R
@@ -29,8 +29,8 @@ f30fd918995895b87f4a9862e9741d1c *R/kpmfe.fun.default.R
 d457852e8cd9d56b9cdae4b4116cb2f1 *R/print.reg.fun.R
 0e5b419de1c6b5df0a5f5abe16a879e6 *R/reg.fun.R
 e845a41df4bca68bedd3470b62e13562 *R/reg.fun.default.R
-f8c74ad475096d568d269a9aae616cb3 *R/simp_int.R
-702d803f64e650ec3f3c2f137ed5315b *data/milk.rda
+bf8e112b427ee171f4984e49f39b4e5c *R/simp_int.R
+fd1e1902e93491e92f3d10fe9f255929 *data/milk.rda
 56cfbc3e17b45f783b24299e37ef74b8 *man/Ake-package.Rd
 958373dd0eb9fc49abef39ea587ce937 *man/dke.fun.Rd
 243077e62c46756b09cd2765f3245c4b *man/hbay.fun.Rd

NAMESPACE

@@ -28,8 +28,5 @@ S3method(plot,kpmfe.fun)
 
 S3method(print,reg.fun)
 
-
-
-
-
-
+importFrom("graphics", "hist", "lines", "plot.default")
+importFrom("stats", "approx", "dbinom", "dgamma", "dlnorm")

R/simp_int.R

@@ -1,7 +1,7 @@
 simp_int <-
 function (x, fx, n.pts = 256, ret = FALSE) 
 {
-       if (class(fx) == "function") 
+    if (inherits(fx, "function") )
         fx = fx(x)
     n.x = length(x)
     if (n.x != length(fx))